dc.contributor.author | Marni Azira, Markom | |
dc.contributor.author | Ali Yeon, Md Shakaff | |
dc.contributor.author | Abdul Hamid, Adom | |
dc.contributor.author | Nazifah, Ahmad Fikri | |
dc.contributor.author | Shah Fenner Khan | |
dc.contributor.author | Abu Hassan, Abdullah | |
dc.contributor.author | Che Muhammad Nor, Che Isa | |
dc.date.accessioned | 2010-01-01T08:13:10Z | |
dc.date.available | 2010-01-01T08:13:10Z | |
dc.date.issued | 2007 | |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/7454 | |
dc.description.abstract | The development of electronic noses have been on the rise due to their apparent benefits as it has been proved to
solve many problems which is included food quality control, environmental monitoring and etc. However, the
commercial electronic nose always known as an expensive and complicated system in recent market. This paper
presents the work of the development of a low cost electronic nose which is developed to be cost efficient as it
was made using off-the-shelf components. The electronic nose consists of an array of sensory system which
integrated with RCM 4000 microcontroller and artificial neural network as the pattern recognition. The
completed electronic nose, then, was tested to discriminate a few essences and the test conducted showed that
electronic nose was able to perform a profile for the each essence and can be trained using artificial neural
network analysis. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis | en_US |
dc.subject | Electronic nose | en_US |
dc.subject | Low cost | en_US |
dc.subject | Sensory system | en_US |
dc.subject | Artificial neural network | en_US |
dc.subject | Microcontroller | en_US |
dc.title | Development of Low Cost Electronic Nose | en_US |
dc.type | Article | en_US |
dc.contributor.url | aliyeon@unimap.edu.my | en_US |