A comparative study of density models for gas identification using microelectronic gas sensor

S. Brahim-Belhouari, Amine Bermak, Guangfen Wei, P. C H Chan

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

3 Citations (Scopus)

Abstract

The aim of this paper is to compare the accuracy of a range of advanced density models for gas identification from sensor array signals. Density estimation is applied in the construction of classifiers through the use of Bayes rule. Experiments on real sensors' data has proved the effectiveness of the approach with an excellent classification performance. We compare the classification accuracy of four density models, Gaussian mixture models, generative topographic mapping, probabilistic PCA mixture and k nearest neighbors. On our gas sensors data, the best performance was achieved by the Gaussian mixture models.

Original languageEnglish
Title of host publicationProceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages138-141
Number of pages4
ISBN (Electronic)0780382927, 9780780382923
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003 - Darmstadt, Germany
Duration: 14 Dec 200317 Dec 2003

Other

Other3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003
CountryGermany
CityDarmstadt
Period14/12/0317/12/03

Fingerprint

Chemical sensors
Microelectronics
Identification (control systems)
Gases
Sensor arrays
Classifiers
Sensors
Experiments

Keywords

  • Brain modeling
  • Gas detectors
  • Linear discriminant analysis
  • Microelectronics
  • Nearest neighbor searches
  • Pattern recognition
  • Principal component analysis
  • Sensor arrays
  • Signal processing
  • Thin film sensors

ASJC Scopus subject areas

  • Signal Processing

Cite this

Brahim-Belhouari, S., Bermak, A., Wei, G., & Chan, P. C. H. (2003). A comparative study of density models for gas identification using microelectronic gas sensor. In Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003 (pp. 138-141). [1341079] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISSPIT.2003.1341079

A comparative study of density models for gas identification using microelectronic gas sensor. / Brahim-Belhouari, S.; Bermak, Amine; Wei, Guangfen; Chan, P. C H.

Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003. Institute of Electrical and Electronics Engineers Inc., 2003. p. 138-141 1341079.

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

Brahim-Belhouari, S, Bermak, A, Wei, G & Chan, PCH 2003, A comparative study of density models for gas identification using microelectronic gas sensor. in Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003., 1341079, Institute of Electrical and Electronics Engineers Inc., pp. 138-141, 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003, Darmstadt, Germany, 14/12/03. https://doi.org/10.1109/ISSPIT.2003.1341079
Brahim-Belhouari S, Bermak A, Wei G, Chan PCH. A comparative study of density models for gas identification using microelectronic gas sensor. In Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003. Institute of Electrical and Electronics Engineers Inc. 2003. p. 138-141. 1341079 https://doi.org/10.1109/ISSPIT.2003.1341079
Brahim-Belhouari, S. ; Bermak, Amine ; Wei, Guangfen ; Chan, P. C H. / A comparative study of density models for gas identification using microelectronic gas sensor. Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003. Institute of Electrical and Electronics Engineers Inc., 2003. pp. 138-141
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