• Digital Contents
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• no.10 s.137
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• pp.84-87
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• 2004

전무후무한 동시접속자수를 기록하며 한때 국민게임이라고도 일컬어지던 게임‘포트리스2’. 지금은 여러 이유로 그 인기가 주춤하지만 어쨌거나 포트리스2를 모르는 게이머는 간첩이라 불러도 무방할 정도의 인기와 인지도를 지녔었다. 포트리스2의 개발사 CCR에서 새롭 MMORPG 영역에 도전을 시작했다. 100억원 이상의 개발비를 투입한‘RF온라인’이 그 주인공. 지난 8월 공개 테스트를 시작한 RF온라인을 살펴봤다

• Digital Contents
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• no.10 s.125
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• pp.18-19
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• 2003

게임빌의 2004 프로야구가 모바일 게임 전문 사이트 엠플러그(www.mplug.co.kr)의 모바일 게임 인기순위에서 1위에 올랐다.나우콤이 운영하는 모바일게임 사이트 엠플러그의 지난달 주간 Top 50 순위에 따르면 2004 프로야구는 9월 8일 22일까지의 인기순위 집계에서 컴투스의 '붕어빵타이쿤2'를 제치고 1위에 올라선 것으로 나타났다.

• Proceedings of the Korea Contents Association Conference
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• 2016.05a
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• pp.213-214
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• 2016

현재 앱 스토어 인기 차트 1위에서 7위까지의 순위를 3주째 차지하고 있는 Ordinary Factory의 Analog Film City 시리즈는 각 테마별 도시의 느낌을 입혀주는 사진 보정 애플리케이션이다. 이 애플리케이션은 트위터 등 Social Network Services 이용자들의 입소문을 타고 지속적인 판매 실적을 올리고 있다. 사진 보정 애플리케이션은 현재 무료 버전으로 출시된 툴만 수십 종에 이른다. 그 외에도 SNS에 기본 옵션으로 탑재된 보정 기능 또한 전문 애플리케이션 못지않은 훌륭한 성능을 자랑한다. 이런 때에 Analog Film City 시리즈가 SNS 유저 사이에서 선풍적인 인기몰이를 하는 이유는 레트로 콘텐츠가 트렌드의 중심에 자리한 요즘 시기에 별다른 전문성을 요하지 않는 간편한 조작으로 일반 이용자들의 감성을 표현해낸다는 점에서 기인한 것으로 여겨진다.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.47-57
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• 2022

Newtro is gaining popularity recently as one of the media content genres. Newtro contents are not just a restoration, but are the creations that create new values by adapting to the current situation and appealing to the nostalgia for the past. A total of 254 people participated the online survey. Result showed that users prefer Newtro content that is in the 'moderate incongruity' state with moderate novelty, rather than content that is very new or too familiar. In addition, both 'personal nostalgia' from direct past experiences and 'vicarious nostalgia' from indirect experiences were found to have a positive effect on preference for Newtro content. Finally, it was confirmed that the image of Newtro contents affected the purchase intention of Newtro contents positively. But the attitude toward Newtro contents did not. Based on these results, this study suggested the implications for the differentiation strategy of Newtro contents.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.706-718
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• 2018

This study analyzed Naver TV users' pattern of video clip watching, and analyzed the factors affecting the popularity of Naver TV's video clip. We selected 572 individual video clips that were ranked 50th in Naver TV rankings from September 10th to September 24th in 2017. We classified video clip's characteristics into several factors, including the number of likes, the number of subscriber, genre, video clip's types, and star appearances. We indexed the popularity of video clip, which implies the degree of popularity for each video clip. The results showed that the number of likes for video clips and the number of subscribers for each video clip were positively related to the popularity of video clip. Video clip's genre, video clip's type and star power positively affected the popularity of video clip. The effect of extras genre on the popularity of video clip was the lowest, followed by entertainment, music, and drama genre. but the difference among entertainment, music and drama genre was not statistically significant. Web-only video and non-broadcast video positively affected the popularity of video clip. Finally, the popularity of video clip was higher when stars appeared in the video clip.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.1
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• pp.43-55
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• 2009

We consider a Direct Input Output Manufacturing System(DIOMS) which has a number of machine centers placed along a built-in Automated Storage/Retrieval System(AS/RS). The Storage/Retrieval (S/R) machine handles parts placed on pallets for the operational aspect of DIOMS and determines the optimal operating policy by combining computer simulation and genetic algorithm. The operational problem includes: input sequencing control, dispatching rule of the SIR machine, machine center-based part type selection rule, and storage assignment policy. For each operating policy, several different policies are considered based on the known research results. In this paper, using the computer simulation and genetic algorithm we suggest a method which gives the optimal configuration of operating policies within reasonable computation time.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.3
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• pp.33-39
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• 2019

This study analyzes the content of YouTube channel "Cream Heroes" dealing pet(cat) produced in South Korea currently. Due to the advance of science and technology in the 21 century, the commons are able to independently upload their own content after filming videos, and it is called One Person Media. Unlike existing One Person Media that contains provocative and violent factors, "Cream Heroes" is sound content that shows various features of cats. Specifically, this study explores how and why "Cream Heroes" is popular via content analysis. Throughout this, it studies not only the trait of popular YouTube channel, but also proposes the proper environment of One Person Media.

• The Journal of the Korea Contents Association
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• v.12 no.4
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• pp.40-51
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• 2012

Online discussion bulletin in Korea is not only a specific place where user exchange opinions but also a public sphere through which users discuss and form public opinion. Sometimes, there is a heated debate on a topic and any article becomes a political or sociological issue. In this paper, we propose how to analyze the popularity of articles by collecting the information of articles obtained from two well-known discussion forums such as AGORA and SEOPRISE. And we propose a prediction model for the article popularity by applying the characteristics of subject articles. Our experiment shown that the popularity of 87.52% articles have been saturated within a day after the submission in AGORA, but the popularity of 39% articles is growing after 4 days passed in SEOPRISE. And we observed that there is a low correlation between the period of popularity and the hit count. The steady increase of the hit count of an article does not necessarily imply the final hit count of the article at the saturation point is so high. In this paper, we newly propose a new prediction model called 'baseline'. We evaluated the predictability for popular articles using three models (SVM, similar matching and baseline). Through the results of performance evaluation, we observed that SVM model is the best in F-measure and precision, but baseline is the best in running time.

• Digital Contents
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• no.10 s.113
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• pp.32-33
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• 2002

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.181-191
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• 2016

We analyzed the search word of the media content in the IPTV service, and as a result we found that an important factor is general meta information as well as content(material, plot, etc.) and emotion information in the media content selection criteria of customers. Therefore, in this research, in order to efficiently provide various media contents of IPTV to users, we designed the emotion classification system for utilizing the emotion information of the media content. Next, we proposed 'personalized media contents curation system based on emotion information' for organizing the media contents, through the various processing steps. Finally, to demonstrate the effectiveness of this system, we conducted a user satisfaction survey(72.0 points). In addition, the results of comparing the results based on popularity and the results of the proposed system showed that the ratio leading to the actual users' viewing behavior was 10 times higher.