• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1997.11a
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• pp.57-62
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• 1997

The purposse of this study is to evaluate the effect of mechanical properties on handle of fabrics for some of the korean women's clothes, 160 different kinds of commercial silk and polyester fabrics were used for this study. Mechanical properties were measured by the KES-FB fabric testing systems and six hand judgements. and also, the technique of stepwise-block-regression method was applied to investigate relationship between sensory and mechanical properties. Finally, we have obtained useful formulas for calculation the hand valuer of fabrics for korean clothes.

• International Journal of Reliability and Applications
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• v.5 no.1
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• pp.25-36
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• 2004

Ultrasonic inspection system consist of the examination procedures, equipment, and operators. The reliability of nondestructive testing is influenced by the inspection environment, materials and types of defect. It is very difficult to estimate the reliability of NDT due to the various factors. Piping inspection round robin was conducted to quantify the capability of ultrasonic inspection during in-service. In this study, the models for predicting the ultrasonic NDE reliability by logistic model and linear regression model are discussed. The utility of the NDT reliability assessment is verified by the analysis of the data from round robin test with these models.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.3
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• pp.135-149
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• 2007

This paper investigates the relative effect of each ISO 9001 : 2000 quality management system's requirement and business performance. The empirical tests are conducted in ISO 9001 certification companies. As a result, the $1^{st}$, it shows the requirements positively affect performance of financial. The $2^{nd}$, also it shows the requirements positively affect non-financial performance. The $3^{rd}$ also it show the non-financial performance positively effect performance of financial performance.

• Journal of the Korea Concrete Institute
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• v.11 no.4
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• pp.157-167
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• 1999

Among several non-destructive testing methods, ultrasonic pulse velocity method and rebound index method have been widely used for the evaluation of concrete strength. However, such methods might not provide accurate estimated results since factors influencing the relationship between strength and either ultrasonic pulse velocity or rebound index are not considered. In this paper, the evaluation method of concrete strength using rod-wave velocity measured by impact-resonance method is proposed. A basic equation is obtained by the linear regression of velocity vs, strength data at specific age and then, aging factor is employed in the equation to consider the difference of the increasing rate between wave velocity and strength. Strengths predicted by the proposed equation agree well with test results. Furthermore, the combined method of rod-wave velocity and rebound index is proposed.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.05a
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• pp.130-133
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• 2000

In this paper, a new design methodology named FNNN(Fuzzy Polynomial Neural Network) algorithm is proposed to identify the structure and parameters of fuzzy model using PNN(Polynomial Neural Network) structure and a fuzzy inference method. The PNN is the extended structure of the GMDH(Group Method of Data Handling), and uses several types of polynomials such as linear, quadratic and modified quadratic besides the biquadratic polynomial used in the GMDH. The premise of fuzzy inference rules defines by triangular and gaussian type membership function. The fuzzy inference method uses simplified and regression polynomial inference method which is based on the consequence of fuzzy rule expressed with a polynomial such as linear, quadratic and modified quadratic equation are used. Each node of the FPNN is defined as fuzzy rules and its structure is a kind of neuro-fuzzy architecture Several numerical example are used to evaluate the performance of out proposed model. Also we used the training data and testing data set to obtain a balance between the approximation and generalization of proposed model.

• Industrial Engineering and Management Systems
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• v.15 no.4
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• pp.432-445
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• 2016

A random profile is the result of a process, the output of which is a function instead of a scalar or vector quantity. In the nature of these objects, two main dimensions of "functionality" and "randomness" can be recognized. Valuable researches have been conducted to present control charts for monitoring such processes in which a regression approach has been applied by focusing on "randomness" of profiles. Performing other statistical techniques such as hypothesis testing for different parameters, comparing parameters of two populations, ANOVA, DOE, etc. has been postponed thus far, because the "functional" nature of profiles is ignored. In this paper, first, some needed theorems are proven with an applied approach, so that be understandable for an engineer which is unfamiliar with advanced mathematical analysis. Then, as an application of that, a statistical test is designed for mean of continuous random profiles. Finally, using experimental operating characteristic curves obtained in computer simulation, it is demonstrated that the presented tests are properly able to recognize deviations in the null hypothesis.

• Annual Conference of KIPS
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• 2016.04a
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• pp.536-538
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• 2016

최근 소프트웨어가 사회에서 하는 일이 점점 더 증가함에 따라 소프트웨어의 개발비용도 함께 증가하고 있다. 소프트웨어의 개발비용 중 에러를 찾아내는 소프트웨어 테스팅이 상당한 부분을 차지하고 있는데 테스팅에 소요되는 비용 때문에 테스팅을 등한시 하는 경우가 많다. 그럼에도 불구하고 소프트웨어의 기능 추가나 변경이 이루어질 때마다 테스트를 진행하여야 소프트웨어의 에러를 최소화할 수 있다. 하지만 개발이 진행될수록 소요되는 비용이 증가하는 경우가 많아 실제 소프트웨어 개발에선 개발 기한이 다가올수록 회귀 테스트를 기피하게 된다. 본 논문에서는 이러한 문제를 해결하기 위해 소프트웨어의 개발을 진행하면서 형상관리를 통해 소프트웨어의 변경이 있을 때마다 회귀 테스트를 자동으로 수행해주는 도구를 제안한다.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.19 no.4
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• pp.582-588
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• 2010

This paper presents the Application of Response Surface Method for Optimal Transfer Conditions of MLCC Alignment System. his paper is composed of two parts: (1) Testing performance verification of MLCC alignment system, compared with manual operation; (2) Applying response surface method to figuring out the optimal transfer conditions of MLCC transfer system. Based on the successfully developed MLCC alignment system, the optimal transfer conditions have been explored by using RSM. The simulations using $ADAMS^{(R)}$ has been performed according to the cube model of CCD. By using $MiniTAB^{(R)}$, we have established the model of response surface based on the simulation results. The optimal conditions resulted from the response optimization tool of $MiniTAB^{(R)}$ has been verified by being assigned to the prototype of MLCC alignment system.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.5
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• pp.1378-1387
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• 2016

The purpose of this study is to extract the factors affecting service quality, customer satisfaction, and customer loyalty and to find out what effect service quality & customer satisfaction, service quality & customer loyalty, and customer satisfaction & customer loyalty respectively. The results of hypothesis testing through regression analysis showed that the hypothesis between service quality of ship management company and customer satisfaction was accepted in terms of all 5 service quality dimensions of tangibility, reliability, responsiveness, assurance and empathy. Also, the hypothesis between service quality of ship management companies and customer loyalty was accepted in terms of all 5 service quality dimensions of tangibility, reliability, responsiveness, assurance and empathy. Lastly, the hypothesis between customer satisfaction and customer loyalty was accepted.

• Korean Journal of Child Studies
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• v.27 no.3
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• pp.29-51
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• 2006

The 191 subjects of this study were counselors working with children under 18 years of age. The instrument was validated in an antecedent study and used after testing for reliability. Data were analyzed by Cronbach' a, quantification methods I, and multi-regression analysis. Results showed demographic variables at 5% of ad-$R^2$ over total burnout. Hobbies, counseling career, religion, and major field of study were significant. Marital status and caseload affected 'doubt about job.' Counseling field, qualifications and academic career affected 'negative personal relationship' and 'symptoms of somatization.' Psychological variables were 48% of ad-$R^2$ over total burnout. Self-esteem, type AB, self-insight and empathy ability for countertransference management ability were significant. Lower self-esteem, stronger type A personality, higher self-insight and lower empathy ability, produced higher degree of burnout.