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AuthorAli, Amine Ait Si
AuthorAmira, Abbes
AuthorBensaali, Faycal
AuthorBenammar, Mohieddine
AuthorAkbar, Muhammad Ali
AuthorHassan, Muhammad
AuthorBermak, Amine
Available date2022-12-29T07:34:42Z
Publication Date2015
Publication NameARPN Journal of Engineering and Applied Sciences
AbstractThe Zynq-7000 based platforms are increasingly being used in different applications including image and signal processing. The Zynq system on chip (SoC) architecture combines a processing system based on a dual core ARM Cortex processor with a programmable logic (PL) based on a Xilinx 7 series field programmable gate arrays (FPGAs). Using the Zynq platform, real-time hardware acceleration can be performed on the programmable logic and controlled by a software running on the ARM-based processing system (PS). In this paper, a design and implementation of a gas identification system on the Zynq platform which shows promising results is presented. The gas identification system is based on a 16- Array SnO2 gas sensor, principal component analysis (PCA) for dimensionality reduction and decision tree (DT) for classification. The main part of the system that will be executed on the PL for hardware acceleration takes the form of an IP developed in C and synthesized using Vivado High Level Synthesis for the conversion from C to register transfer level, a hardware design for the entire system that allows the execution of the IP on the PL and the remaining parts of the identification system on the PS is developed in Vivado using IP Integrator. The communication between the processing system and programmable logic is performed using advanced extensible interface protocol (AXI). A software application is developed and executed on the ARM processor to control the hardware acceleration on the programmable logic of the previously designed IP core and the board is programmed using Software Development Kit. The maximum accuracy achieved by the system to classify three types of gases CO, C2H6O and H2 is 96.66%. 2006-2015 Asian Research Publishing Network (ARPN).
SponsorThis paper was made possible by National Priorities Research Program (NPRP) grant No. 5 - 080 - 2 - 028 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
PublisherAsian Research Publishing Network
SubjectGas identification system
High level synthesis
Hw/sw co-design
Zynq soc
TitleDesign and implementation of a gas identification system on Zynq SoC platform
Issue Number20
Volume Number10

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