• Journal of Distribution Science
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• v.17 no.2
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• pp.35-42
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• 2019

Purpose - There is little research on the market of foreign infant education materials. So, it is needed to deeply examine the development and preference factors of foreign infant education materials. Therefore, this study presents a future method and model for analyzing the important variables of buying foreign infant education materials. Research design, data, and methodology - The conjoint analysis method and model of this paper is used as follows. Conjoint analysis method is possible to derive the attributes to be analyzed through the model of the preferred factors, and then to derive the sub-attributes of the attributes. Results - This study derived preference attributes between brand benefit, equity (brand image, loyalty, awareness), distribution network (department store, specialty stores, discount store, internet mall), and service quality (tangibles, reliability, responsiveness, assurance, empathy) in infant education materials conjoint model. Conclusions - Since the opening of the education market in Korea, parents have a high education level due to low birth rate. The advantages of the conjoint analysis method have been extended to the study of infant education materials. Based on this, this paper will identify important attributes that are considered in preference of foreign infant education materials and help to establish and implement future marketing strategies.

• The Research Journal of the Costume Culture
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• v.28 no.5
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• pp.705-718
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• 2020

The goal of this study was to develop a haptic communication system that can convey the tactile sensation of fashion materials in a virtual environment. In addition, the effectiveness and how realistically the virtual fabric image of this system delivers the tactile sensation of actual fabric was verified. First, a literature review was conducted through which the tactile attributes of fashion materials were defined that would be implemented in the haptic communication system. Then, a questionnaire for evaluating the tactile attributes of fashion materials was developed. Next, a haptic communication system was designed to convey fashion image experiences in a virtual environment, from which a haptic rendering model was suggested. The effectiveness of the haptic communication system was evaluated by verifying user experiences with questions developed through a user evaluation experiment. The validity of the evaluation questions pertaining to the tactile attributes and the effects of the haptic communication system were verified. Factor analysis was conducted to verify the evaluation of the tactile sense attributes of the fashion material, which identified density, thickness, and elasticity of the material as key factors. As a result of comparisons between the tactile sense through haptic characteristics and through touching, it was observed that regarding density and thickness, tactile sense experience led to greater perceived reality, while this was not the case for elasticity.

• International Area Studies Review
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• v.16 no.1
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• pp.353-378
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• 2012

The main purpose of this paper is to analyze the influence of selection attributes of convention center on participant's satisfaction. Specially, this study is focusing on the moderating effects of city image and city attractiveness. In the dimensions of convention center selection attributes, many factors affect participant satisfaction can be assumed that. They are categorized as seven factors; main facilities, subsidiary facilities, operations management, human services, board and lodging, accessibility, and peripheral conditions. The data was collected from 260 foreigners who visited the Shanghai convention center in China. 237 respondents were analyzed via intercept survey based on self-administered questionaries. The results of this study supported the proposed conceptual framework overall. The findings indicate that first, main facilities, subsidiary facilities, human services, accessibility, and peripheral conditions affected positively participant's satisfaction. Second, the high level city image and city attractiveness have moderating effect between some selection attributes of convention center and participant's satisfaction.

• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.533-538
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• 2001

In this paper, we extend FARGs single mode attribute to multiple attributes for real image application and present a new CBIR using FMARG(Fuzzy Multiple Attribute Relational Graph), which can handle queries involving multiple attributes, not only object label, but also color, texture and spatial relation. In the experiment using the synthetic image database of 1,024 images and the natural image database of 1.026 images built from NETRA database and Corel Draw, the proposed approach shows 6~30% recall increase in the synthetic image database and a good performance, at the displacements and the retrieved number of similar images in the natural image database, compared with the single attribute approach.

• Journal of Distribution Science
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• v.11 no.12
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• pp.39-49
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• 2013

Purpose - This study attempts to examine the underlying dimensions of service quality (tangibility, reliability, responsiveness, assurance, and empathy) for low-cost carriers. It subsequently seeks to determine the effect of the relationships of the dimensions of service quality, airline image, and behavioral intentions on airline services to provide adequate basic information and attributes for developing differentiated and competitive service marketing strategies. Research design, data, and methodology - The survey for this study was conducted on patrons with low-cost carrier boarding experiences in districts near universities and central businesses of Seoul and Busan from 5/10/2012 to 16/10/2012. Out of 346 questionnaires, 20 questionnaires with missing data and insincere answers were excluded for this study. Collected data were processed using SPSS 18.0, and the hypothesis was verified by analyzing the structural equation model with Lisrel 8.54. First, the frequency analysis was conducted to identify universal characteristics. Second, the exploratory factor analysis and reliability analysis were conducted to identify the accuracy of the variable measurements of the construct. Third, to assess uni-dimensionality and reliability, confirmatory factor analysis was conducted. Finally, to verify the adequacy of the research model and research hypothesis, the structural model was employed. Results - The results revealed that the factors, "tangibility, reliability, responsiveness, assurance, and empathy" were shown to be the most important dimensions of service quality for the airline image of the low-cost carrier which was consistent with previous studies. Therefore, it is fair to suggest that these verified factors are crucial attributes for the brand image of low-cost carriers. Second, as reliability and responsiveness were shown to be the most important factors for behavioral intentions, it is viable to suggest that these two attributes are crucial for the sales value of low-cost carriers. Further, it was found that the brand image of low-cost carriers was closely related to behavioral intentions. Therefore, in order to ensure the competitiveness and loyalty of patrons, the airline image value is a crucial attribute. Conclusions - The result of this study established that service quality is the most important attribute for marketing to ensure competitiveness, and intensive and differentiated service marketing play a crucial role in creating profits for low-cost carrier companies. First, as tangibility is found to be the most crucial factor in ensuring service quality, quality control and maintenance of medium and small carriers must be provided to ensure reliability, as they are the main attributes of low-cost carriers. Second, in order to promote positive behavioral intentions, it is essential to enhance the value of airline image. Third, in order to ensure competitiveness, it is imperative to carry out intensive and differentiated service marketing. Therefore, to promote the image of low-cost carriers and enhance behavioral intentions, the level of service quality must be secured by developing appropriate service improvement programs.

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.63-69
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• 2020

Image-image translation is a technology that creates a target image through input images, and has recently shown high performance in creating a more realistic image by utilizing GAN, which is a non-map learning structure. Therefore, there are various studies on image-to-image translation using GAN. At this point, most image-to-image translations basically target one attribute translation. But the data used and obtainable in real life consist of a variety of features that are hard to explain with one feature. Therefore, if you aim to change multiple attributes that can divide the image creation process by attributes to take advantage of the various attributes, you will be able to play a better role in image-to-image translation. In this paper, we propose Multi CycleGAN, a dual attribute transformation structure, by utilizing CycleGAN, which showed high performance among image-image translation structures using GAN. This structure implements a dual transformation structure in which three domains conduct two-way learning to learn about the two properties of an input domain. Experiments have shown that images through the new structure maintain the properties of the input area and show high performance with the target properties applied. Using this structure, it is possible to create more diverse images in the future, so we can expect to utilize image generation in more diverse areas.

• The Korean Journal of Food & Health Convergence
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• v.9 no.1
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• pp.11-18
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• 2023

This study aims to examine the relationship between customer satisfaction and revisit intention according to the selected attributes of dessert cafes in Korea. Additionally, we would like to provide useful data to maintain a continuous competitive advantage by comprehensively reviewing the effective operation of dessert cafes and strategic plans and methods to identify customer needs in the rapidly spreading competitive environment of the domestic dessert restaurant industry in Korea. A qualitative analysis method was applied through a literature review on satisfaction and revisit according to the selected attributes of dessert cafes, and data using theoretical backgrounds obtained through web searches and existing cases. As a result, dessert quality and convenience showed inconsistent results, and coffee quality was found to have a statistically significant positive (+) effect in various data. Moreover, various attributes such as service, image, price, diversity, and service had a significantly positive (+) effect, and satisfaction with dessert cafes also had a significantly positive (+) effect on revisit intention. In conclusion, dessert cafe managers should develop various desires that reflect consumers' tastes and are competitive so that customers can revisit dessert cafes, which requires more in-depth analysis by obtaining a more systematic sample group in the future.

• Journal of Information Technology Applications and Management
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• v.15 no.1
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• pp.1-20
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• 2008

This study aims to identify factors affecting the purchase of Korean IT products in overseas markets. The empirical investigation on Chinese and Japanese, which are major overseas markets of Korean IT products and within Korean wave of influence, ascertains that they have had experiences in purchasing Korean IT products such as MP3, hand held phone, and digital camera. In addition, it was revealed that the country image of Korea and valuation of Korean IT products have been enhanced by Korean wave. The result of multiple regression analysis shows that the purchase of Korean IT products is dependent upon social influence, country image, product attributes, preference on Korean wave, and cultural influence. In the separated hypotheses test of China and Japan, the same factors are found to be significant variables affecting the purchase of Korean IT products but practicality, innovativeness, and norms of consumers are found to be significant only in Chinese market. These results imply what should be considered to expedite the export of Korean IT products. In particular, this study finds different factors affecting the purchase of Korean IT products in different countries.

• International Commerce and Information Review
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• v.19 no.2
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• pp.109-141
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• 2017

Recently, by increasing the importance of the western China as consumer market, the need for a systematic and scientific study of the western Chinese consumers has been raised. This study researches how country image and product attributes as well as brand personality influence the western Chinese consumers' selection of Korean products. This study used the data which were collected through survey of adult consumers residing at six city of western China on Korean products' selection. Then the results are used for statistical analysis. The empirical findings are as follows: country image and product attributes as well as brand personality influence on the western Chinese consumers' selection of Korean products although there exist difference. Among three factors, the western Chinese consumers have most influences by product attributes. And brand personality in relation to its symbolic aspect has an important influence on the western Chinese consumer's Korean products selection. This study has presented the main implications of the preferred marketing strategies for Korean enterprises in the western China on the basis of these research results.

• Journal of Korea Multimedia Society
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• v.10 no.7
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• pp.856-868
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• 2007

We propose an effective method for block classification in a document image. The gray level document image is converted to the binary image for a block segmentation. This binary image would be smoothed to find the locations and sizes of each block. And especially during this smoothing, the inner block heights of each block are obtained. The gray level image is divided to several blocks by these location informations. The SGLDM(spatial gray level dependence matrices) are made using the each gray-level document block and the seven second-order statistical texture features are extracted from the (0,1) direction's SGLDM which include the document attributes. Document image blocks are classified to two groups, text and non-text group, by the inner block height of the block at the nearest neighbor rule. The seven texture features(that were extracted from the SGLDM) are used for the five detail categories of small font, large font, table, graphic and photo blocks. These document blocks are available not only for structure analysis of document recognition but also the various applied area.