Pattern analysis using principle component analysis (PCA) method for herbs identification
Herb is one of the plant species that each has unique odors. Each herb species has unique odor which differs from each other. This odor parameter is used to differentiate the type of herbs species based on response signals from E-Nose system. The response of electrical signal is generated when the g...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Faculty of Computer Science and Information Technology, Universiti Putra Malaysia
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/65628/1/SAES2015%20-%20NFMR.pdf |
| _version_ | 1825932975897837568 |
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| author | Mohamad Radzi, Nur Fadzilah Che Soh, Azura Mohamad Yusof, Umi Kalsom Hassan, Mohd Khair Khamis, Shamsul |
| author_facet | Mohamad Radzi, Nur Fadzilah Che Soh, Azura Mohamad Yusof, Umi Kalsom Hassan, Mohd Khair Khamis, Shamsul |
| author_sort | Mohamad Radzi, Nur Fadzilah |
| collection | UPM |
| description | Herb is one of the plant species that each has unique odors. Each herb species has unique odor which differs from each other. This odor parameter is used to differentiate the type of herbs species based on response signals from E-Nose system. The response of electrical signal is generated when the gas sensor array detect the odor of herb species. This paper presents a pattern analysis of electrical signal data by using Principle Component Analysis (PCA) method. The different herb species with same group family were investigated. The result shows the discrimination between herb species is possible using the proposed method. |
| first_indexed | 2024-03-06T09:50:12Z |
| format | Conference or Workshop Item |
| id | upm.eprints-65628 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:50:12Z |
| publishDate | 2015 |
| publisher | Faculty of Computer Science and Information Technology, Universiti Putra Malaysia |
| record_format | dspace |
| spelling | upm.eprints-656282020-01-31T03:58:41Z http://psasir.upm.edu.my/id/eprint/65628/ Pattern analysis using principle component analysis (PCA) method for herbs identification Mohamad Radzi, Nur Fadzilah Che Soh, Azura Mohamad Yusof, Umi Kalsom Hassan, Mohd Khair Khamis, Shamsul Herb is one of the plant species that each has unique odors. Each herb species has unique odor which differs from each other. This odor parameter is used to differentiate the type of herbs species based on response signals from E-Nose system. The response of electrical signal is generated when the gas sensor array detect the odor of herb species. This paper presents a pattern analysis of electrical signal data by using Principle Component Analysis (PCA) method. The different herb species with same group family were investigated. The result shows the discrimination between herb species is possible using the proposed method. 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/65628/1/SAES2015%20-%20NFMR.pdf Mohamad Radzi, Nur Fadzilah and Che Soh, Azura and Mohamad Yusof, Umi Kalsom and Hassan, Mohd Khair and Khamis, Shamsul (2015) Pattern analysis using principle component analysis (PCA) method for herbs identification. In: 3rd International Symposium on Applied Engineering and Sciences (SAES2015), 23-24 Nov. 2015, Universiti Putra Malaysia. . |
| spellingShingle | Mohamad Radzi, Nur Fadzilah Che Soh, Azura Mohamad Yusof, Umi Kalsom Hassan, Mohd Khair Khamis, Shamsul Pattern analysis using principle component analysis (PCA) method for herbs identification |
| title | Pattern analysis using principle component analysis (PCA) method for herbs identification |
| title_full | Pattern analysis using principle component analysis (PCA) method for herbs identification |
| title_fullStr | Pattern analysis using principle component analysis (PCA) method for herbs identification |
| title_full_unstemmed | Pattern analysis using principle component analysis (PCA) method for herbs identification |
| title_short | Pattern analysis using principle component analysis (PCA) method for herbs identification |
| title_sort | pattern analysis using principle component analysis pca method for herbs identification |
| url | http://psasir.upm.edu.my/id/eprint/65628/1/SAES2015%20-%20NFMR.pdf |
| work_keys_str_mv | AT mohamadradzinurfadzilah patternanalysisusingprinciplecomponentanalysispcamethodforherbsidentification AT chesohazura patternanalysisusingprinciplecomponentanalysispcamethodforherbsidentification AT mohamadyusofumikalsom patternanalysisusingprinciplecomponentanalysispcamethodforherbsidentification AT hassanmohdkhair patternanalysisusingprinciplecomponentanalysispcamethodforherbsidentification AT khamisshamsul patternanalysisusingprinciplecomponentanalysispcamethodforherbsidentification |