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High Level Synthesis Based E-Nose System for Gas Applications

المؤلفAli, Amine Ait Si
المؤلفAmira, Abbes
المؤلفBensaali, Faycal
المؤلفBenammar, Mohieddine
المؤلفHassan, Muhammad
المؤلفBermak, Amine
تاريخ الإتاحة2022-12-29T07:34:43Z
تاريخ النشر2016
اسم المنشورProceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/FCCM.2016.60
معرّف المصادر الموحدhttp://hdl.handle.net/10576/37813
الملخصThis 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.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعComputers
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
العنوانHigh Level Synthesis Based E-Nose System for Gas Applications
النوعConference Paper
الصفحات202-
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