A real-time architecture of SOC selective gas sensor array using KNN based on the dynamic slope and the steady state response

Shi Minghua; Amine Bermak; Sofiane Brahim-Belhouari

A real-time architecture of SOC selective gas sensor array using KNN based on the dynamic slope and the steady state response

Shi Minghua^*, Amine Bermak, Sofiane Brahim-Belhouari

^*Corresponding author for this work

Hong Kong University of Science and Technology

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

4 Citations (Scopus)

Abstract

This paper demonstrates that using the dynamic response together with the steady state response greatly improves the classification performance of gas sensors. We propose a SOC VLSI architecture based on the KNN algorithm and operating on both the steady state and the dynamic slope response of the data from the gas sensor array. The architecture is based on a current mode analog pipelining strategy which allows to share hardware resources between different sensors within the sensor array. This results in significant area savings making the prospect of building low cost and real-time electronic nose microsystems reasonably achievable.

Original language	English
Title of host publication	Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004
Editors	W. Badawy, Y. Ismail
Pages	29-32
Number of pages	4
Publication status	Published - 2004
Externally published	Yes
Event	Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004 - Banff, Alta, Canada Duration: 19 Jul 2004 → 21 Jul 2004

Publication series

Name	Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004

Conference

Conference	Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004
Country/Territory	Canada
City	Banff, Alta
Period	19/07/04 → 21/07/04

Cite this

Minghua, S., Bermak, A., & Brahim-Belhouari, S. (2004). A real-time architecture of SOC selective gas sensor array using KNN based on the dynamic slope and the steady state response. In W. Badawy, & Y. Ismail (Eds.), Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004 (pp. 29-32). (Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004).

Minghua, Shi ; Bermak, Amine ; Brahim-Belhouari, Sofiane. / A real-time architecture of SOC selective gas sensor array using KNN based on the dynamic slope and the steady state response. Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004. editor / W. Badawy ; Y. Ismail. 2004. pp. 29-32 (Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004).

@inproceedings{e094f10fe0074211a8223e8cb570e975,

title = "A real-time architecture of SOC selective gas sensor array using KNN based on the dynamic slope and the steady state response",

abstract = "This paper demonstrates that using the dynamic response together with the steady state response greatly improves the classification performance of gas sensors. We propose a SOC VLSI architecture based on the KNN algorithm and operating on both the steady state and the dynamic slope response of the data from the gas sensor array. The architecture is based on a current mode analog pipelining strategy which allows to share hardware resources between different sensors within the sensor array. This results in significant area savings making the prospect of building low cost and real-time electronic nose microsystems reasonably achievable.",

author = "Shi Minghua and Amine Bermak and Sofiane Brahim-Belhouari",

year = "2004",

language = "English",

isbn = "0769521827",

series = "Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004",

pages = "29--32",

editor = "W. Badawy and Y. Ismail",

booktitle = "Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004",

note = "Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004 ; Conference date: 19-07-2004 Through 21-07-2004",

}

Minghua, S, Bermak, A & Brahim-Belhouari, S 2004, A real-time architecture of SOC selective gas sensor array using KNN based on the dynamic slope and the steady state response. in W Badawy & Y Ismail (eds), Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004. Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004, pp. 29-32, Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004, Banff, Alta, Canada, 19/07/04.

A real-time architecture of SOC selective gas sensor array using KNN based on the dynamic slope and the steady state response. / Minghua, Shi; Bermak, Amine; Brahim-Belhouari, Sofiane.
Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004. ed. / W. Badawy; Y. Ismail. 2004. p. 29-32 (Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004).

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

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T1 - A real-time architecture of SOC selective gas sensor array using KNN based on the dynamic slope and the steady state response

AU - Minghua, Shi

AU - Bermak, Amine

AU - Brahim-Belhouari, Sofiane

PY - 2004

Y1 - 2004

N2 - This paper demonstrates that using the dynamic response together with the steady state response greatly improves the classification performance of gas sensors. We propose a SOC VLSI architecture based on the KNN algorithm and operating on both the steady state and the dynamic slope response of the data from the gas sensor array. The architecture is based on a current mode analog pipelining strategy which allows to share hardware resources between different sensors within the sensor array. This results in significant area savings making the prospect of building low cost and real-time electronic nose microsystems reasonably achievable.

AB - This paper demonstrates that using the dynamic response together with the steady state response greatly improves the classification performance of gas sensors. We propose a SOC VLSI architecture based on the KNN algorithm and operating on both the steady state and the dynamic slope response of the data from the gas sensor array. The architecture is based on a current mode analog pipelining strategy which allows to share hardware resources between different sensors within the sensor array. This results in significant area savings making the prospect of building low cost and real-time electronic nose microsystems reasonably achievable.

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M3 - Conference contribution

AN - SCOPUS:10444266009

SN - 0769521827

T3 - Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004

SP - 29

EP - 32

BT - Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004

A2 - Badawy, W.

A2 - Ismail, Y.

T2 - Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004

Y2 - 19 July 2004 through 21 July 2004

ER -

Minghua S, Bermak A, Brahim-Belhouari S. A real-time architecture of SOC selective gas sensor array using KNN based on the dynamic slope and the steady state response. In Badawy W, Ismail Y, editors, Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004. 2004. p. 29-32. (Proceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004).

A real-time architecture of SOC selective gas sensor array using KNN based on the dynamic slope and the steady state response

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