High Level Synthesis Based E-Nose System for Gas Applications

Amine Ait Si Ali, Abbes Amira, Faycal Bensaali, Mohieddine Benammar, Muhammad Hassan, Amine Bermak

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

2 Citations (Scopus)

Abstract

This paper proposes a hardware/software co-design approach using the Zynq platform for the implementation of an electronic nose (EN) system based on principal component analysis (PCA) as a dimensionality reduction technique and decision tree (DT) as a classification algorithm using a 4x4 in-house fabricated sensor. The system was successfully trained and simulated in MATLAB environment prior to the implementation on the Zynq platform. High level synthesis was carried out on the proposed designs using different optimization directives including loop unrolling, array partitioning and pipelining.

Original languageEnglish
Title of host publicationProceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages202
Number of pages1
ISBN (Electronic)9781509023561
DOIs
Publication statusPublished - 16 Aug 2016
Event24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016 - Washington, United States
Duration: 1 May 20163 May 2016

Other

Other24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016
CountryUnited States
CityWashington
Period1/5/163/5/16

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ASJC Scopus subject areas

  • Hardware and Architecture

Cite this

Ali, A. A. S., Amira, A., Bensaali, F., Benammar, M., Hassan, M., & Bermak, A. (2016). High Level Synthesis Based E-Nose System for Gas Applications. In Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016 (pp. 202). [7544783] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FCCM.2016.60