DocumentCode
1925593
Title
Notice of Retraction
Method of assessing operational skill of equipment support based on k-means clustering
Author
Liu Yile ; Bi Zhandong ; Gao Yongqiang
Author_Institution
Dept. of Technol. Support Eng., Acad. of Armored Force Eng., Beijing, China
fYear
2010
fDate
8-10 Aug. 2010
Firstpage
351
Lastpage
354
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Traditional method to assesse the equipment support operational skill is by locale examining and examinant experience, it is presented of evaluation method based on traininging process data and k means clustering, and a calculating case is validated. The case shows the arithmetic is used to support operational skill evaluation, whose indexes are quite comprehensive. Historical data of daily traininging, especially some operational detail of personnel action, can be enough used, the results of paper is very useful to improve equipment support traininging quality by the method.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Traditional method to assesse the equipment support operational skill is by locale examining and examinant experience, it is presented of evaluation method based on traininging process data and k means clustering, and a calculating case is validated. The case shows the arithmetic is used to support operational skill evaluation, whose indexes are quite comprehensive. Historical data of daily traininging, especially some operational detail of personnel action, can be enough used, the results of paper is very useful to improve equipment support traininging quality by the method.
Keywords
industrial training; personnel; production equipment; statistical analysis; K-means clustering; arithmetic; equipment support operational skill assessment; operational skill evaluation; personnel training; clustering; equipment support traininging; skill evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Emergency Management and Management Sciences (ICEMMS), 2010 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-6064-9
Type
conf
DOI
10.1109/ICEMMS.2010.5563428
Filename
5563428
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