• Title/Summary/Keyword: 보병대대

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Survival Analysis of Battalion-Level Commanders(leaders) Using Big Data as Results of Brigade-Level KCTC Training - Focused on Infantry Battalion Defensive Operations - (여단급 KCTC 훈련 결과 빅데이터를 활용한 대대급 이하 지휘관(자)의 생존분석 - 보병대대 방어작전을 중심으로 -)

  • Jinseong Yun;Hoseok Moon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.27 no.1
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    • pp.94-106
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    • 2024
  • In this study, we conducted a survival analysis on battalion-level commanders(leaders), focusing on infantry battalion defensive operations using the big data of brigade-level KCTC(Korea Combat Training Center) training results. Unlike previous studies, we utilized the brigade-level KCTC training results data for the first time to conduct a survival analysis, and the research subjects were battalion-level commanders(leaders), which can affect the battle. At this time, the battle results were defined, and through cluster analysis, infantry battalions were divided into excellent, average, and insufficient units, and the difference in the survival rate of the commanders was analyzed through the Kaplan-Meier survival analysis. This provided an opportunity to objectively compare the differences between excellent and insufficient units. Subsequently, factors affecting the survival of commanders were derived using the Cox proportional hazard model, and it was possible to confirm the influencing factors from various angles by also using the survival tree model. Significance and limitations confirmed in the research process were presented as policy suggestions and future research directions.

Analysis of scientific military training data using zero-inflated and Hurdle regression (영과잉 및 허들 회귀모형을 이용한 과학화 전투훈련 자료 분석)

  • Kim, Jaeoh;Bang, Sungwan;Kwon, Ojeong
    • 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.

The Development of Electromagnetic pulse Protection Capability in the Main System of a Tank Battalion (전차대대 주요체계의 EMP 방호능력 발전방안에 관한 연구)

  • Choi, Hokab;Han, Jaeduk;Son, Sangwoo;Kim, Sungkon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.40 no.6
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    • pp.623-631
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    • 2020
  • An electromagnetic pulse (EMP) attack on a nuclear weapon or the airlift of an electronic bomb affects weapons systems, information devices, wired and wireless communication equipment, and power supply equipment. It can lead to confusion on the battlefield. The current standards for EMP protection when applied to the military are centered on fixed and mobile facilities and equipment. It is, however, important to study EMP protection for a single tactical unit centered on the weapon system. In this study, EMP protection standards were established for command and control, maneuvering and firepower systems vulnerable to EMPs, focusing on battle tanks with mobility, firepower, and shock force. Also, specific development plans for EMP protection capabilities are proposed, including the shielding and blocking of EMPs. Through the study, the Korean government intends to ensure a unit's command and control under an EMP attack as well as preserve the viability of a unit's personnel and guarantee the conditions for the execution of a mission.

A Study on the Next-Generation Coastal Guard System (차세대 해안경계시스템에 관한 연구)

  • Lee, Jang-Il;Shin, Eui-Soo;Cha, Ji-Eun
    • Maritime Security
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    • v.4 no.1
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    • pp.115-138
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    • 2022
  • The Korean military is preparing for successful manpower reduction using advanced science and technology, in addition to carrying out the initiative of the Defense Innovation 4.0. Accordingly, studies on core technologies related to defense reform have been conducted both internally and externally in the military, and the corresponding results have also been applied. Nevertheless, compared to the development of such technologies, it is considered necessary to have more preparation for the policies related to the operation of the newly introduced equipment. As for the placement of personnel and the organization of time in service (TIS) with respect to the operation of surveillance equipment, there has been a tendency to sustain the conventional practice. Therefore, this study intends to suggest the schemes for facilitating policy improvements in the operation of manpower and security regulations in the field of information for the purpose of introducing a successful next-generation coastal guard system. To do this, the approach of this study was focused on the policies for the operation of the guard system. This is in contrast to previous studies that centered on its equipment and technologies. In addition, how to efficiently operate the guard system was also studied in view of cognitive science by deriving the most efficient time for a person to execute surveillance through the monitor based on the previous studies.

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Monte Carlo Simulation based Optimal Aiming Point Computation Against Multiple Soft Targets on Ground (몬테칼로 시뮬레이션 기반의 다수 지상 연성표적에 대한 최적 조준점 산출)

  • Kim, Jong-Hwan;Ahn, Nam-Su
    • Journal of the Korea Society for Simulation
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    • v.29 no.1
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    • pp.47-55
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    • 2020
  • This paper presents a real-time autonomous computation of shot numbers and aiming points against multiple soft targets on grounds by applying an unsupervised learning, k-mean clustering and Monte carlo simulation. For this computation, a 100 × 200 square meters size of virtual battlefield is created where an augmented enemy infantry platoon unit attacks, defences, and is scatted, and a virtual weapon with a lethal range of 15m is modeled. In order to determine damage types of the enemy unit: no damage, light wound, heavy wound and death, Monte carlo simulation is performed to apply the Carlton damage function for the damage effect of the soft targets. In addition, in order to achieve the damage effectiveness of the enemy units in line with the commander's intention, the optimal shot numbers and aiming point locations are calculated in less than 0.4 seconds by applying the k-mean clustering and repetitive Monte carlo simulation. It is hoped that this study will help to develop a system that reduces the decision time for 'detection-decision-shoot' process in battalion-scaled combat units operating Dronebot combat system.

Analysis of Survivability for Combatants during Offensive Operations at the Tactical Level (전술제대 공격작전간 전투원 생존성에 관한 연구)

  • Kim, Jaeoh;Cho, HyungJun;Kim, GakGyu
    • The Korean Journal of Applied Statistics
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    • v.28 no.5
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    • pp.921-932
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    • 2015
  • This study analyzed military personnel survivability in regards to offensive operations according to the scientific military training data of a reinforced infantry battalion. Scientific battle training was conducted at the Korea Combat Training Center (KCTC) training facility and utilized scientific military training equipment that included MILES and the main exercise control system. The training audience freely engaged an OPFOR who is an expert at tactics and weapon systems. It provides a statistical analysis of data in regards to state-of-the-art military training because the scientific battle training system saves and utilizes all training zone data for analysis and after action review as well as offers training control during the training period. The methodologies used the Cox PH modeling (which does not require parametric distribution assumptions) and decision tree modeling for survival data such as CART, GUIDE, and CTREE for richer and easier interpretation. The variables that violate the PH assumption were stratified and analyzed. Since the Cox PH model result was not easy to interpret the period of service, additional interpretation was attempted through univariate local regression. CART, GUIDE, and CTREE formed different tree models which allow for various interpretations.

The Smoking Status and Its Associated Factors of Some Army Soldiers (일부(一部) 병사(兵士)들의 흡연실태(吸煙實態)와 관련요인(關聯要因))

  • Jung, S.J.;Lee, C.G.;Ryu, S.Y.;Kim, K.S.
    • Tuberculosis and Respiratory Diseases
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    • v.51 no.5
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    • pp.426-436
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    • 2001
  • Objective : This study was performed to determine the smoking status and its associated factors in military life among young Korean men to provide data for smoking prevention in military areas as a part of the health promotion program for soldiers. Methods : 1,033 infantrymen serving in 17 military units, which are located in suburbs of K city, were enrolled in this study. A questionnaire on the soldiers smoking status and other various characteristics was obtained from October 2nd to 12th, 2000. Logistic regression analysis was performed on the various variables in order to determine the factors related to smoking. Results : 1) 830(80.3%) out of 1033 subjects had smoked cigarettes and 759 persons(73.4%) were regular smokers. 2) Among the 734 soldiers who started smoking before their military service, 714 soldiers(97.2%) continued to smoke after, while 45 soldiers(15.0%) among the 299 non-smokers started smoking after joining the army. 3) Through the logistic regression analysis. the education level. specialty in the army. smoking amongst the friends they met before military service, smoking amongst soldiers in the army. dating girl friends, drinking, satisfaction with their army lives and the presence of convenient smoking places at the barracks were significant factors related to the prevalence of smoking in soldiers. Conclusion : The factors related with incidence of smoking in the army are the complicated interactions among the individuals personal background, general characteristics of the soldier and the special environment in the barracks. Therefore, to improve national soldiers' health, an active non-smoking campaign and education should be pushed to discourage smoking in the barracks.

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