• Journal of Information Technology Applications and Management
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• v.15 no.4
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• pp.21-36
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• 2008

As the great disturbance from abusing credit cards in Korea becomes stabilized, credit card companies need to interpret credit-card delinquents classification models from the viewpoint of profit. However, hit ratio which has been used as a measure of goodness of classification models just tells us how much correctly they classified rather than how much profits can be obtained as a result of using classification models. In this research, we tried to develop a new utility-based measure from the viewpoint of profit and then used this new measure to analyze two classification models(Neural Networks and Decision Tree models). We found that the hit ratio of neural model is higher than that of decision tree model, but the utility value of decision tree model is higher than that of neural model. This experiment shows the importance of utility based measure for credit-card delinquents classification models. We expect this new measure will contribute to increasing profits of credit card companies.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.18 no.1
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• pp.51-57
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• 2010

This study was to analyze the difference in pilot error by using the Signal Detection Theory. The task was to detect the targeted aircraft(signal) which is different shape from many other aircraft(noise). From the two experiments, we differentiated the task difficulty followed by change in noise stimuli. Experiment 1 was to search the signal stimuli(fighter plane) while the noise stimuli(cargo plane) were increasing. The results from the Experiment 1 showed the tendency to decrease the hit rate by increasing the number of noise stimuli. However, the false alarm rate was not increased. The sensitivity(d') showed quite high. In Experiment 2, a disturbance stimulus(helicopter) was added to noise stimuli. The result was generally similar to those of Experiment 1. However, the hit rate was lower than that of Experiment 1.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10c
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• pp.346-348
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• 2000

전통적일 파일 캐쉬나 가상 메모리 시스템과 웹 캐쉬는 다르다. 웹 캐쉬는 WWW상에서 작게는 수백 바이트에서 크게는 수십 메가바이트에 이르는 다양한 크기의 개체를 다루어야 한다. 다양한 크기의 개체를 다루는데 따른 문제점은 캐쉬 성능을 판단하는 매트릭스가 단순한 hit rate가 아니라는 것이다. 기본적인 웹 캐쉬의 성능 매트릭스로는 HR(cache hit rate)와 BHR(byte cache hit rate)가 있으며, 기존에 제시된 캐쉬 정책들은 두 가지 중 하나만을 만족하거나 아니면 어느 것도 만족하지 않는 경우가 대부분이다. 트레이스 드리븐 방식을 이용한 시뮬레이션을 통하여, 기존에 우수성이 입증된 캐쉬 대체 정책과 우리가 제시한 TYPE 대체 정책을 HR과 BHR을 기준으로 비교한다. 우리가 제시한, 파일 타입에 대해 동적으로 할당된 캐쉬 공간을 갖는 캐쉬 대체기법은 각각의 두 성능 매트릭스에 대해서 골고루 우수한 성능을 보였다.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2010.06a
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• pp.232-232
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• 2010

Simulation Program (AFORS-HET 2.4.1) was used, include the basic structure of crystalline silicon thin film as above, under the intrinsic a-Si:H films bonded symmetrical structure (Symmetrical structure) were used. The structure of ITO, a-Si p-type, intrinsic a-Si, c-Si, intrinsic a-Si, a-Si n-type, metal (Al) layer has one of the seven. When thickness for each layer was given the change, the changes of a-Si p-type layer and the intrinsic a-Si layer on top had an impact on efficiency. Efficiency ratio of p-type a-Si:H layer thickness was sensitive to, especially a-Si: H layer thickness is increased in a rapid decrease in Jsc and FF, and efficiency was also decreased.

• Journal of Institute of Control, Robotics and Systems
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• v.4 no.4
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• pp.499-505
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• 1998

In developing an automated surface inspect algorithm, we have designed a hierarchical classifier using neural network. The defects which exist on the surface of cold mill strip have a scattering or singular distribution. We have considered three major problems, that is preprocessing, feature extraction and defect classification. In preprocessing, Top-hit transform, adaptive thresholding, thinning and noise rejection are used Especially, Top-hit transform using local minimax operation diminishes the effect of bad lighting. In feature extraction, geometric, moment, co-occurrence matrix, and histogram ratio features are calculated. The histogram ratio feature is taken from the gray-level image. For defect classification, we suggest a hierarchical structure of which nodes are multilayer neural network classifiers. The proposed algorithm reduced error rate by comparing to one-stage structure.

• Proceeding of EDISON Challenge
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• 2015.03a
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• pp.382-387
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• 2015

태양전지의 시장 경쟁력을 위해선 발전단가가 낮아야 하기 때문에, 현재까지도 더 높은 효율의 태양전지가 요구되고 있다. 따라서 본 연구에서는 더 높은 효율의 태양전지를 설계하기 위하여 광학적인 시뮬레이션을 이용하여 HIT 태양전지 구조에서 흡수가 큰 태양전지의 구조를 예측하였고, 이러한 구조에 대해서 EDISON 나노물리에서 지원하는 "태양전지 해석용 SW"를 사용하여 효율을 계산하였다. 소프트웨어를 통한 계산 결과 태양전지에 의한 흡수가 클수록 이는 직접적으로 전류밀도의 향상으로 나타났고, 따라서 효율이 증가하였다. 이러한 광학적인 예측을 통하여 $105.8W/m^2$의 효율을 가지는 태양전지를 디자인 함으로써, 기존 HIT 태양전지의 효율인 $56.62W/m^2$ 보다 약 1.868배 향상된 태양전지를 구현하였다.

• Journal of the military operations research society of Korea
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• v.25 no.1
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• pp.160-168
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• 1999

This research focussed on developing a hit probability model for polygonal target to increase the survivability of weapon systems by its shape design. First, we defined the delivery errors and derived functions for these errors based on the assumption of bivariate normal distribution, and the derived functions for probability of shot hitting of various shapes of polygonal target. Also, we developed computer program for computation of the probability of hitting a general n-sided polygon and we have shown a sample run output. The model could be used to improve the survivability from design phase by designing optimal polygonal shape of weapon system.

• Current Photovoltaic Research
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• v.3 no.4
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• pp.107-111
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• 2015

Current characteristic curve of an illuminated solar cell was used to determine its reverse saturation current density ($J_0$), ideality factor (n) and resistances, by using numerical diode simulation. High efficiency amorphous silicon, heterojunction crystalline Si (HIT), plastic and organic-inorganic halide perovskite solar cell shows n=3.27 for a-Si and n=2.14 for improved HIT cell as high and low n respectively, while the perovskite and plastic cells show n=2.56 and 2.57 respectively. The $J_0$ of these cells remain within $7.1{\times}10^{-7}$ and $1.79{\times}10^{-8}A/cm^2$ for poorer HIT and improved perovskite solar cell respectively.

• Journal of the Korea Society of Computer and Information
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• v.20 no.8
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• pp.1-6
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• 2015

The MapReduce Program of Hadoop Distributed File System operates on any unspecified nodes due to distributed-parallel process and block replicate for data stability. Since it is difficult to guarantee the cache locality when a Solid State Drive is used as a cache in hadoop, cache hit-rate is decreased. In this paper, we suggest a method to improve cache hit rate by pre-loading the input data of the MapReduce onto the SSD cache. To perform this method, we estimated the blocks that are used on each node by using capacity scheduler and block metadata. Eventually we could increase the performance of SSD cache by loading the blocks onto SSD cache before the Map Task run.

• KDI Journal of Economic Policy
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• v.43 no.2
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• pp.23-51
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• 2021

The persistence of the employment shock by COVID-19 has various policy implications during the pandemic and beyond it. After evaluating the impact of the health crisis at the individual level, this study decomposes employment losses into persistent and transitory components using the observed timing of the three major outbreaks and subsequent lulls. The estimation results show that while face-to-face services were undoubtedly hit hard by the COVID-19 crisis, the sectoral shock was less persistent for temporary jobs and self-employment. Permanent jobs in the hard-hit sector showed increasingly large persistent losses through the recurring crises, indicating gradual changes in employer responses. The persistent job losses were concentrated on young and older workers in career transitions, whose losses are likely to have long-term effects. These results suggest that targeted measures to mitigate the persistent effects of the employment shock should take priority during the recovery process.