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Smart Device Recognition

Ubiquitous Electric Internet of Things

  • Book
  • © 2021

Overview

  • Provides a detailed introduction to and analysis of various advanced technologies for smart device recognition
  • Evaluates state-of-the-art smart device recognition technologies on the basis of experimental cases
  • Presents the potential applications of smart device recognition technologies in industry

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Table of contents (9 chapters)

Keywords

About this book

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.

 

Authors and Affiliations

  • Institute of Artificial Intelligence and Robotics, School of Traffic and Transportation Engineering, Central South University, Changsha, China

    Hui Liu, Chengming Yu, Haiping Wu

About the authors

Prof. Hui Liu is a professor of Robotics & Artificial Intelligence, Central South University, China; Vice dean, Faculty of Traffic & Transportation Engineering, Central South University, China. He holds double PhD degrees from the Central South University in China and the University of Rostock in Germany, and obtained habilitation degree on automation from the University of Rostock. He published over 80 articles in leading journals, as well as four monographs in Elsevier or Springer press. He holds 56 Chinese invention patents in the fields of artificial intelligence, smart cities, non-intrusive load monitoring, smart grid, and time series big data (as the first inventor). He is an associate editor of the journal Transportation Safety & Environment (Oxford University Press), and a committee member of more than 30 international flagship academic conferences.

Mr. Chengming Yu is Scientist in the research group ‘Non-Intrusive Load Monitoring & Artificial Intelligence,’ CentralSouth University, China.

Mr. Haiping Wu is Scientist in the research group ‘Non-Intrusive Load Monitoring & Artificial Intelligence,’ Central South University, China.

Bibliographic Information

  • Book Title: Smart Device Recognition

  • Book Subtitle: Ubiquitous Electric Internet of Things

  • Authors: Hui Liu, Chengming Yu, Haiping Wu

  • DOI: https://doi.org/10.1007/978-981-33-4925-4

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Science Press and Springer Nature Singapore Pte Ltd. 2021

  • Hardcover ISBN: 978-981-33-4924-7Published: 13 December 2020

  • Softcover ISBN: 978-981-33-4927-8Published: 14 December 2021

  • eBook ISBN: 978-981-33-4925-4Published: 12 December 2020

  • Edition Number: 1

  • Number of Pages: XV, 294

  • Number of Illustrations: 61 b/w illustrations, 107 illustrations in colour

  • Topics: Cyber-physical systems, IoT, Professional Computing, Artificial Intelligence, Computational Intelligence

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