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Decisive Dynamic Features from Complex Sensing Signals
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European Journal of Applied Engineering and Scientific Research

Editorial - European Journal of Applied Engineering and Scientific Research ( 2021) Volume 9, Issue 12

Decisive Dynamic Features from Complex Sensing Signals

Junhui Hu
 
Nanjing University of Aeronautics and Astronautics, China
 

Received: 01-Dec-2021 Published: 22-Dec-2021

Abstract

Gas identification is one of the most important functions of a gas sensor system. To identify gas species from sensing signals without gas flow control such as pumps or mass flow controllers, it is necessary to extract decisive dynamic features from complex sensing signals due to uncontrolled airflow. For that purpose, various analysis methods using system identification techniques have been proposed, whereas a method that is not affected by a gas input pattern has been demanded to enhance the robustness of gas identification. Here we develop a novel gas identification protocol based on a transfer function ratio (TFR) that is intrinsically independent of a gas input pattern.

Biography

Junhui Hu received his Ph.D. Degree from Tokyo Institute of Technology, Japan, in 1997, and B. E. and M. E. degrees from Zhejiang University, China, in 1986 and 1989, respectively. Currently he is a Chang-Jiang Distinguished Professor, and the deputy director of a State Key Laboratory in Nanjing University of Aeronautics and Astronautics, China. His research interest is in ultrasonic sensors and actuators, ultrasonic manipulations, etc. He is the author and co-author of more than 300 papers, disclosed patents and books, including more than 100 SCI journal papers. He is also the sole author of monograph ‚??Ultrasonic Micro/Nano Manipulations‚?Ě.