Multimedia Technology and Enhanced Learning: Second EAI International Conference, ICMTEL 2020, Leicester, UK, April 10-11, 2020, Proceedings, Part I [Paperback]

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.Multimedia Technology and Enhanced Learning.- Identification of Tea Leaf Based on Histogram Equalization, Gray-Level Co-occurrence Matrix and Support Vector Machine Algorithm.-Research on durability test for composite pipe fitting materials of automobile.- Method for extracting information of database of smart phone terminal in lock screen mode.-Quality Detection method of Phase change Energy Storage and Thermal Insulation Building Materials based on Neural Network.- Automatic Monitoring system of vehicle Pollutant Emissionbased on Fusion algorithm.- Research on Multi-source Heterogeneous Sensor Information Fusion Method under Internet of Things Technology.-Analysis of Guangdong-Hong Kong-Macau Greater Bay Areas Economic growth trend based on big data Mining.- Analysis on the Development Path of Urban Agglomeration in Gulf Region of Guangdong, Hong Kong, Macao under thebackground of Big Data.- Research on Intelligent diagnosis of Fault data of large and medium-sized pumping stations under Information Evaluation system.- On-line Monitoring method of Power Transformer Insulation Fault based on Bayesian Network.- Mining and analyzing behavior patterns of smart home users based on cloud computing.- Research on Behavior Recognition Method Based on Machine Learning and Fisher Vector Coding.-  A Local Occlusion Face Image Recognition Algorithm.- Based on the Recurrent Neural Network.-  Analysis ol#‰