• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.2
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• pp.356-366
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• 2005

The purpose of this study was to examine a path analysis of perceived service quality, store image, alternative store attraction, consumer satisfaction and switching barrier perception on store loyalty in apparel product purchasing. The questionnaire was administered to 450 women shopped in a department store in Gwang-ju during September, 12-26, 2002. Data collected from 384 women were analyzed by using frequency, multiple regression analysis, path analysis by SPSS for WIN program. The results were as follows ; First, the switching barrier perception, consumer satisfaction, perceived service quality, store image significantly influenced store loyalty. Second, the consumer satisfaction, perceived service quality, store image, alternative store's attraction significantly influenced switching barrier perception. Third, the perceived service quality, store image, alternative store's attraction significantly influenced consumer satisfaction. Fourth, the perceived service quality, store image, alternative store's attraction had indirect effects on store loyalty mediated by consumer satisfaction and switching barrier perception. The consumer satisfaction had indirect effects on store loyalty mediated by switching barrier perception. In short, perceived service quality, store image, alternative store's attraction influenced on store loyalty mediated by consumer satisfaction and switching perception.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.2
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• pp.173-184
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• 2015

This study examined the impacts of the cultural proximity of Chinese consumers on the image of both country and product, and investigated how they are related to purchase intention of Korea fashion. Subjects were Chinese female consumers in their 20s and 30s, living in Yangtze River delta and Seoul. The results of the study were as follows: 1) The cultural proximity had a significant influence on the country image and fashion product image. Chinese consumers with more emotional proximity had more positive attitude towards country image, such as politics, economics, technology, cultures and people image. And consumers who had higher interest in Korea and Korean culture evaluated the quality, design, value and reputation of Korean fashion more positively. 2) Chinese consumers with positive attitude towards people, technology and culture image seemed to prefer fashion product. Specifically, the dimensions of country image had a different influence on the fashion product image such as product quality, design, value, reputation. 3) The Korea country image and fashion product image had also affected on purchase intention of Korean fashion products. Consumers with positive attitude towards people and technology image had higher purchase intention of Korea fashion products. And consumers with positive attitude towards reputation, value and design of fashion products had higher purchase intention of fashion products.

• Journal of the Korean Society of Food Culture
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• v.24 no.6
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• pp.649-654
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• 2009

This study has a purpose of suggesting the basic data to achieve customer satisfaction by understanding the preference of each type of restaurant industry for the taste of customers in 20's referring to 8 images. In the preference for style of image in dining space, the participants responded that they prefer natural, modern and romantic image, and both male and female participants preferred natural image. Participants responded that they prefer natural, romantic and modern in sequence as their general preference for style of image in dining space, and male participants preferred modern and natural but female participants preferred romantic and natural. The survey that was conducted for different menus has suggested that the reasonable image for fast food is casual, hard casual and classic for hotel restaurant, casual for school restaurant, romantic for cafe, casual for western restaurant, simple for Japanese restaurant, classic and elegance for Chinese restaurant and natural for Korean restaurant. According to the result of the analysis of dining space image, factor 1 are called 'cold image (CI)' as they have simple and modern image, factor 2 are called 'soft image (SI)' as they have natural and romantic image, factor 3 are called 'warm image (WI)' as they have casual and elegance image and factor 4 are called 'hard image (HI)' as they have classic image.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.5 s.142
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• pp.662-670
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• 2005

The purpose of this study was to find out the effect of color, tone, perceiver's gender on image perception of natural dyeing of cotton and mosi. The experimental materials developed for this study were a set of stimuli and response scale(The 7-point semantic). The stimuli was 20 fabrics manipulated with two kinds of fabrics(cotton, mosi), five colors(red, yellow, blue, green, purple) and two tone variations. The subjects were 412 adults in Daejeon and Kongju. The results were as follows: The perceived image of the stimulus material consisted of 4 dimensions (attractive, conspicuous, hand, weight) colors, tons, materials as well as perceiver's gender affected on some selected image dimensions color affected on the four image dimensions, tone affected on the conspicuous, hand and weight images, materials affected on the attractive and hand image and perceiver's gender affected on the weight image. Interaction effects existed among colors, tons and materials on the conspicuous image. In conclusion the results support gestalt theory in which the sum of the parts is bigger than the whole and design strategies for the Mosi fabrics should be developed on the basis of persuited design image as well as target consumers.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.259-268
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• 2019

This study examines the color image of uniform of airline cabin crew according to the demographic characteristics of the customer and demonstrates how it affects the cognitive image of airlines. Adjective adjectives were derived for uniform color images of all eight airlines in Korea and analyzed the image of airline brand color. Based on the analysis of color images, the difference in perception according to the demographic characteristics of passengers was analyzed. When the colors of airline uniforms are mainly blue, sky blue, white and ivory, they have a lot of trust, neat and elegant images. Uniforms with primary colors such as red, orange and green beans are found to have a lot of cheerful, developmental and enterprising images. In addition, the empirical analysis of the impact of the customer's cognitive perception and favoritism on the uniform color image of the airline crew showed that the more positive the airline's positive perception of the uniform color image, the more positive the cognitive image is. In other words, the empirical analysis revealed that the airline's uniform color image, its cognitive image of the airline, and its popularity have significant positive relationships.

• ETRI Journal
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• v.39 no.2
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• pp.173-180
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• 2017

Multimodal medical image fusion is the process of retrieving valuable information from medical images. The primary goal of medical image fusion is to combine several images obtained from various sources into a distinct image suitable for improved diagnosis. Complexity in medical images is higher, and many soft computing methods are applied by researchers to process them. Intuitionistic fuzzy sets are more appropriate for medical images because the images have many uncertainties. In this paper, a new method, based on Sugeno's intuitionistic fuzzy set (SIFS), is proposed. First, medical images are converted into Sugeno's intuitionistic fuzzy image (SIFI). An exponential intuitionistic fuzzy entropy calculates the optimum values of membership, non-membership, and hesitation degree functions. Then, the two SIFIs are disintegrated into image blocks for calculating the count of blackness and whiteness of the blocks. Finally, the fused image is rebuilt from the recombination of SIFI image blocks. The efficiency of the use of SIFS in multimodal medical image fusion is demonstrated on several pairs of images and the results are compared with existing studies in recent literature.

• Journal of the Korean Society of Fashion and Beauty
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• v.2 no.1 s.1
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• pp.21-33
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• 2004

The main focus of this study is to provide the interrelation about the defining fashion model image by the fashion trend since 1960. This is expressed as follows, First, in the 60s'; 1) Image of innocent dolly style, Jean Shrimpton 2) Image of sexual style, Celia Hammond 3) Image of art style with charicteristic mask, Peggy Moffitt 4) Image of immature boyish style, Twiggy. Second, in the 70s'; 1) Image of natural and intelligent style, Larun Hutton 2) Image of exotic style with black beauty, Imman 3) Image of graceful and sexal style, Veruschka 4) Image of glamour and sexual style, Jerry Hall. Third, in the 80s'; 1) Image of unisexual style with power, Grace Jones 2) Image of graceful and noble style, In`es de la Fressange 3) Image of healthy and sexy style, Christie Brinkley 4) Image of sexy style with good sense, super model. And fourth, in the 90s' and now; 1) Image of glamour sexual style with self-consciousness, Claudia Shiffer 2) Image of graceful style with dignity, Christy Turlington 3) Image of asexual and androginous style, Stella Tennant), 4)Image of Twiggy style with immature and slender, Kate Moss 5) Image of new glamour style, Giseel Bundchen 6) Image of new style with unique beauty, Amber Vaiietta 7)Image of exotic style, Devon Aoki 8) Extraordinary, image of various style. The result of thir study, fashion models image have played a role in transmitting the style of fashion trend in their relevancy. Anyway it can be said that fashion models imply figurative meanings of the fashion trend.

• Fashion & Textile Research Journal
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• v.10 no.3
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• pp.322-328
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• 2008

This study examined Korean college women's perceptions of their body image, ideal body, and body satisfaction. Five research questions assessed participants: 1) self-defined image, 2) ideal body image, 3) body dissatisfaction, 4) body satisfaction, and 5) perceptions of their friends' weight concerns. A convenience sample of 101 female college students participated in the study. Respondents' average age is 20.78, ranging from 18 to 36 years. Two approaches were used to define Korean college women's body image and body satisfaction: A scale of illustration showing nine females' body drawing, and a verbal scale for the satisfaction with body image. The findings revealed that Korean college women pursue "thinness." Although they were somewhat happy with their height, the development of their figure, and their overall good looks, they were significantly dissatisfied with their weight. These results indicate that Korean college women would benefit from positive body image education.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.799-802
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• 2017

We attempt to combines concepts of Morphological Operator(MO) and Convolutional Neural Networks(CNN) to improve image-to-image translation. To do this, we propose an operation that approximates morphological operations. Also we propose S-Convolution, an operation that extends the operation to use multiple filters like CNN. The experiment result shows that it can learn MO with big filter using multiple S-convolution layer of small filter. To validate effectiveness of the proposed layer in image-to-image translation we experiment with GAN with S-convolution applied. The result showed that GAN with S-convolution can achieve distinct result from that of GAN with CNN.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.79-82
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• 2015

Bag of visual words(BoVW) is one of the image classification and retrieval methods, using feature point that automatical sorting and searching system by image feature vector of data base. The existing method using feature point shall search or classify the image that user unwanted. To solve this weakness, when comprise the words, include not only feature point but color information that express overall mood of image or texture information that express repeated pattern. It makes various searching possible. At the test, you could see the result compared between classified image using the words that have only feature point and another image that added color and texture information. New method leads to accuracy of 80~90%.