• Journal of the Korean Society for Nondestructive Testing
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• v.31 no.2
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• pp.139-143
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• 2011

The problem of delamination of composite tubes by impact has been acknowledged in aerospace and automobile industry. Non-destructive testing(NDT) methods in composite material structure are important to evaluate reliability of composite structure. There are many kinds of NDT methods which can detect the inside defect of the composite material such as Infrared Thermography(IRT). Infrared thermal imaging of object is different from that of a defect, in heated composite tubes with an internal defect, and then location and size of a defect can be measured by the analysis of thermal imaging pattern. In this study, Lock-in Infrared thermography detect internal defects of Impacted composite tubes by the inspection of infrared lay radiated from the surface of composite tubes.

• The Korean Journal of Applied Statistics
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• v.21 no.5
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• pp.813-823
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• 2008

The non-homogeneous Poisson process(NHPP) based software reliability growth models are proved quite successful in practical software reliability engineering. The fault detection rate is usually assumed to be the continuous and monotonic function. However, the fault detection rate can be affected by many factors such as the testing strategy, running environment and resource allocation. This paper describes a parameter estimation of software reliability growth model with change-point problem. We obtain the maximum likelihood estimate(MLE) and least square estimate(LSE), and compare goodness-of-fit.

• Proceedings of the Korean Vacuum Society Conference
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• 2014.02a
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• pp.329.2-329.2
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• 2014

지난 수년간 태양전지의 광전변환효율을 높이기 위해 자가 조립된 InAs 또는 GaSb와 같은 양자점을 GaAs 단일 p-n 접합에 적용하는 연구를 개발해 왔다. 그러나 양자점의 흡수 단면적에 의한 광 흡수도는 양자점층을 수십 층을 쌓으면 증가하지만 활성층에 결함을 생성시킨다. 생성된 결함은 운반자트랩으로 작용하여 태양전지의 광전변환효율을 감소시킨다. 본 실험에서는 양자점이 적용된 태양전지와 적용되지 않은 태양전지의 광전변환 효율을 비교하고, 깊은준위 과도용량 분광법을 이용하여 결함상태를 측정 및 비교함으로써, 활성층 내부에 생성된 결함이 광전변환 효율에 미치는 영향을 분석하였다. 소자구조는 분자선 증착 방법을 이용하여, 먼저 n+-형 GaAs기판위에 n+-형 GaAs를 250 nm 증착한 후, 도핑이 되지 않은 GaAs활성층을 $1{\mu}m$ 두께로 증착하였다. 마지막으로 n+ 와 p+-형 GaAs를 각각 50, 750 nm 증착함으로써 p-i-n구조를형성하였다. 여기서, n+-형 GaAs 과 p+-형 GaAs의 도핑농도는 동일하게 $5{\times}1018cm-3$로 하였다. 또한 양자점을 태양전지 활성층에 20층을 형성하였다. 이때 p-i-n 태양전지 와 양자점 태양전지의 광전변환 효율은 각각 5.54, 4.22 % 를 나타내었다. p-i-n 태양전지의 개방 전압과 단락전류는 847 mV, 8,81 mA이며 양자점 태양전지는 847 mV, 6.62mA로 확인되었다. 태양전지의 전기적 특성을 측정하기 위해 소자구조 위에 Au(300nm)/Pt(30nm)/Ti(30nm)의 전극을 전자빔증착장치로 증착하였으며, 메사에칭으로 직경 $300{\mu}m$의 태양전지 구조를 제작하였다. 정전용량-전압 특성 및 깊은준위 과도용량 분광법을 이용하여 태양전지의 결함분석 및 이에 따른 광전변환 특성인자와의 상관관계를 논의할 것이다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.4
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• pp.3-10
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• 2007

In this paper, we proposed the methodology for security testing using block-based file fault injection. When fault is inserted into software, we consider the format of file in order to efficiently reduce the error that is caused by mismatch of format of file. The Vulnerability the methodology focuses on is related to memory processing, such as buffer overflow, null pointer reference and so on. We implemented the automatic tool to apply the methodology to image file format and named the tool ImageDigger. We executed fault-injection focused on WMF and EMF file format using ImageDigger, and found 10 DOS(Denial of Service) in Windows Platform. This methodology can apply to block-based file format such as MS Office file.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.2
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• pp.267-275
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• 2023

As aged infrastructures have been increased, the importance of accurate maintenance costs and proper budget allocation for infrastructure become prominent under limited resources. This study proposed a mapping algorithm between representative defects, repair methods, and the estimated maintenance costs for concrete bridges. In this regard, using BMS (Bridge Management System) data analysis, bridge repair methods were classified and matched with defects according to their locations, types, and sizes. In addition, the maintenance costs were estimated based on the amount of work-load and quantity per unit using CSPR (Cost Standard Production Rate). As a result, the level of accuracy was an average of 85.1 % compared with the actual bill of quantity for Seoul bridge maintenance. The accuracy of maintenance costs is expected to be enhanced by considering the various site conditions such as pier height, extra charge conditions, additional equipment, etc.

• Journal of the Korean Society for Nondestructive Testing
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• v.24 no.3
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• pp.275-281
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• 2004

Socket weldment used to change the flow direction of fluid nay have flaws such as lack of fusion and cracks. Liquid penetrant testing or Radiography testing have been applied as NDT methods for flaw detection of the socket weldment. But it is difficult to detect the flaw inside of the socket weldment with these methods. In order to inspect the flaws inside the socket weldment, a ultrasonic testing method is established and a ultrasonic transducer and automated ultrasonic testing system are developed for the inspection. The automated ultrasonic testing system is based on the portable personal computer and operated by the program based Windows 98 or 2000. The system has a pulser/receiver, 100MHz high speed A/D board, and basic functions of ultrasonic flaw detector using the program. For the automated testing, motion controller board of ISA interface type is developed to control the 4-axis scanner and a real time iC-scan image of the automated testing is displayed on the monitor. A flaws with the size of less than 1mm in depth are evaluated smaller than its actual site in the testing, but the flaws larger than 1mm appear larger than its actual size on the contrary. This tendency is shown to be increasing as the flaw size increases. h reliable and objective testing results are obtained with the developed system, so that it is expected that it can contribute to safety management and detection of repair position of pipe lines of nuclear power plants and chemical plants.

• Proceedings of the Korean Vacuum Society Conference
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• 2010.08a
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• pp.143-144
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• 2010

3-5족 화합물 반도체를 이용한 집광형 삼중 접합 태양전지는 40% 이상의 광변환 효율로 많은 주목을 받고 있다[1]. 삼중 접합 태양전지의 하부 셀은 기계적 강도가 높고 장파장을 흡수할 수 있는 Ge이 사용된다. Ge위에 성장될 III-V족 단결정막으로서 Ge과 격자상수가 일치하는 GaInP나 GaAs가 적합하고, 성장 중 V족 원소의 열확산으로 인해 Ge과 pn접합을 형성하게 된다. 이때 GaInP의 P의 경우 GaAs의 As보다 확산계수가 낮아 태양전지 변환효율향상에 유리한 얇은 접합 형성이 가능하고, 표면 에칭효과가 적기 때문에 GaInP를 단결정막으로 선택하여 p-type Ge기판 위 성장으로 단일접합 Ge구조 제작이 가능하다. 하지만 이종접합 구조 성장으로 인해 발생한 계면사이의 전위나 미세결함들이 결정막내부에 존재하게 되며 이러한 결함들은 광학소자 응용 시 비발광 센터로 작용할 뿐 아니라 소자의 누설전류를 증가시키는 원인으로 작용하여 태양전지 변환효율을 감소시키게 된다. 이에 결함감소를 통해 소자의 전기적 특성을 향상시키고자 수소 열처리나 플라즈마 공정을 통해 수소 원자를 박막내부로 확산시키고, 계면이나 박막 내 결함들과 결합시킴으로서 결함들의 비활성화를 유도하는 연구가 많이 진행되어 왔다 [2][3]. 하지만, 격자불일치를 갖는 GaInP/Ge 구조에 대한 수소 열처리 및 불순물 준위의 거동에 대한 연구는 많이 진행되어 있지 않다. 따라서 본 연구에서는 Ga0.45In0.55P/Ge구조에 수소 열처리 공정을 적용을 통하여 단결정막 내부 및 계면에서의 결함밀도를 제어하고 이를 통해 태양 전지의 변환효율을 향상시키고자 한다. <111> 방향으로 $6^{\circ}C$기울어진 p-type Ge(100) 기판 위에 유기금속화학증착법 (MOCVD)을 통해 Si이 도핑된 200 nm의 n-type GaInP층을 성장하여 Ge과 단일접합 n-p 구조를 제작하였다. 제작된 GaInP/Ge구조를 furnace에서 250도에서 90~150분간 시간변화를 주어 수소열처리 공정을 진행하였다. 저온 photoluminescence를 통해 GaInP층의 광학적 특성 변화를 관찰한 결과, 1.872 eV에서 free-exciton peak과 1.761 eV에서 Si 도펀트 saturation에 의해 발생된 D-A (Donor to Acceptor)천이로 판단되는 peak을 검출할 수 있었다. 수소 열처리 시간이 증가함에 따라 free-exciton peak 세기 증가와 반가폭 감소를 확인하였고, D-A peak이 사라지는 것을 관찰할 수 있었다. 이러한 결과는 수소 열처리에 따른 단결정막 내부의 수소원자들이 얕은 불순물(shallow impurity) 들로 작용하는 도펀트들이나, 깊은 준위결함(deep level defect)으로 작용하는 계면근처의 전위, 미세결함들과의 결합으로 결함 비활성화를 야기해 발광세기와 결정질 향상효과를 보인 것으로 판단된다. 본 발표에서는 상술한 결과를 바탕으로 한 수소 열처리를 통한 박막 및 계면에서의 결함준위의 거동에 대한 광분석 결과가 논의될 것이다.

• Journal of the Korean Geotechnical Society
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• v.36 no.5
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• pp.25-34
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• 2020

Studies on nondestructive evaluation methods using electromagnetic waves have been commonly conducted to evaluate necking defects in bored piles. However, the propagation of electromagnetic waves are affected by water contents of surrounding materials. This study aims to investigate a suitability of electromagnetic waves for evaluating necking defects in bored piles embedded in sandy soils through laboratory experiments. Laboratory experiments are performed with a model pile having a necking defect. The diameter and length of model pile are 600 mm and 1 m, respectively, and the model pile is embedded in sandy soils with different water contents of 10%, 20%, and 30%. For the propagation of electromagnetic waves, a transmission line is configured in reinforcement cage using an electrical wire. The generation and detection of electromagnetic waves are conducted using a time domain reflectometer. Experimental results show that the peak amplitude of electromagnetic waves reflected at the necking defect decreases with an increase in the water content in sandy soils. In addition, the velocity of electromagnetic waves reflected from the toe of the model pile decreases win an increase in the water content. However, estimated locations of the necking defects are almost the same to that of the actual location of the necking defect. This study demonstrates that electromagnetic waves may be an effective method for evaluating necking defects in bored piles embedded in sandy soils

• The Journal of the Korea Contents Association
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• v.16 no.7
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• pp.689-699
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• 2016

As the demand for LCD increases, the importance of inspection equipment for improving the efficiency of LCD production is continuously emphasized. The pattern inspection apparatus is one that detects minute defects of pattern quickly using optical equipment such as line scan camera. This pattern inspection apparatus makes a decision on whether a pixel is a defect or not using a single threshold value in order to meet constraint of real time inspection. However, a method that uses an adaptive thresholding scheme with different threshold values according to characteristics of each region in a pattern can greatly improve the performance of defect detection. To apply this adaptive thresholding scheme it has to be known that a certain pixel to be inspected belongs to which region. Therefore, this paper proposes a region matching algorithm that recognizes the region of each pixel to be inspected. The proposed algorithm is based on the pattern matching scheme with the consideration of real time constraint of machine vision and implemented through GPGPU in order to be applied to a practical system. Simulation results show that the proposed method not only satisfies the requirement for processing time of practical system but also improves the performance of defect detection.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.6
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• pp.205-220
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• 2018

Software defect prediction is helpful for allocating valuable project resources effectively for software quality assurance activities thanks to focusing on the identified fault-prone modules. If historical data collected within a company is sufficient, a Within-Project Defect Prediction (WPDP) can be utilized for accurate fault-prone module prediction. In case a company does not maintain historical data, it may be helpful to build a classifier towards predicting comprehensible fault prediction based on Cross-Project Defect Prediction (CPDP). Since CPDP employs different project data collected from other organization to build a classifier, the main obstacle to build an accurate classifier is that distributions between source and target projects are not similar. To address the problem, because it is crucial to identify effective similarity measure techniques to obtain high performance for CPDP, In this paper, we aim to identify them. We compare various similarity measure techniques. The effectiveness of similarity weights calculated by those similarity measure techniques are evaluated. The results are verified using the statistical significance test and the effect size test. The results show k-Nearest Neighbor (k-NN), LOcal Correlation Integral (LOCI), and Range methods are the top three performers. The experimental results show that predictive performances using the three methods are comparable to those of WPDP.