• Journal of KIISE:Computing Practices and Letters
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• v.15 no.12
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• pp.943-947
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• 2009

To support an efficient management of software verification and validation activities, many defect prediction models have been proposed based on object oriented metrics. In order to apply defect prediction models, we need to determine a threshold value. Because we cannot know actually where defects are, it is difficult to determine threshold. Therefore, we performed a series of experiments to explore the issue of determining a threshold. In the experiments, we applied defect prediction models to other systems different from the system used in building the prediction model. Specifically, we have applied three models - Olague model, Zhou model, and Gyimothy model - to four different systems. As a result, we found that the prediction capabilities varied considerably with a chosen threshold value. Therefore, we need to perform a study on the determination of an appropriate threshold value to improve the applicably of defect prediction models.

• The Journal of Korean Association of Computer Education
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• v.11 no.3
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• pp.81-89
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• 2008

The failure occurrence of resources in the grid computing is higher than in a tradition parallel computing. Since the failure of resources affects job execution fatally, fault tolerance service is essential in computational grids. And grid services are often expected to meet some minimum levels of quality of service (QoS) for desirable operation. However Globus toolkit does not provide fault tolerance service that supports fault detection service and management service and satisfies QoS requirement. Thus this paper proposes fault tolerance service to satisfy QoS requirement in computational grids. In order to provide fault tolerance service and satisfy QoS requirements, we expand the definition of failure, such as process failure, processor failure, and network failure. And we propose resource scheduling service, fault detection service and fault management service and show implement and experiment results.

• Journal of the Korean Society for Nondestructive Testing
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• v.19 no.3
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• pp.173-179
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• 1999

The defects on the metal surface. such as the ended circular pressed hole. the penetrated circular drilled hole, and the linear hollow lanes have been investigated by means of the microwave. In this experiment, frequency was set at 9.2GHz with 3kHz modulation, and the methods of reflection, transmission, fixed carrier frequency, and mod-demodulated technique have been used for investigating defects. The magnitudes of the microwave signals have been changed at the ended circular pressed hole and the penetrated circular drilled hole. The defect sizes that were estimated from the reflected microwave signals had the dimensions enlarged by twice the original size of the penetrated circular drilled hole and 2.5 times the original size of the ended circular pressed hole. The magnitudes of the reflected microwave signals from the linear hollow lane have increased with expansion of the width of the notch. In the linear hollow lane with the depth of 2.4mm, the reflected microwave signals versus the defect widths had a maximum value at the defect width of 50mm, and in the linear hollow lanes with the depths of 1.2mm and 0.45mm, the reflected microwave signals versus the defects widths had the maximum values each at the defect depths of 55mm.

• Journal of the Korean Geotechnical Society
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• v.16 no.3
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• pp.131-144
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• 2000

본 연구는 비검측공 시험법으로서 널리 사용되고 있는 충격반향기법(impact-echo test)의 적용서을 수치해석 및 실내 실험을 통하여 분석해 보았다. 즉, 결함이 없는 말뚝과 결함이 있는 말뚝에 대하여 1차원 및 2차원 축대칭 유한요소해석을 실시하였으며, 또한 모노캐스트라고 하는 일종의 플라스틱 원형 봉의 말뚝에 축대창 공극, 비축대칭 공극, 병목부 및 단면 확대부와 같은 결함을 각각 크기와 깊이를 변화시켜 제작한 후 공기 중과 지반 내부에서 충격반향기법 실험을 수행하였다. 실험결과 충격반향기법의 말뚝 결함 탐지능력은 수치해석에서 얻은 결과와 함께 결함의 크기와 위치에 영향을 받는 것으로 나타났으며 결함의 크기가 커질수록 탐지의 정확도가 향상되는 것을 알 수 있었다. 결함의 상대면적이 말뚝 단면적의 50% 이상이면 충격반향기법에 의하여 결함의 위치를 파악할 수 있는 것으로 나타났으며, 공기 중 보다 지반에 근입 된 말뚝의 경우가 더욱 명확한 신호를 제공해주는 것으로 나타났다. 그리고 시간영역의 신호가 주파수 영역의 신호 보다 말뚝의 결함 크기에 더 민감히 반응하므로 주파수 영역에서 탐지할 수 없는 작은 크기의 결함을 시간 영역에서는 탐지할 수 있는 것으로 나타났다.

• The Journal of the Petrological Society of Korea
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• v.13 no.3
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• pp.133-141
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• 2004

We have studied the characteristics of rock cleavage for the Pocheon granite with Jurassic emplacement age. Photomicrographs were used to observe and analyze microcracks from the granite. Three sets of microcrack planes are recognized; (1) the rift plane developed parallel to the principal sets of microcracks, (2) the grain plane parallel to the secondary sets of microcracks, (3) the hardway plane perpendicular to both rift and grain planes. The microcracks developed in the granite shows higher polution, mean length and density in the order of rift plane, grain plane and hardway plane. The fracturing characteristics of the granite are closely related to the development of these three planes.

• 한국신재생에너지학회:학술대회논문집
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• 2011.05a
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• pp.103.1-103.1
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• 2011

실리콘 이종접합 태양전지에서 계면 결함 밀도는 효율을 결정하는데 가장 중요한 요인으로 작용한다. 계면 결함은 캐리어의 재결합 위치로 작용하여, 계면 결함 밀도가 증가하면 재결합 속도가 증가하게 된다. 흡수층으로 사용되는 실리콘 웨이퍼 (결정질 실리콘)를 가능한 깨끗하게 세정함으로써, 또한 emitter로 쓰이는 비정질 실리콘을 낮은 데미지로 증착하여 계면 결함 밀도를 감소 시킬 수 있다. 이러한 계면 결함 밀도의 감소가 어떠한 변화로 인해 태양전지 특성에 영향을 주는지 시물레이션을 통해 알아보았다. n-type 웨이퍼에 p-type 비정질 실리콘을 emitter로 하여 TCO/p/i/n-type wafer/i/n/TCO/metal의 구조를 적용했고, wafer 전면과 i로 쓰인 무첨가된 비정질 실리콘 간의 계면 결함 밀도를 변수로 적용했다. 그 결과, 계면 결함 밀도가 감소함에 따라 재결합이 감소하여 태양전지 특성이 증가하는 측면도 있지만, 흡수층의 장벽 (barrier height)이 높아져 재결합을 더욱 감소시킴으로 인해 태양전지 특성이 증가함을 알 수 있었다.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.02a
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• pp.371-371
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• 2013

사파이어 단결정 웨이퍼는 제조과정에서 결정 성장 조건 및 기계적 연마에 의하여 내부적인 결함이 발생할 수 있다. 사파이어 단결정은 일반적으로 LED용 기판 재료로 사용되며, 내부결함이 발생 시 기판 위의 GaN 등 layer의 결함도 함께 증가하므로 기판의 결함을 줄이는 과정이 중요한 이슈이다. 이 과정에 X-선 토포그래피는 단결정의 내부 결함을 모니터링 하는데 있어서 매우 유용한 방법이다. 이에 본 연구에서는 사파이어 단결정 웨이퍼에 내재하는 결함 형태를 X-선 Lang 토포그래피 방법(X-ray Lang Topography)으로 이미징하여 관찰, 분석하였다. Lang 토포그래피 방법은 X-선 투과법으로 넓은 부분을 우수한 강도와 분해능으로 내부 결함을 관찰할 수 있는 장점을 지니고 있다. X-선 source는 Mo $k{\alpha}$ 1을 사용하였으며, 시료는 c-plane 사파이어 웨이퍼를 사용하였다. 사파이어 웨이퍼의 (110), (102) 회절면의 X-선 토포그래피 이미지를 통해 전위 결함의 유형에 따른 이미지 패턴의 형성 메커니즘에 대해 연구하였고, 측정 회절면과 두께, 표면 데미지에 따른 전위 결함 이미지의 변화를 확인하였다. X-선 토포그래피 이미지를 통해 단결정 c-plane 사파이어 웨이퍼의 전위 결함의 형성 메카니즘 연구와 유형별 이미지와 회절면, 두께, 표면 데미지에 따른 이미지 변화 등을 확인하였다.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.43 no.8 s.350
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• pp.1-5
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• 2006

At-wavelength inspection system of extreme Ultra-violet lithography was developed and the inspection results were compared with the optical mask inspection system by cross correlation experiments. In at-wavelength EUV mask inspection system, a raster scan of focused euv light is used to illuminate euv light to mask blank and specularly and non-specularly reflected euv light are detected by photo diode and microchannel plate. The cross correlation results between at-wavelength inspection tool and optical inspection tool shows strong correlation. Far-field scattering fringe pattern from programmed phase and opqque defect, which were detected by phosphor plate and CCD camera shows that distinct diffraction fringes were observed with fringe spacing dependent on the defect size.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.4
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• pp.123-130
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• 2014

In TFT-LCD panel images, defects are typically detected by using a large difference in the brightness compared to the background. In this paper, we propose a sequential defect detection algorithm according to defect possibility caused by difference of brightness. By using this method, pixels with high defect probabilities are preferentially detected and defects with a large brightness difference are accurately detected. Also, limited defects with a small brightness difference is detected more reliably, eventually minimizing the degree of over-detection. We have experimentally confirmed that our proposed method showed an excellent detection result for detecting limited defects as well as defects with a large brightness difference.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.2
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• pp.153-159
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• 2009

The steel balls are core elements between inner part and outer part in a bearing system. The degree of goodness of the steel balls has been visually processed by human beings. In this paper we propose a new method that uses image processing algorithm and fuzzy logic theory. We use fuzzy inference engine and fuzzy Choquet integral algorithm in the proposed system. We first distinguish the defects of the steel balls by an image processing algorithm. And then the degree of the defects is classified by a fuzzy logic system. We perform some simulations to show the effectiveness and feasibility of the proposed system.