• Journal of the Korean BIBLIA Society for library and Information Science
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• v.17 no.2
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• pp.5-22
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• 2006

A cultural classification and a culture contents industrial classification are the basic tools for cultural policies, cultural supporting, cultural statistics, and evaluations and there is a cyclic processes among them. This study finds out the varieties and short time changes of cultural categorization in laws, statistics, indexes, evaluations, research reports. As a result, colon style new cultural classification is suggested which used networks, media, genre, and cultural comparts as principles.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.2
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• pp.91-100
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• 2015

The environment of using digital devices has been developed day by day, as mobile communication network has been fast and smart phone and tablet PC have been spread. When the environment changing, the contents consumers prefer have been changing too. The Webtoon became the representative contents of 'Snack culture'. The webtoon has led the growth of cartoon market for years recently instead of the slow comics growth. And it places its elf as contents on a firm basis, as it has been adapted to another genre such as Pay, Flm, TV Drama. Now it's expected to be an extgeneration contents that will lead Han-ryu(Korean wave). Though the webtoon has important and strong presence, there is no digital archive for collecting and preserving the webtoon, Korean Cartoon Contents Agency started making 'webtoon archive', but the groundwork and the study on the webtoon that represents digital culture contents are not enough a lot. In this study, the cases on digital archiving of culture contents in Korea are researched, and the direction on webtoon archiving that has just started is also discussed. The Archiving of webtoon that can't be seperated from digital contents is connected with archiving of digital culture contents in direction where they should be headed to.

• The Journal of the Korea Contents Association
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• v.13 no.3
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• pp.87-98
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• 2013

A convention is a customary channel that not only distinguishes the contemporary urban fantasy contents from other genres but also feels familiar with users for its currency. To begin with, the study defines the fantasy investigating the types of the fantasies, the time and the space which are regarded as the world of the fantasy, the fantasy storytelling and the convention, the custom of the fantasy. Next, the meaning and the convention of the contemporary urban fantasy contents are discussed. Ultimately, through the contemporary urban fantasy contents analysis, the study traces changes in the fantasy genres understanding how the convention destruction of the fantasy genre generates the convention in contemporary urban fantasy contents. Finally, the study proposes the directions of the convention in contemporary urban fantasy contents production which would provide us with a new experience and a dimension of fun.

• Journal of Convergence for Information Technology
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• v.9 no.5
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• pp.1-6
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• 2019

As the mobile market expands, a variety of platforms are available to provide multimodal media content. Multimodal media content contains heterogeneous data, accordingly, user requires much time and effort to select preferred content. Therefore, in this paper we propose multimodal media content classification using keyword weighting for recommendation. The proposed method extracts keyword that best represent contents through keyword weighting in text data of multimodal media contents. Based on the extracted data, genre class with subclass are generated and classify appropriate multimodal media contents. In addition, the user's preference evaluation is performed for personalized recommendation, and multimodal content is recommended based on the result of the user's content preference analysis. The performance evaluation verifies that it is superiority of recommendation results through the accuracy and satisfaction. The recommendation accuracy is 74.62% and the satisfaction rate is 69.1%, because it is recommended considering the user's favorite the keyword as well as the genre.

• The Journal of the Acoustical Society of Korea
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• v.24 no.1
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• pp.29-37
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• 2005

This paper proposes an automatic genre classification system for Korean traditional music. The Proposed system accepts and classifies queried input music as one of the six musical genres such as Royal Shrine Music, Classcal Chamber Music, Folk Song, Folk Music, Buddhist Music, Shamanist Music based on music contents. In general, content-based music genre classification consists of two stages - music feature vector extraction and Pattern classification. For feature extraction. the system extracts 58 dimensional feature vectors including spectral centroid, spectral rolloff and spectral flux based on STFT and also the coefficient domain features such as LPC, MFCC, and then these features are further optimized using SFS method. For Pattern or genre classification, k-NN, Gaussian, GMM and SVM algorithms are considered. In addition, the proposed system adopts MFC method to settle down the uncertainty problem of the system performance due to the different query Patterns (or portions). From the experimental results. we verify the successful genre classification performance over $97{\%}$ for both the k-NN and SVM classifier, however SVM classifier provides almost three times faster classification performance than the k-NN.

• Journal of Sport and Applied Science
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• v.4 no.3
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• pp.1-10
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• 2020

Purpose: This study is to explore which genre of sports culture contents will show the most consistent growth in the future and analyse the development outlook based on those results. Research design, data, and methodology: Case study was used for this research as it seemed to be the most appropriate approach in order to obtain the most complete and meaningful information from a particular phenomenon. A total of 15 participants were chosen to participate in a semi-structured in-depth interview and the recordings were typed out as text. In order to ensure validity and credibility of findings, peer and member check were conducted. Results: As a result, the sports culture content that is most likely to consistently grow in the future is games. Additionally, it is expected that sports culture contents will develop as new categories of sports culture contents emerge, as the evolution of sports culture content occurs through the combination with technology, as well as the activation of sensual sports contents, and the production of sports culture contents utilizing big data. Conclusions: It is concluded that convergence of sport, cultural contents, and technology will promptly progress, and it will promote the development of sport culture contents and related industry.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.681-684
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• 2020

2017년, '플레이어언노운스 배틀그라운드' 얼리 액세스 버전의 큰 성공으로 슈팅 게임 장르의 크나큰 변화가 일어났다. 수많은 유저들이 시간이 지날수록 압박해오는 전장과 1등에 근접할수록 높아지는 긴장감, 치열한 접전 끝에 1등을 차지하는 희열에 매료되어 세계적으로 선풍적인 인기를 끌게 되었다. 그러나 시간이 지날수록 유저들의 평균적인 게임 이해도와 실력이 늘어남에 따라 한번 실수에도 치명적인 영향을 받는 장르 특성상 모험보단 안전을 추구하고자 하였고 많은 배틀로얄 게임들이 전략의 고착화, 사용 장비의 고착화가 점점 심화되었다. 본 논문에서는 배틀로얄 장르의 고착화가 어떻게 이루어졌는지 수치와 통계를 통해 설명하고 효율적으로 고착화를 타파하기 위한 새로운 방안을 제시한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.01a
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• pp.209-212
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• 2020

게임에서의 캐릭터는 플레이어와 게임을 연결해주는 중요한 역할을 하며, 더 나아가 게임의 재미를 느끼는 데 필요한 요소 중 하나이다. 본 논문에서는 최근 대표적으로 인기를 끌고 있는 MOBA 장르의 게임인 리그 오브 레전드, 오버워치, 히어로즈 오브 더 스톰, 사이퍼즈 총 4개 게임의 캐릭터와 역할에 대한 재미를 분석하여 공통적인 재미 요소를 정리하고 설문 조사를 통해 유저들의 선호도를 파악하여 앞으로 게임 캐릭터 기획 제작에 대해 도움을 주고자 한다.

• Journal of KIISE:Computing Practices and Letters
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• v.12 no.5
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• pp.326-338
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• 2006

In this paper, we propose the weighted Markov model for recommending the users' prefered contents in the environment with considering the users' transition of their content consumption mind according to the kind of contents providing in time. In general, TV viewers have an intention to consume again the preferred contents consumed in recent by them. In order to take into the consideration, we modify the preference transition matrix by providing weights to the consecutively consumed contents for recommending the users' preferred contents. We applied the proposed model to the recommendation of TV viewer's genre preference. The experimental result shows that our method is more efficient than the typical methods.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.73-74
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• 2019

매치3 퍼즐 게임은 모바일 게임에서 많이 출시되고 있으며 많은 사람들이 즐기고 있는 장르이다. 또한 유사한 규칙과 형태를 가진 게임들이 지속적으로 출시 예정에 있다. 본 논문에서는 매치3 퍼즐 게임과 다른 장르 게임의 융합에 대해서 알아보고 후속 연구의 방향성을 제시한다.