Abstract
The purpose of this paper is the study of the robustness of a new low complexity recognition method based on the measurement issued from an on chip 4 × 4 Tin oxide gas sensor array. 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 show more than 98% of good recognition and the robustness of the proposed approach is tested by recognizing gas measurements with simulated drift. Less than 1% of performance degradation is noted at the worst case.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008 |
| Pages | 421-424 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2008 |
| Externally published | Yes |
| Event | 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008 - Hong Kong, SAR, Hong Kong Duration: 23 Jan 2008 → 25 Jan 2008 |
Other
| Other | 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008 |
|---|---|
| Country | Hong Kong |
| City | Hong Kong, SAR |
| Period | 23/1/08 → 25/1/08 |
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ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Electrical and Electronic Engineering
Cite this
Drift invariant gas recognition technique for on chip Tin oxide gas sensor array. / Flitti, F.; Far, A.; Guo, B.; Bermak, Amine.
Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008. 2008. p. 421-424 4459584.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Drift invariant gas recognition technique for on chip Tin oxide gas sensor array
AU - Flitti, F.
AU - Far, A.
AU - Guo, B.
AU - Bermak, Amine
PY - 2008
Y1 - 2008
N2 - The purpose of this paper is the study of the robustness of a new low complexity recognition method based on the measurement issued from an on chip 4 × 4 Tin oxide gas sensor array. 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 show more than 98% of good recognition and the robustness of the proposed approach is tested by recognizing gas measurements with simulated drift. Less than 1% of performance degradation is noted at the worst case.
AB - The purpose of this paper is the study of the robustness of a new low complexity recognition method based on the measurement issued from an on chip 4 × 4 Tin oxide gas sensor array. 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 show more than 98% of good recognition and the robustness of the proposed approach is tested by recognizing gas measurements with simulated drift. Less than 1% of performance degradation is noted at the worst case.
UR - http://www.scopus.com/inward/record.url?scp=50649098868&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=50649098868&partnerID=8YFLogxK
U2 - 10.1109/DELTA.2008.24
DO - 10.1109/DELTA.2008.24
M3 - Conference contribution
SN - 0769531105
SN - 9780769531106
SP - 421
EP - 424
BT - Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008
ER -