• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.111-119
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• 2012

This study examines determinants of user immersion for Korean drama and entertainment genre programs among Chinese students in Korea. The major results are as follows: firstly, user immersion for entertainment genre was more greater than that of drama genre. Although drama was tended to evaluated based on star appearance and narrative structure, entertainment program was favored by its pleasure and vividness. Secondly, there were gender differences for entertainment and drama genre programs between male and female respondents. Also, there was a correlation between drama immersion and duration of stay. Thirdly, although determinants of drama immersion were program characteristics, duration of stay and drama preference, those of entertainment immersion were program characteristics, appearance of star players and entertainment preference.

• The International Journal of Costume Culture
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• v.13 no.2
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• pp.67-81
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• 2010

This study is a basic research to develop kit and program for fashion psychotherapy, a new genre of therapy. Symptom checklist, self-esteem evaluation, interpersonal relationship problem evaluation and fashion preference evaluation were conducted on 159 college students in Seoul. The results were analyzed with t-test and one-way ANOVA. The result showed that first, warm color preference was significantly high in interpersonal problem among psychological problems. Second, smooth material preference was significantly high in paranoia among psychological problems. Third, differences in design preferences by psychological problems were not significant. Fourth, differences in design preferences between abnormal range and normal range of psychological problems were significant in line shape, with depression abnormal group showing significantly high straight line preference. Additionally, complex shape preference was significant in complexity in somatization and phobia abnormal groups. This study can be utilized in kit development for a new field, fashion psychotherapy. This study is significant as practical basic data in constructing fashion psychotherapy program.

• Journal of Korea Multimedia Society
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• v.13 no.10
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• pp.1453-1462
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• 2010

In this paper, a new program recommendation system is proposed to recommend user preferred VOD program in IPTV environment. A proposed system is implemented with collaborative filtering method. For a user profile which describes user program preference, a program preference, sub-genre preference, and US(user similarity) weight of the user neighborhood is averaged and updated every week. In order to evaluate system performance, real 24-weeks cable TV watching data provided by Nilson Research Corp. are modified to fit for IPTV broadcasting environment and the simulation result shows quite comparative quality of recommendation. The experimental results optimum performance when user similarity based weighting, five person per group and five recommendation programs are used.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.4
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• pp.9-19
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• 2010

In this paper, a new program recommendation system is proposed to recommend user preferred VOD program in IPTV environment. A proposed system is implemented with hybrid filtering method that can cooperatively complements the shortcomings of the content-based filtering and collaborative filtering. For a user program preference, a single-scaled measure is designed so that the recommendation performance between content-based filtering and collaborative filtering is easily compared and reflected to final hybrid filtering procedure. In order to provide more accurate program recommendation, we use not only the user watching history, but also the user program preference and sub-genre program preference updated every week as a user preference profile. System performance is evaluated with modified IPTV data from real 24-weeks cable TV watching data provided by Nilson Research Corp. and it shows quite comparative quality of recommendation.

• Cartoon and Animation Studies
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• s.13
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• pp.211-221
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• 2008

Animation programs are regarded as bad genre in the aspect of advertisement revenues due to relative low viewing ratios. But programming of animation can be considered positively in the aspect of channel loyalty and preference. This study is based on the assumption that if the scheduling of animation genres could bring out the improvement of channel image of broadcasting stations in the long term, the terrestrial broadcasters could reconsider the increase of animation programs. The research questions of this study are as follows: 1. What is the relationship between the programming ratio of animation genres and the concentration of viewing patterns? 2. How has the increase of animation programming influenced the channel image of broadcasters? 3. Why is it necessary to increase of reinforce the programming of animation genre in the new media platforms? The teenagers aged from 8 to 14 can generally make a decision which program they want to watch. Likewise, the adult viewers aged from 30 to 40 can make a selection which commodity they want to buy. The results of this study indicate that the adult viewers have showed the strong preference for the same broadcasting stations which they have been exposed to in their teenages. This result implies that in the new media environment, animation genre can lead the viewers' loyally and preference for the broadcasting channel for a long period.

• Journal of Broadcast Engineering
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• v.26 no.5
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• pp.621-642
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• 2021

In this paper, the subjective video quality assessment of the content quality was to examine by the assessors about the three content quality of HD, Up-scaling UHD, 4K UHD Native that is currently broadcasted. The comparative assessment was conducted using three types of TV sets, 55, 65, 75 inches, at a distance of 2.5 meters which is the distance of watching TV in general households. Among the participants who took part in the video quality evaluating experiment and the questionnaire survey, the answering data of the final 169 persons were adopted after removing the data of 4 persons who answered inadequately in the evaluation of the video quality. The effects of gender, preference of program genre, size of TV sets were analyzed statistically using SPSS 25.0 analysis package. In addition to these, the objective video quality assessment through the measuring instrument was performed, and compared with the results of subjective video quality assessment.

• Journal of Broadcast Engineering
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• v.7 no.2
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• pp.153-167
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• 2002

With the advent of digital broadcasting, a large number of program channels become available at the user terminals such as set-top-box or PC. Channel navigation and searching become more difficult at TV terminal sides using a conventional device such as a TV remote controller. The MPEG-7 MDS (Multimedia Description Scheme) and TV Anytime set up a standard about how to describe user preferences for genre, channel, actor/actress, keyword, etc. of the TV programs, and how to describe usage history for user's program consumption behaviors and preferences. But they do not describe how to use them. In this paper, we describe an IPG (Intelligent Program Guider) system that provides TV program and channel information based on user preferences and suggest easy access to TV program that user wants. The IPG monitors user's behaviors of interacting to programs and automatically updates the user's preference changes according1y. The IPG utilizes user preferences description scheme specified in both MPEG-7 MDS and TV Anytime metadata specifications.

• Journal of the Korean Institute of Landscape Architecture
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• v.33 no.3 s.110
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• pp.43-55
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• 2005

Since 1990s, increasing number of public arts have been installed in housing projects in Korea. Most of them were made of granite, bronze and stainless steel and were sculptures as well. Then it resulted in monotony. New technology and community need various Dials in material and genre of Public art. The author wonders if people really want granite sculpture, so started the study of public arts in housing projects. Unfortunately most of people related public art wanted granite sculpture. But there were some hope in survey. They wanted the other genre and material like ceramic wall, art fountain and landmark tower. This means that they care about real world like vandalism and Product Liability, but also want more fantastic and beautiful world in the second step. Recently, the facades of apartments are changing rapidly as more diverse materials in their forms, textures, and colors. And landscape designs are changing their clothes in every second as well. According to these flows public arts in apartments needs more diversified trial within genres and materials to avoid monotonous outdoor.

• Journal of Broadcast Engineering
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• v.7 no.2
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• pp.88-95
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• 2002

According to an evolution of digital broadcasting, it is possible that terrestrial and satellite broadcasting media provide multi-channel services. CATV and satellite media have been also extended to hundreds of channels. As the result of channel expanding, viewers came to select lots of channels. But it is difficult that they select the favorite channel among hundreds of channels. In this paper, we propose an efficient automatic method to recommend channels and programs on a viewer's preference in a multi-channel broadcasting receiver like a Set ToP Box(STB). The proposed algorithm selects channels based on the following method. It makes and saves user history data by using MPEG-7 MDS based on the program information a viewer had watched. It recommends programs similar to a viewer's preference based on user history data. It selects the channel in the recommended genre based on the viewer's channel preference. The experimental result shows that the proposed scheme is efficient to select the user preference channel.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.431-436
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• 2015

As a number of TV programs broadcast today, researches about TV program recommender system have been studied and many researchers have been studying recommender system to produce recommendation with high accuracy. Recommender system recommends TV program to user by using metadata like genre, plot or calculating users' preferences about TV programs. In this paper, we propose a new TV program Collaborative Filtering Recommender System that exploits viewing time pattern like viewing ratio, relation with finish time and recently viewing history to calculate preference for high-quality of recommendation. To verify usefulness of our research, we also compare our method which utilizes viewing time patterns and baseline which simply recommends TV program of user's most frequently watched channel. Through this experiments, we show that our method very effectively works and recommendation performance increases.