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Smart IoT for research and industry

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Smart IoT for research and industryedited by Melody Moh ... [et al.].
其他作者:	Moh, Melody.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xii, 212 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Internet of things.
電子資源:	https://doi.org/10.1007/978-3-030-71485-7
ISBN:	9783030714857$q(electronic bk.)

Smart IoT for research and industry
Smart IoT for research and industry[electronic resource] /edited by Melody Moh ... [et al.]. - Cham :Springer International Publishing :2022. - xii, 212 p. :ill. (some col.), digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8595. - EAI/Springer innovations in communication and computing..

Introduction -- IoT enabling Techniques for Real Time Navigation Approaches -- IoT services, Application & Standards -- Programming Framework for IoT -- IoT for Data Management over Web/Cloud -- IoT for Smart Home & Offices -- IoT for Retail & Supply Chain Management -- IoT for Smart Health & Challenges -- Smart Electricity & Energy Management -- IoT for innovative Agriculture prospective -- IoT for Automative Industrial Services and Applications -- Conclusion.

This book covers a variety of smart IoT applications for industry and research. For industry, the book is a guide for considering the real-time aspects of automation of application domains. The main topics covered in the industry section include real-time tracking and navigation, smart transport systems and application for GPS domains, modern electric grid control for the electricity industry, IoT prospectives for modern society, IoT for modern medical science, and IoT automation for Industry 4.0. The book then provides a summary of existing IoT research that underlines enabling technologies, such as fog computing, wireless sensor networks, data mining, context awareness, real-time analytics, virtual reality, and cellular communications. The book pertains to researchers, outcome-based academic leaders, as well as industry leaders. Covers real-time problems for industry along with unique research methodologies for furthering the field; Includes authentic research datasets for simulated applications in IoT; Features topics such as IoT for retail and supply chain management, smart health, and smart electricity & energy management.

ISBN: 9783030714857$q(electronic bk.)

Standard No.: 10.1007/978-3-030-71485-7doiSubjects--Topical Terms:

670954
Internet of things.

LC Class. No.: TK5105.8857 / .S63 2022

Dewey Class. No.: 004.678

Smart IoT for research and industry
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505 0 $a Introduction -- IoT enabling Techniques for Real Time Navigation Approaches -- IoT services, Application & Standards -- Programming Framework for IoT -- IoT for Data Management over Web/Cloud -- IoT for Smart Home & Offices -- IoT for Retail & Supply Chain Management -- IoT for Smart Health & Challenges -- Smart Electricity & Energy Management -- IoT for innovative Agriculture prospective -- IoT for Automative Industrial Services and Applications -- Conclusion.
520 $a This book covers a variety of smart IoT applications for industry and research. For industry, the book is a guide for considering the real-time aspects of automation of application domains. The main topics covered in the industry section include real-time tracking and navigation, smart transport systems and application for GPS domains, modern electric grid control for the electricity industry, IoT prospectives for modern society, IoT for modern medical science, and IoT automation for Industry 4.0. The book then provides a summary of existing IoT research that underlines enabling technologies, such as fog computing, wireless sensor networks, data mining, context awareness, real-time analytics, virtual reality, and cellular communications. The book pertains to researchers, outcome-based academic leaders, as well as industry leaders. Covers real-time problems for industry along with unique research methodologies for furthering the field; Includes authentic research datasets for simulated applications in IoT; Features topics such as IoT for retail and supply chain management, smart health, and smart electricity & energy management.
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