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Communications, Signal Processing, and Systems

Proceedings of the 2018 CSPS Volume III: Systems

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Qilian Liang

    1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, USA

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  2. Xin Liu

    1. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

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  3. Zhenyu Na

    1. School of Information Science and Technology, Dalian Maritime University, Dalian, China

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  4. Wei Wang

    1. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

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  5. Jiasong Mu

    1. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

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  6. Baoju Zhang

    1. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

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  • Brings together the papers presented at the 2018 International Conference on Communications, Signal Processing, and Systems held in Dalian, China on July 14–16, 2018
  • Includes the latest developments in communications, signal processing, and systems
  • Examines system approaches for communications and signal processing
  • Promotes the integration of algorithms and systems, software, and hardware

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 517)

Included in the following conference series:

Conference proceedings info: CSPS 2018.

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About this book

This book brings together papers from the 2018 International Conference on Communications, Signal Processing, and Systems, which was held in Dalian, China on July 14–16, 2018. Presenting the latest developments and discussing the interactions and links between these multidisciplinary fields, the book spans topics ranging from communications, signal processing and systems. It is aimed at undergraduate and graduate electrical engineering, computer science and mathematics students, researchers and engineers from academia and industry as well as government employees.

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Table of contents (145 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Artificial Intelligence and Deep Learning

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Based on Deep Learning CSI Recovery for Uplink Massive Device Dynamic Internet of Thing

      • Yue Xiu, Wenyuan Wang, Yongliang Shen, Zhongpei Zhang
      Pages 3-9

    3. DEEP: Detection of Environmental Pollution Using Cooperative Neural Network

      • Yang Zhang
      Pages 10-17

    4. Imbalanced Data Classification Method Based on Ensemble Learning

      • Yu Xiang, Yongping Xie
      Pages 18-24

    5. Bayesian Method-Based Learning Automata for Two-Player Stochastic Games with Incomplete Information

      • Hua Ding, Chong Di, Li Shenghong
      Pages 25-33

    6. A Double Competitive Strategy-Based Learning Automata Algorithm

      • Chong Di, Mingda Guo, Jinchao Huang, Shenghong Li
      Pages 34-41

    7. A Learning Automata-Based Compression Scheme for Convolutional Neural Network

      • Shuai Feng, Haonan Guo, Jichao Yang, Zhengwu Xu, Shenghong Li
      Pages 42-49

    8. Improved Efficient Dictionary Learning with Cross-Label and Group Regularization

      • Tian Zhou, Sujuan Yang, Jian Xiong, Jie Yang, Guan Gui
      Pages 50-58

    9. Multi-task Cascaded Convolutional Neural Networks for Real-Time Dynamic Face Recognition Method

      • Bin Jiang, Qiang Ren, Fei Dai, Jian Xiong, Jie Yang, Guan Gui
      Pages 59-66

    10. Based on the Predicted Blocking Virtual Machine Load Balancing Scheduling Strategy

      • Youhui Jiang
      Pages 67-72

    11. Research on Fault Diagnosis Based on Artificial Neural Network

      • Rui Liu
      Pages 73-79

    12. Virtual Samples for Cloud Classification via Supervised Learning

      • Shuang Liu, Mei Li, Zhong Zhang, Mingzhu Shi, Xiaozhong Cao
      Pages 80-86

    13. Deep Learning for Optical Character Recognition and Its Application to VAT Invoice Recognition

      • Yu Wang, Guan Gui, Nan Zhao, Yue Yin, Hao Huang, Yunyi Li et al.
      Pages 87-95

    14. Deep Learning Based Detection Method for SDN Malicious Applications

      • Chi Yaping, Yu Yuzhou, Yang Jianxi
      Pages 96-104

    15. Survey of Big Data Application Technology on Multimedia Data of Public Security

      • Huibo Li, Yinan Jiang, Yunxiang Yang, Jing Guo, Xiaocheng Hu, Ke Guo et al.
      Pages 105-112

    16. Pedestrian Detection Based on Deep Neural Network in Video Surveillance

      • Bo Zhang, Ke Guo, Yunxiang Yang, Jing Guo, Xueying Zhang, Xiaocheng Hu et al.
      Pages 113-120

    17. Robust Model for Chinese License Plate Character Recognition Using Deep Learning Techniques

      • Amr Abdussalam, Songlin Sun, Meixia Fu, Yasir Ullah, Safwan Ali
      Pages 121-127

    18. A Multi-label Scene Categorization Model Based on Deep Convolutional Neural Network

      • Gaofeng Zhao, Wang Luo, Yang Cui, Qiang Fan, Qiwei Peng, Zhen Kong et al.
      Pages 128-135

    19. Discriminative Structured Dictionary Learning for Face Recognition

      • Ying Zhu
      Pages 136-144
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Other volumes

  1. Communications, Signal Processing, and Systems

  2. Communications, Signal Processing, and Systems

  3. Communications, Signal Processing, and Systems

Editors and Affiliations

  • Department of Electrical Engineering, University of Texas at Arlington, Arlington, USA

    Qilian Liang

  • School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

    Xin Liu

  • School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  • College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang, Jiasong Mu, Baoju Zhang

About the editors

Dr. Qilian Liang is a Professor at the Department of Electrical Engineering, University of Texas at Arlington (UTA), USA, where he has been working since August 2002. Prior to this, he was a member of the technical staff at Hughes Network Systems Inc. in San Diego, California. Dr. Liang received his B.S. degree from Wuhan University, China, in 1993; his M.S. degree from Beijing University of Posts and Telecommunications, China in 1996; and a Ph.D. degree from the University of Southern California (USC), Los Angeles, USA in May 2000, all in Electrical Engineering. His research interests include communications, signal processing and fuzzy logic systems. Dr. Liang has published more than 270 journal and conference papers, 6 book chapters, and has 6 U.S. patents pending. He received 2002 IEEE Transactions on Fuzzy Systems Outstanding Paper Award; 2003 U.S. Office of Naval Research (ONR) Young Investigator Award; 2005 UTA College of Engineering Outstanding Young Faculty Award; 2007,2009, 2010 U.S. Air Force Summer Faculty Fellowship Program Award; 2012 UTA College of Engineering Excellence in Research Award; 2013 UTA Outstanding Research Achievement or Creative Activity Award; and was inducted into UTA Academy of Distinguished Scholars in 2015.

 


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