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Development of Fuzzy Logic Based Odor Detection

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dc.contributor.author Azahar T. M.
dc.contributor.author Norlaila Ashikin, M. S
dc.contributor.author Nuwairah, A.
dc.contributor.author (UniKL MFI)
dc.date.accessioned 2016-02-26T02:50:44Z
dc.date.available 2016-02-26T02:50:44Z
dc.date.issued 2015-12
dc.identifier.citation Journal of Science & Engineering Technology JSET Vol: 02 No: 02 en_US
dc.identifier.issn 24621374
dc.identifier.uri http://ir.unikl.edu.my/jspui/handle/123456789/11993
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 en_US
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. en_US
dc.publisher Universiti Kuala Lumpur Publishing en_US
dc.subject Fuzzy Logic en_US
dc.subject Fuzzy Logic en_US
dc.subject Gas Sensors en_US
dc.title Development of Fuzzy Logic Based Odor Detection en_US
dc.type Article en_US


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