• International Journal of Contents
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• 제13권1호
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• pp.53-61
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• 2017

Recently, the Social Internet of Things (IoT), the follow-up of the IoT, has been studied to expand the existing IoT services, by integrating devices into the social network of people. In the Social IoT environment, humans, devices and digital contents are connected with social relationships, to guarantee the network navigability and establish levels of trustworthiness. However, this environment handles massive data, including social data of humans (e.g., profile, interest and relationship), profiles of IoT devices, and digital contents. Hence, users and service providers in the Social IoT are exposed to arbitrary data when searching for specific information. A study about the recommender system for the Social IoT environment is therefore needed, to provide the required information only. In this paper, we propose the Social correlation group based Recommender System (SRS). The SRS generates a target group, depending on the social correlation of the service requirement. To generate the target group, we have designed an architecture, and proposed a procedure of the SRS based on features of social interest similarity and principles of the Collaborative Filtering and the Content-based Recommender System. With simulation results of the target scenario, we present the possibility of the SRS to be adapted to various Social IoT services.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권11호
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• pp.2827-2848
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• 2012

Previously, we described a social media cloud computing service environment (SMCCSE). This SMCCSE supports the development of social networking services (SNSs) that include audio, image, and video formats. A social media cloud computing PaaS platform, a core component in a SMCCSE, processes large amounts of social media in a parallel and distributed manner for supporting a reliable SNS. Here, we propose a Hadoop-based multimedia system for image and video transcoding processing, necessary functions of our PaaS platform. Our system consists of two modules, including an image transcoding module and a video transcoding module. We also design and implement the system by using a MapReduce framework running on a Hadoop Distributed File System (HDFS) and the media processing libraries Xuggler and JAI. In this way, our system exponentially reduces the encoding time for transcoding large amounts of image and video files into specific formats depending on user-requested options (such as resolution, bit rate, and frame rate). In order to evaluate system performance, we measure the total image and video transcoding time for image and video data sets, respectively, under various experimental conditions. In addition, we compare the video transcoding performance of our cloud-based approach with that of the traditional frame-level parallel processing-based approach. Based on experiments performed on a 28-node cluster, the proposed Hadoop-based multimedia transcoding system delivers excellent speed and quality.

• Journal of Multimedia Information System
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• 제1권2호
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• pp.133-142
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• 2014

In the revised 2015 curriculum, it is emphasized that fostering of the students as the capable 'creativity-convergent' individuals can be achieved by offering them the opportunities to cultivate the basic knowledge in liberal arts, society and scientific technologies through schooling. While retaining the basic principle of 'fostering creative people', this fundamentally-reformed curriculum involves improvements in the elementary and middle school curriculums in response to the national and social demands in which active responses to the changes in the educational environments and amelioration of the problems posed in the field applications are required. Accordingly, a novel future-oriented curriculum is necessary for the classroom teaching, and to realize the goal, the 'Competence-oriented Social Multimedia Computer Network Curriculum' adopting the virtualization and the 'Bottom-up' methods has been proposed in this paper as a feasible and practical curriculum. Our curriculum will be compared with the recent Cisco high school curriculum and analyzed contemplating recent curriculums in US, UK, Japan and India. Two 1-year practice courses are examined to prove the validity of the proposed curriculum for a period of two years as a qualitative research project. The results of the comparative analysis will show that our proposed curriculum is superior to the Cisco high school curriculum in the aspects of economic feasibility and learning satisfaction.

• 한국멀티미디어학회논문지
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• 제17권10호
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• pp.1253-1262
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• 2014

Social capital is a sociological concept, which refers to connections within and between social networks. Social capital explains the importance of using social connections and social relations in achieving goals. Social capital such connections and relations, is critical along with environmental dynamism and organizational characteristics in achieving goals for firm's performance. This paper draw the taxonomy of social capital and then analyzed the relationship of firm's performance, environmental dynamism and organizational characteristics such as innovative culture. The empirical results using 134 game corporations in Korea showed that the configuration between taxonomy of social capital was significantly related to organizational structure and innovative culture. And second, the taxonomy of social capital is significantly related to firm's performance.

• International Journal of Advanced Culture Technology
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• 제8권3호
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• pp.223-230
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• 2020

Companies have made an investment of cost and time to optimize processing of a new business model in a cloud environment, applying collaboration technology utilizing business processes in a social network. The collaborative processing method changed from traditional BPM to the cloud and a mobile cloud environment. We proposed a collaborative system for operating processes in social networks using MOXMDR-DAI+ (eXtended Metadata Registry-Data Access & Integration based multimedia ontology). The system operating cloud-based collaborative processes in application of MOXMDR-DAI+, which was suitable for data interoperation. MOXMDR-DAI+ applied to this system was an agent effectively supporting access and integration between multimedia content metadata schema and instance, which were necessary for data interoperation, of individual local system in the cloud environment, operating collaborative processes in the social network. In operating the social network-based collaborative processes, there occurred heterogeneousness such as schema structure and semantic collision due to queries in the processes and unit conversion between instances. It aimed to solve the occurrence of heterogeneousness in the process of metadata mapping using MOXMDR-DAI+ in the system. The system proposed in this study can visualize business processes. And it makes it easier to operate the collaboration process through mobile support. Real-time status monitoring of the operation process is possible through the dashboard, and it is possible to perform a collaborative process through expert search using a community in a social network environment.

• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2012년도 춘계학술발표대회논문집
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• pp.318-319
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• 2012

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2012년도 제46차 하계학술발표논문집 20권2호
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• pp.347-348
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• 2012

눈 앞에 보이는 생활 속 불편 사항을 민원으로 처리할 수 있는 모바일 애플리케이션에 대한 필요성이 꾸준히 제기되어 왔다. 트위터나 페이스북과 같은 기존 소셜 네트워크 서비스 또한 수많은 글들이 올라오기 때문에 민원 내용에는 초점이 맞춰져 있지 않다. 본 논문에서는 안드로이드 기반의 민원 신고와 소셜 네트워크 서비스를 통합한 애플리케이션을 제안한다. 사용자는 민원에 집중된 내용을 다른 사람들과 실시간으로 공유하면서 정부 기관에서도 즉각적인 민원 확인이 가능하다. 이를 통해 시민들과 관공서 간의 빠른 민원 파악 및 처리의 효율성을 향상시킨다.

• 한국멀티미디어학회논문지
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• 제19권2호
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• pp.308-315
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• 2016

With the advancement in the area of cloud storage services as well as a tremendous growth of social networking sites, permission for one web service to act on the behalf of another has become increasingly vital as social Internet services such as blogs, photo sharing, and social networks. With this increased cross-site media sharing, there is a upscale of security implications and hence the need to formulate security protocols and considerations. Recently, OAuth, a new protocol for establishing identity management standards across services, is provided as an alternative way to share the user names and passwords, and expose personal information to attacks against on-line data and identities. Moreover, OwnCloud provides an enterprise file synchronizing and sharing that is hosted on user's data center, on user's servers, using user's storage. We propose a secure Social Networking Site (SSN) access based on OAuth implementation by combining two novel concepts of OAuth and OwnCloud. Security analysis and performance evaluation are given to validate the proposed scheme.

• 디지털콘텐츠학회 논문지
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• 제11권2호
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• pp.145-152
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• 2010

멀티미디어 콘텐츠의 활용은 교육과정에 적용되어 많은 연구가 이루어져 왔다. 하지만 초등학교 교과 과정 중에서 사회과 탐구 과정의 멀티미디어 콘텐츠는 지역의 특성상 지역별 교과 내용이 다소 차이가 있어서 멀티미디어 콘텐츠의 적용이 일반화되지 않은 실정이다. 본 연구는 초등학교 사회과 탐구 학습에 그래픽, 애니메이션, 사운드, 동영상 등의 멀티미디어 요소를 이용한 멀티미디어 콘텐츠 시스템을 제작하여 학습에 활용하는 방법을 제시한다. 그리고 멀티미디어 콘텐츠 시스템의 활용도를 높이기 위하여 리퍼포징 구조에 기반한 실시간 이미지 트랜스코딩 기법을 소개한다. 제안한 멀티미디어 콘텐츠 시스템은 그래픽, 사운드, 동영상 등 시각과 청각을 통해 흥미와 동기를 유발하며 학습효과를 증대시키고 컴퓨터와 대화식 학습으로 능력에 맞는 반복학습이 가능하며 자율적이고 창의적인 학습 자료로 활용할 수 있으므로 교육적 효과에 큰 도움이 되리라 추정된다. 본 연구의 멀티미디어 콘텐츠 시스템은 향후 사회과 탐구 학습에 효과적으로 활용될 수 있으며 다양한 멀티미디어 콘텐츠 개발의 지침이 될 수 있을 것으로 기대된다.

• 한국문헌정보학회지
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• 제51권1호
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• pp.227-243
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• 2017

This study proposed a structural and semantic framework for the characterization of events and segments in Web videos that permits content-based searches and dynamic video summarization. Although MPEG-7 supports multimedia structural and semantic descriptions, it is not currently suitable for describing multimedia content on the Web. Thus, the proposed metadata framework that was designed considering Web environments provides a thorough yet simple way to describe Web video contents. Precisely, the metadata framework was constructed on the basis of Chatman's narrative theory, three multimedia metadata formats (PBCore, MPEG-7, and TV-Anytime), and social metadata. It consists of event information, eventGroup information, segment information, and video (program) information. This study also discusses how to automatically extract metadata elements including structural and semantic metadata elements from Web videos.