DocumentCode :
1795409
Title :
Modelling for SAW sensors
Author :
Jinn-Tsong Tsai ; Kai-Yu Chiu ; Der-Ho Wu ; Jyh-Horng Chou
Author_Institution :
Dept. of Comput. Sci., Nat. Pingtung Univ. of Educ., Pingtung, Taiwan
fYear :
2014
fDate :
11-13 July 2014
Firstpage :
74
Lastpage :
75
Abstract :
A model is presented to predict the resonant frequency shift performance of surface acoustic wave (SAW) gas sensors. The results predicted by the proposed model have shown that the proposed model is accurate and effective.
Keywords :
gas sensors; surface acoustic wave sensors; SAW gas sensor; resonant frequency shift performance; surface acoustic wave gas sensor; Sensors; Surface acoustic waves; genetic learning algorithm; surface acoustic wave sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Science and Engineering (ICSSE), 2014 IEEE International Conference on
Conference_Location :
Shanghai
Type :
conf
DOI :
10.1109/ICSSE.2014.6887908
Filename :
6887908
Link To Document :
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