• Information Systems Review
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• v.13 no.2
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• pp.55-72
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• 2011

As the complexity of business environment increases rapidly the use advanced information technology start to affect not only the business processes of individual companies but also the fundamental nature of business and industrial ecosystem. The changes observed at the level of business and industrial ecosystem encompasses a broad range of transformation. This unit of analysis is not sufficiently dealt with by existing information systems research. This research attempted to analyze the changes in business ecosystem caused by digital transformation using a relatively new approach called ecosystem mapping. We developed and suggested an ecosystem mapping methodology step by step and applied the methodology to film industry. The film industry is chosen because it is an industry very sensitive to the changes in technology and has gone through massive transformation during the last three decade by way of using modem information technology.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.136-136
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• 2011

최근, 수자원의 효율적 이용을 위하여 농업용수로를 파이프라인으로 시공하는 지구가 증가하는 추세에 있다. 한편으로는 간척지를 복합농업단지, 시설원예, 신재생에너지단지 등 다각적으로 이용하는 정책을 추진하고 있다. 이에 따라, 농업용수 공급시스템도 개수로에서 관수로로 설계하는 추세에 있다. 농업분야에서 관수로를 활용하기 시작한 것은 ‘80년대 중반부터이나 그간 관수로 설계기준의 부재, 시범사업의 실패 등으로 인하여 보급이 지연되어 왔다. 일반적으로 관수로 설계는 노선선정, 관조직 구성, 관경산정, 관망해석, 도면작성 등 일련의 과정을 거쳐야 완성된다. 이 설계과정에서 관경산정 및 관망해석은 고도의 설계 노하우가 없으면 활용이 어려운 설계기술이다. 이번에 개발한 관수로 설계지원시스템은 관수로 설계 전문가가 처리해야할 일련의 설계작업을 AUTO CAD상에서 일관성 있게 처리할 수 있도록 개발한 것이 특징이다. 관수로설계지원시스템은 수치지도상에서 등고선 좌표, 표고 등을 자동 추출하여 사업계획서 및 종단도를 작성할 수 있으며, 관망심볼을 이용하여 시스템상에서 관망조직을 구성할 수 있으며, 다양한 안에 대한 노선검토, 관경산정, 관망해석과 관두께, 매설심도 등 구조해석이 가능하다. 그리고, 농업용 관수로의 제수밸브 등 부대시설에 대한 표준도를 D/B로 작성하여 설계도 작성시 참고할 수 있도록 개발하였다. 관수로설계지원시스템은 매뉴얼대로 처리하면 관망해석에 대한 전문지식이 없어도 설계에 활용이 가능하다.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.4
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• pp.593-601
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• 2017

In this paper, we constructed the model of production/investment, distribution, and screening by using variables that can be considered at each stage according to the value chain stage of the movie industry. To increase the predictive power of the model, a regression analysis was used to derive meaningful variables. Based on the given variables, we compared the difference in predictive power between the artificial neural network, which is a machine learning analysis method, and the decision tree analysis method. As a result, the accuracy of artificial neural network was higher than that of decision trees when all variables were added in production/ investment model and distribution model. However, decision trees were more accurate when selected variables were applied according to regression analysis results. In the screening model, the accuracy of the artificial neural network was higher than the accuracy of the decision tree regardless of whether the regression analysis result was reflected or not. This paper has an implication which we tried to improve the performance of movie prediction model by using machine learning analysis. In addition, we tried to overcome a limitation of linear approach by reflecting the results of regression analysis to ANN and decision tree model.

• Cartoon and Animation Studies
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• s.47
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• pp.241-271
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• 2017

Film color is equivalent to other elements of film, including narrative, and has a textual meaning according to the identity of expression. In general, red has a function of focusing attention, and the meaning derived from it is diffused. In the interaction of text and context, the function of concentration and the meaning of diffusion can be presented. The concept of concentration and diffusion is shaped by the relationship between independent colors, colors and other cinematic elements, and interactions between colors. In order to confirm this, this study analyzes a series of popular Korean films, how film colors interact, and in particular, the concentration function of red and the meaning of proliferation. The results of this study are as follows. First, in Korean popular films, at its most basic, red symbolizes a nation, a people, and a nation. The red of nationalism surrounding ethnicity, nationality and country visualizes ideology and conflict. The purpose of an individual or group, the relationship between the offender and the victim is mediated through red. The flag, the name tag, the costume appearing in the film are red. This can be seen in films such as Train to Busan, Assassination, Masquerade, Miracle in Cell No.7, Brotherhood of War, Northern Limit Line, Joint Security Area, Welcome to Dongmakgol, and May 18. Second, the red color attached to the female body fixes or strengthens socio-cultural sexuality and gender. The examples are films like Ode to My Father, The Thieves, The Host, Purpose Of Love, Sunny, Like A Virgin, Forbidden Quest, Untold Scandal, Bewitching Attraction, and Ssanghwajeom. Third, the blood red in Korean films is a visual device that directs magical horror, anger, and asceticism. Such films include The Neighbors, Bunshinsaba, R-Point, A Tale Of Two Sisters, Whispering Corridors, The Uninvited, Thirst, SECTOR 7, Asura:The City of Madness, The Tiger, Veteran, and so on. Fourth, red of tears constitutes the specific emotions such as a beautiful desire and a brilliant tragedy in films like King and The Clown, Oldboy, Memories of Murder, 26 Years, The Attorney, Unbowed, Sympathy For Lady Vengeance, Happy End, Punch, Calling, The Yellow Sea, and He's on Duty.

• Journal of Intelligence and Information Systems
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• v.22 no.2
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• pp.97-113
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• 2016

Due to the growth of internet data and the rapid development of internet technology, "big data" analysis is actively conducted to analyze enormous data for various purposes. Especially in recent years, a number of studies have been performed on the applications of text mining techniques in order to overcome the limitations of existing structured data analysis. Various studies on sentiment analysis, the part of text mining techniques, are actively studied to score opinions based on the distribution of polarity of words in documents. Usually, the sentiment analysis uses sentiment dictionary contains positivity and negativity of vocabularies. As a part of such studies, this study tries to construct sentiment dictionary which is customized to specific data domain. Using a common sentiment dictionary for sentiment analysis without considering data domain characteristic cannot reflect contextual expression only used in the specific data domain. So, we can expect using a modified sentiment dictionary customized to data domain can lead the improvement of sentiment analysis efficiency. Therefore, this study aims to suggest a way to construct customized dictionary to reflect characteristics of data domain. Especially, in this study, movie review data are divided by genre and construct genre-customized dictionaries. The performance of customized dictionary in sentiment analysis is compared with a common sentiment dictionary. In this study, IMDb data are chosen as the subject of analysis, and movie reviews are categorized by genre. Six genres in IMDb, 'action', 'animation', 'comedy', 'drama', 'horror', and 'sci-fi' are selected. Five highest ranking movies and five lowest ranking movies per genre are selected as training data set and two years' movie data from 2012 September 2012 to June 2014 are collected as test data set. Using SO-PMI (Semantic Orientation from Point-wise Mutual Information) technique, we build customized sentiment dictionary per genre and compare prediction accuracy on review rating. As a result of the analysis, the prediction using customized dictionaries improves prediction accuracy. The performance improvement is 2.82% in overall and is statistical significant. Especially, the customized dictionary on 'sci-fi' leads the highest accuracy improvement among six genres. Even though this study shows the usefulness of customized dictionaries in sentiment analysis, further studies are required to generalize the results. In this study, we only consider adjectives as additional terms in customized sentiment dictionary. Other part of text such as verb and adverb can be considered to improve sentiment analysis performance. Also, we need to apply customized sentiment dictionary to other domain such as product reviews.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.3
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• pp.185-208
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• 2015

The purpose of this study is to understand the value of Fahrenheit 451 by Ray Bradbury as the second most favored 'One Book', and the goals of the communities which selected this particular book. A total of 53 'One Book' programs from 2001 through 2014 and 136 TBR programs from 2007 through 2015 selected this book as 'One Book' to read. In this study, 270 programs in TBR 2008/09, and more than 240 programs in TBR 2014/15 and several 'One Book' projects were analyzed. The results confirm the significance of book discussions and movie showing, the focus on such subjects as censorship, banned books, and freedom of expression, etc., and a close relationship between the diversity of programs and cooperation with community members.

• KLA journal
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• v.45 no.12 s.355
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• pp.61-65
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• 2004

우리 협회는 2003년 행정자치부의 민간단체 공익활동 지원사업의 일환으로 자금을 지원 받아 서산시와 함께 '한 도시 한 책 읽기 운동' 시범사업을 전개했었다. 그 당시 서산시에서는 서산시립도서관을 중심으로 '서산시민 모두가 책 한 권을 함께 읽는다면'이라는 주제로 창작 동화 "마당을 나온 암탉"을 읽고 저자강연회, 원화전시회, 영화상영, 각 종 토론회를 개최하는 등 다양한 프로그램을 통해 지역 독서 운동을 이끌었다. 서산시는 2004년 전년의 경험을 바탕으로 자체적으로 '한 도시 한 책 읽기 운동'을 전개하고 있는데, 모든 시민이 함께 읽을 책으로 창작 동화집 박기범의 "문제아"를 선정하였다. 그 이후 진행된 다양한 행사 중에는 현직 아나운서들이 직접 서산시내 학교를 방문하여 아이들에게 책을 읽어 주는 '낭독회'가 있었다. 사회 유명인사들의 도서관 문화 프로그램 참여의 좋은 계기가 될만한 이번 행사에 참가한 이익선, 정현경, 박시준 아나운서를 도서관문화편집팀이 만나보았다.

• Vending industry
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• v.11 no.2
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• pp.74-82
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• 2012

소상공인진흥원 사이트에 가면 신사업 아이디어(http://newbiz.or.kr)라는 콘텐츠가 있다. 이곳에는 국내외의 흥미로운 신사업 아이디어들이 다양하게 올라와 있다. '무료로 자전거를 타고 영화도 볼 수 있는 팝업시네마', '개인의 취향에 맞춰 커피를 포장하여 집으로 배달하는 사업'등등. 기발한 아이디어가 빛나는 사업 아이템들을 접하다 보면 탄성이 절로 나온다. 특히 국내보다는 해외 신사업 아이디어들의 비중이 높은 게 특징이다. 이 사업 아이디어들은 소상공인진흥원의 '신사업 유망창업 아이디어 공모'를 통해 발굴이 된다. 일반인은 자체적인 사업 아이템 뿐만 아니라 여러 정보매체를 통해서 접한 신사업 아이디어들을 응모할 수 있다. 이렇게 응모된 신사업 아이디어들은 선정위원회에서 엄선하여 인터넷 게재가 이루어진다. 소상공인진흥원 지식서비스부 관계자는 "이런 신사업 아이디어를 지속적으로 올리는 것은 국내 창업 환경이 너무 요식업 쪽으로 집중되기 때문이다"며 "잠재 창업자들이 다양한 신사업 아이디어를 접하고 좀 더 창의적인 창업을 시도했으면 좋겠다'고 밝혔다. 다양한 신사업 아이디어 정보 중에는 해외 자판기 관련 신사업 아이디어도 올라와 있다. 기발한 차원을 넘어 사업적인 성공을 한 아이템도 적지 않다. 최근 1-2년 동안 해외에서는 어떠한 흥미진진한 신사업 아이템이 화제를 모았을까?

• Communications of Mathematical Education
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• v.20 no.3 s.27
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• pp.343-359
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• 2006

The purpose of this research is to study the effect of using teaching materials related to the chapter on the mathematical history of sequence and to propose practical ways for teachers to use the materials in class. This study will show how to employ mathematical history to illustrate the practical use of mathematics, arouse students' interest, and improve the understanding of mathematics of students who are not interested in mathematics.

• Annual Conference of KIPS
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• 2020.05a
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• pp.397-400
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• 2020

본 논문은 영화에 나오는 효과음을 자막으로 생성해주는 자동자막생성을 제안하며, 그의 첫 단계로써 다중 사운드 분류 모델을 제안하였다. 고양이, 강아지, 사람의 음성을 분류하기 위해 사운드 데이터의 특정벡터를 추출한 뒤, 4가지의 기계학습에 적용한 결과 최적모델로 딥러닝이 선정되었다. 전처리 과정 중 주성분 분석의 유무에 따라 정확도는 81.3%와 33.3%로 확연한 차이가 있었으며, 이는 복잡한 특징을 가지는 사운드를 분류하는데 있어 주성분 분석과 넓고 깊은 형태의 신경망이 보다 개선된 분류성과를 가져온 것으로 생각된다.