• Title/Summary/Keyword: Integrated Weapon System Data Base

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Research of a Development Plan on the Integrated Weapon System Database based on Integrated Operation and Management System for the Aircraft Development Management (항공기 체계운영관리시스템 기반의 통합무기체계데이터베이스 발전 방안 연구)

  • Chung, Joon-Young;Kim, Cheon-Youn;Kim, Jong-Jin;Lee, Sang-Bum
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.1 s.45
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    • pp.269-276
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    • 2007
  • National defense research and development is trying to develop the weapon system to satisfy users' requirements at minimum cost, high quality and the shortest period. Under integrated database computer environments, development processes and tools have been developed to implement system engineering and concurrent engineering systematically. In the aerospace defense weapon system, the fixed wing development department has developed and operated the integrated operation and management information system based on web technology to manage efficiently the technical information generated by the R&D process. When this system was applied to the existing R&D project for the aircraft weapon system, it proved and verified its efficiency. In this paper, we describe the future development plan of an integrated R&D framework and an integrated weapon system database based on the integrated operation and management information system which are able to centrol the technical information of KF-X, UAV(Unmanned Aerial Vehicles) and UCAV(Unmanned Combat Aerial Vehicles) programs. We also describe an interoperability and integration plan with WISEMAN which will be operated soon in our research Institute.

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A Study on the Information Modeling of Defense R&D Process Using IDEF Methodology (IDEF 방법론을 이용한 국방 연구개발 프로세스의 정보모델링 연구)

  • Kim, Chul-Whan
    • 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.

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Preemptive Failure Detection using Contamination-Based Stacking Ensemble in Missiles

  • Seong-Mok Kim;Ye-Eun Jeong;Yong Soo Kim;Youn-Ho Lee;Seung Young Lee
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.5
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    • pp.1301-1316
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    • 2024
  • In modern warfare, missiles play a pivotal role but typically spend the majority of their lifecycle in long-term storage or standby mode, making it difficult to detect failures. Preemptive detection of missiles that will fail is crucial to preventing severe consequences, including safety hazards and mission failures. This study proposes a contamination-based stacking ensemble model, employing the local outlier factor (LOF), to detect such missiles. The proposed model creates multiple base LOF models with different contamination values and combines their anomaly scores to achieve a robust anomaly detection. A comparative performance analysis was conducted between the proposed model and the traditional single LOF model, using production-related inspection data from missiles deployed in the military. The experimental results showed that, with the contamination parameter set to 0.1, the proposed model exhibited an increase of approximately 22 percentage points in accuracy and 71 percentage points in F1-score compared to the single LOF model. This approach enables the preemptive identification of potential failures, undetectable through traditional statistical quality control methods. Consequently, it contributes to lower missile failure rates in real battlefield scenarios, leading to significant time and cost savings in the military industry.