• Journal of the Korean Society of Food Culture
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• v.23 no.2
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• pp.152-162
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• 2008

The objectives of this study were to: a) examine foreign customers’ satisfaction and expectations for the food and service attributes of Korean restaurants located in the U.S., b) measure the gap between the satisfaction and expectations for food and service attributes, c) analyze through IPA analysis the crucial attributes needing improvement in order to minimize the discrepancy between customers’ expectations and performance, and d) analyze the effects of factors related to the food and service attributes on overall customer satisfaction in regard to Korean restaurant selection. A total of 255 American customers who had visited four Korean restaurants located within metropolitan and rural areas of the U.S. were surveyed for this study. Statistical analyses, including t-tests, factor analysis, and multiple regression, were performed using the SPSS statistical package (12.0). The American customers’ overall satisfaction of the food and services offered by the Korean restaurants was relatively high, with the exception of tangible service attributes such as comfortable chairs, restroom cleanliness, and restaurant interior. The urban foreign customers, however, were dissatisfied with the use of healthful ingredients in Korean food, because their expectation level toward this aspect exceeded their satisfaction level. In terms of Korean restaurant selection, tangible services related to the restaurant facilities were identified as the critical factor having an effect on American customer satisfaction.

• International Journal of Automotive Technology
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• v.6 no.5
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• pp.513-517
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• 2005

A full-bead of multi-layer-steel engine head gasket, taking charge of the dynamic sealing of combustion chamber, is susceptible to fatigue failure. The fatigue durability of full-bead was assessed with the finite element analysis results and the high-cycle multi-axial fatigue theory. The assessment aimed to reveal the effects of the forming parameters and dimensions of full-bead. The results show that the selection of embossing parameters producing less deformation of bead plate is beneficial for the improvement of durability while the flatting has marginal influence. The fatigue durability also improves with the increase in the width of full-bead and the radial length of bore-side flat region. However, the dimensional effects are limited due to the occurrence of snap-through.

• Journal of Korean Institute of Industrial Engineers
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• v.25 no.2
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• pp.204-216
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• 1999

Failure physics and statistical lifetime analysis constitute the two extreme ends of the reliability engineering spectrum, and studies that relate failure mechanisms to failure distributions have been near non-existent. This paper is an attempt to stimulate interest to fill the gap between the two extremes and proposes an approach of combining them through i) developing a failure mechanism model, ii) generating failure times by Monte Carlo simulation with the model, iii) deriving the failure time distribution and evaluating the product reliability, and iv) improving the product reliability by the sensitivity analysis. An application of the proposed approach to the BGA(Ball Grid Array) surface mount package is also provided.

• Journal of Korean Society for Quality Management
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• v.41 no.3
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• pp.327-335
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• 2013

Purpose: The purpose of this study is to suggest the modified 'Korean Standard-Quality Excellence Index' model and analyze the improvement effect with survey data by comparing the properness between current and suggested model result. Methods: The collected data through the survey were analyzed using paired t-test and unbalanced ANOVA method for testing the consistency of two customer satisfaction evaluating categories and comparing the current model to suggested model for confirming the improvement of performance. Results: The statistical analysis result shows that adjusted model using prior information improves the consistency between two customer satisfaction in case of short life-cycle product. Also long life-cycle product case, the result shows difference gap decreasing with same direction. Conclusion: Considering statistical model for QEI reflecting the characteristic of product group such as life cycle seems to be meaningful. Since index may be compared yearly base for checking the trend, careful approaching without big change should be considered for application.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.4
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• pp.117-128
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• 2018

Various government support policies are being promoted in order to stimulate growth of SMEs. The government is striving to provide effective support through direct methods of tax, finance and indirect methods through support programs. However, the view on the government's startup policy is still tense. We are sympathetic with the need for support, but discussions continue to be made on the effectiveness of support projects and support projects. Therefore, this study evaluates the importance and satisfaction of the government start-up support project. For this purpose, we conducted questionnaires on ICT start-ups who have experienced government start-up support projects. Of these, 128 were analyzed for GAP analysis and ISA. As a result of the GAP analysis of the government start - up support project, the degree of satisfaction (4.408) was lower than the degree of importance (5.221), confirming that the beneficiary's evaluation on the start-up support project was negative. As a result of the importance-satisfaction analysis, 'R&D' and 'commercialization' are located in the maintenance area, and 'government funding', 'marketing, overseas advancement' projects are included in the concentrated area. In the low-ranking areas, there are 'entrepreneur events and networks' items. Finally, there are 'facilities and spaces', 'mentoring and consulting', and 'entrepreneurship education' in the surplus areas. As a result of multiple regression analysis, it was found that 'R&D', 'entrepreneurial education', and 'government funding' influenced satisfaction. Based on the results of this study, it is expected that it will contribute to improving the quality level of the government start-up support project by establishing the support policy for the ICT start-up enterprises and improving the system.

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.9
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• pp.1271-1278
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• 2009

The purpose of this study was the improvement of satisfaction for school foodservice customers through analysis of the importance and performance of school foodservice quality and the understanding what factors affected customer's loyalty. The questionnaire was distributed to three hundred students at five high schools in Busan. Students evaluated the factors of importance and performance, the order of importance was sanitation> food> service and then, the order of performance was sanitation> service> food. Gap analysis resulted 4.39 for importance factors and 2.51 for performance factors; importance scores were higher than performance scores at all areas (p<0.01) and the sanitation factor gap was the biggest gap compared to all others. Each factor's analysis resulted that the gap analysis order was taste> balance of main & sub side dish> diversity of food in food area, quick react to customer complaint> reflection of customer proposal and recommendation> provide better service than competitor in service area, sanitation of food> cleanness of tableware> cleanness of container in sanitation area. The average score of customer's loyalty was 1.66 and female' score was significantly higher than male (p<0.001). Food, service and sanitation had a significant correlation to customer's loyalty than service (p<0.01), food (p<0.05), and sanitation (p<0.05) affected customer's loyalty significantly. So, intensive control is needed in the sanitation area which had the highest gap analysis result between importance and performance in food service. Especially, service factor was very important in explaining customer's loyalty, so service improvement through training is needed to improve student's satisfaction.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.221-227
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• 2024

In autonomous navigation systems, the need for fast and accurate image processing using deep learning and advanced sensor technologies is paramount. These systems rely heavily on the ability to process and interpret visual data swiftly and precisely to ensure safe and efficient navigation. Despite the critical importance of such capabilities, there has been a noticeable lack of research specifically focused on ship image classification for maritime applications. This gap highlights the necessity for more in-depth studies in this domain. In this paper, we aim to address this gap by presenting a comprehensive comparative study of ship image classification using two distinct neural network models: the Feedforward Neural Network (FNN) and the Convolutional Neural Network (CNN). Our study involves the application of both models to the task of classifying ship images, utilizing a dataset specifically prepared for this purpose. Through our analysis, we found that the Convolutional Neural Network demonstrates significantly more effective performance in accurately classifying ship images compared to the Feedforward Neural Network. The findings from this research are significant as they can contribute to the advancement of core source technologies for maritime autonomous navigation systems. By leveraging the superior image classification capabilities of convolutional neural networks, we can enhance the accuracy and reliability of these systems. This improvement is crucial for the development of more efficient and safer autonomous maritime operations, ultimately contributing to the broader field of autonomous transportation technology.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.643-651
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• 2020

A capsule train runs inside a sub-vacuum tube and can reach very high speed due to the low air resistance. A capsule train uses a superconducting electrodynamic suspension (SC-EDS) method for levitation, which allows for a large levitation gap and does not require gap control. However, SC-EDS has inherent characteristics such as the large gap variation and a small damping effect in the levitation force, which can degrade the running stability and ride comfort. To overcome this, a stability improvement device should be designed and applied based on dynamic analysis. In this study, a 1/10 small-scale testbed was developed to replicate the dynamic characteristics of a capsule train and investigate the performance of stability improvement devices. The testbed is composed of a 6-degree-of-freedom Stewart platform for the realization of bogie motion, a secondary suspension with a running stabilization device, and a carbody. Based on the dynamic similarity law proposed by Jaschinski, the small-scale testbed was manufactured, and a bogie motion algorithm was applied with the consideration of guideway irregularity and levitation stiffness. The experimental results from the testbed were compared with simulation results to investigate the performance of the testbed.

• Journal of Korean Society for Quality Management
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• v.31 no.2
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• pp.143-164
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• 2003

In this paper, we use and apply statistical tools to planning marketing strategy in advanced markets. New comers with low brand awareness in advanced markets can not attain high profit easily and need more effective strategic approach. In this paper, an effective and practical procedure is proposed to plan marketing strategies to satisfy the customer and increase the market share in advanced markets. The procedure consists of 5 steps : market survey, determining target brand, evaluation of brand attributes, gap analysis to determine the goal, and correlation analysis for effective improvement method. A case study is studied in the European market for electric appliances, between a Korean company and other companies. Various statistical tools are used to analyze the phenomena and some important conclusions are derived for effective marketing.

• Journal of the Korean Society for Precision Engineering
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• v.22 no.2
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• pp.156-163
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• 2005

A monoleaflet polymer artificial heart valve showed the remarkable improvement in pressure drop compared with other types of artificial valve. So, in this study we designed a monoleaflet polymer artificial valve with two supporting members to minimize the deformation and bending stress of the valve with respect to the variation of the gap between two supporting members using nonlinear contact analysis. The marginal valve thickness was also predicted in accordance with the relationship between the thickness and horizontal displacement in order to prevent the dislocation of the valve tip from the frame wall.