• The KIPS Transactions:PartD
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• v.13D no.7 s.110
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• pp.1017-1026
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• 2006

Recently, distributed collaborative development environment has been recognized an alternative environment for product development in which multidisciplinary participants are naturally involving. Reuse of Product design information has long been recognized as one of core requirements for efficient product development. This paper addresses an image-based retrieval system to support product design information reuse. In the system, product images obtained from multi-modal devices are utilized to reuse design information. The proposed system conducts the segmentation of a product image by using a labeling method and generates an attributed relational graph (ARG) that represents properties of segmented regions and their relationships. The generated ARG is extended by integrating corresponding part/assembly information. In this manner, the reuse of assembly design information using a product image has been realized. The main advantages of the presented system are following. First, the system is not dependent to specific design tools, because it utilizes multimedia images that can be obtained easily from peripheral devices. Second ratio-based features extracted from images enable image retrievals that contain various sizes of parts. Third, the system has shown outstanding search performance, because we applied various information of segmented part regions and their relationships between parts.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.6
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• pp.1282-1287
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• 2005

The accuracy of chip alignment in inferior product inspection of COG(Chip On Glass) to be measured a few micro unit is very important role since the accuracy of chip inspection depends on chip alignment. In this paper, we propose the area segmentation pattern matching method to enhance the accuracy of chip alignment. The area segmentation pattern matching method compares, and matches correlation coefficients between the characteristic features within the detailed area and the areas. The three areas of pattern circumference are learned to minimize the matching error by bad pattern. The proposed method has advantage such as reduction of matching time, and enhanced accuracy since the characteristic features are searched within the segmented area.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.6
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• pp.601-611
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• 2003

The main objective of this study was to investigate the relationship between benefits segmentation and knitwear purchasing behavior of college female students. A questionnaire was developed to measure benefits segmentation, knit wear purchasing behavior. The questionnaire was administered to 505 college female students in Chonbuk and Chonnam. The data was analyzed using percentage, frequency, mean, factor analysis, cluster analysis and ANOVA, Duncan multiple range test. The results of the study were as follows: The college female students were classified into four subdivisions by the cluster analysis: recreation pursuit group, fashion pursuit group, individuality pursuit group, self-improvement pursuit group on the basis of pursuit benefit factors. The knitwear purchasing motives of consumers were significantly different according to pursuit benefit subdivision. The individuality pursuit group was the highest user of mass media fashion information sources. The fashion pursuit group used purchasing experience and advice of others less than other groups. Consumers' evaluation criteria of knitwear products were significantly different depending on pursuit benefit subdivision in design and coordination, goods traits, practicality, individual expression, and external criterion. The other groups used purchasing experience and advice of others more than the fashion pursuit group.

• Journal of the Korean Operations Research and Management Science Society
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• v.21 no.1
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• pp.51-69
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• 1996

We consider a consumer self-selection model in which a regulated firm faces two market segments with differing valuation of quality of telecommunication services and examine some economic implications from the behaviors of the firm. In the context of a regulated monopolist, even though the results depend on the degree of privatization, the firm could lower the quality of the low-end model and reduce the price of the high-end in order to alleviate cannibalization. This justifies the provision of universal service policy in the telecommunications market. Based on this self-selection model, we also analyze an extended model of product introduction and show that the monopolist will introduce new product with the same introduction time of social planner. However, when we consider competition among firms, the market equilibrium may not guarantee the efficient time of product introduction.

• Journal of Information Technology Applications and Management
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• v.12 no.3
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• pp.41-56
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• 2005

Product recommender system is one of the most popular techniques for customer relationship management. In addition, collaborative filtering (CF) has been known to be one of the most successful recommendation techniques in product recommender systems. However, CF has some limitations such as sparsity and scalability problems. This study proposes hybrid cluster analysis and case-based reasoning (CBR) to address these problems. CBR may relieve the sparsity problem because it recommends products using customer profile and transaction data, but it may still give rise to scalability problem. Thus, this study uses cluster analysis to reduce search space prior to CBR for scalability Problem. For cluster analysis, this study employs hybrid genetic and K-Means algorithms to avoid possibility of convergence in local minima of typical cluster analyses. This study also develops a Web-based prototype system to test the superiority of the proposed model.

• Asia-Pacific Journal of Business
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• v.10 no.2
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• pp.43-64
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• 2019

Same as other product brands, it is very important for jewelry brands to correctly identify customer characteristics, and seek high level service quality, and develop products that can set apart from competitions in order to increase customer satisfaction and strengthen repurchase intention. This study, in consideration of these pruduct characteristics, aims to verify whether service quality and/or product traits impact customer satisfaction. In addition, the study investigates whether customer trait plays a role of moderator in its effect on customer satisfaction. Finally, the study provides useful theoretical and practical implications on customer segmentation strategies that are contingent upon customer characteristics.

• International Journal of Contents
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• v.10 no.4
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• pp.1-10
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• 2014

In this paper, we propose a method to build an accurate initial trimap for the GrabCut algorithm without the need for human interaction. First, we identify a rough candidate for the label region of a bottle by applying a saliency map to find a salient area from the image. Then, the Hough Transformation method is used to detect the left and right borders of the label region, and the k-means algorithm is used to localize the upper and lower borders of the label of the bottle. These four borders are used to build an initial trimap for the GrabCut method. Finally, GrabCut segments accurate regions for the label. The experimental results for 130 wine bottle images demonstrated that the saliency map extracted a rough label region with an accuracy of 97.69% while also removing the complex background. The Hough transform and projection method accurately drew the outline of the label from the saliency area, and then the outline was used to build an initial trimap for GrabCut. Finally, the GrabCut algorithm successfully segmented the bottle label with an average accuracy of 92.31%. Therefore, we believe that our method is suitable for product label recognition systems that automatically segment product labels. Although our method achieved encouraging results, it has some limitations in that unreliable results are produced under conditions with varying illumination and reflections. Therefore, we are in the process of developing preprocessing algorithms to improve the proposed method to take into account variations in illumination and reflections.

• Journal of the Korean Home Economics Association
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• v.37 no.4
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• pp.41-58
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• 1999

The purposes of this study were 1) to segment the market based on purchase frequency of products such as apparel, food, home electronics, life commodity in department store and low-price retailing, 2) to identify differences among segments in belief and attitude toward each store, purchase frequency of apparel items in each store and demographic variables. The data were collected via a self-administered questionnaire from 274 married women living in Seoul, Korea and analyzed by factor analysis, cluster analysis, one-way ANOVA and x$^2$-test. The results of this study were as follows: First, using cluster analysis on purchase frequency of products in each store, four groups were identified and labeled as department store patronage/ non-purchasers of apparel in low-price retailing(25.2%), purchasers of apparel in department store and low-price retailing(16.8%), low-price retailing patronage(30.3%) and non-purchasers of products in department store and low-price retailing(27.0%). Second, a series of one-way ANOV As revealed significant differences among four segments on beliefs of low-price retailing(four store attributes: price and variety of apparel product, facilities for convenient shopping, promotion, brand-reputation and fashionability of apparel product) and department store(three store attributes: price and variety of apparel product, facilities for convenient shopping and promotion) and attitude toward low-price retailing and department store. Attitude toward each store was yielded using Fishbein's multiattributes model. There were also significant differences among groups in purchase frequency of seven apparel items in low-price retailing and six apparel items in department store, and six demographic and personal variables(age, educational status, type of husband's occupation, monthly income and housing). Finally, the papers discussed manageral implications for each segments as well as theoretical implications.

• Korean Journal of Human Ecology
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• v.24 no.4
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• pp.587-601
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• 2015

The purposes of this study were to segment outdoor wear market based on consumer knowledge and consumer demand for function/design development, and to examine the differences of demographic characteristics and purchase behavior among the segmented markets. Data were collected using a questionnaire survey. Respondents were adults aged over 20 and who have experiences of purchasing outdoor wear. The survey was made up of the questions on consumer knowledge to outdoor wear, consumer demand for product development, purchase behavior, and demographic characteristics. Frequency analysis, descriptive analysis and chi-squared test were used to conduct the data analysis on 454 questionnaires. The results of this study were as follows. It showed that the consumer knowledge was a little high and the consumer demands for function/design development were high. Six segmented markets based on consumer knowledge and consumer demand for function development were significantly different in terms of gender, income, purchase frequency and total item holdings. Also, six segmented markets based on consumer knowledge and consumer demand for design development were significantly different in terms of age, income, purchase frequency, purchase objective, purchase place and total item holdings. Compared to the segmented markets based on the consumer demands for product development, the gender was the key of the marketing strategies for the segmented markets by the consumer demand for function development while the age was the one in the markets by the consumer demand for design development. After considering all the results, the characteristics of the segmented markets were made out and the marketing strategies were established.

• Journal of Biomedical Engineering Research
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• v.44 no.1
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• pp.41-52
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• 2023

With the international change in the medical device market owing to the development of innovative medical engineering and the use of various raw materials, a systematic and rational medical device classification system is needed to safely manage newly developed medical devices. This study aims to improve the domestic medical device classification system by proposing product establishment and segmentation. It is based on medical device products from the United States and Europe that are only available in foreign systems and are more subdivided than domestic products. This study analyzes and compares the domestic and foreign medical device classification systems by examining laws, guidelines, and analysis reports in Korea, the United States, and Europe. In accordance with product establishment and segmentation criteria, products subject to improvement are presented. This study contributes to safely managing medical devices that do not fit with the current classification system and to solving the confusion caused by the lack of international harmony in product classification systems.