• Journal of Digital Contents Society
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• v.14 no.2
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• pp.125-134
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• 2013

The mobile device users have been increasing significantly because of the development of Social network system and network technologies. Because of this popularity, there are various games in market based on the combination of the mobile device with social networks. It will be the potential market within the mobile games with the growth of popularity in various users. This paper proposes the possibilities for the development of mobile game in educational contents through the case study of the popular mobile games.

• Digital Contents
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• no.9 s.136
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• pp.130-133
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• 2004

‘모바일 콘텐츠 온엑스포 2004’가 한국데이터베이스진흥센터(이사장 방상훈) 주최로 8월 2일부터 9월 14일까지 디지털콘텐츠사이버전시장 OnExpo(www.OnExpo.or.kr)에서 성황리에 개최되고 있다. 44일동안 진행될 이번 행사는 60여 개에 이르는모바일 콘텐츠 제작.유통업체, 솔루션 개발업체들이 참가해 다양한 콘텐츠 및 솔루션 등의 정보를 보여주는 한편, 신규.인기콘텐츠, 콘텐츠 이용자 리뷰, 관련 기술.시장동향 분석보고서 등 모바일 콘텐츠에 관련된 모든 정보를 원스톱(One-Stop)으로 제공하고 있다. 특히 이번 행사에 시스윌의 협찬으로 매일 다른 휴대폰 벨소리를 무료로 다운받는 이벤트가 제공돼 네티즌들에게 큰 인기를 얻고 있다. 전시된 모바일 콘텐츠에 대한 사용 후기를 작성하면 별도 추첨을 통해 상품을 주는 이벤트 등 다채로운 행사가 사이버상에서 전개되고 있어 네티즌에게 볼거리와 즐길 수 있는 내용이 풍성하다. 매일 새로운 콘텐츠로 네티즌을 흥분시키고 있는 온엑스포 모바일 콘텐츠 전시장 속으로 들어가 보자.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.3
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• pp.59-66
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• 2020

Content Centric Network(CCN) with architecture that is completely different from traditional host-based networks has emerged to address problems such as the explosion of traffic load in the current network. Research on cache replacement policies is very active to improve the performance of CCN with the characteristics that all routers cache on the network. Therefore, this paper proposes a cache replacement policy suitable for situations in which popularity is constantly changing, taking into account the actual network situation. In order to evaluate the performance of the proposed algorithm, we experimented in an environment where the popularity of content is constantly changing, and confirmed that we are superior to the existing replacement policy through comparing hit rates and analyzing server load.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.111-118
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• 2021

This paper proposes a novel method of caching contents that can be encoded into multiple quality levels in device-to-device (D2D)-assisted caching networks. Different from the existing caching schemes, the author allows caching fractions of an individual file and considers the self cache hit event, which the user can find the desired content in its device. The author analyzes the tradeoff between the quality of cached contents and the cache hit rate, and proposes the device caching method maximizing the expected quality that the user can enjoy. Depending on the parameter of the relationship between the quality and the file size, the optimal caching method can be obtained by solving the convex optimization problem and the DC programming problem. If the file size increases faster than the quality, the cached fractions of the contents continuously increase as the popularity grows. Meanwhile, if the file size increases slower than the quality, some of the high-popularity files are entirely cached but others are not cached at all.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.49-55
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• 2023

In this study, models for predicting the popularity of mukbang content on YouTube were proposed, and factors influencing the popularity of mukbang content were identified through post-analysis. To accomplish this, information on 22,223 pieces of content was collected from top mukbang channels in terms of subscribers using APIs and Pretty Scale. Machine learning algorithms such as Random Forest, XGBoost, and LGBM were used to build models for predicting views and likes. The results of SHAP analysis showed that subscriber count had the most significant impact on view prediction models, while the attractiveness of a creator emerged as the most important variable in the likes prediction model. This confirmed that the precursor factors for content views and likes reactions differ. This study holds academic significance in analyzing a large amount of online content and conducting empirical analysis. It also has practical significance as it informs mukbang creators about viewer content consumption trends and provides guidance for producing high-quality, marketable content.

• Journal of Industrial Convergence
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• v.17 no.4
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• pp.131-137
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• 2019

In infrastructure wireless mesh networks (WMNs), in order to improve mobile users' satisfaction for the given cache hit ratio, we investigate an User centric Cache Allocation (UCA) scheme while reducing cache cost in a mesh router (MR) and expected transmission time (ETT) for content search in cache. To minimize ETT values of mobile users, a genetic algorithm based UCA (GA-UCA) scheme is provided. The goal is to maximize mobile users' satisfaction via our well defined utility, which considers content popularity and the number of mobile users. Finally, through solving optimization problem we show the optimal cache can be allocated for UCA and GA-UCA. Besides, a WMN provider can find the optimal number of mobile users for user centric cache allocation in infrastructure WMNs.

• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.359-372
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• 2022

This study aimed to derive a YouTube content strategy that can be exposed to Trending for a long time by comparing the features of 20 channels in the short/long term using 'YouTube Trending' data in 2021. First, through Pearson's correlation analysis, we found that various factors such as 'the number of title or tag letters' related to long-term exposure, and set this as an index to compare features. As a result, 1)'video title' of about 40-45 letters without excessive special characters, 2)'video length' within 10 minutes, 3)'Video description' is effective when writing 2-3 sentences and adding SNS information or including 3 key tags. Also, it would be more effective if you set key tag pairs such as (먹방, mukbang), (역대급, 레전드) derived through text mining. Through this, the channel will spread globally, bringing various advantages, and will be used as an indicator to evaluate the globality of the channel.

• Journal of Digital Convergence
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• v.11 no.8
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• pp.315-320
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• 2013

The content of emerging hero is a material of many roles in the development of video content. In recent years, the hero story taking advantage of the powered suit are appearing, and the popularity is also high. The powered suit was first advocated by Robert Anson Heinlein called science fiction writer, and he contributed to creation of diverse and numerous powered suit content. In particular, the powered suit content combined with epic heroes has become popular with many crush to audiences. In this study, what is the powered suit content and analyzed characteristics within the content of the powered suit by content analysis of utilizing the powered suit materials. It is thought that the powered suit content is gaining popularity to a large audience because it focused on realistic, scientific storyline than a traditional hero narrative.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.1
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• pp.78-87
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• 2015

Content-Centric Networking(CCN) is a new networking paradigm to search for the routing information needed to find a data from the content name, unlike conventional IP networks. In CCN, the mobility management, one of the CCN challenges, is consists of consumer mobility and content provider mobility. Among both, in the case of the content provider mobility, it requires too much overhead and time to update routing information on the corresponding routers. In this paper, we propose Popularity-based Pushing CCN(PoPCoN) which considers the content popularity to support effective mobility of content provider in CCN. Our proposed algorithm shortens content download time for the consumer and reduces the network overhead during mobility as compared to the existing approaches.

• Journal of KIISE
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• v.41 no.12
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• pp.1136-1144
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• 2014

Twitter is a social network service that generates about 140 million contents a day. Contents of Twitter contain a variety of information and many researchers research those in various fields. In this research, we propose a method for evaluating the importance of content based on characteristics of Twitter. We have found that number of follower means user's popularity and Re-tweet that means the popularity of content. We perform experiments about proposed method using real Twitter data for proving effectiveness of proposed method. Also, we found information providers in Twitter are public user who represent a company or a representative of a specific group.