• 시스템엔지니어링워크숍
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• s.6
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• pp.121-125
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• 2005

전차탄의 철갑기술과 전차의 방호기술의 경쟁적인 연구개발로 성능이 지속적으로 발전되면서 전차방호면에서는 피탄되기전에 탄을 인식하여 파괴하는 능동파괴장치로,대전차 기술면에서는 취약한 전차의 상부를 발사후 망각개념의 지능탄으로 타격하는 기술로 발전되고 있다. 본 논문에서는 군사선진국들이 개발중인 전차포 지능찬의 특성을 조사하고 새로운 체계모델을 설정하여 비교상쇄연구를 수행하였으며, 향후 무기체계로의 가용성을 분석하였다.

• Korean Journal of Comparative Education
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• v.23 no.5
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• pp.1-18
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• 2013

Self-theories regarding general intelligence and English ability were measured from two countries (Korea and Pakistan) and their relationships with self-reported overall academic achievement and English language achievement were examined. No significant mean differences between the two countries were found regarding college students' self-theories. There were significant mean differences in overall academic achievement and English achievement between the two countries. Both the overall academic achievement and English achievement were significantly correlated with various self-theories while taking both samples together. Achievement measures were predicted by self-theories of general intelligence and English language ability. The current study highlighted the relationship between self-theories about general intelligence and English language ability and their relationship with self-reported achievement in two cultural contexts. This research also introduced new instruments to measure self-theories that can be used in studying self-theories in different domains.

• Journal of the KSME
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• v.50 no.4
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• pp.32-35
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• 2010

이 글에서는 각종 탄두 개발에 적용하교 있는 전산모사에 대하여 단계별로 간단히 정리하였으며, 향후 정밀 지능탄 개발에 요구되는 CAE에 대하여 기술하였다.

• Journal of the Korean Society of Systems Engineering
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• v.2 no.1
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• pp.42-47
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• 2006

Advanced military nations have developed anti-tank smart munitions to maximize the effectiveness of the tank combat. In this paper we introduced new munition models (KSTAM) for arrack on the top of the tank and analyzed those operation research. To understand the adaptation to the future tank munition we have performed a trade-off study using the proposed models for smart tank munitions which have been developed or are being developed in advanced nations.

• Journal of the Korea Institute of Military Science and Technology
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• v.3 no.2
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• pp.61-70
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• 2000

An Adaptive Positive Position Feedback method is presented for controlling the roll of the supersonic smart projectile. The proposed strategy combines the attractive attributes of Positive Position Feedback(PPF) of Goh and Caughey, and Lyapunov stability theorem. The parameters of Adaptive-PFF controller are adjusted in an adaptive mauler in order to follow the performance of an optimal reference model. In this way, optimal damping and zero steady-state errors can be achieved even in the presence of uncertain or changing plant parameters. The performance obtained with the Adaptive-PPF algorithm is compared with conventional PPF control algorithm. The results obtained emphasize the potential of Adaptive-PPF algorithm as an efficient means for controlling plants such as supersonic flight systems with uncertainties in real time.

• Journal of the Korea Institute of Military Science and Technology
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• v.15 no.4
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• pp.458-466
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• 2012

We have developed a weapon effectiveness evaluation model for top-attack smart munitions(WEEM/TASM), which is a many on many Monte Carlo Model evaluating the effectiveness of top-attack smart munitions against armoured ground vehicles. In this model the battle is reduced to a one-sided battle situation in that the target vehicles are regarded as being stationary and passive. It can simulate the whole attack process of smart munitions from firing artillery dispenser to sensing and hitting processes after dispense. It can also calculate the probability of kill of each target and the numbers of rounds required to fulfill the degree of damage in statistical manners. In this paper, we describe the basis for our design concepts reflected in the model to simulate the weapon effectiveness of top-attack smart munitions and provide simulation results for an example case.

• Digital Contents
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• no.5 s.84
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• pp.98-101
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• 2000

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.288-291
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• 2022

본 논문은 4족 지능 로봇의 비평탄 지형 극복 기능을 구현하기 위해, 시뮬레이션 환경에서 제공하는 역기구학(Inverse Kinematic)과 개선된 강화 학습 방법(Partially Observable Markov Decision Process)을 분석하여 수립한 알고리즘을 동작 검증을 위한 임베디드 보드(Embedded Board)에 실제 적용하여 보았다. 이 연구를 통해 4족 보행 로봇의 효율적인 지형 극복형 보행 방식 설계 방법을 제안하며, 특히 IMU 센서의 지능적인 균형제어 방법을 평가하고 다양한 통신방식과 서보모터 제어 방식을 실험하고 구현하였다. 또한 모터 가감속 제어를 통해 보다 부드럽고 안정적인 보행을 구현한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.1
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• pp.42-48
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• 2011

This paper presents the vibration reduction algorithm at the walking-will recognition sensors on the uneven terrain. Recently, concern about walking assistant aids is increasing according to the increase in population of elder and handicapped person. However, most of walking aids don't have any actuators for its movement. So, general walking aids have weakness for its movement to upward/download direction of slope. To overcome the weakness of the general walking aids, many researches for active type walking aids are being progressed. Especially, vibration analysis and impulse reduction are one of the important elements of the active-type walking aid during moving on the outdoor area because the ground has many kinds of obstacles such as speed dumps, puddles and so on. So, we analyze the influence from vibration by uneven terrain. And then, we propose the impulse reduction algorithm to overcome the vibration. All the processes are verified experimentally in an active-type walking aid.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.294-297
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• 2022

본 논문에서는 비평탄 지형 보행이 가능한 이동형 로봇의 설계 최종 목적에 최적화된 12자유도 소형 4족 로봇의 하드웨어를 설계하였으며, 비평탄 지형을 극복하기 위한 지능적인 보행을 설계하고 그에 따른 각 관절별 모터들의 용량을 분석하고 시뮬레이션을 통해 최적의 파라미터값들을 도출한다