• Title/Summary/Keyword: Defense technology

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Self-Collision Detection/Avoidance for a Rescue Robot by Modified Skeleton Algorithm (보완 골격 알고리듬을 이용한 구난로봇의 자체 충돌감지/회피)

  • Lee, Wonsuk;Hong, Seongil;Park, Gyuhyun;Kang, Younsik
    • Journal of the Korea Institute of Military Science and Technology
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    • v.18 no.4
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    • pp.451-458
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    • 2015
  • This paper handles self-collision avoidance for a rescue robot with redundant manipulators. In order to detect all available self-collisions in advance, minimum distances between arbitrary robot parts should be monitored in real-time. For the minimum distance estimation, we suggest a modified method from a previous skeleton algorithm which has less computation burden and realize collision avoidance based on a potential function using the proposed algorithm. The resultant command by collision avoidance should not disturb a given primary task, so null-space of joint solution from a CLIK is utilized for collision avoidance by a gradient projection method.

The Optimal Design of Wear Pads for the Final Reduction Drive in Tactical Vehicles (전술차량용 종감속기 마모패드 최적설계에 관한 연구)

  • Shin, Hunyong;Lee, Yong-Jun;Ryu, Jungmin;Kang, Taewoo;Oh, Dae-san;Sim, Jungwook;Shin, Minsu;Son, Kwon-il
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.18 no.10
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    • pp.54-59
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    • 2019
  • The final reduction drive in tactical vehicles has a wear-pad that helps to maintain adequate end floating when the hub assay operates. The input axis and sun gear move repeatedly with the axis when tactical vehicle is operating. The hub assay is designed so that the wear pads won't seize during operation. Seizure of the wear pads during operation results in oil leakage. In our study, the fault mechanism was analyzed to prevent the seizure of the wear pads and an optimal design for the shape and material of the wear-pad was explored. We then observed the changes in temperature, shape, and material of several important parts.

SAR Recognition of Target Variants Using Channel Attention Network without Dimensionality Reduction (차원축소 없는 채널집중 네트워크를 이용한 SAR 변형표적 식별)

  • Park, Ji-Hoon;Choi, Yeo-Reum;Chae, Dae-Young;Lim, Ho
    • Journal of the Korea Institute of Military Science and Technology
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    • v.25 no.3
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    • pp.219-230
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    • 2022
  • In implementing a robust automatic target recognition(ATR) system with synthetic aperture radar(SAR) imagery, one of the most important issues is accurate classification of target variants, which are the same targets with different serial numbers, configurations and versions, etc. In this paper, a deep learning network with channel attention modules is proposed to cope with the recognition problem for target variants based on the previous research findings that the channel attention mechanism selectively emphasizes the useful features for target recognition. Different from other existing attention methods, this paper employs the channel attention modules without dimensionality reduction along the channel direction from which direct correspondence between feature map channels can be preserved and the features valuable for recognizing SAR target variants can be effectively derived. Experiments with the public benchmark dataset demonstrate that the proposed scheme is superior to the network with other existing channel attention modules.

A Simulator Development of Surface Warship Torpedo Defense System considering Bubble-Generating Wake Decoy (기포발생식 항적기만기를 고려한 수상함 어뢰방어체계 시뮬레이터 개발)

  • Wooshik Kim;Myoungin Shin;Jisung Park;Ho Seuk Bae
    • Journal of the Korea Institute of Military Science and Technology
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    • v.27 no.3
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    • pp.416-427
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    • 2024
  • The wake-homing underwater guided weapon that detects and tracks wake generated during voyage of a surface ship is impossible to avoid with the present acoustic deception torpedo defense system. Therefore, research on bubble-generating wake decoy is necessary to deceive wake-homing underwater guided weapon. Experiments in various environments are required to verify the effective operation method and performance of the wake decoy, but performance verification through underwater experiment is limited. In this paper, we develop a simulator for an torpedo defense system of surface ship, which is applied bubble-generating wake decoy, against acoustic, wake, and hybrid homing underwater guided weapon attack. The simulator includes surface ship model, acoustic decoy(static, mobile) model, bubble-generating wake decoy model, search and motion model of underwater guided weapon and so on. By integrating various models, MATLAB GUI simulator was developed. Through the simulation results for various environmental variables by this simulator, it is judged that effective operation method and performance verification of the bubble-generating wake decoy can be performed.

A Study on the Development of Evaluation Indicators for the Proposals of National Defense Core-Technology R&D Projects (국방핵심기술 연구개발의 제안서 평가를 위한 평가지표 개발에 관한 연구)

  • Kim, Chan-Soo;Cho, Kyu-Kab
    • IE interfaces
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    • v.21 no.1
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    • pp.96-108
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    • 2008
  • This paper proposes the systematic design approach for developing the evaluation indicators that evaluate the candidate proposals in the national defense core-technology R&D projects. To improve the validity and fairness of the evaluation indicators, the existing evaluation process in a military and a public sector are surveyed and also the existing evaluation system of the core-technology R&D programs for the national defense is analysed and discussed. A new system for the evaluation indicators is designed by using the axiomatic design, factor analysis and the analytic hierarchy process. It is expected that the proposed evaluation indicators contribute to enhance the fairness and the reliability of the evaluation process for the proposal of the national defense core-technology R&D projects.

화제의 인물

  • Korea Defense Industry Association
    • Defense and Technology
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    • no.3 s.145
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    • pp.74-75
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    • 1991
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금주의 인물

  • Korea Defense Industry Association
    • Defense and Technology
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    • no.11 s.117
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    • pp.60-61
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    • 1988
  • PDF