• Proceedings of the Korean Vacuum Society Conference
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• 2008.02a
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• pp.177-177
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• 2008

• Proceedings of the Korean Vacuum Society Conference
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• 2008.08a
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• pp.291-291
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• 2008

• The Bulletin of The Korean Astronomical Society
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• v.24 no.2
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• pp.89-89
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• 1999

• Bulletin of the Korean Space Science Society
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• 1999.09a
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• pp.81-81
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• 1999

No Abstract, See Full Text

• Bulletin of the Korean Space Science Society
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• 2000.04a
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• pp.53-53
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• 2000

No Abstract, See Full Text

• Molecules and Cells
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• v.45 no.7
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• pp.512-512
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• 2022

• Proceedings of the Optical Society of Korea Conference
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• 1995.06a
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• pp.185-189
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• 1995

A high-power Nb:glass laser system(Simmyung I) has been contructed and tested. In this system, we used a Nb:YLF laser as a master oscillator, a 4-pass amplifier for pre-amplification, 5 stages of rod amplifiers, and spatial filtering and image reaying usits. The system has demonstrated in excess of 80J(2TW) with 40 psec(FWHM) pulse duration. Output energy, gain and spatial were measured at each amplification stage. With this laser system a preliminary X-ray generation experiment was performed. Pinhole images, X-ray diode signals and X-ray speriment were obtained for the irradiated target of copper. Detailed descriptions of the system performance and the X-tay generation experiment are presented.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.709-711
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• 2004

본 논문은 3차원 상에서 사용자의 동작을 관성센서로 입력받아 제스처를 인식하는 시스템을 소개한다. 사용자가 취한 제스처 동작은 관성 센서를 통하여 각속도 및 가속도 신호열로 변환된다. 궤적 추정 알고리즘은 이를 2차원 상의 동작 궤적으로 변환한다. 인식 알고리즘은 이 동작 궤적을 입력받아 베이지안 네트웍에 기반한 제스처 모델들로부터의 likelihood를 계산한 후, 최대 likelihood를 갖는 모델을 선택하여 인식을 수행한다. 16명의 필자로부터 13개의 제스처 동작을 각 24회씩 수집하여 실험한 결과 평균 99.4%의 인식률을 얻었다.

• Nuclear Engineering and Technology
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• v.54 no.11
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• pp.4049-4061
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• 2022

TRISO-coated particle fuel is widely used in high temperature gas cooled reactors and other advanced reactors. The performance of coated fuel particle is one of the fundamental bases of reactor safety. The failure probability of coated fuel particle should be evaluated and determined through suitable fuel performance models and methods during normal and accident condition. In order to better facilitate the design of coated particle fuel, a new TRISO fuel performance code named FRAT (Fission product Release Analysis Tool) was developed. FRAT is designed to calculate internal gas pressure, mechanical stress and failure probability of a coated fuel particle. In this paper, FRAT was introduced and benchmarked against IAEA CRP-6 benchmark cases for coated particle failure analysis. FRAT's results agree well with benchmark values, showing the correctness and satisfactory applicability. This work helps to provide a foundation for the credible application of FRAT.

• Korean Journal of Remote Sensing
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• v.39 no.1
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• pp.111-127
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• 2023

In visual slam and 3D data modeling, the Iterative Closest Point method is a primary fundamental algorithm, and many technical fields have used this method. However, it relies on search methods that take a high search time. This paper solves this problem by applying an effective point cloud refinement method. And this paper also accelerates the point cloud registration process with an indexing scheme using the spatial decomposition method. Through some experiments, the results of this paper show that the proposed point cloud refinement method helped to produce better performance.