High Level Synthesis Based E-Nose System for Gas Applications

Ait Si Ali, Amine, Amira, Abbes, Bensaali, Faycal, Benammar, Mohieddine, Hassan, Muhammad and Bermak, Amine (2016) High Level Synthesis Based E-Nose System for Gas Applications. In: FCCM 2016 - 24th Annual International Symposium on Field-Programmable Custom Computing Machines, 1-3 May 2016, Washington, DC, USA.

Full text not available from this repository.
Official URL: https://doi.org/10.1109/FCCM.2016.60

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.

Item Type: Conference or Workshop Item (Paper)
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 13 Apr 2018 14:30
Last Modified: 13 Apr 2018 14:30
URI: http://nrl.northumbria.ac.uk/id/eprint/33968

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