• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.12
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• pp.1981-1989
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• 2008

Different people buy the same or similar products for different reasons. Benefit segmentation attempts to understand these differences by grouping together people who assign a similar level of importance to the same attributes. We focused on identifying market segments for knit fabrics by comparing the relative attribute preference for knit fabrics according to segmented clusters, and testing to establish if there were significant differences between the preferences of clusters. Three consumer segments emerged, and there were three clusters with different ideal knit profiles: a preferred wool group, a preferred acrylic group, and a preferred long stitch length group. The preferred wool group and the preferred acrylic group rated the mixture ratio as the main attribute that determined their preference, followed by the stitch length. The preferred long stitch length group considered stitch length as being the most important attribute, followed by the mixture ratio. The difference in the preferences for the mixture ratio and stitch length of knit fabrics was the highest between the three clusters, The preferred wool group preferred a knit fabric that has a greater wool mixture ratio and a short stitch length, and the preferred acrylic group and long stitch length group preferred a knit fabric that had a higher acrylic mixture ratio and a short stitch length.

• Culinary science and hospitality research
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• v.16 no.5
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• pp.103-117
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• 2010

This study investigated emotional-utilitarian motivation to visit a coffee shop and segmented the market based on motivational factors realizing that coffee is considered as emotional and utilitarian goods in reality. As a result of market segmentation, three groups were identified: emotional consumers, utilitarian consumers, and passive consumers. Choice attributes of visiting a coffee shop according to each group were found to be significantly different. Firstly, emotional consumers highly perceived the importance of the emotional factors such as 'coffee taste and mood', 'special coffee', 'clean space' and also the utilitarian factors such 'price benefit', 'internet access,' etc. Therefore, emotional consumers could be utilitarian one at the same time. On the other hand, utilitarian consumers were highly aware of the importance of 'independent space available for a group meeting', 'degrees of being crowded', and 'facilities such as a bathroom and smoking area.' As for the demographic and the behavioral factors of having coffee, only gender, types of coffee, time and places have a significant relation.

• Journal of the Korean Geographical Society
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• v.48 no.6
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• pp.978-993
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• 2013

It can be advantage as well as disadvantage to use the spatial weight matrix in a spatial regression model; it would benefit from explicitly quantifying spatial relationships between geographical units, but necessarily involve subjective judgment while specifying the matrix. We took Incheon City as a study area and investigated how the fitness of a spatial regression model changed by constructing various spatial weight matrices. In addition, we explored neighborhood segmentation in the study area and analyzed any influence of it on the model adequacy of two basic spatial regression models, i.e., spatial lagged and spatial error models. The results showed that it can help to improve the adequacy of models to specify the spatial weight matrix strictly, that is, interpreting the neighborhood as small as possible when estimating land price. It was also found that the spatial error model would be preferred in the area with serious spatial heterogeneity. In such area, we found that its spatial heterogeneity can be alleviated by delineating sub-neighborhoods, and as a result, the spatial lagged model would be preferred over the spatial error model.

• The KIPS Transactions:PartB
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• v.15B no.3
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• pp.205-210
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• 2008

A new approach is proposed for restoration of corrupted regions and segmentation in natural text images. The challenge is to fill in the corrupted regions on the basis of color feature analysis by second order symmetric stick tensor. It is show how feature analysis can benefit from analyzing features using tensor voting with chromatic and achromatic components. The proposed method is applied to text images corrupted by manifold types of various noises. Firstly, we decompose an image into chromatic and achromatic components to analyze images. Secondly, selected feature vectors are analyzed by second-order symmetric stick tensor. And tensors are redefined by voting information with neighbor voters, while restore the corrupted regions. Lastly, mode estimation and segmentation are performed by adaptive mean shift and separated clustering method respectively. This approach is automatically done, thereby allowing to easily fill-in corrupted regions containing completely different structures and surrounding backgrounds. Applications of proposed method include the restoration of damaged text images; removal of superimposed noises or streaks. We so can see that proposed approach is efficient and robust in terms of restoring and segmenting text images corrupted.

• Journal of Distribution Science
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• v.14 no.7
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• pp.101-114
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• 2016

Purpose - The aim of this study is to investigate the benefit-sharing activities. They affect contract renewal intention between franchisers and franchisees that are linked through a contract with the intention of building their relationship from the level based on dynamic trust. This study will show a new approach on qualitative growth and consolidation of competitive power and may well be able to suggest practical ways to strengthen directions in the field of franchise industries. Research design, data, and methodology - In this study, based on literature review, we separated logistical-supporting activities and non-logistical-supporting activities from benefit-sharing activities. We modeled how benefit-sharing activities influence contract renewal intention of franchisees by dynamic trust. In particular, considering the possibility of trading concepts and characteristics of trust between providers opportunistic behaviors was defined as variables, depending on the situation and dynamic characters reveal their relationship trust concept. That is, dynamic trust having the possibility of changing depending on opportunistic risks and interdependencies by Lewis & Weigert(1985, 2012) was classified into transitional-based trust, calculated based trust, relational-based trust and balance-based on trust. The total of 104 samples from domestic franchisees being with franchisees were collected by using a structural composed questionnaire. Results - The results are as following. Benefit-sharing activities in logistical supporting activities appeared to affect the multidimensional concept of transitional trust, calculated based on trust, relationship-based trust and balance based on trust dynamic trust with all-defined impact. Non-logistical supporting activities appeared to affect significantly the positive (+) to the dynamic trust concept except transitional trust. Lewis & Weigert(1985; 2012) have proposed a dynamic confidence calculated from relations within-based trust relationship based on trust appears to affect the significant positive (+) to the balance-based confidence transactions confidence mechanism of the system side in the verified relationship. Finally, a relationship based on trust and confidence in the balance based on the Influence of dynamic renewed confidence showed significantly affect the positive(+). In particular, the balance based trust showed the acts as a mediating factors between relational trust and confidence and renew calculated. Conclusion - From the above these results, the significance from this study is as following. First, the proposed activity is to share and validate the approach by identifying the potential in the relationship from the contract with building dynamic trust, and one of the ways from the franchise headquarters and affiliated merchants mutual growth through win-win cooperation in sharing activities. Next, the dynamic segmentation confidence to suggest the possibility can be broken down over the validity and reliability test for each concept. In addition, by identifying the relationship between the dynamic level of confidence granular multi-dimensional concept, to determine the level of trust with a dynamic relationship between risk and interdependencies can be possible in franchise industries. In order to maintain and develop their mutual relationship, franchise industries should propose confidence-building steps to promote their quality improvement.

• The Journal of Society for e-Business Studies
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• v.20 no.1
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• pp.99-115
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• 2015

This study aims to classify the pursuit benefits of smart-phone users, to find smart-phone market segments by pursuit benefits, and to analyze the relative importances of smart-phone attributes according to the smart-phone market segments. As a result, we found that smart-phone users are pursuing the network benefit as well as the two traditional benefits (the utilitarian benefit and the hedonic benefit). According to the levels of these three pursuit benefits, smart-phone users can be classified into four segments : All Benefits Cluster, Utilitarian-Network Benefits Cluster, Hedonic-Network Benefits Cluster, and Non-Network Benefits Cluster. We also verified that, according to the four smart-phone user segments by the pursuit benefits, there exist significant differences in relative importances of the seven smart-phone attributes : hand-set price, hand-set brand, hand-set speed, applications, tariff, mobile internet quality, and number of same service users.

• Journal of KIISE
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• v.43 no.5
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• pp.562-568
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• 2016

Point cloud data can be expressed in a specific coordinate system of a data set with a large number of points, to represent any form that generally has different characteristics in the three-dimensional coordinate space. This paper is aimed at finding a cylindrical pipe in the point cloud of the three-dimensional coordinate system using RANSAC, which is faster than the conventional Hough Transform method. In this study, the proposed cylindrical pipe is estimated by combining the results of parameters based on two mathematical models. The two kinds of mathematical models include a sphere and line, searching the sphere center point and radius in the cylinder, and detecting the cylinder with straightening of center. This method can match cylindrical pipe with relative accuracy; furthermore, the process is rapid except for normal estimation and segmentation. Quick cylinders matching could benefit from laser scanning and reverse engineering construction sectors that require pipe real-time estimates.

• The KIPS Transactions:PartB
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• v.10B no.4
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• pp.429-442
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• 2003

In this paper, we describe an address image recognition system for automatic processing of standard- size letter mail. The inputs to the system are gray-level mail piece images and the outputs are delivery point codes with which a delivery sequence of carrier can be generated. The system includes five main modules; destination address block location, text line separation, character segmentation, character recognition and finally address interpretation. The destination address block is extracted on the basis of experimental knowledge and the line separation and character segmentation is done through the analysis of connected components and vortical runs. For recognizing characters, we developed MLP-based recognizers and dynamical programming technique for interpretation. Since each module has been implemented in an independent way, the system has a benefit that the optimization of each module is relatively easy. We have done the experiment with live mail piece images directly sampled from mail sorting machine in Yuseong post office. The experimental results prove the feasibility of our system.

• The Korean Journal of Applied Statistics
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• v.21 no.4
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• pp.639-647
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• 2008

This study used the characteristics of the knowledge discovery and data mining algorithms to develop tailored hypertension follow up management model - hypertension care predictive model and hypertension care compliance segmentation model - for hypertension management using the Korea National Health Insurance Corporation database(the insureds’ screening and health care benefit data). This study validated the predictive power of data mining algorithms by comparing the performance of logistic regression, decision tree, and ensemble technique. On the basis of internal and external validation, it was found that the model performance of logistic regression method was the best among the above three techniques on hypertension care predictive model and hypertension care compliance segmentation model was developed by Decision tree analysis. This study produced several factors affecting the outbreak of hypertension using screening. It is considered to be a contributing factor towards the nation’s building of a Hypertension follow up Management System in the near future by bringing forth representative results on the rise and care of hypertension.

• Journal of the Korea Fashion and Costume Design Association
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• v.19 no.1
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• pp.71-90
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• 2017

The purpose of this study is to identify the characteristics of currently targeted consumers of the fashion enterprises. It also aims to assess the value of consumer-related variables that are related to market segmentation. In order to identify the characteristics of targeted consumers, the contents of brand concept and target of 143 brands for women's clothing, and 79 brands for men's clothing were qualitatively analyzed. The results are as follows. First, the demographic characteristics of both male and female included the desire to appear younger, and be more youthful in sensibilities than their actual age. In terms of occupation, male had more variety and concreteness than female. Male and female were above middle class, with an emphasis on being a part of the new generation, one that is young, free, healthy, and leisurely. Second, the psychological and behavioral characteristics of both male and female consumers included the benefit sought of the following: rationality, economy, practicality, functionality, individuality, fashionability, and aesthetics. Their fashion orientations were found to be practical, rational, fashionable, expressive of individual style, and aesthetic sensibilities. Their lifestyles were characterized by elements such as rationality, smartness, urban, active, healthy, young, leisurely, and stable. In terms of the spirit, female had a tendency to be intelligent, elegant, and sensitive, while also being self-reliant, self-disciplined, and unafraid of challenging situations. The male consumers had a tendency to be rational, progressive, passionate, and embracing change, with emphasis on legitimacy, honor, success, pride, and affluence. Third, the usefulness of consumer-related variables in targeting consumers was different according to male and female. These results show that there is a need for these variables to be looked at more closely during market segmentation process. This research may be used as base material in setting up the brand concept and the target market.