• Title/Summary/Keyword: Future Infantry Brigade

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Scenario-based Future Infantry Brigade Information Distribution Capability Analysis (시나리오 기반의 미래 보병여단 정보유통능력 분석 연구)

  • Junseob Kim;Sangjun Park;Yiju You;Yongchul Kim
    • Convergence Security Journal
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    • v.23 no.1
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    • pp.139-145
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    • 2023
  • The ROK Army is promoting cutting-edge, future-oriented military development such as a mobile, intelligent, and hyper-connected Army TIGER system. The future infantry brigade plans to increase mobility with squad-level tactical vehicles to enable combat in multi-domain operations and to deploy various weapon systems such as surveillance and reconnaissance drones. In addition, it will be developed into an intelligent unit that transmits and receives data collected through the weapon system through a hyper-connected network. Accordingly, the future infantry brigade will transmit and receive more data. However, the Army's tactical information communication system has limitations in operating as a tactical communication system for future units, such as low transmission speed and bandwidth and restrictions on communication support. Therefore, in this paper, the information distribution capability of the future infantry brigade is presented through the offensive operation scenario and M&S.

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.