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DEA를 이용한 전비 최우수 함정 선발 및 향상 목표 제시
남용근 ( Yong Keun Nam ),김기태 ( Ki Tae Kim ),조성진 ( Sung Jin Cho ),홍윤기 ( Yoon Gee Hong ) 한국경영공학회 2012 한국경영공학회지 Vol.17 No.1
The main purpose of this study is to select the best naval vessel and to present the improvement target for war preparations. This study applies a data envelopment analysis(DEA) using selected variables from the data describing the property of naval vessels. The best naval vessel is selected by evaluating operational efficiency, and the improvement target is presented by evaluating operational inefficiency. This study also use a profiling model for increasing distinction level of efficient naval vessels. The best naval vessel can be decided based on the efficiency and the frequency of appearance of reference groups.
동적인 위협이 존재하는 전장에서의 무인 항공기 지역경로계획
김기태(Ki Tae Kim),남용근(Yong Keun Nam),조성진(Sung Jin Cho) 한국산업경영시스템학회 2012 한국산업경영시스템학회지 Vol.35 No.1
An unmanned aerial vehicle (UAV) is a powered aerial vehicle that does not carry a human operator, uses aerodynamic forces to provide vehicle lift, can fly autonomously or be piloted remotely, can be expendable or recoverable, and can carry a lethal or non-lethal payload. An UAV is very important weapon system and is currently being employed in many military missions (surveillance, reconnaissance, communication relay, targeting, strike, etc.) in the war. To accomplish UAV’s missions, guarantee of survivability should be preceded. The main objective of this study is a local path planning to maximize survivability for UAV on the battlefield of dynamic threats (obstacles, surface-to-air missiles, radar etc.). A local path planning is capable of producing a new path in response to environmental changes. This study suggests a Smart A<sup>*</sup> (Smart A-star) algorithm for local path planning. The local path planned by Smart A<sup>*</sup> algorithm is compared with the results of existing algorithms (A<sup>*</sup> Replanner, D<sup>*</sup>) and evaluated performance of Smart A<sup>*</sup> algorithm. The result of suggested algorithm gives the better solutions when compared with existing algorithms.