Citation
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).
Abstract
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.
Download File
|
![[img]](http://psasir.upm.edu.my/style/images/fileicons/text.png)
Additional Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty of Engineering Institute of Bioscience |
| Publisher: | Faculty of Computer Science and Information Technology, Universiti Putra Malaysia |
| Keywords: | Electronic nose; Moving average technique; Pre-processing stage |
| Depositing User: | Nabilah Mustapa |
| Date Deposited: | 03 Mar 2020 10:43 |
| Last Modified: | 03 Mar 2020 10:43 |
| URI: | http://psasir.upm.edu.my/id/eprint/77124 |
| Statistic Details: | View Download Statistic |
Actions (login required)
 |
View Item |