• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.8
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• pp.1717-1724
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• 2012

Information of social relationship of users on online is useful information for other services such as recommend information of commercial activity. So, there is a lot of studies analysis with connection to visualization of social network. Most of the previous works of visualization focus on representing user's relationship on social network by a complex multi dimension graph. However, this method is difficult to identify the important of relationship to focus on personal user intuitively. In order to resolve above problem, this paper proposes a new visualization method using the user's correlation and user relationship of network node. The proposed method visualizes the hierarchy relationship of users using the internal relation of network reflecting user's message and external relation of network nodes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.8
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• pp.5232-5239
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• 2015

The purpose of this study is to examine university student's awareness and utilization plan of Smart Learning of the university education. For this purpose, a needs analysis is performed through a survey of 345 university students. Through the survey, first, students of media devices, including the average daily usage time of four hours at the most common smart devices, the intended use was used SNS, games and entertainment, datebook, and more. Second, the benefits of the smart learning, which students learn to recognize the challenges and reducing the burden most common obstacle was the difficulty in immersion classes. Third, the demand for university education smart learning, the most common opinion about the classroom building. On the basis of the above research findings, the utilization plans are proposed.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.267-273
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• 2016

Creation and Sharing of information which is structured data as well as various unstructured data. makes progress actively through the spread of mobile. Recently, Big Data extracts the semantic information from SNS and data mining is one of the big data technique. Especially, the general emotion analysis that expresses the collective intelligence of the masses is utilized using large and a variety of materials. In this paper, we propose the emotion prediction system architecture which extracts the significant keywords from social network paragraphs using n-gram and Korean morphological analyzer, and predicts the emotion using SVM and these extracted emotion features. The proposed system showed 82.25% more improved recall rate in average than previous systems and it will help extract the semantic keyword using morphological analysis.

• Information Systems Review
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• v.15 no.3
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• pp.1-37
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• 2013

This study is conducted to explore the possibility of service convergence to promote mobile learning. This study has attempted to identify how mobile learning service is provided, which services among them are considered most popular, and which services are highly demanded by users. This study has also investigated the potential opportunities for service convergence of mobile service and e-learning. This research is then extended to examine the possibility of active convergence of common services in mobile services and e-learning. Important variables have been identified from related web pages of portal sites using social network analysis (SNA) and association rules. Due to the differences in number and type of variables on different web pages, SNA was used to deal with the difficulties of identifying the degree of complex connection. Association analysis has been used to identify association rules among variables. The study has revealed that most frequent services among common services of mobile services and e-learning were Games and SNS followed by Payment, Advertising, Mail, Event, Animation, Cloud, e-Book, Augmented Reality and Jobs. This study has also found that Search, News, GPS in mobile services were turned out to be very highly demanded while Simulation, Culture, Public Education were highly demanded in e-learning. In addition, It has been found that variables involving with high service convergence based on common variables of mobile and e-learning services were Games and SNS, Games and Sports, SNS and Advertising, Games and Event, SNS and e-Book, Games and Community in mobile services while Games, Animation, Counseling, e-Book, being preceding services Simulation, Speaking, Public Education, Attendance Management were turned out be highly convergent in e-learning services. Finally, this study has attempted to predict possibility of active service convergence focusing on Games, SNS, e-Book which were highly demanded common services in mobile and e-learning services. It is expected that this study can be used to suggest a strategic direction to promote mobile learning by converging mobile services and e-learning.

• Journal of Information Technology Services
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• v.14 no.1
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• pp.145-158
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• 2015

Currently, Social Commerces have increasingly gained popularity with the growth of Social Network Services (SNS). As the applications of smartphones are being applied in widespread areas, social commerces in the smartphone environment have entered a new chapter. The applications of social commerces on smartphones are widely used, which has increased the market share of social commerces exponentially. Thus, we tried to find out factors which may affect the user acceptance of social commerces in the smartphone environment. We develop a research model to examine how social commerces in the smartphone environment are accepted by users based on the academic factors-switch costs, trend-seeking tendency, richness in media. The theoretical model is validated through an survey of social commerce users in the smartphone environment from the undergraduates and the graduates in Seoul, Korea. The structural equation analysis is conducted based on the partial least square (PLS) approach. The results reveal that the switch cost will have positive mediating influences to the intention to use social commerce in the smartphone environment. We also find that the perceived usefulness of the smartphone is affected by the media richness. The results also suggest that the trend-seeking tendency has no influences to the users of social commerces in the smartphone environment. Also, theoretical and practical implications are discussed. The findings are believed to increase our understanding an interesting mobile phenomenon, as well as making contributions.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.4
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• pp.169-176
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• 2015

Recently smartphone market is rapidly growing and application market has also grown significantly. Mobile applications have been provided in various forms, such as education, game, SNS, weather and news. And It is distributed through a variety of distribution channels. Malicious applications deployed with malicious objectives are growing as well as applications that can be useful in everyday life well. In this study, Events from a malicious application that is provided by the normal application deployment and Android MalGenome Project through the open market were extracted and analyzed. And using the results, We create a model to determine whether the application is malicious. Finally, model was evaluated using a variety of statistical method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.230-232
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• 2011

Owing to the advent of digital devices which equipped with GPS, such as smartphone and tablet pc, a number of LBSNS applications have been released and even SNS applications serve various Location-Based Services. In twitter's case, the news of interesting area is provided to user not by being subscribed them automatically, but by being searched on web-site. This paper describes the system designed for users want to subscribe the local news without procedure like searching using operators. This system uses PBSM(Partition Based Spatial-Merge Join) which has no index for batch processing and against a massive query. The results from Spatial Join are stored in Materialized View then provided to user.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.12
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• pp.937-943
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• 2013

Internet Explorer is the popular internet browser the most in domestic. In some version of Internet Explorer, user information could be leaked cause CORS(Cross-Origin Resource Sharing) Internet Explorer support. Different before, without setup a malicious program, attacker can get the user information even account information, credit card usage list and user information with SNS or internet portal site logged in regardless of secure program. Not only Internet Explorer but also mobile browser, it could be. In this paper, we make study of the potential disclosure of user information by attack using CORS, second attack and the way to improvement of vulnerability of CORS.

• Convergence Security Journal
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• v.15 no.1
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• pp.83-89
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• 2015

In the wide area surveillance system including many CCTVs, application for remote realtime monitoring is designed and implemented. The applications using Xcode provide secure administrator interface from headquarters. Through the efficient and intuitive interface, it delivers real-time context reports and inference results. For the user convenience, it includes push alarm of events, SNS, Media streaming service for real-time monitoring uses Wirecast and Wowza media server. Wowza stream engine provides URL accommodating development specification. Mobile devices can receive real-time stream data. Performance evaluation in the processing is provided.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.198-201
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• 2011

본 연구는 현재 널리 사용되고 있는 소셜네트워크 속에서 일반 사용자들이 의료 도메인의 전문가들과 쉽게 질문과 응답을 주고 받을 수 있게 해주는 서비스 개발을 위한 기초 연구로써, 사용자의 문서를 분석하여 질문을 추출해 내고 어떤 의료 도메인에 해당하는 질문인지 분류하는 연구이다. 한글로 구성된 문서 속에서 질문에 해당하는 형태소 분석 방법을 이용하야 질문을 추출을 한 다음 질문 속의 단어 들을 분석하여 KORLEX를 이용한 단어간의 관계성을 분석하여 도메인을 분류하는 작업을 거친다. 또한 본 연구는 텍스트마이닝 기법과 인공지능의 분류 기법을 응용하여 소셜네트워크 속에서 질문과 응답을 분석하여, 의료 도메인의 전문가들이 볼 수 있게 함으로써, 소셜네트워크를 이용한 양방향의 질의응답 서비스를 제공 한다. 이 같은 양방향 질의응답 서비스를 통해 헬스케어 및 의료 관리 서비스를 받을 수 있다. 본 논문은 소셜네트워크 상에서 사용자들이 올린 헬스케어에 관련된 질문들을 추출하고 분류해 주는 과정에 한정하여 진행된 결과를 기술한다.