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AuthorAli, Amine Ait Si
AuthorAmira, Abbes
AuthorBensaali, Faycal
AuthorBenammar, Mohieddine
AuthorHassan, Muhammad
AuthorBermak, Amine
Available date2022-12-29T07:34:43Z
Publication Date2016
Publication NameProceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016
ResourceScopus
URIhttp://dx.doi.org/10.1109/FCCM.2016.60
URIhttp://hdl.handle.net/10576/37813
AbstractThis 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.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectComputers
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
TitleHigh Level Synthesis Based E-Nose System for Gas Applications
TypeConference Paper
Pagination202-


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