• Journal of Internet Computing and Services
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• v.13 no.5
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• pp.21-31
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• 2012

Threat Evaluation(TE) which has air intelligence attained by identifying friend or foe evaluates the target's threat degree, so it provides information to Weapon Assignment(WA) step. Most of TE data are passed by sensor measured values, but existing techniques(fuzzy, bayesian network, and so on) have many weaknesses that erroneous linkages and missing data may fall into confusion in decision making. Therefore we need to efficient Threat Evaluation system that can refine various sensor data's linkages and calculate reliable threat values under unpredictable war situations. In this paper, we suggest new threat evaluation system based on information fusion JDL model, and it is principle that combine fuzzy which is favorable to refine ambiguous relationships with bayesian network useful to inference battled situation having insufficient evidence and to use learning algorithm. Finally, the system's performance by getting threat evaluation on an air defense scenario is presented.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.37-53
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• 2023

The AI based intelligent command and control system can automatically analyzes the properties of intricate battlefield information and tactical data. In addition, commanders can receive situation analysis results and battlefield awareness through the system to support decision-making. It is necessary to build a battlefield situation analysis dataset similar to the actual battlefield situation for learning AI in order to provide decision-making support to commanders. In this paper, we explain the next step of the dataset construction method of the existing previous research, 'A Virtual Battlefield Situation Dataset Generation for Battlefield Analysis based on Artificial Intelligence'. We proposed a method to build the dataset required for the final battlefield situation analysis results to support the commander's decision-making and recognize the future battlefield. We developed 'Dataset Generator SW', a software tool to build a learning dataset for battlefield situation analysis, and used the SW tool to perform data labeling. The constructed dataset was input into the Siamese Network model. Then, the output results were inferred to verify the dataset construction method using a post-processing ranking algorithm.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.305-313
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• 2021

The upcoming warfare will be network-centric warfare with the acquiring and sharing of information on the battlefield through the connection of the entire weapon system. Therefore, the amount of information generated increases, but the technology of evaluating the information is insufficient. Threat assessment is a technology that supports a quick decision, but the information has many uncertainties and is difficult to apply to an advanced battlefield. This paper proposes a threat assessment based on artificial intelligence while removing the target uncertainty. The artificial intelligence system used was a fuzzy inference system and a multi-layer perceptron. The target was classified by inputting the unique characteristics of the target into the fuzzy inference system, and the classified target information was input into the multi-layer perceptron to calculate the appropriate threat value. The validity of the proposed technique was verified with the threat value calculated by inputting the uncertain target to the trained artificial neural network.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04a
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• pp.394-396
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• 2002

'분산 모의훈련 전장환경'은 실제 또는 가상전쟁, 전투 등 군사 상황을 묘사하기 위해, 둘 또는 그 이상의 적대 세력간에 발생하는 군사적 상황을 게임규칙, 자료 및 절차를 사용하여 모의하는 군사작전 게임(war game)을 의미한다. 이는 컴퓨터와 네트워크를 이용한 '합성 가상 전장환경'에서 구현되는데, 특성상 다수의 게이머와 게이머, 게이머와 객체, 객체들간에 네트워크를 통한 빈번한 메시지 송.수신을 통한 정보를 교환하고 실시간으로 상호동작 한다. 즉, '합성 가상 전장환경'의 구현을 위해서는 신뢰성과 실시간성을 보장하는 다자간 통신의 보장이 핵심을 이룬다. 그러나, 일반 인터넷상의 브로드캐스팅 기술을 적용할 경우, 가상전장환경에서 폭주하는 통신량을 실시간으로 처리하기엔 어려운 문제점이 있다. 따라서 '합성 가상전장가상환경'의 보다 효과적인 구현을 위해서는 고신뢰 실시간 다중 그룹통신 기술의 개발이 요구된다. 본 논문은 그룹통신 개념에 기반하여 가상 합성 전장 환경에 적용할 수 있는 효율적인 전송 서비스를 위한 네 가지 전송 알고리즘을 제시하며, API 설계를 통해 서비스를 구현한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.546-548
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• 2015

최근에는 자동차 전장용 소프트웨어 결함으로 인한 피해로 자동차 리콜 사태가 일어나는 것을 종종 볼 수 있다. 소프트웨어 검사와 TMMi 프로세스를 전장용 소프트웨어에 이용한다면 소프트웨어 결함을 줄이며 사고 발생률 역시 감소될 수 있다. 전장용 소프트웨어에 이를 적용해 볼 때, 검사 방법에 적합한 방향으로 검사 프로세스를 개선할 수 있으며, 고품질 소프트웨어 또한 구현할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.962-965
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• 2015

차량 전장용 소프트웨어는 자동차 전자 장비들을 제어하는 만큼 그 정확성과 안전성이 검증되어야 한다. 본 연구에서는 차량 전장용 제어 소프트웨어의 제어논리가 프로그래머가 의도한 데로 구성되어 있는지를 코딩단계에서 실험하고 가시화하는 도구를 개발하였다. 이를 위해 제어 소프트웨어와 함께 컴파일될 전장용 운영체제의 정형 모델을 구축하고 운영체제 구현과는 독립적으로 제어 프로그램에서 정의된 Task들의 수행 순서를 모의 실험하여 차량 전장용 운영체제의 Task 상태 변화를 확인할 수 있도록 하였다. 임의 생성된 제어프로그램 코드와 실제 차량 전장용 제어프로그램 코드에 개발된 도구를 적용하여 그 효용성을 확인하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.889-891
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• 2013

A Study of Quality Evaluation Model for Automotive Software R&D Project.

• 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.

• Journal of the Korea Society of Computer and Information
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• v.27 no.6
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• pp.33-42
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• 2022

In the existing intelligent command control system study, the analysis results of the commander's battlefield situation questions are provided from knowledge-based situation data. Analysis reporters write these results in various expressions of natural language. However, it is important to analyze situations about information and intelligence according to context. Analyzing the battlefield situation using artificial intelligence is necessary. We propose a virtual dataset generation method based on battlefield simulation scenarios in order to provide a dataset necessary for the battlefield situation analysis based on artificial intelligence. Dataset is generated after identifying battlefield knowledge elements in scenarios. When a candidate hypothesis is created, a unit hypothesis is automatically created. By combining unit hypotheses, similar identification hypothesis combinations are generated. An aggregation hypothesis is generated by grouping candidate hypotheses. Dataset generator SW implementation demonstrates that the proposed method can be generated the virtual battlefield situation dataset.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.591-594
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• 2017

안전 필수 시스템(Safety-critical system) 중 하나인 차량 전장용 운영체제의 엄밀한 검증을 위하여 모델 기반 테스트 생성기법들이 연구되어 왔다. 그러나 기존의 연구들은 이러한 차량 전장용 운영체제에서 빈번히 사용되는 주기적인 동작을 요하는 작업들에 대한 테스트 생성 문제를 해결하지 못하였다. 본 연구에서는 주기적 태스크의 검증을 지원하지 않았던 기존의 테스트 케이스 생성기에 알람 모델을 추가하여 보완하였다. 이를 통해 차량 전장용 운영체제의 검증에 있어서 주기적 태스크를 포함한 다양한 테스트 케이스를 생성할 수 있었고 차량 전장용 운영체제의 보다 엄밀한 검증이 가능해졌다.