High Level Synthesis Based E-Nose System for Gas Applications

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

doi:10.1109/FCCM.2016.60

High Level Synthesis Based E-Nose System for Gas Applications

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

CSE Information & Computing Technology

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

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 language	English
Title of host publication	Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	202
Number of pages	1
ISBN (Electronic)	9781509023561
DOIs	https://doi.org/10.1109/FCCM.2016.60
Publication status	Published - 16 Aug 2016
Event	24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016 - Washington, United States Duration: 1 May 2016 → 3 May 2016

Publication series

Name	Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016

Conference

Conference	24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016
Country/Territory	United States
City	Washington
Period	1/05/16 → 3/05/16

Access to Document

10.1109/FCCM.2016.60

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). Article 7544783 (Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FCCM.2016.60

Ali, Amine Ait Si ; Amira, Abbes ; Bensaali, Faycal et al. / High Level Synthesis Based E-Nose System for Gas Applications. Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 202 (Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016).

@inproceedings{0f30606307c446cc81b9bfbf2584d725,

title = "High Level Synthesis Based E-Nose System for Gas Applications",

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.",

author = "Ali, {Amine Ait Si} and Abbes Amira and Faycal Bensaali and Mohieddine Benammar and Muhammad Hassan and Amine Bermak",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016 ; Conference date: 01-05-2016 Through 03-05-2016",

year = "2016",

month = aug,

day = "16",

doi = "10.1109/FCCM.2016.60",

language = "English",

series = "Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016",

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

pages = "202",

booktitle = "Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016",

address = "United States",

}

Ali, AAS, 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., 7544783, Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016, Institute of Electrical and Electronics Engineers Inc., pp. 202, 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016, Washington, United States, 1/05/16. https://doi.org/10.1109/FCCM.2016.60

High Level Synthesis Based E-Nose System for Gas Applications. / Ali, Amine Ait Si; Amira, Abbes; Bensaali, Faycal et al.
Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 202 7544783 (Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016).

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

TY - GEN

T1 - High Level Synthesis Based E-Nose System for Gas Applications

AU - Ali, Amine Ait Si

AU - Amira, Abbes

AU - Bensaali, Faycal

AU - Benammar, Mohieddine

AU - Hassan, Muhammad

AU - Bermak, Amine

PY - 2016/8/16

Y1 - 2016/8/16

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84987653287&partnerID=8YFLogxK

U2 - 10.1109/FCCM.2016.60

DO - 10.1109/FCCM.2016.60

M3 - Conference contribution

AN - SCOPUS:84987653287

T3 - Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016

SP - 202

BT - Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016

Y2 - 1 May 2016 through 3 May 2016

ER -

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

High Level Synthesis Based E-Nose System for Gas Applications

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this