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dc.contributor.authorAbu Hassan, Abdullah
dc.contributor.authorAbdul Hamid, Adom
dc.contributor.authorAli Yeon, Md Shakaff
dc.contributor.authorMohd Noor, Ahmad
dc.contributor.authorA., Zakaria
dc.contributor.authorMarni Azira, Markom
dc.contributor.authorE.S., Tan
dc.contributor.authorN.A., Fikri
dc.contributor.authorRakhmad Arief, Siregar
dc.contributor.authorMahamad Akmal, Saad
dc.date.accessioned2009-11-18T04:01:10Z
dc.date.available2009-11-18T04:01:10Z
dc.date.issued2009-10-11
dc.identifier.citationp.4B6 1 - 4B6 5en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/7330
dc.descriptionOrganized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.en_US
dc.description.abstractAn electronic nose is a device that is able to perform electronic olfactory as a substitute to human experts. It is able to overcome the disadvantages of using human, such as fatigue and inconsistencies, as well as to detect harmful volatile organic compounds. These advantages open up a myriad of possible applications which include food quality control, fruit ripeness and plant disease detection. The fact that the current commercial e-noses are costly and complicated, and rise in demand of such systems, has attracted many research groups around the world. This paper presents the development of a costeffective intelligent portable electronic nose. The development of the electronic nose used off-the-self an array of metal oxide sensors integrated with dsPIC33 microcontroller. The odourcapturing module was developed using inert and odourless Teflon to reduce the memory effect. The device offer rapid response, versatility and novelty in the detection of odour using Artificial Neural Network (ANN) algorithm for pattern recognition. Initial results show that the electronic nose is able to discriminate samples based on their odour profile alone.en_US
dc.description.sponsorshipTechnical sponsored by IEEE Malaysia Sectionen_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlisen_US
dc.relation.ispartofseriesProceedings of the International Conference on Man-Machine Systems (ICoMMS 2009)en_US
dc.subjectElectronic noseen_US
dc.subjecte-noseen_US
dc.subjectElectronic nose -- Design and constructionen_US
dc.subjectArtificial Neural Network (ANN)en_US
dc.subjectDetectors -- Design and constructionen_US
dc.subjectOlfactometryen_US
dc.titleDevelopment of intelligent portable electronic noseen_US
dc.typeWorking Paperen_US


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