Xiaolei Yu

Semi-physical Verification Technology for Dynamic Performance of Internet of Things System

Ebook (PDF Format)

This book combines semi-physical simulation technology with an Internet of Things (IOT) application system based on novel mathematical methods such as the Fisher matrix, artificial neural networks, thermodynamic analysis, support vector machines, and image processing algorithms. The dynamic testing and semi-physical verification of the theory and application were conducted for typical IOT systems such as RFID systems, Internet of Vehicles systems, and two-dimensional barcode recognition systems. The findings presented are of great scientific significance and have wide application potential for solving bottlenecks in the development of RFID te… Mehr

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Produktdetails

Weitere Autoren: Wang, Donghua / Zhao, Zhimin

ISBN: 978-981-1317-59-0
EAN: 9789811317590
Produktnummer: 28596774
Verlag: Springer-Verlag GmbH
Sprache: Englisch
Erscheinungsjahr: 2018
Seitenangabe: 246 S.
Originaltitel: ¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿¿
Plattform: PDF
Masse: 8'924 KB
Auflage: 1st ed. 2019
Abbildungen: 58 schwarz-weiße und 100 farbige Abbildungen, 150 farbige Tabellen, Bibliographie

Über den Autor

Xiaolei Yu obtained his doctorate degree in Electrical and Electronic Engineering as a joint student of the University of Melbourne and Nanjing University of Aeronautics and Astronautics in 2011. He is now an Assistant Professor at Nanjing University of Aeronautics and Astronautics as well as the Chief Executive Engineer of China National RFID Product Quality Supervision and Testing Center (Jiangsu). His research interests include intelligent sensor networks, signal detection technology, adaptive algorithms, and image processing algorithms. He holds 15 patents and has published more than 40 academic papers, including 20 SCI papers in leading academic journals and international conferences.