| ชื่อเรื่อง | : | Unsupervised clustering for electrofused magnesium oxide sorting |
| นักวิจัย | : | Pun, W. K. , Ali, Shawkat. |
| คำค้น | : | Artificial intelligence. , Applied research. , 890202 Application Tools and System Utilities. , 890205 Information Processing Services (incl. Data Entry and Capture). , 890299 Computer Software and Services not elsewhere classified. , 080109 Pattern Recognition and Data Mining. , 080106 Image Processing. , 080199 Artificial Intelligence and Image Processing not elsewhere classified. , Image processing , Magnesium oxide. , Unsupervised clustering -- k-means -- Electrofused magnesium oxide |
| หน่วยงาน | : | Central Queensland University, Australia |
| ผู้ร่วมงาน | : | - |
| ปีพิมพ์ | : | 2552 |
| อ้างอิง | : | http://hdl.cqu.edu.au/10018/44264 , http://dx.doi.org/10.1109/IEEM.2009.5373234 |
| ที่มา | : | Pun, W & Ali, S 2009, 'Unsupervised clustering for electrofused Magnesium Oxide sorting' in IEEM 2009 Committee (eds.) IEEE International Conference on Industrial Engineering and Engineering Management, 8th - 11th December, pp. 698-702.http://dx.doi.org/10.1109/IEEM.2009.5373234 (viewed 05/05/10) |
| ความเชี่ยวชาญ | : | - |
| ความสัมพันธ์ | : | IEEE International Conference on Industrial Engineering and Engineering Management, Hong Kong, 8-11 December 2009. USA. : IEEE, 2009. p. 698-702 5 pages Refereed 9781424448708 (online) , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository. |
| ขอบเขตของเนื้อหา | : | - |
| บทคัดย่อ/คำอธิบาย | : | This research is concentrated on using un-supervised learning technique and digital image processing to cluster mineral materials, Electrofused Magnesia Oxide specifically,for industry automation. We proposed a technique to construct an image database by generating datafrom images using a digital image process. This is based on a simple histogram mode and intensity deviation. A group of two popular clustering algorithms has been tested to develop an automatic system for industry. We have concluded that the best suited algorithm for this application in the mineral industry from this group of two algorithms is the k-means algorithm. |
| บรรณานุกรม | : |
Pun, W. K. , Ali, Shawkat. . (2552). Unsupervised clustering for electrofused magnesium oxide sorting.
กรุงเทพมหานคร : Central Queensland University, Australia. Pun, W. K. , Ali, Shawkat. . 2552. "Unsupervised clustering for electrofused magnesium oxide sorting".
กรุงเทพมหานคร : Central Queensland University, Australia. Pun, W. K. , Ali, Shawkat. . "Unsupervised clustering for electrofused magnesium oxide sorting."
กรุงเทพมหานคร : Central Queensland University, Australia, 2552. Print. Pun, W. K. , Ali, Shawkat. . Unsupervised clustering for electrofused magnesium oxide sorting. กรุงเทพมหานคร : Central Queensland University, Australia; 2552.
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