Implementation of moving average technique in data mining for signal pre-processing in electronic nose system
The intervention of electronic nose was capable to reproduced human senses using sensor arrays and pattern recognition systems. The ability to classify distinctive odor pattern for aromatic plants species especially for herbs provides significant impact in the field such as in food industry, medicin...
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Faculty of Computer Science and Information Technology, Universiti Putra Malaysia
2015
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Online Access: | http://psasir.upm.edu.my/id/eprint/77124/1/saes2015-1.pdf http://psasir.upm.edu.my/id/eprint/77124/ |
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my.upm.eprints.771242020-03-03T10:43:32Z http://psasir.upm.edu.my/id/eprint/77124/ Implementation of moving average technique in data mining for signal pre-processing in electronic nose system Mohamad Yusof, Umi Kalsom Che Soh, Azura Ishak, Asnor Juraiza Hassan, Mohd Khair Khamis, Shamsul The intervention of electronic nose was capable to reproduced human senses using sensor arrays and pattern recognition systems. The ability to classify distinctive odor pattern for aromatic plants species especially for herbs provides significant impact in the field such as in food industry, medicine, culinary, health care product and pharmaceutical. Pre-processing stage has important role in data mining and to compensate for any sensor drift which typically occurs during data gathering in signal processing. Therefore, the moving average technique was applied for smoothing signal and data reduction in pre-processing stage for development of electronic nose system in this study. Faculty of Computer Science and Information Technology, Universiti Putra Malaysia 2015 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/77124/1/saes2015-1.pdf Mohamad Yusof, Umi Kalsom and Che Soh, Azura and Ishak, Asnor Juraiza and Hassan, Mohd Khair and Khamis, Shamsul (2015) Implementation of moving average technique in data mining for signal pre-processing in electronic nose system. In: 3rd International Symposium on Applied Engineering and Sciences (SAES2015), 23-24 Nov. 2015, Universiti Putra Malaysia. (pp. 1-2). |
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The intervention of electronic nose was capable to reproduced human senses using sensor arrays and pattern recognition systems. The ability to classify distinctive odor pattern for aromatic plants species especially for herbs provides significant impact in the field such as in food industry, medicine, culinary, health care product and pharmaceutical. Pre-processing stage has important role in data mining and to compensate for any sensor drift which typically occurs during data gathering in signal processing. Therefore, the moving average technique was applied for smoothing signal and data reduction in pre-processing stage for development of electronic nose system in this study. |
format |
Conference or Workshop Item |
author |
Mohamad Yusof, Umi Kalsom Che Soh, Azura Ishak, Asnor Juraiza Hassan, Mohd Khair Khamis, Shamsul |
spellingShingle |
Mohamad Yusof, Umi Kalsom Che Soh, Azura Ishak, Asnor Juraiza Hassan, Mohd Khair Khamis, Shamsul Implementation of moving average technique in data mining for signal pre-processing in electronic nose system |
author_facet |
Mohamad Yusof, Umi Kalsom Che Soh, Azura Ishak, Asnor Juraiza Hassan, Mohd Khair Khamis, Shamsul |
author_sort |
Mohamad Yusof, Umi Kalsom |
title |
Implementation of moving average technique in data mining for signal pre-processing in electronic nose system |
title_short |
Implementation of moving average technique in data mining for signal pre-processing in electronic nose system |
title_full |
Implementation of moving average technique in data mining for signal pre-processing in electronic nose system |
title_fullStr |
Implementation of moving average technique in data mining for signal pre-processing in electronic nose system |
title_full_unstemmed |
Implementation of moving average technique in data mining for signal pre-processing in electronic nose system |
title_sort |
implementation of moving average technique in data mining for signal pre-processing in electronic nose system |
publisher |
Faculty of Computer Science and Information Technology, Universiti Putra Malaysia |
publishDate |
2015 |
url |
http://psasir.upm.edu.my/id/eprint/77124/1/saes2015-1.pdf http://psasir.upm.edu.my/id/eprint/77124/ |
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1662756618463346688 |
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