Gas identification with Pairwise comparison in an artificial olfactory system

M. Hassan, Amine Bermak, A. Amira

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

Abstract

An artificial olfactory system, referred to an electronic nose, is a multi-sensor platform used for gas classification. Lack of selectivity and low repeatability of the gas sensors are the major challenges in all gas identification problems. Pattern recognition algorithms are combined with a sensor array to address these challenges. The implementation of these algorithms is another challenge for the hardware friendly system. In this paper, we introduce a hardware friendly algorithm for gas identification. In this algorithm, we use sensitivity difference of any two sensors in the array as an input feature and a subset of the features is extracted by evaluating the capability of each pair of sensor to split the gases into two branches. The learning process of the pairs of sensors continues at every split point on the way until all individual gases are identified. The learned pairs of sensors at each split point are used for the identification of a new test response pattern and plurality voting is used for the distribution of the gases in cases of contention among the pairs. In order to assess the performance of our approach, a 4x4 tin-oxide gas sensor array is used to acquire the data of three gases in a laboratory. Accuracy rate of 100% is achieved with our algorithm on this experimental data set.

Original languageEnglish
Title of host publicationTesting and Measurement: Techniques and Applications - Proceedings of the 2015 International Conference on Testing and Measurement: Techniques and Applications, TMTA 2015
PublisherCRC Press/Balkema
Pages309-312
Number of pages4
ISBN (Print)9781138028128
Publication statusPublished - 2015
Externally publishedYes
EventInternational Conference on Testing and Measurement: Techniques and Applications, TMTA 2015 - Phuket Island, Thailand
Duration: 16 Jan 201517 Jan 2015

Other

OtherInternational Conference on Testing and Measurement: Techniques and Applications, TMTA 2015
CountryThailand
CityPhuket Island
Period16/1/1517/1/15

Fingerprint

Gases
Sensors
Sensor arrays
Chemical sensors
Hardware
Tin oxides
Pattern recognition

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Hassan, M., Bermak, A., & Amira, A. (2015). Gas identification with Pairwise comparison in an artificial olfactory system. In Testing and Measurement: Techniques and Applications - Proceedings of the 2015 International Conference on Testing and Measurement: Techniques and Applications, TMTA 2015 (pp. 309-312). CRC Press/Balkema.

Gas identification with Pairwise comparison in an artificial olfactory system. / Hassan, M.; Bermak, Amine; Amira, A.

Testing and Measurement: Techniques and Applications - Proceedings of the 2015 International Conference on Testing and Measurement: Techniques and Applications, TMTA 2015. CRC Press/Balkema, 2015. p. 309-312.

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

Hassan, M, Bermak, A & Amira, A 2015, Gas identification with Pairwise comparison in an artificial olfactory system. in Testing and Measurement: Techniques and Applications - Proceedings of the 2015 International Conference on Testing and Measurement: Techniques and Applications, TMTA 2015. CRC Press/Balkema, pp. 309-312, International Conference on Testing and Measurement: Techniques and Applications, TMTA 2015, Phuket Island, Thailand, 16/1/15.
Hassan M, Bermak A, Amira A. Gas identification with Pairwise comparison in an artificial olfactory system. In Testing and Measurement: Techniques and Applications - Proceedings of the 2015 International Conference on Testing and Measurement: Techniques and Applications, TMTA 2015. CRC Press/Balkema. 2015. p. 309-312
Hassan, M. ; Bermak, Amine ; Amira, A. / Gas identification with Pairwise comparison in an artificial olfactory system. Testing and Measurement: Techniques and Applications - Proceedings of the 2015 International Conference on Testing and Measurement: Techniques and Applications, TMTA 2015. CRC Press/Balkema, 2015. pp. 309-312
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