Title :
Investigation of Rayleigh surface acoustic wave sensors for NO gas sensing applications
Author :
Shen, Chi-Yen ; Yang, Jen-Pin ; Chen, Jian-Jhong ; Huang, Yu-Fong ; Wang, Shuming T. ; Hwang, Rey-Chue
Author_Institution :
Dept. of Electr. Eng., I-Shou Univ., Kaohsiung, Taiwan
Abstract :
This paper presents the estimation of the interference of NH3 on the detection of NO by using neural network (NN) model. The NO Rayleigh surface acoustic wave (RSAW) sensor coated with polyaniline/WO3 (PANI/WO3) nanocomposite was employed as the detection sensor. The data sensed by RSAW sensor was collected and implemented and the detection property of the RSAW sensor was studied at room temperature. A neural network RSAW identifier is expected to be created in order to estimate the interference of NH3 on the NO detection of the RSAW sensor.
Keywords :
Rayleigh waves; gas sensors; neural nets; nitrogen compounds; surface acoustic wave sensors; tungsten compounds; NH3; NO; NO detection; NO gas sensing; Rayleigh surface acoustic wave sensors; WO3; interference estimation; neural network model; polyaniline/WO3 nanocomposite; Artificial neural networks; Gas detectors; Interference; Surface acoustic waves; Temperature sensors; NO Rayleigh surface acoustic wave; estimation; interference; neural network;
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-0893-0
DOI :
10.1109/ICSPCC.2011.6061568
