High Level Synthesis Based E-Nose System for Gas Applications
Author | Ali, Amine Ait Si |
Author | Amira, Abbes |
Author | Bensaali, Faycal |
Author | Benammar, Mohieddine |
Author | Hassan, Muhammad |
Author | Bermak, Amine |
Available date | 2022-12-29T07:34:43Z |
Publication Date | 2016 |
Publication Name | Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016 |
Resource | 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. 2016 IEEE. |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | Computers Data mining Decision trees Electronic nose Hardware-software codesign High level synthesis MATLAB Trees (mathematics) Classification algorithm Dimensionality reduction techniques Electronic nose systems In-house fabricated sensors Loop unrolling MATLAB environment Principal component analysis |
Type | Conference Paper |
Pagination | 202- |
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Electrical Engineering [2649 items ]