Journal of Internet Technology: Announcements
Journal Sponsorship The Journal of Internet Technology (JIT) accepts original technical articles in all disciplines of Internet Technology and Applications. JIT has been publishing articles since 2000 and open access since 2018. Manuscripts are submitted for review with the understanding that they have not been published elsewhere. Each author is advised to submit the manuscripts, typewritten, double-spaced, in ps, doc, or pdf formats to the executive editor for peer review. Original drawing need not be sent until the paper is accepted. Once accepted, the manuscript should be submitted as a Microsoft Word or other WORD-processing file and send it through electronic mail along with short biographies and photographs for all the authors. Authors need to pay the publication fee. The author(s) will be responsible for proof-reading the paper. All copyright ownership of the paper will belong to the Journal once it is published. There are six issues a year for this Journal and reviewing results will be provided within six month for most of the submitted manuscripts. Details of electronic submission are shown in the journal website. Topics of interest to JIT include but not limited to: Broadband Networks Wireless Communication Telecommunication Networks Transportation Networks UAV-assisted Networks Satellite Communication Quantum Internet Network Management Network Operating System (NOS) Network Behavior Modeling Security for Networks and Systems Multimedia systems Electronic service systems (Internet, Intranet, Extranet, E-Commerce, E-Business, E-Learning) Cloud Computing / Fog Computing / Edge Computing Internet of Things (IoT) and Internet of Everything (IoX) Big Data for Networking Fintech and Blockchain Artificial Intelligence (AI) for Networking and Service (E-Commerce, E-Business, E-Learning) Government or Staff Jobs Computerization National Information Policy Digital Library Distance Learning Innovative Applications of Network Technologies JIT does not open call for special issue proposal but based on invitations only!
Special Issue: Adaptive and Human-Centered AI for Next-Generation Internet Systems
Theme and Scope The rapid advancement of artificial intelligence (AI) is transforming the Internet from a communication infrastructure into an intelligent, adaptive, and human-centered ecosystem. Emerging technologies such as generative AI, large language models (LLMs), multimodal learning, continual and federated learning, and edge intelligence are enabling Internet systems to learn from evolving data, adapt to dynamic environments, and provide personalized and context-aware services. The integration of AI with the Internet of Things (IoT), edge-cloud computing, mobile systems, and next-generation networks creates new opportunities for distributed and adaptive intelligence. However, increasing autonomy also introduces critical challenges in reliability, privacy, security, fairness, explainability, and user trust. Future Internet systems must therefore achieve not only high AI performance but also continuous adaptation, responsible decision-making, and meaningful human interaction. This special issue aims to advance theories, architectures, algorithms, and applications of adaptive and human-centered AI for next-generation Internet systems. We invite high-quality original research articles, technical developments, experimental studies, and comprehensive surveys addressing adaptive intelligence, human-AI interaction, trustworthy AI, and intelligent Internet technologies and applications. Subject Coverage In this special issue, we call for original papers that describe state-of-the-art technologies and new research findings. Suitable topics include, but are not limited to, the following: Adaptive AI for Next-Generation Internet Systems Continual and Lifelong Learning Human-Centered and Human-AI Computing Generative AI and Multimodal Intelligence Federated and Collaborative Intelligence Edge-Cloud Intelligence and Intelligent IoT Trustworthy and Responsible Adaptive AI Human-Aware Networking and Connected Systems Smart and Human-Centered Internet Applications Instructions for Manuscripts Submitted papers should not be currently under consideration for publication elsewhere. Previously published conference papers should be extended by at least 70% new material for the journal version. All papers are refereed through a peer review process. All submitted papers must conform to the layout and format guidelines of JIT. Submissions must be directly sent via email to Leading Guest Editor, Prof. Lin Hui: amar0627@gms.tku.edu.tw Important Dates Submission Deadline: August 31, 2027 Notification of Acceptance/ Rejection/ Revision: November 30, 2027 Revised Manuscript Due: January 15, 2028 Final Manuscript Due: March 31, 2028 Tentative Publication Date: The 1st quarter, 2029 Guest Editors Professor Huan-Chao Keh Tamkang University, Taiwan Email: 087173@o365.tku.edu.tw Professor Nam Ling Santa Clara University, USA Email: nling@scu.edu Professor Arun Kumar Sangaiah National Yunlin University of Science and Technology, Taiwan Email: aksangaiah@ieee.org Professor Lin Hui (Leading Guest Editor) Tamkang University, Taiwan Email: amar0627@gms.tku.edu.tw; amar0627@gmail.com *If you have any queries concerning this special issue, please contact the Leading Guest Editor, Prof. Lin Hui.*
Special Issue: Emerging Trends of the Internet of Things in Social Sciences
Theme and Scope Communication technologies drive efficiency and informed decision-making across social, environmental, and economic domains. As the 'Internet of Things' integrates machines into network systems, sophisticated communication and dynamic interactions become essential for connecting intelligent entities. Therefore, the 'EAI SGIoT 2026' special issue focuses on practical, digital-capability applications and research challenges—such as resource utilization, telecommunication collaboration, competence transfer, security, and privacy protection—to meet the needs of intelligent societies. Topics appropriate for this special issue include, but are not limited to: IoT communication services, applications, and commercial management IoT applications in Fin-tech and healthcare Big data analysis in the IoT Intellectual property matters regarding recent IoT advances Security, privacy, and dependability issues Voice, image, and video processing in the IoT Instructions for Manuscripts Papers submitted to the special issue should contain original materials not published in nor submitted to other journals. Submissions must be directly sent via email to Leading Guest Editor, Prof. Der-Jiunn Deng: djdeng@cc.ncue.edu.tw All submitted papers must conform to the layout and format guidelines of JIT. The guest editors expect that this special issue of JIT will attract not only the outstanding results from local researchers but also good quality papers from around the world. Quality of the special issue will be guaranteed. In addition, the guest editors may work with the Editor-in-chief of the journal to invite distinguished researchers in the related areas for position papers. Authors whose selected papers have been accepted and presented at the SGIoT 2026 (http://sgiot.org/) are also invited to submit an extended and revised version of their papers to this special issue. The papers must have at least 70% new material compared to the conference paper. Important Dates Full papers due (special-issue submission): November 30, 2026 Notification of acceptance/rejection/revision: February 28, 2027 Revised manuscript due: March 31, 2027 Final manuscript due: April 30, 2027 Tentative publication date: The 3rd or the 4th quarter, 2028 Guest Editors Chun-Hsien Sung Assistance Professor, Department of Financial Law, Ming Chuan University, Taiwan Email: scotsung@gmail.com Der-Jiunn Deng (Leading Guest Editor) Professor, Department of Computer Science and Information Engineering, National Changhua University of Education, Taiwan Email: djdeng@cc.ncue.edu.tw Mohammed Atiquzzaman Professor, School of Computer Science, University of Oklahoma, USA Email: atiq@ou.edu
Special Issue: Generative AI Agents: Architectures, Applications, and Intelligent Autonomous Systems
Theme and Scope The rapid advancement of generative artificial intelligence, large language models (LLMs), multimodal foundation models, and autonomous agent technologies has accelerated the emergence of Generative AI Agents capable of reasoning, planning, memory management, tool utilization, and autonomous task execution. Recent developments in agentic AI frameworks have demonstrated transformative potential across numerous domains, including intelligent education, enterprise automation, healthcare, digital commerce, smart manufacturing, robotics, cybersecurity, software engineering, and scientific discovery. Generative AI agents are increasingly capable of conducting multi-step reasoning, coordinating collaborative workflows, integrating multimodal information, and continuously learning from dynamic environments. Despite these advances, several critical challenges remain unresolved, including hallucination mitigation, trustworthy reasoning, explainability, memory consistency, multi-agent coordination, security vulnerabilities, ethical governance, privacy preservation, computational efficiency, and scalable deployment in real-world applications. This special issue aims to provide an interdisciplinary platform for researchers, engineers, and practitioners to present the latest theories, methodologies, architectures, systems, and applications related to Generative AI Agents. Original and high-quality research contributions are solicited in areas including, but not limited to, the following topics. Architectures for Generative AI Agents Autonomous and Goal-Oriented AI Systems LLM-based Agent Frameworks and Orchestration Generative AI Agents for Intelligent Tutoring Systems Personalized Learning Companions and Virtual Mentors AI Agents for Learning Analytics and Adaptive Education AI for Medicine and Healthcare Research AI Agents for Enterprise Automation Intelligent Customer Service and Conversational Commerce AI-driven Business Analytics and Decision Support Benchmarking and Evaluation Methodologies Real-world Deployments and Industrial Case Studies Future Trends and Challenges in Generative AI Agents Instructions for Manuscripts Submitted articles must not have been previously published or currently submitted for journal publication elsewhere. Submissions must be directly sent via email to Leading Guest Editor, Prof. Yao-Chung Chang: ycc@nttu.edu.tw All submitted papers must conform to the layout and format guidelines of JIT. Best Papers submitted to the 4th International Conference on Intelligent Science and Sustainable Development (ISASD 2026) may also be considered to this special issue after significantly modified with at least 70% difference. Important Dates Manuscript submission Due: Nov. 30, 2026 Notification of Acceptance/Rejection/Revision: Feb. 28, 2027 Tentative Publication: The 3rd quarter, 2028 Guest Editors Prof. Yao-Chung Chang (Leading Guest Editor) Professor, Department of Computer Science and Information Engineering, National Taitung University, Taitung, Taiwan Email: ycc@nttu.edu.tw Prof. Chin-Feng Lai Professor, Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan Email: cinfonlai@ieee.org Prof. Chenglong Shao Associate Professor, Electronics and Information Communication Engineering, Kyushu Institute of Technology, Japan Email: shao@csn.kyutech.ac.jp
Special Issue: Intelligent Data Analytics and Cross-Domain Security in AIoT
Theme and Scope Ambient Intelligence of Things (AIoT) technology, which combines the Internet of Things (IoT) and Artificial Intelligence (AI), is realizing real-time intelligence across all industrial sectors, including manufacturing, defense, energy, and healthcare. However, as the AIoT ecosystem expands, data now traverses various network domains with differing security levels (Edge, Private/Public Cloud, Isolated Networks), leading to unprecedented security vulnerabilities. In particular, in environments implementing strict network isolation policies—such as critical national infrastructure or smart factories—security barriers designed to block external threats are paradoxically causing data isolation, which hinders the flow necessary for intelligent data analysis. Therefore, this special issue seeks innovative research that explores the synergy between data analysis and perimeter security technologies in the AIoT environment. We aim to go beyond technologies that merely detect security threats and propose an intelligent data pipeline architecture where security is embedded from the design stage (Security-by-Design). Through this, we envision the future of intelligent systems where data flows securely, is highly analyzed, and makes trustworthy decisions. Topics of Interest This issue welcomes broad research that includes, but is not limited to, the following topics. Track 1: AI-Driven Advanced Data Analytics in AIoT Spatio-temporal Data Mining Intelligent data preprocessing and purification Multimodal data fusion analysis Federated Learning for AIoT Lightweight analysis models and TinyML Analytics for resource-constrained AIoT devices Predictive maintenance and context-aware analysis based on unstructured/time-series data Track 2: Cross-Domain Data Pipeline & Security Intelligent CDS Data Sovereignty Protection Analysis Cross-Domain Transfer Learning Secure Federated Learning Architecture Data Sandbox and Security Analysis Environments Track 3: Cybersecurity Analytics for Trustworthy AIoT Adversarial AI Analysis and Defense XAI for Security Threat Hunting Adversarial Attack Defense and Robustness Assessment for AIoT Sensors and Models Blockchain-based AIoT Data Integrity Verification and Governance Keywords Analytics: Deep Learning, Time-series Forecasting, Feature Engineering. Security: Intrusion Detection, Malware Analysis, Zero Trust. Cross-Domain: Network Isolation, Data Diode, Protocol Filtering. Submission Guidelines Submissions of this Special Issue must be directly sent via email to Leading Guest Editor, Prof. Ji Su Park: jisupark7203@gmail.com Each paper for submission must strictly follow the instructions provided in the Author Guidelines of the Journal of Internet Technology (JIT). Manuscripts that are already published or under review by other journals or conferences will not be considered. Each submission will undergo a rigorous peer-review process, typically involving two rounds. Previously published conference papers should be extended by at least 70% new material for the journal version. Important Dates All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is Feb 30, 2027. Tentative Publication: The 3rd Quarter, 2028 Guest Editors Prof. Ji Su Park Dept. of Computer Science and Engineering, Jeonju University Email: jisupark7203@gmail.com Prof. Laurence Tianruo Yang Zhengzhou University, China Emil: ltyang@zzu.edu.cn
Special Issue: 2026 International Conference on Applied System Innovation (ICASI 2026)
Theme and Scope Artificial Intelligence (AI) technologies are profoundly transforming the landscape of modern networking, digital infrastructure, and industrial ecosystems. The convergence of AI, Internet of Things (IoT), Edge Computing, Large Language Models (LLMs) for Intelligent Services, AI-Driven Digital Twin and Metaverse Applications, and Big Data is accelerating the development of intelligent, decentralized, and autonomous systems. These advancements are expected to play a critical role in shaping the next generation of smart applications in the post-pandemic digital era. The following outlines several key prospects and research directions of AI-driven technologies for science, engineering, and industry: 1. Advanced Data Intelligence and Predictive Analytics AI technologies have significantly enhanced the ability to extract meaningful insights from large-scale, heterogeneous data sources. By integrating Big Data analytics, machine learning, and AI-driven network intelligence, organizations can achieve more accurate forecasting and real-time decision-making. These capabilities are especially critical in complex networked environments, where predictive models can optimize traffic flow, detect anomalies, and improve system resilience. Furthermore, AI-powered analytics can support emerging applications such as Digital Twins, enabling real-time simulation and predictive maintenance across cyber-physical systems. 2. Autonomous Systems and AI Agents in Intelligent Networks The emergence of AI Agents and Autonomous Systems is redefining how networks operate and adapt. Intelligent agents embedded within network infrastructures can autonomously monitor conditions, optimize resource allocation, and respond to dynamic changes without human intervention. In combination with Edge AI and IoT, these systems enable distributed intelligence, reducing latency and improving responsiveness in real-time applications such as smart cities, autonomous vehicles, and industrial automation. This paradigm shift is paving the way for fully self-organizing and self-healing networks. 3. Intelligent Automation and Edge-Cloud Collaboration AI-driven automation is revolutionizing traditional operational workflows across industries. The integration of Edge Computing with cloud-based AI enables efficient data processing closer to the source, minimizing latency and bandwidth consumption. This architecture supports scalable and real-time intelligent services, including smart manufacturing, healthcare monitoring, and intelligent transportation systems. Additionally, Blockchain technologies can be incorporated to ensure data integrity, trust, and decentralized coordination among distributed network entities. 4. Human-AI Interaction and Personalized Intelligent Services The advancement of Human-AI Interaction (HAI) is enabling more intuitive and adaptive systems that can collaborate effectively with users. AI technologies can analyze user behaviors and preferences to deliver personalized services, improving user experience and engagement. Applications range from intelligent recommendation systems to adaptive learning environments and context-aware services. The integration of Explainable AI (XAI) further enhances transparency and trust, ensuring that AI-driven decisions are interpretable and accountable. 5. Intelligent Decision Systems and Multi-Criteria Optimization With the increasing complexity of networked systems, Intelligent Decision Systems play a crucial role in supporting strategic and operational decisions. AI-enhanced Multi-Criteria Decision Making (MCDM) methods, including ANP, TOPSIS, and VIKOR, provide robust frameworks for evaluating multiple conflicting criteria in dynamic environments. These approaches are widely applicable in network optimization, resource allocation, risk assessment, and policy design, enabling more informed and adaptive decision-making processes. 6. Security, Privacy, and Trust in AI-Enabled Networks As digital systems become more interconnected, ensuring security and privacy is of paramount importance. AI technologies can enhance cybersecurity by enabling real-time threat detection, anomaly analysis, and proactive defense mechanisms. Moreover, the integration of Blockchain and privacy-preserving AI techniques (e.g., federated learning) can strengthen data security and trustworthiness in distributed environments. These technologies are essential for safeguarding critical infrastructures and maintaining user confidence in AI-driven systems. 7. Deep Learning and Machine Learning for AIoT and Industrial Applications The integration of Deep Learning (DL) and Machine Learning (ML) with Artificial Intelligence of Things (AIoT) is driving transformative advancements in industrial and cyber-physical systems. By embedding intelligent learning capabilities into interconnected devices and sensors, AIoT systems can autonomously perceive, analyze, and respond to dynamic operational environments. In industrial applications, DL and ML are widely adopted for predictive maintenance, fault diagnosis, and process optimization. Deep neural networks can effectively analyze high-dimensional sensor data to detect anomalies early, reducing downtime and maintenance costs, while machine learning techniques enhance production scheduling, resource allocation, and supply chain efficiency. The convergence of Edge AI with DL/ML enables real-time analytics at the device level, minimizing latency and reducing dependence on centralized cloud infrastructures. This is particularly critical for smart manufacturing, robotics, and autonomous systems requiring rapid decision-making. Furthermore, Industrial AIoT (IIoT) is evolving toward intelligent and collaborative ecosystems aligned with Industry 4.0 and Industry 5.0, emphasizing human-centric design, sustainability, and system resilience. This special issue will systematically overview and present the latest research in network technology, intelligent computing, IoT, and computer engineering, with a particular emphasis on Artificial Intelligence (AI), Edge Computing, Blockchain, Big Data, and AIoT. It aims to highlight novel methodologies, system architectures, and innovative applications across interdisciplinary domains. Submissions should present original ideas, theoretical advancements, and practical implementations in, but not limited to, the following topics: AI-Driven Network Management and Optimization Generative AI for Network Applications Security, Privacy, and Trust for Networked Systems Large Language Models (LLMs) for Intelligent Services Multimedia Systems and Intelligent Content Processing Electronic Service Systems (E-Commerce, E-Business, E-Learning) Cloud Computing / Fog Computing / Edge Computing Architectures Internet of Things (IoT), Internet of Everything (IoX), and AIoT Artificial Intelligence for Networking and Service Applications AI Agents and Autonomous Networked Systems AI-Driven Digital Twin and Metaverse Applications Human-AI Interaction and User-Centric Intelligent Systems Explainable AI (XAI) and Trustworthy AI in Network Environments Federated Learning and Privacy-Preserving AI Big Data Analytics and Intelligent Data Processing Deep Learning and Machine Learning for AIoT Systems Industrial AIoT (IIoT) and Smart Manufacturing Applications Predictive Maintenance and Intelligent Fault Diagnosis Edge AI and Real-Time Distributed Intelligence Intelligent Decision Systems and Decision Support Models Multi-Criteria Decision Making (MCDM): ANP, TOPSIS, VIKOR AI-Based Optimization and Hybrid Intelligent Algorithms Smart Cities, Smart Transportation, and Urban Computing Healthcare Systems and AI-Enabled Medical Networks FinTech, Digital Economy, and Blockchain Applications Innovative Applications of Next-Generation Network Technologies Technologies Associated with Big Data, AIoT, and Blockchain Submission Guidelines Each paper, written in English, the maximum word count in each paper should be below 8,000 words, including references, illustrations, and authors' short introductions. More information can be found at http://jit.ndhu.edu.tw. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. It should be noted that the prospective authors should only submit an electronic copy of their complete manuscript via emails (vincent.ji1965@gmail.com) to Leading Guest Editor Prof. Liang-Wen Ji, NOT to the JIT submission system. When submitting papers, the authors should specify that the manuscript is for Special Issue: Selected papers from “2026 International Conference on Applied System Innovation (ICASI 2026)”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Important Dates Manuscript Submission Deadline: July 31, 2027 Notification of Acceptance/Rejection/Revision: October 31, 2027 Revise Manuscript Due: November 30, 2027 Final Manuscript Due: January 31, 2028 Tentative Publication Date: The third quarter of 2028 Guest Editors Prof. Liang-Wen Ji National Formosa University, Taiwan Email: lwji@nfu.edu.tw; vincent.ji1965@gmail.com Prof. Sheng-Joue Young National Yunlin University of Science and Technology, Taiwan Email: youngsj@yuntech.edu.tw Prof. Siu-Tsen Shen National Formosa University, Taiwan Email: shen31@hotmail.com Dr. Stephen D. Prior University of Southampton, United Kingdom Email: S.D.Prior@soton.ac.uk
Special Issue: Networked Systems and Computational Intelligence for Next-Generation Healthcare: Data Acquisition, Processing, and Management
Theme and Scope In recent years, how physiological and health-related data can be collected has dramatically expanded. Besides traditional clinical records and medical imaging, data are now gathered through wearable devices, IoT sensors, and other networked monitoring systems. These technologies enable continuous real-time collection of physiological and contextual data, going beyond traditional clinical environments. Effectively using these diverse data sources requires a reliable communication infrastructure and computing frameworks that support ongoing data integration and analysis across distributed systems. In parallel, developments in network architectures, distributed computing (including cloud, fog, and edge environments), and data processing methods have expanded the possibilities for health management. These technologies allow information to be collected and analyzed closer to the source, support real-time monitoring, and facilitate applications ranging from personalized care to strategic planning. At the same time, the increasing interconnection of devices and services raises concerns regarding scalability, reliability, security, and interoperability, which must be addressed for such systems to function effectively in practice. This Special Issue focuses on studies that address how networked systems and distributed computing frameworks can be applied to health data management and service delivery. We particularly welcome contributions that propose systematic solutions to practical problems, such as network and system design for real-time data transmission, distributed algorithms for large-scale health data processing, and methods for integrating heterogeneous data streams from wearable and IoT devices. Application-driven research that links communication technologies, computational methods, and healthcare management is especially encouraged. Topics of Interest Original research articles are invited in, but not limited to, the following areas: Artificial intelligence and large language model (LLM) techniques for early disease diagnosis, progression prediction, and risk assessment AI for multimodal healthcare data integration and representation learning Privacy-preserving AI and distributed learning methods, including federated learning, privacy-enhancing AI, and blockchain-based healthcare data sharing AI-enabled knowledge graphs and topology-based reasoning for healthcare decision support Natural language processing and biomedical text mining for clinical record automation, knowledge extraction, and decision recommendations AI integration with medical IoT devices and intelligent sensing for disease prediction and automated decision-making Real-world deployment of AI healthcare systems: integration, compliance, and case studies Submission Guidelines Submissions of this Special Issue must be directly sent via email to Leading Guest Editor, Dr. Jyun-Yu Jhang: jyjhang@ncut.edu.tw Each paper for submission must strictly follow the instructions provided in the Author Guidelines of the Journal of Internet Technology (JIT). Manuscripts that are already published or under review by other journals or conferences will not be considered. Each submission will undergo a rigorous peer-review process, typically involving two rounds. Previously published conference papers should be extended by at least 70% new material for the journal version. Important Dates Paper submission: March 31, 2026 1st round review notification: May 31, 2026 1st revision due: June 30, 2026 2nd round review notification: July 31, 2026 2nd revision due: August 31, 2026 Tentative Publication: The 1st Quarter, 2028 Guest Editors Dr. Jyun-Yu Jhang (Leading GE) National Chin-Yi University of Technology, Taiwan Email: jyjhang@ncut.edu.tw Dr. Hwa-Young (Michael) Jeong Kyung Hee University, Korea Email: hyjeong@khu.ac.kr Dr. Neil Y. Yen University of Aizu, Japan Email: neilyyen@u-aizu.ac.jp Dr. Yenjou Wang Daiichi Institute of Technology, Japan Email: wang@ditu.jp
Special Issue: Social Intelligent Computing in Internet Technology
Theme and Scope The rapid evolution of internet technology has led to the emergence of social intelligent computing, where artificial intelligence, cognitive computing, and social network analysis converge to enhance digital interactions. This special issue explores the integration of social intelligence in internet technology, focusing on how computational models, machine learning, and big data analytics can optimize user-centric applications and improve decision-making in dynamic digital environments. Social intelligent computing plays a critical role in enabling adaptive, interactive, and context-aware internet applications. By understanding human behavior, cognitive processes, and social dynamics, intelligent systems can facilitate personalized user experiences, enhance online communication, and support smart decision-making in various domains such as e-commerce, healthcare, education, and cybersecurity. Additionally, the intersection of AI-driven computing and social intelligence has the potential to reshape smart cities, IoT ecosystems, and next-generation digital infrastructures. This special issue invites original research contributions, case studies, and review articles that advance the field of social intelligent computing in internet technology. The aim is to foster discussions on novel methodologies, frameworks, and applications that leverage AI, big data, and emerging technologies to enhance social interactions, trust, and decision-making in connected environments. Subject Coverage In this special issue, we call for original papers that describe state-of-the-art technologies and new research findings. Suitable topics include, but are not limited to the following: Social Intelligence in Internet Systems Cognitive Computing in Internet Applications Internet of Things (IoT) and Social Computing Cloud and Edge Computing for Social Intelligence Artificial Intelligence and Machine Learning for Social Computing Cybersecurity and Privacy in Social Intelligent Computing 5G and Next-Generation Networks for Social Applications Blockchain and Distributed Ledger Technologies in Social Computing Big Data Analytics for Social and Cognitive Applications Human-Computer Interaction and Cognitive User Interfaces Smart Cities, Smart Infrastructure, and Social Intelligence Advanced technologies for social-based education and learning Submission Guidelines Submitted papers should not be currently under consideration for publication elsewhere. Previously published conference papers should be extended by at least 70% new material for the journal version. All papers are refereed through a peer review process. All submitted papers must conform to the layout and format guidelines of JIT. Submissions must be directly sent via email to Leading Guest Editor, Prof. Lin Hui: amar0627@gms.tku.edu.tw Important Dates Submission Deadline: September 30, 2025 Notification of Acceptance/rejection/revision: November 30, 2025 Revised manuscript due: December 31, 2025 Final Manuscript Due: January 31, 2026 Publication Date: The 3rd quarter of 2027 Guest Editors Professor Nam Ling Department of Computer Science and Engineering, Santa Clara University, USA Email: nling@scu.edu Professor Timothy K. Shih National Central University, Taiwan Email: timothykshih@gmail.com Professor Lin Hui (Leading Guest Editor) Tamkang University, Taiwan Email: amar0627@gms.tku.edu.tw; amar0627@gmail.com *If you have any queries concerning this special issue, please email the guest editor: Lin Hui*
Special Issue: Recent Advance of IoT in the Social Science
Theme and Scope Innovative solutions provided by communication technologies have significantly contributed to addressing future challenges in social, environmental, and economic domains. These solutions enhance efficiency, strengthen network usage, and facilitate more informed decision-making. Notably, the Internet of Things (IoT), which integrates machines and other entities into network systems, demands increasingly sophisticated communication. Consequently, dynamic interactions within networks are crucial for connecting intelligent machines. The collaboration of digital twins necessitates sensor data, which are embedded within pervasive cyber-physical systems composed of physical objects. Therefore, the EAI SGIoT 2024 special issue focuses on exploring applications and addressing significant research challenges. This special issue emphasizes practical and effective approaches that meet societal needs through improved resource utilization, collaboration, competence transfer, status verification, privacy protection, security, and safety. The topics covered, though not limited to, include healthcare, safety, retail, finance, energy, audio-visual, and legal industries. These areas are integral to the future development of intelligent societies and industries. Topics appropriate for this special issue include, but are not limited to: Industrial IoT services and applications, IoT and Fin-tech applications, IoT and healthcare applications, IoT and fitness applications, IoT and commercial management, IoT and energy management, Big data analysis in the IoT, Intellectual property matters regarding recent advances on IoT, Security, privacy, and dependability issues, Voice, Image and Video Processing in the IoT Papers submitted to the special issue should contain original materials not published in nor submitted to other journals. Proposed Submissions The guest editors expect that this special issue of JIT will attract not only the outstanding results from local researchers but also good quality papers from around the world. Quality of the special issue will be guaranteed. In addition, the guest editors may work with the Editor-in-chief of the journal to invite distinguished researchers in the related areas for position papers. Authors whose selected papers have been accepted and presented at the SGIoT 2024 (http://sgiot.org/) are also invited to submit an extended and revised version of their papers to this special issue. The papers must have at least 70% new material compared to the conference paper. Instructions for Manuscripts Submitted articles must not have been previously published or currently submitted for journal publication elsewhere. The papers must have at least 70% new material compared to the conference paper. All submitted papers must conform to the layout and format guidelines of JIT. All manuscripts will be peer-reviewed before their acceptance for publication. Submissions must be directly sent via email to Leading Guest Editor, Prof. Der-Jiunn Deng: djdeng@cc.ncue.edu.tw Important Dates Full papers due (special-issue submission): January 31, 2025 Notification of acceptance/rejection/revision: April 30, 2025 Revised manuscript due: June 30, 2025 Final manuscript due: July 25, 2025 Tentative publication date: The 3rd quarter, 2027 Guest Editors Chun-Hsien Sung Assistance Professor, Department of Financial Law, Ming Chuan University, Taiwan Email: scotsung@gmail.com Der-Jiunn Deng (Leading Guest Editor) Professor, Department of Computer Science and Information Engineering, National Changhua University of Education, Taiwan Email: djdeng@cc.ncue.edu.tw Mohammed Atiquzzaman Professor, School of Computer Science, University of Oklahoma, USA Email: atiq@ou.edu
Special Issue: Advances in AI Techniques for Intelligent IoT
Theme and Scope The recent advancements in smart devices, mobile networks, and computing technologies are ushering us into a new era of intelligent IoT. To enable these smart devices to provide intelligent services, machine learning techniques are essential for training powerful predictive models. A common approach involves collecting distributed user data to a central cloud for deep learning model training. However, transferring massive amounts of data to the cloud center can cause significant transmission pressure on the backbone network. Additionally, increasing concerns about data privacy and the enforcement of privacy protection laws make it impractical to transmit data from end devices to the cloud. Despite these advancements, existing AI techniques face several limitations that require novel solutions to better comprehend and improve their potential for decision-making in various real-world applications. Key challenges for employing diverse AI techniques include network management, communication efficiency, client selection and scheduling, resource management, security and privacy concerns, incentive mechanisms, and service management and pricing. Addressing these challenges calls for various techniques, including but not limited to: Data augmentation Active learning Multi-task learning Knowledge distillation Model compression Game theory Trust and reputation systems Multi-objective optimization Reinforcement learning Transfer learning Blockchain technology AI based technology Instructions for Manuscripts Submitted articles must not have been previously published or currently submitted for journal publication elsewhere. All submitted papers must conform to the layout and format guidelines of JIT. All manuscripts will be peer-reviewed before their acceptance for publication. Submissions must be directly sent via email to Leading Guest Editor, Prof. Young-Sik Jeong: youngsik.cswrg@gmail.com Important Dates The deadline for manuscript submission: 31 Mar. 2025 Tentative publication date: The 2nd quarter, 2027 Guest Editors Prof. Ji Su Park Dept. of Computer Science and Engineering, Jeonju University Email: jisupark7203@gmail.com Prof. Jin Wang Hunan University of Science & Technology, China Email: jinwang@csust.edu.cn Prof. Young-Sik Jeong Department of AI·SW convergence, Dongguk University Email: youngsik.cswrg@gmail.com
Article Processing Charge: From October 1st, 2024, the publication charge of each paper overseas is USD$1,200. There is an additional USD$200 charge if the length of your paper is 5,001 words to 8,000 words. The publication charge for authors within Taiwan is NT$18,000, with an additional NT$4,000 charge if your paper is 5,001 words to 8,000 words. The length of a full paper normally should not exceed 5,000 words. The word limit of each paper is 8,000 words, including the references and authors' short biographies. There are extra charges for USD$300-USD$1,000/1,000 words if your paper is over 8,000 words. Overseas: Within 5,000 words: USD$1,200. 5,001 words- 8,000 words: USD$1,400. Within Taiwan: Within 5,000 words: NT$18,000. 5,001 words- 8,000 words: NT$22,000. Note: The corresponding author or the first author is Taiwanese, whose main affiliation is Taiwanese institution, and issue a Taiwanese receipt.
Special Issue: Integrating Artificial Intelligence in Online Education: Innovations, Challenges, and Future Directions
Theme and Scope The convergence of artificial intelligence (AI) and online education is revolutionizing the educational landscape, offering both unprecedented opportunities and significant challenges. AI technologies, including machine learning, natural language processing, and intelligent tutoring systems, have the potential to transform how learners access and engage with educational content, how instructors design and deliver courses, and how institutions assess and support student outcomes. The proliferation of these technologies enables more personalized learning experiences, where content and pacing are adapted in real-time to individual learner needs, abilities, and preferences. AI-driven systems can offer data-driven insights into student progress, enhance engagement through interactive tools, and even automate routine tasks for educators, freeing up time for more meaningful instructional interactions. Despite these promising advancements, the integration of AI into online education raises important questions regarding equity, ethics, and the role of human educators. The deployment of AI in education is not without its challenges—ranging from algorithmic bias and privacy concerns to the risk of deepening the digital divide. Furthermore, the reliance on AI could shift the educational paradigm, potentially reducing the human-centered elements of teaching, such as mentorship, empathy, and nuanced judgment, which are critical to the learning process. It is crucial to explore not only the technological aspects of AI in education but also the broader societal and pedagogical impacts. This special issue seeks to provide a comprehensive exploration of how AI can be effectively integrated into online education to benefit diverse learners, while also addressing the significant challenges that accompany this technological shift. It aims to present cutting-edge research on AI applications, explore emerging trends, and foster an interdisciplinary dialogue on the long-term implications of AI on education systems. By addressing both the opportunities and risks of AI, this special issue will contribute to a deeper understanding of how to leverage AI in ways that are both innovative and ethically sound, ultimately shaping the future of digital learning environments. AI-Driven Personalization in Online Learning Ethical and Social Implications of AI in Education Innovative AI Applications in Online Teaching and Learning Challenges in Implementing AI in Online Education The Future of AI and Online Education AI and Gamification in Online Education AI in Collaborative Learning Environments AI for Special Education and Inclusive Learning AI and Data Privacy in Online Education Instructions for Manuscripts Submitted articles must not have been previously published or currently submitted for journal publication elsewhere. Submissions must be directly sent via email to Leading Guest Editor: cinfon@ieee.org All submitted papers must conform to the layout and format guidelines of JIT. Important Dates Manuscript Submission Due: March 31, 2025 Notification of Acceptance/Rejection/Revision: September 30, 2025 Final Manuscript Due: December 31, 2025 Tentative Publication Date: The 1st quarter, 2027 Guest Editors Prof. Chin-Feng Lai Department of Engineering Science, National Cheng Kung University, Taiwan Email: cinfon@ieee.org
Special Issue: International Conference on Innovation, Communication and Engineering 2024 (ICICE 2024)
Theme and Scope AI technologies have brought significant changes to the industry, and these changes are likely to continue influencing the community in the post-pandemic era. Here are some potential prospects of AI technologies for science and industry: 1. Enhanced Data Analysis and Predictive Capabilities: AI technologies have shown great potential in data analysis and predictive capabilities. Companies and research institutions use AI to process and analyze large volumes of data, allowing for more accurate predictions of market trends, consumer behavior, and scientific research directions. This not only improves decision-making accuracy but also significantly reduces the time required for analysis, enhancing operational efficiency and competitiveness. For example, AI can analyze medical data to predict disease outbreaks in advance and develop effective countermeasures. 2. Intelligent Automation and Productivity Improvement: The application of AI technologies in automation has dramatically changed traditional workflows. By incorporating machine learning and natural language processing technologies, many repetitive and low-value tasks can be automated, freeing up human resources to focus on more creative and strategic tasks. Intelligent manufacturing systems in the industrial sector, intelligent customer service in the financial industry, and automated delivery systems in logistics are all typical examples of AI-driven intelligent automation. 3. Personalized Experiences and Service Innovation: AI technologies enable companies to offer highly personalized products and services based on individual needs and preferences. By using deep learning algorithms to analyze user data, companies can provide customized recommendations and service plans for each consumer, thereby improving customer satisfaction and loyalty. For instance, e-commerce platforms use AI to recommend products to consumers, and streaming services offer personalized content recommendations, all of which significantly enhance user experience and market competitiveness. 4. Enhanced Security and Risk Management: With the rapid growth of data and the evolving nature of cyber threats, the application of AI in security and risk management has become increasingly important. AI technologies can monitor and analyze network activities in real-time, quickly identifying and responding to potential security threats, thereby significantly improving the security protection capabilities of enterprises and organizations. Additionally, AI plays a crucial role in risk management in the financial sector by analyzing transaction data and market trends to help companies predict and manage risks, ensuring stable business operations. This special issue will systematically overview and present the latest research in network technology, computing, IoT, and computer engineering technology, with a special focus on artificial intelligence (AI), the Internet of Things (IoT), edge computing, and blockchain technologies. It will outline new developments in fundamental approaches, methodologies, software systems, and applications in these areas. Submissions should consist of novel ideas, original results, and theoretical and applied research on the following topics, but are not limited to: Social Media Network Analysis Social Network Analysis Multi-criteria decision-making Broadband Networks Wireless Communication Telecommunication Networks Transportation Networks UAV-assisted Networks Quantum Internet Network Management Network Behavior Modeling Security for Networks and Systems Multimedia Systems Electronic Service Systems (Internet, Intranet, Extranet, E-Commerce, E-Business, E-Learning) Cloud Computing / Fog Computing / Edge Computing Internet of Things (IoT) and Internet of Everything (IoX) Artificial Intelligence (AI) for Networking and Service (E-Commerce, E-Business, E-Learning) Innovative Applications of Network Technologies Technologies Associated with Big Data, AIoT, and Blockchain Deep Learning Machine Learning Any Other Related Topics We encourage submissions that offer significant advancements and practical solutions in these areas, pushing the boundaries of knowledge and practice in these fields. Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. It should be noted that the prospective authors should only submit an electronic copy of their complete manuscript via emails to Leading Guest Editor Prof. Liang-Wen Ji (vincent.ji1965@gmail.com), not to the JIT submission system. When submitting papers, the authors should specify that the manuscript is for Special Issue: Selected papers from “International Conference on Innovation, Communication and Engineering 2024 (ICICE 2024)”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Important dates Manuscript Submission Deadline: July 31, 2025 Notification of Acceptance/Rejection/Revision: October 31, 2025 Revise Manuscript Due: November 30, 2025 Final Manuscript Due: December 31, 2025 Tentative Publication Date: the fourth quarter of 2026 Guest Editors Prof. Liang-Wen Ji National Formosa University, Taiwan Email: lwji@nfu.edu.tw; vincent.ji1965@gmail.com Prof. Sheng-Joue Young National United University, Taiwan Email: youngsj@nuu.edu.tw Prof. Siu-Tsen Shen National Formosa University, Taiwan Email: shen31@hotmail.com Dr. Stephen D. Prior University of Southampton, United Kingdom Email: S.D.Prior@soton.ac.uk
Special Issue: 6G Enabled Intelligent Edge Computing and Human-Centric IoT
Theme and Scope With the increasing demand for high-speed and low-latency connections, the development of 6G networks that surpass the performance of existing 5G networks is accelerating. 6G networks, which will enable enhanced mobile broadband, a wide range of mechanical communications, highly reliable low latency, sensing capabilities, and application services covering artificial intelligence (AI), will integrate edge and core computing as components of a unified communication and computational infrastructure. As high communication speed and efficient data processing become possible, the utilization of IoT and edge computing technologies based on 6G networks will be applied in various fields such as human-centered real-life technology, safety, convenience technology, autonomous vehicles, smart cities, and telemedicine. Various business models and strategies applying this technology will also emerge. For edge computing platforms, instead of transferring all the collected data directly to the centralized cloud, they can preprocess the data at edge nodes, reducing service latency and energy consumption compared to centralized cloud platforms. In particular, intelligent edge computing provides an opportunity to improve the energy efficiency of IoT and meet the requirements of remote IoT services. Due to these advantages, intelligent edge computing based on 6G is being studied in various fields and methods such as human-centered convenience, efficiency, and service support in smart homes, offices, transportation, healthcare and medical, smart cities, intelligent communication, and smart agriculture. Additionally, in recent years, various IoT devices such as home appliances, sensors, actuators, and drones are being connected to an integrated IoT network where each component can interact. Research on device-edge-cloud continuum platforms that utilize the rich functions and resources provided by edge nodes and the cloud is also underway. This special issue collects the latest technologies and research papers on 6G enabled intelligent edge computing technology and human-centric IoT application, system and platform development, and empirical service implementation and utilization. It also includes application technologies in various fields such as machine learning for IoT, intelligent edge computing management using deep learning, business models and verification, human-centeric IoT utilization and services, and intelligent smart agriculture based on edge computing. Submitted papers are processed by peer review and must adhere to journal regulations. The topics of the special issue are as follows: Keywords: Edge computing platform with Human-centric IoT 6G enabled Human-centric IoT with Machine Learning (ML)/Deep Learning (DL) Intelligent control and management technique with human-centric IoT application Management for 6G enabled edge computing with IoT 6G enabled Novel IoT communication technologies and protocols Safety, security and privacy for 6G based edge computing and IoT Digital Twins, databases and data maintenance for IoT with ML/DL Smart City/Health/Home/Industries/Farm under IoT edge computing Scalable human-centric IoT architectures and systems 6G and its Impact on intelligent IoT Blockchain Technology for Securing IoT Devices Human-Machine Interaction in intelligent IoT edge computing Edge AI, Intelligent edge and computing continuum applications and technologies Business model and evaluation for IoT edge computing applications and services Sustainability in IoT and edge computing Societal impacts and ethical implications of IoT Etc Important Dates Submission Due: August 30, 2025 1st Revision: September 30, 2025 2nd Revision: November 30, 2025 Final Revision: January 30, 2026 August 30, 2025 Tentative Publication Date: January 2027 The end of 2025 Instructions for Manuscripts Prospective authors should ONLY submit an electronic copy of their complete manuscript through emails to Prof. Hwa-Young Jeong (Leading Guest Editor), hyjeong@khu.ac.kr Each paper, written in English, the maximum word number in each paper should be below 8,000 words, including the references, illustrations and short biographies. More information can be found at https://jit.ndhu.edu.tw/. Authors should read over the journal’s Author Guidelines carefully before submission, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. The manuscript template can also be found in the Author Guidelines. Again, prospective authors should ONLY submit an electronic copy of their complete manuscript through emails to Prof. Hwa-Young Jeong (Leading Guest Editor), hyjeong@khu.ac.kr. Please DO NOT submit the manuscripts via online submission system. Guest Editors Prof. Hwa-Young Jeong (Leading Guest Editor) Humanitas College, Kyung Hee University, Seoul, Korea hyjeong@khu.ac.kr Prof. Olha S. Hrynkevych Dept of Statistics, Ivan Franko National University of Lviv, Ukraine olha.hrynkevych@lnu.edu.ua Dr. Jeongeun Byun Director of Technology Commercialization Research Center, Korea Institute of Science and Technology Information (KISTI), Korea jebyun@kisti.re.kr Prof. Jason C. Hung Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taiwan jhung@gm.nutc.edu.tw Dr. Tamra Connor Associate Dean for Accreditation and Operations & Professor, Illinois State University, USA tdavis2@ilstu.edu
Special Issue: Advances in Computing and Information Technologies: Towards a Sustainable Digital Wellbeing
Theme and Scope In the wake of unprecedented technological growth, our society is at a crossroads where integrating advanced computing and information technologies, including generative AI and the metaverse, can profoundly impact human well-being and environmental sustainability. As generative AI and the metaverse redefine the boundaries of digital interaction, there is a pressing need to ensure these technologies are developed and implemented in ways that prioritize human and environmental wellbeing. This special issue seeks to illuminate the path forward, fostering a dialogue that can guide responsible innovation and adopting these transformative technologies, it also addresses the urgent need to ensure that technological advances contribute positively to human well-being without exacerbating environmental degradation or social inequality. This special issue explores the complex interplay between these technologies and sustainable digital well-being, comprehensively examining the challenges, opportunities, and best practices that emerge at this intersection, focusing on how digital technologies can be harnessed to promote sustainable digital well-being. This special issue aims to inspire a collective effort toward creating digital ecosystems that are inclusive, equitable, and aligned with global sustainability goals. By bringing together a diverse array of voices and insights, the issue will significantly impact the future of digital wellbeing. This special issue will delve into a wide array of topics, with a particular focus on the following areas but are not limited to: Ethical AI and Metaverse Design AI for mental health and self-care AI for physical health and wellbeing Personalized healthcare and AI AI for personalized nutrition and fitness plans ICT for health and wellbeing Wearable technology for health and wellbeing Health monitoring and tracking Emerging technologies in health and wellbeing Human-technology interaction and design for wellbeing Sustainable computing in health technology Privacy and security in health technology Social responsibility and technology use Digital therapeutics Telemedicine and telehealth Ethical considerations in health technology Important Dates Manuscript submission deadline: August 31, 2024 First notification: November 30, 2024 Revised notification: December 31, 2024 Final notification: January 31, 2025 Tentative Publication Date: in the second or third quarter of 2026 Instructions for Manuscripts Prospective authors should ONLY submit an electronic copy of their complete manuscript through emails to Dr. Jia-Wei Chang (Leading Guest Editor), jiaweichang.gary@gmail.com Each paper, written in English, the maximum word number in each paper should be below 8,000 words, including the references, illustrations and short biographies. More information can be found at https://jit.ndhu.edu.tw/. Authors should read over the journal’s Author Guidelines carefully before submission, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. The manuscript template can also be found in the Author Guidelines. Again, prospective authors should ONLY submit an electronic copy of their complete manuscript through emails to Dr. Jia-Wei Chang (Leading Guest Editor), jiaweichang.gary@gmail.com. Please DO NOT submit the manuscripts via online submission system. Guest Editors: Dr. Jia-Wei Chang (Leading Guest Editor) Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taiwan E-mail: jiaweichang.gary@gmail.com Research Interests: Artificial Intelligence, Data Mining, e-Learning Dr. Jason C. Hung Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taiwan E-mail: jhung@nutc.edu.tw Research Interests: Intelligent System, Social Computing, Affective Computing, Multimedia System Dr. Neil Yen Department of Computer Science and Engineering/Division of Computer Science, The University of Aizu, Japan E-mail: neilyyen@u-aizu.ac.jp Research Interests: Intelligent Informatics, Human-centered Computing, Computational Intelligence Dr. Hwa-Young Jeong Department of Computer Engineering, Kyung Hee University, Korea E-mail: hyjeong@khu.ac.kr Research Interests: Manufacturing System, Software Architecture, Web Engineering
Special Issue: Emerging security and privacy issues and their countermeasures in Industrial Internet of Things (IIoT)
Theme and Scope The technologies developed using the Internet of Things (IoT) consist of a set of mechanical & digital computing systems which are interconnected to transmit data over a network without relying on any human interference. Moreover, in recent years, developers have popularised the concept using IoT services coupled with Artificial intelligence (AI) to provide real-time applications. These applications have enhanced the development and productivity of sectors such as agriculture, healthcare, transportation, and many more. Furthermore, IoT technologies are also integrated with machine learning (ML) models which result in the enhancement of complex applications in the fields of smart cities, synthetic vision, etc. This provides a significant push to the existing state-of-the-art techniques to scale up to a wide variety of high-level tasks. Therefore, a lot of industries are putting emphasis on gearing up their developments and research work to channel ML and AI techniques into their IoT-based endeavours. Since, the existing big data analytics, depth learning, deep intelligence, fog computing, and sustainable networks, are all part of the complex IoT application environment, it is difficult to keep track of advanced security threats posed by external attackers and malicious users who attempt to hack these IoT networks. Therefore, it is high time to generate awareness among end users & companies that rely on IoT-based applications, especially monetary applications, to safeguard them against such emerging threats. This Special Issue invites researchers and academics to present their ideas on advanced development in AI and ML technologies that can be integrated with IoT to enhance medical, industrial, agricultural, and healthcare systems. Since IoT networks operate on vast volumes of data and complex algorithms, using AI and ML techniques helps in managing the huge datasets and also enables the applications to perform in real-time. The special issue will draw readers from various research domains, such as industrial IoT developers, big data analysts, smart farming experts, and health monitoring developers. The solutions provided by researchers in this special edition will help strengthen the relationship between customers and IoT applications and further promote the use of ML & AI-based applications in this field. The following list comprises the topics related to key aspects of IoT networks, machine learning, intelligent data processing, and artificial intelligence: Secured and privacy-preserved communication protocols in IIoT Blockchain assisted cybersecurity solutions in wireless communications networks Information security and privacy protection for emerging technologies such as cloud/edge/dew/mobile computing Artificial intelligence-based cryptography theory, verification, and application for wireless communication enabled industrial IoTs Secure data transmission in wireless communication enabled IoTs Privacy and accountability of AI-enabled sustainable IoT systems AI and blockchain powered sustainable architectures for IoT applications New trends in cybersecurity to tackle security vulnerabilities and cyber security models for reliable and secure wireless networks Deep learning techniques for identifying micro issues in IoTs devices. Important Dates Manuscript submission deadline: November 30, 2023 July 31, 2024 First notification: January 31, 2024 September 30, 2024 Revised notification: February 28, 2024 October 31, 2024 Final notification: March 31, 2024 November 30, 2024 Tentative Publication Date: in the fourth quarter of 2025 2027 Instructions for Manuscripts Prospective authors should ONLY submit an electronic copy of their complete manuscript through emails to Dr. Chia-Chen Lin (Leading Guest Editor), ally.cclin@ncut.edu.tw Each paper, written in English, the maximum word number in each paper should be below 8,000 words, including the references, illustrations and short biographies. More information can be found at https://jit.ndhu.edu.tw/. Authors should read over the journal’s Author Guidelines carefully before submission, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. The manuscript template can also be found in the Author Guidelines. Again, prospective authors should ONLY submit an electronic copy of their complete manuscript through emails to Dr. Chia-Chen Lin (Leading Guest Editor), ally.cclin@ncut.edu.tw. Please DO NOT submit the manuscripts via online submission system. Guest Editors Dr. Chia-Chen Lin (Leading Guest Editor) Distinguished Professor, Department of Computer Science and Information Engineering, National of Chin-Yi University of Technology, Taiwan E-mail: ally.cclin@ncut.edu.tw Dr. Rajeev Kumar Assistant Professor, Department of Computer Science & Engineering, Delhi Technological University (Formerly Delhi College of Engineering), India E-mail: rajeevkumar@dtu.ac.in Dr. Yu-Dong Zhang Full Professor, School of Computing and Mathematic Sciences, University of Leicester, UK E-mail: yudong.zhang@le.ac.uk Dr. Hyun Sung Kim Professor, Department of Cyber Security, Kyungil University, Republic of Korea E-mail: kim@kiu.ac.kr
Special Issue: Selected papers from “9th International Conference on Applied System Innovation 2023 (ICASI 2023)”
Theme and Scope The COVID-19 pandemic has brought significant changes to the scientific and technological community, and it is likely that some of these changes will continue to impact the community in the post-epidemic era. Here are some potential outlooks for the scientific and technological community in the post-epidemic era: Increased investment in research and development: The pandemic has highlighted the importance of research and development in the field of healthcare and medicine. Governments and private organizations are likely to increase their investment in research to develop new treatments, vaccines, and medical technologies. Emphasis on remote work and collaboration: The pandemic has forced many scientists and researchers to work remotely, and this trend is likely to continue even after the pandemic. Remote work has shown that it is possible to collaborate effectively online, which could lead to increased collaboration across borders and time zones. Greater use of data analytics and AI: The pandemic has generated an enormous amount of data, which can be used to develop insights into the virus and its effects. Scientists and researchers are likely to use data analytics and artificial intelligence (AI) to analyze this data and develop new treatments and technologies. Greater focus on public health: The pandemic has highlighted the importance of public health, and this is likely to continue in the post-epidemic era. Scientists and researchers are likely to focus on developing technologies and treatments that can prevent the spread of infectious diseases and improve public health. Increased awareness of the importance of science: The pandemic has made the public more aware of the importance of science and its role in addressing global challenges. This increased awareness is likely to lead to increased support for scientific research and development. Overall, the post-epidemic era is likely to see significant changes in the scientific and technological community. These changes are likely to be driven by a greater emphasis on public health, increased investment in research and development, and greater use of data analytics and AI. This special issue will provide a systematic overview and state-of-the-art research in Internet Technology, Computing, IoT and Computer Engineering Technology, with a special focus on artificial intelligence (AI), internet of things (IoT), edge computing and Blockchain technologies, and will outline new developments in fundamental, approaches, methodologies, software systems, and applications in these areas. Submissions should consist of novel ideas, original results, theoretical and applied research in following topics, but not limited to: Broadband Networks Wireless Communication Telecommunication Networks Transportation Networks UAV-assisted Networks Quantum Internet Network Management Network Behavior Modeling Security for Networks and Systems Multimedia systems Electronic service systems (Internet, Intranet, Extranet, E-Commerce, E-Business, E-Learning) Cloud Computing / Fog Computing / Edge Computing Internet of Things (IoT) and Internet of Everything (IoX) Artificial Intelligence (AI) for Networking and Service (E-Commerce, E-Business, E-Learning) Innovative Applications of Network Technologies Technologies associated with big data, AIoT and Blockchain Deep Learning Any other related topics Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. It should be noted that the prospective authors should only submit an electronic copy of their complete manuscript via emails to Prof. Liang-Wen Ji (Leading Guest Editor), vincent.ji1965@gmail.com, not to the JIT submission system. When submitting papers, the authors should specify that the manuscript is for Special Issue on “9th International Conference on Applied System Innovation 2023 (ICASI 2023)”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Important Dates Manuscript Submission Deadline: July 31, 2023 Notification of Acceptance/Rejection/Revision: October 31, 2023 Revise Manuscript Due: November 30, 2023 Final Manuscript Due: December 31, 2023 Tentative Publication Date: January 31, 2024 Guest Editors Prof. Liang-Wen Ji National Formosa University, Taiwan Email: lwji@nfu.edu.tw; vincent.ji1965@gmail.com Prof. Sheng-Joue Young National United University, Taiwan Email: youngsj@nuu.edu.tw Prof. Siu-Tsen Shen National Formosa University, Taiwan Email: shen31@hotmail.com Dr. Stephen D. Prior University of Southampton, United Kingdom Email: S.D.Prior@soton.ac.uk
Special Issue: Blockchain with 5G-6G for E-Commerce- Enabling Endogenously Secure E-Commerce Applications
Theme and Scope Blockchain technology is poised to greatly enhance the future of e-commerce. It allows payment settlements instantaneously with zero fraud, extremely high tolerances to DDoS attacks, and is resistant to the scalability issues associated with the networks. Collectively, blockchain and 5G/6G allow for endogenously secure applications that run on mobile devices. When the two most promising emerging technologies, blockchain and 5G/6G, are combined, it can lead to an entirely new generation of secure electronic commerce applications. Although the combination of blockchain/5G/6G is not a new concept, and the underlying technologies have been around for many years, their convergence in e-commerce holds great potential for creating disruptive business models with improved security and privacy models. The effective integration of these techniques provides opportunities for E-commerce through the provision of cryptographically secured infrastructures that are orders of magnitude more secure than their current counterparts. These systems will greatly enhance users' privacy, freedom, and choice by decentralizing information storage and processing. There is no doubt that future generations of 5G/6G networks will support blockchain-based solutions, which will enable users to benefit from faster operations. Blockchain technology can offer solutions including secure authentication to third parties, low transaction costs and high-security standards, using timestamps to detect fraudulent transactions. It is expected that blockchain will bring together the Internet of Things (IoT), E-commerce and emerging technologies, making them more reliable and efficient. Thus paving the way for endogenously secure e-commerce applications. Research in this stream will not only integrate blockchain and 5G/6G into a new paradigm but also increase transaction speed, security of both user and provider along with the generation of a new business ecosystem. It is expected to make great contributions to e-commerce application development within the distributed network of blockchain and 5G/6G technologies. The convergence of 5G/6G with blockchain is promising for E-commerce due to several reasons, including the fact that it holds the potential to facilitate E-commerce with endogenously secure applications. With 5G/6G enabled devices, one can easily purchase any product using Bitcoins without worrying about security issues. Besides, its ability of traceability and transparency has created a higher demand for tracking goods and delivery of goods (for instance: food and pharmaceutical etc.). Given the billions of dollars lost every year due to fraud, this would be a welcome relief for consumers and merchants. This special issue explores the latest trends of blockchain and 5G technologies to enable secure and distributable e-commerce applications. It covers a broad spectrum of research works, including the convergence of blockchain with 5G/6G, applications; design and implementation of different e-commerce business models; distributed ledger technology and blockchain technology; blockchain architecture; stateless hash chains for safe consensus; 5G network, and exploring an effective solution for secured database and information transmission. The prime focus is to explore how blockchain can be used to overcome current limitations in E-commerce security. The main role of the blockchain is to serve as an essential enabler of truly decentralized, secure, and efficient E-commerce. Topics include, but are not limited to: Blockchain based 5G/6G protocols for E-commerce architectures Enabling endogenously secure E-commerce applications with blockchain and 5G/6G networks New opportunities and challenges of 5G/6G and blockchain for E-commerce Privacy preserving 5G networks for E-commerce Blockchain based 5G/6G commerce systems for future era Dynamic spectrum sharing in 5G/6G assisted E-commerce with blockchain Smart and secure E-commerce with blockchain and 5G/6G networks Decentralised 5G/6G networks for securing E-commerce Blockchain and 5G/6G empowered authentication, authorization, and access control algorithms for E-commerce Blockchain assisted cryptocurrencies for E-commerce Blockchain assisted secure mobile transaction processing systems for E-commerce Important Dates Submission Deadline: 10 March, 2023 Authors Notification: 20 July, 2023 Revised Version Submission: 25 September, 2023 Final Decision Notification: 05 December, 2023 Tentative Publication Date: in the 2nd quarter of 2024 in the 1st quarter of 2025 Instructions for Manuscripts Prospective authors should ONLY submit an electronic copy of their complete manuscript through emails to Dr. Xingwang Li (Leading Guest Editor), lixingwang@hpu.edu.cn Prospective authors should ONLY submit an electronic copy of their complete manuscript through emails to Dr. Xingwang Li (Leading Guest Editor), lixingwang@hpu.edu.cn Prospective authors should ONLY submit an electronic copy of their complete manuscript through emails to Dr. Xingwang Li (Leading Guest Editor), lixingwang@hpu.edu.cn Each paper, written in English, the maximum word number in each paper should be below 8,000 words, including the references, illustrations and short biographies. More information can be found at https://jit.ndhu.edu.tw/. Authors should read over the journal’s Author Guidelines carefully before submission, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. The manuscript template can also be found in the Author Guidelines. Guest Editors Dr. Xingwang Li (Leading Guest Editor) School of Physics and Electronic Information Engineering, Henan Polytechnic University, China E-mails: lixingwang@hpu.edu.cn, li.xingwang@yahoo.com Dr. Lingwei Xu Department of Information Science and Technology, Qingdao University of Science and Technology, China E-mail: Xulw1987@ieee.org Dr. Han Wang College of Physical Scienc and Engineering, Yichun University, China E-mail: hanwang@ieee.org
Special Issue: Advanced Technologies of Mobile Cloud Platforms
Theme and Scope Since 2015, the use of mobile Internet access has increased compared to PC. In addition, with the current activation of 5G and the introduction of 6G, services using mobile will be further increased. As a result, the use of mobile cloud is increasing, and the technology of mobile cloud is continuously developing. Therefore, in this special issue, we are looking for papers dealing with various technologies in the mobile cloud platform. Areas relevant to mobile cloud platforms include, but are not limited to, new mobile cloud architecture and infrastructure, recent technologies of mobile cloud storage, recent technologies of mobile cloud networks, computation and data-intensive mobile cloud applications, task scheduling algorithms and techniques for mobile cloud platforms, resource management for mobile cloud platforms, serverless computing architecture and applications, container-based virtualization, hyper-converged infrastructure technologies, and artificial intelligence, machine learning, and deep learning technologies for mobile cloud platforms. Topics of interest include, but are not limited to: new mobile cloud architecture Technologies of mobile cloud storage Technologies of mobile cloud networks Data-intensive mobile cloud applications resource management for mobile cloud platforms Privacy and security for mobile cloud platforms Artificial intelligence, machine learning and deep learning; Computational and data science; Big data applications, algorithms, and systems; Cloud/edge/fog computing; Energy-efficient computing; Instructions for Manuscripts Prospective authors should ONLY submit an electronic copy of their complete manuscript through emails to Prof. Jong Hyuk (James) Park (Leading Guest Editor), james.park.cswrgsi@gmail.com Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including the references, illustrations and short biographies. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines.The manuscript template can also be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Important Dates Initial Submission due: March 1, 2023 Initial editorial decision: March 31, 2023 Final Submission due: April 30, 2023 Final manuscript due: May 31, 2023 July 1, 2023 Tentative publication date:in the 4th quarter of 2023 in the 4th quarter of 2024 Guest Editors Dr. Jong Hyuk (James) Park (Leading Guest Editor) Seoul National University of Science and Technology, South Korea E-mail: james.park.cswrgsi@gmail.com Dr. Yang Xiao The University of Alabama, USA E-mail: yangxiao@ieee.org Dr. Jin Wang Changsha University of Science & Technology, China E-mail: jinwang@csust.edu.cn
Special Issue: Selected papers from "DSA, ISSSR, and QRS 2022"
Special Issue on "Quality Assurance of Dependable Systems and Software" Theme and Scope The Internet has prevailed everywhere. Many things are connected and communicated with each other within the same network or among different networks to provide aggregated services that have significant impacts on our lives. Quality assurance has become a critical component at every stage in the development of these things. In this special issue, we focus such things on Dependable Software Systems, especially systems whose operations are initiated and/or controlled by software. We emphasize three major research domains: 1) the quality assurance of artifacts generated during various stages of the development, such as program code and design documents, 2) the definition and exploration of quality relationships among different development phases, such as the impact that the quality of requirements might have on the quality of the derived architecture, and 3) the investigation of how codification and communication of knowledge affects the quality these artifacts. Topics of interest include, but are not limited to, the following: Testing and validation: automation, conformance, strategies, economics, performance and robustness, processes and standards Metrics and evaluation: management and assurance, measurement and benchmarking, review, inspection and walkthrough, reliability, safety, and security Formal methods and verification: program analysis, model checking, and model construction Components and reuse: requirements engineering, architecture, middleware, and application servers Emerging technology: pervasive computing, service-oriented computing, cloud computing, artificial intelligence and machine learning Applications: IoT systems, component-based systems, digital libraries, distributed systems, e-commerce, embedded systems, real-time systems, enterprise applications, information systems, multimedia, web-based systems, mission- and safety critical systems Instructions for Manuscripts Each paper should be written in English with a maximum length of under 8,000 words, including the references, illustrations, and short biographies. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines.The manuscript template can also be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Prospective authors should ONLY submit an electronic copy of their complete manuscript through emails to Professor Eric Wong, ewong2006@gmail.com Important Dates Submissions Deadline: September 15, 2022 First Reviews Due: October 15, 2022 Tentative Publication: November 30, 2023 Guest Editor Professor W. Eric Wong University of Texas at Dallas, USA E-mail: ewong2006@gmail.com
The following Special Issues have been suspended due to some particular reasons. The authors who would like to submit your works to those issues could submit your manuscripts through regular track. Thank you for considering the Journal of Internet Technology for your valuable works. Renewable Energy Integration in Smart Grid and Energy Internet AI-Powered Security- Privacy for Fog Computing and Industrial Internet of Things Adaptive Error Control in Wireless Sensor Networks Frontiers in Federated cloud and applications Intelligent Resource Management at the Edge for Future Web, Mobile and IoT Applications Trends in Quantum Computing and Future Applications Advances in Federated Learning for Secure Internet of Things
Special Issue: “Recent Advance in Future IoT for Intelligent Society and Industry”
Theme and Scope Internet of Things (IoT) technology gradually become part of life. The combinations and integrations of emerging technologies, i.e. 5G, AI, and Blockchain, will direct the future development of IoT industry. Thus, dynamically interactions within network are essential to the connections of intelligent machines. The collaborations of digital twins require the provision of sensor data, which contained pervasive cyber-physical systems consisting of physical objects. Hence, this special issue devoted a demand to reflect future applications and significant research challenges, and focuses on the discussion on research results of IoT technologies plunged into intelligent society and industry. Therefore, the special issue would refer to more practical and useful approaches in, e.g., healthcare, safety, retail, financial, energy audio-visual, or legal industries, which are closely connected to future developments of IoT. Original submissions regarding all areas related to advances on applications, methods and approaches envisioning to discourse the new challenges in IoT technologies are applicable. Topics appropriate for this special issue include, but are not limited to: Industrial IoT services and applications, IoT and Fin-tech applications, IoT and healthcare applications, IoT and fitness applications, IoT and commercial management, IoT and energy management, Big data analysis in the IoT Block chain technologies in the IoT, Intellectual property matters regarding recent advances on IoT, Security, privacy, and dependability issues, Voice, Image and Video Processing in the IoT Papers submitted to the special issue should contain original materials not published in nor submitted to other journals. Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including the references, illustrations and short biographies. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. The manuscript template can also be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Prospective authors should submit an electronic copy of their complete manuscript through emails to Prof. Der-Jiunn Deng, Email: djdeng@cc.ncue.edu.tw Please specify that the manuscript is for the "Special Issue on ‘Recent Advance in Future IoT for Intelligent Society and Industry’”. Timeline Manuscript Due: October 15, 2022 Notification of Acceptance/Rejection/Revision: December 31, 2022 Revised Manuscript Due: March 25, 2023 Final Manuscript Due: April 15, 2023 Tentative Publication Date: 4th Quarter, 2023 March or May 2024 Guest Editors Prof. Chun-Hsien Sung Department of Financial Law, Ming Chuan University, Taiwan Email: scotsung@gmail.com Prof. Chun-Cheng Lin Department of Industrial Engineering & Management, National Yang Ming Chiao Tung University, Taiwan Email: cclin321@nycu.edu.tw Prof. Der-Jiunn Deng Department of Computer Science and Information Engineering, National Changhua University of Education, Taiwan Email: djdeng@cc.ncue.edu.tw
Special Issue: Advances in Green Communication Technologies for Future Generation Computing Systems
Theme and Scope Over the last decade, information and communication technologies have attained enormous growth, and it may continue to rise exponentially in the coming years. In more precise terms, technology act as an enabling factor for communication, and it has the power to transform society. However, with increasing innovations, computing infrastructures and systems are rapidly growing, which makes them more complex and energy-constrained. The big data sources generated from a wide range of applications, including intelligent traffic control systems, military, healthcare, and smart cities, carry critical information that needs to be captured and processed at the right time for effective decision-making processes. Since a long time, the technique of wireless communication networks is being applied towards these applications, but it becomes inefficient and cost-expensive when dealing with a massive amount of big data sources. Further, it is estimated that these networks contribute to an increased CO2 emissions rate, causing adverse impacts on the environment. These occurrences are especially true in the aspect of future generation computing systems. Consequently, a common solution to the concerns mentioned above includes the development of low-cost, low-power, environment-friendly, context-aware self-optimizing technologies for future generation computing systems. Incorporating green communication strategies can potentially empower computing applications to make a real difference in the world of technology, enabling a better future for the digital generations to originate. The effective use of these techniques empowers energy efficiency and addresses environmental issues concerned with traditional information and communication technologies. In this context, green communication techniques enable numerous opportunities for next-generation modern computing systems. Further, it contributes to a significant economic value for the global economy and providing the basis for sustainable development. This special issue provides a comprehensive platform for green communication in consideration of every aspect of the information and communication technology, including wired and wireless networks. It aims to explore various concepts and practices of green communication, addressing holistic approaches for future generation computing networks. Research submissions contributing to methods, tools, and algorithmic frameworks of green communication are most invited from a real-world perspective. Context-aware self-optimizing 6G networks for future generation computing systems Energy efficient green communication technologies for data intensive applications Enabling technologies for green communication from a future perspective Analytical and network optimization models for energy efficient green communication techniques Innovative architectures and network topologies for future generation computing systems 6G enable energy efficient green communication network architectures for modern data centers Green communication in cloud computing and fog/edge networks Energy consumption models and metrics for green communication networks Advances in green wireless networks for Internet of Things Energy saving green communication wireless networks for mobile applications Energy efficient green communication protocol design and architectures for future generation systems Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including the references, illustrations and short biographies. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines.The manuscript template can also be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Prospective authors should submit an electronic copy of their complete manuscript through emails to Dr. Syed Hassan Shah, Emails: sh.ahmed@ieee.org, hassanshah@fullerton.edu Important Dates Submissions Deadline: 28 June 2022 First Reviews Due: 30 July 2022 Second Reviews Due: 13 September 2022 Revision Due: 14 November 2022 Notification of Final Decision: 15 January 2023 Tentative Publication: January 2024 Guest Editors Dr. Syed Hassan Shah (Lead Guest Editor) California State University, Fullerton, CA, USA. Emails: sh.ahmed@ieee.org, hassanshah@fullerton.edu Dr. Murad Khan School of Computer Science and Engineering, Kyungpook National University, South Korea. Email:mkhan@knu.ac.kr Dr. WaelGuibene Infineon Technologies, USA. Email:wael.guibene@ieee.org
Special Issue: “The 17th International Conference on Information Security Practice and Experience (ISPEC 2022)”
Theme and Scope The International Conference on Information Security Practice and Experience (ISPEC) solicits papers, posters, practices, and experiences for presenting innovative research results, problem solutions, and new challenges in the field of information security. The whole spectrum of IT systems and application areas, including hardware design and software systems, with stringent relevant to security and privacy concerns are of interest to ISPEC. This year, the 17th International Conference on Information Security Practice and Experience (ISPEC 2022) will be held in Taipei, Taiwan, on November 23-25, 2022. The conference will be organized by National Dong Hwa University (NDHU), Taiwan, and co-organized by National Taiwan University of Science and Technology (NTUST), Taiwan, and National Sun Yat-sen University (NSYSU), Taiwan. The aim of ISPEC 2022 is to provide a leading edge forum to foster interaction between researchers and developers with the information security practice and experience communities, and to give attendees an opportunity to interact with experts in academia, industry, and governments. More information about the conference can be found at its website, i.e. https://ispec2022.ndhu.edu.tw/. This special issue is to publish outstanding researches from ISPEC 2022. We plan to select the papers relevant to information security practice and experience from the accepted papers based on the reviews (comments and scores) and the presentations during the conferences. Each selected paper must be substantially extended, with at least 40% difference from its conference version. Topics of interest include but are not limited to: Access control Applied cryptography Big data security and privacy Biometric Security Cloud security Cryptocurrency Cyber security for urban transportation Cyber-physical security Data security in cloud computing Database security Digital forensics Embedded systems security Formal methods for security Intrusion detection Key management Lightweight security Web security Malware detection Mobile security Network security and privacy Operating system security Privacy enhanced technology Secure data sharing in cloud Security and privacy in edge computing Security and privacy in IoT Security and privacy in ubiquitous computing Security for critical infrastructures Security issues in blockchain Smart grid security Software security Viruses and malware Trust management system for mobile computing Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including the references, illustrations, and short biographies. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines.The manuscript template can also be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Prospective authors should submit an electronic copy of their complete manuscript through emails to Prof. Kuo-Hui Yeh, khyeh@gms.ndhu.edu.tw Important Dates Manuscript submission deadline: December 15, 2022 February 28, 2023 Notification of Acceptance/Rejection/Revision: March 15, 2023 Tentative Publication: January 2024 March or May 2024 Guest Editors Dr. Kuo-Hui Yeh National Dong Hwa University, Taiwan. E-mail: khyeh@gms.ndhu.edu.tw Dr. Chi-Yuan Chen National Ilan University, Taiwan. E-mail: chency@niu.edu.tw Dr. Shi-Cho Cha National Taiwan University of Science and Technology, Taiwan. E-mail: csc@cs.ntust.edu.tw Dr. Chun-I Fan National Sun Yat-sen University, Taiwan E-mail: cifan@cse.nsysu.edu.tw
Special Issue: Insights of Energy Efficient Smart Buildings: An IoT-Based Approach
Theme and Scope Smart buildings have been gaining pace in recent years. A smart building is one where all the electronic systems work together to make the user experience more pleasant. However, many people realize that even the most modern facilities are still not as efficient as possible. That provides an opportunity to create smarter buildings that do not waste energy while at the same time making sure occupants’ needs are met too. Energy efficiency is one of the biggest challenges that modern society is facing. In the next few years, we need to transition from traditional energy systems to smart building solutions for a smarter, more sustainable world. The evolution of IoT has been driven by an increasing demand for real-time information, on-demand services, and products and services tailored to individual requirements. The main causes of energy waste are inefficient lighting and air conditioning systems, inaccurate thermostats, and poor insulation. These factors make optimizing building performance a challenging task. There are three main areas IoT can be applied for energy efficiency. The first is monitoring actual energy use in buildings, which can be done using sensors or other devices connected to the network. The second area is predictive analytics, which means using the data to predict when equipment will fail and preventative maintenance. The third area is demand response, which refers to how buildings can respond to peak energy use and help reduce the overall amount of power used. A few of the challenges of implementing IoT solutions for smart buildings include lack of a clear business case, unsuitable existing IT environment, technical issues related to connecting sensors, security, service costs, and difficulty installing sensors. With the growing demand for energy and increasing energy costs, there is a great need to implement optimal energy efficiency solutions in buildings. To make this possible, reliable, real-time information on energy usage is required. Implementing various IoT-based solutions will allow building owners to monitor their facilities more effectively and efficiently. However, the implementation of IoT in smart buildings is complicated due to various factors like network connectivity issues, lack of standardization in data exchange, etc. A few smart buildings are already implemented with IoT solutions collecting data from sensors and relaying them via WSNs or cloud-based solutions. Some of these systems are installed with ML algorithms to detect anomalies in the data collected from sensors and predict future events. These systems can be used as an input trigger for further actions by building occupants. This will provide real-time data on energy usage and help building occupants save money and reduce carbon footprints. In this special issue, we have investigated the main challenges for smart buildings regarding energy efficiency and welcome new ideas for smart buildings and IoT solutions deployed in the future. Papers could consider but are not limited to IoT-based energy storage technologies Advanced methodology in IoT for energy management A move towards carbon sequestration, biofuels, and replacements The challenges of data privacy in IoT applications The high implementation cost of an IoT-based system Role of renewable energy in increasing energy system efficiency Energy-efficient software and IoT applications for sustainability Energy-saving IoT applications in healthcare technologies Smart city renewable energy systems Energy-saving measures using smart occupancy sensors Integrating smart buildings with the environment AI-powered privacy protection in smart buildings Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including the references and illustrations. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Insights of Energy Efficient Smart Buildings: An IoT-Based Approach”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Important Dates Article Submission Deadline: 01-July-2022 15-July-2022 Authors First Notification Date: 01-September-2022 Revised Papers Due Date: 01-October-2022 Final Notification Date: 01-January-2023 Tentative Publication: January 2024 Guest Editors Dr. Hamed Hashemi-Dezaki Regional Innovation Centre for Electrical Engineering (RICE), University of West Bohemia, Czech Republic E-mail: hhashemi@ieee.org Dr. Hamed Nafisi School of Electrical and Electronic Engineering, Technological University Dublin (TU Dublin) E-mail: Hamed.Nafisi@TUDublin.ie
Special Issue: Selected Papers from The 12th International Conference on Electronics, Communications and Networks (CECNet 2022)- “Recent Advances in Communication Technology and Its Applications”
Theme and Scope Recent developments taken place in the era of communication throughout the globe are very attracting and remarkable. This was made possible due to the achievements and enhancements in new fields like Artificial Intelligence, Machine learning, Deep Learning, 5G and Big data analytics along with the rapid developments in electronics and information technology. With these tremendous happenings in the communication technology will definitely create a platform to fulfill our further dreams. The main purpose of this special issue is to publish selected high standard and worthy papers from “The 12th International Conference on Electronics, Communications and Networks (CECNet 2022)” and hence to solve our dreams to come practical solutions and also to face the challenges of the present internet technology Passionate. This special issue will also provide a great media to all the academicians, Industrialists and researchers to share all their views and concepts throughout the enthusiastic technology globalists. The worthy topics in this special issue include but are not limited to: Block chain Technology Artificial Intelligence Machine Learning Deep Learning Voice, Image and Video Processing Wireless Communication Networks Computing Technologies Sensor Technology Ocean & Satellite Technology IoT & Big Data Analysis Techniques Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw . Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “(CECNet 2022) Recent Advances in Communication Technology and Its Applications”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines Important dates Submission Window Opens: November 15- November 30, 2022 Notification of Acceptance/Rejection/Revision: January 31, 2023 Revise Manuscript Due: March 31, 2023 Final Manuscript Due: May 30, 2023 Tentative Publication Date: December 31, 2023 Guest Editors Dr. Raveendra K Sri Venkateswara Engineering College (Formerly SVEW), India E-mail: raveendrasvew@gmail.com Dr. Xiang Li School of Electronic Engineering and Automation, Guilin University of Electronic Technology, China E-mail: xli1984@hotmail.com Dr. Tarik A. Rashid Computer Science and Engineering, University of Kurdistan, Iraq E-mail: tarikrashid4@gmail.com
Special Issue: Blockchain as a Services: Architecture, Networking and Applications
Theme and Scope Blockchain is a decentralized technology that makes it hard to hack the platform or modify the information stored, making it safe and unchangeable. Furthermore, BaaS (Blockchain as a Service) is built upon the SaaS (software as a Service) model, enabling clients to construct, deploy, and run their blockchain applications and similar approaches on the blockchain using cloud-based solutions. The primary goal of BaaS is to allow applications to run without requiring the establishment of a blockchain-based infrastructure. In addition to that, BaaS supports consumers in establishing faster applications, minimal maintenance, and quicker deployment of Blockchain technologies. Furthermore, by choosing the suitable blockchain as a Service provider, businesses may have exposure to blockchain developers, procedures, regulation, and the entire cloud platform for design and deployment, everything without incurring any start-up or administrative expenses. Similarly, a reliable BaaS provider for the organization is a valuable source of pragmatic knowledge and understanding that can be exploited to improve the network's system security. Similarly, a competent Blockchain as a Service in an organization is usually a great source of technical insight that could aid organizations in improving their network security. It considerably reduces the amount of hazards that would otherwise have to be dealt with if the application was developed in house. In summary, the fundamental objective is to offer easy-to-use infrastructure-less, addressing the needs whenever required and providing immediate, portable information as wisdom coverage when needed. This issue aims to associate all the investigations related to architecture design, theories and algorithms, Scalability and fault tolerance mechanisms, performance analysis and optimization. Learning-based analysis, Edge/cloud intelligence, and blockchain-based industrial application are highly interested in describing original and unpublished work addressing blockchain as a Service, Architecture, Networking and Applications. Topics include, but are not limited to: Novel theoretical concepts and applications of blockchain as a Service Testbeds, simulation techniques, frameworks, and debugging tools related to Blockchain as a Service Risk assessment and Vulnerability analysis in Blockchain as a Service Process Automation and end to end blockchain integrated with blockchain as a Service Smart contract and distributed ledger for Blockchain as a Service Scalability and fault tolerance mechanisms for Blockchain as a Service Learning-based analysis, design and optimization of BaaS Edge/cloud computing and intelligence for BaaS BaaS based industrial application services Real-time data storage and distributed systems for Blockchain as a Service Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Blockchain as a Services: Architecture, Networking and Applications”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Tentative Dates Submission Deadline: 25th October, 2022 Authors First Notification: 20th February, 2023 Revised Version Submission: 15th April, 2023 Final Decision Notification: 27th July, 2023 Tentative Publication: December 2023 Guest Editors: Dr. Chi Lin School of Software, Dalian University of Technology, China E-mail: clindut@ieee.org Dr. Chang Wu Yu Department of Computer Science and Information Engineering, Chung Hua University, Taiwan E-mail: cwyu@chu.edu.tw Dr. Ning Wang Computer Science & Research, Rowan University, USA E-mail: wangn@rowan.edu
Special Issue: Artificial Intelligence Assisted Industrial IoT for Machine Health Monitoring
Theme and Scope With the advent of technology, existing systems are enhanced for performance and better efficiency. Machine health monitoring or machine condition monitoring is an evolving field that helps assess the condition or health of a machine throughout its lifecycle or over a particular period of time. An artificial intelligence (AI) assisted Industrial IoT system that can offer machine health monitoring can significantly reduce the unplanned downtime and the costs associated with it. This can be achieved by proper machine condition monitoring systems that can assess and track the machine health and condition in terms of maintenance, overrunning, and efficiency. In an AI-assisted industrial IoT system, the machine is either embedded or equipped with sensors that collect real-time data on various parameters relating to machine health. This might include recording of temperature, pressure in pipes, vibration frequency, deflection, calibration etc. The data collected by these sensors are transferred to a cloud platform where the data is combined and analysed using various computational tools and analytical methods. The result of such intense calculations and processing is a set of crucial insights about the operational characteristics and condition of the industrial machinery. The above-said insights are communicated to the users or a self-repairing system in the form of charts, diagrams or signals. AI can even be used to detect a deviation from the actual set values or criteria based on big data sets and Deep Learning (DL) machine models. The machine condition monitoring solution can be implemented for a variety of industrial applications. For instance, the condition of welding and laser equipment, spindles etc. can be tracked in automobile manufacturing industries. Automatic assessment and detection of cracks, sapling, and misalignment can be carried out seamlessly without the need for physical access. Also, sophisticated machine condition monitoring systems can detect extreme conditions like circuit degradation, imbalance in supply current, motor damage, rotor eccentricity, defects in conveyors etc. Cloud-based health monitoring systems are also a common research topic in this area. In spite of its significance in quality control and machine health monitoring, AI-based industrial IoT systems can be further employed for future performance predictions, efficiency, and the probability of producing a defective product. List of topic areas include, but are not limited to: Knowledge-based machine condition monitoring systems. Identification and analysis of floating offshore structures based on AI-assisted machine health monitoring. Machine health monitoring of unmanned and long-flight aerial vehicles. Support system architectures for AI-based machine health monitoring systems. Integration of novel techniques and concepts for automatic detection of structural health in civil infrastructure systems. Cloud-based machine health monitoring model using AI and Big Data. Innovative methods to assess the vibration in tall towers. Data-driven methods for AI-based industrial IoT and machine health monitoring. Fault signature analysis for critical machine components using AI and Computer vision. Semi-supervised industrial machine health monitoring systems. Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Artificial Intelligence Assisted Industrial IoT for Machine Health Monitoring”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Important Dates Manuscript Submission Deadline: October 30, 2022 First Notification: January 02, 2023 Revised Papers Due: March 20, 2023 Final notification: May 15, 2023 Tentative Publication: the 4th Quarter of 2023 Guest Editors: Dr. Byung-Gyu Kim (Lead Guest Editor) Sookmyung Women’s University, Seoul, Rep of Korea E-mail: bg.kim@sookmyung.ac.kr; bg.kim@ieee.org Dr. Partha Pratim Roy Indian Institute of Technology Roorkee, India E-mail: partha@cs.iitr.ac.in Dr. Leng Lu Nanchang Hangkong University, China E-mail: leng@nchu.edu.cn
Special Issue: Advances in Data Fusion for Monitoring and Change Detection in UAV
Theme and Scope Unmanned Aerial Vehicles (UAVs) with a variety of sensors can collect real-time, high-resolution sensory data of the environment in a secure manner. Construction, agriculture, entertainment, and transportation can all benefit from this information. The autonomy of the drone is important for many of these applications. In order to make sense of complex environments without requiring operator interference, UAVs must be equipped with accurate localization, navigation, and exploration capabilities. Users of UAV technology are often bombarded with massive quantities of data (e.g., large volumes of imagery). Hence there arises a critical need for intelligent algorithms for monitoring and controlling the data overflow by applying fusion and transforming different data into valuable and concise information. Radar, pseudo-satellite base stations, satellite and visual guidance are among the most widely used guidance systems today. However, achieving a near-ideal effect with only one of these approaches is difficult. Even the most commonly used satellite GPS system is highly susceptible to interference, despite the fact that it can acquire maximum location and real-time information and as a result the accuracy is not high enough. The widely used visual navigation system can only provide directions within a short distance, and the location of fast-moving objects is not precise enough. For redundant guidance, using multiple sensor data fusion is a better approach today. Many countries have begun to investigate the methods of applying multi-sensor data fusion technology to the autonomous landing guidance in UAV in recent years. This emerging new technology-oriented application in various domains have proliferated the technological advances in recent years in Unmanned Aerial Vehicle (UAV) and with regular revisit time in high-resolution satellite imagery to address security challenges on regional to global scale. Though UAV-based remote sensing is restricted in its ability to track wide areas, it is quickly becoming a prerequisite for satellite remote sensing due to its ability to create and test field-scale models which can be ranged with the scaling from regional to global scale by renovating satellite observations from UAV-based models. The realization of autonomous landing of drones is becoming highly important to obtain high-precision navigation information in such a way how to sensibly fuse the measured data of the sensors. Most of the applications, mainly those involving seasonal or rapid changes, can benefit from fused fine-resolution involving with time-series datasets. Data fusion can be used to provide periodic data for phenology monitoring while maintaining a fine spatial resolution specific to the area. For rapid change cases, the argument for fused data is potentially even stronger. The case for regular updates at fine resolution is evident in these circumstances. Although these application domains provide convincing reasons for data fusion, there are a number of obstacles to overcome, including the following: (i) Because some of the sensor’s data volumes provided at coarse resolution are already enormous, fusion of datasets would almost certainly have to be done on a case-by-case basis as like an on demand service and (ii) ultra-fast processing will be required to generate prompt change events implying that accuracy may be outweighed by speed in such cases Satellite/UAV data fusion enhanced the model performance compared to satellite or UAV data because of the complementary information given by abundant spectral features that are satellite-based and structure features derived from UAV. Consequently end-to-end construction of a low-cost efficient civilian UAV system, incorporating hardware and software, research results relating to the designing and implementation of a compact and low-cost UAV system with multi-sensor data fusion, UAV-based video data and its real-time processing, and its evaluation for civilian applications are all needed in research focus with fast-response to time critical environmental applications, such as, fire behavioural and characteristics analysis, wildfire surveillance , crop monitoring and stress detection , and Fire Search and Rescue decision making approaches. This Special Issue on Advances in Data Fusion for Monitoring and Change Detection in UAV emphasis on the emerging solutions and the state-of-the-art for the intelligent processing of data from the tiny sensors on-board with the localization and navigation of UAVs. Potential topics of interest include, but are not limited to: Fault detection in Airspeed measurement in UAV – Approaches for identification Methods for UAV Inspection based on multi- sensor data fusion Approaches and the applications of change detection in 3D imagery Data fusion approaches – crop monitoring and change detection Computer vision, photogrammetry, and remote sensing in UAV Yield prediction in crop – applying deep learning with multimodal fusion techniques in UAV Geo statistical fusion approaches for robust drone detection Point cloud processing on 2D/3D image Change detection in UAV with image orientation Recent trends in multi-source remote sensing /data fusion Machine learning and deep learning on UAV – A research perspective UAV and its data fusion approach in the applications for automatic forest fire detection Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/ . Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines . Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech . When submitting papers, authors should specify that the manuscript is for Special Issue on “Advances in Data Fusion for Monitoring and Change Detection in UAV”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline . Important Dates Submission Deadline: April 20, 2022 Author First Notification: July 31, 2022 Revisions Due: September 30, 2022 Final Notification: November 30, 2022 Tentative Publication: the 4th Quarter of 2023 Supervising Editor: Dr. Wei-Che Chien Department of Computer Science & Information Engineering, Dong Hwa University, Taiwan E-mail: wcc@gms.ndhu.edu.tw Guest Editors: Dr. Manju Khari Jawaharlal Nehru University, India E-mail: manjukharii@ieee.org Dr. Rubén González Crespo Universidad Internacional de La Rioja, Spain E-mail: ruben.gonzalez@unir.net Dr. Hemlata Sharma Sheffield Hallam University, United Kingdom E-mail: h.sharma@shu.ac.uk
From January 1st, 2022, the publication charge of each paper overseas will be USD$800. There is an additional USD$200 charge if the length of your paper is over 5,000 words. Purchasing single pdf will be US$50 and a hard copy will be US$100.
Special Issue: Smart Logistics Technologies for E-Business and Mobile Commerce
Theme and Scope Logistics is a vital element in improving the supply chain of any organization. It even boosts the business by increasing productivity. In any business, transportation from supplier to production unit and movement of finished products to customers depends on the untroubled logistics. In the e-commerce sector, the expectation of the customers must be fulfilled without compromising the timely, safe, secured and damage-free delivery. Therefore, smart logistics can play an important role in distributing products to customers all over the world by using technology to reach customers without delay. Usage of smart logistics can also improve the efficiency and planning of the business. Smart logistics use various technology in transportation such as smart robots, driverless vehicles and automatic systems to handle the products inside the warehouse. They use artificial intelligence for better logistics as well. Smart logistics also uses the Internet of Things (IoT) to meet the expectations and needs of customers all over the world. The E-commerce supply chain is known for its easy accessibility, safety and timely delivery of orders. Therefore, these delivery and supply chains are enhanced with computer networks that are easy to connect and track. With the help of GPS and mobile networks, the movement of goods is monitored effectively. The products are observed till delivery through geo-coding enhanced with machine learning algorithms. The main challenges in smart logistics are delay in delivery, damage of products. This can be controlled by technologies such as Smart Logistics Configurator (SLC), automation, tele tracking technology, predictive analysis and automated vehicles. IoT sensors help in tracking the delivery with smart auto-routing. Sensors get the data about the products and the data can be used to track the shipment of the product with the help of machine learning algorithms. In food logistics, they capture the data and ensure the safety of the food and delivery. These IoT sensors provide information including the weather patterns, nature of the product, temperature, pick up from the supplier, route, etc to facilitate safer delivery by the delivery officials. Adopting a hybrid agent-based approach can also help the smart logistics of the organisation. These technologies help the companies to forecast the demand and to make operational decisions. Additionally, educating the workforce with modernised tools and technologies can also help in increasing the competence of the business. The coordination of different technologies makes the logistics of a company easier and smatter day by day. Undoubtedly, e-commerce and mobile commerce are the future of business. It is necessary to increase the technologies involved in logistics with improved systemisation, visibility and optimisation. This special issue titled “Smart Logistics Technologies for E-Business and Mobile Commerce” gives researchers a excellent platform to analyse various aspects of smart logistic techniques and methods in the areas of e-business and m-commerce. Topics of Interest include but not limited to: Intelligent business process management for smart logistics in businesses Real-time visibility of products for businesses using smart logistics Bridging operational gaps using computer algorithms in smart logistics Smart logistical analysis for better decision making in businesses Intuitive business intelligence for improving smart logistics Enterprise resource planning for smart logistics Customer relationship management for smart logistics in businesses Role of geo-coding in real-time product tracking in businesses Creation of neural layer smart logistical network for businesses Actionable insights to improve smart logistics in businesses Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Smart Logistics Technologies for E-Business and Mobile Commerce”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Important Dates Manuscript Submissions Due: April 18, 2022 First Round of Reviews Completed: June 20, 2022 Revised Manuscripts Due: August 22, 2022 Second Round of Reviews Completed: November 25, 2022 Final notification: December 28, 2022 Tentative Publication: the 3rd quarter of 2023 Guest Editors Dr. Muhammad Mohiuddin Laval University, Canada E-mail: mmohiuddin@ieee.org Dr. Samim Al Azad Laval University, Canada E-mail: md-samim-al.azad.1@ulaval.ca Dr. Abdullah Al Mamun UCSI University, Malaysia E-mail: AbdullahAM@ucsiuniversity.edu.my
Special Issue: Intelligent Techniques for Efficient Resource Management in IoT Networks
Theme and Scope The Internet of Things (IoT) has become exceptionally popular over the last few years with widespread applications. Unlike the other technologies, IoT continues to prove itself extremely valuable and inevitable across numerous sectors. As IoT adoption continues to develop, finding efficient IoT networks focusing on energy efficiency has become the emerging technological requirement. This is mainly because the new and evolving IoT applications can impose various constraints on sustainable IoT networks in terms of power resources and environmental conditions. Like smart devices, connectivity, and cloud analytics, network and device management is also an important part of the IoT architecture. In this special issue, we explore the importance of intelligent techniques in efficient IoT devices and network management, emphasizing the IoT value chain. The prime role of intelligent techniques in IoT network management is that it offers an intelligent way to automate tasks consistently increasing in complexity and frequency. As the IoT networks and the devices become more complex, they have specific needs, managing them with traditional computing facilities and limited power are extremely hard. Using intelligent techniques helps manage the IoT networks more robustly with integration towards the existing tools, basic automation, and improved quality of services. Intelligent techniques such as artificial intelligence, machine learning, and robotic process automation effectively meet the growing demands of the IoT ecosystem. It provides improved integrability and interoperability with energy efficiency measures. It further helps in five major considerations of IoT network and device management such as modular, platform-independent design, cross-vendor device compatibility, open architecture with powerful integration tools, built-in security, and intuitive and customizable IoT networks. This property ensures efficient management of the IoT devices and networks irrespective of the changing requirements. Furthermore, it simplifies the deployment and management of the downstream applications. It streamlines the network monitoring and troubleshooting and accelerates the time to market with reduced costs. This special issue seeks cutting-edge research submissions that address the problem of resource management in IoT networks. Specifically, we seek submissions that efficiently integrate intelligent techniques such as artificial intelligence and machine learning approaches that focus on energy efficiency and green IoT solutions. Empirical, conceptual, and practical research works in this background are most welcomed. The list of topics of interest include but are not limited to the following: Intelligent techniques for energy-efficient IoT network design Role of artificial intelligence in IoT network and device management Computational intelligence for managing the power consumption trends and smart management of devices across IoT networks AI for IoT traffic characterization and resource management Trends in fog/edge computing for intelligent IoT network management solutions Intelligent systems architectures for efficient IoT network management Addressing the IoT network challenges with computational intelligence techniques Machine learning assisted energy-aware green wireless communication networks for IoT Intelligent techniques for green and sustainable IoT networks AI driven power management for sensor nodes in IoT networks Intelligent techniques for improved quality of services across IoT networks AI for carbon-neutral smart networks management in IoT environment Secure interoperable IoT networks with artificial intelligence Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Intelligent Techniques for Efficient Resource Management in IoT Networks”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Important Dates Submissions due: 25th April 2022 15 June 2022 Preliminary notification: 29 July 2022 Revisions due: 15 October 2022 Final notification: 31 January 2023 Tentative Publication: the 2nd quarter of 2023 Guest Editors: Dr. Gai-Ge Wang (Lead Guest Editor) Department of Computer Science and Technology, Ocean University of China, China Emails: wgg@ouc.edu.cn; gaigewang@ieee.org Dr. Xiao-Zhi Gao School of Engineering Science, Lappeenranta University of Technology, Finland Emails: xiao.z.gao@gmail.com; xiao-zhi.gao@uef.fi Dr. Yan Pei Computer Science Division, The University of Aizu, Japan Email: peiyan@u-aizu.ac.jp
Special Issue: Selected Papers from International Conference on Innovative Computing, Intelligent Communication and Smart Electrical systems (ICSES -2021)
Special Issue on "Internet of Things (IoT) in sustainable electricity and smart energy systems" Theme and Scope Internet of things has proven to be a useful tool to efficiently monitor and regulate energy consumption for industry and households. The term “Smart Energy Systems” have been used to express an approach that reaches broader than the term “Smart grid”. Where Smart Grids focus primarily on the electricity sector, Smart Energy Systems take an integrated holistic focus on the inclusion of more sectors including electricity, heating, cooling, industry, buildings, transportation and allows for the identification of more achievable and affordable solutions to the transformation into future renewable and sustainable energy solutions. Sustainable development aims to meet the economic, social and environmental needs of today society without sacrificing future generations’ needs and development. Reducing the greenhouse gas emissions as well as air and water pollution from electricity generation is a key component of achieving sustainable electricity. Topics of interest for this Special Issue include, but are not limited to: IoT in efficient operation of smart substations using advanced metering infrastructure and advanced sensor infrastructure Cloud computing strategy for optimal management of smart energy systems Internet of things in time power system optimization with renewables, electric vehicles, etc. Internet of things in real time sustainable energy management system Internet of things for real-time communication in sustainable power and energy systems IoT in distribution network and renewable energy expansion planning considering demand side management IoT in smart security in power grid Internet-enabled infrastructures and services in sustainable electricity and smart energy systems IoT based architecture, implementations, and applications in sustainable electricity Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Internet of Things (IoT) in sustainable electricity and smart energy systems”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Important Dates Submission window opens: 26 September 2021 Submission deadline: 30 January 2022 Notification to authors: 30 March 2022 Revised versions due: 30 May 2022 Final decision: 30 July 2022 Tentative Publication: the second quarter of 2023 Guest Editors: Dr. Sheldon Williamson (Managing Guest Editor) Department of Electrical, Computer, and Software Engineering, University of Ontario Institute of Technology, Canada Email: sheldon.williamson@ieee.org Dr. Amit K. Gupta Rolls-Royce Electrical, Singapore Email : amit.gupta@rolls-royce.com
Special Issue: Cryptography for Secure Blockchain
Theme and Scope Cryptographic primitives gave rise to the concept of blockchain. Blockchain underpins various cryptocurrencies and non-centralized ledger-based transactional infrastructures, which have been deployed in applications such as finance, electronic health care, legal relations, IoT, information security, signature-based smart contracts and consensus building systems. There is a need of suitable cryptographic approaches to fulfill the existing gaps of blockchain technology. For example, fulfillment of a certain equilibrium-based consensus algorithm is undoubtably considered as a new and disruptive technology that will shape the future eCommerce. On one hand, security and trust are detrimental factors for the energy demanding Proof(s) of Work (consensus). On the other hand, maintaining Cyber resilience through NP-hard problems is a challenging task. State-of-the-art of the cryptographic techniques being deployed so far in the blockchain systems needs to be investigated as these techniques are fundamental building blocks to provide security to the blockchain. A thorough Systematization of Knowledge (SoK), that offers a complete bibliographic survey of the full crypto functionalities, tools, and interactions inside the blockchain, is imperative. There is an urgent need to realize and understand the security limitations, efficacy and performance of various types of blockchain-enabled protocols. Considering the above issues, there is a wide scope to improve the robustness of blockchain and hence utilize the blockchain for various applications. This special issue invites researchers to publish selected original manuscripts to address the above concerns. Special emphasis shall be offered on “private blockchains”, “energy consumption problem blockchain”, “security resilience of blockchain during mining operations”, “investing towards a greener blockchain”, and “secure blockchain-based applications”. Finally, we encourage envisioning applicability scenario(s) proposals for the ledger such as decentralizing NP-hard/complete computational problems in Genomics, Economics, and Quantum logic to name a few. We are also interested in review or survey articles that describe the state-of-the-art of this topic encompassing significant gaps/challenges in the research, major advancements, key findings, open problems, and future scope. Following are the suggested topics but are not limited to: Data decentralization of NP-hard problems (e.g. Fully-homomorphic computations and bootstrapping) Normalizing equilibrium for P=NP using the ledger Proof of retrievability schemes for blockchain Leveraging post quantum cryptography in blockchain Leveraging lightweight cryptography for blockchain-based Internet of Things Private information retrieval and searchable symmetric encryption over the cloud with blockchain Commitment schemes using blockchain Deploying blockchain for secret sharing of data Electronic voting using blockchain Authentication-based encryption using blockchain Post-Quantum true random number generators with ledger technologies True noise obfuscation for oblivious signaling communication channels with blockchain technologies Adopting identity-based cryptography in blockchain Data mining and machine learning techniques for blockchain Testbeds, simulations, Hyperledger infrastructure(s), etc., for testing blockchain Post-Quantum cryptanalysis of blockchain Post-Quantum cryptographic techniques for blockchain Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Cryptography for Secure Blockchain”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Important Dates: Deadline for submissions: 31 December 2021 31 January 2022 4 March 2022 First Notification: 31 March 2022 Deadline for revisions: 30 April 2022 Final Decision: 31 May 2022 Tentative Publication: the second quarter of 2023 Guest Editors Dr. Chien-Ming Chen Collage of Computer Science and Engineering, Shandong University of Science and Technology, China Email: chienmingchen@ieee.org Dr. Kuo-Hui Yeh Department Information Management, National Dong Hwa University, Taiwan Email: khyeh@gms.ndhu.edu.tw Dr. Lyes Khoukhi GREYC CNRS UMR lab, ENSICAEN, Normandie University, France Email: lyes.khoukhi@ensicaen.fr Dr. Chan Yeob Yeun Khalifa University, Abu Dhabi, UAE Email: chan.yeun@ku.ac.ae
Special Issue: Comparison of 5G and Emerging 6G Technology and Its Application to develop New Generation of Wireless Sensor Networks
Theme and Scope As the digital world becomes increasingly intelligent, automated and ubiquitous, the flow of data becomes ever more vital. Mobile wireless networks are the data highways, and in a fully connected, intelligent digital world, they will need to connect everything from people, vehicles, sensors, data, cloud resources and even robotic agents. Fifth generation (5G) wireless networks that are being released soon offer significant advances, but may be unable to meet the full connectivity demands of emerging systems.5G technologies have always been associated with trade-offs which involve latency, power consumption, deployment costs, hardware complexity, experienced throughput, end-to-end reliability, and communication resilience. Of course, AI is predicted to play a big part in any new standard and one way may be that it allows us to specify even less of what is happening, and just let individual intelligent machines fill in the gaps in our standard. The idea of auto tuning the modem in the field is a new one that may well play an important role in 6G. It would be expected that AI would be fully integrated into an intelligent network system in time for 6G that is called “distributed intelligent wireless computing”, so that the 6G network may also be defined with an expectation of deep learning. On the contrary, the market demands of 2030 and beyond will introduce new applications, with more stringent requirements (in terms of ultrahigh reliability, capacity, energy efficiency, and low latency) which may saturate the capacity of traditional technologies for wireless systems. 6G will contribute to fill this gap. This special issue envisions and emphasizes on this point that how 6G systems can be developed to address the needs of smart networks of the future. Several potential 6G use cases and attempts to provide estimates on requirements to guide design. The demands are daunting, but several promising technologies that can provide the basis for 6G systems are also surveyed. On the Other hand, many of the cellular devices connected nowadays are machines (IoT) rather than people, with the rise of Smart Homes, Smart Building and Smart Cities, so 5G and 6G will include increased demands for machine-to-machine communications, including robotic and autonomous drone delivery and transport systems. The Internet-of-Everything (IoE) is a related development. Other trends predicted for 6G include Ultra-dense cell networks, Reconfigurable Hardware, Millimeter Waves for user access, enhanced Optical-Wireless interface, Networked VLC, Intelligent Networking and technologies to enable Full Immersive Experience for users. One thing we can be confident on is that users will demand and expect greater global coverage, higher capacities and always-on connectivity for new and future internet services and applications, and that 6G will be expected to deliver all of these. One factor in the drive towards 6G is the growing trend of Software Defined Radio (SDR) and Software Defined Networking (SDN): These mean that future 6G technologies will be easier to upgrade to, with cloud-based resources and software loads enabling upgrade of existing 4G and future 5G equipment to enable 6G applications. This reduces the expensive and disruptive “fork lift” upgrades of previous mobile standards, which generally entail replacement of physical infrastructure. Inter-vendor operability is also an increasing trend, with democratization fueled through open-source development of technologies. This special issue has focused on A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems and is not limited to these topics mentioned above and it can be found more research areas in this domain lf technology for all researchers and scientists who work and do research extensively in these professional fields. All authors and scientists are welcomed and acknowledged to send their working papers, ideas and their solutions and new designed platforms to be reviewed and probably published in this special issue of IEEE sensors journal with high quality format of presentation, structure and expressing goals based on clarity of subject and explanation of its details. List of Topics multiple-sensor systems Smart sensor systems Sensor arrays Combined sensors (such as electrical & mechanical, etc.) Packaging and interconnection Sensor buses and communications networked sensor fusion and decisions Sensor telemetry and monitoring acoustic velocity sensors , proximity sensors Wireless Sensor and Actor Networks, Ad hoc and Opportunistic Networks, Vehicular Networks Internet of everything (IOE) IOT (Internet of things) Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Comparison of 5G and Emerging 6G Technology and Its Application to develop New Generation of Wireless Sensor Networks”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Important Dates Manuscripts Submission Deadline: March 22, 2022 First Notification: May 22, 2022 Revised Papers Submission: July 22, 2022 Final Acceptance: September 22, 2022 Tentative Publication: the second quarter of 2023 Guest Editors Dr. Osamah Ibrahim Khalaf Engineering and Telecommunications, Al-Nahrain University, Iraq usama.ibrahem@coie-nahrain.edu.iq; usama81818@gmail.com Dr. Kingsley A. Ogudo Electrical and Electronics Engineering, University of Johannesburg, South Africa kingsleyo@uj.ac.za Dr. Jesus Hamilton Ortiz Closemobile R&D, Spain jesushamilton.ortiz@gmail.com
Special Issue: Securing 5G and Beyond Networks with Physical Layer Security
Theme and Scope Telecommunication networks are growing tremendously around the globe. To meet the increasing communication needs, 5G and beyond networks have evolved. The features of 5G and beyond networks provide immense opportunities to create intelligent and seamless fast communication services. Beyond their healthy potentials, they suffer from security issues as well. Providing resilient security services is given the highest priority while the design of these modern networks. Some of the security issues that are possible in 5G and beyond networks are eavesdropping, unauthorized access, and demolishing integrity. A few of the open security challenges in 5G and beyond networks are lightweight security, scalability, low latency, and reliability. Traditional techniques such as cryptography can be used to provide security services. But there are few issues in cryptographic methods. First, the crypto functions require complex signal processing. Second, the centralized key distribution leads to increased delay. Thus, the cryptographic methods cause communication overhead. Instead, the physical layer security utilizes the properties of the transmission channel and acquires security. The prominent advantage of physical layer security in 5G and beyond networks is the avoidance of centralized key distribution. Thus, it avoids the additional latency caused by key usage and serves with less complexity. A few of the performance metrics that are used to evaluate the efficiency of physical layer security are perfect secrecy, weak secrecy, strong secrecy, secrecy capacity, secrecy outage probability, security gap, reliability threshold, and rate interval. To tackle eavesdropping, transmission signal heterogeneity can be exploited. Much of the physical layer security is based on random-coding arguments. This code construction is an emerging research topic. The most prominent codes that are constructed to achieve physical layer security are LDPC codes, polar codes, and lattice codes. In the future, to improvise physical layer security of 5G and beyond networks, the researchers could give much attention to wiretap coding, feedback policies design, and channel state information. Open research opportunities still exist in physical layer security threats such as signal cancellation attacks, unmanned aerial vehicle communication, millimeter-wave communication, full-duplex technology, synthesis of 5G characteristics, and visible light channel. This issue on Securing 5G and Beyond Networks with Physical Layer Security, gives an insight into the advantages of physical layer security in 5G, Beyond Networks, and delivers the future research directions for scientists and academicians. List of Topics (include, but not limited to the following): Evolution of lightweight security mechanisms to secure 5G and beyond networks: Solutions and challenges Securing 5G and beyond networks communication in physical layer perspective Advances in physical layer security to promote secure communications in 5G and beyond networks Enabling blockchain technology integrated 5G and beyond networks to deliver intelligent security services Impact of the public key cryptography-based authentication scheme in physical layer security for 5G and beyond networks Role of physical layer authentication mechanisms to prevent active and passive eavesdropping in 5G and beyond networks Emerging trends on safeguarding 5G and beyond networks uplink and downlink using physical-layer security: A global perspective Intelligent solutions to facilitate security using random-coding arguments and polarization in 5G and beyond networks Innovations in the tackling signal cancellation attack to secure 5G and beyond networks: Opportunities and challenges Emerging trends to ensure physical layer secrecy in heterogeneous applications of 5G and beyond networks Advances in secure communications in 5G and beyond networks using physical-layer security: Technology, practices, and future directions Emerging techniques to solve physical layer security threats for the betterment of 5G and beyond networks Advances in optimization-based physical layer security approach to secure wired and wireless applications of 5G and beyond networks Advances in addressing the challenges in safeguarding 5G and beyond networks using physical layer security Advances in performance of LDPC and polar codes for ensuring security in 5G and beyond networks Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Securing 5G and Beyond Networks with Physical Layer Security”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Important Dates Manuscript Submissions Deadline: April 15, 2022 Notification to Authors: July 5, 2022 Deadline for revision submissions: October 10, 2022 Notification of final decisions: December 30, 2022 Tentative Publication: the second quarter of 2023 Guest Editors Dr. Ahmed A. Abd El-Latif Department of Mathematics and Computer Science, Menoufia University, Egypt alatif@science.menofia.edu.eg Dr. Edmond Shu-lim Ho Department of Computer and Information Sciences, Northumbria University, United Kingdom e.ho@northumbria.ac.uk Dr. Jialiang Peng School of Data Science and Technology, Heilongjiang University, China jialiangpeng@hlju.edu.cn
Special Issue: Deep Intelligence for Social Media Analytics
Theme and Scope Social Media has become a unique source of information for various activities such as finding solutions for queries, exploring the opportunities for socio-economic information sharing and thus being a critical part of the information environment providing an extraordinary outreach to all kind of the public users. It is projected that social media will continue to enable new fascinating applications and revolutionize many existing ones, provided with the continuing interest and meta-information which is ever growing, generated through it. Recent advancements in Deep Intelligence enabled the Social Media Analytics to perform the sampling of data from multimodal spatial environment to provide the good characterization of big data. This need for social media analytics emerged due to the defining characteristics of Web 2.0 which provides content generation and information dissemination in the social media in huge volumes due to the technological platforms of Internet and Mobile Technologies. From the application point of view, significant research interests have been evolved on social media due to its challenges and opportunities in the past few years and thus it has become a multidisciplinary in nature. Hence the focus of this social media research turned up towards social media analytics and intelligence. The development and evaluation of informatics tools and frameworks to collect, observe, analyze, review, and visualize social media data, generated from a target application is the major focus of social media analytics. The objective of social media analytics study is to: promoting conversations and interaction amongst online communities and extracting meaningful patterns and intelligence to assist entities in the live conversation. The goal of social media intelligence is to extract actionable data from social media with developing decision-making frameworks and providing design and solution architectural frameworks for emerging applications in the web. Despite growing interest from corporations and other communities, research towards social media intelligence found to be in early stage only. In the research perspective, collaborative discussions were carried out on the various dimensions in the concepts of social media intelligence, its major technical challenges and the implementation tools, still there is lack of research in systematic way and proven results. Since much of social media intelligence research is undertaken in application contexts with the goal of supporting decisions, it necessitates well-articulated and well defined performance parameters. However, quantifying these indicators in a wide range of situations where social media intelligence could be useful is difficult. Hence there is a rich demand of research interests in addressing dynamic decision making, solving uncertainty problems and optimized modelling. Also, the researchers likely need to put their efforts to develop novel computational frameworks and implementation strategies, extracting relevant data streams with ranking and scores based on user input and conversations thus enhancing the quality measures. The aim of this special issue is to model the state of the art in social media intelligence with analytical research that directly encompasses the Artificial Intelligence methodologies to extract user dialogues and analyse with concrete decision making strategies. Original research and review articles in this area are encouraged in the following topic areas including, but are not limited to: Semantic Social Media Analytics - Stream based view Human centred computing for social interactions among users Social media intelligence – Key issues and challenges in data driven approaches Technical and Social challenges and opportunities in Social media Intelligence – Application Perspective Deriving actionable information from social media – Tools and Frameworks Quantifying performance measures in Social media Intelligence Future event Prediction by social media analytics Human behaviour prediction in social networks – Deep Learning approaches Social Network Analysis – Survey on methodologies Pattern extraction from user conversation – Deep Learning Applications Frameworks for dynamic decision making in social media intelligence Modeling frameworks in social media – Latent feature learning Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Deep Intelligence for Social Media Analytics”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Important Dates Paper Submission Deadline: 14 February 2022 April 20, 2022 Author Notification: 25 April 2022 Revised Papers Submission: 30 June 2022 Final Acceptance: 04 September 2022 Tentative Publication: The 1st quarter of 2023 Guest Editors Dr. Muhammad Attique Khan [Leading Guest Editor] Computer Science Department, HITEC University, Pakistan Email: attique.khan@hitecuni.edu.pk, attique.khan@ieee.org Dr. Seifedine Kadry Department of Applied Data Science, Noroff University College, Norway Email: seifedine.kadry@noroff.no Dr. Gaurav Dhiman Department of Computer Science, Government Bikram College of Commerce, India Email: gaurav.dhiman@thapar.edu Dr. Imran Razzak School of Info Technology, Deakin University, Australia Email: imran.razzak@deakin.edu.au
Special Issue: Selected papers from 2021 the 4th International Conference on Intelligent Autonomous System- Hybrid fuzzy systems for mobile robots and their applications
Theme and Scope Mobile robots have become more common in commercial and industrial settings. Mobile robots have many potential applications in routine or dangerous tasks such as delivery of supplies in hospitals, cleaning of offices, and operations in a nuclear plant. Operator interface, Mobility or locomotion, Manipulators & Effectors, Programming, Sensing & Perception are the five primary Areas of Robotics. Articulated, SCARA, Delta & Cartesian Robots form the major classification in robotics. The use of robots has more than doubled in the last 20 years in most advanced economies. The top users of industrial robots in 2017 were China, Japan and South Korea, using nearly 50% of the world's stock of robots. Regarding industries, the highest usage of industrial robots in 2017 belonged to the automotive industry, which employed about 42% of all robots followed by the electrical and electronics industry at 28% approx. Onto the downsides of robots, they need oodles of electricity to run which lead to additional issues with global warming and greenhouse gas emissions. They rely on clever humans to program them for specific tasks. And, though artificial intelligence and machine learning are coming on fast, this is a limiting factor in what Robots can do. One of the fundamental and critical research areas in mobile robotics is navigation, which generally includes local navigation and global navigation. Local navigation learns or plans the local paths using the current sensory inputs without prior complete knowledge of the environment, whereas Global navigation learns or plans the global paths based on a relatively abstract and complete knowledge about the environment. Hybrid learning algorithms for fuzzy neural network (FNN) systems, which combine back-propagating learning and the genetic algorithms, are a good alternative for solving complex problems. Hybrid control architecture, which combines the advantage of both the local and global optimization, and it has received considerable attention in the research area of mobile robotics. Although hybrid control is mostly adopted for robot navigation, the practical design and its performance, Behaviour design of robots, selection of learning and control algorithms for robot navigation systems are the major challenges in research areas. The topics of interest for this Special Issue include, but are not limited to: Hybrid approach for autonomous robot navigation system Hybrid fuzzy controller for real time mobile robot navigation Fuzzy logic controller for intelligent robots Application of fuzzy logic and image processing for mobile robot assistance Hybrid fuzzy based collision avoidance for a mobile robot Hybrid fuzzy systems for development of a re engagement system for socially interactive robots Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Hybrid fuzzy systems for mobile robots and their applications”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Important Dates Submission deadline: 30 March 2022 First notification: 30 May 2022 Submission of revised manuscript: 15 July 2022 Notification of the re-review: 30 September 2022 Final notification: 30 December 2022 Tentative Publication: The 1st quarter of 2023 Guest Editors Dr. Er. Meng Joo Former Professor, Nanyang Technological University, Singapore Visiting Professor of Dalian Maritime University, China and Bharath University, India Email: mjer@bharathuniv.ac.in Dr. Zhaojie Ju Machine Learning and Robotics, School of Computing, University of Portsmouth, UK Email: Zhaojie.Ju@port.ac.uk
Special Issue: 6G-Enabled Internet of Things: Emerging Research Advances, Prospects, and Challenges
Theme and Scope In this special issue, we will explore the future of 6G networks and how it influences the Internet of Things (IoT) applications that are already creating a revolution in this digital era. Followed by 5G technology, it is expected that 6G networks will significantly redefine the IoT devices and network infrastructures by enabling much faster connectivity and network services. This special issue explores emerging research advances of 6G networks for IoT technologies, their prospects, and challenges in a detailed manner. For the past few decades, IoT applications have witnessed tremendous growth, and they will continue to grow more in the coming years. Right from fitness watch to wearable health monitor, everything has got a nascent form with IoT evolution. While 6G holds the supremacy that makes more robust IoT services a reality. 6G provides faster speed and broader wave bands that form the backbone for developing the internet of smart devices. Experts believe that the 6G will become the most prominent part of the IoT networks in the next five years. Currently, IoT devices are operated via smart gadgets and smart screens. With 6G, human interaction with IoT devices will transfer from smart screens to our senses (the devices will be controlled through our body or mind). This will typically lead to the new research path called the Internet of Senses and the Internet of Reality. Through 6G innovations, IoT will experience several long-term technological translations across various sectors such as smart health, smart homes, smart mobility, smart cities, etc. 6G is obviously better in this respect and could even replace several drawbacks of the existing IoT networks. But the most significant benefits of adopting 6G-enabled IoT systems include security, privacy, complexity, and sovereignty. It is well known that IoT networks are more prone to security threats, and IoT devices can be easily hacked sometimes. How did the 6G network assure security measures across emerging IoT applications? If every user establishes an embedded network, what kind of privacy exists for the users? What sort of network configurations can be used to reduce network complexity? What kind of global standards should 6G networks possess to restrain the complete potential of IoT devices? Addressing these research questions makes 6G an appropriate solution for future IoT devices and applications. However, real-time research on 6G-enabled IoT still has a long way to go and needs greater attention. The following topics are welcome but not restricted to: - Energy efficient IoT services with 6G networks - Advances in 6G based networking technologies - 6G enabled IoT networks: Trends, challenges and future research directions - 6G assisted emerging technologies and its applications in the context of IoT - Role of 6G in Internet of Reality - Internet of Senses with 6G paradigms - 6G assisted secure solutions for 6G networks - 6G assisted novel network architectures and frameworks for IoT systems - Advanced 6G network configuration standards and protocols for IoT - Harnessing the complete potential of IoT applications with 6G paradigms - 6G in the aspect of Internet of Everything - Edge assisted 6G solutions for IoT systems - Security, privacy, and trust based solutions for 6G enabled IoT networks Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “6G-Enabled Internet of Things: Emerging Research Advances, Prospects, and Challenges”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Important Dates Manuscripts Submission Deadline: January 15, 2022 Notifications of Revision/ Rejection/ Acceptance: March 30, 2022 Submission of Revised Papers: May 25, 2022 Final Acceptance: July 28, 2022 Tentative Publication: The 4th quarter of 2022 Guest Editors: Dr. K. Shankar Department of Computer Applications, Alagappa University, India E-mail: shankarkpdf@alagappauniversity.ac.in Dr. Gyanendra Prasad Joshi Department of Computer Science and Engineering, Sejong University, South Korea E-mail: joshi@sejong.ac.kr Dr. Bassam A. Y. Alqaralleh Department of Computer Science, Al-Hussein Bin Talal University, Jordan E-mail: alqaralleh@ahu.edu.jo
Special Issue: Selected Papers from EAI Chinacom 2021 - 16th EAI International Conference on Communications and Networking in China
Secial Issue on Intelligent based Image and Vision Computing for Future Video Surveillance Theme and Scope The video surveillance applications require massive devices with real-time computation for monitoring, recognition, analysis, and mining, leading to tremendous opportunities for the smart city and community. This challenge has brought several issues for developing intelligent methods for large scale and sustainable video data. Recently, intelligent methods have been investigated to cope with future video surveillance, that integrate a variety of technologies, including machine learning (especially deep learning), artificial intelligence, computer vision, Internet of Things, sensors, etc., to achieve video surveillance. They have shown their great potentials in real-time monitoring, intelligent processing, understanding and efficient storage of video and multimedia data. We expected that the efficiency, accuracy, predictive value, and benefits of intelligence method will greatly improve in the years to come. Thus, the future video surveillance systems should include hardware, computational models, databases, and software that optimize the acquisition, transmission, processing, storage, retrieval, analysis, and interpretation of vast volumes of image and vision data. This special issue will provide the image/video community with a forum to present new academic research and industrial development in future video surveillance. Topics of interest include, but are not limited to: QoS/QoE provisioning for video surveillance self-supervised smart video surveillance multi-intelligent and robust communications with video surveillance smart video-based modeling and optimization smart multimedia networking with video surveillance Incentive for smart video surveillance system Network analytics with smart video surveillance Video-based Intelligent medical treatment and emergency care Important Dates Submission window opens: November 25, 2021 Manuscript submission deadline: March 20, 2022 Notification of acceptance: April 25, 2022 Submission of final revised paper: May 25, 2022 Publication of special issue (tentative): November 30, 2022 Submission Procedure Papers will be evaluated on their merits, contribution to the service/cloud computing field, suitability to the special issue, and overall quality. All papers will be rigorously referred by 3-5 reviewers. Submission of a manuscript to this special issue implies that no similar paper is already accepted or will be submitted to any other conference or journal. Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Chinacom 2021”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Guest Editors: Prof. Xiaoxian Yang Shanghai Polytechnic University, China E-mail: xxyang@sspu.edu.cn Prof. Jung Yoon Kim Gachon University, South Korea E-mail: kjyoon@gachon.ac.kr Prof. Walayat Hussain University of Technology Sydney, Australia E-mail: Walayat.Hussain@uts.edu.au Prof. Honghao Gao Shanghai University, China E-mail: gaohonghao@shu.edu.cn
Special Issue: Current Trends, Challenges, and New Enablers of E-Commerce Applications
Theme and Scope In the current scenario, E-commerce is one of the fastest-growing industries in an emerging economy. As the internet has become an integral part of our lives, it links billions of devices worldwide for various purposes including online marketing, banking, trading, and other types of online communication. Usually, larger enterprises can reach customers easily through their web portals and applications, but the new business enablers face difficulties to create websites because of high start-up costs and other process issues. In this context, E-commerce helps new business enablers in many ways, including global reach, low barriers to sell, product tracking, increased business revenue, and automated product delivery solutions with lesser operational cost. One of the significant advantages of E-commerce is that users can access the website anytime and anywhere with quick and immediate customer support. Currently, advanced techniques like voice search, snap and shop, subscription-based models, and chatbots assisted applications, enhance the search the experiences in E-commerce platforms. With the latest E-commerce advancements, estimates and reports show that new business enablers will achieve their goal more effectively than other modes of operation. E-commerce possesses numerous challenges in terms of technology, trust-building, Omni-channel shopping experience, retaining customers, and some security-related issues. E-commerce has its impact on productivity and inflation through increased competition, cost savings and changes in seller’s pricing behavior, and so on. Additionally, security is one of the concerns in E-commerce platforms because information like card details and personal information are stolen in some cases. To overcome these security-related issues, technological improvements like cloud computing develops very high-tech and protected path for data management. Cloud computing provides secure solutions and benefits E-commerce in many aspects like, scalability, flexibility, and high searching speed. Furthermore, E-commerce data analysis based on big data and artificial intelligence helps personalized product recommendations to users without intermediaries. Moreover, machine learning (ML) and Artificial Intelligence (AI) assist E-commerce business to become customer-centric and encourages new enablers to use online social networks for business enlargement. With the current situation, E-commerce websites have reached unprecedented growth due to social distancing practices and other preventive strategies. It triggers changes in online shopping behavior that is likely to have long-lasting effects. Thus, E-commerce with enhanced technological features overcomes challenges, and improves the growth of various businesses. This special issue on E-commerce applications deals with rapid expanding of knowledge related to new enablers, current challenges, and opportunities. Topics of Interest: (Contributions are sought in (but are not limited to) the following topics) Current ubiquitous technologies in E-commerce Challenges and issues of E-commerce for new business enablers Effective Social media E-commerce for businesses enablers Cognitive supply chain management of E-commerce Internet and Intranet based collaborators for E-commerce Virtual and augmented reality for online shopping Security, privacy and effectiveness of E-commerce Policy Innovative E-commerce implications for future market structure Electronic Data Interchange (EDI) and E-commerce for business automation Ethics and competitive strategies of E-commerce market and marketplaces The future E-commerce and Business-to-Consumer (B2C) relations Trust management systems and reputation design principles of E-commerce The role of digital service for economic growth in emerging companies E-commerce and data mining for business improvements Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Current Trends, Challenges, and New Enablers of E-Commerce Applications”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Important dates Manuscript Submission Deadline: January 25, 2022 March 25, 2022 First Decision: March 28, 2022 Revised Manuscript Due: May 22, 2022 Notification of Acceptance/Rejection: July 30, 2022 Tentative Publication Date: The 4th quarter of 2022 Guest Editors: Dr. Keping Yu (Lead Guest Editor) Graduate School of Global Information and Telecommunication Studies, Waseda University, Japan E-mail: keping.yu@ieee.org Dr. Wei Wang School of Intelligent Systems Engineering, Sun Yat-sen University, China E-mail: ehomewang@ieee.org Dr. Moayad Aloqaily xAnalytics Inc., Ottawa, Canada E-mail: moayad@gnowit.com Dr. Muhammad Tariq National University of Computer and Emerging Sciences, Pakistan E-mail: mtariq@princeton.edu
Special Issue: Selected Papers from “7th International Conference on Applied System Innovation 2021 (ICASI 2021)”
Theme and Scope So far, the novel coronavirus pneumonia has been raging around the world for more than a year. The epidemic (COVID-19) has already spread, not only changing human behavior, but also significant changes in the operation of the enterprise. However, in the post epidemic era, there are many emerging applications and business opportunities, including zero contact economy, zero border manufacturing, zero distance innovation, zero burden health, zero pollution ecology, etc. Therefore, Taiwan should make advanced deployment, such as the layout of epidemic prevention technology, strengthening the value of wisdom, the transformation and upgrading of science and technology service industry, and enhancing the industry ecology. Novel coronavirus pneumonia is a major threat to the industry in 2020. Manufacturing industry has adopted digital technology to cope with the global COVID-19 epidemic crisis, especially artificial intelligence (AI), internet of things (IoT), edge computing and analytical technology. This special issue will provide a systematic overview and state-of-the-art research in Internet Technology, Computing, IoT and Computer Engineering Technology, with a special focus on artificial intelligence (AI), internet of things (IoT), edge computing and Blockchain technologies, and will outline new developments in fundamental, approaches, methodologies, software systems, and applications in these areas. Submissions should consist of novel ideas, original results, theoretical and applied research in following topics, but not limited to: Broadband Networks Wireless Communication Telecommunication Networks Transportation Networks UAV-assisted Networks Quantum Internet Network Management Network Behavior Modeling Security for Networks and Systems Multimedia systems Electronic service systems (Internet, Intranet, Extranet, E-Commerce, E-Business, E-Learning) Cloud Computing / Fog Computing / Edge Computing Internet of Things (IoT) and Internet of Everything (IoX) Artificial Intelligence (AI) for Networking and Service (E-Commerce, E-Business, E-Learning) Innovative Applications of Network Technologies Underlying technologies associated with big data, IoT and Blockchain Any other related topics Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “7th International Conference on Applied System Innovation 2021 (ICASI 2021)”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Important dates Manuscript Submission Deadline: October 31, 2021 Notification of Acceptance/Rejection/Revision: November 30, 2021 Revise Manuscript Due: December 31, 2021 Final Manuscript Due: January 31, 2022 Tentative Publication Date: The 2nd quarter of 2022 Guest Editors Prof. Liang-Wen Ji National Formosa University, Taiwan Email: lwji@gs.nfu.edu.tw Prof. Kin-Tak Lam Fujian University of Technology, China Email: artde.lam@qq.com Prof. Sheng-Joue Young National United University, Taiwan Email: youngsj@nuu.edu.tw Prof. Siu-Tsen Shen National Formosa University, Taiwan Email: shen31@hotmail.com
Special Issue: Dependability and Quality Assurance of Internet-based Systems and Software
Selected Papers from the following conferences: QRS 2021: The 21st IEEE International Conference on Software Quality, Reliability, and Security (https://qrs21.techconf.org) DSA 2021: The 8th IEEE International Conference on Dependable Systems and Their Applications (https://dsa21.techconf.org) ISSSR 2021: The 7th IEEE International Symposium on System and Software Reliability (https://isssr21.techconf.org) Theme and Scope This special issue includes multiple sections in several issues of JIT. The main focus is on dependability and quality assurance of Internet-based systems and software. The former includes security, safety, reliability, etc. and the latter focuses on testing, validation, and verification. System and software dependability are commonly defined as the probability of failure-free operation for a given period of time in a specified environment. With software being increasingly ubiquitous in our everyday lives and playing an indispensable role in the function of our society, it has changed the way we live and conduct business. This is especially the case when considering the exponential demand and growth of software-enabled systems. The overwhelming consequences of their failures have made issues of ensuring their dependability and quality more important than ever. Unfortunately, traditional techniques and tool support are insufficient to overcome the challenges posed by the complexity of Internet-based systems, the dynamic nature of the environments in which they operate, and drive for continuous deployment of new functionality. New techniques that can overcome the shortcomings of existing approaches are needed to addresses all of these factors. Questions such as the following should be addressed: How to effectively and efficiently achieve high dependability and quality of Internet-based systems and software, which may suffer from the challenges of dynamic environments and need for extreme scalability? Do systems and software with higher dependability requirements need to be more complex than those with less stringent requirements or are architectural patterns and other techniques capable of mitigating complexity? Does the former have to be more expensive to produce and maintain than the latter? What are the most innovative techniques and tools to reduce the cost of these systems and software? While this special issue provides a venue for authors of top-quality papers accepted by QRS 2021, DSA 2021, and ISSSR 2021 to submit their extended articles, it also has an open call to the research community. Our objective is to (i) provide a summary of research that advances dependability and quality assurance of Internet-based systems and software, and (ii) serve as a collection of current state-of-the-art technologies within this content. Topics of interest include, but are not limited to, those related to dependability and quality assurance of Internet-based systems and software: Requirements, architecture, design, data-driven, deep-learning, and AI-based analysis and optimization Modeling, simulation, predication, and measurement Formalization, verification, and testing Fault tolerance and diagnosis, and redundancy technology Process improvement and maintenance Prognosis and health management Quality and reliability Security, privacy, dependability, and safety Theories and algorithms Networking and communication Empirical studies, benchmarking, and industrial best practices Applications, tools, and automation Instructions for Manuscripts Each paper must be written in English with the maximum number of words in each paper below 8,000 including references and illustrations. More information can be found at http://jit.ndhu.edu.tw. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for the Special Issue on “QRS 2021"; "DSA 2021"; "ISSSR 2021”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Important dates QRS 2021 Submission Window Opens: February 15- February 16, 2022 DSA 2021 Submission Window Opens: October 4-October 5, 2021 ISSSR 2021 Submission Window Opens: December 1-December 2, 2021 First Round of Notification: One month after submission Revised Paper Submission: Three weeks after the first round of submission Final Notification: One month after resubmission Tentative Publication Date: The 2nd or 3rd quarter of 2022 Guest Editors Professor W. Eric Wong Department of Computer Science University of Texas at Dallas, USA E-mail: ewong2006@gmail.com Professor William Chu Dept. of Computer Science Tunghai University, Taiwan E-mail: cchu@thu.edu.tw Professor Lance Fiondella Department of Electrical & Computer Engineering University of Massachusetts Dartmouth, USA E-mail: lfiondella@umassd.edu
Special Issue: Current Trends and the Future of Internet of Things (IOT) in Industry and Enterprise
Theme and Scope Industrial and Enterprise Internet of Things (IoT) is the latest technical development that makes possible physical things in embedded computing equipment (small computers) for manual job reduction and business productivity overall. IoT's business processes can be made simple by taking advantage of different technologies from embedded systems with sensors and actuators to Internet based cloud networking services, based on unique knowledge generated from embedded devices, such as computers, vehicles as well as another device. Industrial and Enterprise Internet of Things is an innovative new technology that makes it possible for previously unrelated physical objects to connect to the internet. Further, applications designed for enterprise services and business process control can be model / updated with the ubiquitous feature of IoT. The fundamental element of enterprise services is the information/data exchange between different IoT and business processes. The Industrial and Enterprise Internet of Things (I&EIoT) facilitates various business solutions and enterprise services through data handling and analysis for fast consumer responses. Services orchestration, decision-making, recommendation, planning control, and reliability management are the inherited services provided by I&EIoT in business processes. All these business processes rely on data/information generated inside and acquired from the connected environment. IoT solutions for enterprises require better adaption to the dynamic and decentralized business processes. Industrial and Enterprise Internet of Things improves the processes' overall efficiency, facilitates innovative business models, optimizes human operations, streamlines automation, and manages data/services resources with intelligent processing and infrastructure support. The Industrial and Enterprise Internet of Things relates to linked sensors, instrumentation, and other equipment, networked in combination with industrial computer applications, including energy storage and manufacturing. The I&EIoT is developing a DCS (distributed control system) that enables a higher level of automation through cloud computing to refine and optimize process controls. The I&EIoT provides information gathering, sharing, and assessment and can promote improved productivity, performance, and other economic benefits. This call for proposal much focused on describing I&EIoT and analyses the partial IoT-taxonomies associated with it. Further, it develops a research process for I&EIoT, which can be used when researching system configurations and analyzing security risks and vulnerabilities to enumerate and characterize I&EIoT products. This special issue on "Current Trends and The Future of Internet of Things (Iot) In Industry and Enterprise" invites novel ideas from research persons, academicians, and industry professionals for sharing their novel ideas on Industrial and Enterprise Internet of Things (IoT). The topics of interest for the special issue: Collaborative design of I&EIoT service platforms for enterprise planning The role of I&EIoT in Enterprise planning and management Challenges, solutions, and recommendations for service utilization through I&EIoT Business process and planning control for smart industries using I&EIoT Ubiquitous and decentralized platform design for enterprise production enhancement Orchestrated infrastructure design and decision-making systems using I&EIoT Innovative business solutions for enterprise planning and service management using I&EIoT paradigms Data management techniques for functional levels of enterprise planning using I&EIoT Optimization algorithms/methods for I&EIoT based resource planning Integrated process control using I&EIoT for business development models Analysis and replacement solutions for complex data management using I&EIoT Environments Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Current Trends and The Future of Internet of Things (Iot) In Industry and Enterprise”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines Important Dates Submission Deadline: 31.12.2021 First Review Decision: 28.02.2022 Revision Due: 31.03.2022 Final Decision: 30.04.2022 Tentative Publication: the 4th quarter in 2022 Guest Editors: Dr. Vicente Garcia Diaz (Lead Guest Editor) University of Oviedo, Spain E-mail: garciavicente@ieee.org Dr. Jerry Chun-Wei Lin Western Norway University of Applied Sciences, Norway E-mail: jerrylin@ieee.org Dr. Juan Antonio Morente Molinera PDI, University of Granada, Spain E-mail: jamoren@decsai.ugr.es
Special Issue: Intelligent Methods for Internet of Things
Selected Papers from ICEA 2020: 2020 International Conference on Intelligent Computing and its Emerging Applications Theme and Scope Several successful applications have witnessed the unlimited possibilities of artificial intelligence (AI) in recent years. Although most companies are still at the development stage of applying AI technologies to their products, most people know that no one can resist the tendency toward AI technologies. Another promising research topic is the internet of things (IoT). Since the basic idea of IoT is to connect all the things to internet so that all the electronic equipments and appliances can then be controlled by a smart information system. It is also not hard to imagine that modern information systems make it possible for all the equipments and appliances providing us all the services we need. AI and IoT play the role of providing us applications that we need and are useful today. These two technologies are also referred to as the artificial intelligence of things (AIoT) where AI and IoT can be regarded as the software and hardware parts of such new information systems. This explains why the integration of these two technologies should be discussed, analyzed, and modeled to provide better services to us. As we know, several smart and/or intelligent methods, analytical systems, as well as security and privacy technologies have attracted the attention of researchers from a variety of disciplines. How to develop an efficient or effective method or hardware has become a promising research direction in recent years. The focus of this special issue is on all the latest technologies related to AI, IoT, and relevant technologies for the systems of IoT or AIoT. Original submissions, not under any concurrent reviews, are solicited in all areas related to AI, IoT, data analytics, and security. Authors are encouraged to submit both theoretical and practical articles to this special issue. The topics include, but not limited to, the following: The thematic background for this special issue includes but are not confined to the following: Artificial intelligence for internet of things Data analytics technologies for internet of things Security or privacy technologies for internet of things Network modeling and framework Cloud computing technologies for IoT Applications of IoT and AIoT Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Intelligent Methods for Internet of Things”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines Important dates Manuscript Submission Deadline: July 31, 2021 August 31, 2021 Notification of Acceptance/Rejection/Revision: September 30, 2021 Revised Manuscript Due: November 30, 2021 Final Manuscript Due: January 22, 2022 Tentative Publication Date: the 2nd or 3rd Quarter in 2022 Guest Editors Dr. Hsin-Te Wu (Lead Guest Editor) Department of Computer Science and Information Engineering, National Ilan University, Taiwan E-mail: hsinte@niu.edu.tw Dr. Hsin-Hung Cho Department of Computer Science and Information Engineering, National Ilan University, Taiwan E-mail: hhcho@niu.edu.tw Dr. Chun-Wei Tsai Department of Computer Science and Engineering, National Sun Yat-sen University, Taiwan E-mail: cwtsai@mail.cse.nsysu.edu.tw Dr. Ming-Chao Chiang Department of Computer Science and Engineering, National Sun Yat-sen University, Taiwan E-mail: mcchiang@mail.cse.nsysu.edu.tw
Special Issue: Digital Library Education and Digital Literacy from a Post COVID-19 Perspective
Theme and Scope Recent advances in computer technologies have made digital literacy a powerful tool for contemporary modern education, especially from the post-COVID-19 perspective. In response to the global pandemic scenario, educational institutions worldwide have temporarily closed with no time durations. This national wide closure of the educational institutions has adversely impacted millions of learners around the world. As a result, there is an unprecedented transition towards distance learning paradigms. In this context, digital libraries and digital literacy have an obvious role to play in traditional learning paradigms by offering teachers and learners a knowledge base in various forms of media. During the time of pandemics, digital libraries greatly support young learners and students in difficulty with actual training and academic knowledge they need from a remote location. Support (Certified academic institutions), digital equipment (laptop, desktop, mobile phones, etc.), and the digital content (a digital platform to support teaching and learning process) are the three major components that form the key source of a digital library. Thus it promotes e-learning by providing knowledge access to individuals everywhere. To the core, the COVID-19 pandemic persists in its global devastation. Consequently, numerous associated challenges may arise. One important challenge is to efficiently use recently developed tools and techniques to combat its effects against educational institutions. Digital library education enables greater opportunity for users to acquire and use the knowledge available in the form of digital information. It will not only alter the intellectual accomplishments of the universities; it is likely to restructure the global higher-education practices with enhanced knowledge and learning. Further, it promotes digital literacy among the students by improving their ability to use information and communication technologies to inculcate their knowledge and wisdom. On the other side, the number of students is growing every year, and hence there is an essential need to accommodate different academic environments and alternative learning strategies. These instances are inevitable, especially from a post-COVID-19 perspective, as there is a potential risk of future pandemics outbreak. This special issue's ultimate objective is to promote the digital library and digital literacy among the students using internet and communication technologies. To facilitate further research on digital library education and digital literacy, this special issue welcomes interdisciplinary researchers from computer science and information technology to present novel and innovative solutions that make the scope of this special issue state-of-the-art with real time applications. The thematic background for this special issue includes but are not confined to the following: Trends and techniques to enhance user interface and experiences in digital library Innovative methods of information retrieval in digital library Effective ways of promoting digital literacy among students from a post COVID-19 perspective Trends in virtual and augmented reality for digital library education Advances in multimedia big data analytics for digital library education from Post COVID-19 perspective Disruptive technologies to promote distance learning paradigms with digital library Role of critical computational literacy in digital library education Security and privacy concerns in digital learning environment Challenges and opportunities of digital libraries in education from a post COVID-19 perspective Artificial intelligence toolkits for virtual libraries Role of cloud computing in remote access to E-resources Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw . Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines . Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech . When submitting papers, authors should specify that the manuscript is for Special Issue on “Digital Library Education and Digital Literacy from a Post COVID-19 Perspective”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines Important Dates Manuscript Submission Deadline: June 7, 2021 Notification of Acceptance/Rejection/Revision: August 16, 2021 Revised Manuscript Due: November 19, 2021 Final Manuscript Due: January 22, 2022 Tentative Publication Date: the 2nd or 3rd quarter in 2022 Guest Editors: Dr. Carlos Enrique Montenegro Marin (Lead Guest Editor) District University Francisco José de Caldas, Bogotá, Colombia E-mail: cemontenegrom@udistrital.edu.co Dr. Xuyun Zhang Department of Computing, Macquarie University, Australia E-mail: xuyun.zhang@mq.edu.au Dr. Nallappan Gunasekaran Department of Mathematical Sciences, Shibaura Institute of Technology, Japan E-mail: nallappan.gunasekaran.b1@shibaura-it.ac.jp Dr. Hassan Fouad Mohamed El-Sayed Helwan University, Egypt E-mail: hassan_alsayed@h-eng.helwan.edu.eg
Special Issue: Intelligent Wireless Systems and urgent ICT Technologies for Selected Papers from FutureICT 2021
Theme and Scope In the future, ICT will play a highly important role in convergence of fast computing together with high-speed communications, and all other smart computational sciences and application and ICT also will influence the future world's various areas, including science, engineering, industry, business, law, politics, culture, medicine, and so on. However, there still exits lots of challenges in future ICT. Future ICT 2021 is intended to bring up the dissemination of state-of-the-art research in all future ICT areas, including their models, services, and novel smart applications associated with their utilization. This special issue will showcase the best submissions from the second Future ICT International Conference (Future ICT 2021) on Intelligent 5G/5GB/6G and urgent ICT technology. Topics: Topics included, but not limited to l AIoT (Artificial Intelligence of Things) and its Advance or Future Applications (AoFA) l Information Security Regarding to Novel Scenarios for Future Applications l Smart Manufacturing and AoFA l Smart Healthcare and its AoFA l Smart City and its AoFA l Smart Agriculture and its AoFA l Smart Home and its AoFA l Intelligent 5G/5GB/6G and their AoFA l Intelligent Wireless Ad-Hoc Networks and Wireless Sensor Networks and their Advance or Future Technologies l Intelligent Mobile Internet, Mobility Management and their AoFA l Intelligent Networks and Interconnection Networks for Green Computing l Security Threats, Security Policies and Secure Managements, Security Schemes, Secure Protocols, Cryptography and their AoFA l Intelligent Digital Forensic, Privacy and Trust and their AoFA l Quantum Cryptography and Future Applications l Others in the Advance or future ICT Areas. Instructions for Manuscripts Authors should prepare their manuscript according to the Instructions for Authors available from Journal of Internet Technology website. https://jit.ndhu.edu.tw/about/submissions#authorGuidelines Authors should submit papers through the online submission site (https://mc04.manuscriptcentral.com/internet-tech and select Special Issue Article and give the special issue title as “FutureICT 2021” when they reach “Step 1: Type, Title, & Abstract” in the submission process. Submitted papers should present original, unpublished work, relevant to one of the topics of the special issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least two independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process. Papers extending previously published conference papers are acceptable, as long as the journal submission provides a significant contribution beyond the conference paper, and the overlap is described clearly at the beginning of the journal submission. If you have any question about whether the overlap with another paper is "substantial," please include in the paper a discussion of the similarities and differences with other papers, including the unique contribution(s) of the journal submission. Important dates Submission window opens: March 1st 2021 Submission Deadline: May 31st 2021 First Round decision: June 30th 2021 Revision Due: July 31st 2021 Final decision: September 15th 2021 Publication: papers may be published in the first quarter of 2022 Guest Editors: Dr. Fang-Yie Leu (Lead Guest Editor) Tunghai University, Taiwan E-mail: leufy@thu.edu.tw Dr. Lidia Ogiela AGH University of Science and Technology, Poland E-mail: lidia.ogiela@gmail.com Dr. Kangbin Yim Soonchunhyang University, South Korea E-mail: yim@sch.ac.kr
Special Issue: Intelligent computing with internet of things learning
Selective papers from “2021 2nd International Symposium on Automation, Information and Computing (ISAIC 2021)” Theme and Scope As an effective way to promote knowledge exchange and information sharing, the learning has been playing an important role in the development and progress of human society for thousands of years. Various mediums, material, tools, and methods have been provided for communication among researchers, engineer, practitioners, and policy makers. In recent years, the booming development of information technologies have made significant changes on the traditional learning ways. For instance, the communication mode is moving from offline to online; the audiences are moving from the school-aged students to all the people; the knowledge is moving from a single discipline to interdisciplinarity. Hence, how to scientifically handle with the unprecedented changes in human history is becoming an increasingly popular research hotspot in internet of things learning fields. In recent years, the intelligent computing methods becomes a feasible and promising tool to meet the challenges. It can connect a wide range of terminal computing nodes (like mobile phone, tablet computer, laptop or servers) to realize the goal of high-computing and low-latency operating environment required in internet of things learning applications. However, there are few reports about using the advanced computer methods to address learning-associated problems by far. Under this background, it is of great importance to deepen the intelligent computing methods in the internet of things learning sciences, learning analytics, and networked learning, and educational evaluation and assessment. Potential readers include the research community, scientists, engineers, policy makers and operator of the internet of things learning as well as other related fields. Any topic related to advanced intelligent computing methods as well as their applications with internet of things learning will be considered. All aspects of design, theory and realization are of interest. Topics of interest for the special issue include but are not limited to the following areas: Intelligent computing methods for internet of things learning High-efficiency computing databases in internet of things learning Interactive computing software in internet of things learning Cloud platforms of computing in internet of things learning Innovative learning systems via intelligent computing methods Adaptative learning assessment via intelligent computing methods Safe learning system design via intelligent computing methods Learning risk analysis via intelligent computing methods Big data in computer learning via intelligent computing methods Efficient learning features extraction via intelligent computing methods Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Intelligent computing with internet of things learning”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines Important dates Submission Window Opens: December 7, 2021 (After the conference) Manuscript Submission Deadline: December 31, 2021 Notification of Acceptance/Rejection/Revision: February 28, 2022 Revise Manuscript Due: April 30, 2022 Final Manuscript Due: May 31, 2022 Tentative Publication Date: Fourth Quarter in 2022 Guest Editors: Dr. Shiping Wen (Lead Guest Editor) University of Technology Sydney, Australia Email: shiping.wen@uts.edu.au Dr. Zhong-Kai Feng Huazhong University of Science and Technology, China Email: myfellow@163.com Dr. Neal N. Xiong Northeastern State University, USA Email: xiong31@nsuok.edu
Special Issue: Computational Intelligence for Cognitive Internet of Things
Special Issue on "Computational Intelligence for Cognitive Internet of Things" Theme and Scope Cognitive Internet of Things (CIoT) is an emerging trend where cognitive computing is used to make IoT devices intelligent and smarter. CIoT is seen as the latest IoT combined with cognitive and cooperative frameworks for success promotion and intelligence achievement. In addition, CIoT is expected to provide better insights and high-level knowledge from the massive volume of data collected by IoT to generate benefits for customers, cities, and enterprise, supported by computational intelligence, therefore considered to push the next wave of data analytics and digital skills. In order to address key technological challenges, such as producing broad sensory data, secure computing on the CIoT edge, and integrating data from multiple sources and forms, the creation of cognitive technologies is very significant. From the other hand in order to progress with the latest paradigms of computation and communication, the CIoT framework must be modified by integrating technical concepts like deep learning, the CIoT sensing method, data analytics, and cognition in providing human-like cognitive ability. CIoT is an evolving area in which cognitive computing is used to make IoT systems smarter and intelligent. Since intelligence is the capacity to think about, learn from, understand and connect with one's surroundings, - Computational intelligence (CI) mainly relies on the power of natural agents to act intelligently. It covers the theory, architecture, implementation, and creation of computational paradigms that are biologically and linguistically driven, integrating elements of learning, adaptation, evolution, and fuzzy logic. These algorithms tend to estimate the answer to complex problems and generalise them, which tends to very low-robust approaches. CI aims to complement natural intelligence in order to achieve competitive results for humans. Besides it is an effective methodology for a wide variety of problems in data processing, such as financial forecasting, applications for manufacturing, science, and social media. Recent advances in computational intelligence have shown very promising results in many sectors. CIoT offers immense opportunities for creating smart and intelligent applications with computational intelligence. Integrating CI with CIoT, allows efficient handling of information and further it can be used for automation, management of resources, sustainable systems and better data protection. Recent developments in computational intelligence, fog computing, big data, and cognitive computational theory, however, indicate that the multidisciplinary CIoT still faces basic, long-standing issues, such as mathematical models and decision-making mechanisms based on brain, cognitive science, and psychological neurobiological processes. The purpose of this special issue is to provide an excellent platform for researchers and practitioners working on computational intelligence technologies for CIoT systems to exchange experiences and disseminate effective CIoT technology applications. In order to solve complex real-world problems associated with the CIoT, we invite the latest works concerning the design and implementation of CI algorithms The following topics are welcomed but not restricted: Recent innovations, infrastructure, technology and test-beds for CIoT Impact of Data analytics tools, programmes, technologies, algorithms and methods in CIoT Recent advancement in intelligent algorithms for cloud-based CIoT Current trends in cognitive dimensions of artificial intelligence in CIoT Advanced methods for Intelligent information fusion systems in CIoT Novel CIoT computational/intelligent models and software applications Implementation issues in blockchain based privacy and security for CIoT Computational Intelligent techniques for smart surveillance in online social networks Computational intelligence in big data computing and knowledge recommendation Novel intelligent systems for information fusion in CIoT New inventions in AI/ML/DL for cognitive based internet of things Applications of deep learning and computational intelligence-based data analytics for smart healthcare. Need of big data analytics for prediction, management, and decision-making in CIoT Design issues of heterogeneous AI memory systems on cloud-based CIoT Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Computational Intelligence for Cognitive Internet of Things”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines Important dates Manuscript Submission Deadline Date: 15 August, 2021 30 September, 2021 Authors Notification Date: 20 October, 2021 Revised Papers Due Date: 25 November, 2021 Final notification Date: 05 February, 2022 Tentative Publication Date: the 2nd or 3rd quarter of 2022 Guest Editors: Dr. Tu Nguyen (Lead Guest Editor) Department of Computer Science, Purdue University Fort Wayne, Fort Wayne, USA. Email: nguyent@pfw.edu Dr. Nam P. Nguyen Department of Computer & Information Sciences, Towson University, Maryland, United States. Email: npnguyen@towson.edu Dr. Claudio Savaglio Department of Computer Science, Modeling, Electronics and Systems Engineering (DIMES), University of Calabria, Italy. Email: csavaglio@dimes.unical.it Dr. Ying Zhang School of Information and Communication Engineering, University of Electronic Science and Technology of China. Email: yin.zhang.cn@ieee.org Dr. Braulio Dumba IBM Thomas J. Watson Research Center, Yorktown Heights, USA. Email: Braulio.Dumba@ibm.com
Special Issue: Selected Papers from “The 11th International Conference on Electronics, Communications and Networks (CECNet 2021)”
Special Issue on “Sustainability in Electrical Engineering and Renewable Energy” Theme and Scope The concepts of sustainability need to be addressed along with the understanding that sustainable development is not about certificates or awards, but instead it is about the vitality of life on Earth. Rapid development of electrical engineering and information technology in the past decades brings dramatic changes to the way people think and live. Technologies that promote sustainable energy include renewable energy sources, such as hydroelectricity, solar energy, wind energy, wave power, geothermal energy, bioenergy, tidal power and also technologies designed to improve energy efficiency. Costs have fallen dramatically in recent years and continue to fall. Most of these technologies are either economically competitive or close to being so. This special issue encourages sharing new knowledge in the field of sustainable technologies and the environmental impacts. The objectives are to provide the opportunities that have the potential to greatly enhance the infrastructure and capacity for conducting and applying art, science and technology for sustainability. In line with this idea, the performance of sustainable electrical processes, systems and devices should be addressed. This special issue aims to provide a platform for excellent papers from CECNet 2021. Research articles focusing on sustainability in electrical engineering and renewable energy and related topics are welcome for this Special Issue. Sustainability of Electrical Engineering Applied Mathematics for Energy and Environment Computational Methods in Electrical and Environmental Engineering Sustainable Electric Railway Systems Electric Equipment and Techniques for Industrial Waste Treatment Mathematical Models to Correlate Biomedicine and Electrical Engineering Strategic Management for Sustainability in Electrical Engineering Energy and Energy Efficiency of Industrial Systems Renewable Energy Systems Energy Harvesting Green Technology Bio Energy Smart Cities Internet of Things for sustainability Sustainable management Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Sustainability in Electrical Engineering and Renewable Energy”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Important dates Manuscript Submission Deadline: November 30, 2021 Notification of Acceptance/Rejection/Revision: January 31, 2022 Revise Manuscript Due: March 31, 2022 Final Manuscript Due: May 31, 2022 Tentative Publication Date: the Fourth Quarter in 2022 Guest Editors Dr. Kang Chia Chao Faculty of Electrical and Computer Engineering, Xiamen University Malaysia, Malaysia Email: wyattkang@yahoo.com.hk Dr. Ozlem Boydak Mechanical Engineering Department, Istanbul Medeniyet University, Turkey Email: ozlem.boydak@medeniyet.edu.tr Dr. Subrato Bharati Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology, Bangladesh Email: subratobharati1@gmail.com
Special Issue: IoT in Flipped Classrooms for Modern Education
Special Issue on “IoT in Flipped Classrooms for Modern Education” Theme and Scope Internet of things (IoT) in Flipped classrooms is the most creative form of modern education in which the global curriculum system takes special consideration. It explores the impact on student learning and improvement based on organized computer-assisted interactive idea mapping, as it is used as an in-class Auxiliary IoT tools in flipped classroom teaching for modern education. It adopts a quasi-experimental approach to evaluate instructional methods based on conventional lessons in the classroom in which students answer and address questions as one section of the class. In another category, the instruction in the tutorial classrooms utilizes formal collective visualization of ideas and addresses misconceptions in modern education. The advent of IoT in modern teaching strategies fulfills the requirements and priorities to understand the subject. IoT technologies have great potential for improving the educational quality for the welfare of students’ community. Hence, other than education values or inventing libraries or researching the field, the IoT has attracted enthusiastic educational professionals due to flipped classroom concepts using Augmented Reality (AR) and Virtual Reality (VR), or secure education spaces for the modern education system. The application of instructional data mining and learning processing has been continually taken into account with the advent of IoT in Flipped Classroom Models and the accelerated growth of research analyses to take advantage of learner data to optimize the process. Some data collected from the behavior of students and Flipped Classroom instructors have made it possible to perform a range of Learning Analytics algorithms, and Data Mining focused on evidence and self-sustaining learning. A significant educational challenge in the conventional lectures has been overcome by the accelerated proliferation of IoT technology, which helps the modern education system in the area of Science, Technology, Engineering, and medicine (STEM). However, IoT Flipped classrooms for modern education can effectively allow students to become efficient in learning in the future, and help students to gain real experience. Futuristic significance of IoT Technology has been utilized in educational institutions, as it can be the key driver to enhance educational outcomes. Thus, emerging techniques used by creative educational methods are allowing significant research activities have been focused on this particular issue. Submissions should consist of novel ideas, original results, theoretical and applied research in following topics, but not limited to: IoT assisted approaches for academic enhancement in flipped classroom management. learning approaches to improve education experiences using IoT assistance IoT based automated smart tracking systems for modern educational systems Personalized learning using IoT technological solution Task-based learning for smart education using AR and VR on the IoT platform IoT based virtual flipped classrooms for modern education Remote laboratories for modern education system using AR and VR on IoT platform IoT assisted interactive teaching for modern education IoT based Flipped classroom technologies in Practices of innovative training Remote IoT learning applications in modern education research IoT-based application performance management for the cost-effective modern educational process IoT computing technology resources and repositories for the flipped classrooms Futuristic IoT-learning systems for the flipped classroom IoT assisted Artificial intelligence-powered modern educational research Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw . Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines . Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “IoT in Flipped Classrooms for Modern Education”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines . Important dates Paper Submission Deadline: 15.04.2021 Author Notification: 08.05.2021 Revised Papers Submission: 28.07.2021 Final Acceptance: 25.09.2021 Tentative Publication Date: 31.12.2021 Guest Editors Dr. Vijayalakshmi Saravanan Rochester Institute of Technology, United States Ryerson University, Canada E-mail: vsavse@rit.edu Dr. Sujatha Krishnamoorthy Department of Computer Science, Wenzhou - Kean University, China E-mail: krishnsu@wku.edu.cn Dr. Xuyun Zhang Department of Computing Macquarie University, Australia E-mail: xuyun.zhang@mq.edu.au
Special Issue: Chinacom 2020 - 15th EAI International Conference on Communications and Networking in China
Chinacom 2020 - 15th EAI International Conference on Communications and Networking in China With the exponential growth of data traffic due to ubiquitous portable devices, machine to machine communications, and novel user-centric applications such as augmented/virtual reality, the demands for a new computing paradigm also increasing. The large pool of traditional cloud resources and services has contributed to the development of society. However, state-of-the-art cloud computing turns into a problem for communication-intensive applications, which need to meet the delay requirements. The problem becomes more intense as the huge application of the Internet of Things. Mobile Edge Computing which processes data at the nearest available nodes is emerging as very promising computation architecture to handle ever-increasing demands. It aims to enable the millions of connected mobile devices to execute the real-time applications directly at the network edge, and provides sufficient mobility support. However, there are several challenges and problems should be solved before we can enjoy the benefits of the advanced mobile edge computing architecture. For examples, the heterogeneity of kinds of devices, the deployment of services and applications, the task allocation and offloading as well as resource management. Hence, this special section will bring together leading researchers and developers to explore recent advanced technologies for mobile edge computing, especially in the wireless personal communications field, in terms of system, service and application. The topics of interest for the special issue include, but are not limited to: Topics l Advanced communication network design and implementation in mobile edge computing l Autonomous mobile edge system in wireless personal communication l Operating system and framework for mobile edge computing l Smart mobile edge services and application l Testbed, experiments, and simulations of advanced mobile edge system l Advanced workload allocation and offloading mechanisms l Green and sustainable resource management l Advanced QoS adaptive design and algorithms in mobile edge computing l Performance optimization in mobile edge computing l Artificial intelligence algorithm design and application in mobile edge computing l Advanced security and privacy in mobile edge computing l Tools and benchmarks for intelligent mobile edge computing system Instructions for Manuscripts Selected Manuscripts from “15th EAI International Conference on Communications and Networking in China (Chinacom 2020)” Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/ . Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines . Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech . When submitting papers, authors should specify that the manuscript is for Special Issue on “Chinacom 2020”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline . Important Dates l Manuscript submission deadline: May 20, 2021 l Notification of acceptance/ rejection/ revision: July 25, 2021 l Submission of final revised paper: September 25, 2021 l Publication of special issue (tentative): December 31, 2021 Guest Editors: Prof. Xiaoxian Yang, Shanghai Polytechnic University, China (Lead Guest Editor) E-mail: xxyang@sspu.edu.cn Prof. Zhiyuan Tan, Edinburgh Napier University, UK E-mail: Z.Tan@napier.ac.uk Prof. Yueshen Xu, Xidian University, China E-mail: ysxu@xidian.edu.cn Prof. Honghao Gao, Shanghai University, China E-mail: gaohonghao@shu.edu.cn
Special Issue: IoT for Smart Learning Environments
IoT for Smart Learning Environments Educational Industry has been continuous adapting to technological advancement since its inception. The access to digital space has increased huge opportunities for the learning world. Conservative Models in learning have seen both success and failure over the years. Specialized approaches with personalized factors have become one of the important learning curve for students with the implementation of smart learning environment. There is variety of smart learning cultures prevailing in the environment, every institution or organization has their own approaches, procedures, techniques and process in the creation of learning environment. Since all students have different abilities inculcating smart learning methods may bring the hidden abilities. The failure in every learning system is the focus of human centered challenges. The Internet of Things will be a perfect technology for the control of various things in a learning environment. With several IoT technologies several devices can be connected to a network on a real time basis. Utilizing the smart devices in the learning environment like Smart Television, Computing devices, Apps in mobile devices, various tracking sensors and many more can be used in the administering of smart learning. In addition, implementing IoT based security and safety measures is also an added advantage of creating a quality learning environment. Educational innovations enhanced in physical spaces shall create a faster and perfect learning curve. The use of context-aware components considering the learners point of view is an important and needed advancement for smart learning. IoT can digitally connect academicians, teachers, counselors, students in a single platform; it also serves as a tool and provides additional support based on the requirements. While integrating IoT with SLE effective user framework and interfacing methods are the important layers. Since the main objective of the integration is the need of ubiquitous learning, the outcomes of the process may require knowledge, performance, assessment, feedback for the completion of the SLE. However putting forth an extra concentration on the areas of planning, framework, protocol, algorithm for smart sensing can increase the high performance of hardware platform or software framework. The main aim of this special issue is to invite scholars, academicians and professional to submit their research oriented ideas and implementations related to IoT for Smart Learning Environments. Scope of this special issue is as following but not limited to: ● Creating an Ubiquitous learning environment using IoT ● Sensor data processing and integration for Smart Learning Environments ● Need of Energy efficient protocols for IoT in smart environment ● Efficient network protocols for smart objects based on communication platform ● A Design based thinking to adapt a framework for Smart Learning Environments ● Best practices in implementation of smart learning environments ● The need of smart technological reform of learning environments ● IoT based pedagogical tools for supporting smart learning ● A study on Policy based issues related to smart learning environments ● The necessity of smart evaluation approaches to increase the effectiveness and efficiency of smart learning ● Architectural frameworks for IoT based Smart Learning Environments Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “IoT for Smart Learning Environments”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Important dates Article Submission Due 31st August, 2020 Author Notification 12th November, 2020 Revised Article Due 26th January, 2021 Final Notification 28th March, 2021 Estimated Publication the 3rd or 4th quarter in 2021 January 31, 2021 Guest Editors: Dr. Seifedine Kadry Associate Professor Department of Mathematics and Computer Science Beirut Arab University - Beirut Campus Tarik El Jadida, Beirut, Lebanon s.kadry@bau.edu.lb Dr. Yu-Dong Zhang (Eugene) Professor, Department of Informatics, University of Leicester, University Road, Leicester, LE1 7RH, UK yz461@le.ac.uk Dr. Shuai Li Assistant Professor – Research, Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong. shuaili@polyu.edu.hk
Special Issue: Sustainable Development of Smart Cities with Edge Computing Techniques
Sustainable Development of Smart Cities with Edge Computing Techniques Theme and Scope The advent of modern technologies has enabled the growth of developing smart cities with a variety of automated services. This leads to the massive deployment of smart infrastructure with advanced sensing capabilities that are networked into an automated smart city system. Moreover, the entire environment of sensing elements is typically connected across the cloud or a centralized system. However, the process of computation of data received from numerous smart devices is highly critical often results in higher latency measures. Internet of things (IoT) and cloud computing form an integral part of developing smart cities and offers numerous smart services to the end-users. Since the IoT devices are highly data-intensive and resource-constrained in nature, the use of edge computing technologies could offer significant benefits to the smart environment. Smart cities deal with various complexities including wired, wireless, mobile, sensor, optical, and other related network technologies edge computing can be an optimized solution in building a smart infrastructure with reduced bottlenecks. Besides, Edge Computing integrates technologies like IoT, Cloud Computing, and Big Data into a common platform to deliver state of the art services. Edge computing methodologies can efficiently process sensor data obtained from various smart city locations such as public or private transports, Industrial areas, healthcare, logistics, environment, and many more on a real-time basis at the device end. This data is further sent to the centralized servers or a cloud server for further storage and processing processes. Besides, with a robust edge computing model across edge networks or gateways at the device location increases the effectiveness of the devices and minimizes the network load to a great extent. There are many layer and data protocols available like Low Power Wide Area Network (LPWAN), Near Field Communication (NFC), Zigbee, Message Queue Telemetry Transport (MQTT), The Constrained Application Protocol (CoAP), Extensible Messaging and Present Protocol (XMPP), Lightweight Local Automation Protocol (LLAP), and many more which can be used in synchronization of data in order to recover from the network-based errors. However, the process of convergence of edge computing methodologies for smart cities possesses significant challenges such as hardware limitations at the device side, minor data losses, security breaches, etc., The use of edge computing for smart city applications efficiently deals with these challenges and offer significant benefits. This special issue invites experimental, conceptual, and theoretical contributions based on edge-computing techniques and other integration of various networking paradigms in the development of a smart city. The topics of interest for the special issue include, but are not limited to the following: Smart edge networks for IoT devices Convergence of IoT, edge computing, cloud computing and blockchain for smart cities Fog/edge computing architectures for smart cities Combined effect of blockchain and edge computing for IoT smart cities Relationship between IoT, edge, and cloud systems in smart city scenarios Resource management and performance optimization with edge networks for smart city applications Edge systems applications and services for smart cities Fault-tolerance, availability, and replication of the edge devices Edge computing for smart devices and wearable technologies Ethical computational intelligence for smart city edge computing applications (smart buildings, smart transportation systems, smart lighting systems, and many more) Wireless networking architectures and protocols for edge computing Blockchain enabled edge computing and intelligence (artificial intelligence, smart contract techniques, machine learning, transfer learning and federated learning) Robust and efficient convergence of fog/edge computing with IoT smart applications Information-Centric Networking and Edge Computing enabled Smart Cities Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Sustainable Development of Smart Cities with Edge Computing Techniques”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Important Dates: Last Date for Manuscript Submission 14.10.2020 Notification to Authors 18.12.2020 Revised Manuscript Due 27.02.2021 Decision Notification 29.04.2021 Tentative Publication Date the Third Quarter in 2021 Guest Editors: Dr. Ching-Hsien Hsu [Leading Guest Editor] Fellow of IET Chair Professor and Dean, College of Information and Electrical Engineering Department of Computer Science, Asia University, Taiwan Email: robertchh@asia.edu.tw Dr. AmAmir H. Alavi Assistant Professor, Department of Civil and Environmental Engineering, Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, USA. Email: alavi@pitt.edu Dr. Mianxiong Dong Department of Sciences and Informatics Muroran Institute of Technology Email: mx.dong@csse.muroran-it.ac.jp
Special Issue: “15th Asia Joint Conference on Information Security (AsiaJCIS 2020)”
Theme and Scope Information security is a multidisciplinary area that addresses the development and implementation of security mechanisms in order to protect information systems with specific purposes against potential attacks or threats. The security goal can be defined for each type of attacks. The currently relevant set of security goals includes confidentiality, integrity, availability, privacy, authenticity & trustworthiness, non-repudiation, accountability and auditability. However, with the rapid global penetration of network, different models are considered to design new solutions to realizing information security (i.e., in IoT or distributed scenarios). This attracts attention to work on information security research on modern architecture of information systems. Very recently, the AI techniques have joined this area and also acted as a double-edged sword in realizing attacks and defenses. The main purpose of this special issue is to publish selected papers with high-quality from “15th Asia Joint Conference on Information Security (AsiaJCIS 2020).” In this special issue, we focus mainly on cryptography, network security, system security, and application security. We are interested in novel ideas, advanced techniques, comparative analysis of different methodologies, detailed surveys, and technical reviews on all aspects of cooperative communications and mechanisms in information security. This special issue also covers industrial applications and academic research contributions. Potential topics include but are not limited to the following: Cryptography: Applied Cryptography, Post-Quantum Cryptography, Cryptoanalysis, Lightweight Cryptography Network Security: Cloud Security, NGN Security, Home Network Security, Mobile, Ad-Hoc and Sensor Network Security, VANET Security, Network RFID Security, Wireless PAN/LAN/MAN/WAN Security, P2P Network Security, FW/IDS/IPS, DoS/DDoS Attack Countermeasures, Leakage Resilience System Security: System/Middleware/OS Security, Virtualization Security, Database Security, Secuyptographyre eHealth/eBusiness/eCommerce/eGoverment, Secure eVode/eContract/eCash, Blockchain, Ubiquitous Security, Internet of Things (IoT) Application Security: Anti-Spam, Web Services security, SNS Security, VoIP Security, Smartphone Security, IPTV Security Information Security: Management Human Resource Security, IT Assurance, Security Policy, Digital Evidence, Big Data Others: Smart Grid Security, Malware Countermeasures, Content Security, ID Management and Privacy Controls, Biometrics, Security Engineering, Usable Security and Privacy, Outsourcing/Verifiable Computing Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw . Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech . When submitting papers, authors should specify that the manuscript is for Special Issue on “15th Asia Joint Conference on Information Security (AsiaJCIS 2020)”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Important dates Manuscript Submission Deadline: December 30, 2020 Notification of Acceptance/Rejection/Revision: January 31, 2021 Revise Manuscript Due: March 31, 2021 Final Manuscript Due: April 30, 2021 Tentative Publication Date: the Second Quarter in 2021 Guest Editors Dr. Yu-Chi Chen Department of Computer Science and Engineering, Yuan Ze University, Taiwan Email: wycchen@saturn.yzu.edu.tw Dr. Rui Tanabe Institute of Advanced Sciences, Yokohama National University, Japan Email: tanabe-rui-xj@ynu.ac.jp Dr. Yujue Wang School of Computer Science and Information Security, Guilin University of Electronic Technology, China Email: yjwang@guet.edu.cn Dr. Huy Kang Kim Center for Information Security Technologies (CIST), Graduate School of Information Security, Korea University, Korea Email: cenda@korea.ac.kr
Special Issue: Selected Papers from “The 10th International Conference on Electronics, Communications and Networks (CECNet2020)”
Special Issue: Selected Papers from “The 10th International Conference on Electronics, Communications and Networks (CECNet2020)” Theme and Scope Recent developments taken place in the era of communication throughout the globe are very attracting and remarkable. This was made possible due to the achievements and enhancements in new fields like Artificial Intelligence, Machine learning, Deep Learning, 5G and Big data analytics along with the rapid developments in electronics and information technology. With these tremendous happenings in the communication technology will definitely create a platform to fulfill our further dreams to reach our information up to Chandra Mandal also. The main purpose of this special issue is to publish selected high standard and worthy papers from “10th International Conference on Electronics, Communications and Networks (CECNet2020)” and hence to solve our dreams to come practical solutions and also to face the challenges of the present internet technology Passionists. This special issue will also provide a great media to all the academicians, Industrialists and researchers to share all their views and concepts throughout the enthusiastic technology globalists. The worthful topics in this special issue selected from “10th International Conference on Electronics, Communications and Networks (CECNet2020)” are and limited to: Artificial Intelligence Machine Learning Deep Learning Voice, Image and Video Processing Wireless Communication Networks Computing Technologies Sensor Technology Ocean & Satellite Technology IoT & Big Data Analysis Techniques. Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw . Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech . When submitting papers, authors should specify that the manuscript is for Special Issue on “The 10th International Conference on Electronics, Communications and Networks (CECNet2020)”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Important dates Manuscript Submission Deadline: November 30, 2020 Notification of Acceptance/Rejection/Revision: January 31, 2021 Revise Manuscript Due: March 31, 2021 Final Manuscript Due: May 30, 2021 Tentative Publication Date: the Fourth Quarter in 2021 May 31, 2021 Guest Editors Dr. Raveendra K Associate Professor, Sri Venkateswara Engineering College (Formerly SVEW), Tirupati, Andhra Pradesh, India. Email: raveendrasvew@gmail.com Dr. He Xiao Cadence Design Systems, Inc., USA Email:xiheasas@gmail.com Dr. Kang Chia Chao Faculty of Electrical and Computer Engineering Xiamen University Malaysia Email:wyattkang@yahoo.com.hk
Special Issue: Special Issue on “Cyber Security in Internet of Vehicles (IoV)”
Special Issue on “Cyber Security in Internet of Vehicles (IoV)” Rapid urbanization and improved quality of life have drastically raised the rate of motorization across urban areas. It is estimated that more than half of the global population make use of their vehicles for day to day transportation activities. This leads to the proliferation of various concerns such as congestion, complications in vehicle parking, pollution, increased traffic rates, road accidents, etc. Among them traffic management and safety assistance are found to be the most significant challenges across today’s transportation systems; if left unaddressed may lead to serious consequences on both the environment as well as human lives. In recent years, there is an emerging trend of Intelligent Transport Systems (ITS) that controls coordinate and manage increasing traffic rates and transportation difficulties. Development in Information technology, communication systems, internet connectivity, data collection, and analysis has drastically changed the traditional transportation facilities to modern intelligent transportation systems. Intelligent Transport Systems (ITS), Vehicular ad-hoc Networks (VANET), VANET cloud (VC), and Internet of Vehicles (IoV) are some of the notable applications of modern intelligent transport systems. However, the advent of digital innovation in the modern transportation system does not guarantee the future of security and reliability factors; indeed it needs more sustainable developments. Internet of Vehicles (IoV) is the advanced evolution of conventional VANET systems, which consists of a network of entities such as vehicles, pedestrians, car parks, roads and city infrastructures that provides real-time communication between them. In an IoV system communication between various entities take place through three different means such as Vehicle to Vehicle (V2V), Vehicle to Infrastructure (V2I), and Vehicle to Pedestrian (V2P). Since the IoV system act as a common infrastructure for third party users to leverage and interact with underlying vehicle services, it becomes the prime attack surface concern for the attackers and intruders. Further, in a vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communication, most of the decisions are data-driven and it is necessary for the information to instantly accessible and consistent. In such cases, it is critical that the information provided should be accurate and comes from an authenticated source. Even a slight deviation in IoV data accuracy and unauthorized data access could create a greater impact on drivers and other potential system users. Thus, it has become mandatory to design and implement effective security solutions that identify and respond to possibly inaccurate, missing, malicious, and injected data. At present, there exists a set of standard security protocols for IoV systems. However, with the growing technological confluences of cyber threats traditional IoV security mechanisms are subject to change continuously with an increased need for data security and confidentiality measures. This special issue aims to address innovative cyber security solutions for IoV systems. We welcome the most innovative cyber security approaches and state-of-the-art research findings to address security challenges in IoV communication and data storage processes. The proposed security solutions should be novel, unpublished, and in-depth research that makes significant contributions to protect IoV systems from increasing cyber threats. The topics of the special issue include but not limited to the following: Privacy and security mechanisms for Internet of Vehicles (IoV) Enhanced cyber security methods and standards for vehicle to vehicle (V2V), vehicle to pedestrian (V2P) and vehicle to infrastructure (V2I) communication in IoV environment Trust based cyber security protocols for end to end communication in IoV infrastructures Enhancing location based services and navigation in IoV with advanced security protocols Automotive cyber security: vision, architecture and future directions Decentralized system architectures, communication protocols, consensus algorithms and strategies for IoV Methods and protocols to enhance IoV cyber security with intelligent systems such as artificial intelligence and machine learning algorithms Sustainable smart vehicles and cyber security solutions Authentication and authorization mechanisms for IoV using cyber security Frontiers in cyber security for IoV Growing impact of cyber threats in real-world IoV systems and its effective solutions Instructions for Manuscripts: Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “Cyber Security in Internet of Vehicles (IoV)”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Important Dates: Article Submission Deadline Date: 15 December 2020 Authors Notification Date: 15 February 2021 Revised Papers Due Date: 15 April 2021 Final notification Date: 15 July 2021 Tentative Publication Date: the Fourth Quarter in 2021 Guest Editors: Dr. Neeraj Kumar [Leading Guest Editor] Full Professor, Department of Computer Science and Engineering, Thapar Institute of Engineering, Thapar University, India Email: neeraj.kumar@thapar.edu, neeraj.kumar.in@ieee.org Dr. Seungmin (Charlie) Rho Assistant Professor Department of Software, Sejong University, Seoul, Korea (Republic of) Email: smrho@Sejong.edu Dr. Mamoun Alazab Senior member IEEE Associate Professor, College of Engineering, IT and Environment, Charles Darwin University, Australia Founding Chair: IEEE Northern Territory Subsection Email: alazab.m@ieee.org
Special Issue: “Deep learning algorithms for enhancing security in Cloud Service”
Call for Papers “Deep learning algorithms for enhancing security in Cloud Service” Purpose: Deep learning is one of the major disciplines within Artificial Intelligence (AI) that uses complex algorithms to make computer understand any task as what a human does. Neural networks are the base platform on top of which deep learning algorithms are developed. It can be easily said that most of the sophisticated and AI based systems use deep learning algorithms for feature extraction, understanding, classification and prediction. With the growing volumes of digital data which is available courtesy of several social media platforms, deep learning can serve as a vital catalyst in discovering new patterns and trends from these digital data. Deep learning concepts have been applied across a wide range of business and commercial activities such as medicine, e-commerce, stock market analysis and predictions, e-banking transactions, retail promotions etc. Deep learning can be applied in any space of digital finance and marketing. However, a sufficient amount of “training” data should be available. The ease and scalable aspects of deep learning principles make it an instantaneous choice for adapting into any domain for making decisions. Security in Cloud Service is a multidisciplinary field of study concentrating on the structure of PC innovation and, specifically, the cooperation between the clients and PCs. While at first worried about PCs, Cloud has since extended to cover practically all types of data innovation plan. The challenge especially when deep learning principles are applied for cloud lies with the fact that these stimulated inputs should be represented as suitable inputs to the deep learning based classifier and the mapping functions should be clearly defined and encoded based on these inputs. The success of deep learning based solutions for enhancing security in Cloud Service is hugely reliant on the accuracy and decision making capabilities. This special issue on Deep learning algorithms for enhancing security in Cloud Service serves as an excellent platform to exchange innovative, creative and novel ideas related to exploring the opportunities of applying deep learning principles across modern security methods in cloud. Topics of interest include but are not restricted to: Deep Learning in cloud computing based services Deep Learning in Semantic Computing Deep Learning in Cloud Services Deep Learning in Big Data as a Service Deep Learning based Service-Oriented Applications Survey in enhancing security in Cloud Service Enhanced data security in cloud storage Security in cloud services – A Hybrid Approach Security and Privacy Issues in Cloud Services Deep Learning based on End to End Cloud Security Encryption algorithms for enhancing security in Cloud Service Analysis on Cloud based security framework Advanced security models based on cloud computing Cloud security using hybrid encryption algorithm Deep Learning on cloud based security framework Important dates Paper Submission Deadline 17-10-2020 Author Notification 17-01-2021 Revised Papers Submission 17-03-2021 Final Acceptance 17-05-2021 Tentative Publication the 4th Quarter in 2021 January 31, 2021 Guest Editors: Dr. Gunasekaran Manogaran, Big Data Scientist, University of California, Davis, USA gmanogaran@ucdavis.edu Dr. Hassan Qudrat-Ullah, Professor of Decision Sciences, , School of Administrative Studies York University, Toronto, Canada hassanq@yorku.ca Dr. Ching-Hsien Hsu, Department of Computer Science and Information Engineering, Chung Hua University, Taiwan chh@chu.edu.tw Dr. Qin Xin, Full Professor of Computer Science, Faculty of Science and Technology, University of the Faroe Islands, Faroe Islands. qinx@setur.fo
Special Issue: Selected Papers from “The 2nd International Conference on Sensor Networks and Signal Processing (SNSP 2019)”
Theme and Scope Recent progress in virtualization, networking and data processing unleashed the potential of the technological advancement in multiple areas like Distributed Algorithms, Sensor networks, Big Data, Cloud Computing, etc. In this modern era, development of networking technologies, protocols and newer algorithms becoming essential factors for getting the newer technologies like Cloud Computing, Internet of Things (IoT), Data Analytics, Machine Learnings become matured so that it can be easily adopted across the globe. These newer technologies face various challenges to adopt in the real-time environment. The various researches are being carried out by R&D organizations and academics researchers. These research works help in addressing multiple aspects of real-time customer issues. These kinds of multi-disciplinary works should be helping in shaping up the technologies in the right direction and help the customers to adopt them without any issues. This special issue is focused to provide a systematic overview and state-of-the-art research in Distributed Algorithms, Security and Privacy, Internet Technology, Cloud Computing, IoT, Big Data with a special focus on Sensor Networks, Signal Processing and Networking technologies, and will outline new developments in fundamental, approaches, methodologies, software systems, and applications in these areas. Submissions should consist of novel ideas, original results, theoretical and applied research in the following topics, but not limited to: Sensor and Actuator Networks Wireless Networks Networking and Protocols Security and Privacy Wireless Communications Distributed Algorithms Internet of Things (IoT) Cloud Computing System Modeling and Performance Analysis Fault tolerance/diagnostics Information Management Data Mining and Analysis Embedded Systems Design Signal Theory Signal and Image Processing Detection and Estimation Spectral Analysis Software Developments Pattern Recognition Data Processing Remote Sensing Big Data Machine Learning Information and Coding Theory Industrial Applications Instructions for Manuscripts Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw . Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech . When submitting papers, authors should specify that the manuscript is for Special Issue on “The 2nd International Conference on Sensor Networks and Signal Processing (SNSP 2019)”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines. Important dates Manuscript Submission Deadline: November 30, 2019 Notification of Acceptance/Rejection/Revision: February 20, 2020 Revise Manuscript Due: April 30, 2020 Final Manuscript Due: June 30, 2020 Tentative Publication Date: the Fourth Quarter in 2020 Guest Editors Dhanapal Angamuthu Vellore Institute of Technology, Chennai, India Email: Dhanapal.Ang@gmail.com, Dhanapal.a2013@vit.ac.in Tony Tsang Hong Kong College of Technology, Hong Kong Email: ttsang@ieee.org, tcytsang@live.hk Jiang Lu University of Houston, USA Email: luj@uhcl.edu
Special Issue: Selected Papers From “8th IEEE International Conference on Innovation, Communication and Engineering 2019 (IEEE ICICE 2019)”
THEME Engineering and Design Innovations are both academic and practical engineering fields that involve systematic technological materialization through scientific principles and engineering designs. Technological innovation by Electrical/Mechanical Engineering includes Information Technology (IT)-based Intelligent Electrical/Mechanical Systems, Electronics, Mechanics, Human-Computer Interaction (HCI) and Design Innovations. IT-based Intelligent Systems, which implant intelligence to systems, is an interdisciplinary area combining conventional electrical/mechanical technology and new information technology. The main goal of this special collection is to publish selected papers from “8th IEEE International Conference on Innovation, Communication and Engineering 2019 (IEEE ICICE 2019)”. The ultimate aim is to discover new scientific knowledge relevant to IT-based Intelligent Electrical/Mechanical Systems, Mechanics, Human-Computer Interaction (HCI) and Design Innovations. We invite investigators interested in systems design innovations to contribute their original research articles to this special collection. The potential topics include (but are not limited to): • Multimedia systems • Network Operating System (NOS) • Smart electromechanical system analysis and design • Computer-aided methods for mechanical design procedure and manufacture. • Internet Technology on mechanical system innovation. • Various computational topics of methodologies and procedures of design. • Machine diagnostics & reliability • Smart Sensors, actuators, and materials • Intelligent mechanical manufacturing system • Human-Computer Interaction (HCI). • Virtual, Augmented and Mixed Reality • Cross-Cultural Design • Social Computing and Social Media • Design, User Experience and Usability • Learning and Collaboration Technologies • Augmented Cognition • HCI in Games • HCI for Cybersecurity, privacy and Trust • Human Aspects of IT for the Aged Population • Distributed, Ambient and Pervasive Interactions • Universal Access in HCI • Human Interface and Management of Information Instructions for Manuscripts Each paper, written in English, should be no more than 5,000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines . All submitted papers will be reviewed by at least three reviewers and selected based on their originality, significance, relevance, and clarity of presentation. The covering letter should indicate the names of the authors and their affiliations, addresses, faxes, and e-mails. Manuscripts must also be uploaded through the electronic submission system: https://mc04.manuscriptcentral.com/internet-tech . Please specify that the manuscript is for the special issue on “8th IEEE International Conference on Innovation, Communication and Engineering 2019 (IEEE ICICE 2019)”. Important Dates for Manuscripts Manuscript Deadline: May 31, 2020 First Round of Reviews: June 30, 2020 Second Round of Reviews: July 31, 2020 Tentative Publication Date: December 31, 2020 Guest Editors Prof. Hao-Ying Lu, National Quemoy University, Taiwan Email: hylu@nqu.edu.tw Prof. Sheng-Joue Young, National Formosa University, Taiwan Email: youngsj@nfu.edu.tw Prof. Liang-Wen Ji, National Formosa University, Taiwan Email: lwji@nfu.edu.tw
Special Issue: “Social Issues Regarding Recent Advances in Internet Applications” (WiCON 2019)
Theme and Scope Recent advances on Internet applications have unleashed considerable effort to our daily life and rise amounts of social issues, such as commercial deviance, infringement, social network problems, and education matters. The effort is involved in many different fields of social science; in particular, sociology, jurisprudence, politics, economics, and management. Therefore, it is necessary to rely on professional knowledge and expertise to recognize the implications of shifts between new Internet applications and our society. This special issue is made for practitioners to contribute with their original research and review papers responding to the requirements of interdisciplinary studies, which provide substantive responses to Internet-related social issues arising in connection with Internet applications. Consequently, our significant achievements are (i) understanding changes toward Internet usages and (ii) predicting the coming tasks in our society. There is an extreme demand to reflect the advanced ideas of Internet usages in different areas. As industrial and academy move on to exploit the technologies, more people will be involved in the benefits and drawbacks of the emerging technology. Hence, significant challenges regarding the researches of the impacts brought by information technology remained. Topics appropriate for this special issue include, but are not limited to:  Commercial deviance and blockchain  Data protection and security matters  E commerce and “micro business”  Finical deviance and fintech  Finical deviance and P2P lending  Intellectual property matters regarding recent advances on Internet applications  Issues regarding applications of e service  New-emerging issues in e management  New-emerging social network problems  Political anticipations and Internet usages  Recent advances to applications of education matters Instructions for Manuscripts Selected Manuscripts must be prepared according to the standards for submission to the Journal of Internet Technology; see instructions for Authors in: https://jit.ndhu.edu.tw/about/submissions#authorGuidelines The sample format can be downloaded from https://jit.ndhu.edu.tw/about/submissions#authorGuidelines Manuscripts must also be uploaded through the electronic submission system: https://mc04.manuscriptcentral.com/internet-tech Please specify that the manuscript is for the “Social Issues Regarding Recent Advances in Internet Applications” special issue. Important Dates Manuscript Due: March 31, 2020 Notification of Acceptance/Rejection/Revision: June 15, 2020 Revise Manuscript Due: July 15, 2020 Final Manuscript Due: August 15, 2020 Tentative Publication Date: 4th Quarter, 2020 (Tentative) Guest Editors Prof. Chun-Hsien Sung Department of Finance and Law, Overseas Chinese University, Taiwan, Email: scotsung@gmail.com Prof. Cheng-Yong Liu School of Civil and Commercial Law, Beijing Institute of Technology, Zhuhai, Email: priliu36@gmail.com Prof. Der-Jiunn Deng Department of Computer Science and Information Engineering, National Changhua University of Education, Taiwan, Email: djdeng@cc.ncue.edu.tw Prof. Mohammed Atiquzzaman School of Computer Science, University of Oklahoma, USA, Email: atiq@ou.edu
Supporting Open Access There is an ever increasing need for rapid access to new scientific findings, and an accelerating pace of discoveries in internet technology. There is also growing demand for open access and we work hard to provide that choice for scientists and researchers worldwide. We have published articles since 2018 that are immediately free to access and download.
Special Issue: Advanced Artificial Intelligence for Industrial Internet of Things
Themes and Scopes Smart devices, sensors, and machines generate a wealth of valuable data with suitable connectivity from Industrial Internet of Things (IIoT) across manufacturing environments or supply chain. Artificial intelligence (AI) technologies (e.g. deep learning, reinforcement learning, machine vision, etc.) can create new value chain through gathering, processing, and learning these data. The integration of AI and IIoT have an exciting promise. Machine learning-powered rapid testing during the industrial design process can enable greater program and cost certainty than previously realizable. Data analytics tools can now not only predict when and where machinery and equipment is going to need maintenance with a high degree of accuracy, but act on that need. Machine vision and deep learning help the self-drive vehicle to enhance accuracy of recognizing traffic signs. Meanwhile, connected equipment across the supply-chain provides real time data which can be utilized by machine learning and predictive analytics technologies. There are still some challenges, which hinder the large-scale application. Specially, some of these data sources are structured (such as sensor signals), some are semi-structured (such as records of manual operations), and some are completely unstructured (such as image files). However, most of the unstructured data is either unused or used only for very specific, tactical purposes. lots of industrial data is generally not utilized strategically, and is poor interoperability across incompatible technologies, systems, and data types, so it is unable to effectively extract value from them. Furthermore, the transmission of mass industrial data with different priorities also is a hard job for industrial heterogeneous networks, AI-enabled analytic technologies will help to optimize networks and realize intelligent data transmission. In addition, AI-powered applications usually run on the remote cloud, and the service delay is uncontrollable, but in industrial process, the service delay is constrained strictly. Fortunately, the emerging of edge computing at the edge of network can further propel the integration AI and IIoT. Thus, this special issue aims to solicit original papers with novel contributions on the AI for advance IIoT, Novel applications by the AI for IIoT are particularly welcome. Topics of this special issue include, but are not limited to: l New architecture and framework of AI in IIoT l AI-enabled SDN network technologies in IIoT l AI algorithms for signal detection and synchronization in IIoT l AI algorithms for localization, positioning and tracking techniques in IIoT l AI-enabled fault diagnosis and prognostic management in IIoT l AI for smart maintenance, upgrades, and management using IIoT l Intelligent robots based on integration of AI and IIoT l Edge computing based on integration of AI and IIoT l Other concepts and applications related to AI in IIoT Instructions for Manuscripts Selected Manuscripts must be prepared according to the standards for submission to the Journal of Internet Technology; see instructions for Authors in: https://jit.ndhu.edu.tw/about/submissions#authorGuidelines The sample format can be downloaded from https://jit.ndhu.edu.tw/about/submissions#authorGuidelines Manuscripts must also be uploaded through the electronic submission system: https://mc04.manuscriptcentral.com/internet-tech Please specify that the manuscript is for the “Advanced Artificial Intelligence for Industrial Internet of Things” special issue. Important Dates: Manuscripts submission deadline: Aug. 15, 2019 Notification of Acceptance/Rejection/Revision: Sep. 10, 2019 2nd round check: Oct. 10, 2019 Final Manuscripts Due: Nov. 30, 2019 (Tentative) Tentative Publication Date: Fourth Quarter in 2020 Guest Editors: Jiafu Wan School of Mechanical & Automotive Engineering South China University of Technology, China jiafuwan_76@163.com; jiafu_wan@ieee.org Jianqi Liu School of Automation, Guangdong University of Technology, China liujianqi@ieee.org Ling Xia Liao School of Electronic Information & Automation, Guilin University of Aerospace Technology, China Liaolx@ieee.org
Special Issue: Selected manuscripts from “IEEE International Conference on Consumer Electronics – Taiwan, 2019”
Theme and Scope The next generation communication and netwok technologies, such as 5G and SDN, continue to emerge to support massive users connectivity and multigigabits downloading speeds. These new communication technologies are required to support ultra-reliable and low-latency communications. Moreover, to cope with advances of machine learning (ML), artificial intelligence (AI) technologies are raging around the world, especially deep learning (DL), and this trend has proved the values of these technologies in a wide range of applications. The development further reveals that AI technologies will combine with sensors so that traditional sensors can be more intelligent to respond differently to different needs This special issue will provide a systematic overview and state-of-the-art research in Next Generation Communications and Computer Networks, Intelligence Sensors and Machine Learning Technology, with a special focus on 5G, Intelligence Sensors and Artificial Intelligence technologies, and will outline new developments in fundamental, approaches, methodologies, software systems, and applications in these areas. Submissions should consist of novel ideas, original results, theoretical and applied research in following topics, but not limited to: -Sampling and Pre-processing for Big Data -Computing on Network Edge -Modeling and Algorithms for Big Data Analytics and Data Mining -Knowledge Mining from Big data -Internet of Things (IoT) -Mobile Computing -Network Security -Big Data in Sensory Systems -Green Solutions for Communications Technologies -Signal processing and application -Image and video processing -Speech and Video Processing -Natural Language Processing -Vision and Speech Perception -Music Modelling, Classification and Streaming -Data Mining and Web Mining Algorithms -Consumer Electronic Industrial and Scientific Applications -Social Sciences Instructions for Manuscripts Each paper, written in English, should be presented within an 8,000 word limit, including reference and illustrations. Authors are requested to carefully read the Author Guidelines prior to submission (https://jit.ndhu.edu.tw/about/submissions#authorGuidelines). Prospective authors should submit an electronic copy of their complete manuscript through the Journal Manuscript Tracking System (https://mc04.manuscriptcentral.com/internet-tech). When submitting papers, authors should specify that the manuscript is for Special Issue on “IEEE International Conference on Consumer Electronics – Taiwan, 2019”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines.Please visit our website: http://jit.ndhu.edu.tw for more information. Important dates Manuscript Submission Deadline: July 31, 2019 Notification of Acceptance/Rejection/Revision: September 30, 2019 Revise Manuscript Due: October 31, 2019 Final Manuscript Due: November 30, 2019 Tentative Publication Date: the 4th Quarter in 2020 Guest Editors Prof. Tin-Yu Wu Department of Computer Science and Information Engineering, National Ilan University, Taiwan E-mail: tyw@niu.edu.tw Prof. Ming-Fong Tsai Department of Electronic Engineering, National United University, Taiwan E-mail: mftsai@nuu.edu.tw
Special Issue: “The 9th International Conference on Electronics, Communications and Networks (CECNet 2019)”
Theme and Scope Rapid development of electronic and information technology in the past decades brings dramatic changes to the way people think and live. From traditional telecommunication networks to the most up-to-date 5G mobile communication network, the endless progress of communication technology has greatly boosted information exchange and transmission, and thus extends and strengthens the connections between different parts of the world. Meanwhile, recent development of computer science and technology provides more advanced and powerful tools to handle the explosively growing data and information. This special issue aims to provide a platform for excellent papers and outstanding researches from CECNet 2019. Selected papers should be substantially extended at least 40% compared to its conference version. Topics of interest include but not limited to: Internet and Internet of Thing Information Theory and Coding Signal and Image Processing Satellite,Space and Wireless Communications Wireless and Mobile Networking Data Mining, Machine Learning and Deep Learning Mobile Computing Systems Computer Security and Privacy Computer Networks and Data Communications Wireless Sensor Networks Design, Analysis and Tools for Integrated Circuits and Systems Wireless Systems on Industry 4.0 Frequency Management on Wireless Sensor Networks Instructions for Manuscripts Selected papers from “The 9th International Conference on Electronics, Communications and Networks (CECNet 2019)” Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw . Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech. When submitting papers, authors should specify that the manuscript is for Special Issue on “The 9th International Conference on Electronics, Communications and Networks (CECNet 2019)”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Important dates Manuscript Submission Deadline: September 30, 2019 Notification of Acceptance/Rejection/Revision: December 31, 2019 Revised Manuscript Due: March 31, 2020 Final Manuscript Due: May 30, 2020 Tentative Publication Date: the 4th Quarter in 2020 Guest Editors Dr. Xiang Li School of Electronic Engineering and Automation, Guilin University of Electronic Technology, China Email: xli1984@hotmail.com Dr Eduardo Alvarez-Guzman Chemical Sciences and Engineering Faculty. Universidad Autónoma de Baja California, Mexico Email ed_alvareg13@uabc.edu.mx Dr. Ozlem Boydak Mechanical Engineering Department, Istanbul Medeniyet University, Turkey Email: ozlem.boydak@medeniyet.edu.tr
Special Issue: Edge Computing – The New Frontier of IoT and 5G Applications
The Internet of Things (IoT) has grown explosively in recent years. Ranging from sensors to smart phones, these devices record the status of the environment and behaviors of livings. The big data generated by these devices and then gathered together via the Internet support a new way for people to understand our world. We learn more about so many things than in the old days. Data-driven decision-making systems are significantly improved. In many scenarios, new IoT innovative applications have been emerged and piece-by-piece changed our daily lives, e.g., smart city, smart building, intelligent transportation, location-based services, vehicle networks, and industry 4.0. Meanwhile, the wide range of IoT applications issues many scientific, engineering, and social challenges, including IT infrastructure, hardware architecture, network design, software framework, communication protocol, data (pre)processing in devices, data communication in the network, data storage/processing/analysis in data center, scenario modeling and visualization, security of device/network/system, implementation practice, hybrid system integration, reliability, availability, privacy, social justice/fairness, and so on. The special issue solicits recent advances in IoT technology and applications. This issue aims to collect contributions made by leading-edge researchers from academia and industry to demonstrate how IoT-enabled intelligent service are created, integration of IoT and other hybrid systems, experience sharing and discussions regarding assessment, planning, and utilization of IoT technology, and so on. Theoretical analysis, technology development, experiment results, and non-technological discussions to this rapidly evolving and growing area are all welcome. Hence, this issue invites papers to the following topics, but never exclusive: Topics IoT Frameworks Communications of IoT IoT and Big Data IoT and AI IoT Security and Privacy IoT Applications IoT Standards IoT Practices Case Studies Important dates l Submission due: 31 July, 2019 l Notification of final acceptance: 31 October, 2019 l Final papers: Q4 2019 or Q1 2020 Submission Submissions to the special issue will be screened by the Special Issue Editor to insure that they conform to the quality standards of Journal of Internet Technology. Papers that do not pass this initial screening will be immediately returned to the authors. Reviewers will apply those standards in forming recommendations for acceptance, revision, or rejection. A maximum of two revisions will be invited. Papers should be formatted with Journal of Internet Technology style (https://jit.ndhu.edu.tw/about/submissions#authorGuidelines). The submission deadline is 31 July, 2019. The prospective contributors should submit their papers directly to the online submission system (https://mc04.manuscriptcentral.com/internet-tech). In addition, Authors please note the Special Issue (Edge Computing – The New Frontier of IoT and 5G Applications). Guest Editors Mu-Yen Chen, Ph.D. Department of Information Management National Taichung University of Science and Technology, Taiwan E-mail: mychen@nutc.edu.tw Jeng-Wei Lin, Ph.D. Department of Information Management Tunghai University, Taiwan E-mail: jwlin@thu.edu.tw Chin-Feng Lai. Ph.D Department of Engineering Science National Cheng Kung University, Taiwan E-mail: cinfon@ieee.org
Special Issue: “14th EAI International Conference on Communications and Networking in China (Chinacom 2019)”
Theme and Scope The recently emerged new computing paradigms, such as Edge / Fog computing, try to distribute services away from centralized data centers by exploiting the concept of cloudlets. To satisfy the ever-increasing demand for cloud services from emerging applications such as Internet-of-Things (IoT) and Blockchains, researchers are encouraged to use services located at the edge of the network rather than large-centralized cloud services. While the Edge / Fog services that are utilized to offload computation are usually closer to a user compared with the centralized cloud services. Edge / Fog computing, on one hand, brings services closer to users, on the other hand, requires extension to current service computing models. And the use of edge and fog computing paradigms brings additional difficulties and challenges in terms of resource allocation, performance optimization, energy cost, link switch, and so on. Moreover, the use of these new computing paradigms also brings additional challenges in security and privacy issues. Therefore, it becomes a necessity to integrate the Edge / Fog computing techniques into the traditional service computing paradigm. This special issue will provide a systematic overview and state-of-the-art research in Internet Technology, Computing, IoT and Computer Engineering Technology, with a special focus on Edge / Fog computing and Blockchain technologies, and will outline new developments in fundamental, approaches, methodologies, software systems, and applications in these areas. Submissions should consist of novel ideas, original results, theoretical and applied research in following topics, but not limited to: Service discovery and recommendation in Edge / Fog Scheduling of Edge / Fog services Security and privacy issues in Edge / Fog computing Resource planning, monitoring, management in Edge / Fog Energy-efficient models in Edge / Fog environment Link switch in Edge / Fog computing Light-weight service-oriented applications for Cyber-Physical System Context (e.g., time, location…)-aware Edge / Fog applications Underlying technologies associated with big data, IoT and Blockchain Any other related topics Instructions for Manuscripts Selected Manuscripts from “14th EAI International Conference on Communications and Networking in China (Chinacom 2019)” Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/ . Before submission authors should carefully read over the journal’s Author Guidelines, which are located at https://jit.ndhu.edu.tw/about/submissions#authorGuidelines Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech . When submitting papers, authors should specify that the manuscript is for Special Issue on “14th EAI International Conference on Communications and Networking in China (Chinacom 2019)”. The manuscript template can be found at https://jit.ndhu.edu.tw/about/submissions#authorGuideline. Important dates Manuscript Submission Deadline: July 15, 2020 Notification of Acceptance/Rejection/Revision: September 20, 2020 Revise Manuscript Due: October 20, 2020 Final Manuscript Due: November 20, 2020 Tentative Publication Date: 4th Quarter, 2020 Guest Editors Prof. Honghao Gao Shanghai University, China Email:gaohonghao@shu.edu.cn Prof. Yuyu Yin Hangzhou Dianzi University, China Email:yinyuyu@hdu.edu.cn Dr. Ankang Liu University of Southern California, USA Email: ankangli@usc.edu
Special Issue: “Emerging Techniques and Applications for 5G Networks and IoT Systems”
Themes and Scopes During the past decades, technologies of mobile Internet, wireless communication and Internet of Things (IoTs) have been dramatically growing. Different kinds of high-tech products are released to the market, consequentially leading us to a new living style. Applications of these technologies such as self-driving vehicles, healthcare monitoring, and live shows are quickly developed everywhere in the world. But these technologies are not completely perfect and mature. Related research has been conducted worldwide. They also pose a much higher security risk than the WiFi and 2G/3G/4G networks did. For example, in 5G networks, different network slices may share the same computer and network resources. Due to security reason, how to isolate tasks that belong to different network slices. When data sent by these tasks go through the same serving gateway, how to individually isolate one’s traffic from others’. Otherwise, data leakage will be serious. Also, when a self-driving car is hacked, it will endanger passengers and roadside people. To safely protect and friendly serve users of these systems, new techniques are required and need to be emergently developed. Big data analysis, deep learning and some other AI techniques are considered the best approaches to discover new knowledge and methods for problem solving. Of course, if these techniques are applied to uncover and detect malicious behaviors coming from Internet, the accuracy will be higher than before. Perhaps, new attacks can also be found. For achieving network slicing, NFV and SDN, OS functions, like process management and scheduling, memory partition, inter-process communication, RPC/RMI and file system have to be modified to make sure tasks of a network slice and virtualized functions can be performed based on ACID principles. On the other hand, the 13th International Conference on Broad-Band Wireless Computing, Communication and Applications and the 13th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (BWCCA 2018 & 3PGCIC 2018) will be held in Taichung, Taiwan on 27-29 July, 2018. They provide a forum for academic and industrial researchers to exchange ideas and experience, and explore new research directions, particularly for studying challenges and solutions of the mentioned systems. The main goal of this special issue is to provide an opportunity for all practitioners to contribute with their original research and review papers. Outstanding papers will be selected from those accepted by and presented in BWCCA 2018 & 3PGCIC 2018. Each selected paper ought to be substantially extended, with at least 40% of difference from its conference version. This special issue on "Emerging Techniques and Applications for 5G Networks and IoT Systems" is estimated to be published in Second Quarter in 2020. Topics of this special issue include, but are not limited to: - 5G network techniques, including * Resources Assignment and Management in 5G * Resource Partition and Monitoring in 5G * Task isolation and Communication for Network Slicing * Synchronization Techniques for Network Slicing * Deadlock Management for Network Slicing * Other New 5G and B5G Techniques - IoTs and Applications, including * Light-weight Ciphering/Deciphering * Edge-computing for IoT data * New Applications of Edge Computing * Privacy of IoTs Data * Different Smart Sensing Techniques, Protocols and Applications -Security Issues * Attacks on Network Slices * Cross-layer Security in a Virtualized Network * Virus Infection on Virtualized Network Entities * Authentication on Untrusted Network Handover * Security Migration and Other Function Migration for Mobile Nodes * Other New Security Vulnerabilities and Threats Instructions for Manuscripts Selected Manuscripts must be prepared according to the standards for submission to the Journal of Internet Technology; see instruction for Authors in: http://jit.ndhu.edu.tw/ojs/index.php/jit/about/submissions#authorGuidelines The sample format can be downloaded from http://jit.ndhu.edu.tw/ojs/index.php/jit/about/submissions#authorGuidelines Manuscripts must also be uploaded through the electronic submission system: https://mc04.manuscriptcentral.com/internet-tech Please specify that the manuscript is for the “Emerging Techniques and Applications for 5G Networks and IoT Systems” special issue. Important Dates Manuscript submission deadline: January 20, 2019 Notification of Acceptance/Rejection/Revision: February 15, 2019 2nd round check: March 31, 2019 Final Manuscript Due: May 15, 2019 (Tentative) Tentative Publication Date: Second Quarter in 2020 Guest Editors Fang-Yie Leu Department of Computer Science, Tunghai University, Taiwan leufy@thu.edu.tw Leonard Barolli Department of Information and Communication Engineering Fukuoka Institute of Technology (FIT), Japan barolli@fit.ac.jp Francesco Palmieri Computer Science Department, University of Salerno, Italy fpalmier@unina.it Hsing-Chung Chen Computer Science and Information Engineering, Asia University, Taiwan China Medical University Hospital, China Medical University, Taiwan cdma2000@asia.edu.tw, shin8409@ms6.hinet.net
Special Issue: Selected Papers from “2018 International Conference on Computational Intelligence and Computing Research (ICCIC)”
Special Issue on Selected Papers from “2018 International Conference on Computational Intelligence and Computing Research (ICCIC)” Special Issue : Mobile, Hybrid and heterogeneous networks for cyber physical systems Theme and Scope With the expanding accessibility of mobile phones and information produced by individuals, logical instruments and reproductions, today, comprehending huge numbers of our most critical logical and designing issues requires intense arrangements giving the entire anchor to process information and administrations from the versatile clients to the cloud infrastructure, which should likewise incorporate heterogeneous clouds to give accessibility, adaptability, and data privacy. These arrangements are increasingly essential with the expanding cooperative energies between cloud computing and information concentrated applications, which require cyber physical systems that must be ground-breaking in a wide sense to fulfil the administrations and information preparing prerequisites from a huge number of clients, however in the meantime need to give strong network and adaptivity utilities to cope with near future mobile applications. This special issue also aims to foster a research community committed to advancing research and education at the confluence of mobile, hybrid and heterogeneous networks for cyber physical systems Potential topics include but are not limited to the following: -Integration solutions for mobile, hybrid, and heterogeneous clouds cyber physical systems. -Management of massive data using mobile and heterogeneous clouds. -Simulation, emulation, and performance evaluation for real-time cyber physical systems. -Resource management and scheduling in mobile, hybrid, and heterogeneous clouds. -New programming models as well as machine and application abstractions. -Adaptive software for cloud computing and data systems. -Computing and communication models for real-time cyber-physical co-design. -Big Data applications and mobile clouds. -Resource management based on self-awareness in distributed cyber physical systems. -Scalable design and data management of cloud CPS, smart grid CPS, mobile CPS, social CPS. -Data chain integration in mobile, hybrid, and heterogeneous clouds. -Collaborative infrastructures and virtual organizations using mobile clouds. -High-end scientific and engineering computing. -Novel applications of mobile, hybrid, and heterogeneous clouds cyber physical systems. -Lower power heterogeneous computing for distributed cyber physical systems. Instructions for Manuscripts Selected Papers from “2018 International Conference on Computational Intelligence and Computing Research (ICCIC)” Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw . Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://jit.ndhu.edu.tw/ojs/index.php/jit/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech . When submitting papers, authors should specify that the manuscript is for Special Issue on “2018 International Conference on Computational Intelligence and Computing Research (ICCIC)”. The manuscript template can be found at http://jit.ndhu.edu.tw/ojs/index.php/jit/about/submissions#authorGuidelines . Important dates Manuscript Submission Deadline: February 28, 2019 Notification of Acceptance/Rejection/Revision: April 30, 2019 Revise Manuscript Due: May 30, 2019 Final Manuscript Due: June 30, 2019 Tentative Publication Date: the 4th quarter in 2020 Guest Editors M.Karthikeyan ( Managing Guest Editor ) Professor/ Department of CSE Tamilnadu college of engineering Coimbatore, India. Email : karthikeyan@tnce.in Md Zakirul Alam Bhuiyan Associate Professor, Department of Computer and Information Sciences, Fordham University, New York, Email : mbhuiyan3@fordham.edu, Xiong Li Associate Professor/ Information security, Hunan University of Science and Technology, China. Email :lixiong84@gmail.com
Special Issue: Selected papers from “2018 International Conference on Recent Advancements in Computing, IoT and Computer Engineering Technology (CICET18)”
Theme and Scope Recent progress in deep learning has unleashed some of the promise of artificial intelligence, moving it from the realm of toy applications to a powerful tool that can be leveraged across a wide number of industries. In this new era, analytics is becoming a competitive necessity and key for many applications, such as internet technology, mobile applications, web application of social media, Internet of Things (IoT), computing, and computer engineering. There are many challenges of applying/analyzing such technologies, with the most often discussed being growing data volumes, velocity of data, and variety of data which are placing increased demands on industry. Powered by the integration of new technologies/applications in internet technology, computing, IoT and computer engineering, deep learning and artificial intelligence technologies provide fundamentally new insights and opportunities for businesses, industries and academia. Therefore, research in computational technologies, platforms, and tools offers adaptive mechanisms that will provide more efficient and effective solutions to real industrial problems. It is expected that such research will help in the development of policies, strategies, and methodologies as well as the shaping of organizational behaviors towards the adoption of these new technologies. This special issue will provide a systematic overview and state-of-the-art research in Internet Technology, Computing, IoT and Computer Engineering Technology, with a special focus on Deep Learning and Artificial Intelligence technologies, and will outline new developments in fundamental, approaches, methodologies, software systems, and applications in these areas. Submissions should consist of novel ideas, original results, theoretical and applied research in following topics, but not limited to: Intelligent Systems Computational Intelligence Business Intelligence and Business Analytics Internet of Things and Internet Technology Data Mining, Machine Learning and Deep Learning Big Data Modelling and Data Analytics Scientific Computing and Applications Computer and Information Science Computer Graphics, Vision, Animation, and Virtual Reality Computers in Education and Learning Technologies Computer Security and Privacy Computer Networks and Data Communications Wireless Sensor Networks Design, Analysis and Tools for Integrated Circuits and Systems Instructions for Manuscripts Selected papers from “2018 International Conference on Recent Advancements in Computing, IoT and Computer Engineering Technology (CICET18)” Each paper, written in English, the maximum words number in each paper should be below 8,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw . Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://jit.ndhu.edu.tw/ojs/index.php/jit/about/submissions#authorGuidelines. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech . When submitting papers, authors should specify that the manuscript is for Special Issue on “2018 International Conference on Recent Advancements in Computing, IoT and Computer Engineering Technology (CICET18)”. The manuscript template can be found at http://jit.ndhu.edu.tw/ojs/index.php/jit/about/submissions#authorGuidelines . Important dates Manuscript Submission Deadline: December 31, 2018 Notification of Acceptance/Rejection/Revision: March 31, 2019 Revise Manuscript Due: May 31, 2019 Final Manuscript Due: June 30, 2019 Tentative Publication Date: 3rd Quarter, 2020 Guest Editors Prof. Ka Lok Man Department of Computer Science and Software Engineering, Xi’an Jiaotong-Liverpool University, China Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak, Malaysia Email:ka.man@xjtlu.edu.cn Prof. Tomas Krilavičius Baltic Institute of Advanced Technologies, Lithuania Vytautas Magnus University, Lithuania Email:t.krilavicius@bpti.lt Dr. Sangoh Park School of Software, Chung-Ang University, South Korea Email:sopark@cau.ac.kr
Special Issue: "Machine Learning Algorithms for Self-organizing Peer-to-Peer (P2P) Network"
Introduction/Call for Papers In recent years, the internet has been growing rapidly as new services have been implemented in the market every day. However, network traffic generated from the network protocols and applications needs to be categorized which is considered as a critical task in day-to-day network management. Especially, Peer-to-Peer (P2P) network has the largest share of the bandwidth. This large amount of bandwidth has improved the prominence of network traffic engineering. The applications of P2P is growing dramatically, which results in many complex issues such as network congestion and traffic hindrance. More commonly, the effective process of a peer-to-peer network depends on the flexibility of its peer’s communications. However, NATs and traffic filtering have restrict the direct connections between peers on the internet. Modern P2P networks use various methods to solve the issue of restricted connectivity on the Internet. One interesting development is that various overlay networks now support multiple communication protocols to improve resilience and counteract service degradation. On the other hand, various self-reorganization algorithms are recently identified based on the machine learning algorithms to improve the performance, scalability, resilience and reduce the communication cost thereby providing the basis of an efficient neighbor selection scheme for P2P overlays. Moreover, the benefit of reorganization is often lower than the cost incurred in probing and adapting the overlay. Indicative Topics/Areas This special issue focus on various machine learning based self-reorganization algorithms to reduce the network traffic, cost and improve the performance, scalability, resilience in P2P networks. The topics include, but not limited to, the following: Machine learning for resource allocation in P2P networks Machine learning for neighbor selection in P2P networks Machine learning for self-organizing P2P networks Machine learning for processing huge volumes of network-structured data generated from P2P networks Information retrieval algorithms in P2P networks Machine learning for Hybrid P2P communication network Applications of machine learning in P2P networks Machine learning for P2P network security and privacy Machine learning for network traffic management in P2P network Machine learning for mobility management in P2P network Personalized and Private Peer-to-Peer Machine Learning for P2P network Reinforcement Learning for Vulnerability Assessment in P2P Networks. Machine learning for network behavior analysis in P2P network Machine learning for communication overhead calculation in P2P network Important Dates Manuscript submission deadline: February 5, 2019 Notification of Acceptance/Rejection/Revision: May 1, 2019 Submission of final revised paper: June 1, 2019 Publication of special issue (tentative):3rd Quarter, 2020 Submission Manuscripts for a Special Issue should NOT be submitted in duplication to any other Journals. All papers submitted to a Special Issue will undergo the same review process as regular papers. Authors should follow the format of JIT(http://jit.ndhu.edu.tw/ojs/index.php/jit/about/submissions#authorGuidelines) and manuscript should be submitted via online system (https://mc04.manuscriptcentral.com/internet-tech). When submitting papers, authors should specify that the manuscript is for Special Issue on “MLASP2PN 2018”. A copy of the manuscript should also be emailed to the following email: gmanogaran@ucdavis.edu Guest Editors: Dr. Gunasekaran Manogaran is currently working as a Big Data Scientist in University of California, Davis, USA. He received his PhD from the Vellore Institute of Technology University, India. He received his Bachelor of Engineering and Master of Technology from Anna University and Vellore Institute of Technology University respectively. He has worked as a Research Assistant for a project on spatial data mining funded by Indian Council of Medical Research, Government of India. His current research interests include data mining, big data analytics and soft computing. He is the author/co-author of papers in conferences, book chapters and journals. He got an award for young investigator from India and Southeast Asia by Bill and Melinda Gates Foundation, USA. He is a member of International Society for Infectious Diseases and Machine Intelligence Research labs. He is on the reviewer board of several international journals and has been a member of the program committee for several international/national conferences and workshops. He currently serves on Technical Program Committee for 2018 IEEE International Conference on Consumer Electronics (ICCE) in Las Vegas, USA. He is the guest editor for various international journals including IEEE, Springer, Elsevier, Inderscience, IGI, Taylor&Francis and Emerald publishing. He is a Co-Investigator for the project entitled “Agent Based Modeling of HIV epidemic in state of Telangana, India” funded by Pitt Public Health, Pittsburgh University, USA. Dr. Naveen Chilamkurti is the Editor-in-Chief for International Journal of Wireless Networks and Broadband Technologies, IGI Global. He is currently working as a Senior Lecturer at Department of Computer Science and Computer Engineering, La Trobe University, Australia. He received his PhD from La Trobe University. He has published about 125 journal and conference papers. His current research areas include intelligent transport systems (ITS), wireless multimedia, wireless sensor networks, vehicle to infrastructure, vehicle to vehicle communications, health informatics, mobile communications, WiMAX, mobile security, mobile handover, and RFID. He currently serves on editorial boards of several international journals. He is a senior member of IEEE. He is also an Associate Editor for Wiley IJCS, SCN, Inderscience JETWI, and IJIPT. Dr. Ching-Hsien Hsu is the Editor-in-Chief of International Journal of Grid and High Performance Computing and International Journal of Big Data Intelligence. He is a professor and the chairman in the CSIE department at National Chung Cheng University, Taiwan; He was distinguished chair professor at Tianjin University of Technology, China, during 2012-2016. His research includes high performance computing, cloud computing, parallel and distributed systems, big data analytics, ubiquitous/pervasive computing and intelligence. He has published 100 papers in top journals such as IEEE TPDS, IEEE TSC, IEEE TCC, IEEE TETC, IEEE System, IEEE Network, ACM TOMM and book chapters in these areas. Dr. Hsu is serving as editorial board for a number of prestigious journals, including IEEE TSC, IEEE TCC. He has been acting as an author/co-author or an editor/co-editor of 10 books from Elsevier, Springer, IGI Global, World Scientific and McGraw-Hill. Dr. Hsu was awarded nine times distinguished award for excellence in research from Chung Hua University. He is vice chair of IEEE TCCLD, executive committee of IEEE TCSC, Taiwan Association of Cloud Computing and an IEEE senior member.
Special Issue: Selected papers from “2018 International Conference on Innovation, Communication and Engineering (ICICE 2018)”
THEME Engineering and Design Innovations are both academic and practical engineering fields that involve systematic technological materialization through scientific principles and engineering designs. Technological innovation by Electrical/Mechanical Engineering includes Information Technology (IT)-based Intelligent Electrical/Mechanical Systems, Electronics, Mechanics, Human-Computer Interaction (HCI) and Design Innovations. IT-based Intelligent Systems, which implant intelligence to systems, is an interdisciplinary area combining conventional electrical/mechanical technology and new information technology. The main goal of this special collection is to publish selected papers from “2018 International Conference on Innovation, Communication and Engineering (ICICE 2018)”. The ultimate aim is to discover new scientific knowledge relevant to IT-based Intelligent Electrical/Mechanical Systems, Mechanics, Human-Computer Interaction (HCI) and Design Innovations. We invite investigators interested in systems design innovations to contribute their original research articles to this special collection. The potential topics include (but are not limited to): • Multimedia systems • Network Operating System (NOS) • Smart electromechanical system analysis and design • Computer-aided methods for mechanical design procedure and manufacture. • Internet Technology on mechanical system innovation. • Various computational topics of methodologies and procedures of design. • Machine diagnostics & reliability • Smart Sensors, actuators, and materials • Intelligent mechanical manufacturing system • Human-Computer Interaction (HCI). • Virtual, Augmented and Mixed Reality • Cross-Cultural Design • Social Computing and Social Media • Design, User Experience and Usability • Learning and Collaboration Technologies • Augmented Cognition • HCI in Games • HCI for Cybersecurity, privacy and Trust • Human Aspects of IT for the Aged Population • Distributed, Ambient and Pervasive Interactions • Universal Access in HCI • Human Interface and Management of Information Instructions for Manuscripts Each paper, written in English, should be no more than 5,000 words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw/ojs/index.php/jit/about/submissions#onlineSubmissions . All submitted papers will be reviewed by at least three reviewers and selected based on their originality, significance, relevance, and clarity of presentation. The covering letter should indicate the names of the authors and their affiliations, addresses, faxes, and e-mails. Important Dates for Manuscripts Manuscript Deadline: December 31, 2018 First Round of Reviews: March 31, 2019 Second Round of Reviews: April 30, 2019 Tentative Publication Date: May 31, 2020 Guest Editors Prof. Siu-Tsen Shen, National Formosa University, Taiwan Email: stshen@nfu.edu.tw Prof. Sheng-Joue Young, National Formosa University, Taiwan Email: youngsj@nfu.edu.tw Prof. Artde Donald Kin-Tak Lam, Fujian University of Technology, China Email: artde.lam@qq.com Prof. Hao-Ying Lu, National Quemoy University, Taiwan Email: hylu@nqu.edu.tw Prof. Liang-Wen Ji, National Formosa University, Taiwan Email: lwji@nfu.edu.tw
Special Issue: Selected Papers from “COMPUTATIONAL APPROACHES IN CLOUD BASED IoT”.
THEME Internet of things is the direct network communication to the object without the help of the human to computer and human to human interaction systems. This will be performed in a smart way based on the machine to machine communication system. Cloud computing is a service which offers the storage on the internet. The cloud-based IoT consists of three models namely things, gateway and cloud network. Things referred to as the object and it makes the machine to machine communication. Network gateway uses the open source platform to work the performance and the most important applications are android, arduino and raspberry pi. This will be connected between the things and cloud computing. Network gateway connected through the sensor and network interfaces for more real-time applications. Usage of internet is increasing around the world and it produces the big data analytics. Storing the data requires cloud computing technology. Computational approaches included in the cloud-based IoT are the machine to machine communication, big data, cloud storage, data analytics and priority action. It is embedded with electronic equipment’s, sensors, and computer software and internet connection. The applications included in the computational approaches in cloud-based IoT are healthcare applications, data acquisition and agricultural applications. The convergence of IoT and cloud computing is used for data collection and file sharing approaches. IoT is referred to as boss and cloud computing is referred to as the company. This cloud computing based IoT performed in two ways such as high-performance computing and high throughput computing. The combination of high performance and high throughput computing produces the parallelism distributed computing. The parameters included for performance analysis such as throughput, efficiency, reliability and scalability used to perform in future for huge demand computing. This special issue aims to gather latest research and development achievements in recent trends in computational approaches in cloud-based IoT and to promote their applications in all important research fields. CALL FOR PAPERS * Advanced network infrastructure for the future Internet * Research advances in data resilience in the wireless network * Future networking perspective of wireless communication * Advanced network solutions for the future of internet of things * Application of big data, resilience and smart cities * Sustainable informatics in mobile learning approach * Big data applications in smart cities * Advanced intelligent computing applications for cloud-based IoT * Sustainable decision making in soft computing applications * Network estimation and processing techniques * IoT Device and Network Domain Technologies * User-Oriented, Context-Aware IoT Services * Network Based Applications * Next Generation Web architecture * Multimedia QoS and traffic management AUTHOR GUIDELINES Selected Papers from The special issue on “COMPUTATIONAL APPROACHES IN CLOUD BASED IoT”. The submitted papers must be written in English and describe original research which is not published nor currently under review by other journals or conferences. Author guidelines for preparation of manuscript can be found at http://jit.ndhu.edu.tw/ojs/index.php/jit/information/authors. Manuscripts must also be uploaded through the electronic submission system: https://mc04.manuscriptcentral.com/internet-tech. Please specify that the manuscript is for Special Issue on “COMPUTATIONAL APPROACHES IN CLOUD BASED IoT”. IMPORTANT DATES Manuscript submission deadline: 10th August 2018 Notification of Acceptance/Rejection/Revision: 10th January 2019 Final Manuscript Due: 10th April 2019 Tentative Publication Date: Second Quarter in 2020 GUEST EDITORS 1. Dr. G. Ranganathan, Principal in Engineering Academics, Tamil Nadu, India. Emailid: profranganathang@gmail.com 2. Dr. Robert Bestak, Professor, Czech Technical University in Prague, Czech Republic {robert.bestak@fel.cvut.cz} 3. Dr. Chow Chee Onn, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia. Email: cochow@um.edu.my
Special Issue: Selected papers from "The 2018 IEEE Conference on Dependable and Secure Computing (DSC 2018)"
The IEEE Conference on Dependable and Secure Computing (DSC) solicits papers, posters, practices, and experiences for presenting innovative research results, problem solutions, and new challenges in the field of dependable and secure computing. The whole spectrum of IT systems and application areas, including hardware design and software systems, with stringent relevant to dependability and security concerns are of interest to DSC. This year, the 2018 IEEE Conference on Dependable and Secure Computing (DSC 2018) will be held in Kaohsiung, Taiwan on 10-13 December, 2018. The aim of DSC 2018 is to provide a leading edge forum to foster interaction between researchers and developers with the network and system security communities, and to give attendees an opportunity to interact with experts in academia, industry, and governments. More information about the conference can be found at its website http://dsc2018.nsysu.edu.tw/. The main goal of this special issue is to publish outstanding researches from IEEE DSC 2018. We plan to select the papers relevant to dependable and secure computing from the accepted papers based on the reviews (comments and scores) and the presentations during the conferences. Each selected paper must be substantially extended, with at least 40% difference from its conference version. Topics of interest include but are not limited to: -Advanced Persistent Threat (APT) -Network Attack and Defense Techniques -Botnet and Intrusion Detection -Cryptographic Methods and Toolkits -Cyber attacks -Software Vulnerabilities and Security -Database Security and Privacy -Embedded Systems and IoT Devices -Mobile and Cloud Computing Security -AI and Big Data Analysis for Security -Malware Mutation -Deep Learning for Attack and Defense -Block Chain and Finance Security -Security Hardware and Circuits -Authentication and Authorization -Soft-Error Analysis and Models -CAD Algorithms and Tools -Electronic Circuits and Syetms -Fault-Tolerance and Reliability -Industrial Design Experiences -Noise- and Power-Aware Designs -Stochastic Circuits and Systems -Temperature-Aware Designs -Variable-Latency Designs Instructions for Manuscripts Each paper, written in English, should be no more than 5000 words, including references and illustrations. More information can be found at https://jit.ndhu.edu.tw/about/submissions#onlineSubmissions. All submitted papers will be reviewed by at least three reviewers and selected based on their originality, significance, relevance, and clarity of presentation. The covering letter should indicate the names of the authors and their affiliations, addresses, faxes, and e-mails. Important Dates Manuscript submission deadline: April 01, 2019 Notification of Acceptance/ Rejection/ Revision:May 31, 2019 Final Manuscript Due: June 30, 2019 Tentative Publication Date: First Quarter in 2020 Guest Editors Prof. Chun-I Fan National Sun Yat-sen University, Taiwan E-mail:cifan@cse.nsysu.edu.tw Prof. Chih-Hung Wang National Chia Yi University, Taiwan E-mail: wangch@mail.ncyu.edu.tw Prof. Omote Kazumasa University of Tsukuba, Japan E-mail: omote@risk.tsukuba.ac.jp Prof. Chunhua Su University of Aizu, Japan E-mail: chsu@u-aizu.ac.jp Prof. Kuo-Hui Yeh National Dong Hwa University, Taiwan E-mail: khyeh@gms.ndhu.edu.tw
Special Issue: “International Conference on the Development and Application of Big Data and Enterprise Resource Management, 2018 (ICBDERM)”
Theme and Scope The International Conference on the Development and Application of Big Data and Enterprise Resource Management, 2018 (ICBDERM) solicits papers, practices, and experiences for presenting innovative applications, research results, problem solutions, and new challenges in the field of big data and enterprise resource management. This year, ICBDERM is held at National Dong Hwa University, Hualien, Taiwan, on 17 March, 2018. The aim of ICBDERM is to serve as an academic forum for reporting recent advances on development and application of big data and enterprise resource management research, and to give attendees an opportunity to interact with experts in academia, industry, and governments. More information about the conference can be found at its website http://conf.cerps.org.tw/. The main goal of this special issue is to publish outstanding researches from ICBDERM. We plan to select the papers relevant to big data and enterprise resource management from the accepted papers based on the reviews (comments and scores) and the presentations during the conferences. Each selected paper must be substantially extended, with at least 40% difference from its conference version. Topics of interest include but are not limited to: - Big Data analysis, Data Mining and Application - Strategies of E-business, Integration of Business Strategy and Information Technology - Business Process Planning, Integration and Restructuring, Organizational Reform and Integration Management - Knowledge Management and Innovation - E-commerce and Other Developments and Applications of E-business - The development of E-finance and IFRS - Cloud Computing - Other E-business Topics Instructions for Manuscripts Each paper, written in English, should be no more than 5000 Words, including references and illustrations. More information can be found at http://jit.niu.edu.tw/ojs/index.php/jit/about/submissions#authorGuidelines. All submitted papers will be reviewed and selected based on their originality, significance, relevance, and clarity of presentation. The covering letter should indicate the names of the authors and their affiliations, addresses, faxes, and e-mails. Important Dates Manuscript submission deadline: April 10, 2018 Notification of Acceptance/Rejection/Revision: June 10, 2018 Final Manuscript Due: July 31, 2019 Tentative Publication Date: First Quarter in 2020 Guest Editors Ping-Yu Hsu National Central University, Taiwan E-mail: pyhsu@ncu.edu.tw Chih-Chin Liang National Formosa University, Taiwan E-mail: chihchin@nfu.edu.tw Kuo-Hui Yeh National Dong Hwa University, Taiwan. E-mail: khyeh@gms.ndhu.edu.tw
Special Issue: Cyber Security and Cloud Computing
Theme and Scope With the development of computer and internet technology, the field of cyber security is of growing importance due to the increasing reliance on computer systems and the Internet, wireless networks such as Bluetooth and Wi-Fi, the growth of "smart" devices, including smartphones, televisions and tiny devices as part of the Internet of Things. At present, the research of cyber security has been gradually expanded from the entity authentication, secure data transmission, secure data sharing and so on. To address security threats to network infrastructure devices and sensitive data, many different solutions capable of providing a suitable degree of security have been proposed. However, such solutions have not been properly designed to address important aspects such as computational costs, scalability, energy efficiency and resource usage. In addition, cloud computing has been highly deployed in cyberspace. Not only efficiently playing the role of storing data, but also ensuring the secure data sharing. How to protect the data in the cloud is an urgent problem to be solved. We solicit original contributions on novel threats, defenses and security, information, tools, and applications in cloud-based cyberspace. We also seek contributions motivated by taking real-world security and deployment problems and theoretical works that have clear intention for practical applications in cyberspace. To meet the requirements of data security in the complex and changeable cyber space, the innovation of data processing technology and data security protection schemes should be efficient and safe. This special issue seeks to bring researchers, scholars and participators in cyber security and cloud information security area to address challenges and present effective solutions over cyberspace. Topics include but are not limited to: Secure data transmission frameworks for cyberspace Security, privacy, and fault tolerance in cyberspace and cloud computing Intelligent cyberspace technologies Methods and systems for data analytics in cyberspace and cloud computing Data security issues and solutions in cloud-based cyberspace Secure data transmission on information sharing Lightweight security tools for devices in cyberspace Energy efficient models of large scale security applications Efficient information sharing and data protection in cyberspace Instructions for Manuscripts Submitted articles must not have been previously published or currently submitted for journal publication elsewhere. Submissions must be directly sent via email to Leading Guest Editor Xiaofeng Chen: xfchen@xidian.edu.cn. All submitted papers must conform to the layout and format guidelines of JIT. Important Dates Manuscript submission Due: 10th, May, 2018 Notification of Acceptance/Rejection/Revision: 10th, July, 2018 Final Manuscript Due: 31st, August, 2018 Tentative Publication Date: First Quarter in 2020 Guest Editors Prof. Xiaofeng Chen (Leading GE) State Key Laboratory of Integrated Service Networks, Xidian University, China E-mail: xfchen@xidian.edu.cn Prof. Xinyi Huang School of Mathematics and Computer Science, Fujian Normal University, China E-mail: xyhuang81@gmail.com Prof. Chin-Feng Lai Department of Engineering Science, National Cheng Kung University, Taiwan E-mail: cinfon@ieee.org Prof. Jian Shen School of Computer and Software, Nanjing University of Information Science & Technology, China E-mail: s_shenjian@126.com
Special Issue: Selected papers from IoTaas 2017
Theme and Scope The era of smart homes and cities through the Internet of Things (IoT) has arrived, but it has been challenging to make the IoT with intelligence to achieve various IoT applications. A key question is how we make the most of IoT for all stakeholders, including platform providers, IoT application developers, end-users, large and small organizations (such as city councils, enterprises) that wish to provide better services, and manufacturers of smart devices. The amount of smart devices immersed in everyday life, from manufacturing to clothing, is growing every day in terms of power, processing and network connectivity. The sheer size and variety of contextual data that they produce, along with the actions they can take on their environment, is enormous. It remains to be answered how all this potential will come to bear; The 3rd EAI International Conference on IoT as a Service (IoTaas 2017) will be held in Taichung, Taiwan on 20-21 September, 2017. It brought together the academic and industrial researchers working on different aspects to exchange ideas, and explore new research directions for addressing the challenges in IoT as a Service. The main goal of this special issue is to provide an opportunity for researchers and practitioners to contribute with original research and review articles. It will publish outstanding papers selected from those accepted by and presented in IoTaas 2017. Each selected paper must be substantially extended, with at least 40% of difference from its conference version. The special issue on "IoTaas 2017" is estimated to be published in the 3rd or 4th Quarter of 2019. Topics appropriate for this special issue include, but are not limited to: -Cloud computing and big data techniques and applications for the IoT -Data mining applications for the IoT -Soft computing techniques and applications for the IoT -Metaheuristic algorithms for the IoT and M2M -IoT on energy management -Green mechanisms for the IoT -Data communication, computing, fusion techniques for the IoT -Quality of service enhancement methods for the IoT -Integrated framework of sensor networks, cloud computing, and big data for the IoT -Mobile computing and sensing techniques and applications for the IoT and M2M -Intelligent network technologies for the IoT -Network performance metrics for the IoT -Formulating laws and regulations for IoT services and applications -Applications of the IoT, such as eHealth, energy, industry and ambient assisted living -Smart objects as a service -Semantic Web technologies for IoT: registry, storage -Federated IoT support -Non Functional Requirements (NFR) for IoT - security, scalability, responsiveness and more -Protocols and standardization of the IoT -IoT context based analytics -Mobile First IoT: mobile backend as a service (MBaaS) and Smartphone as data prosuners -IoT in industry Instructions for Manuscripts This special issue aims to foster state-of-the-art research in the IoT. The submitted papers must be written in English and describe original research which is not published nor currently under review by other journals or conferences. Author guidelines for preparation of manuscript can be found at http://jit.ndhu.edu.tw/ojs/index.php/jit/information/authors. Manuscripts must also be uploaded through the electronic submission system: https://mc04.manuscriptcentral.com/internet-tech. Please specify that the manuscript is for the IoTaas 2017 special issue. Important Dates Manuscript Due: December 15, 2017 Notification of Acceptance/Rejection/Revision: March 31, 2018 Revise Manuscript Due: April 30, 2018 Final Manuscript Due: May 31, 2018 Tentative Publication Date: 3rd or 4th Quarter, 2019 (Tentative) Guest Editors Prof. Der-Jiunn Deng Department of Computer Science and Information Engineering, National Changhua University of Education, Taiwan, Email: djdeng@cc.ncue.edu.tw Prof. Yi-Bing Lin Department of Computer Science National Chiao Tung University, Taiwan, Email: liny@cs.nctu.edu.tw Prof. Mohammed Atiquzzaman School of Computer Science, University of Oklahoma, U.S.A., Email: atiq@ou.edu
Special Issue: “Based Cooperative Communications and Mechanisms for Wireless Sensor Networks”
Theme and Scope Wireless sensor networks (WSNs) are composed of sensor nodes and sinks. Sensor nodes have the capability of self-healing and self-organizing. They are decentralized and distributed in nature where communication takes place via multi-hop intermediate nodes. The main objective of a sensor node is to collect information from its surrounding environment and transmit it to the sink. WSNs have many applications and are used in scenarios such as detecting climate change, monitoring environments and habitats, and various other surveillance and military applications. Mostly sensor nodes are used in such areas where wired networks are impossible to be deployed. WSNs are deployed in physical harsh and hostile environments where nodes are always exposed to physical security risks damage. In this special issue, we concentrate mainly on cooperative communication and advanced related mechanisms for wireless sensor network. We are interested in novel ideas, advanced techniques, comparative analysis of different methodologies, detailed surveys, and technical reviews on all aspects of cooperative communications and mechanisms in wireless sensor networks. This special issue covers industrial applications and academic research contributions. Potential topics include but are not limited to the following:  Green wireless sensor networks architectures and communication protocols  Data gathering, fusion, and dissemination in WSNs  Multimedia over sensor networks  Smart cities and smart environment  Cooperative communication  Relaying techniques Keywords: WSNs, Mobile Computing and communication Instructions for Manuscripts Each paper, written in English, should be no more than 5000 Words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw . Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://jit.ndhu.edu.tw/ojs/index.php/jit/about/submissions#authorGuidelines . Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at https://mc04.manuscriptcentral.com/internet-tech . The manuscript template can be found at http://jit.ndhu.edu.tw/ojs/index.php/jit/about/submissions#authorGuidelines . Important dates Manuscript Submission Deadline: Jan. 25, 2018 First Round of Review: Mar. 31, 2018 Tentative Publication Date: Sep. 30, 2019 Guest Editors Lead Guest Editor Dr. Wei Wei School of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, PR China. Email: weiwei@xaut.edu.cn Wei Wei, IEEE Senior member(membership number: 94037329), received the Ph.D. and M.S. degrees from Xi’an Jiaotong University in 2011and 2005, respectively. Currently I am an associate Professor at Xi’an Unviersity of Technology. My academic interests in the following areas: Wireless Networks and Wireless Sensor Networks Application, Mobile Computing, Wireless Network Security, Image Processing, Distributed Computing. Guest Editors Dr. Houbing Song Houbing Song, Ph.D. Assistant Professor of Electrical Engineering and Computer Science Department of Electrical, Computer, Software, and Systems Engineering Director, Security and Optimization for Networked Globe Laboratory (SONG Lab) Embry-Riddle Aeronautical University Daytona Beach, FL 32114-3900 E-mail: Houbing.Song@erau.edu; h.song@ieee.org Office: (386)226-2979 www.SONGLab.us Houbing Song received the Ph.D. degree in electrical engineering from the University of Virginia, Charlottesville, VA, in August 2012. In August 2017, he joined the Department of Electrical, Computer, Software, and Systems Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL, where he is currently an Assistant Professor and the Director of the Security and Optimization for Networked Globe Laboratory (SONG Lab, www.SONGLab.us). He served on the faculty of West Virginia University from August 2012 to August 2017. In 2007 he was an Engineering Research Associate with the Texas A&M Transportation Institute. He serves as an Associate Technical Editor for IEEE Communications Magazine. He is the editor of four books, including Smart Cities: Foundations, Principles and Applications, Hoboken, NJ: Wiley, 2017, Security and Privacy in Cyber-Physical Systems: Foundations, Principles and Applications, Chichester, UK: Wiley-IEEE Press, 2017, Cyber-Physical Systems: Foundations, Principles and Applications, Boston, MA: Academic Press, 2016, and Industrial Internet of Things: Cybermanufacturing Systems, Cham, Switzerland: Springer, 2016. He is the author of more than 100 articles. His research interests include cyber-physical systems, internet of things, cloud computing, big data analytics, connected vehicle, wireless communications and networking, and optical communications and networking. Dr. Song is a senior member of both IEEE and ACM. Dr. Song was the very first recipient of the Golden Bear Scholar Award, the highest faculty research award at West Virginia University Institute of Technology (WVU Tech), in 2016. Dr. Li Wei Centre for Distributed and High Performance Computing, School of Information Technologies,The University of Sydney. Email: liwei@cs.usyd.edu.au Wei Li received his Ph.D. degree from the School of Information Technologies at the University of Sydney in 2012. He is currently a research associate in the Centre for Distributed and High Performance Computing in University of Sydney. His research interests include Internet of Things, wireless sensor network, task scheduling, resource management, nature-inspired algorithms, and optimization; Distributed and High Performance Computing, High performance computing; Computer Architecture. Dr. Hao Wang Department of Electrical Engineering, University of Washington, Seattle, Washington, 98105, USA, Email:hwang16@uw.edu Dr. Hao Wang, Doctor of Philosophy in Information Engineering 2011-2016 in the Chinese University of Hong Kong (CUHK), Shatin, Hong Kong.Currently, he is an Washington Research Foundation Innovation Fellow of Clean Energy Institute, University of Washington, Seattle, WA, USA.His academic interests in the following areas: Renewable Energy;Energy Economics;Power Systems;Distributed Systems;Smart Grid. Dr. Shancang Li Senior Lecturer in Forensics and Security, Department of Computer Science and Creative Technologies, University of the West of England, Bristol BS16 QY, UK E-mail: shancang.li@uwe.ac.uk Research Interests: Network security, digital forensics, lightweight cryptography, mobile security, Internet of Things, mobile forensics.
Message: Extra! Extra! Congratulations to the Journal of Internet Technology!
Dear All, We are delighted to inform our authors that as announced by Thomson Reuters, the 2016 Impact Factor of the Journal of Internet Technology has increased from 0.533 to 1.930*! JIT would like to congratulate and express gratitude to all the authors who have been part of this success, by publishing their best work in the Journal of Internet Technology. Thank you for your contributions. On behalf of the Editors of the Journal of Internet Technology, we look forward to your continued contributions to the Journal. Sincerely, Prof. Han-Chieh Chao Editor-in-Chief Journal of Internet Technology *Impact Factor: 2016: 1.930 © Thomson Reuters Journal Citation Reports 2017
Special Issue: “Intelligent Service for Internet of Things: Theory and Applications”
Call for Papers Journal of Internet Technology (http://jit.ndhu.edu.tw/, Indexed by SCI-E) Special Issue on “Intelligent Service for Internet of Things: Theory and Applications” Theme and Scope Recent developments in theory and applications of distributed and wireless/wired sensor and actuator networks are vital for Internet of Things. Sensor networks is an interdisciplinary field, including many fields, such as wireless networks and communications, signal processing, embedded systems, information management, and Intelligent Service. The Internet of Things (IoT) is the interconnection of uniquely identifiable computing devices, systems, and services within all the possible existing networking infrastructure. Typically, IoT is expected to offer advanced connectivity, which goes beyond machine-to-machine sensor communications and covers a variety of protocols, domains, and applications. Here we focus on the related theory and applications about sensor intelligent service for IoT. Intelligent services can delivery us with all kinds of IT solutions and services, which leads any organization to lead it’s market with good cloud Quality of Service (QoS), reduce it’s cost and rise up it’s profit. Intelligent services connect the gap between developers, architect and build planners with the best-of-breed intelligent and green building technologies, practice thus reduce costs, quick return investments, add comfort, obtain value and ease to build occupants. All lead to sustainable communities. The major enabling technologies that are giving a flying kick start to IoT are the intelligent service for ad hoc and wireless sensor networks (WSNs), real-time systems, low power and energy harvesting, radio frequency identification, resource-constrained networks, embedded software, and others. The emergence and appearance of various intelligent service of wireless sensor networks have brought about lot of changes as well as opportunities. However, many new challenges confront researchers. For this, this Special Issue of JIT is addressing a call to researchers and academics for innovative papers submissions on the following (not limited) list of topics: l Intelligent service standard l Trust models for IoT services l Cost/efficiency of intelligent services for IoT l Optimization mechanisms for IoT services l IoT resource allocation and indexing l Data mining in IoT computing l Autonomic services in IoT computing l Multimedia services for IoT l Virtualization services for IoT l Smart home services based on IoT computing l Intelligent services in vehicular IoT l Information security in IoT -based intelligent service l Social networks in IoT computing l Intra- and inter- IoT computing issues and considerations Instructions for Manuscripts Each paper, written in English, should be no more than 5000 Words, including references and illustrations. More information can be found at http://jit.ndhu.edu.tw/ojs/index.php/jit/about/submissions#onlineSubmissions. All submitted papers will be reviewed by at least three reviewers and selected based on their originality, significance, relevance, and clarity of presentation. The covering letter should indicate the names of the authors and their affiliations, addresses, faxes, and e-mails. Prospective authors should submit full manuscripts with MS Word format .doc, electronically by e-mail to Guest Editor, Mr. Quyi Xie, qyxie1@outlook.com by Feb. 8, 2017. Important dates Manuscript submission deadline: Feb. 8, 2017 Notification of Acceptance/Rejection/Revision: Apr. 8, 2017 Final Manuscript Due: May 8, 2017 Guest Editors Prof. Cong Zhang School of Mathematics and Computer Science, Wuhan Polytechnic University, China E-mail: hb_wh_zc@163.com Prof. Aamir Awan École de Technologie Supérieure, 1100 Notre-Dame Street West, Montreal, QC H3C 1K3, Canada. E-mail: malikaamirawan2@hotmail.com Mr. Quyi Xie School of Computer Science, Colorado Technical University, Colorado Springs, CO 80907, USA E-mail: qyxie1@outlook.com
We are delighted to officially announce the launch of our website on November 11th, 2016. You can now find us at jit.niu.edu.tw or jit.ndhu.edu.tw.
Special Issue: “Behavior Data Analytics for Cybersecurity”
Call for Papers Journal of Internet Technology (http://jit.niu.edu.tw/, Indexed by SCI-E) Special Issue on “Behavior Data Analytics for Cybersecurity” Theme and Scope Moving towards digital nation and smart cities, cyberspace is becoming an increasingly important platform for innovation and prosperity, and the means to improve general welfare and productivity. Due to the loosely coupled and lightly regulated digital infrastructure for collaboration and sharing, greater risks and new cybersecurity challenges result. Furthermore, as the scale and complexity of this cyberspace grow, big data approach has generally been proven to be a promising direction to understand what is on-going inside, both at the macroscopic and microscopic levels. As the same time, behavior analytics, in particular using domain knowledge and semantics to assist data mining and pattern discovery, is also found to be very effective in understanding not only the transactional behavior patterns of entities in the cyberspace, but also the causations behind these patterns as well as the quantification of their cognitive experience. When these two areas are put together, it creates a promising direction to address new cybersecurity challenges. It also opens up new fundamental research questions in both fields, data analytics, and cybersecurity. This special session will include papers based on the presentation at the 18th International Conference on Information and Communications Security, ICICS 2016 (http://www.icics2016.org) and papers submitted for this call for papers. All submitted papers are subjected to the same review process as those papers accepted for publication in the regular issues. Topics include but are not limited to: l Affective computing l Attack behavior analysis l Attribute-oriented analysis l Behavior models and theories l Behavior analytics service platform l Cognitive cyber-infrastructure l Distributed systems security l Multi-dimensional data models and optimization l Next generation security operation centre l Ontologies in behavior informatics l Risk evaluation and security l Security information and event management l Semantics for functions and behaviors l Semantics-inspired data mining and pattern discovery l Service composition, horizontal and vertical l Use cases and applications in cybersecurity analytics Instructions for Manuscripts Each paper, written in English, should be no more than 5000 Words, including references and illustrations. More information can be found at http://jit.niu.edu.tw/preparation2.php. All submitted papers will be reviewed by at leastthree reviewers and selected based on their originality, significance, relevance, and clarity of presentation. Papers extended from conference/workshop versions should be clearly stated and should have at least 30% different materialsfrom their original versions. The covering letter should indicate the names of the authors and their affiliations, addresses, faxes, and e-mails. Prospective authors should submit full manuscripts electronically by e-mail to chihung.chi@csiro.au,by January 08, 2017. Important dates Manuscript submission deadline: January 08, 2017 Notification of Acceptance/Rejection/Revision: March 12, 2017 2nd round check: April 30, 2017 Final Manuscript Due: June 18, 2017 Tentative Publication Date: September 30, 2018 Guest Editors Dr. Chi-Hung Chi Data61/CSIRO Tasmania, Australia 7005 E-mail: chihung.chi@csiro.au Prof. Kwok-yan Lam School of Computer Science and Engineering, Nanyang Technological Univeresity, Singapore Email: kwokyan.lam@ntu.edu.sg Prof. Raymond Wong School of Computer Science and Engineering University of New South Wales, Sydney, Australia E-mail: wong@cse.unsw.edu.au
Special Issue: “Applications on Watermarking and Visual Cryptography”
Call for Papers Journal of Internet Technology (http://jit.niu.edu.tw/, Indexed by SCI-E) Special Issue on “Applications on Watermarking and Visual Cryptography” Theme and Scope Nowadays, many applications based on multimedia signal processing have been applied into our daily lives. With the proliferation of image and video contents, the issues of information security, data privacy and forensic analysis have attracted a growing number of researchers in the multimedia community. Solutions and progress made in this field will not only bring the end users new experiences in a secure and privacy-preserving manner but also facilitate next generation multimedia applications and tools for the content provider. The main focus of this special issue will be on the novel proposal of watermarking and visual cryptography techniques for multimedia security and forensics as well as new applications that could be built on top of them. Moreover, new steganalysis approaches are also included in this special issue. The special issue will become an international forum for researchers of industries and academic institutions to collect the most recent developments in these fields, with a special emphasis given to the improvements and results obtained within the last five years. For this, this Special Issue of JIT is addressing a call to researchers and academics for innovative papers submissions on the following (not limited) list of topics: • Multimedia Watermarking • Fingerprinting and encryption • Adaptive Steganography and Steganalysis • Visual Cryptography and Secret Image Sharing • Multimedia forensics and Counter Forensics • Source Device Identification and Linking • Covert Communication and Surveillance in Internet • Communication Protocols for Internet Security • Signal Processing in the Encrypted Domain • Instructions for Manuscripts Each paper, written in English, should be no more than 5000 words, including references and illustrations. More information can be found at http://jit.niu.edu.tw/preparation2.php. The selected best papers from the 12th Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP 2016) should undergone substantial extensions of at least 40% new contents with respect to the version of conference paper before submission. All submitted papers will be reviewed by at least three reviewers. The covering letter should indicate the names of the authors and their affiliations, addresses, and e-mails. Prospective authors should e-mail full manuscripts with MS Word format or PDF format, to ally.cclin@gmail.com or chenyh@asia.edu.tw. Important Dates Manuscript submission deadline: Dec. 31, 2016 Notification of Acceptance/Rejection/Revision: Feb. 28, 2017 Final Manuscript Due: March 30, 2017 Tentative Publication Date: Nov. 30, 2018 Guest Editors Prof. Chia-Chen Lin Dept. of Computer Science and Information Management, Providence University,Taiwan E-mail: ally.cclin@gmail.com Prof. Lakhmi C. Jain University of Canberra, Australia E-mail:Lakhmi.Jain@unisa.edu.tw Dr. Chuan Qin University of Shanghai for Science and Technology, China E-mail: qin@usst.edu.cn Dr. Jeng-Shyang Pan Fujian University of Technology, China E-mail: jspan@cc.kuas.edu.tw
Special Issue: Selected papers from "MobiSec 2016”
Call for Papers Journal of Internet Technology (http://jit.niu.edu.tw/, Indexed by SCI-E) Special Issue on “Selected papers from MobiSec 2016” Theme and Scope During the past two decades, mobile Internet technologies have been dramatically growing while leading to a paradigm shift in our everyday life. Despites their revolution, mobile Internet technologies also open doors to various security threats, which should be addressed to keep mobile Internet environments to be secure and trustable. Even worse, the latest technologies, e.g. distributed mobility management, mobile Internet of things, 5G networks, and so forth, are continuously introducing new security challenges. Therefore, it is of paramount importance to study mobile Internet security. The 1st International Conference on Mobile Internet Security (MobiSec 2016) was held in Taichung, Taiwan on 13-16 July, 2016. It brought together the academic and industrial researchers working on different aspects to exchange ideas, and explore new research directions for addressing the challenges in mobility Internet security. The main goal of this special issue is to provide an opportunity for researchers and practitioners to contribute with original research and review articles. It will publish outstanding papers selected from those accepted by and presented in MobiSec 2016. Each selected paper must be substantially extended, with at least 40% of difference from its conference version. The special issue on "MobiSec 2016" is estimated to be published in July 2018. Topics of this special issue include, but are not limited to: • New security vulnerabilities and threats in mobile internet and networks • Security issues and protocols for mobile internet and networks • Privacy and trust for mobile internet and networks • Security for cross-layer handover • Security for vertical handover in heterogeneous networks • New advances in the AAA infrastructure and EAP • Security for 4G and 5G networks • Security for mobile WIMAX and WIBRO, and WIFI • Security for IoT and wearable devices • Security for mobile internet services and applications • Advances in mobile internets and networks • Others and emerging new topics Instructions for Manuscripts Manuscripts must be prepared according to the standards for submission to the International Journal of Internet Technology; see instruction for Authors in: http://jit.ndhu.edu.tw/preparation2.php The sample format can be downloaded from http://jit.niu.edu.tw/doc/002.doc Manuscripts must also be uploaded through the electronic submission system: https://mc04.manuscriptcentral.com/internet-tech. Please specify that the manuscript is for the MobiSec 2016 special issue. Important Dates Manuscripts submission deadline: February 28, 2017. Notification of Acceptance/Rejection/Revision: March 31, 2017 2nd round check: April 30, 2017 Final Manuscript Due: May 15, 2017 (Tentative) Tentative Publication Date: July 31, 2018 Guest Editors Ilsun You Department of Information Security Engineering, Soonchunhyang University, South Korea E-mail: ilsunu@gmail.com Fang-Yie Leu Department of Computer Science, Tunghai University, Taiwan E-mail: leufy@thu.edu.tw Hsing-Chung Chen Computer Science and Information Engineering, Asia University, Taiwan E-mail: cdma2000@asia.edu.tw
Special Issue: “The 10th International Conference on Network and System Security (NSS 2016)”
Call for Papers Journal of Internet Technology (http://jit.niu.edu.tw/, Indexed by SCI-E) Special Issue on “The 10th International Conference on Network and System Security (NSS 2016)” Theme and Scope While the attack systems have become more easy-to-use, sophisticated, and powerful, interest has greatly increased in the field of building more effective, intelligent, adaptive, active and high performance defense systems which are distributed and networked. The NSS series conferences cover research on all theoretical and practical aspects related to network and system security, such as authentication, access control, availability, integrity, privacy, confidentiality, dependability and sustainability of computer networks and systems. This year, the 10th International Conference on Network and System Security (NSS 2016) will be held in Taipei, Taiwan on 28-30 September, 2016. The aim of NSS 2016 is to provide a leading edge forum to foster interaction between researchers and developers with the network and system security communities, and to give attendees an opportunity to interact with experts in academia, industry, and governments. More information about the conference can be found at its website http://nsclab.org/nss2016. The main goal of this special issue is to publish outstanding researches from NSS 2016. We plan to select the papers relevant to network and system security from the accepted papers based on the reviews (comments and scores) and the presentations during the conferences. Each selected paper must be substantially extended, with at least 40% difference from its conference version. The special issue on "NSS 2016" is estimated to be published in Vol. 19 No. 4, July 2018. Topics of interest include but are not limited to: l - Applied Cryptography l - Authentication l - Big Data Security and Privacy l - Database and System Security l - Intellectual Property Rights Protection l - Internet and Network Forensics l - Intrusion Detection and Prevention l - Security and Privacy in RFID/NFC, Cloud and Grid Systems, Pervasive/Ubiquitous Computing, Smart Grid, Social Networks or Wireless Networks l - Security Simulation and Tools l - Standards and Assurance Methods l - Trusted Computing Instructions for Manuscripts Each paper, written in English, should be no more than 5000 Words, including references and illustrations. More information can be found at http://jit.niu.edu.tw/preparation2.php. All submitted papers will be reviewed by at least three reviewers and selected based on their originality, significance, relevance, and clarity of presentation. The covering letter should indicate the names of the authors and their affiliations, addresses, faxes, and e-mails. Important dates Manuscript submission deadline: December 31, 2016 Notification of Acceptance/Rejection/Revision: January 31, 2017 Final Manuscript Due: March 01, 2017 Tentative Publication Date: July 31, 2018 Guest Editor Prof. Jiageng Chen Central China Normal University, China E-mail: jiageng.chen@mail.ccnu.edu.cn Prof. Nai-Wei Lo National Taiwan University of Science and Technology, Taiwan E-mail: yjzhao@troy.edu Prof. Chunhua Su Osaka University, Japan E-mail: rami.yared@usherbrooke.ca Prof. Kuo-Hui Yeh National Dong Hwa University, Taiwan E-mail: khyeh@mail.ndhu.edu.tw
The newest IF for JIT has been released and is 0.44(2015).
Message: New Manuscript Submission System
JIT has announced a partnership with ScholarOne. We will start the new manuscript submission system, ScholarOne, from April 21st, 2015. This change is to improve our quality and efficiency of service. From now on, after we receive a submission, we will do our best to shorten the review process, and make a decision within 6 months. From April 21st, 2015: Our submission system can be found here: https://mc04.manuscriptcentral.com/internet-tech Our website can be found here: http://jit.niu.edu.tw Our original submission system will not accept any new submissions from April 21st, 2015. Submissions before April 21st, 2015. via here , please do not resubmit your manuscript in ScholarOne as it will be reviewed in the old system.