HW/SW co-design based implementation of Gas discrimination

Ait Si Ali, Amine, Amira, Abbes, Bensaali, Faycal, Benammar, Mohieddine and Bermak, Amine (2016) HW/SW co-design based implementation of Gas discrimination. In: ASAP 2016 - 27th IEEE International Conference on Application-Specific Systems, Architectures and Processors, 6th - 8th July 2016, London, UK.

Full text not available from this repository.
Official URL: https://doi.org/10.1109/ASAP.2016.7760806


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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Zynq, electronic nose, principal component analysis, decision tree, k-nearest neighbors, high level synthesis
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 13 Apr 2018 11:39
Last Modified: 11 Oct 2019 21:15
URI: http://nrl.northumbria.ac.uk/id/eprint/33962

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics