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

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.

Research progress of semi-physical verification technology based on photoelectric sensing.- Multi-antenna optimal receiving theory and semi-physical verification of RFID-MIMO system.- Thermodynamic analysis and semi-physical verification of the effect of temperature on dynamic performance of RFID.- Adaptive analysis and semi - physical verification of RFID multi-tag geometric distribution based on Fisher matrix.- Application of artificial neural network in RFID multi-tag distribution optimization and semi - physical verification.- Optimal distribution and semi-physical verification of RFID multi-tag based on image processing.- Application of semi-physical verification technology in other fields of internet of things.