• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.16 no.5 s.110
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• pp.457-469
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• 2006

In automotive engineering, the brand sound is one of the important advantage strategies in a car company. For the design of brand sound, the selection of descriptive word for a car sound is one of major works in automotive sound quality research. In this paper, booming and rumbling sound, which are professional words used by sound and vibration engineers are used for the design of brand sound. We employed sound quality metrics, which are used in the psychoacoustics. By most research results, the relationship between subjective evaluations and sound quality metrics has nonlinear characteristics. In order to correlate these subjective evaluations with sound quality metrics, the artificial neural network technology has been applied to two-dimensional sound quality index for a passenger car. These indexes are used for 46 passenger cars, which are samples of the famous cars around the world. Also a preference evaluation for car sound was carried out by sound and vibration engineers. We coupled this preference with booming and rumbling sounds by using artificial neural network. In future, the two dimensional sound and preference index will be very useful to develop brand sound in passenger cars.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.4
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• pp.271-277
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• 2013

In spite of the emphasis on quality control in auto-industry, most of subcontract enterprises still lack a systematic in-process quality monitoring system for predicting the product/part quality for their customers. While their manufacturing processes have been getting automated and computer-controlled ever, there still exist many uncertain parameters and the process controls still rely on empirical works by a few skilled operators and quality experts. In this paper, a real-time product quality monitoring system for auto-manufacturing industry is presented to provide the systematic method of predicting product qualities from real-time production data. The proposed framework consists of a product quality ontology model for complex manufacturing supply chain environments, and a real-time quality prediction tool using support vector machine algorithm that enables the quality monitoring system to classify the product quality patterns from the in-process production data. A door trim production example is illustrated to verify the proposed quality prediction model.

• Journal of Engineering Education Research
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• v.14 no.6
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• pp.60-66
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• 2011

The curriculum system and documentation for advanced general education, MSC (Mathematics, Basic Science, Computer Science), and engineering-design courses have been developed to improve the education of advanced undergraduate students in engineering and technology at Chosun University. In this paper, to obtain improved quality of engineering courses, we systemized the education of engineering and technology, which could be designed as the education satisfying students and provide awards for high-quality performance, through efficient management of education courses and establishment of basic and professional courses. In addition, by applying evaluation to the engineering courses and using the model of continuous quality improvement, we could achieve a high-quality education system for the engineering and technology courses.

• Journal of Korean Academy of Nursing
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• v.23 no.4
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• pp.617-630
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• 1993

Factors related to health promotion activities and quality of life in Korean women with arthritis have not been clearly identified. Predictors of health promotion might be identified that will enhance the well - being of this group. Accordingly, the findings of the study will contribute additional information about the relationship between health promotion and quality of life and will add to the research on quality of life of individuals with a leading cause of disability--arthritis. The purpose of the study was to examine the relationship of selected background factors (years of illness, perceived severity of illness, uncertainty in illness), perceived self- efficacy, and health promoting behaviors to the quality of life of Korean women with arthritis. A cross - sectional descriptive design was used in this study to investigate relationships among the variables of interest. The sample was composed of 96 women who had arhtrits and visited large university hospital in Seoul for regular check up or pre-scription of medication. The purpose of a descriptive correlational design was to determine the absence or presence of relationships among variables that were measurable (Polit & Hungler, 1981, p.147). The design of this study was appropriate because it yielded answers to the research questions and hypotheses regarding the relationships among the model variables. the Questionnaire contained demographic information, translated Mishel Uncertainty in illness Scale-Community form (MUIS-C) (Mishel, 1987), translated and modified Disease Course Graphic Scale(DCGS) which was developed by Braden (1990), translated Sherer. et al.’s General Self-Efficacy Scale (1982), The Health -Promoting Lifestyle Profile (HPLP), developed by Walker, Sechrist, and Fender (1987) and traslated to Korean by Ha, and quality of life was measured by Face Scale (Andrew, 1976). Several steps of verification for the translation process were carefully conducted. Data analysis included descriptive correlational statistics and multiple regression techniques. Health promotion was the only contributor to pre-dict quality of life. Results showed that enabling cognitive perceptual factor (self-efficacy) mediates the disruptive force (uncertainty in ill-ness) on achieving a health promoting self- help behavior. The findings of this study also indicated that illness - related variable of severity of illness was mediated by health promotion, which buffered it's impact on quality of life.

• Transactions of the Korean Society of Automotive Engineers
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• v.6 no.3
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• pp.154-160
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• 1998

Ride quality of medium truck became a very important factor in the suspension design, to the demand of more comfortable ride of passengers. This study describes how to determine and evaluate design parameters related to the chassis suspension system with time and frequency analysis. The spring stiffness and damping force of the chassis suspension system were obtained by observing the vertical acceleration PSD. The simulation was carried out on various road profiles, which was suggested by ISO. The pitching motion of the medium size truck was observed to improve the ride quality. A computer simulated truck model was constructed using DADS, a commercial dynamic analysis software, in order to simulate the truck motions. From the analyzed process of suspension parameters, it was concluded that the spring and the shock absorbers affect the pitching of the vehicle. In order to validate the computer simulated truck model, a physical prototype was constructed and tested.

• Journal of the Ergonomics Society of Korea
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• v.17 no.3
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• pp.71-80
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• 1998

This study proposed a method to apply certain fuzzy-related Quality control concepts to design customer-oriented products considering user requirements and information starting with the product development stage. This approach showed how to define the importance level of design elements and how to Quantify complex subjective perception of products using the fuzzy linguistic rating method and quality function deployment concepts. Using this approach, various customer requirements could be interpreted and reflected on the early design phase of a new product. To validate the proposed method, an experiment was conducted for designing the shape of the beeper using 14 subjects and 10 commercial beeper products. Front area, width/length ratio, thickness, curve variance, weight, and display area were selected as design elements of the beeper. The results showed that among design elements, front area and weight are significantly related with the subjective perception of the products. Consequently, this study indicates that customer decision on product selection could be made by quantification of user perception for beeper products.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.89-96
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• 2021

In various areas of the 4th industry, a big issue is software quality enhancement for stability and reliability of the smart software systems. After revising software promotion law at 2020, we must clearly define requirements and separate design parts and implementation parts of an all public software development contracts. In this study, we need to validate whether the final implementation of software is followed by the original design or not. To do this, we consider the design restoration through software visualization based on reverse engineering. Therefore we propose an UML design extraction and visualization method based on reverse engineering. Based on this, we may validate whether it is implemented according to the original design, and how much visualizes and includes the code the internal complexity for improvement of software quality.

• The Research Journal of the Costume Culture
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• v.32 no.3
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• pp.419-437
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• 2024

This study analyzed differences in the purchase satisfaction and repurchase intention of customers who buy clothing products from online platforms. The participants were teenage individuals to those in their 50s residing in Busan, Ulsan, and Gyeongsangnam-do. The data were examined via factor analysis, a t-test, Analysis of variance(ANOVA), Duncan's multiple range test, two-way ANOVA, and linear regression analysis. The factors for satisfaction with clothing products from online platforms were wearing comfort and quality, design, and price and purchase convenience. The findings revealed that purchase satisfaction based on these factors significantly varied among the participants depending on marital status, age, and occupation. Satisfaction with wearing comfort, quality, and design differed by gender. Satisfaction with wearing comfort, quality, and price and purchase convenience varied by type of purchase and type of online platforms. The interaction effects among the variables that affected purchase satisfaction were as follows. The interaction effects among the variables for wearing comfort and quality showed significant interactions between gender and type of purchase and between occupation and type of online platforms. Those for design showed significant interactions between marital status and age, between age and occupation, and so on. The interaction effects for price and purchase convenience showed significant interactions between marital status and gender and between age and occupation. The results on repurchase intention showed significant differences in such intention by marital status, age, and occupation. Repurchase intention was influenced by wearing comfort and quality, price and purchase convenience, design, and age.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.41
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• pp.167-175
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• 1997

This study is concerned with Quality Maintenance System in Total Productive Maintenance. The important factor in manufacturing process is to attain the uniformity of quality Also quality assurance system is defined such as manufacturing process and products. In this paper, the design of quality maintenance system is considered to manufacturing process elements. Especially the manufacturing process is oriented to machinery equipments, repair and maintenance system is wide principal factor. And quality in manufacturing field is influenced by equipment maintenance system. So in the article, maintenance system for quality is given in a view of quality assurance. And the analysis of Physical Mechanism is explored in real field example.

• Journal of Distribution Science
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• v.21 no.1
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• pp.65-72
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• 2023

Purpose: The purpose of this study was to determine the effect of Service Quality on Brand Performance through Satisfaction at an aviation campus in the Special Region of Yogyakarta, Indonesia. Research design, data, and methodology: This research design was hypothesis testing using primary data obtained by distributing questionnaires directly to 200 respondents who were active students at an aviation campus in the Special Region of Yogyakarta, Indonesia. The analytical method used was the Structure Equation Model (SEM). Results: The results of this study show that: (1) there was a significant and positive relationship between Service Quality and Satisfaction, (2) there was a significant and positive relationship between Satisfaction with Brand Performance, and (3) there was a significant and positive relationship between Service Quality and Brand Performance. Conclusion: This study concludes that for the dimension of Academic service quality distribution from the service quality variable, it is suggested to improve detailed recording by academic teaching staff. For the dimensions of Administrative Service Quality distribution from the Service Quality variable, it is recommended to increase the hospitality in the campus environment. For the dimensions of Facility Service Quality distribution from the Service Quality variable, it is recommended to increase satisfaction in terms of facilities on campus. For the Satisfaction variable, it is suggested to improve the performance of the staff and the academic community.