• 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 Families and Better Life
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• v.19 no.4
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• pp.137-149
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• 2001

The purpose of this study was to develop a scale for analyzing family life structure. For this purpose, family life was divided into 8 areas as to be grasped on the whole at first. Next the items to measure both the subjective and objective sides of each area are selected. At last, to test the reliability and validity of the scale we followed a process of verification. Diagnosing each family and making its problems and weaknesses clear with this scale will offer a base for developing the service which meets that familys needs.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.7
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• pp.1050-1060
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• 2009

This study develops a scale for consumer clothing satisfaction based on Lee et al. 's (2002) five stages of the consumer life cycle (acquisition, possession, consumption, maintenance, and disposal). Data were gathered by surveying college students using convenience sampling, and 419 questionnaires were used in the statistical analysis. In analyzing the data, an exploratory factor analysis and a confirmatory factor analysis using a structural equation modeling were conducted. The proposed scale, which identified various sources of satisfaction and dissatisfaction associated with the 5 consumption cycles of clothing, suggests some guidelines for marketers in enhancing consumer clothing satisfaction across consumption stages. The model test for the scale also identified that consumption satisfaction had the greatest effect on consumer clothing satisfaction showing the strongest loading and squared multiple correlation.

• The Journal of Korean Medical History
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• v.23 no.2
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• pp.15-22
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• 2010

Currently, in Korea, all lengths are written in "meter" unit, and the non-statutory measuring units are banned for use. However, in some fields, traditional measuring units are widely used with necessary modifications, and people in such fields raise varying arguments on conversion to "meter" unit. This research examines traditional measuring units from historical and cultural viewpoints, and provides suggestions on how to improve consistency and standardization for more accurate and effective exchangeof scientific opinions.

• 한국경영정보학회:학술대회논문집
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• 2007.11a
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• pp.111-116
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• 2007

체계적인 정보화 투자 및 관리를 위한 전사적 아키텍처(EA)를 도입한 기관과 기업이 늘어남에 따라, EA 도입의 성과를 명확하게 평가해야 할 필요성도 높아지고 있다. EA를 도입한 나라의 약 36%에서 EA의 도입 현황과 성과를 측정하고 있으며, 국내에서도 범정부 정보기술아키텍처 성숙도 평가모형을 개발하는 등, 다양한 접근 방법으로 EA 평가를 위한 방안을 연구하고 있다. 그러나 EA를 통해 추구하는 목적이 매우 다양하고, EA의 활용과 관리에 대한 표준체계가 없어 EA 평가모형의 적용 범위와 효용성은 매우 제한적이다. 본 연구는 조직의 EA 평가목적에 적합한 평가 대상 및 척도를 체계적으로 도출하기 위한 EA 평가모형 개발 프레임워크를 제안한다. 프레임워크는 IEEE Std 1471의 아키텍처 표현 개념 프레임워크를 EA에 적용하여 EA 평가모형 체계를 구성하고, EA 내부와 외부 이해당사자의 관심사항을 토대로 GQM 기법을 적용하여 EA 평가의 대상인 관점(viewpoint)과 평가 척도(metric)를 도출한다. 제안된 프레임워크를 적용하면 기업 및 조직의 EA 이해당사자가 의도하는 목적이 반영된 EA 평가모형을 개발할 수 있다. 모형의 상세화와 더불어 프레임워크를 실무에 적용하기 위해서 필요한 객관적인 평가기준과 모형 개발과 적용을 지원하는 도구에 대한 연구가 향후 과제이다.

• Journal of the Korean Society of Clothing and Textiles
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• v.12 no.3 s.28
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• pp.373-382
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• 1988

The purpose of this study is to compare the image discrepancy with Korean clothing and Western clothing using semantic differential scales. 19 adjective pairs were used for this study. The survey questionnaire were given to 946 married - women in Seoul. For the statistical analysis frequency, percentage, mean, ANOVA, t-test and Factor analysis were used. T he major findings were as follows: 1. To evaluate the women's clothing, four major factors were obtained and it was found that women evaluated quite differently their dresses with Korean and western styles. 2. The major evaluating factor of Korean dress was aesthetic aspect and on the other hand the main factor of western dress was functional aspect.

• Journal of KSNVE
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• v.10 no.2
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• pp.254-260
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• 2000

the reduction of the interior nosie level has been the main interest of NVH engineers in the development of vehicles. However, the consumer's perception on the car noise is affected largely by the psychoacoustic characteristics of the noise, as well as the sound pressure level. In this study, the quality of the vehicle interior nosie is analyzed by employing the subjective evaluations and by representing them in temrs of the objective quantities. The subjective evaluatins were performed for the seven vehicles in the range of subcompact to luxury cars. The methods of paired comparisons and semantic differential were used to study the preference, the quality of interior noise and their correlation. The linear regression models were obtained for the subjective evaluation and the sound quality metrics.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2007.11a
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• pp.1134-1139
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• 2007

In recent years, public complaints about railroad noise by KTX and Ordinary train are increasing. Restriction of railways uses same standard without distinguishing the type of railways. According to the type of railways, the frequency characteristics of emitting noise is different. Therefore it is requested to know how vary the public response to each types of railway. The noise annoyance to three types of trains (KTX, Electric train, Diesel train) was analyzed by Jury Evaluation Test for assessing the effect of frequency characteristics. The numerical results by a Semantic Differential Method showed that annoyance response to three type of trains depended on the frequency characteristics. As a result, this study proposed that the KTX could have a bonus level of maximum 2.9dB(A) to ordinary train.

• Journal of KSNVE
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• v.11 no.1
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• pp.118-124
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• 2001

The effect of a concentrated mass on the regions of dynamic instability of an axially oscillating cantilever beam is investigated in this paper. The equations of motion are derived using Kane's method and the assumed mode method. It is found that the bending stiffness is harmonically varied by axial inertia forces due to oscillating motion. Under the certain conditions between oscillating frequency and the natural frequencies, dynamic instability may occur and the magnitude of the bending vibration increase without bound. By using the multiple time scales method, the regions of dynamic instability are obtained. The regions of dynamic instability are found to be depend on the magnitude of a concentrated mass or its location.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.41 no.5
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• pp.81-90
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• 2004

This paper presents new testability measure based on learning, which can be useful in the deterministic process of test pattern generation algorithms. This testability measure uses the structural information that are obtained by teaming. The proposed testability measure searches for test pattern that can early detect the conflict in case of the hardest decision problems. On the other hand in case of the easiest decision problem, it searches for test pattern that likely results in the least conflict. The proposed testability measure reduces CPU time to generate test pattern that accomplishes the same fault coverage as that of the distance-based measure.