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Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019)

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Chuanchao Huang

    1. Huazhong University of Science and Technology, Wuhan, China

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  2. Yu-Wei Chan

    1. Computer Science and Information Management, Providence University, Taichung, Taiwan

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    You can also search for this editor in PubMed   Google Scholar

  3. Neil Yen

    1. University of Aizu, Fukushima, Japan

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  • 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

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1088)

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Table of contents (243 papers)

  1. Front Matter

    Pages i-xxiv
    Download chapter PDF

  2. Impact of Smart Cities on Resource Conservation Based on Big Data Analysis

    • Yongzhi Chen, Yingxing Lin
    Pages 1-8

  3. Water Level Measurement Device

    • Jian Huang
    Pages 9-14

  4. Optimization of Urban Transportation Network Path

    • Dandan Zhang, Haiyun Zhu
    Pages 15-22

  5. Identification and Early Warning of College Students’ Psychological Crisis Based on Big Data

    • Weie Xiong
    Pages 23-28

  6. Application of VR Technology in Intangible Cultural Heritage Protection

    • Liang Li
    Pages 29-34

  7. Construction of Ultimate Video Experience and Application Innovation System Based on 5G and 8K

    • Dong Xiang, Xia Ran, Zhiqiang Xu
    Pages 35-41

  8. Cost of Kidney Transplantation on the Base of Data Mining Technology

    • Kaixing He, Jinguo Wang, Jiwei Wang, Na Wang
    Pages 43-47

  9. Public Service of Retired Personnel in Colleges and Universities in the Internet Era

    • Yanping Wang
    Pages 49-54

  10. Application Research of Accounting Archives Informatization Based on Big Data

    • Xiangdong Xu
    Pages 55-62

  11. Construction of Vocational Education Information Platform Under the Background of Big Data

    • Xiaojun Jiang, Zengxiang Pan
    Pages 63-70

  12. Language Conversion and Cultural Communication in Nobrock’s Translation—Taking Xunzi’s Persuasion of Learning as an Example

    • Qingkun Hu
    Pages 71-79

  13. Design and Manufacture of Moxibustion Bed Control System

    • Daming Pei
    Pages 81-88

  14. Development of a New Computer-Aided Algorithm for Three-Layered Seale Wire Strand Geometric Design

    • Chunlei Yu, Junqi Pan, Qiang Song, Mingzhao Zhu
    Pages 89-96

  15. Designing of Postgraduate Medical English Class in Smart Learning Environment

    • Xiaofang Wang, Cheng Liu
    Pages 97-103

  16. An Improvement Method of Power Energy Utilization Rate Based on DEA Model

    • Fu Mo
    Pages 105-110

  17. “Blended Learning” in Construction Cost Network Course

    • Shu Li, Lei Cao, Yunda Shao
    Pages 111-117

  18. Data Mining of Privacy Preserving Based on Secret Sharing Technology

    • Jianguo Liu, Xiaoyu Liu, Zhansheng Chen, Zhengkun Hu
    Pages 119-128

  19. Application Status and Development Prospect of Artificial Intelligence in Clinical Medicine

    • Mengqiao Wang
    Pages 129-134

  20. Core Index System of Provincial Power Grid Company’s Economic Activity Analysis

    • Rongmao Wang, Lei Jiang, Jia Yu, Xiao Pan
    Pages 135-145
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Keywords

About this book

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. 

Editors and Affiliations

  • Huazhong University of Science and Technology, Wuhan, China

    Chuanchao Huang

  • Computer Science and Information Management, Providence University, Taichung, Taiwan

    Yu-Wei Chan

  • University of Aizu, Fukushima, Japan

    Neil Yen

About the editors

Chuanchao Huang 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.

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 ProvidenceUniversity as a professor. His current research interests include cognitive radio in 5G, game theoretic wireless networking, cloud computing.

Neil Y. Yen 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).

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