• Journal of Korean Society for Quality Management
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• v.45 no.4
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• pp.847-866
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• 2017

Purpose: The purpose of this study is to examine the effects of educational service quality, participation intention, and educational performance in action learning class. Methods: The proposed research model is tested using structural equation modeling for hypotheses based on the data collected from one of action learning class. Results: The results indicate that educational service quality(reliability, assurance, tangibles, empathy, information accuracy, and relationship quality) positively affects participation intention which in turn improve educational performance, including aspects of before and after class of action learning. In addition, participation intention in classroom positively affects educational performance with both groups. For after class of action learning, the result confirms the effect of responsiveness of educational service quality on participation intention, however, in before class of action learning there is not showed a significant relationship. Conclusion: This study would provide useful information and can be applied to the improvement of educational performance through the participation of students by the instructors and the educational institutes who want to apply the active learning forum in classroom.

• The Transactions of the Korea Information Processing Society
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• v.6 no.3
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• pp.580-588
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• 1999

The reuse of software components from existing software system enhances productivity and reliability, decreases the cost of production in software development. The extraction of software components with high reusability from existing software system is very important in software reuse. The reuse of a class is classified into white-box reuse to reuse with modification and black-box reuse to reuse without modification. A class has the property of procedural language and object-oriented language. Therefore, it must measure reusability in consideration of two properties. In black-box reuse, independence of class is important quality. It can quantify through information hiding, coupling between objects, cohesion, etc. In white-box reuse, modification is the best important quality. It can quality through class complexity, coupling, cohesion, documentation, etc. We propose a new model for measurement of class reusability and the measure criteria in object-oriented program. A class that is measured by proposed model can judge whether the reuse with modification has the advantage or the reuse without modification has the advantage.

• Journal of Korean Society for Quality Management
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• v.34 no.4
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• pp.65-77
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• 2006

This study try to find the service quality factors of internet-based lecture and in-class lecture on the university level. The service quality factors of internet-based lecture are information quality and system quality factors which affect education service value, and customer satisfaction. This affects the service performance. The service quality factors of in-class lecture are tangibility, reliability, responsibility, assurance and empathy factors also affect education service value and customer satisfaction. This leads to service performance. This result will be helpful to enhance the service quality of university level lectures.

• Journal of Applied Tourism Food and Beverage Management and Research
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• v.16 no.1
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• pp.21-41
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• 2005

This study proposes the customer quality a parameter of service quality from a new perspective, develops and evaluation scale for it in relation to service business, analyzes and evaluates the its effect on service quality and performance. First, the concept of service quality and customer quality was investigated in the literatures, to find a basis for its relation to the quality of hotel service. However, previous 1) Among the service quality components, the strongest correlation exists between physical quality and service quality. 2) Hotel quality is most influenced by customer quality, followed by service provider quality and physical quality showing that when customer quality is incorporated as a prerequisite parameter if hotel quality it has the most effect on hotel quality, which is a new result. 3) Customer quality plays a significant indirect role via hotel quality on performance, and the physical quality and service provider quality offered to the customer at a hotel have more direct effect on performance, illustrating the difference in the effect on hotel quality depending on the component of hotel quality. 4) The evaluation of hotel quality and performance becomes more meaningful and valid only when customer quality is included as a prerequisite parameter of hotel quality to strongly interact with service provider quality 5) Comparative analysis of the different qualities according to the hotel class show a significant difference in customer quality, physical quality and service provider quality and performance between first-class and second-class hotels.

• Journal of Korean Society for Quality Management
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• v.19 no.2
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• pp.52-62
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• 1991

Consider a class of rank tests for comparing several treatments with a control and discuss some members among the class. New rank test based on orthogonal contrasts is proposed and compared with other well known tests. The approximate powers of the proposed test are also presented through the simulation studies.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.295-306
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• 2019

The purpose of this study was to Happiness Sharing Kumdo Class Participating Adolescents' achievement goal orientation on ego-resiliency and quality of life and to provide guidance measures for the correct growth of vulnerable participants through the happiness sharing Kumdo class, which will be activated as a sports support program. To achieve the purpose of this research, 236 Adolescent participating in the Happiness Sharing Kumdo Class was selected and surveyed in Seoul, Gyeonggi Province and Incheon. Based on the data collected, the following results were derived by conducting frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, and multiple regression analysis. First, verification of the effect of achievement goal orientation of Adolescent participating in Happiness Sharing Kumdo Class on ego-resiliency showed that task-orientation has significant influence on diversity, future-orientation, and emotion control, and ego-orientation has significant influence on diversity and emotion control. Second, verification of the effect of achievement goal orientation of Adolescent participating in Happiness Sharing Kumdo Class on quality of life showed that task-orientation has significant influence on quality of physical, psychological, social, environmental and educational quality, and ego-orientation has a significant influence on quality of physical and environmental quality. Third, verification of the effect of ego-resiliency on quality of life by Adolescent participating in Happiness Sharing Kumdo Class showed that diversity has not significant influence all factors of quality of life, but future-orientation has significant influence on quality of psychological and environmental quality, and emotion control has a significant influence on quality of physical, psychological, social and educational quality.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.2
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• pp.56-64
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• 2018

In recent years, imbalanced data is one of the most important and frequent issue for quality control in industrial field. As an example, defect rate has been drastically reduced thanks to highly developed technology and quality management, so that only few defective data can be obtained from production process. Therefore, quality classification should be performed under the condition that one class (defective dataset) is even smaller than the other class (good dataset). However, traditional multi-class classification methods are not appropriate to deal with such an imbalanced dataset, since they classify data from the difference between one class and the others that can hardly be found in imbalanced datasets. Thus, one-class classification that thoroughly learns patterns of target class is more suitable for imbalanced dataset since it only focuses on data in a target class. So far, several one-class classification methods such as one-class support vector machine, neural network and decision tree there have been suggested. One-class support vector machine and neural network can guarantee good classification rate, and decision tree can provide a set of rules that can be clearly interpreted. However, the classifiers obtained from the former two methods consist of complex mathematical functions and cannot be easily understood by users. In case of decision tree, the criterion for rule generation is ambiguous. Therefore, as an alternative, a new one-class classifier using hyper-rectangles was proposed, which performs precise classification compared to other methods and generates rules clearly understood by users as well. In this paper, we suggest an approach for improving the limitations of those previous one-class classification algorithms. Specifically, the suggested approach produces more improved one-class classifier using hyper-rectangles generated by using Gaussian function. The performance of the suggested algorithm is verified by a numerical experiment, which uses several datasets in UCI machine learning repository.

• Journal of Communications and Networks
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• v.9 no.3
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• pp.319-329
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• 2007

This paper presents a price-based quality-of-service (QoS) control framework for two-class network services, in which circuit-switched and packet-switched services are defined as "premium service class" and "best-effort service class," respectively. Given the service model, a customer may decide to use the other class as a perfect or an imperfect substitute when he or she perceives the higher utility of the class. Given the framework, fixed-point problems are solved numerically to investigate how static pricing can be used to control the demand and the QoS of each class. The rationale behind this is as follows: For a network service provider to determine the optimal prices that maximize its total revenue, the interactions between the QoS-dependent demand and the demand-dependent QoS should be thoroughly analyzed. To test the robustness of the proposed model, simulations were performed with gradually increasing customer demands or network workloads. The simulation results show that even with substantial demands or workloads, self-adjustment mechanism of the model works and it is feasible to obtain fixed points in equilibrium. This paper also presents a numerical example of guaranteeing the QoS statistically in the short term-that is, through the implementation of pricing strategies.

• Journal of the Korean Society of School Health
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• v.30 no.1
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• pp.81-91
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• 2017

Purpose: This cross-sectional study was carried out to identify factors influencing the health-related quality of life according to socioeconomic level during early adolescence. Methods: Participants were 617 middle school students in $1^{st}$ and $2^{nd}$ grade. All measures were self-administered. Data were analyzed using SPSS 21.0 program and factors affecting the health-related quality of life were analyzed by t-test, ANOVA, Duncan test, Pearson's correlation coefficient, and multiple regression analysis. Results: According to the level of Family Affluence Scale (FAS), 19.1% of the participants were in the high class, 66.5% in the middle class, and 14.4% in the low class. We have found statistically significant differences among the high, middle, and low classes regarding the health-related quality of life, health perception, resourcefulness, family function, and social capital. The most influential factors of the health-related quality of life were found to be resourcefulness, family function, and social capital in the high and the middle class. Conclusion: The implication of this study is that it is important for the Education Ministry and middle school teachers to help adolescents develop internal coping resources as well as to develop school-curriculums considering social values and norms related to social capital in order to improving their health-related quality of life.

• Journal of Korean Society for Quality Management
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• v.36 no.2
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• pp.36-44
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• 2008

In this paper a novel feature extraction and selection is carried out in order to improve the discriminating capability between healthy and damaged structure using vibration signals. Although many feature extraction and selection algorithms have been proposed for vibration signals, most proposed approaches don't consider the discriminating ability of features since they are usually in unsupervised manner. We proposed a novel feature extraction and selection algorithm selecting few wavelet coefficients with higher class discriminating capability for damage detection and class visualization. We applied three class separability measures to evaluate the features, i.e. T test statistics, divergence, and Bhattacharyya distance. Experiments with vibration signals from truss structure demonstrate that class separabilities are significantly enhanced using our proposed algorithm compared to other two algorithms with original time-based features and Fourier-based ones.