• It's Smart Media
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• v.3 no.4
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• pp.22-28
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• 2014

스마트TV는 TV와 휴대폰, 그리고 컴퓨터 등 여러 개의 스크린을 활용하여 동영상을 볼 수 있는 TV를 의미한다. 스마트TV는 또한 콘텐츠를 인터넷에서 실시간으로 다운받아 볼 수 있고, 스포츠 결과, 사건 사고, 다른 나라의 소식, 그리고 이메일 등을 바로 확인할 수 있는 복합적인 커뮤니케이션 시스템이다. 반면에 이전의 TV는 단순한 방송을 시청하는 도구로 사용되었지만, 최근에 등장한 스마트TV는 방송을 보는 것과 참여하는 것, 그리고 선택하는 것을 포함하고 있다. 즉 TV에 네트워크 기능을 추가하며, 각종 앱을 설치하고, 이러한 앱들을 통해서 정보검색/물건구매, VOD 시청, 인터넷 게임, 소셜네트워크 사용 등 다양한 기능을 활용한다. 본 기사에서는 스마트TV 기술, 구성요소, 그리고 각 제조사별 특징을 분석하고, 스마트TV의 발전 방향 등 스마트TV의 현황 등에 대해서 정리한다.

• Annual Conference of KIPS
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• 2016.10a
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• pp.712-715
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• 2016

최근, 뷰티 산업 활성화와 더불어 소셜 미디어 확산으로 인해 아름다워지고자 하는 인간의 욕구가 과거보다 증대되어, 자신에게 어울리는 메이크업과 패션을 찾고자 하는 경향이 강해지고 있다. 이에 따라 자신을 돋보이게 하는 퍼스널 컬러가 주목받으면서 전문가에게 자신의 퍼스널 컬러를 진단받는 사람이 늘어나고 있다. 하지만 이러한 진단은 전문가의 주관적인 판단으로 결정되므로 정확한 진단을 받기 어려우며 진단에 따른 시간적, 비용적 소모가 발생하는 문제점이 있다. 본 연구에서는 이러한 문제점을 해결하기 위해, 온라인상에서 영상처리를 통해 효과적인 퍼스널 컬러 분석과 메이크업 추천이 가능한 시스템을 제안한다. 다양한 영상처리 방법을 통하여 사용자의 신체 영역을 추출하고, 색상 데이터 값을 이용하여 퍼스널 컬러를 분석하였으며 그에 따라 적절한 메이크업 콘텐츠를 추천하는 기법을 제안하였다. 마지막으로, 다양한 사용자로부터 만족도 실험을 통해 제안한 기법이 효과적임을 나타내었다.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.19-20
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• 2017

최근 소셜 미디어와 센서 장비의 기술의 발달로 그래프 데이터의 양이 급격히 증가 하였다. 그래프 데이터의 처리 과정에서 I/O 비용이 발생하여 데이터가 많아지면 병목현상으로 인해 데이터의 처리와 관리에 있어 성능에 한계가 발생한다. 이러한 문제를 해결하기 위해 데이터를 메모리에서 관리하는 캐시 기법에 대한 연구가 이루어 졌다. 본 논문에서는 서브그래프 데이터의 접근 패턴을 고려한 캐싱 기법을 제안한다. 그래프 환경에서 그래프 질의 이력을 통해 패턴을 찾고 질의 관리 테이블과 FP(frequent pattern)-Tree 통해 선별된 데이터를 메모리에 적재시킨다. 또한, 캐시 실패(cache miss)가 발생 하였을 때, 주변의 이웃 정점을 같이 메모리에 적재시킨다. 메모리가 가득 찰 경우 캐시 된 데이터를 퇴출시키는 교체 전략을 제안한다.

• Proceedings of the Korea Contents Association Conference
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• 2019.05a
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• pp.5-6
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• 2019

빅데이터 분석을 위해 활용되는 데이터로는 뉴스, 블로그, SNS, 논문, 특허 그리고 센서로부터 수집된 데이터 등 매우 다양한 유형의 데이터가 있다. 특히, 신뢰성 있는 데이터를 실시간 제공하는 웹 데이터의 활용이 점차 확산되고 있다. 그리고 빅데이터의 활용이 다양한 분야로 점차 확산되고 웹 데이터가 매년 기하급수적으로 증가하면서, 최근 웹 데이터는 재난대응 미디어로써 매우 중요한 역할을 하고 있다. 또한, 빅데이터 분석에 활용되는 원천 데이터는 네트워크 형태이며, 최근 소셜 네트워크 분석을 통한 효과적인 상품 광고, 핵심 유전자 발굴, 신약 재창출 등 다양한 영역에서 네트워크 분석 기술이 사회와 인류에게 가치 있는 정보를 제공할 수 있는 가능성을 제시하면서 네트워크 분석 기술의 중요성이 부각되고 있다. 본 논문에서는 웹에서 제공하는 뉴스와 SNS 데이터를 이용해 수난 발생 및 규모 예측을 지원하는 웹 크롤러 및 네트워크 분석기술을 제안한다.

• Smart Media Journal
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• v.1 no.4
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• pp.72-78
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• 2012

SNS supports the formation of relationships between users in common interests and provides services allowing for clique management, sharing contents, and so on. It also has common functions such as acting as primary platforms smoothing the sharing and distribution by combination with various contents. Hence, questionnaire has been conducted to users of all of Twitter, Facebook and KakaoStory, and the factors affected by each service are presented by statistical analyses of the survey and the results are resolved by dividing them into complete and instrumental social capital. This study will be able to provide a standard for users to select SNS according to their purposes and contribute to development of new SNS or improvement of existing ones.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.3
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• pp.427-439
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• 2019

This study investigated the semantic network based on the focus of the fashion image and SNS text utilized by global SPA brands on the last seven years in terms of the quantity and quality of data generated by the fast-changing fashion trends and fashion content-based media environment. The research method relocated frequency, density and repetitive key words as well as visualized algorithms using the UCINET 6.347 program and the overall classification of the text related to fashion images on social networks used by global SPA brands. The conclusions of the study are as follows. A common aspect of global SPA brands is that by looking at the basis of text extraction on SNS, exposure through image of products is considered important for sales. The following is a discriminatory aspect of global SPA brands. First, ZARA consistently exposes marketing using a variety of professions and nationalities to SNS. Second, UNIQLO's correlation exposes its collaboration promotion to SNS while steadily exposing basic items. Third, in the case of H&M, some discriminatory results were found with other brands in connectivity with each cluster category that showed remarkably independent results.

• Journal of the Korean Society for information Management
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• v.40 no.4
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• pp.123-145
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• 2023

During the COVID-19 period, public libraries produced and provided a variety of online contents to users as an alternative to offline services. The purpose of this study was to analyze the overall management of online contents in public libraries in the post COVID-19 period and to provide a methodological basis for improving online contents management. This study surveyed the overall current state of online content management in 305 public libraries in terms of production, services, and preservation. We also analyzed the librarian's perception of the online contents management process. As a result of the analysis even after the COVID-19 period, public libraries are efficiently producing and providing online contents and are actively providing this through the library website and social media. In addition, librarians recognized that online contents produced by public libraries are valuable as library resources and predicted that the online content would be produced more in the future. Also, they faced difficulties in production and management due to a lack of professional capabilities and extra workload, but they have recognized the high need for online contents management. Online contents is leading a paradigm shift in public library services. Therefore, attention and effort to activate online content is no longer an option but a necessity.

• Journal of Internet Computing and Services
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• v.22 no.5
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• pp.35-45
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• 2021

The purpose of this study is to understand the characteristics and trends of active senior. As the baby boom generation become the age of the elderly, they are more active than senior. These seniors are called active seniors, a new consumer group. Many countries and companies are also interested in providing relevant policies and services, but there is lack of researches on active senior trends. This study collects the 8,740 posts related to active seniors on social media from January 1st, 2018 to June 31st, 2021, and conducted keyword frequency analysis, TF-IDF analysis and LDA topic modeling. Through LDA topic modeling, topics are classified into 10 categories: lifestyle, benefits, shopping, government business, government education, health, society and economy, care industry, silver housing, leisure. The results of this study can be utilized as fundamental data to help understand the academic and industrial aspects of active senior.

• Journal of Intelligence and Information Systems
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• v.19 no.4
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• pp.39-53
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• 2013

The emergence of the internet technology and SNS has increased the information flow and has changed the way people to communicate from one-way to two-way communication. Users not only consume and share the information, they also can create and share it among their friends across the social network service. It also changes the Social Media behavior to become one of the most important communication tools which also includes Social TV. Social TV is a form which people can watch a TV program and at the same share any information or its content with friends through Social media. Social News is getting popular and also known as a Participatory Social Media. It creates influences on user interest through Internet to represent society issues and creates news credibility based on user's reputation. However, the conventional platforms in news services only focus on the news recommendation domain. Recent development in SNS has changed this landscape to allow user to share and disseminate the news. Conventional platform does not provide any special way for news to be share. Currently, Social News Service only allows user to access the entire news. Nonetheless, they cannot access partial of the contents which related to users interest. For example user only have interested to a partial of the news and share the content, it is still hard for them to do so. In worst cases users might understand the news in different context. To solve this, Social News Service must provide a method to provide additional information. For example, Yovisto known as an academic video searching service provided time dependent metadata from the video. User can search and watch partial of video content according to time dependent metadata. They also can share content with a friend in social media. Yovisto applies a method to divide or synchronize a video based whenever the slides presentation is changed to another page. However, we are not able to employs this method on news video since the news video is not incorporating with any power point slides presentation. Segmentation method is required to separate the news video and to creating time dependent metadata. In this work, In this paper, a time dependent metadata-based framework is proposed to segment news contents and to provide time dependent metadata so that user can use context information to communicate with their friends. The transcript of the news is divided by using the proposed story segmentation method. We provide a tag to represent the entire content of the news. And provide the sub tag to indicate the segmented news which includes the starting time of the news. The time dependent metadata helps user to track the news information. It also allows them to leave a comment on each segment of the news. User also may share the news based on time metadata as segmented news or as a whole. Therefore, it helps the user to understand the shared news. To demonstrate the performance, we evaluate the story segmentation accuracy and also the tag generation. For this purpose, we measured accuracy of the story segmentation through semantic similarity and compared to the benchmark algorithm. Experimental results show that the proposed method outperforms benchmark algorithms in terms of the accuracy of story segmentation. It is important to note that sub tag accuracy is the most important as a part of the proposed framework to share the specific news context with others. To extract a more accurate sub tags, we have created stop word list that is not related to the content of the news such as name of the anchor or reporter. And we applied to framework. We have analyzed the accuracy of tags and sub tags which represent the context of news. From the analysis, it seems that proposed framework is helpful to users for sharing their opinions with context information in Social media and Social news.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.93-98
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• 2012

Literature has showing a phenomenon of the society and the year's issue for a long time. Many critics used index to do not only understand the years' but also just literature. That is, the literature was an essential method to express the society. However, it can be different for each people to have a view point for the literary work. Therefore, people has a self-analysis for the work, and the activity affect that the it can be difficult for people to public their interest for the literary. In this paper, we make new cyber space for social network of the literary and propose a framework that people can discuss their opinion for the literary work. In that time, we make a literary work as digital content.