• Title/Summary/Keyword: 지휘결심

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영상정보용 공용데이터링크 표준화 발전방향

  • Jeong, Jong-Mun;Park, Gyu-Cheol;Won, Tae-Yeon;O, Ui-Hwan;Go, Dong-Cheol;Hong, Seok-Jun;Yun, Chang-Bae;Kim, Ho;Park, Ui-Yeong
    • Information and Communications Magazine
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    • v.28 no.4
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    • pp.41-50
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    • 2011
  • 미래 전에서는 정보의 중요성이 더욱 부각되고 있으며 정보의 수집 및 전파, 정확한 지휘결심 및 전파, 기동타격체계의 통제 등으로 이어지는 지휘통제의 전 과정을 유기적으로 연결하여, 그 성능을 극대화시키는 것이 네트워크 중심전(NCW: Net-Centric Warfare)의 개념이다. NCW 실현을 위해 개발중인 여러 체계 중 주목 받고 있는 것이 무인기(UAV: Unmanned Aerial Vehicle) 이다. 무인기는 감시정찰, 고정밀 타격, 그리고 전투피해평가 기능 등을 수행하며, 전술적인 상황인식이 가능하게 한다. 무인기가 이러한 임무를 수행하기 위해서는 비행체의 상태정보, 비행체의 조종통제정보, 그리고 임무 탑재체가 획득한 정보의 간단없고 정확한 전달이 요구된다. 이러한 정보를 전송하기 위한 비행체와 지상체간의 제반 통신을 데이터 링크(Data Link)라 하며, NCW 구현에 있어서 가장 핵심이 되는 요소이다. 세계 각국은 영상정보 수집자산으로서 무인기와 데이터링크의 개발에 박차를 가하고 있는 실정이며, 우리 군도 전력화가 계획된 각 제대별 무인기의 통합운용을 위한 영상정보 공용데이터 링크 (MPI-CDL: Multi-Platform Image and Intelligence Commom Data Link)를 개발중에 있으며 지속적인 영상정보 수집자산의 소요증가에 따른 주파수 획득문제와 사업별 독자적인 데이터 링크의 개발을 지양하고 기존체계와의 상호운용 및 단절없는 통신을 보장을 위해 개발과 동시에 국가적 차원에서의 기술구조 표준화가 추진되어야 한다. 이러한 시점에서 본고에서는 먼저 선진국의 (CDL : Commom Data Link) 표준화 동향을 알아보고, 상호운용성과 연동을 위한 한국형 MPI-CDL 기술 표준화방향을 제시하고자 한다.

A study on Forecasting The Operational Continuous Ability in Battalion Defensive Operations using Artificial Neural Network (인공신경망을 이용한 대대전투간 작전지속능력 예측)

  • Shim, Hong-Gi;Kim, Sheung-Kown
    • Journal of Intelligence and Information Systems
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    • v.14 no.3
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    • pp.25-39
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    • 2008
  • The objective of this study is to forecast the operational continuous ability using Artificial Neural Networks in battalion defensive operation for the commander decision making support. The forecasting of the combat result is one of the most complex issue in military science. However, it is difficult to formulate a mathematical model to evaluate the combat power of a battalion in defensive operation since there are so many parameters and high temporal and spatial variability among variables. So in this study, we used company combat power level data in Battalion Command in Battle Training as input data and used Feed-Forward Multilayer Perceptrons(MLP) and General Regression Neural Network (GRNN) to evaluate operational continuous ability. The results show 82.62%, 85.48% of forecasting ability in spite of non-linear interactions among variables. We think that GRNN is a suitable technique for real-time commander's decision making and evaluation of the commitment priority of troops in reserve.

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A Study on utilizing Virtual Private Network in National Defense Information Communication Networks (국방정보통신망 VPN 활용에 관한 연구)

  • 전영남;남길현
    • Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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    • 2002.11a
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    • pp.468-472
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    • 2002
  • 미래전에 능동적으로 대비하기 위해서는 제 전장 요소를 연결하여 지휘결심관련 정보를 신속하고 신뢰성 있게 유동시킬 수 있는 기반체계 구축과 구축된 체계를 안전하게 보호할 수 있는 네트워크 보안기술이 필수적으로 요구된다. 이에 본 논문에서는 미국의 국방정보통신망 기반체계인 DISN(Defense Information Systems Network) 구조와 보안체계를 살펴본 후, 확장성, 보안성, 생존성이 향상된 경제적인 국방정보통신망 구축을 위해 전용망 내부의 보안강화와 전용망 기반의 국방정보통신망과 연결하기 위한 인터넷기반 VPN의 안전성 보장을 위해 다양한 보안 메커니즘을 제공하는 IPSEC VPN의 국방정보통신망 활용 모델을 제안한다.

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Comparative Analysis and Implications of Command and Control(C2)-related Information Exchange Models (지휘통제 관련 정보교환모델 비교분석 및 시사점)

  • Kim, Kunyoung;Park, Gyudong;Sohn, Mye
    • Journal of Internet Computing and Services
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    • v.23 no.6
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    • pp.59-69
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    • 2022
  • For effective battlefield situation awareness and command resolution, information exchange without seams between systems is essential. However, since each system was developed independently for its own purposes, it is necessary to ensure interoperability between systems in order to effectively exchange information. In the case of our military, semantic interoperability is guaranteed by utilizing the common message format for data exchange. However, simply standardizing the data exchange format cannot sufficiently guarantee interoperability between systems. Currently, the U.S. and NATO are developing and utilizing information exchange models to achieve semantic interoperability further than guaranteeing a data exchange format. The information exchange models are the common vocabulary or reference model,which are used to ensure the exchange of information between systems at the content-meaning level. The information exchange models developed and utilized in the United States initially focused on exchanging information directly related to the battlefield situation, but it has developed into the universal form that can be used by whole government departments and related organizations. On the other hand, NATO focused on strictly expressing the concepts necessary to carry out joint military operations among the countries, and the scope of the models was also limited to the concepts related to command and control. In this paper, the background, purpose, and characteristics of the information exchange models developed and used in the United States and NATO were identified, and comparative analysis was performed. Through this, we intend to present implications when developing a Korean information exchange model in the future.

A Study of Cyber Operation COP based on Multi-layered Visualization (멀티레이어드 시각화를 적용한 사이버작전 상황도 개발에 관한 연구)

  • Kwon, Koohyung;Kauh, Jang-hyuk;Kim, Sonyong;Kim, Jonghwa;Lee, Jaeyeon;Oh, Haengrok
    • Convergence Security Journal
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    • v.20 no.4
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    • pp.143-151
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    • 2020
  • The cyber battlefield called the fifth battlefield, is not based on geological information unlike the existing traditional battlefiels in the land, sea, air and space, and has a characteristics that all information has tightly coupled correlation to be anlayized. Because the cyber battlefield has created by the network connection of computers located on the physical battlefield, it is not completely seperated from the geolocational information but it has dependency on network topology and software's vulnerabilities. Therefore, the analysis for cyber battlefield should be provided in a form that can recognize information from multiple domains at a glance, rather than a single geographical or logical aspect. In this paper, we describe a study on the development of the cyber operation COP(Common Operational Picture), which is essential for command and control in the cyber warfare. In particular, we propose an architecure for cyber operation COP to intuitively display information based on visualization techniques applying the multi-layering concept from multiple domains that need to be correlated such as cyber assets, threats, and missions. With this proposed cyber operation COP with multi-layered visualization that helps to describe correlated information among cyber factors, we expect the commanders actually perfcrm cyber command and control in the very complex and unclear cyber battlefield.

Proposal of a framework for evaluating the operational impact of cyber attacks on aviation weapons systems(EOICA) (항공무기체계 사이버공격에 대한 작전영향성평가 프레임워크 제안)

  • Hong, Byoung-jin;Kim, Wan-ju;Lee, Soo-jin;Lim, Jae-sung
    • Convergence Security Journal
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    • v.20 no.4
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    • pp.35-45
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    • 2020
  • Cyber attacks on the aviation weapon system, a state-of-the-art asset, have become a reality and are approaching as a constant threat. However, due to the characteristics of embedded software of the current aviation weapon system, it is managed and operated without connection to the network in peacetime, so the response management to cyber attacks is relatively weak. Therefore, when a cyber attack becomes a reality, it is urgent to prepare and evaluate measures for the adverse effects that such attack will have on the execution of the Air Tasking Order(ATO). In this paper, we propose a framework for operational impact assessment in order to avoid confusion in ATO execution and systematic response to cyber attacks on aviation weapons systems. The proposed framework is designed to minimize the negative impact on operations against cyber attacks that may occur under no warning by analyzing the impact on air operations for each aviation weapon system and standardizing countermeasures for this. In addition, it supports the operational commander to make a quick decision to command for the execution of the operation even in a situation where a cyber attack occurs.

Modeling and Analysis for Efficient Joint Combat Fire Operation of Army Artillery and Army Aviation (효율적인 육군항공과 포병자산의 통합화력 운용방안 판단을 위한 모델링 방법론 및 분석)

  • Lim, Jong-Won;Kwon, Hyog-Lae;Lee, Tae-Eog
    • Journal of the Korea Society for Simulation
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    • v.23 no.2
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    • pp.47-55
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    • 2014
  • Most combat simulation models, including Korean Army's combat models for simulation analysis, have too much limitations to be used for analysis of complex combats like joint combat fires. We analyze requirements for modeling and simulation of Fire-Eagle, which is a joint combat fire model of ground combat fires and army aviation. We then propose a simulation model for Fire Eagle and derive operational strategies for improving the joint combat fire. To do these, we analyze effectiveness of specific operational plans and scenarios by using the simulation model. We demonstrate ways of developing efficient and effective operational plans from the simulation experimental results.

Ontology-based Context-aware Framework for Battlefield Surveillance Sensor Network System (전장감시 센서네트워크시스템을 위한 온톨로지 기반 상황인식 프레임워크)

  • Shon, Ho-Sun;Park, Seong-Seung;Jeon, Seo-In;Ryu, Keun-Ho
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.48 no.4
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    • pp.9-20
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    • 2011
  • Future warfare paradigm is changing to network-centric warfare and effects-based operations. In order to find first and strike the enemy in the battlefield, friendly unit requires real-time target acquisition, intelligence collection, accurate situation assessment, and timely decision. The rapid development in advanced sensor technology and wireless networks requires a significant change in operational concepts of the battlefield surveillance. In particular, the introduction of a battlefield surveillance sensor network system is a big challenge to the ground forces which have lack of automated information collection assets. Therefore this paper proposes an ontology-based context-aware framework for the battlefield surveillance sensor network system which is needed for early finding the enemy and visualizing the battlefield in the ground force operations. Compared with the performance of existing systems, the one of the proposed framework has shown highly positive results by applying the context systems evaluation method. The framework has also proven to be satisfactory by the structured evaluation method using device collaboration. Since the proposed ontology-based context-aware framework has a lot of advantages in terms of scalability and reusability, the ground force's reconnaissance and surveillance system can be widely applied to expand in the future. And, ontology-based model has some weak points such as ontology data size, processing time, and limitation of network bandwidth. However, these problems can be resolved by customizing properly to fit the mission and characteristics of the unit. Moreover, development of the next-generation communication infrastructure can expedite the intelligent surveillance and reconnaissance service and may be expected to contribute greatly to expanding the information capacity.

Multi-source information integration framework using self-supervised learning-based language model (자기 지도 학습 기반의 언어 모델을 활용한 다출처 정보 통합 프레임워크)

  • Kim, Hanmin;Lee, Jeongbin;Park, Gyudong;Sohn, Mye
    • Journal of Internet Computing and Services
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    • v.22 no.6
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    • pp.141-150
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    • 2021
  • Based on Artificial Intelligence technology, AI-enabled warfare is expected to become the main issue in the future warfare. Natural language processing technology is a core technology of AI technology, and it can significantly contribute to reducing the information burden of underrstanidng reports, information objects and intelligences written in natural language by commanders and staff. In this paper, we propose a Language model-based Multi-source Information Integration (LAMII) framework to reduce the information overload of commanders and support rapid decision-making. The proposed LAMII framework consists of the key steps of representation learning based on language models in self-supervsied way and document integration using autoencoders. In the first step, representation learning that can identify the similar relationship between two heterogeneous sentences is performed using the self-supervised learning technique. In the second step, using the learned model, documents that implies similar contents or topics from multiple sources are found and integrated. At this time, the autoencoder is used to measure the information redundancy of the sentences in order to remove the duplicate sentences. In order to prove the superiority of this paper, we conducted comparison experiments using the language models and the benchmark sets used to evaluate their performance. As a result of the experiment, it was demonstrated that the proposed LAMII framework can effectively predict the similar relationship between heterogeneous sentence compared to other language models.

The Study on the improvement plan for Military combat power by the future computer (미래형컴퓨터를 이용한 군전투력 발전방안 연구)

  • Heo, Yeong Dae
    • Convergence Security Journal
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    • v.13 no.5
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    • pp.57-66
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    • 2013
  • Predicting pattern of future combat ensures a successful war. It is possible to anticipate the shape of the future combat from the fighting method of US Army in the Iraq War. The fighting method: a series of combat progress by real time information to pinpoint strike using a guided weapon by GPS, an intelligence satellite and unmanned surveillance vehicle (USV), shows that real time unification combat power is key element for decide outcome of a war. The NCW is an organically connected network centric warfare paradigm by networking a factor of operation. In this paper, studied on the improvement plan for combat power by the future computer like a portable computer, an audio-recognized computer and non-keyboard computer. In addition, this paper attempts to establish a comprehensive intelligence network of Korea Marine Corps and to apply to combat or training.