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Multimedia Technology and Enhanced Learning

Second EAI International Conference, ICMTEL 2020, Leicester, UK, April 10-11, 2020, Proceedings, Part I

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Yu-Dong Zhang

    1. School of Informatics, University of Leicester, Leicestershire, UK

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  2. Shui-Hua Wang

    1. University of Leicester, Leicestershire, UK

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    You can also search for this editor in PubMed   Google Scholar

  3. Shuai Liu

    1. Human Normal University, Changsha, China

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Included in the following conference series:

Conference proceedings info: ICMTEL 2020.

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Table of contents (42 papers)

  1. Front Matter

    Pages i-xviii
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  2. Multimedia Technology and Enhanced Learning

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Identification of Tea Leaf Based on Histogram Equalization, Gray-Level Co-Occurrence Matrix and Support Vector Machine Algorithm

      • Yihao Chen
      Pages 3-16

    3. Research on Durability Test for Composite Pipe Fitting Materials of Automobile

      • Ang Li, Juan Du
      Pages 17-27

    4. Method for Extracting Information of Database of Smart Phone Terminal in Lock Screen Mode

      • Juan Du, Rong Xie
      Pages 28-40

    5. Quality Detection Method of Phase Change Energy Storage and Thermal Insulation Building Materials Based on Neural Network

      • Shan-qin Sun
      Pages 41-53

    6. Automatic Monitoring System of Vehicle Pollutant Emission Based on Fusion Algorithm

      • Shan-qin Sun
      Pages 54-65

    7. Research on Multi-source Heterogeneous Sensor Information Fusion Method Under Internet of Things Technology

      • Feng Jin, Li-li Xu
      Pages 66-74

    8. Analysis of Guangdong-Hong Kong-Macao Greater Bay Area’s Economic Growth Trend Based on Big Data Mining

      • Chao-ping Ma, Xiao-yun Lin
      Pages 75-84

    9. Analysis on the Development Path of Urban Agglomeration in Gulf Region of Guangdong, Hong Kong, Macao Under the Background of Big Data

      • Chao-ping Ma, Xiao-yun Lin
      Pages 85-98

    10. Research on Intelligent Diagnosis of Fault Data of Large and Medium-Sized Pumping Stations Under Information Evaluation System

      • Ying-hua Liu, Ye-hui Chen
      Pages 99-111

    11. On-line Monitoring Method of Power Transformer Insulation Fault Based on Bayesian Network

      • Ye-hui Chen, Ling-long Tan, Ying-hua Liu
      Pages 112-123

    12. Mining and Analyzing Behavior Patterns of Smart Home Users Based on Cloud Computing

      • Xing-hua Lu, Chang-shen Mo, Xiao-qi Wang, Qing-qing Ma
      Pages 124-135

    13. Research on Behavior Recognition Method Based on Machine Learning and Fisher Vector Coding

      • Xing-hua Lu, Zi-yue Yuan, Xiao-hong Lin, Zi-qi Qiu
      Pages 136-147

    14. Data Scheduling Method of Social Network Resources Based on Multi-Agent Technology

      • Xing-hua Lu, Ling-feng Zeng, Hao-han Huang, Wei-hao Yan
      Pages 148-158

    15. A Local Occlusion Face Image Recognition Algorithm Based on the Recurrent Neural Network

      • Xing-hua Lu, Ling-feng Wang, Ji-tao Qiu, Jing Li
      Pages 159-170

    16. Analysis of the Training Method for the Time-of-Time of the Movement Based on the Wireless

      • Hai-yan Zhang, Xiao-xia Li
      Pages 171-181

    17. Moving Target Location Method of Video Image Based on Computer Vision

      • Xiao-xia Li, Hai-yan Zhang
      Pages 182-192

    18. Design of Anti-interference Control System for Vacuum Packaging Machine Based on Wireless Network

      • Ming-fei Qu, Dan Zhao
      Pages 193-203

    19. Design of Sealing Transformer for Vacuum Packaging Machine Based on Single Chip Microcomputer Control

      • Ming-fei Qu, Xin Zhang
      Pages 204-213
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Other volumes

  1. Multimedia Technology and Enhanced Learning

  2. Multimedia Technology and Enhanced Learning

Keywords

About this book

This two-volume book constitutes the refereed proceedings of the Second International Conference on Multimedia Technology and Enhanced Learning, ICMTEL 2020, held in Leicester, United Kingdom, in April 2020. Due to the COVID-19 pandemic all papers were presented in YouTubeLive. The 83 revised full papers have been selected from 158 submissions. They describe new learning technologies which range from smart school, smart class and smart learning at home and which have been developed from new technologies such as machine learning, multimedia and Internet of Things.

Editors and Affiliations

  • School of Informatics, University of Leicester, Leicestershire, UK

    Yu-Dong Zhang

  • University of Leicester, Leicestershire, UK

    Shui-Hua Wang

  • Human Normal University, Changsha, China

    Shuai Liu

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