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A Robust and Low-Complexity Gas Recognition Technique for On-Chip Tin-Oxide Gas Sensor Array
Joint Authors
Flitti, Farid
Guo, Bin
Far, Aicha
Bermak, Amine
Source
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-10-16
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Gas recognition is a new emerging research area with many civil, military, and industrial applications.
The success of any gas recognition system depends on its computational complexity and its robustness.
In this work, we propose a new low-complexity recognition method which is tested and successfully validated for tin-oxide gas sensor array chip.
The recognition system is based on a vector angle similarity measure between the query gas and the representatives of the different gas classes.
The latter are obtained using a clustering algorithm based on the same measure within the training data set.
Experimented results on our in-house gas sensors array show more than 98% of correct recognition.
The robustness of the proposed method is tested by recognizing gas measurements with simulated drift.
Less than 1% of performance degradation is noted at the worst case scenario which represents a significant improvement when compared to the current state-of-the-art.
American Psychological Association (APA)
Flitti, Farid& Far, Aicha& Guo, Bin& Bermak, Amine. 2008. A Robust and Low-Complexity Gas Recognition Technique for On-Chip Tin-Oxide Gas Sensor Array. Journal of Sensors،Vol. 2008, no. 2008, pp.1-6.
https://search.emarefa.net/detail/BIM-473715
Modern Language Association (MLA)
Flitti, Farid…[et al.]. A Robust and Low-Complexity Gas Recognition Technique for On-Chip Tin-Oxide Gas Sensor Array. Journal of Sensors No. 2008 (2008), pp.1-6.
https://search.emarefa.net/detail/BIM-473715
American Medical Association (AMA)
Flitti, Farid& Far, Aicha& Guo, Bin& Bermak, Amine. A Robust and Low-Complexity Gas Recognition Technique for On-Chip Tin-Oxide Gas Sensor Array. Journal of Sensors. 2008. Vol. 2008, no. 2008, pp.1-6.
https://search.emarefa.net/detail/BIM-473715
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-473715