• Title/Summary/Keyword: military tasks

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Unification of the Korean Peninsula and Military Integration Focusing on the Military Tasks (한반도 통일과 군사통합 (군사적 과제를 중심으로))

  • Han, Kwan Soo
    • Convergence Security Journal
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    • v.15 no.7
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    • pp.125-134
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    • 2015
  • This study aims to investigate what to be prepared and implemented for the military integration when South and North Korea are making progress toward unification. Although we can not exactly predict when the unification will be completed at this time, preparations for the military integration should be ready ahead of time. Since the failure of the military integration can threat the unification, elaborated and practical solutions are required. Therefore, the study tries to answer the following questions : 1) What types of the military integration are desirable and what are the prerequisites for the unification of Korean Peninsular? ; 2) What potential military tasks could be caused by military integration? ; 3) What are the core and major tasks among them and how could they be solved in practical aspects?

Derivation of Critical Functions of the Future Attack Helicopter Using QFD (QFD를 이용한 미래 공격헬기의 핵심기능 도출)

  • Lee, Jae-Won;Kwon, Yong-Soo;Ko, Nam-Kyoung
    • Journal of the Korea Institute of Military Science and Technology
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    • v.16 no.3
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    • pp.348-357
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    • 2013
  • This work describes an approach that contributes to derive from mission to critical functions of the attack helicopter under future battle space environment. An existing mission of the attack helicopter is limited to the only shooter oriented functions. In the future environment, mission and its functions of the helicopter might be much expanded. The functions should be derived by the top down approach based on systems engineering approach. In this point of view, this work describes network based future battle environment. From this environment, the missions of the attack helicopter are identified and optimized functions are derived through sequential procedures like from missions to tasks, tasks to activities, and activities to functions. The selected activities are obtained from the tasks using QFD. The weighting scores of the QFD are calculated by the AHP computational procedure. Finally the critical functions are presented through the similar procedure.

Analysis of the Human Performance and Communication Effects on the Operator Tasks of Military Robot Vehicles by Using Extended Petri Nets (확장된 페트리네트를 이용한 차량형 군사로봇의 운용자 성능 및 통신장애 영향분석)

  • Choi, Sang Yeong;Yang, Ji Hyeon
    • Korean Journal of Computational Design and Engineering
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    • v.22 no.2
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    • pp.162-171
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    • 2017
  • Unmanned military vehicles (UMVs) are most commonly characterized as dealing with dull, dirty, and dangerous tasks with automation. Although most of the UMVs are designed to a high degree of autonomy, the human operator will still intervene in the robot's operation, and teleoperate them to achieve his or her mission. Thus, operator capacity, together with robot autonomy and user interface, is one of the most important design factors in the research and development of the UMVs. Further, communication may affect the operator task performance. In this paper, we analyze the operator performance and the communication effects on the operator performance by using the extended Petri nets, called OTSim nets. The OTSim nets was designed by the authors, being extended using pure Petri nets.

Synthetic Image Generation for Military Vehicle Detection (군용물체탐지 연구를 위한 가상 이미지 데이터 생성)

  • Se-Yoon Oh;Hunmin Yang
    • Journal of the Korea Institute of Military Science and Technology
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    • v.26 no.5
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    • pp.392-399
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    • 2023
  • This research paper investigates the effectiveness of using computer graphics(CG) based synthetic data for deep learning in military vehicle detection. In particular, we explore the use of synthetic image generation techniques to train deep neural networks for object detection tasks. Our approach involves the generation of a large dataset of synthetic images of military vehicles, which is then used to train a deep learning model. The resulting model is then evaluated on real-world images to measure its effectiveness. Our experimental results show that synthetic training data alone can achieve effective results in object detection. Our findings demonstrate the potential of CG-based synthetic data for deep learning and suggest its value as a tool for training models in a variety of applications, including military vehicle detection.

Military Training Schedule Optimization Model for Improving the Combat Power of Troop (부대 전투력 향상을 위한 군 교육훈련 일정계획 최적화 모형)

  • Park, Cheol Eon;Jeong, Chang Soon;Kim, Kyung Sup
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.10
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    • pp.240-247
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    • 2020
  • The Korean military is having difficulty maintaining combat power due to the insufficient troop numbers caused by a demographic cliff and the reduction of the mandatory military service period. Recently, discussions on improving the military training system have increased significantly. This paper proposes an optimization model to establish military training schedules to improve combat power. The oblivion and learning effects on training tasks were quantified through a survey and applied to the model. The objective value, combat power, was calculated based on the total task scores of the unit members and the number of task failures after four weeks. The scenarios were configured by the change in educational conditions and initial scores of some tasks. As a result of scenario experiments, combat power has increased by at least 10% and up to 77%, which is sufficient to maintain combat power considering the change in troops. In addition, the planning of combat skill tasks has a significant impact on combat power. Through this research model, it is expected that military training managers will be able to establish a training schedule that maintains or improves the combat power of troops effectively.

A Study on Development of Mid and Long-term Roadmap of National Defense Standardization by the Commercial and Military Collaboration (민.군 협력에 의한 중.장기 국방 표준화 로드맵 개발에 관한 연구)

  • Park, Il-Gwang;Kong, Myung-Bock;Sung, In-Chul
    • IE interfaces
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    • v.22 no.3
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    • pp.287-301
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    • 2009
  • The purpose of this study is to develop a mid and long-term roadmap for "Commercial and Military Collaboration Standardization(CMCS) program." We developed three layer's roadmap through systematical process. The roadmap is composed of four targets, eight projects and forty-six tasks. To evaluate the quality of the roadmap, we applied checklist method and statistical analysis. Consequently, the quality is positive and it shows that the roadmap could apply for CMCS program. In addition, it is expected to contribute to the standardization between military supplies and commercial products.

Recent Progress and Tasks of Arms Control in South and North Korea (최근 남북한 군비통제의 추진현황과 과제)

  • Kim, Kang-nyeong
    • Korea and Global Affairs
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    • v.3 no.2
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    • pp.87-130
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    • 2019
  • This paper aims to analyze the recent progress(current situation) and tasks of arms control in North and South Korea. To this end the paper is composed of 5 chapters titled instruction; recent progress(current situation) of arms control in South and North Korea; constraints and tasks of arms control on the Korean peninsula; and conclusion. One of the most important tasks for the establishment of a peace structure for the coexistence of the Korean people in the 21st century is the realization of military control in order to resolve the acute military confrontation situation and mutual threats. With the 2018 PyeongChang Winter Olympics, the North-South summit and the subsequent talks for peace and denuclearization on the Korean Peninsula, the North Korea-US summit, and subsequent talks are creating conditions for trust building and arms control between the two Koreas. The military trust between the two Koreas and operational arms control are being achieved through the declaration of the April 27 Panmunjom and the 'Military Agreement for the Implementation of the Panmunjom Declaration.' However, since there are constraints on the control of arms control, such as the persistence of hostility and distrust of the two Koreas, the defense treaty between the two Koreas and neighboring countries, the competition of neighboring countries and the complex interests of the Korean peninsula, Trust Building is important. We should resolve the issue of arms control between the two Koreas, taking into account the trend of international arms control over the internal and external dynamics of the Korean peninsula gradually and carefully, with a vision of long-term unification security.

Analyzing the Functional Spaces of Military Dining Facilities Using Analytic Hierarchy Process (AHP를 이용한 군 취사식당 기능공간 분석)

  • Lee, Seung-Hoo;Lee, Hyun-Soo;Park, Moonseo;Ji, Sae-Hyun
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.36 no.5
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    • pp.155-164
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    • 2020
  • This research used Analytic Hierarchy Process(AHP) to analyze the importance and priority of functional space and evaluation factors of each functional space of the military dining facility. Dining in the military is an important factor in restoring combat power and promoting morale. The military dining facility serves as a not only for meals, but also for watching TV, education and club activities. Workers working in dining facility spend most of their work hours in dining facility, perform tasks such as cooking, dishwashing, and leftover disposal, and take breaks. As such, the military dining facility is a space where various functions are performed, and space planning should take into account these various functions when planning the building of the dining facility. However, the criteria for defense and military facilities, which are the basis for planning the space of military dining facility, are calculated only by simply analyzing the standard floor plan to match the size of the person-to. Therefore, when there is space to be reduced in the total area, there are side effects such as leaving visible table space without consideration for priority or functional space, unseen office space, and adjusting the entire area through reduction of the lounge. Accordingly, based on the priority of the space that the staff of the military dining facility considers important, this research aims to analyze the characteristics of each functional space through classification according to its unique function. This can be an indicator that can be used as a basis for future revision of the building floor area standards of the defense and military facilities standards, and it can improve usability with an efficient space plan that takes into account the characteristics of the Korean military and the satisfaction of its workers. Furthermore, efficient use of the defense budget through rational building plans can contribute to budget reduction.

Analysis of Munitions Contract Work Using Process Mining (프로세스 마이닝을 이용한 군수품 계약업무 분석 : 공군 군수사 계약업무를 중심으로)

  • Joo, Yong Seon;Kim, Su Hwan
    • Journal of Intelligence and Information Systems
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    • v.28 no.4
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    • pp.41-59
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    • 2022
  • The timely procurement of military supplies is essential to maintain the military's operational capabilities, and contract work is the first step toward timely procurement. In addition, rapid signing of a contract enables consumers to set a leisurely delivery date and increases the possibility of budget execution, so it is essential to improve the contract process to prevent early execution of the budget and transfer or disuse. Recently, research using big data has been actively conducted in various fields, and process analysis using big data and process mining, an improvement technique, are also widely used in the private sector. However, the analysis of contract work in the military is limited to the level of individual analysis such as identifying the cause of each problem case of budget transfer and disuse contracts using the experience and fragmentary information of the person in charge. In order to improve the contract process, this study analyzed using the process mining technique with data on a total of 560 contract tasks directly contracted by the Department of Finance of the Air Force Logistics Command for about one year from November 2019. Process maps were derived by synthesizing distributed data, and process flow, execution time analysis, bottleneck analysis, and additional detailed analysis were conducted. As a result of the analysis, it was found that review/modification occurred repeatedly after request in a number of contracts. Repeated reviews/modifications have a significant impact on the delay in the number of days to complete the cost calculation, which has also been clearly revealed through bottleneck visualization. Review/modification occurs in more than 60% of the top 5 departments with many contract requests, and it usually occurs in the first half of the year when requests are concentrated, which means that a thorough review is required before requesting contracts from the required departments. In addition, the contract work of the Department of Finance was carried out in accordance with the procedures according to laws and regulations, but it was found that it was necessary to adjust the order of some tasks. This study is the first case of using process mining for the analysis of contract work in the military. Based on this, if further research is conducted to apply process mining to various tasks in the military, it is expected that the efficiency of various tasks can be derived.

An Empirical Study on Improving the Accuracy of Demand Forecasting Based on Multi-Machine Learning (다중 머신러닝 기법을 활용한 무기체계 수리부속 수요예측 정확도 개선에 관한 실증연구)

  • Myunghwa Kim;Yeonjun Lee;Sangwoo Park;Kunwoo Kim;Taehee Kim
    • Journal of the Korea Institute of Military Science and Technology
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    • v.27 no.3
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    • pp.406-415
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    • 2024
  • As the equipment of the military has become more advanced and expensive, the cost of securing spare parts is also constantly increasing along with the increase in equipment assets. In particular, forecasting demand for spare parts one of the important management tasks in the military, and the accuracy of these predictions is directly related to military operations and cost management. However, because the demand for spare parts is intermittent and irregular, it is often difficult to make accurate predictions using traditional statistical methods or a single statistical or machine learning model. In this paper, we propose a model that can increase the accuracy of demand forecasting for irregular patterns of spare parts demanding by using a combination of statistical and machine learning algorithm, and through experiments on Cheonma spare parts demanding data.