Please use this identifier to cite or link to this item: http://ir.unikl.edu.my/jspui/handle/123456789/11993
metadata.conference.dc.title: Development of Fuzzy Logic Based Odor Detection
metadata.conference.dc.contributor.*: Azahar T. M.
Norlaila Ashikin, M. S
Nuwairah, A.
(UniKL MFI)
metadata.conference.dc.subject: Fuzzy Logic
Fuzzy Logic
Gas Sensors
metadata.conference.dc.date.issued: Dec-2015
metadata.conference.dc.publisher: Universiti Kuala Lumpur Publishing
metadata.conference.dc.identifier.citation: Journal of Science & Engineering Technology JSET Vol: 02 No: 02
metadata.conference.dc.description.abstract: The development of electronic nose technologies has come through advances in sensor design, material improvements and software innovations. The integration of fuzzy logic technique in the electronic nose gives a new perspective way on the development of electronic nose. Fuzzy logic is one of the techniques in Artificial Intelligent that widely used to control environmental factors. The effectiveness of fuzzy logic has been proven through a lot of creations of intelligent System using fuzzy logic approach such rice cooker, washing machine etc. The purpose of this project is to develop a fuzzy logic based electronic nose able to detect the different odor produced by different chemical vapor. Three gas sensors are used in this project. This study focused on evaluating the possibility of using different gas sensors to detect odor produced by three different materials which are gasoline, perfume and coke. The inputs value from these sensors will then fused using fuzzy logic controller. The fuzzification process will be performed using Mamdani style. The result of this project will be display in form of percentage value at LCD display and will be compared tothe result of simulation by Matlab.
metadata.conference.dc.description: Full text also available at http://jset.mfi.edu.my/index.php/view-journal-2. JSET is open access journal published by Universiti Kuala Lumpur Publishing
metadata.conference.dc.identifier.uri: http://ir.unikl.edu.my/jspui/handle/123456789/11993
metadata.conference.dc.identifier.issn: 24621374
Appears in Collections:Journal Articles

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