• Korean Journal of Social Welfare
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• v.63 no.4
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• pp.109-130
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• 2011

The purpose of this study is to examine segmenting the effect on the school resilience of the poor children by children's satisfaction in using Community Child Center. For this purpose, we conducted a questionnaire survey with 275 elementary school students on the 3rd-6th graders, using Community Child Center in Cheongju City. As a result, User Satisfaction of Community Child Center gave meaningful affection to school life among school resilience. Children using Community Child Center who are satisfied with friendships and cognitive activity program gave meaningful affection of study and school grade by statistics. Also, it shows According to School Resilience(interest and attitude), Children using Community Child Center should be divided to 4groups, and providing services need to concern the characteristics of each children group.

• The Journal of the Convergence on Culture Technology
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• v.6 no.3
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• pp.437-442
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• 2020

Since the advent of the innovative information technology called the Internet, the dynamism of the information environment has brought about changes in information users' needs and behavior. It is essential to understand information users in this rapidly changing environment, and based on this, it is necessary to effectively build and operate an information service and a system therefor. The purpose of this study is to understand the characteristics according to the segmentation of users of the National Science and Technology Information Service System, and to derive improvements to customized services and content development through research and analysis of content usage. A total of 816 science and technology information service system users participated in online surveys from September to November. Collected data is applied to factor analysis and cluster analysis techniques to subdivide users of science and technology information service systems, to recognize new information technologies and information services, science technology information needs, and science and technology attributes that users consider important. We derived the results according to the segmented user group.

• Korean Business Review
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• v.14
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• pp.129-148
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• 2001

The purpose of this study is to survey the LOV(List Of Values) composed with the consumer's psychographic variables and is to segment consumer's value system through the LOV. Referring to the previous studies such as Rokeach's RVS, Kahke's LOV, Razzaque's Asian values, and author's Korean values, this study conducted researches of consumer's value segmentation. The result of this study finds that the Korean consumer's value system is categorized into (1) value of influence, (2) value of mammonism, (3) value of latest, (4) value of venture, (5) value of salvation, (6) value of sociality, (7) value of curiosity, (8) spirituality, and (9) value of conservativeness in order. This results will help contribute toward segmentation of Korean consumer's value. Another result of this study shows by way of ANOVA(analysis of variance) that the Korean consumer's value dimensions are closely related to demographic variables: sex, marital status, education, occupation, total families income by monthly, family structure, and age.

• Journal of Digital Contents Society
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• v.18 no.8
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• pp.1635-1640
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• 2017

In this paper, a hierarchical image tree model for weather classification is defined in a single outdoor image, and a weather classification algorithm using image intensity and k-mean segmentation image is proposed. In the first level of the hierarchical image tree model, the indoor and outdoor images are distinguished. Whether the outdoor image is daytime, night, or sunrise/sunset image is judged using the intensity and the k-means segmentation image at the second level. In the last level, if it is classified as daytime image at the second level, it is finally estimated whether it is sunny or foggy image based on edge map and fog rate. Some experiments are conducted so as to verify the weather classification, and as a result, the proposed method shows that weather features are effectively detected in a given image.

• International Area Studies Review
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• v.13 no.2
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• pp.770-788
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• 2009

This paper attempts to develop STP Strategy of EXPO 2012 Yeosu for attracting tourists. STP in marketing strategy refers to the process of market segmentation, market targeting, and positioning. I tested four demographic variables(age, occupation, nationality, and sex) to segment the market or the visitors of EXPO 2012 Yeosu effectively. The statistical result shows that age, occupation, and nationality are significant. Based on the three demographic factors and the visitor's purpose, I classified the expected visitors of EXPO into 12 groups, and selected 6 targeted groups: a group of Korean students with the purpose of study, a group of Korean professionals with the purpose of business, a group of foreign students with the purpose of study, a group of foreign professionals with the purpose of business, a group of Korean people in general with the purpose of tourism, and a group of foreign people in general with the purpose of tourism. In this paper, I have suggested a differentiated marketing mix for six targeted groups each.

• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.21-36
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• 2022

Recently, as COVID-19 has made the e-commerce market expand widely, customers who have different consumption patterns appear in the market. Because companies can obtain opinions and information of customers from reviews, they increasingly face the requirements of managing customer reviews on online platform. In this study, we analyze customers and carry out market segmentation for classifying and defining type of customers in e-commerce. Specifically, K-means clustering was conducted on customer review data collected from Wemakeprice online shopping platform, which leads to the result that six clusters were derived. Finally, we define the characteristics of each cluster and propose a customer management plan. This paper is possible to be used as materials which identify types of customers and it can reduce the cost of customer management and make a profit for online platforms.

• Korea Science and Art Forum
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• v.23
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• pp.17-26
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• 2016

This study was to segment The 2014 Korean Medicine-Bio Fair visitors based on fair quality factors. From the on-site survey at the destination, a total of 308 useful sample were collected and analyzed in SPSS 21.0. From factor analysis, the result shows 5 quality types of 'fair product', 'convenient facilities', 'accessibility', 'promotional information' and 'contents.' Also Three different segmented groups were derived form clusters analysis, which are 'accessibility preference group', 'promotion preference group', and 'high quality preference group.' The result of this study indicated that there were significant differences in demographic, satisfaction and behavioral variables between these three segments. More theoretical and practical implication were discussed in the conclusion section.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.571-580
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• 2022

Marine deposited waste is a major cause of problems such as a lot of damage and an increase in the estimated amount of garbage due to abandoned fishing grounds caused by ghost fishing. In this paper, we implement a real-time marine deposited waste detection artificial intelligence system to understand the actual conditions of waste fishing gear usage, distribution, loss, and recovery, and study methods for performance improvement. The system was implemented using the yolov5 model, which is an excellent performance model for real-time object detection, and the 'data screening process' and 'class segmentation' method of learning data were applied as performance improvement methods. In conclusion, the object detection results of datasets that do screen unnecessary data or do not subdivide similar items according to characteristics and uses are better than the object recognition results of unscreened datasets and datasets in which classes are subdivided.

• Journal of Korea Technology Innovation Society
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• v.10 no.1
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• pp.73-97
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• 2007

R&D into future technologies should be conducted in conjunction with technological innovation strategies that are linked to corporate survival within a framework of information and knowledge-based competitiveness. As such, future technology strategies should be ensured through open R&D organizations. The development of future technologies should not be conducted simply on the basis of future forecasts, but should take into account customer needs in advance and reflect them in the development of the future technologies or services. This research aims to select as segmentation variables the customers' attitude towards accepting future telecommunication technologies and their value orientation in their everyday life, as these factors wilt have the greatest effect on the demand for future telecommunication services and thus segment the future telecom service market. Likewise, such research seeks to segment the market from the stage of technology R&D activities and employ the results to formulate technology development strategies. Based on the customer attitude towards accepting new technologies, two groups were induced, and a hierarchical customer segmentation model was provided to conduct secondary segmentation of the two groups on the basis of their respective customer value orientation. A survey was conducted in June 2006 on 800 consumers aged 15 to 69, residing in Seoul and five other major South Korean cities, through one-on-one interviews. The samples were divided into two sub-groups according to their level of acceptance of new technology; a sub-group demonstrating a high level of technology acceptance (39.4%) and another sub-group with a comparatively lower level of technology acceptance (60.6%). These two sub-groups were further divided each into 5 smaller sub-groups (10 total smaller sub-groups) through two rounds of segmentation. The ten sub-groups were then analyzed in their detailed characteristics, including general demographic characteristics, usage patterns in existing telecom services such as mobile service, broadband internet and wireless internet and the status of ownership of a computing or information device and the desire or intention to purchase one. Through these steps, we were able to statistically prove that each of these 10 sub-groups responded to telecom services as independent markets. We found that each segmented group responds as an independent individual market. Through correspondence analysis, the target segmentation groups were positioned in such a way as to facilitate the entry of future telecommunication services into the market, as well as their diffusion and transferability.

• Journal of Digital Convergence
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• v.11 no.8
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• pp.205-212
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• 2013

In this paper, we present a procedural modeling algorithms to create Korean traditional stone fence using the fractal subdivision. The main process of the algorithm is to get the next step mesh by subdividing each triangle in the previous step triangular mesh. This process is repeated recursively. Dividing each triangle into four sub-triangles after choosing a random point on each side of the triangle and moving each vertices in the normal direction with random perturbations make the bumpy appearance of stone fences. In each step we remove flat vertices which does not influence the shape of the stone. The discrete curvature determines the flatness of a vertex. New triangles whose vertices are the vertices around the removed vertex are added to make a triangular mesh.