• Title/Summary/Keyword: Defense Model

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A Study on Maturity Model for the Assessment of Cyber Resilience Level in the Defence Information System (국방정보시스템 사이버복원력 수준 평가를 위한 성숙도모델에 관한 연구)

  • Choi, Jae-hyeok;Kim, Wan-ju;Lim, Jae-sung
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.5
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    • pp.1153-1165
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    • 2019
  • Recently, threats of hacking have been increasing on the national intelligence service network and key infrastructure, including the defense field. The defense information system responds to threats from the outside through the network separation, but if the defense information system is hacked, it has a serious impact on the operations of wartime or peacetime military forces. Today, cyberattacks and threats are rising to unpredictable levels and making it practically impossible to completely block and prevent hacking threats completly. So, in this study proposed a maturity model to assess the level of cyber-resilience, which is the ability to ensure the system's viability and maintain continuity through rapid response and recovery if signs of cyberattacks by the defense information system are expected or occurred. The proposed maturity model is expected to contribute to improving the cyber security level of the defense information system by assessing the level of cyber resilience of the defense information system and identifying and supplementing fields that are lacking.

Research on accurate morphology predictive control of CFETR multi-purpose overload robot

  • Congju Zuo;Yong Cheng;Hongtao Pan;Guodong Qin;Pucheng Zhou;Liang Xia;Huan Wang;Ruijuan Zhao;Yongqiang Lv;Xiaoyan Qin;Weihua Wang;Qingxi Yang
    • Nuclear Engineering and Technology
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    • v.56 no.10
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    • pp.4412-4422
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    • 2024
  • The CFETR multipurpose overload robot (CMOR) is a critical component of the fusion reactor remote handling system. To accurately calculate and visualize the structural deformation and stress characteristics of the CMOR motion process, this paper first establishes a CMOR kinematic model to analyze the unfolding and working process in the vacuum chamber. Then, the dynamic model of CMOR is established using the Lagrangian method, and the rigid-flexible coupling modeling of CMOR links and joints is achieved using the finite element method and the linear spring damping equivalent model. The co-simulation results of the CMOR rigid-flexible coupled model show that when the end load is 2000 kg, the extreme value of the end-effector position error is more than 0.12 m, and the maximum stress value is 1.85 × 108 Pa. To utilize the stress-strain data of CMOR, this paper designs a CMOR morphology prediction control system based on Unity software. Implanting CMOR finite element analysis data into the Unity environment, researchers can monitor the stress strain generated by different motion trajectories of the CMOR robotic arm in the control system. It provides a platform for subsequent research on CMOR error compensation and extreme operation warnings.

A Study on Improvement Method of Defense Weapon Systems Interoperability Level Measurement (국방무기체계 상호운용성 수준 측정 개선 방안 연구)

  • Jang, Jae-Deok;Choi, Sang-Taik;Jung, Yun Ho;Choi, Sang-Wook
    • Journal of the Korean Society of Systems Engineering
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    • v.8 no.1
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    • pp.41-49
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    • 2012
  • Recently, the LISI(Level of Information System Interoperability) model has been used to measure level of interoperability in the Ministry of National Defense. This study is proposed for improvement of interoperability level measurement method. The MND has been devoting a lot of effort to ensure defense weapon system interoperability. They enacted related regulations and developed SITES for measuring the level of interoperability. However, the LISI model has problems with using just only DITA and applying MND-AF based on Architecture development. To overcome these problems, this paper proposes how to apply reference model to LISI Model and how to apply LISI Model to MND-AF architecture development.

A War-time Engineering Equipment's Assignment and Operation Model (전시 공병장비 할당 및 운용 모형)

  • Jae-Hyeong Lee;Moon-Gul Lee
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.4
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    • pp.294-303
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    • 2023
  • During wartime, the operation of engineering equipment plays a pivotal role in bolstering the combat prowess of military units. To fully harness this combat potential, it is imperative to provide efficient support precisely when and where it is needed most. While previous research has predominantly focused on optimizing equipment combinations to expedite individual mission performance, our model considers routing challenges encompassing multiple missions and temporal constraints. We implement a comprehensive analysis of potential wartime missions and developed a routing model for the operation of engineering equipment that takes into account multiple missions and their respective time windows of required start and completion time. Our approach focused on two primary objectives: maximizing overall capability and minimizing mission duration, all while adhering to a diverse set of constraints, including mission requirements, equipment availability, geographical locations, and time constraints.

A Study on the Development in Evaluation Indices and Model of the Quality level for Manufacturers of Military Suppliers (군수품 생산업체 품질수준 측정지표 및 모형 개발에 관한 연구)

  • Park, Jun-Hyun;Kim, Min-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.10
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    • pp.107-116
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    • 2019
  • The defense industry has recently been developed for boosting exports of weapon systems. The survey and analysis of the quality level are required to form a relevant policy for expanding the defense industry. Evaluation indices and modeling of the quality level for manufacturers are used to examine the status of internal quality management and quality management system in order to enhance the overall quality level and establish a quality policy in the field of military supplies. There were some restrictions to apply all aspects of the quality level in the previous model. This paper deals with the research and analysis of other types of model for evaluating the quality level, including the model used in the defense field. By enhancing the close link between procedure indices and performance indices, the research and analysis could be conducted objectively and intuitively. The developed and improved model and indices will be used in the next survey of the quality level for manufacturers of military supplies. The survey results will be used to establish effective government quality management policy.

An Optimal Investment Planning Model for Improving the Reliability of Layered Air Defense System based on a Network Model (다층 대공방어 체계의 신뢰도 향상을 위한 네트워크 모델 기반의 최적 투자 계획 모델)

  • Lee, Jinho;Chung, Suk-Moon
    • Journal of the Korea Society for Simulation
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    • v.26 no.3
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    • pp.105-113
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    • 2017
  • This study considers an optimal investment planning for improving survivability from an air threat in the layered air defense system. To establish an optimization model, we first represent the layered air defense system as a network model, and then, present two optimization models minimizing the failure probability of counteracting an air threat subject to budget limitation, in which one deals with whether to invest and the other enables continuous investment on the subset of nodes. Nonlinear objective functions are linearized using log function, and we suggest dynamic programming algorithm and linear programing for solving the proposed models. After designing a layered air defense system based on a virtual scenario, we solve the two optimization problems and analyze the corresponding optimal solutions. This provides necessity and an approach for an effective investment planning of the layered air defense system.

A Study on Developing the Performance Evaluation Indicators of Defense R&D Test Development Projects (국방연구개발 시험개발사업 성과평가지표 개발에 관한 연구)

  • Lee, Hyung-Jun;Kim, Woo-Je;Kim, Chan-Soo
    • IE interfaces
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    • v.23 no.1
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    • pp.78-88
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    • 2010
  • In this paper we develop a model for the performance evaluation of defense R&D test development projects based on analytic hierarchy process. First, evaluation indicators are collected through the related literature survey and a delphi inquiry method. Second, stepwise multiple linear regression is used for developing a hierarchical structure for analytic hierarchy process in the evaluation model, which can make the selected evaluation indicators of the hierarchical structure independent. Also we verify the effectiveness of proposed indicators of the performance evaluation by comparing with the existing evaluation indicators. The developed indicators for the performance evaluation is more reasonable and practical than the previous indicators on defense R&D test development projects.

The Analysis of Granger Causality between GDP and R&D Investments in Government, Private, Defense Sectors (국방 R&D 투자 및 정부, 민간 R&D 투자와 국민소득간의 상호 인과관계 분석)

  • Lee, Jin-Woo;Kwon, O-Sung
    • Journal of the military operations research society of Korea
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    • v.34 no.1
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    • pp.79-98
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    • 2008
  • The purpose of this paper is to find the desirable R&D policies in defense area by analyzing causality between GDP and R&D investments in government, private, defense sectors. We have five variables which are composed of GDP, total R&D investment, R&D investments in government, private and defense sectors to figure out the causality between R&D investment in defense sector and other components. In the course of analysis on causality, we took the unit root test of variables to prevent spurious regression. Also we need to take cointegration test about non-stationary variables before the causality test. According to these test results, we took the causality test using ECM(Error Correction Model) for the models which have cointegrating relations. And we took ordinary Granger causality test for model which doesn't have a long-run stationary relationship. As a result of the causality test, it was shown that there exists the long-nu causality to GDP and R&D investments in government and private sectors from other variables. However, there doesn't exist the causality to defense R&D investment from other variables. We found that there doesn't exist the causality between R&D investments in defense and private sectors, and that they are independent.

An Artificial Neural Network Approach for the Prediction of Unlawful Company in Defense Procurement (인공신경망을 이용한 국방조달 부정당업자 예측모형 개발)

  • Han, Hong-Kyu;Choj, Seok-Cheol
    • Journal of the military operations research society of Korea
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    • v.37 no.1
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    • pp.1-9
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    • 2011
  • The contractor management is one of the important factors for the modem defense acquisition program. The occurrence of unlawful company causes the reason in which defense acquisition program is unable to be reasonably fulfilled and setback to the deployment of defense weapon system. In this paper, we propose the Artificial Neural Network to develop a prediction model for the discrimination of unlawful company in defense procurement. The data which are used in analysis, are obtained targeting domestic small & medium manufacture enterprises. It is expected that our model can be used to improve the program management capability for defense acquisition and contribute to the establishment of efficient procurement procedure through entry of the reliable domestic manufacturer.

Fault Detection Method of Laser Inertial Navigation System Based on the Overlapping Model (중첩모델 기반 레이저 관성항법장치 고장검출 기법)

  • Kim, Cheon-Joong;Yoo, Ki-Jeong;Kim, Hyeon-Suk;Lyou, Joon
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.11
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    • pp.1106-1116
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    • 2011
  • LINS (Laser Inertial Navigation System) consists of RLG (Ring Laser Gyroscopes)/accelerometers and provides real-time navigation information to the target system. Therefore it is very important to make a decision in the real time whether LINS is in the normal operation or not. That is called a fault detection method. In this paper, we propose the fault detection method of LINS based on the overlapping model. We also show that the fault detection probability is increased through overlapping the hardware model and the software model. It is verified through the long-term operation and RAM (Reliability Availability Maintainability) analysis of LINS that the fault detection method proposed in this paper is able to detect about 97% of probable system failures.