Agarwood classification based on odor profile using intelligent signal processing technique / Muhammad Sharfi Najib
This thesis presents the classification of Agarwood from Malaysia and Indonesia regions based on signal processing technique. Signal processing for the Agarwood classification is a new area and has yet been actively implemented. In this thesis, the Agarwood has been pre-identified by experts using 3...
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| Format: | Book Section |
| Language: | English |
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Institute of Graduate Studies, UiTM
2014
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| Online Access: | http://ir.uitm.edu.my/id/eprint/19494/ http://ir.uitm.edu.my/id/eprint/19494/1/ABS_MUHAMMAD%20SHARFI%20NAJIB%20TDRA%20VOL%206%20IGS_14.pdf |
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uitm-19494 |
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eprints |
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uitm-194942018-06-12T01:27:02Z http://ir.uitm.edu.my/id/eprint/19494/ Agarwood classification based on odor profile using intelligent signal processing technique / Muhammad Sharfi Najib Najib, Muhammad Sharfi Malaysia This thesis presents the classification of Agarwood from Malaysia and Indonesia regions based on signal processing technique. Signal processing for the Agarwood classification is a new area and has yet been actively implemented. In this thesis, the Agarwood has been pre-identified by experts using 32 sensor arrays to measure the Agarwood odor profile. General Agarwood pattern has been plot in 2D diagram. The odor profile from different samples have been normalized and pre-processed and visualized in 3D and 2D plot to find unique patterns. The variation of patterns that has been visualized has been marked as different group samples. Institute of Graduate Studies, UiTM 2014 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19494/1/ABS_MUHAMMAD%20SHARFI%20NAJIB%20TDRA%20VOL%206%20IGS_14.pdf Najib, Muhammad Sharfi (2014) Agarwood classification based on odor profile using intelligent signal processing technique / Muhammad Sharfi Najib. In: The Doctoral Research Abstracts. IPSis Biannual Publication, 6 (6). Institute of Graduate Studies, UiTM, Shah Alam. |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Teknologi MARA |
| building |
UiTM Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
Malaysia |
| spellingShingle |
Malaysia Najib, Muhammad Sharfi Agarwood classification based on odor profile using intelligent signal processing technique / Muhammad Sharfi Najib |
| description |
This thesis presents the classification of Agarwood from Malaysia and Indonesia regions based on signal processing technique. Signal processing for the Agarwood classification is a new area and has yet been actively implemented. In this thesis, the Agarwood has been pre-identified by experts using 32 sensor arrays to measure the Agarwood odor profile. General Agarwood pattern has been plot in 2D diagram. The odor profile from different samples have been normalized and pre-processed and visualized in 3D and 2D plot to find unique patterns. The variation of patterns that has been visualized has been marked as different group samples. |
| format |
Book Section |
| author |
Najib, Muhammad Sharfi |
| author_facet |
Najib, Muhammad Sharfi |
| author_sort |
Najib, Muhammad Sharfi |
| title |
Agarwood classification based on odor profile using intelligent signal processing technique / Muhammad Sharfi Najib |
| title_short |
Agarwood classification based on odor profile using intelligent signal processing technique / Muhammad Sharfi Najib |
| title_full |
Agarwood classification based on odor profile using intelligent signal processing technique / Muhammad Sharfi Najib |
| title_fullStr |
Agarwood classification based on odor profile using intelligent signal processing technique / Muhammad Sharfi Najib |
| title_full_unstemmed |
Agarwood classification based on odor profile using intelligent signal processing technique / Muhammad Sharfi Najib |
| title_sort |
agarwood classification based on odor profile using intelligent signal processing technique / muhammad sharfi najib |
| publisher |
Institute of Graduate Studies, UiTM |
| publishDate |
2014 |
| url |
http://ir.uitm.edu.my/id/eprint/19494/ http://ir.uitm.edu.my/id/eprint/19494/1/ABS_MUHAMMAD%20SHARFI%20NAJIB%20TDRA%20VOL%206%20IGS_14.pdf |
| first_indexed |
2023-09-18T23:02:42Z |
| last_indexed |
2023-09-18T23:02:42Z |
| _version_ |
1777418278863372288 |