• ETRI Journal
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• 제35권5호
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• pp.748-756
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• 2013

This paper addresses the problem of online hop timing detection and frequency estimation of multiple frequency-hopping (FH) signals with antenna arrays. The problem is deemed as a dynamic one, as no information about the hop timing, pattern, or rate is known in advance, and the hop rate may change during the observation time. The technique of particle filtering is introduced to solve this dynamic problem, and real-time frequency and direction of arrival estimates of the FH signals can be obtained directly, while the hop timing is detected online according to the temporal autoregressive moving average process. The problem of network sorting is also addressed in this paper. Numerical examples are carried out to show the performance of the proposed method.

• 항공우주시스템공학회지
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• 제15권2호
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• pp.36-44
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• 2021

Unmanned aerial vehicles (UAVs) are increasingly needed as they can replace manned aircrafts in dangerous military missions. However, because of their low autonomy, current UAVs can execute missions only under continuous operator control. To overcome this limitation, higher autonomy levels of UAVs based on autonomous situational awareness is required. In this paper, we propose an autonomous situational awareness software consisting of situation awareness management, threat recognition, threat identification, and threat space analysis to detect dynamic situational change by external threats. We implemented the proposed software in real mission computer hardware and evaluated the performance of situational awareness toward dynamic radar threats in flight simulations.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회A
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• pp.222-227
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• 2008

This study is focused on an integrated numerical modeling enabling one to investigate the dynamic behavior and failure of 2-D textile composite and 3-D orthogonal woven composite structures weakened by micro-cracks and subjected to an impact load. The integrated numerical modeling is based on: I) determination of governing equations via a three-level hierarchy: micro-mechanical unit cell analysis, layer-wise analysis accounting for transverse strains and stresses, and structural analysis based on anisotropic plate layers, II) development of an efficient computational approach enabling one to perform transient response analyses of 2-D plain woven and 3-D orthogonal woven composite structures featuring the matrix cracking and exposed to time-dependent loads, III) determination of the structural characteristics of the textile-layered composites and their degraded features under various geometrical yarn shapes, and finally, IV) assessment of the implications of stiffness degradation on dynamic response to impact loads.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권9호
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• pp.2231-2252
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• 2012

With the prevalence of diverse services-oriented applications, such as IPTV systems and on-line games, the current underlying communication networks face more and more challenges on the aspects of flexibility and adaptability. Therefore, an effective and efficient multicast routing mechanism, which can fulfill different requirements of different personalized services, is critical and significant. In this paper, we first define the neighbor gradient, which is calculated based on the weighted sum of attributes such as residual link capacity, normalized hop count, etc. Then two distributed multicast routing algorithms which are neighbor Gradient-based Multicast Routing for Static multicast membership (GMR-S) and neighbor Gradient-based Multicast Routing for Dynamic multicast membership (GMR-D), are proposed. GMR-S is suitable for static membership situation, while GMR-D can be used for the dynamic membership network environment. Experimental results demonstrate the effectiveness and efficiency of our proposed methods.

• 산업경영시스템학회지
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• 제47권2호
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• pp.74-83
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• 2024

The threat of North Korea's long-range firepower is recognized as a typical asymmetric threat, and South Korea is prioritizing the development of a Korean-style missile defense system to defend against it. To address this, previous research modeled North Korean long-range artillery attacks as a Markov Decision Process (MDP) and used Approximate Dynamic Programming as an algorithm for missile defense, but due to its limitations, there is an intention to apply deep reinforcement learning techniques that incorporate deep learning. In this paper, we aim to develop a missile defense system algorithm by applying a modified DQN with multi-agent-based deep reinforcement learning techniques. Through this, we have researched to ensure an efficient missile defense system can be implemented considering the style of attacks in recent wars, such as how effectively it can respond to enemy missile attacks, and have proven that the results learned through deep reinforcement learning show superior outcomes.

• Structural Engineering and Mechanics
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• 제13권6호
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• pp.653-670
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• 2002

In order to ensure the structural dynamic stability of moving liquid-storage containers, the flow motion of interior liquid should be appropriately suppressed by means of mechanical devices such as the disc-type elastic baffle. In practice, the design of a suitable baffle requires a priori the parametric dynamic characteristics of storage containers, with respect to the design parameters of baffle, such as the installation location and inner-hole size, the baffle number, and so on. In this paper, we intend to investigate the parametric effect of the baffle parameters on the transient dynamic behavior of a cylindrical fuel-storage tank in an abrupt vertical acceleration motion. For this goal, we employ the ALE (arbitrary Lagrangian-Eulerian) kinematic description method incorporated with the finite element method.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2014년도 춘계 종합학술대회 논문집
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• pp.483-484
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• 2014

• Strategy21
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• 통권42호
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• pp.83-113
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• 2017

After defeat in World War II, Japan's Peace Constitution committed the country to forego the acquisition of offensive military capabilities. However, in the midst of the post-cold war period, Japan began to change its security posture in line with the so-called 'normal state theory', which called for a more robust defense posture and expanded security activities. The second Abe administration promoted these security policies by issuing a National Security Strategy as well as a new National Defense Program Outline(NDPO) in 2013 and by establishing new security institutions such as the National Security Council. The Abe administration also adopted the new concept of a 'Unified Mobile Defense Force' in the 2013 which replaced the 'Dynamic Defense Force' as a new criteria for the Self-Defense Force's acquisition of military capabilities. In this new concept of military capabilities, the Ground Self-Defense Force is planning to replace existing divisions with mobile divisions and to form 'Amphibious Rapid Deployment Bridge' for the first time in 2018, which has long been taboo in Japan. Japan has experience a Marine Corps in the past. Likewise, an offensive changes in the military strategy can change the spectrum of strategy and 'Amphibious Rapid Deployment Bridge' plays a big role in this. Furthermore, Japan is increasing the Coast Guard's budget and capabilities in preparation for contingencies around the Senkaku islands (called the Diaoyu in Chinese). The South Korea navy should utilize Japan's changing security posture to deter immediate threat such as North Korea's military provocations and potential enemy threat such as China, Japan, Russia.

• 한국산학기술학회논문지
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• 제12권1호
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• pp.1-6
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• 2011

유한요소해석을 통한 대상 구조물의 동특성 해석에 있어서 신뢰성 높은 실제 구조물의 동특성을 정확히 예측하는 해석결과는 얼마나 신뢰성이 높은 유한요소모델을 수립하는가하는 문제와 직결된다고 할 수 있다. 따라서 많은 경험과 노력을 통해 만들어진 모델을 대상으로 모달 테스팅을 통해 관심주파수대역에 걸쳐 모델을 검증하고, 이때 얻어진 데이터를 이용, 모델을 개선하는(Model updating) 작업을 거치게 된다. 본 연구에서는 이와 같이 중량과 크기의 제한으로 인하여 충격망치나 가진기로 가진하기 어려운 함정의 고유진동수 등을 얻기 위한 모달 테스팅 방법으로써 함정의 시운전 항목 중 하나인 주포 사격시험을 이용하여 그 결과와 가능성, 향후 진행방향에 대하여 고찰해 보았다.

• 정보보호학회논문지
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• 제28권2호
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• pp.485-500
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• 2018

시스템 및 네트워크 환경의 규모가 확대되고, 네트워크 구조 및 시스템 구성이 빈번하게 변화함에 따라 네트워크 관리자가 현황을 수동으로 관리하고 실시간 변동사항을 식별하는 데에 많은 어려움이 발생하고 있다. 본 논문에서는 동적인 네트워크 정보를 실시간으로 스캔하고, 사전에 수집한 취약점 정보를 바탕으로 네트워크 내 장치의 취약성 정도를 점수화하고 최종적으로 공격자의 입장에서 공격 가능한 모든 경로를 도출하여 네트워크 관리자에게 공격 가능성이 높은 경로 목록을 제공하는 알고리즘을 제안하였다. 또한 제안하는 알고리즘을 토대로 한 Attack Graph를 실제로 구현하였으며, Software Defined Networking (SDN) 환경이 포함된 동적으로 변화하는 가상 네트워크 환경을 구축한 후 시뮬레이션을 진행하여 Moving Target Defense (MTD) 개념이 반영된 시스템에도 적용이 가능함을 입증하였다.