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Edge Computing and IoT: Systems, Management and Security de Kaishun Wu

Edge Computing and IoT: Systems, Management and Security: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, cartea 437

Editat de Kaishun Wu, Lu Wang, Yanjiao Chen
en Limba Engleză Paperback – 7 mai 2022
This book constitutes the refereed post-conference proceedings of the 2nd International Conference on Edge Computing and IoT, ICECI 2021, held in December 2021 in Shenzhen, China. Due to COVID-19 pandemic the conference was held virtually. The explosion of the big data generated by ubiquitous edge devices motivates the emergence of applying machine learning systems for edge computing and Internet of Things (IoT) services. Machine learning techniques are delivering a promising solution to the industry for building IoT systems and to make innovation at a rapid pace. The 12 full papers of ICECI 2021 were selected from 26 submissions and present results and ideas in the area of edge computing and IoT.
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Specificații

ISBN-13: 9783031042300
ISBN-10: 3031042301
Pagini: 148
Ilustrații: X, 137 p. 66 illus., 48 illus. in color.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.24 kg
Ediția:1st edition 2022
Editura: Springer
Colecția Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Seria Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Locul publicării:Cham, Switzerland

Cuprins

An Improved Audio Processing Method for Campus Broadcast System.- Committee Selection Based on Game Theory in Sharding Blockchain.- Green Transition Driven Carbon Trading Mechanism and Design Based on Urban Vehicle Trajectory Data.- Matching with Externalities for Device Assignment in IoT Sharding Blockchain.- Openflow-extended Queue Scheduling for Multi-tenants in Access Network.- Research and Improvement on detection algorithm of SCMA System.- A Survey of Adversarial Attacks on Wireless Communications.- Adversarial Examples in Wireless Networks: A Comprehensive Survey.- Headmotion: Human-machine interaction requires only your head movement.- Implementation of the bone grid reconstruction based on CT data.- Intelligent Vocal Training Assistant System.- Wearable-based Human Emotion Inference System.
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