• Defense and Technology
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• no.10 s.164
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• pp.32-37
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• 1992

세계 여러나라의 유도무기체계에 적용되고 있거나 개발중인 착화기술의 개략적인 특성과 장단점을 제시하고 각 기술의 수행능력인 성능, 신뢰성, 안전성, 가격등을 비교분석하였습니다. 분석결과, 어느 무기체계에서나 만족될수 있는 만능적인 착화기술은 없으며 적응요구조건과 비용에 따라 각기 특별한 장단점을 가집니다. 그러나 현재 선진국에서 개발되어 시험 적용되고 있는 다이오드레이저를 이용한 착화방법은 본질적인 잇점들 때문에 차후 유도무기 착화기술에 지배적으로 사용될 것으로 판단됩니다

• Defense and Technology
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• no.1 s.71
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• pp.6-18
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• 1985

• Defense and Technology
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• no.2 s.72
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• pp.57-62
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• 1985

• Defense and Technology
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• no.3 s.73
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• pp.19-29
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• 1985

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.10
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• pp.2180-2186
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• 2010

As the substantial increase in battlefield density, multiple and complex weapon systems, Ensuring the Survivability of the platform has been emphasized. Most of platforms have equipped with ASE (Aircraft Survivability Equipment) system in order to protect the platform and operator against at modernized hostile weapon. ASE system enhance the survivability of the platform through providing accurate situation awareness information by detecting and countermeasuring hostile threats. One of Key factor of the AE system performance is handling multiple and complex threats. In this study, it describes the fact that the performance of ASE system with proposed threat integration algorithm is verified in the developed threat emulation system and also, suggests system verification method before deployment by dealing with complex threat situation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.516-520
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• 2010

As the substantial increase in battlefield density, multiple and complex weapon system, Ensuring the Survivability of the platform has been emphasized. Most of platforms have equipped with ASE (Aircraft Survivability Equipment) system in order to take action against at modernized hostile weapon under current battlefield. ASE system enhance the survivability of the platform through providing accurate situation awareness information by detecting and countermeasuring hostile threats. One of Key factor of the AE system performance is handling multiple and complex threats. Multiple and complex threat emulation is an effective means of ASE system verification In this study, It discuss system verification method before installation by dealing with complex threat situation consists of individual threat.

• Journal of the Korea Institute of Military Science and Technology
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• v.23 no.5
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• pp.466-474
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• 2020

Semi-active laser missile systems with high accuracy are necessary to asymmetric threats, such as UAV(Unmanned Aerial Vehicle). They are usually used to attack stationary or slow moving targets, therefore we should study on the laser designator which can detect and track fast moving targets in order to deal with UAV. In this study, design specifications are came up through performance analysis of existing laser designators, and laser designation method for fast moving target is developed. The detection and tracking performance of developed laser designator are verified through inside/outside tests on ground/aerial stationary/moving targets. Through this study, we obtain laser designator techniques that could be applied to actual semi-active laser missile systems.

• Journal of Aerospace System Engineering
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• v.17 no.4
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• pp.18-27
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• 2023

In this paper, the structural-thermal-optical performance analysis of the mirror was performed by setting the laser heat source as the boundary condition of the thermal analysis. For the laser heat source model, the Beer-Lambert model considering semi-transparent optical material based on Gaussian beam was selected as the boundary condition, and the mechanical part was not considered, to analyze the performance of only the mirror. As a result of the thermal analysis, thermal stress and thermal deformation data due to temperature change on the surface of the mirror were obtained. The displacement data of the surface due to thermal deformation was fitted to a Zernike polynomial to calculate the optical performance, through which the performance of the mirror when a high-energy laser was incident on the mirror could be predicted.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.119-125
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• 2023

Through the Ukraine-Russia war, the military importance of drones is being reassessed, and North Korea has completed actual verification through a drone provocation towards South Korea at 2022. Furthermore, North Korea is actively integrating artificial intelligence (AI) technology into drones, highlighting the increasing threat posed by drones. In response, the Republic of Korea military has established Drone Operations Command(DOC) and implemented various drone defense systems. However, there is a concern that the efforts to enhance capabilities are disproportionately focused on striking systems, making it challenging to effectively counter swarm drone attacks. Particularly, Air Force bases located adjacent to urban areas face significant limitations in the use of traditional air defense weapons due to concerns about civilian casualties. Therefore, this study proposes a new passive air defense method that aims at disrupting the object detection capabilities of AI models to enhance the survivability of friendly aircraft against the threat posed by AI based swarm drones. Using laser-based adversarial examples, the study seeks to degrade the recognition accuracy of object recognition AI installed on enemy drones. Experimental results using synthetic images and precision-reduced models confirmed that the proposed method decreased the recognition accuracy of object recognition AI, which was initially approximately 95%, to around 0-15% after the application of the proposed method, thereby validating the effectiveness of the proposed method.