• Cartoon and Animation Studies
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• s.44
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• pp.285-306
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• 2016

With the increase use of smartphones, users can consume contents such as webtoon, webnovel and TV drama directly provided by the producers. In this Direct-to-Consumer era, webdrama services from the portal websites are increasing rapidly. Webdramas such as , , and can be analyzed in real time using responses such as unique users, likes, and comments. The analyses used in this research were Social Media Big Data Mining Method and Opinion Mining Method. Specific key words from webdrama can be extracted and viewers positive, neutral or negative emotion can be predicted from the words. The analyses of popular webdramas showed that the established K-Pop Idol member appearance and servicing portal site greatly influence the views, traffics, comments, and likes. Also, 'Mobile TV' proved the effectiveness as another platform other than television. Mobile targeted contents and robust business models still to be developed and identified. Overcoming these few tasks, Korea will be proven to be a webdrama content powerhouse.

• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.236-248
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• 2010

Through this thesis, I analyzed Coen brothers's directing style centering around Crime movies: Blood simple, Barton Fink, Fargo, The man who wasn't thers, No country for old man. About directing style of Coen brothers, plot is an epic depiction, habitual use of narration, refusal of happy ending. They concern subject matters about human original nature and tragedy by greed. And as motifs, they often use misunderstanding, crossing over, chase. Also they likes characters of ordinary people who is destroyed by greed. How about their technical style? They usually use steady-cam and wide lens in camera, and in his early crime movies he used expressionistic lights, but after that they usually used realistic natural lights. About sound, they likes more sound effects than music. Also they directed realistic acting and emphasized actor's personality. Coen brothers has been directed many crime movies and comedy films. But their unique directing style was particularly outstanding in the crime movies

• Journal of the Korea Fashion and Costume Design Association
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• v.8 no.1
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• pp.137-144
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• 2006

Though old generation criticizes on costume play that it is accepted by young generation without any criticism, it is gaining popularity and is settled with unique Korean characteristics. The study is to understand the characteristics of costume play and investigate on the attitude of costume players enjoying it. For this study, a survey was conducted on costume players who order tailor-made costumes or rent them by using references, existing papers and internet sites. The results are as follows. 1.37% of costume players live in Seoul and Gyeonggi area, 37% in Gyeongsang-do and Busan with 21% in other areas. Two areas shows higher rate than any other regions, as Seoul Comic and Busan Comic are held regularly and there are faster exchange with Japanese culture in these areas with enough money 2. Among costume players, female accounts for 73.7% with 26.3% male. It shows that female likes costume play more than male. It is because woman responds actively to what she likes than man does. The number of male is steadily increasing. By age, high school student is 40%, middle school student is 36%, older than 20 is 16% with 3% of elementary school student. 3.61% of them like the reproduction of character costumes, 14.7% like Pancos and another 14.7% likethe reproduction of character costumes and creation. 69.5% participates in costume play both in groups and individuals, 26.3% in groups and 4.2% in individuals. 45.3% participates in comic more than 8 times in a yew, 43.2%, 1-2 times and 11.6%, 3-4 times. Mostly they want $50,000{\sim}80,000$ won costume. 4. on the criticism of old generation that costume play is nothing but the imitation of Japanese culture, 87.4% of the respondents answered 'absolutely not' They think costume play is one of their favorite cultures. 5. on the parents response to costumeplay, 87% of the respondents answered 'Ethey understand', 13% said 'they cannot understand and dissent'. The respondents said costume play didn't affect their school records with 25% respondents who said they got better grades.

• Journal of Information Science Theory and Practice
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• v.7 no.4
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• pp.33-44
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• 2019

Altmetrics measure the frequency of references about an article on social media platforms, like Twitter. This paper studies a variety of factors that affect the popularity of articles (i.e., the number of article mentions) in the field of psychology on Twitter. Firstly, in this study, we classify Twitter users mentioning research articles as academic versus non-academic users and experts versus non-experts, using a machine learning approach. Then we build a negative binomial regression model with the number of Twitter mentions of an article as a dependant variable, and nine Twitter related factors (the number of followers, number of friends, number of status, number of lists, number of favourites, number of retweets, number of likes, ratio of academic users, and ratio of expert users) and seven article related factors (the number of authors, title length, abstract length, abstract readability, number of institutions, citation count, and availability of research funding) as independent variables. From our findings, if a research article is mentioned by Twitter users with a greater number of friends, status, favourites, and lists, by tweets with a large number of retweets and likes, and largely by Twitter users with academic and expertise knowledge on the field of psychology, the article gains more Twitter mentions. In addition, articles with a greater number of authors, title length, abstract length, and citation count, and articles with research funding get more attention from Twitter users.

• Asian Spine Journal
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• v.12 no.6
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• pp.987-991
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• 2018

Study Design: Cross sectional study. Purpose: To assess the quality of anterior cervical discectomy and fusion (ACDF) videos available on YouTube and identify factors associated with video quality. Overview of Literature: Patients commonly use the internet as a source of information regarding their surgeries. However, there is currently limited information regarding the quality of online videos about ACDF. Methods: A search was performed on YouTube using the phrase 'anterior cervical discectomy and fusion.' The Journal of the American Medical Association (JAMA), DISCERN, and Health on the Net (HON) systems were used to rate the first 50 videos obtained. Information about each video was collected, including number of views, duration since the video was posted, percentage positivity (defined as number of likes the video received, divided by the total number of likes or dislikes of that video), number of comments, and the author of the video. Relationships between video quality and these factors were investigated. Results: The average number of views for each video was 96,239. The most common videos were those published by surgeons and those containing patient testimonies. Overall, the video quality was poor, with mean scores of 1.78/5 using the DISCERN criteria, 1.63/4 using the JAMA criteria, and 1.96/8 using the HON criteria. Surgeon authors' videos scored higher than patient testimony videos when reviewed using the HON or JAMA systems. However, no other factors were found to be associated with video quality. Conclusions: The quality of ACDF videos on YouTube is low, with the majority of videos produced by unreliable sources. Therefore, these YouTube videos should not be recommended as patient education tools for ACDF.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.163-171
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• 2021

This study aimed to investigate the main characteristics of the COVID-19 vaccine-related videos spread on YouTube and differences in user responses in the infodemic situation caused by COVID-19. As a result of content analysis of 579 videos related to the COVID-19 vaccine, it was found that all of the false information was written by individual channels. Institutions, organizations, media companies, and government channels reported spread of false information as well as fact-oriented reporting. The progressive channel had a high percentage of positive sentiment in favor of vaccination, and the conservative channel had a high percentage of negative emotion against vaccination. After the vaccination started, the number of videos on government channels increased, and it was found that the number of videos with positive emotions increased. Results of regression analysis of video characteristics that affect the number of likes indicated that personal expert videos and videos from progressive channels received more likes. Combining the research results, we propose a plan to promote government policies regarding the COVID-19 vaccine using social media.

• Fashion & Textile Research Journal
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• v.24 no.5
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• pp.593-604
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• 2022

The purpose of this study is to analyze the flow of change in perception of metaverse before and after COVID-19 through big data analysis. This research method used Textom to collect all data, including metaverse for two years before COVID-19 (2018.1.1~2019.11.30) and after COVID-19 outbreak (2020.1.11~2021.12.31), and the collection channels were selected by Naver and Google. The collected data were text mining, and word frequency, TF-IDF, word cloud, network analysis, and emotional analysis were conducted. As a result of the analysis, first, hotels, weddings, and glades were commonly extracted as social issues related to metaverse before and after COVID-19, and keywords such as robots and launches were derived, so the frequency of keywords related to hotels and weddings was high. Second, the association of the pre-COVID-19 metaverse keywords was platform-oriented, content-oriented, economic-oriented, and online promotion-oriented, and post-COVID-19 clusters were event-oriented, ontact sales-oriented, stock-oriented, and new businesses. Third, positive keywords such as likes, interest, and joy before COVID-19 were high, and positive keywords such as likes, joy, and interest after COVID-19. In conclusion, through this study, it was found that metaverse has firmly established itself as a new platform business model that can be used in various fields such as tourism, travel, festivals, and education using smart technology and metaverse.

• Journal of the Korean Society of Food Culture
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• v.7 no.3
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• pp.281-289
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• 1992

This study was designed to investigate and quantify components of the connotative meaning of foods, and to analyze the correlations between food concepts and food frequencies on elderly Korean. It involves adapting a communications research tools, the semantic differential and demonstrating its use with two population groups, urban and rural aged. The data were collected by interviewing 217 males and females of 70 years of age and older living in urban and rural areas. To assess how they feel and what they know about foods, the instrument which contains concepts of price, taste, goodness of health, interest, usuality, likes and dislikes, appetite, fattening, quality, and nutritive value about foods were developed. The result shows that there are significant correlations between food concepts and food frequencies. The more affirmative concepts the elderly have, the more food frequencies tend to be. positive concepts are appeared on the meat, fishes, vegetables & fruits, Kimchi and the rice, but negative connotations are appeared on the milk and sugar. There are significant differences between the urban and rural elderly on food concepts.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2007.04a
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• pp.221-224
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• 2007

MMS(Mobile Mapping System) generates a efficient image data for mapping and facility management. However, this image data of MMS has many difficulties in a practical use because of huge data volume. Therefore the important information likes road sign post must be extracted from huge MMS image data. In Korea, there is the HMS(Highway Management System) to manage a national road that acquire the line and condition of road from the MMS images. In the HMS each road sign information is manually inputted by the keyboard from moving MMS. This manually passive input way generate the error like inaccurate position, mistaking input in this research we developed the automatic road sign identifying technique using the image processing and the direct geo-referencing by GPS/INS data. This development brings not only good flexibility for field operations, also efficient data processing in HMS.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2230-2234
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• 2003

This paper proposes a distributed simulator for general control system in CEMTool. Systems can be described by SIMTool likes the simulink in Matlab. For distributed simulation, we can seperate any system into several parallel subsystems in SIMTool. The number of parallel subsystem can be determined by the system's property. After seperation, parallel simulator will do initialization, one-step-ahead simulation, block-distribution and ordering and so on. Finally, simulator will create independent C codes and executive files for each subsystem. The whole system is fulfilled by several PCs, and each PC executes one subsystem. There are communications among these subsystem using reflective memory or ethernet. We have made several experiments, and the 5-stand cold rolling mill control system is our main target. The result of parallel simulation has shown effective speedup in comparison with one pc simulation.