DocumentCode
2737225
Title
The Identification of Ammonia Concentration by QNN
Author
Shen, Chi-Yen ; Yang, Jen-Pin ; Hwang, Rey-Chue ; Wang, De-Lu
Author_Institution
I- Shou Univ., Kaohsiung
fYear
2007
fDate
5-7 Sept. 2007
Firstpage
272
Lastpage
272
Abstract
In this paper, the humidity interference on the ammonia sensors was studied and proposed. The shear horizontal surface acoustic wave (SH-SAW) devices coated with L-glutamic acid hydrochloride were applied as ammonia sensors. The responses to ammonia in the humid environment were positive frequency shifts and the perturbation was primarily from the elastic effect. In order to precisely estimate the ammonia in humid air, the quantum neural network (QNN) is used as the identifier and its identification results are reported.
Keywords
ammonia; chemical sensors; computerised instrumentation; elasticity; humidity; quantum computing; surface acoustic wave devices; L-glutamic acid hydrochloride; ammonia concentration identification; ammonia sensors; elastic effect; humidity interference; quantum neural network; shear horizontal surface acoustic wave devices; Acoustic sensors; Biomedical equipment; Blood; Chemical industry; Humans; Humidity; Interference; Medical services; Neural networks; Temperature sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location
Kumamoto
Print_ISBN
0-7695-2882-1
Type
conf
DOI
10.1109/ICICIC.2007.574
Filename
4427917
Link To Document