Smart Grid and Internet of Things [electronic resource] : 5th EAI International Conference, SGIoT 2021, Virtual Event, December 18-19, 2021, Proceedings / edited by Yi-Bing Lin, Der-Jiunn Deng, Chao-Tung Yang.

Applications on Internet of Things -- Intellectual Property Protection of Zhuang Nationality Funeral Culture on Internet of Things -- China IoT UBI Car Insurance Regulatory Development Trend -- Constructing a violence recognition technique for elderly patients with lower limb disability -- Aquaculture Monitoring Systems based on Lightweight Kubernetes and Rancher -- Design and Implementation of Water Monitoring Using LoRa and NB-IoT -- InterWorking Function for Mission Critical Push To Talk Services -- Communication Security, Big Data, Neural Networks and Machine Learning -- Lightweight Privacy-Preserving Data Aggregation Scheme Based on Elliptic Curve Cryptography for Smart Grid Communications -- Design and Implementation of Distributed Image Recognition App with Federal Learning Techniques -- Improving Vision Clarity and Object Detection Accuracy in Heavy Rain Base on Neural Network -- An Enhanced Location-data Differential Privacy Protection Method Based on Filter -- Big data grave register information management system outside cemeteries under Internet of Things -- Machine Learning-based Models for Monofacial and Bifacial PV Module and Critical Model Feature Selection -- Study on the discovery of personal information on the network of people diagnosed with COVID-19.

This book constitutes the refereed proceedings of the 5th EAI International Conference on Smart Grid and Internet of Things, SGIoT 2021, held in TaiChung, Taiwan, in December 2021. The 9 regular papers and 4 short papers presented were carefully reviewed and selected from 57 submissions. The papers cover a broad range of topics in wireless sensor, vehicular ad hoc networks, security, deep learning and big data. The papers are organized in two subject areas: applications on internet of things, and communication security, big data, neural networks and machine learning.