Guest Editors
Dr. Zheng Xu, Shanghai University, China
Dr. Neil Yen, The University of Aizu, Japan
Dr. Junyu Xuan, University of Technology Sydney, Australia
Summary
The cyber-physical system (CPS) has been coming into our view and will be applied in our daily life and business process management. The emerging CPS must be robust and responsive for its implementation in coordinated, distributed, and connected ways. It is expected that future CPS will far exceed today’s systems on a variety of characteristics, for example, capability, adaptability, resiliency, safety, security, and usability. With the rapid development of computing and sensing technologies, such as ubiquitous wireless sensor networks, the amount of data from dissimilar sensors and social media has increased tremendously. Conventional data fusion algorithms such as registration, association, and fusion are not effective for massive datasets. New research opportunities and challenges for content analysis on CPS networks have arisen. Making sense of these volumes of data requires cutting-edge tools that can analyze and extract useful knowledge from vast and diverse data streams. How to integrate and analyze the data? How to retrieve knowledge from data? How to share knowledge among smart things? How to ensure security and protect privacy? These are some of the questions in the long list of challenges that are needed to be addressed in future CPS.
Keywords
• Applications of intelligent data analytics in CPS
• Intelligent analysis of different types of data collected from different layers of CPS
• Application of AI in CPS system security and privacy modeling and simulation
• Intelligent AI-based control strategies to improve CPS performance
• Design, optimization and data-driven modeling of CPS
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