• Proceedings of the Korean Society of Disaster Information Conference
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• 2015.11a
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• pp.205-208
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• 2015

재난정보시스템은 재난에 대하여 예방, 대비, 대응, 복구 단계별 활동을 지원하기 위한 정보시스템이다. 재난정보시스템은 여러 형태의 재난에 대하여 여러 수준의 다양한 정보자원을 이용해야 하고 여러 임무를 맡고 있는 다양한 인적자원과 다양한 물적 자원을 활용하여 준비하고 빠르게 대응해야 한다. 재난은 지역별로 대응하게 되는데 기존의 시스템은 해당 지역에 대한 정보만을 파악할 수 밖에 없으며, 통합적인 상황 분석이 부족하고, 지역재난상황에 따라 표준행동에 의한 자동적 실시간 임무부여와 실시간 보고의 처리, 재난관리자의 경험적 지식을 활용될 수 있는 정보시스템화는 미흡한 실정이다. 본 연구에서는 지역단위 홍수대응을 위하여 지역별 재난정보시스템이 P2P 분산연결체제로 재난과 유관한 다른 지역의 재난정보를 공유할 수 있고, 국방, 경찰, 보안 분야에 적용되어온 정보융합(Information fusion)기술과 비즈니스 룰(BRMS)의 규칙기반 지능형 기술을 활용하여 여러 수준의 다양한 정보를 종합 분석하여 통합적인 상황정보를 제공하고, 표준행동(SOP) 요령과 지역 재난관리자의 지식을 활용하여 인적 자원과 물적 자원에 대한 대응계획을 제시하여 대응조치를 선택할 수 있도록 하며, 현장 상황에 따른 실시간 임무 부여와 상황 보고를 처리할 수 있는 지능형 지역 홍수대응 재난정보시스템 프레임워크를 제안한다.

• Journal of Information Management
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• v.39 no.2
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• pp.1-25
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• 2008

This study is to investigate the user behavior of defense development and test researchers working for A research institute to provide advanced library services. Based on the prior studies about the subject, survey through questionnaires were conducted, and the data analyzed using SPSS 12.0. Results of the analyses are as follows: The researchers generally gathered information 2 to 3 times per month. The major reason for information gathering was to solve problems and do their tasks. They considered accuracy of information as the most important factor when they gather information. Finding and selecting information sources were the most difficult task for them in retrieving, acquiring and using information. They have most frequently used digital materials (67%), printed materials next (26%), and non-book materials (6%). Internet was both the most frequently used and most satisfied information source for the researchers.

• 한국IT서비스학회:학술대회논문집
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• 2008.11a
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• pp.486-489
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• 2008

재난방재시스템은 재난에 대하여 예방, 대비, 대응, 복구 단계별 활동을 지원하기 위한 정보시스템이다. 재난방재시스템은 여러 형태의 재난에 대하여 여러 수준의 다양한 정보자원을 이용해야 하고 여러 임무를 맡고 있는 다양한 인적자원과 다양한 물적 자원을 활용하여 준비하고 빠르게 대응해야 한다. 기존의 재난방재시스템은 통합적인 상황분석이 부족하고, 지역재난상황에 따라 표준행동에 의한 자동적 실시간 임무부여와 실시간 보고의 처리, 재난관리자의 경험적 지식을 활용될 수 있는 정보시스템화는 미흡한 실정이다. 본 연구에서는 주로 국방, 경찰, 보안 분야에 적용되어온 정보융합(Information fusion)기술과 비즈니스 룰(BRMS)의 규칙기반 지능형 기술을 활용하여 여러 수준의 다양한 정보를 종합 분석하여 통합적인 상황정보를 제공하고, 표준행동 요령과 지역 재난관리자의 지식을 활용하여 인적자원과 물적 자원에 대한 대응계획을 제시하여 대응조치를 선택할 수 있도록 하며, 현장 상황에 따른 실시간 임무 부여와 상황 보고를 처리할 수 있는 정보융합기반 지능형 재난방재 프레임워크를 제안한다. 본 연구의 프레임워크는 지역단위 재난방재에 적용을 고려하고 있으며 오픈소스 소프트웨어를 같이 활용하는 프로토타입 구현을 계획하고 있다.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.169-178
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• 2020

The reductions of troops/human resources, and improvement in combat power have made Korean Department of Defense actively adapt 4th Industrial Revolution technology (Artificial Intelligence, Big Data). The defense information system has been developed in various ways according to the task and the uniqueness of each military. In order to take full advantage of the 4th Industrial Revolution technology, it is necessary to improve the closed defense datamanagement system.However, the establishment and usage of data standards in all information systems for the utilization of defense big data and artificial intelligence has limitations due to security issues, business characteristics of each military, anddifficulty in standardizing large-scale systems. Based on the interworking requirements of each system, data sharing is limited through direct linkage through interoperability agreement between systems. In order to implement smart defense using the 4th Industrial Revolution technology, it is urgent to prepare a system that can share defense data and make good use of it. To technically support the defense, it is critical to develop Multi Repository Meta-Data Management (MRMM) that supports systematic standard management of defense data that manages enterprise standard and standard mapping for each system and promotes data interoperability through linkage between standards which obeys the Defense Interoperability Management Development Guidelines. We introduced MRMM, and implemented by using vocabulary similarity using machine learning and statistical approach. Based on MRMM, We expect to simplify the standardization integration of all military databases using artificial intelligence and bigdata. This will lead to huge reduction of defense budget while increasing combat power for implementing smart defense.

• Journal of the Korea society of information convergence
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• v.7 no.1
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• pp.1-16
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• 2014

In this study, in light of the reality that the need for systematic development of military service resource management and alternative service discipline / switching service discipline has been discussed for illegal liquidation of military service obligations (Tekketsu) in connection with the military service system, and pluralistic it is assumed judgment if centralized military manpower administration (MMA) the recruitment structure that is, military service resource management that to effectively manage. Military service resources decision to systematic management of resources military service, military service of centralized resource management that MMA is the center, the efficiency of the plan. It is determined that it can improve the precision, thereby increasing and the resource-specific Service Discipline instruction, fairness to ensure consistency in the resource management of Alternate Service Discipline / Switching Service Discipline among, high quality and accessibility of such people petition I thought there may be a service provider is realized, that centralization of MMA is also realized, trying to allo improved fairness associated with the performance of military service obligation. Therefore, in this study, we are exploring a scheme that is able to achieve the unification of the human resource management of military service entity to perform the duty of national defense.

• Convergence Security Journal
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• v.13 no.1
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• pp.37-43
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• 2013

In 2010, the Ministry of National Defense decided to build a MegaCenter including the cloud computing technology by 2014, as part of the '2012 Information Service Plan', which is now underway. The Cloud computing system environment should be designed applying cloud computing technology and policy for an efficient infrastructure that many IT resources are available in the data center as a concentrated form. That is, the system should be designed in such a way that clouding services will be efficiently provided to meet the needs of users and there will not be unnecessary waste of resources. However, in order to build an optimal system, it should be possible to predict the service performance and the resource availability at the initial phase of system design. In this paper, using the CloudAnalyst simulator to predict availability of the K-defence cloud computing system service, conducts cloud modeling and analysis of the 'Facebook', one of the most famous social network service applications with most users in the world. An Optimal K-Defense cloud computing design model is proposed through simulation results.

• Journal of the military operations research society of Korea
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• v.36 no.1
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• pp.123-140
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• 2010

Interworking Web Application to share the resource between Battlefield Management Systems(BMS) is critical issues for accomplishment of information superior. However, authentication system of BMS differ from each other because of having the independent plan for system build. This problem causes inefficiency such as the information insufficiency owing to not share web application and the need of additional laptops. To solve the problem, in this paper, we propose the improved certificate acquisition and verification algorithm for the user of different BMS. By testing the proposed algorithm appling to the real field, we verify the performance of proposed method.

• The Journal of the Korea Contents Association
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• v.12 no.11
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• pp.502-510
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• 2012

As defense science and technology are developing, smart weapons are being developed continually. The collection and analysis of the future strategic weapon information from all over the world have become a greater priority because information sharing became active. So, a system to manage and analyze heterogeneous defense intelligence is required. Semantic Web is the next generation knowledge information management technology for integrating, searching and navigating heterogeneous knowledge resource. Recently, Semantic Web is wildly being used in intelligent information management system. Semantic Web supports the analysis with the high reliability because it supports the simple keyword search as well as the semantic based information retrieval. In this paper, we propose the semantic web based multi-dimensional information analysis system on the national defense weapons that constructs ontology for various weapons information such as weapon specifications, nations, manufacturers and technologies and searches and analyses the specific weapon based on ontology. The proposed system supports the semantic search and multi-dimensional information analysis based on the relations between weapon specifications. Also, our system improves the efficiency on acquiring smart weapon information because it is developed with ontology based on military experts' knowledge and various web documents related with various weapons and intelligent search service.

• Defense and Technology
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• no.10 s.236
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• pp.22-33
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• 1998

21세기를 대비하는 지상군은 미래의 전장운영개념을 다양한 위협에 대처할 수 있도록 재정립하여야 한다. 또한 이 기본개념을 바탕으로 현존전력 극대화하고 미래전력을 창출하기 위해 방위력 개선 방향을 설정하여야 한다. 특히 "I.S.R (정보.감시.정찰)+$C^4I$+PGM(정밀유도무기)" 체계의 통합하에 정보전, 정밀타격전, 입체고속전 등을 수행할 수 있도록 하며 간부계발과 교리, 훈련, 군구조 및 편성, 무기.장비, 자원관리의 제 요소를 총합체계적으로 발전시켜 나가야 한다.

• The Journal of Society for e-Business Studies
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• v.10 no.1
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• pp.41-60
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• 2005

IDEF(Integrated Definition) method, a standard methodology of CALS process modelling, was applied to the weapon system R&D process to provide information modelling by analysing about goal, input, output and constraints in the R&D process. The information to be managed in R&D institutes was identified by using SmartER which is the automation program of IDEF1/1X and obtained information modelling for TO-BE model. The work process of weapon system R&D consists of the concept study phase, the exploration development phase, the system development phase, the prototype manufacturing phase, and the report writing of R&D results phase. The information modelling of weapon system R&D is the R&D work process with information sharing by means of IWSDB Since IDEF is suitable for large scale system development like weapon system R&D, further studies on IDEF would be required to achieve the goal of defense CALS.