Quality identification of used cooking oil based on feature fusion of gas sensor and color
In Malaysia, a recognition system to identify the hazardous substance in used cooking oil is still at very minimal stage. The presents of HNE in reused cooking oil increases the health concern in our modern community and assessment of the oil quality had received much attention, since such assessmen...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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International Science Press
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/53710/ http://psasir.upm.edu.my/id/eprint/53710/1/Quality%20identification%20of%20used%20cooking%20oil%20based%20on%20feature%20fusion%20of%20gas%20sensor%20and%20color.pdf |
| _version_ | 1848852355801415680 |
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| author | Ishak, Asnor Juraiza Abdul Rahman, Ribhan Zafira Che Soh, Azura Shamsuddin, Rosnah Jalo, Salihu A. Lim, F. C. Lin, H. K. |
| author_facet | Ishak, Asnor Juraiza Abdul Rahman, Ribhan Zafira Che Soh, Azura Shamsuddin, Rosnah Jalo, Salihu A. Lim, F. C. Lin, H. K. |
| author_sort | Ishak, Asnor Juraiza |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In Malaysia, a recognition system to identify the hazardous substance in used cooking oil is still at very minimal stage. The presents of HNE in reused cooking oil increases the health concern in our modern community and assessment of the oil quality had received much attention, since such assessment is useful in determining the discarding point of the oils. This paper primarily present the result of quality identification system of used cooking oil through an image analysis that uses RGB color extraction technique and odor extraction techniques to extract a set of feature vectors. The result obtained after implementing an ANN technique to identify quality level of the oil shows the outcome of the trained ANN was successful because of a high regression coefficient of 0.98. Furthermore, the system had successfully classified the randomly selected ten (10) samples for testing correctly. |
| first_indexed | 2025-11-15T10:36:46Z |
| format | Article |
| id | upm-53710 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:36:46Z |
| publishDate | 2016 |
| publisher | International Science Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-537102018-01-10T04:57:23Z http://psasir.upm.edu.my/id/eprint/53710/ Quality identification of used cooking oil based on feature fusion of gas sensor and color Ishak, Asnor Juraiza Abdul Rahman, Ribhan Zafira Che Soh, Azura Shamsuddin, Rosnah Jalo, Salihu A. Lim, F. C. Lin, H. K. In Malaysia, a recognition system to identify the hazardous substance in used cooking oil is still at very minimal stage. The presents of HNE in reused cooking oil increases the health concern in our modern community and assessment of the oil quality had received much attention, since such assessment is useful in determining the discarding point of the oils. This paper primarily present the result of quality identification system of used cooking oil through an image analysis that uses RGB color extraction technique and odor extraction techniques to extract a set of feature vectors. The result obtained after implementing an ANN technique to identify quality level of the oil shows the outcome of the trained ANN was successful because of a high regression coefficient of 0.98. Furthermore, the system had successfully classified the randomly selected ten (10) samples for testing correctly. International Science Press 2016 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/53710/1/Quality%20identification%20of%20used%20cooking%20oil%20based%20on%20feature%20fusion%20of%20gas%20sensor%20and%20color.pdf Ishak, Asnor Juraiza and Abdul Rahman, Ribhan Zafira and Che Soh, Azura and Shamsuddin, Rosnah and Jalo, Salihu A. and Lim, F. C. and Lin, H. K. (2016) Quality identification of used cooking oil based on feature fusion of gas sensor and color. International Journal of Control Theory and Applications, 9 (5). pp. 321-329. ISSN 0974-5572 http://serialsjournals.com/articles.php?volumesno_id=968&journals_id=268&volumes_id=848 |
| spellingShingle | Ishak, Asnor Juraiza Abdul Rahman, Ribhan Zafira Che Soh, Azura Shamsuddin, Rosnah Jalo, Salihu A. Lim, F. C. Lin, H. K. Quality identification of used cooking oil based on feature fusion of gas sensor and color |
| title | Quality identification of used cooking oil based on feature fusion of gas sensor and color |
| title_full | Quality identification of used cooking oil based on feature fusion of gas sensor and color |
| title_fullStr | Quality identification of used cooking oil based on feature fusion of gas sensor and color |
| title_full_unstemmed | Quality identification of used cooking oil based on feature fusion of gas sensor and color |
| title_short | Quality identification of used cooking oil based on feature fusion of gas sensor and color |
| title_sort | quality identification of used cooking oil based on feature fusion of gas sensor and color |
| url | http://psasir.upm.edu.my/id/eprint/53710/ http://psasir.upm.edu.my/id/eprint/53710/ http://psasir.upm.edu.my/id/eprint/53710/1/Quality%20identification%20of%20used%20cooking%20oil%20based%20on%20feature%20fusion%20of%20gas%20sensor%20and%20color.pdf |