Identification of CO and NO2 using a thermally resistive microsensor and support vector machine
Al-Khalifa, Sherzad, Maldonado-Bascon, S. and Gardner, J. W.. (2003) Identification of CO and NO2 using a thermally resistive microsensor and support vector machine. IEE Proceedings - Science, Measurement and Technology, 150 (1). pp. 11-14. ISSN 1350-2344Full text not available from this repository.
Official URL: http://dx.doi.org/10.1049/ip-smt:20030004
Levels of carbon monoxide and nitrogen dioxide in air are currently monitored using two different thick-film resistive gas sensors. The resultant high power consumption of thick-film-based gas sensors is problematic for portable multi-gas monitors. The use of a single low-power thermally-modulated resistive gas sensor to monitor simultaneously both gases is reported. The silicon micromachined Substrate not only reduces the DC power consumption to 100mW Lit 300degreesC but also permits AC temperature modulation through a small thermal mass. Uniquely, a Support vector machine is employed to classify the wavelet coefficients of the AC resistive signal. This simple method permits the rapid classification of CO/NO2, gas mixtures with a high level of confidence (94% or better) using just one low-power gas microsensor. Thus demonstrating the potential application of a single low-power thermally-modulated resistive gas sensor in portable multi-gas monitors.
|Item Type:||Journal Article|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering|
|Divisions:||Faculty of Science > Engineering|
|Journal or Publication Title:||IEE Proceedings - Science, Measurement and Technology|
|Official Date:||January 2003|
|Number of Pages:||4|
|Page Range:||pp. 11-14|
|Access rights to Published version:||Restricted or Subscription Access|
Actions (login required)