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
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