• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.115-120
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• 2022

The Rsussian Armed Forces(RAF) invaded Ukraine on Feburary 24. However, the Armed Forces of Ukraine(AFU) unexpectedly blocked the Russian wave attack made the war between Ukraine and Russia lengthened. Major think-tanks and military experts in the world assessed that the AFU overwhelmed the RAF at the initial stage of the war because of decentralized combats based on mission command. Especially, the decentralized small units of the AFU damaged the RAF and slowed down its Iniative. The 4^th industrial revolution makes the Korean Peninsula the multi-domain battlefield in the future; accordingly, the Decentralized combat won't be a choice, but a necessity in the future. Therefore, the AFU's offensive decentralized combats in this war Suggests many things to the Republic of Korea Army.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1511-1520
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• 2017

The purpose of this study is to analyze military combat training data to improve military operation and training methods and verify required military doctrine. We set the number of combat disabled enemies, which the individual combatants make using their weapons, as the response variable regarding offensive operations from scientific military training data of reinforced infantry battalion. Our response variable has more zero observations than would be allowed for by the traditional GLM such as Poisson regression. We used the zero-inflated regression and the hurdle regression for data analysis considering the over-dispersion and excessive zero observation problems. Our result can be utilized as an appropriate reference in order to verify a military doctrine for small units and analysis of various operational and tactical factors.

• Journal of the Korea Society for Simulation
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• v.18 no.4
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• pp.21-28
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• 2009

In the past, most of battle occurred in flatland and simple military force size gave a big influence in combat result. However, after the World War I, most of battles took place at the various terrain features such as forest, downtown, jungle and many others. Therefore, terrain factor exerts big influence on battle with weapon system in the ground warfare. However, effect of terrain has been explained only by quantitative manner in the battle. Furthermore, combat simulation and modeling applied a method that lower the combat capability of battle factors. In this paper, we present instrumentation that evaluate impact of terrain using fractal dimension. We determine the fractal dimension value by the "box counting dDimension" and density to calculate impact of terrain. Furthermore, we analyzed correlation with fractal dimension and density for battle result that obtained from the EINSTein model which is an agent-based simulation. We compare with 'Stalingrad battle' result out of battle example and analyzed. This study presented a method combat effectiveness that effect of terrain calculate quantitatively using fractal dimension.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1106-1109
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• 2013

미래 육군의 대대급이하 NCW 핵심은 기반통신장비인 TMMR(Tactical Multi Function Terminal)과 전투지휘를 위한 전장단말기인 대대급이하 전투지휘체계(B2CS)로 대표할 수 있다. 이중 TMMR은 음성과 데이터 통신이 가능토록 개발중인 무전기이다. 하지만, 군 무전기 특성상 은 엄폐 지역에서의 통신 보장을 위해 낮은 주파수 대역을 사용함에 따라 최대 지원 가능한 전송속도는 매우 한정적이다. 따라서 TMMR을 기반 통신장비로 활용하는 B2CS는 이 낮은 대역폭을 어떻게 효율적으로 사용할 것인가가 핵심이다. 따라서 본고에서는 이를 위해 군 운용환경에서의 TMMR 기반하 B2CS 운용 시 필요한 TMMR의 요구대역폭을 분석, 데이터 경량화 설계가 필요함을 확인하고, 이에 따른 B2CS에서 적용하고 있는 데이터 경량화 설계 방안을 제시하고자 한다.

• Defense and Technology
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• no.9 s.271
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• pp.50-61
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• 2001

미래 디지털 전장 환경에서 병사는 하나의 전투체계로 인식되어야 하며 동시에 열상장비, 컴퓨터 및 통신장비 등을 통한 실시간 전투정보 센서로서의 임무 수행이 요구될 것이다. 이러한 요구에 부응하는 새로운 개념의 병사체계는 전투의 주체인 병사의 화기, 피복 및 휴대품 등을 포함한 포괄적인 체계를 말하며 병사의 타격능력, 지휘통제, 생존성, 임무지속성 및 기동성 향상을 위해 각 장비를 시스템화한 것으로 선진 각국 특히 미국과 나토를 중심으로 체계적인 개발이 이루어지고 있으며, 각 국가별로 자국의 요구에 부합하는 병사체계 개발에 노력을 경주하고 있다

• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.157-166
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• 2024

The Army TIGER System, which is being deployed to implement a future combat system, is expected to bring innovative changes to the army's combat methods and comabt execution capability such as mobility, networking and intelligence. To this end, the Army will introduce various systems using drones, robots, unmanned vehicles, AI(Artificial Intelligence), etc. and utilize them in combat. The use of various unmanned vehicles and AI is expected to result in the introduction of equipment with new technologies into the army and an increase in various types of transmitted information, i.e. data. However, currently in the military, there is an acceleration in research and combat experimentations on warfigthing options using Army TIGER forces system for specific functions. On the other hand, the current reality is that research on cyber threats measures targeting information systems related to the increasing number of unmanned systems, data production, and transmission from unmanned systems, as well as the establishment of cloud centers and AI command and control center driven by the new force systems, is not being pursued. Accordingly this paper analyzes the structure and characteristics of the Army TIGER force integration system and makes suggestions for necessity of building, available cyber defense solutions and Army TIGER integrated cyber protections system that can respond to cyber threats in the future.

• Defense and Technology
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• no.3 s.289
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• pp.58-65
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• 2003

접이식 방호부양장치체계 설계안은 전투장갑차의 부양장치로서 요구되는 부력, 방호성, 독자적 수상운행성을 위한 탑재운용성, 수상운행 준비시간을 최소화하는 구동장치의 최적화 및 수상안정성 극대화 등을 충족시키면서도 중량 증가 요인은 최소화하는 것이 가능할 것으로 검토된 바, 기존 방법으로는 기대할 수 없는 높은 수준의 수상운행성능 구현이 가능할 것으로 기대된다.

• KIISE Transactions on Computing Practices
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• v.23 no.6
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• pp.343-349
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• 2017

Combat modeling and simulation (M&S) of large-scale computer generated forces (CGFs) enables the development of even the most sophisticated strategy of combat warfare and the efficient facilitation of a comprehensive simulation of the upcoming battle. The DEVS-POMDP framework is proposed where the DEVS framework describing the explicit behavior rules in military doctrines, and POMDP model describing the autonomous behavior of the CGFs are hierarchically combined to capture the complexity of realistic world combat modeling and simulation. However, it has previously been well documented that computing the optimal policy of a POMDP model is computationally demanding. In this paper, we show that not only can the performance of CGFs be improved by an efficient POMDP tree search algorithm but CGFs are also able to conveniently learn the behavior model of the enemy through case studies in the scenario of counterfire warfare and the scenario of a mechanized infantry brigade's offensive operations.

• Journal of the Korea Society of Computer and Information
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• v.28 no.7
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• pp.47-55
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• 2023

This paper presents a method for predicting the threat index of combat systems using Gradient Boosting Regressors and Support Vector Regressors among machine learning models. Currently, combat systems are software that emphasizes safety and reliability, so the application of AI technology that is not guaranteed to be reliable is restricted by policy, and as a result, the electrified domestic combat systems are not equipped with AI technology. However, in order to respond to the policy direction of the Ministry of National Defense, which aims to electrify AI, we conducted a study to secure the basic technology required for the application of machine learning in combat systems. After collecting the data required for threat index evaluation, the study determined the prediction accuracy of the trained model by processing and refining the data, selecting the machine learning model, and selecting the optimal hyper-parameters. As a result, the model score for the test data was over 99 points, confirming the applicability of machine learning models to combat systems.

• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.137-146
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• 2024

drones are used in a variety of fields, including business, leisure, lifesaving, and war. Various research using drones is being conducted in the military. In particular, the use of drones in 『Manned-Unmanned Complex combat performance plan』, powered by various unmanned vehicles deployed in the Army TIGER system, is expected to be a major factor realizing the Army's future combat performance that minimizes damage to ally combat troops while causing maximum damage to the enemy. As the deployment of various systems progresses, combat performance methods utilizing each system are evolving, but there is a lack of research to identify and resolve limitations in the perspective of unmanned vehicle operators. Based on the Ukrainian military's FPV drone combat case, we would like to make suggestions from the operator's perspective on overcoming perspective limitations through the introduction of FPV and the designation of military drone frequency.