Semi-physical verification technology for dynamic performance of internet of things system

6Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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 technology and IOT engineering. The book is a valuable resource for postgraduate students in fields such as computer science and technology, control science and engineering, and information science. Moreover, it is a useful reference resource for researchers in IOT and RFID-related industries, logistics practitioners, and system integrators.

Cite

CITATION STYLE

APA

Yu, X., Wang, D., & Zhao, Z. (2018). Semi-physical verification technology for dynamic performance of internet of things system. Semi-Physical Verification Technology for Dynamic Performance of Internet of Things System (pp. 1–246). Springer Singapore. https://doi.org/10.1007/978-981-13-1759-0

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free