On the use of the transient information for gas identification using microelectronic gas sensor

Sofiane Brahim-Belhouari; Amine Bermak; Guangfen Wei; Philip C.H. Chan

doi:10.1109/TENCON.2004.1414515

On the use of the transient information for gas identification using microelectronic gas sensor

Sofiane Brahim-Belhouari^*
, Amine Bermak
, Guangfen Wei
, Philip C.H. Chan

^*Corresponding author for this work

Hong Kong University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Gas identification using microelectronic gas sensor represents a big challenge for pattern recognition systems due to a number of problems mainly related to non-selectivity and the drift. The use of preprocessing can often greatly improve the recognition performance. The aim of this paper is to evaluate the performance of different preprocessing techniques using transient information for gas identification from sensor array signals. We compare the classification accuracy of three feature extraction techniques based on steady state value, transient intergrals and dynamic slope. It was found that the transient information plays a critical role in improving the classification performance. In addition the proposed dynamic slope feature extraction technique is hardware friendly which makes the prospect of building a smart gas sensor very promising.

Original language	English
Title of host publication	IEEE TENCON 2004 - 2004 IEEE Region 10 Conference Proceedings
Subtitle of host publication	Analog and Digital Techniques in Electrical Engineering
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	A693-A696
ISBN (Print)	0780385608
DOIs	https://doi.org/10.1109/TENCON.2004.1414515
Publication status	Published - 2004
Externally published	Yes
Event	2004 IEEE Region 10 Conference: Analog and Digital Techniques in Electrical Engineering, IEEE TENCON 2004 - Chiang Mai, Thailand Duration: 21 Nov 2004 → 24 Nov 2004

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume	A
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	2004 IEEE Region 10 Conference: Analog and Digital Techniques in Electrical Engineering, IEEE TENCON 2004
Country/Territory	Thailand
City	Chiang Mai
Period	21/11/04 → 24/11/04

Keywords

Classification
Gas sensor array
Pattern recognition
Preprocessing techniques

Access to Document

10.1109/TENCON.2004.1414515

Cite this

Brahim-Belhouari, S., Bermak, A., Wei, G., & Chan, P. C. H. (2004). On the use of the transient information for gas identification using microelectronic gas sensor. In IEEE TENCON 2004 - 2004 IEEE Region 10 Conference Proceedings: Analog and Digital Techniques in Electrical Engineering (pp. A693-A696). (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. A). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2004.1414515

Brahim-Belhouari, Sofiane ; Bermak, Amine ; Wei, Guangfen et al. / On the use of the transient information for gas identification using microelectronic gas sensor. IEEE TENCON 2004 - 2004 IEEE Region 10 Conference Proceedings: Analog and Digital Techniques in Electrical Engineering. Institute of Electrical and Electronics Engineers Inc., 2004. pp. A693-A696 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

@inproceedings{5374f119bb5a4aea9e1bf01811e4fc45,

title = "On the use of the transient information for gas identification using microelectronic gas sensor",

abstract = "Gas identification using microelectronic gas sensor represents a big challenge for pattern recognition systems due to a number of problems mainly related to non-selectivity and the drift. The use of preprocessing can often greatly improve the recognition performance. The aim of this paper is to evaluate the performance of different preprocessing techniques using transient information for gas identification from sensor array signals. We compare the classification accuracy of three feature extraction techniques based on steady state value, transient intergrals and dynamic slope. It was found that the transient information plays a critical role in improving the classification performance. In addition the proposed dynamic slope feature extraction technique is hardware friendly which makes the prospect of building a smart gas sensor very promising.",

keywords = "Classification, Gas sensor array, Pattern recognition, Preprocessing techniques",

author = "Sofiane Brahim-Belhouari and Amine Bermak and Guangfen Wei and Chan, \{Philip C.H.\}",

year = "2004",

doi = "10.1109/TENCON.2004.1414515",

language = "English",

isbn = "0780385608",

series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "A693--A696",

booktitle = "IEEE TENCON 2004 - 2004 IEEE Region 10 Conference Proceedings",

address = "United States",

note = "2004 IEEE Region 10 Conference: Analog and Digital Techniques in Electrical Engineering, IEEE TENCON 2004 ; Conference date: 21-11-2004 Through 24-11-2004",

}

Brahim-Belhouari, S, Bermak, A, Wei, G & Chan, PCH 2004, On the use of the transient information for gas identification using microelectronic gas sensor. in IEEE TENCON 2004 - 2004 IEEE Region 10 Conference Proceedings: Analog and Digital Techniques in Electrical Engineering. IEEE Region 10 Annual International Conference, Proceedings/TENCON, vol. A, Institute of Electrical and Electronics Engineers Inc., pp. A693-A696, 2004 IEEE Region 10 Conference: Analog and Digital Techniques in Electrical Engineering, IEEE TENCON 2004, Chiang Mai, Thailand, 21/11/04. https://doi.org/10.1109/TENCON.2004.1414515

On the use of the transient information for gas identification using microelectronic gas sensor. / Brahim-Belhouari, Sofiane; Bermak, Amine; Wei, Guangfen et al.
IEEE TENCON 2004 - 2004 IEEE Region 10 Conference Proceedings: Analog and Digital Techniques in Electrical Engineering. Institute of Electrical and Electronics Engineers Inc., 2004. p. A693-A696 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. A).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - On the use of the transient information for gas identification using microelectronic gas sensor

AU - Brahim-Belhouari, Sofiane

AU - Bermak, Amine

AU - Wei, Guangfen

AU - Chan, Philip C.H.

PY - 2004

Y1 - 2004

N2 - Gas identification using microelectronic gas sensor represents a big challenge for pattern recognition systems due to a number of problems mainly related to non-selectivity and the drift. The use of preprocessing can often greatly improve the recognition performance. The aim of this paper is to evaluate the performance of different preprocessing techniques using transient information for gas identification from sensor array signals. We compare the classification accuracy of three feature extraction techniques based on steady state value, transient intergrals and dynamic slope. It was found that the transient information plays a critical role in improving the classification performance. In addition the proposed dynamic slope feature extraction technique is hardware friendly which makes the prospect of building a smart gas sensor very promising.

AB - Gas identification using microelectronic gas sensor represents a big challenge for pattern recognition systems due to a number of problems mainly related to non-selectivity and the drift. The use of preprocessing can often greatly improve the recognition performance. The aim of this paper is to evaluate the performance of different preprocessing techniques using transient information for gas identification from sensor array signals. We compare the classification accuracy of three feature extraction techniques based on steady state value, transient intergrals and dynamic slope. It was found that the transient information plays a critical role in improving the classification performance. In addition the proposed dynamic slope feature extraction technique is hardware friendly which makes the prospect of building a smart gas sensor very promising.

KW - Classification

KW - Gas sensor array

KW - Pattern recognition

KW - Preprocessing techniques

UR - https://www.scopus.com/pages/publications/27944442026

U2 - 10.1109/TENCON.2004.1414515

DO - 10.1109/TENCON.2004.1414515

M3 - Conference contribution

AN - SCOPUS:27944442026

SN - 0780385608

T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON

SP - A693-A696

BT - IEEE TENCON 2004 - 2004 IEEE Region 10 Conference Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2004 IEEE Region 10 Conference: Analog and Digital Techniques in Electrical Engineering, IEEE TENCON 2004

Y2 - 21 November 2004 through 24 November 2004

ER -

Brahim-Belhouari S, Bermak A, Wei G, Chan PCH. On the use of the transient information for gas identification using microelectronic gas sensor. In IEEE TENCON 2004 - 2004 IEEE Region 10 Conference Proceedings: Analog and Digital Techniques in Electrical Engineering. Institute of Electrical and Electronics Engineers Inc. 2004. p. A693-A696. (IEEE Region 10 Annual International Conference, Proceedings/TENCON). doi: 10.1109/TENCON.2004.1414515

On the use of the transient information for gas identification using microelectronic gas sensor

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Keywords

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