Smart Device Recognition
Ubiquitous Electric Internet of Things
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71 001 Ft
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Product details:
- Edition number 1st ed. 2021
- Publisher Springer Nature Singapore
- Date of Publication 14 December 2021
- Number of Volumes 1 pieces, Book
- ISBN 9789813349278
- Binding Paperback
- See also 9789813349247
- No. of pages294 pages
- Size 235x155 mm
- Weight 480 g
- Language English
- Illustrations XV, 294 p. 168 illus., 107 illus. in color. Illustrations, black & white 212
Categories
Long description:
The book is the first international reference on the field of smart device recognition and Ubiquitous Electric Internet of Things (UEIOT). It presents a range of state-of-the-art key methods and applications for smart device recognition. In future smart environments, obtaining energy consumption information for identifying every device is an effective approach to guarantee the energy efficiency of smart industrial systems. Such as, the Ubiquitous Electric Internet of Things (UEIOT) technology represents one of the most effective measures for electricity and energy management and has attracted considerable attention from scientists and engineers around the world. The realization of smart device recognition in the UEIOT framework has become the core and basis of UEIOT’s success. The device smart recognition can help governments and managers to distribute energy and power better, and help device manufacturers to improve their products regarding smart energy conservation. Accordingly, in the future smart industry, implementing smart device recognition is desired and very important. In the book, several methods, strategies, and experiments for achieving smart device recognition are presented in details. As the first monograph in the field of smart device recognition, the book can provide beneficial reference for students, engineers, scientists, and managers in the fields of power, energy, electromechanical devices, smart cities, artificial intelligence, etc.
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Table of Contents:
Introduction.- Smart non-intrusive device recognition based on physical methods.- Smart non-intrusive device recognition based on intelligent single-label classification methods.-Smart non-intrusive device recognition based on intelligent multi-label classification methods
