TY - GEN
T1 - Robust gas recognition using adaptive thresholding
AU - Al Yamani, Jaber Hassan J.
AU - Boussaid, Farid
AU - Bermak, Amine
PY - 2011
Y1 - 2011
N2 - We propose a simple yet robust gas recognition technique that uses adaptive thresholding to convert the outputs of a sensor array into a unique digital code. Gas recognition is achieved by simply looking for a match within a library of digital codes. The proposed technique was successfully validated using in-house tin-oxide gas sensor arrays. Experimental results show that the proposed approach mitigates the effects of sensor drift, with correct detection rates of 87.86%, 90.72%, and 95% for carbon monoxide, propane, and ethanol, respectively.
AB - We propose a simple yet robust gas recognition technique that uses adaptive thresholding to convert the outputs of a sensor array into a unique digital code. Gas recognition is achieved by simply looking for a match within a library of digital codes. The proposed technique was successfully validated using in-house tin-oxide gas sensor arrays. Experimental results show that the proposed approach mitigates the effects of sensor drift, with correct detection rates of 87.86%, 90.72%, and 95% for carbon monoxide, propane, and ethanol, respectively.
KW - Gas recognition
KW - adaptive thresholding
KW - electronic noses
KW - tin oxide gas sensor array
UR - http://www.scopus.com/inward/record.url?scp=84855896782&partnerID=8YFLogxK
U2 - 10.1109/ASQED.2011.6111756
DO - 10.1109/ASQED.2011.6111756
M3 - Conference contribution
AN - SCOPUS:84855896782
SN - 9781457701443
T3 - Proceedings of the 3rd Asia Symposium on Quality Electronic Design, ASQED 2011
SP - 258
EP - 261
BT - Proceedings of the 3rd Asia Symposium on Quality Electronic Design, ASQED 2011
T2 - 3rd Asia Symposium on Quality Electronic Design, ASQED 2011
Y2 - 19 July 2011 through 20 July 2011
ER -