Smart Grid and Internet of Things: 5th EAI International Conference, SGIoT 2021, Virtual Event, December 18-19, 2021, Proceedings

ISBN-13: 9783031203978 / Angielski / Miękka / 2022 / 163 str.

Yi-Bing Lin; Der-Jiunn Deng; Chao-Tung Yang

Opis

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.

Spis treści

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.