• Journal of Digital Convergence
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• v.15 no.10
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• pp.193-199
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• 2017

The objective of this research is to investigate how consumers react differently to financial and social risk/return, referred to as an 'asymmetric effect'. A lab-based experiment using a counterfeit but real-branded product examined the robustness of the statement that priming the interdependent versus independent self can result in differences in financial and social risk taking behavior in the context of counterfeit product purchase choice. Three hundred fifty-eight participants took part in the experiment. They were primed with different self-construal and evaluated purchase intention to the counterfeit product. As predicted, when evaluate in the context of loss claim of counterfeit product, risks were more activated, however, there was an asymmetric effect that self-construal priming had on financial and social risks. Interdependence primed participants were more likely to take a financial risk thus perform more purchase intention of counterfeit product and less likely to take a social risk than their independence primed counterparts, which led to lower purchase intention. The results of this research shed light on the various directions of future studies on the responses toward counterfeit product.

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.372-380
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• 2010

Generally, data mining is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to increase revenue, cuts costs, or both. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. Data mining is one of the fastest growing field in the computer industry. Because of According to computer technology has been improving, Massive customer data has stored in database. Using this massive data, decision maker can extract the useful information to make a valuable plan with data mining. Data mining offers service providers great opportunities to get closer to customer. Data mining doesn't always require the latest technology, but it does require a magic eye that looks beyond the obvious to find and use the hidden knowledge to drive marketing strategies. Automotive market face an explosion of data arising from customer but a rate of increasing customer is getting lower. therefore, we need to determine which customer are profitable clients whom you wish to hold. This paper builds model of customer loyalty detection and analyzes customer buying patterns in automotive market with data mining using decision tree as a quinlan C4.5 and basic statics methods.

• Proceedings of the Korean Vacuum Society Conference
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• 1999.07a
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• pp.209-209
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• 1999

현재 magnetron sputter는 반도체, LCD 등을 포함하는 microelectronics 산업에서 박막형성을 위한 주요 장비로 널리 쓰이고 있으며, 소자의 고집적화 및 대형화 추세에 따라 그 이용가치는 더욱 증대되고 있다. 본 연구엣는 TFT-LCD용 Color Filter 제조시 ITO박막형성을 위해 사용하는 magnetron sputter 내부의 플라즈마 분포 및 ion kinetic energy에 대한 해석을 실시하였으며, ITO target의 erosion 형상의 원인을 실험결과와 비교하였다. Magnetron sputtering은 target에 가해지는 bias 전압(DC 혹은 RF)에 의해 target과 shield 혹은 target과 substrate 사이에서 생성될 수 잇는 플라즈마를 target 및 부분에 붙어있는 영구자석을 이용하여 target 근처에 집중시키고, target 표면과 플라즈마 사이의 전위차에 의해 가속된 이온들이 target 표면과 충돌하여 이차 전자방출을 일으킴과 동시에 target 표면에서 sputtering을 일으키고, 이들 sputtered 된 중성의 atom 들이 substrate로 날아가 박막을 형성하는 원리로 작동된다. 이때 target에서 방출되는 이차전자들은 영구자석에 의한 자기장 효과에 의해 target 근처에 갇히게 되어 중성 기체분자들과 이온화반응을 통해 플라즈마를 유지하고 그 밀도를 높혀주는 역할을 담당하게 된다. 즉 낮은 압력 및 bias 전압에서도 플라즈마 밀도를 높일수 있고 sputtering 공정이 가능한 장점을 가지고 있다. Magnetron sputtering 현상에 대한 시뮬레이션은 크게 magnetron discharge와 sputtering에 대한 해석 두가지로 나누어 볼 수 있는데, sputtering 현상 자체를 수치묘사할 수 있는 정량적인 모델은 아직까지 명확하게 정립되어 있지 않다. 따라서 본 연구에서는 magnetron plasma 자체에 대한 수치해석에 주안점을 두고 아울러 bulk plasma 영역에서 target으로 입사하는 이온들의 입사에너지 및 입사각도 등을 Monte Carlo 방법으로 추적하여 sputtering 현상을 유추해보았다. Sputtering 현상을 살펴보기 위해 magnetron sputter 내 플라즈마 밀도, 전자온도, 특히 target 및 substrate를 충돌하는 이온의 입사에너지 및 입사각 분포등을 계산하는데 hybrid 방법으로 시뮬레이션을 하였다. 즉 ion과 bulk electron에 대해서는 fluid 방식으로 접근하고, 이차전자 운동과 그로 인한 반응관계 및 target으로 입사하는 이온의 에너지와 입사각 분포는 Monte-Carlo 방법으로 처리하였다. 정지기장해석의 경우 상용 S/W인 Vector Fields를 사용하였다. 이를 통해 sputter 내 플라즈마 특성, target으로 입사하는 이온에너지 및 각 분포, 이들이 target erosion 형상에 미치는 영향을 살펴보았다. 또한 이들 결과로부터 간단한 sputtering 모델을 사용하여 target으로부터 sputter된 입자들이 substrate에 부착되는 현상을 Monte-Carlo 방법으로 추적하여 성막특성도 살펴보았다.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.37 no.4
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• pp.45-52
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• 2000

We present a novel method for simple and efficient analysis of the rectangular MQW waveguide. Preferentially two-dimensional structure is transformed into one-dimensional structure by using the effective index method. Then, the characteristic matrix of the resultant planar MQW waveguide is analyzed by scanning angle method. The effective index, modal intensity, and optical confinement factor of rectangular MQW waveguide can be effectively obtained by this method. Our simulation results show excellent agreement with the accurate solutions based on the finite element method. We also introduce the approximation methods for the analysis of rectangular MQW waveguide and investigate their validity. By using perturbation approach, modal power loss of guided wave in rectangular MQW waveguide is newly investigated and compared with the conventional method using the approximation of planar MQW waveguide.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.298-298
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• 2011

다양한 수문학적 순환 성분들의 영향을 받는 유역의 포화과정은 토양층의 공간적 이질성과 맞물려 매우 복잡한 거동특성을 보이는 것으로 알려져 왔다. 이와 관련하여 주목해 볼 만한 지형인자 중의 하나로서 지형지수(topographic index)를 들 수 있다. 지형지수는 TOPMODEL의 주요한 입력변수 중의 하나로서 그 공간적 분포에 따라 유역의 상대적인 포화도를 용이하게 평가할 수 있는 객관적인 수단을 제공한다. 하지만 신뢰성 있는 지형지수의 산정은 상당히 까다로운 작업으로서 정확한 지형지수를 산정할 수 있는 절대적인 방법은 존재하지 않는 것으로 알려져 있다. 이는 지금까지 개발된 DEM을 기반으로 한 각종 흐름방향 모의기술의 수준이 아직 자연적인 지형형상을 완전히 반영하지 못함에 기인한다. 본 연구에서는 8-흐름방향방법의 단점을 보완하기 위하여 개발된 바 있는 $\infty$-흐름방향방법에 따라 지형지수를 산정하여 유역이 공간적으로 포화되어 가는 과정을 모의하여 보았다. $\infty$-흐름방향방법은 각도의 형태로 흐름방향을 산정하여 고정된 흐름방향의 구속에서 벗어남과 동시에 최소한의 흐름분산(flow dispersion) 모의를 허용하여 유역규모의 포화과정을 효율적으로 모의할 수 있는 수단으로 판단된다. 대상유역으로는 설마천 유역을 선택하였으며 지형분석 과정에는 Arc GIS를 기반으로 운용되는 software 중의 하나인 TauDEM을 적용하였다. 아래 그림은 각각 포화도 20%, 50%, 90%에 해당하는 포화역을 도시한 것으로 하천망으로 중심으로 유역이 공간적으로 포화되어 가는 과정을 효율적으로 나타내고 있음을 확인할 수 있다. 본 연구를 통하여 제시되는 방법론은 자연유역의 유출응답 속에 내재하는 동적특성이나 비선형특성에 대한 체계적인 접근을 가능하게 하는 효율적인 수단을 제공할 수 있을 것으로 기대된다.

• Journal of Korean Society of Transportation
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• v.28 no.1
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• pp.157-163
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• 2010

It is well known that weather conditions are closely related with the number and severity of traffic accidents. At present, installation of safety countermeasures including systems is common approach to reduce the damage of traffic accidents at expressways. In this study, the differences of causation factors to influence traffic accidents considering road alignment characteristics and weather conditions. In order to identify the relationship between road and weather conditions, discriminant analysis has been performed with 500 traffic accident data at expressways. Weather conditions are divided into several categories such as snow, sunny, rain, fog, and cloud. Also, road conditions such as types of pavements, grades are analyzed. As the results, major impacting road conditions to traffic accidents are concrete pavement and 3% or more down grades. In these road conditions, visible distance will be reduced and actual braking distances will be increased. This study shows that the expressway sections under concrete pavement and down grades should be more cautious than other sections. It also shows that fog condition is the mose dangerous situation in terms of traffic accidents.

• Journal of Korea Water Resources Association
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• v.49 no.7
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• pp.615-623
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• 2016

This Study calculated the Submerged Flow Characteristics and Discharge coefficient by the rising angular change of the Improved-Pneumatic-Movable. According to the result, the smaller the ratio of weir height and weir length (L/W) or the weir standing angle, the bigger of the downstream head ($H_2$). The change of discharge reduction factor ($Q_s/Q_1$), by the hight from weir crest to downstream surface and the ratio form weir crest to upstream water height ($h_t/H$), was decreased when the $h_t/H$ closed to number 1. Although the weir water depth of the down-stream was shallower level than the up-stream, the velocity was faster then before. And the more the flow, the less the gab between the upper and lower reaches level. And when the same flow condition, the downstream head ($H_2$) was increased when the L/W was bigger. The Submerged Flow Discharge coefficient of Improved-Pneumatic-Movable weir was made by the upstream approach flow head and the upper lower stream flow condition, not by the physical data of Movable weir.

• Journal of Korean Society of Steel Construction
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• v.22 no.3
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• pp.241-251
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• 2010

This paper presents the development of a new analytical solution to the governing differential equation for isotropic annular sector plates subjected to uniform loading in a three-dimensional polar coordinate system. The 4th order governing partial differential equation (PDE) was converted to an ordinary differential equation (ODE) by assuming the Levy-type series solution form and the subsequent mathematical operations. Finally, a series-type solution was assembled with homogeneous and nonhomogeneous solution parts after operating real values and complex conjugates derived from the characteristic equation. To demonstrate the convergence rate and the accuracy of the featured method, several examples with various sector angles were selected and solved. The deflections and internal moments in the example annular sector plates that were obtained from the proposed solution were compared with those obtained from other analytical studies and numerical analyses using the finite element analysis package program, ABAQUS. Very good agreement with the results of other analytical and numerical methodologies was shown.

• Journal of Digital Contents Society
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• v.7 no.3
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• pp.153-160
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• 2006

It is not too much to say that invention of image divided the 19th and 20th century. Rapidly developed, produced and played images have a stronger effect on human beings and society. Today, images have an influence on forming interpersonal relationships by means of consciousness and ideas of new dimension, creating new image relationship different from verbal relationship between people. Especially moving image(image) is unlike other images, an image has unique psychological characteristics of its on. An image stimulates all the five human senses as well as sight, is easer to access and perceive than other media, and unable to control image development passively in general but get absorbed unconsciously very quickly. On 21th century As we are exposed to image whether consciously or unconsciously everyday, consideration on current times driving human beings and social relationship in an abnormal way is needed. Furthermore, new view of image study suggest to new relation of image that is a key factor to recover humanity and functions of society.

• Journal of Service Research and Studies
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• v.2 no.1
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• pp.39-46
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• 2012

It is growing in size of database in companies. This caused to develope data mining techniques to predictive information from the large database. Costs and other effects can give variety of sales exploding through the analysis of the differences. Analysis of the various classification techniques, various angle can be analyzed point of view of the area information. The analysis of rules and patterns associated with a large amount of useful information from the database can be analyzed effectively. Goods store were analyzed using association rules, one of the data mining analysis techniques. Through this type of existing products according to analyze customer buying patterns, data mining has been studied to establish strategic marketing analysis.