Details

Distributed processing for sensor data in CPS networks.- Approximate reasoning and pattern recognition for CPS networks.- Data platforms for efficient integration with CPS networks.- Data security and privacy in CPS networks. 

<b>Chuanchao Huang</b> obtained Ph.D. degree from School of Management in Huazhong University of Science and Technology, China. His research interests include machine learning, artificial intelligence, simulation model under multimedia information and computing organization. He is now the associate professor in Huazhong University of Science and Technology, China. He has authored or co-authored more than 30 publications including Neurocomputing, Multimedia Tools Appl., Neural Computing and Applications, and Physic Review Part A etc.<p><b>Yu-Wei Chan</b> received the B.S. and M.S. degrees in Information Engineering from Tamkang University, Taiwan, in 1997 and 2001, respectively. He received the Ph.D. degree in Computer Science from National Tsing Hua University in 2013. He joined the Department of Information Management at Chung Chou University of Science and Technology as a lecturer in 2002. In 2016, he joined the Department of Computer Science and Information Management at ProvidenceUniversity as a professor. His current research interests include cognitive radio in 5G, game theoretic wireless networking, cloud computing.</p>

<p><b>Neil Y. Yen</b> received Ph.D. degrees at Department of Human Informatics and Cognitive Sciences, Waseda University, Japan and Department of Computer Science and Information Engineering, Tamkang University, Taiwan in year of 2012 respectively. He is currently an associate professor at School of Computer Science and Engineering, University of Aizu, Japan. His current interests include Human-centric Computing (i.e., user modeling and understanding, social web, collaborative economy), Big Data (i.e., data/web mining, deep learning, statistical analysis), and Anticipatory Computing (i.e., prediction, recommendation, and well-being services).</p>

This book covers cutting-edge and advanced research on data processing techniques and applications for Cyber-Physical Systems. Gathering the proceedings of the International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019), held in Shanghai, China on November 15–16, 2019, it examines a wide range of topics, including: distributed processing for sensor data in CPS networks; approximate reasoning and pattern recognition for CPS networks; data platforms for efficient integration with CPS networks; and data security and privacy in CPS networks. Outlining promising future research directions, the book offers a valuable resource for students, researchers and professionals alike, while also providing a useful reference guide for newcomers to the field.&nbsp;

Covers the latest research and emerging technologies in CPS Addresses both theoretical and practical aspects of Data Processing Techniques and Applications for Cyber-Physical Systems Highlights current challenges in CPS, as well as research gaps and opportunities