• Journal of the Korea Institute of Military Science and Technology
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• v.23 no.3
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• pp.277-285
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• 2020

Survivability in a battle field is the most important aspect to the warriors. To analyze the survival effectiveness of warrior platform, the simulation via war-game model is an essential step in advance to the development of platform. In this study, Army Weapon effectiveness Analysis Model(AWAM) was utilized for analysis. Several weapon parameters were adjusted to apply the characteristics of warrior platform in some cases of the defense and survival system. Especially, adjusted triage possibility, probability of kill, fatality and accuracy were employed as parameters in the simulation program to evaluate the survival effectiveness of intelligent system based on the previous researches. In the future battle field or virtual space in the AWAM, the warrior platform intelligent system could react emergency treatment on time by expoiting the bio-information of man at arms. Considering the order of supply priority, special force was selected as operating troops and battle scenario without engagement was selected to measure accurate survival effectiveness. In conclusion, the survivability of defence and survival system of the warrior platform was about 1.47 times higher than that of current system.

• Journal of the Korea Institute of Military Science and Technology
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• v.24 no.2
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• pp.245-254
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• 2021

The intelligent control algorithm based on the real-time biological monitoring system has been emphasized to enhance the survivability of the combat warrior in the future combat fields. In this study, AHP(Analytic Hierarchy Process) method was deployed to categorize the factors related to the improvement of survivability, then to determine the relative importances between them. As the details of the research process, the historical survivability determinants were firstly categorized, which was nextly judged their relative importance by the experts in the actual fileds through the survey of AHP. In this process, the consistency of the survey was investigated to filter out the error. As a result, the global priority of factors can be acquired to establish the optimized operational concepts in the intelligent warrior platform.