dc.contributor.author | Abu Hassan, Abdullah | |
dc.contributor.author | Abdul Hamid, Adom | |
dc.contributor.author | Ali Yeon, Md Shakaff | |
dc.contributor.author | Mohd Noor, Ahmad | |
dc.contributor.author | A., Zakaria | |
dc.contributor.author | Marni Azira, Markom | |
dc.contributor.author | E.S., Tan | |
dc.contributor.author | N.A., Fikri | |
dc.contributor.author | Rakhmad Arief, Siregar | |
dc.contributor.author | Mahamad Akmal, Saad | |
dc.date.accessioned | 2009-11-18T04:01:10Z | |
dc.date.available | 2009-11-18T04:01:10Z | |
dc.date.issued | 2009-10-11 | |
dc.identifier.citation | p.4B6 1 - 4B6 5 | en_US |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/7330 | |
dc.description | Organized 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.abstract | An 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.sponsorship | Technical sponsored by IEEE Malaysia Section | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis | en_US |
dc.relation.ispartofseries | Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) | en_US |
dc.subject | Electronic nose | en_US |
dc.subject | e-nose | en_US |
dc.subject | Electronic nose -- Design and construction | en_US |
dc.subject | Artificial Neural Network (ANN) | en_US |
dc.subject | Detectors -- Design and construction | en_US |
dc.subject | Olfactometry | en_US |
dc.title | Development of intelligent portable electronic nose | en_US |
dc.type | Working Paper | en_US |