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Study on the matching method of damage assessment caused by indirect fire between ChangJo21 and Combat21 models with different resolution
Journal of the Korean Data & Information Science Society 2019;30:1105-19
Published online September 30, 2019;
© 2019 Korean Data and Information Science Society.

Seokwon Han1 · Hoseok Moon2 · Yunho Choi3 · Changwon Yu4

12Department of Defense Science, National Defense University
34Ares Co., Ltd
Correspondence to: Professor, Department of Defense Science, National Defense University, Nonsan 33021, Korea. E-mail:

This research is supported by Defense Acquisition Program Administration and Defense Industry Technology Center (UC160003D).
Received July 31, 2019; Revised September 3, 2019; Accepted September 7, 2019.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
This study suggests a method to improve the reliability of training with war game models by matching the results of the artillery damage assessment of the training units generated in the same situation when linking ChangJo21 and Combat21 models which are training war game models with different resolution. If the results of the artillery damage assessment of the ChangJo21 model and the Combat21 model that occurred in the same situation are not similar at a reasonable level, it is likely that the training unit will distrust the training with the war game models. In this study, the artillery damage assessment logic and formulas of the two models were compared and analyzed to compensate for differences in artillery damage assessment results of the two models, thereby establishing an experimental environment that could occur under the same conditions and generating experimental data. Multiple regression models as calibration models were used to match the artillery damage results of the two models. Each calibration model is statistically significant and highly explanatory.
Keywords : Battle command training program, ChangJo21 model, Combat21 model, indirect combat damage assessment, multi-resolution modeling.