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

Sofiane Brahim-Belhouari; Amine Bermak; Guangfen Wei; Philip Ching Ho Chan

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

Sofiane Brahim-Belhouari, Amine Bermak, Guangfen Wei, Philip Ching Ho Chan

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › 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 Region 10 Annual International Conference, Proceedings/TENCON
Publication status	Published - 1 Dec 2004
Externally published	Yes
Event	IEEE TENCON 2004 - 2004 IEEE Region 10 Conference: Analog and Digital Techniques in Electrical Engineering - Chiang Mai, Thailand Duration: 21 Nov 2004 → 24 Nov 2004

Conference

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

Keywords

Classification
Gas sensor array
Pattern recognition
Preprocessing techniques

ASJC Scopus subject areas

General Engineering

Cite this

@inproceedings{6a51b2d4a7f34ccaae0c9385f82670ad,

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 Ching Ho}",

year = "2004",

month = dec,

day = "1",

language = "English",

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

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

}

On the use of the transient information for gas identification using microelectronic gas sensor. / Brahim-Belhouari, Sofiane; Bermak, Amine; Wei, Guangfen et al.
IEEE Region 10 Annual International Conference, Proceedings/TENCON. 2004.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › 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 Ching Ho

PY - 2004/12/1

Y1 - 2004/12/1

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 - http://www.scopus.com/inward/record.url?scp=27944442026&partnerID=8YFLogxK

M3 - Conference article published in proceeding or book

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

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

Y2 - 21 November 2004 through 24 November 2004

ER -

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

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