HW/SW co-design based implementation of Gas discrimination
Author | Ali, Amine Ait Si |
Author | Amira, Abbes |
Author | Bensaali, Faycal |
Author | Benammar, Mohieddine |
Author | Bermak, Amine |
Available date | 2021-04-11T11:07:18Z |
Publication Date | 2016 |
Publication Name | Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors |
Resource | Scopus |
Abstract | A gas discrimination system is mainly made of two parts, the sensing part and the processing part. As an alternative solution to pure software or hardware implementation of the processing part of a gas identification system, this paper proposes a gas discrimination system and its implementation on the Zynq system on chip platform using hardware/software co-design approach. In addition, the recommended system uses principal component analysis for dimensionality reduction, binary decision tree for classification and a 4�4 in-house gas sensor array for sensing. Moreover, k-nearest neighbors classifier is also used and compared with decision tree. MATLAB is used for simulation and validation before the final implementation on the Zynq. Algorithms are implemented using high level synthesis and different optimization directives are applied. Hardware implementation results on the Zynq show that real-time performances can be achieved for proposed e-nose system using hardware/software co-design approach with a single ARM processor running at 667 MHz and the programmable logic running at 142 MHz. |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | decision tree electronic nose high level synthesis k-nearest neighbors principal component analysis Zynq |
Type | Conference Paper |
Pagination | 237-238 |
Volume Number | 2016-November |
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Computer Science & Engineering [2286 items ]