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

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

3 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 languageEnglish
Title of host publicationProceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004
EditorsW. Badawy, Y. Ismail
Pages29-32
Number of pages4
Publication statusPublished - 2004
Externally publishedYes
EventProceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004 - Banff, Alta, Canada
Duration: 19 Jul 200421 Jul 2004

Other

OtherProceedings - 4th IEEE International Workshop on System-on-Chip for Real-Time Applications, IWSOC 2004
CountryCanada
CityBanff, Alta
Period19/7/0421/7/04

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ASJC Scopus subject areas

  • Engineering(all)

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)