• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.26 no.1
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• pp.1-7
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• 2008

The government is spending a large amount of budget to establish NGIS due to the importance of geospatial information. This paper deals with the study of schema mapping technique which can efficiently establish military topographic DB forest layer using digital forest map and other existing geospatial DB. In order to accomplish this each schema of these types of DB was analyzed then, mapping table which connects related attributes was created and finally, military topographical DB forest layer of the area of interest was efficiently established. This research was able to display solutions that resolved compatibility issues between existing geospatial DB of these types, established by the schema mapping techniques described in this research.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2007.04a
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• pp.257-260
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• 2007

The government is spending a large amount of budget to establish NGIS due to the importance of geospatial information. This paper deals with the study of schema mapping technique which can efficiently establish military topographic DB forest layer using digital forest map and other existing geospatial DB. In order to accomplish this 1) each schema of these types of DB was analyzed then, 2) mapping table which connects related attributes was created and finally, 3) military topographical DB forest layer of the area of interest was efficiently established. This research was able to display solutions that resolved compatibility issues between existing geospatial DB of these types, established by the schema mapping techniques described in this research.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.05a
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• pp.126-126
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• 2001

국방 시뮬레이션 유형은 워게임 모형으로 분류되는 Constructive 시뮬레이션, 실 기동에 의한 Live 시뮬레이션, 그리고 가상현실을 적용한 Virtual 시뮬레이션 등 3가지로 분류될 수 있다. 워게임 시뮬레이션은 일반적으로 대부대 훈련에 적합하지만 많은 가정사항을 내포하게 됨으로써 현실감이 떨어지고 실 기동 시뮬레이션은 실전적인 훈련이 가능하지만 전구급 수준의 대부대 훈련에의 적용이 곤란한 단점이 있다. 또한 이들 시뮬레이션 유형들은 개별적으로 운용됨으로써 각 유형들이 가지고 있는 취약점이 노출되고 있는 현실이다. STOW(합성전장 훈련체계, Synthetic Theater of War)는 실제훈련이 가능한 분야는 실 기동으로, 실 훈련이 불가능한 전장상황은 시뮬레이션 기법을 활용하여 상호결합 시킴으로써 각 시뮬레이션 유형들의 제한사항을 상호 보완하여 실제와 유사한 전장을 조성하여 훈련하는 종합적이고 체계적인 훈련체계로써 21세기에 예상되는 전쟁이외의 작전(OOTW), 비대칭전, 정밀타격 및 C4I를 모의할 수 있는 엔티티 수준의 합성전장이다. 본 고는 STOW의 구성요소(합성부대, 합성환경, 시뮬레이션 네트워크, 지형 DB 개발도구, C4I 인터페이스, 기반체계 등)를 국내기술 능력과 비교, 분석함으로써 우리의 여건에 적합한 STOW 체계 구축방안을 제시하고자 한다.

• Journal of the Korea Society for Simulation
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• v.33 no.3
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• pp.13-26
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• 2024

The CBRN(Chemical, Biological, Radiological, and Nuclear) hazard prediction model is a system that supports commanders in making better decisions by creating contamination distribution and damage prediction areas based on the weapons used, terrain, and weather information in the events of biochemical and radiological accidents. NBC_RAMS(Nuclear, Biological and Chemical Reporting And Modeling S/W System) developed by ADD (Agency for Defense Development) is used not only supporting for decision making plan for various military operations and exercises but also for post analyzing CBRN related events. With the NBC_RAMS's core engine, we introduced a CBR hazard assessment scenario analysis system that can generate contaminant distribution prediction results reflecting various CBR scenarios, and described how to apply it in specific purposes in terms of input information, meteorological data, land data with land coverage and DEM, and building data with pologon form. As a practical use case, a technology development case is addressed that tracks the origin location of contaminant source with artificial intelligence and a technology that selects the optimal location of a CBR detection sensor with score data by analyzing large amounts of data generated using the CBRN scenario analysis system. Through this system, it is possible to generate AI-specialized CBRN related to training and analysis data and support planning of operation and exercise by predicting battle field.