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Proceedings of the 12th International Conference on Computer Engineering and Networks

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Qi Liu

    1. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China

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  2. Xiaodong Liu

    1. School of Computing, Edinburgh Napier University, Edinburgh, UK

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  3. Jieren Cheng

    1. School of Computer Science and Technology, Hainan University, Haikou, China

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  4. Tao Shen

    1. School of Electrical Engineering, University of Jinan, Jinan, China

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  5. Yuan Tian

    1. School of Computer Engineering, Nanjing Institute of Technology, Nanjing, China

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  • Highlights the latest research on computer engineering and networks
  • Covers a range of emerging topics in AI, IoT, Medical Engineering, etc
  • Is applicable to wide engineering domains

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 961)

Included in the following conference series:

Conference proceedings info: CENet 2022.

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Table of contents (156 papers)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. Internet of Things and Smart Systems

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Grid-Search Enhanced Tree-Based Machine Learning for Traffic IoT Data Anomaly Detection

      • Shuai Li, Bin Sun, Renkang Geng, Lu Zhang, Tao Shen
      Pages 3-9

    3. A Cross-Domain Authenticated Key Management Scheme for the Internet of Drones

      • Yifa Li, Yu Geng, Xueman Kong
      Pages 10-22

    4. On Establishment of Food Traceability System with Internet of Things

      • Qingqiang Huang
      Pages 23-28

    5. Edge IOT Proxy Gateway Task Scheduling Method for PIOT Service

      • Jichuan Zhang, Peng Wang, Shen Guo, Jiayin Lin, Sijun Qin, Chuanyu Tan et al.
      Pages 29-37

    6. Semantic Modeling Method of Highly Elastic Power Grid Based on OWL

      • Yutong Wen, Jianping Huang, Ying Yao, Shaoyong Guo, Yinlin Ren
      Pages 38-46

    7. Distributed Power Trading Mechanism of Multiple Virtual Power Plants Based on Agency Alliance

      • Chang Liu, Jianping Huang, Ying Yao, Feng Qi, Yinlin Ren
      Pages 47-55

    8. Trusted Computing Management Model for Power Data Based on Consortium Blockchain

      • Fangjian Shang, Jing Lou, Yanli Yao, Yan Sun, Chang Liu
      Pages 56-64

    9. A Distributed Authentication Mechanism Based on the Transmission Characteristics of WiFi6

      • Wendi Wang, Xin Qian, Yitian Sha, Juntao Zheng, Sujie Shao
      Pages 65-74

    10. Harmonic Energy Metering Method for High Proportion of Renewable Energy Access

      • Xiao Feng, Yonggui Wang, Zhu Liu, Wenjing Li, Tengfei Dong
      Pages 75-83

    11. A Differentiated WiFi6 Access Resource Optimization Method for Power Internet of Things Services Based on Transmission Time Slot Scheduling

      • Shaojun Liu, Jingwei Li, Guangchang Yang, Sujie Shao, Shaoyong Guo
      Pages 84-94

    12. Split Learning Based on Self-supervised Learning

      • Shaojie Yang, Hao Chen, Jianping Huang, Yong Yan, Jiewei Chen, Ao Xiong
      Pages 95-104

    13. Lithium Battery Life Prediction Based on Edge Computing and Deep Learning

      • Yudong Jin, Huiyan Shen, Ge Chen, Jun Zhu
      Pages 105-114

    14. Network Link Existence Prediction Method Based on Graph Autoencoder

      • Guorui Yang, Tao Feng, Yonghua Huo, Shidang Tang, Zhenying Qu
      Pages 115-124

    15. Network Alarm Log Data Enhancement Method Based on GAN Model

      • Yiding Liu, Yuting Li, Yang Yang, Zhipeng Gao, Lanlan Rui
      Pages 125-134

    16. Design and Implementation of Power Data Traceability System Based on Blockchain

      • Fangjian Shang, Xinyi Li, Xin Wen, Shaoyong Guo, Chang Liu, Haiyang Hu
      Pages 135-145

    17. Auxiliary Offloading Optimization Method for Hierarchical Federated Learning

      • Yingzhao Qiu, Shaoyong Guo, Tao Shen, Yan Feng, Fenhua Bai
      Pages 146-155

    18. Packet Loss Inference Algorithm Based on Resource Correlation Characteristics Under Network Slicing

      • Xuan Wang, Ziyuan Han
      Pages 156-162

    19. Design a Multi-layer Supply Chain Optimization Model Based on Federated Learning and Blockchain

      • Qi Ma, Shaoyong Guo, Tao Shen, Yan Feng, Jian Gao, Bei Liu
      Pages 163-172
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Keywords

About this book

This conference proceeding is a collection of the papers accepted by the CENet2022 – the 12th International Conference on Computer Engineering and Networks held on November 4-7, 2022 in Haikou, China. The topics focus but are not limited to Internet of Things and Smart Systems, Artificial Intelligence and Applications, Communication System Detection, Analysis and Application, and Medical Engineering and Information Systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings. This will enable them to produce, maintain, and manage systems with high levels of trustworthiness and complexity.

Editors and Affiliations

  • School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China

    Qi Liu

  • School of Computing, Edinburgh Napier University, Edinburgh, UK

    Xiaodong Liu

  • School of Computer Science and Technology, Hainan University, Haikou, China

    Jieren Cheng

  • School of Electrical Engineering, University of Jinan, Jinan, China

    Tao Shen

  • School of Computer Engineering, Nanjing Institute of Technology, Nanjing, China

    Yuan Tian

About the editors


Qi Liu received the B.S. degree in Computer Science and Technology from Zhuzhou Institute of Technology, China in 2003, and M.S. and Ph.D. in Data Telecommunications and Networks from the University of Salford, the UK in 2006 and 2010. His research interests include context awareness, data communication in MANET and WSN, and smart grid. His recent research work focuses on intelligent agriculture and meteorological observation systems based on WSN.

Prof X. Liu received his PhD in Computer Science from De Montfort University and joined Napier in 1999. He is currently leading the Software Systems research group in the SoC, Edinburgh Napier University. He was the director of Centre for Information & Software Systems. Prof Liu is an active researcher in software engineering with internationally excellent reputation and leading expertise, focusing on its emerging themes including pervasive systems (Internet of Things), services-oriented architecture, evolution of cloud services, and intelligence-driven software engineering. He has meanwhile a successful track record of teaching in a number of software engineering courses which are widely informed by his research activities. He has led 10 externally funded projects as the PI, and published over 120 papers in established international journals and conferences, 5 book chapters and 3 research handbooks. He is the inventor of 1 patent registered in UK and USA and the founder of a spin-out company. He has been the chair, co-chair or PC member of a number of IEEE and IASTED International Conferences. He is the editorial board member of 4 international journals and editor of 3 research books and 2 journals special issues. He is a senior member of IEEE Society and a member of British Computer Society.



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