2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems

Dpta 2020
2021. Auflage 2021
ISBN: 978-981-16-1725-6
Verlag: Springer

Buch, Englisch, 1669 Seiten, Format (B × H): 196 mm x 234 mm, Gewicht: 2449 g

Reihe: Advances in Intelligent Systems and Computing

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 2020), held in Laibin City, Guangxi Province, China, on December 11–12, 2020. 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; machine learning algorithms for 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.

Zielgruppe

Research

Autoren/Hrsg.

Huang, Chuanchao

Chan, Yu-Wei

Yen, Neil

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik

Inhaltsverzeichnis

Application of Big Data Technology in Enterprise Financial Management.- The Cultivation Research of Management Accounting Talents in Universities under the Background of Artificial Intelligence.- Volatility Modeling of S&P500 Returns: A Comparative Study of GARCH Family Models and VIX.- Research on the Control System of Intelligent Discrimination of Electricity Stealing and Omission.- Analysis of Port Efficiency and Influencing Factors Based on DEA-Tobit.- Application Status and Prospect of Artificial Intelligence Big Data in Stadium Management.- Design of Automatic Intelligent Water Saving System for Faucet.- Optimization of labor value and relationship distribution under the blockchain.- Algorithm design and function realization of home decoration design software based on BIMm.- On the Early Warning of Internet Financial Risk Based on Big Data.- Design of ceramic art design assistant teaching system based on Cloud Computing Technology.- Research on security situation analysis and intelligent disposal technology of edge side area.- Design of horse health management system based on wireless network and simulation system.

Über Autor(innen)

Chuanchao Huang obtained Ph.D. degree from the 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.
Yu-Wei Chan 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 Providence University as a professor. His current research interests include cognitive radio in 5G, game theoretic wireless networking, and cloud computing.
Neil Y. Yen received Ph.D. degrees at the Department of Human Informatics and Cognitive Sciences, Waseda University, Japan, and the Department of Computer Science and Information Engineering, Tamkang University, Taiwan, in the year of 2012, respectively. He is currently an associate professor at the 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).