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Enabling technologies for social distancing : fundamentals, concepts and solutions / edited by Diep N. Nguyen [and five others].

Published
London, United Kingdom : The Institution of Engineering and Technology, 2022.
Physical Description
1 online resource
Additional Creators
Nguyen, Diep N.
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Summary
The latest advances in several emerging technologies such as AI, blockchain, privacy-preserving algorithms used in localization and positioning systems, cloud computing and computer vision all have great potential in facilitating social distancing. Benefits range from supporting people to work from home to monitoring micro- and macro- movements such as contact tracing apps using Bluetooth, tracking the movement and transportation level of a city and wireless positioning systems to help people keep a safe distance by alerting them when they are too close to each other or to avoid congestion. However, implementing such technologies in practical scenarios still faces various challenges. This book aims to lay the foundations of how these technologies could be adopted to realize and facilitate social distancing to better manage pandemics and future outbreaks. Starting with basic concepts, models and practical technology-based social distancing scenarios, the authors present enabling wireless technologies and solutions which could be widely adopted to encourage social distancing. They include symptom prediction, detection and monitoring of quarantined people and contact tracing. In the future, smart infrastructures for next-generation wireless systems should incorporate a pandemic mode in their standard architecture and design.
Subject(s)
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ISBN
9781839534911 electronic book
1839534915 electronic book
9781839534904
1839534907
Bibliography Note
Includes bibliographical references and index.
View MARC record | catkey: 43304232