• 한국산학기술학회논문지
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• 제12권8호
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• pp.3415-3420
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• 2011

고객만족도 수준이 높아질수록 만족고객의 비율이 높아지는 것은 당연한 현상이라 할 수 있는데, 실제 조사 측면에서는 만족응답으로의 쏠림현상이 두드러져, 데이터 분석의 구조적 한계와 함께 고객만족 개선안 도출의 유용성이 낮아지고 있다. 이러한 문제점을 해결하기 위해서는 만족고객을 재분류하여 보다 전략적인 의미를 도출하고 만족 고객의 불만족 요인을 찾아내기 위한 연구가 필요하다. 본 연구에서는 기존의 고객만족도 조사에서 사용한 단일차원이 아닌, 만족/불만족 2차원 모형을 적용하여 고객 재분류 방법을 제안하였다. 제안 모델을 적용한 결과 만족과 관련된 속성과 불만족에 관련된 속성이 별개이고, 만족요인과 불만족 요인의 역할과 기능이 다르게 작용하고 있음을 확인하였다. 이를 통해 고객 재분류를 통하여 고객 만족을 최대화하고 동시에 고객 불만족 발생을 억제할 수 있어서 궁극적으로 고객만족경영을 달성할 수 있는 가능성을 확인하였다.

• 한국컴퓨터정보학회논문지
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• 제17권5호
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• pp.157-167
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• 2012

본 연구에서는 중소기업청의 정책자금지원 사업을 도와 줄 OLAP 데이터베이스 시스템을 구축하는 것을 목적으로 하고 있다. 정책자금을 단계적으로 지원하기 위해서는 필수적으로 이질 차원 스키마를 채택해야 한다. 따라서 본 연구에서는 단계적 정책금융을 지원하도록 하는 FREQUENCY 차원테이블을 작성한 것이다. 또한 본 연구에서는 중소기업의 크기를 측정할 모델을 작성하였는데, 이 모델은 매출액, 고용인력, 기술보유, 매출액 영업이익률, 부채 비율, 유동비율의 6가지 기업크기 측정지표로 구성되어 있다. FREQUENCY 차원을 포함한 3개 차원과 기업크기 측정모델을 사용하여 OLAP 데이터베이스 시스템을 구축한 것이다. 아울러 이렇게 구축한 OLAP 데이터베이스 시스템을 이용하여 2004년~2007년 간 기 시행된 중소기업 정책자금 지원사업의 적정성을 평가해 보고 있다.

• 한국항해학회지
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• 제16권3호
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• pp.77-85
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• 1992

Camera arrangement for depth and image correspondence is very important to the computer vision. Two conventional comera arrangements for stereo computer vision are lateral model and axial motion model. In this paper, using the axial motion stereo camera model, the algorithm for camera focal length measurement and the surface smoothness with the radiance-irradiance is proposed fro 3-dimensional image correspondence on stereo computer vision. By adapting the above algorithm, camera focal length can be measured precisely and the resolution of 3-dimensional image correspondence has been improved comparing to that of the axial motion model without the radiance-irradiance relation.

• Industrial Engineering and Management Systems
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• 제13권4호
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• pp.454-462
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• 2014

Retention of possible churning customer is one of the most important issues in customer relationship management, so companies try to predict churn customers using their large-scale high-dimensional data. This study focuses on dealing with large data sets by reducing the dimensionality. By using six different dimension reduction methods-Principal Component Analysis (PCA), factor analysis (FA), locally linear embedding (LLE), local tangent space alignment (LTSA), locally preserving projections (LPP), and deep auto-encoder-our experiments apply each dimension reduction method to the training data, build a classification model using the mapped data and then measure the performance using hit rate to compare the dimension reduction methods. In the result, PCA shows good performance despite its simplicity, and the deep auto-encoder gives the best overall performance. These results can be explained by the characteristics of the churn prediction data that is highly correlated and overlapped over the classes. We also proposed a simple out-of-sample extension method for the nonlinear dimension reduction methods, LLE and LTSA, utilizing the characteristic of the data.

• 구강회복응용과학지
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• 제30권4호
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• pp.315-323
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• 2014

과도한 치아의 마모는 수직 교합 고경의 감소를 야기하여 구강 및 저작계의 병적 변화를 일으킬수 있으며, 이 경우 새로운 교합 설정과 수직 고경 회복 시 정확한 진단과 분석이 필수적이다. 이에 본 증례에서는 고딕 아치 트레이서를 통해 거상된 수직고경에서의 중심위를 기록한 후 전악 수복을 시행하였다. 본 증례는 70세 남자 환자로서 이가 시리고 아파서 음식을 먹지 못한다는 주소로 내원하였다. 전반적인 치아 마모에 의한 수직고경의 감소를 보여 면밀한 모형분석을 통해 수직고경의 거상을 결정하였다. 거상된 수직고경에 맞춰 고딕 아치 트레이서를 이용하여 중심위 채득 후 임시 보철물을 장착하였다. 4개월 동안 임시 보철물을 통해 적절한 교합을 형성하였으며 이를 이용하여 최종 보철을 제작하였다. 치료를 통해 기능적, 심미적으로 만족할 만한 결과를 얻었기에 이를 보고하는 바이다.

• 한국의상디자인학회지
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• 제10권1호
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• pp.125-134
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• 2008

Consumers' need for uniqueness reflects individual differences in counterconformity and related to the attitude toward brands as well as purchase behavior. To understand the relationship between consumer's personal characteristics and purchase behavior, the study investigated the effect of consumers' need for uniqueness and clothing interest on the brand consciousness, loyalty and purchase intention. Survey was utilized to collect the data and subjects were 271 college students. Measures consisted of five main constructs: Consumer's need for uniqueness, clothing interest, brand consciousness, brand loyalty, and purchase intention. The measurement and structural models were evaluated using PRELIS 2 and LISREL 8.53. Consumer's need for uniqueness was confirmed to have three constructs: creative, unpopular, and avoidance. The researcher tested Model 1 and developed five other models-Models 2 through 6-based on the results from Model 1 evaluation. The additional Models 2 through 6 were nested in Model 1. To select a best model, the researcher compared the value of chi-square, RMSEA, GFI, AIC, and ECVI. Since Model 6 also illustrated conceptually or theoretically reasonable relationships among constructs as well, it was finally selected as a best model. In the Model 6, the creative dimension of consumer's need for uniqueness had a negative relationship with brand loyalty, while the avoidance dimension of consumer's need for uniqueness had positive relationship. The unpopular dimension of consumer's need for uniqueness and clothing interest had significant positive effects on the brand consciousness. The brand consciousness was significantly related to brand loyalty and brand loyalty to purchase intention.

• 한국정밀공학회지
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• 제19권6호
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• pp.96-103
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• 2002

The objective of this study is to adjust the roll gap fur the dimension accuracy of bar in hot bar rolling process considering roll wear. In this study hot bar rolling processes fur round and oval passes have been investigated. In order to predict the roll wear, the wear model is reformulated as an incremental from and then wear depth of roll is calculated at each deformation step on contact area using the results of finite element analysis, such as relative sliding velocity and normal pressure at contact area. Archard's wear model was applied to predict the roll wear. To know the effects of thermal softening of DCI (Ductile Cast Iron) roll material according to operating conditions, high temperature micro hardness test is executed and a new wear model has been proposed by considering the thermal softening of DCI roll expressed in terms of the main tempering curve. The new technique developed in this study for adjusting roll gap can give more systematically and economically feasible means to improve the dimension accuracy of bar with full usefulness and generality.

• 제어로봇시스템학회논문지
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• 제7권5호
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• pp.445-453
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• 2001

The multiple targets tracking problem has been one of the main issues in the radar applications area in the last decade. Besides the standard Kalman filtering, various methods including the variable dimen-sion filter, input estimation filter, interacting multiple model(IMM) filter, dederated variable dimension filter with input estimation, etc., have proposed to address the tracking and sensor fusion issues. In this pa- per, two existing tracking algorithm, i.e, the IMM filter and the variable dimension filter with input estima-tion(VDIE), are combined for the purpose of improving the tracking performance for maneuvering targets. To evaluate the tracking performance of the proposed algorithm, three typical maneuvering patterns, i.e., waver, pop-up, and high-diver motions, are defined and are applied to the modified IMM filter as well as the standard IMM filter. The smaller RMS tracking errors, in position and velocity, of the modified IMM filter than the standard IMM filter are demonstrated though computer simulations.

• International Journal of Precision Engineering and Manufacturing
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• 제4권1호
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• pp.56-62
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• 2003

The objective of this study is to adjust the roll gap for the dimension accuracy of bar in hot bar rolling process considering roll wear. In this study hot bar rolling processes for round and oval passes have been investigated. In order to predict the roll wear, the wear model is reformulated as an incremental form and then wear depth of roll is calculated at each deformation step on contact area using the results of finite element analysis, such as relative sliding velocity and normal pressure at contact area. Archard's wear model was applied to predict the roll wear. To know the effects of thermal softening of DCI (Ductile Cast Iron) roll material according to operating conditions, high temperature micro hardness test is executed and a new wear model has been proposed by considering the thermal softening of DCI roll expressed in terms of the main tempering curve. The new technique developed in this study for adjusting roll gap can give more systematically and economically feasible means to improve the dimension accuracy of bar with full usefulness and generality.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1997년도 추계학술대회 논문집
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• pp.1036-1041
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• 1997

The objective of this study is to adjust the roll gap for the dimension accuracy of bar in hot bar rolling process considering roll wear. In this study hot bar rolling processes for round and oval passes have been investigated. In order to predict the roll wear, the wear model is reformulated as an incremental form and then wear depth of roll is calculated at each deformation step on contact area using the results of finite element analysis, such as relative sliding velocity and normal pressure at contact area. Archard's wear model was applied to predict the roll wear. To know the effects of thermal softening of DCI (Ductile Cast Iron) roll material according to operating conditions, high temperature micro hardness test is executed and a new wear model has been proposed by considering the thermal softening of DCI roll expressed in terms of the main tempering curve. The new technique developed in this study for adjusting roll gap can give more systematically and economically feasible means to improve the dimension accuracy of bar with full usefulness and generality.