Robust gas recognition using adaptive thresholding

Jaber Hassan J Al Yamani, Farid Boussaid, Amine Bermak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 3rd Asia Symposium on Quality Electronic Design, ASQED 2011
Pages258-261
Number of pages4
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event3rd Asia Symposium on Quality Electronic Design, ASQED 2011 - Kuala Lumpur, Malaysia
Duration: 19 Jul 201120 Jul 2011

Other

Other3rd Asia Symposium on Quality Electronic Design, ASQED 2011
CountryMalaysia
CityKuala Lumpur
Period19/7/1120/7/11

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Keywords

  • adaptive thresholding
  • electronic noses
  • Gas recognition
  • tin oxide gas sensor array

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Al Yamani, J. H. J., Boussaid, F., & Bermak, A. (2011). Robust gas recognition using adaptive thresholding. In Proceedings of the 3rd Asia Symposium on Quality Electronic Design, ASQED 2011 (pp. 258-261). [6111756] https://doi.org/10.1109/ASQED.2011.6111756