• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.1030-1040
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• 2014

The purpose of this study is to examine the relationship among image making education, self-esteem and education satisfaction using airline service department in the university. In this study, 2 hypotheses based on literature reviews were employed. Questionnaire was also developed based on previous studies. A convenience sample of 240 students was surveyed and 218 usable questionnaires were analyzed. According to the exploratory factor analysis, image making education was divided into 'external image education', 'basic character education' and 'manner education'. Self-esteem, on the other hand, was categorized into the following variables: 'sense of value' and 'esteem' accordingly. Then the data and hypotheses were examined using structural equation modeling (SEM) by AMOS. The results are as follows. Firstly, 'external image' and 'manner education' have positive effect on 'sense of value' while manner education has effect on 'esteem'. Secondly, 'sense of value' and 'esteem' factor have positive effects on education satisfaction. Hence continuous and systematic education should be conducted to administer 'image making curriculum'. Self-esteem should also be taught in schools to encourage student's satisfaction on education. The contribution and limitations of this research were discussed and the future possible researches were mentioned.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.178-187
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• 2018

This study aimed to develop a model of the program for automation measuring the preference of the portraits based on the relationship between the image quality factors and the preferences in the portraits for manufacturers aiming at high utilization of the users. in order to proceed with the evaluation, the image quality measurement was divided into objective and subjective items, and the evaluation was done through image processing and statistical methods. the image quality measurement items can be divided into objective evaluation items and subjective evaluation items. RSC Contrast, Dynamic Range and Noise were selected for the objective evaluation items, and the numerical values were statistically analyzed and evaluated through the program. Exposure, Color Tone, composition of person, position of person, and out of focus were selected for subjective evaluation items and evaluated by image processing method. By applying objective and subjective assessment items, the results were very accurate, with the results obtained by the developed program and the results of the actual visual inspection. but since the currently developed program can be evalua ted only after facial recognition of the person, future research will need to develop a program that can evaluate all kinds of portraits.

• Journal of Internet Computing and Services
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• v.19 no.5
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• pp.89-96
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• 2018

In online communities, a large number of participants can exchange their opinion using replies without time and space restrictions. While the online space provides quick and free communication, it also easily triggers unnecessary quarrels and conflicts. The network established on the discussion participants is an important cue to analyze the confrontation and predict serious disputes. In this paper, we present a quantitative measure for polarity observed on the discussion network built from reply exchanges in online communities. The proposed method uses the comment exchange information to establish the user interaction network graph, computes its maximum spanning tree, and then performs vertex coloring to assign two colors to each node in order to divide the discussion participants into two subsets. Using the proportion of the comment exchanges across the partitioned user subsets, we compute the polarity measure, and quantify how discussion participants are bipolarized. Using experimental results, we demonstrate the effectiveness of our method for detecting polarization and show participants of a specific discussion subject tend to be divided into two camps when they debate.