Jinho Ahn

Design and Implementation of SNS-based Exhibition-related Contents Recommendation Service

Abstract As the influence of social networking services across the societies becomes greatly higher, many of the domestic agencies are trying to communicate with users through the introduction of social networking services. In this paper, we present a reliable exhibition-related contents recommendation service to combine social networking service concept with the customized contents recommendation method we previously proposed. The proposed service may effectively and reliably recommend its users exhibition-related contents by exploiting their relationships in the social networks compared with the existing ones. Key Words : Social Network Services, Ubiquitous Computing, Path Searching, Congestion Control, Contents Recommendation * 준회원, 경기대학교 대학원 컴퓨터과학과 ** 정회원, 경기대학교 컴퓨터과학과(교신저자) 접수일자 2012년 1월 12일, 수정완료 2012년 3월 7일게재확정일자 2012년 4월 13일Received: 12 January, 2012; Revised: 7 March 2012Accepted: 13 April 2012 ** Corresponding Author: jhahn@kyonggi.ac.krDept. of Computer Science, Kyonggi University, Korea

Monitoring and Notification System Based on Risk Analysis Using Map-Reduce Framework

 Abstract—This paper presents a monitoring and notification system based on risk analysis using map-reduce framework that can do risk prediction using big data. By using social media and access records of their users, the proposed system determines their risks. Also, it monitors the restricted area through setting them and notifies the administrator as soon as the intrusions are detected. So, it will provide a control situation for administrator in real time and can detect the risky moments that may occur in advance. Therefore it can reduce the probability of risk of security penetration. Also, since it receives the control situation and provides real-time control screen via smartphone, it is possible to improve the convenience of intrusion management in a very fast and effective way.

On Reducing the Impact of Exceptional Conditions on Museum Sightseeing Crowdedness Control Mechanisms

As ubiquitous computing technology convergences into many industrial domains, most museums want to apply this technique to their domain. However, most ubiquitous museums merely provide the simplest service giving visitors only static information of artifact. To resolve limitations of the existing ubiquitous museums, we had proposed Visitor Preference based Museum Viewing Search Algorithm that provides the best path for visitors to reflect their preferences. However, since the Visitor Preference based Museum Viewing Search Algorithm did not consider abnormal situations that occur while visitors look at the exhibit. So when abnormal situations occur, the exhibition may cause congestion problems that may make visitors feel very uncomfortable. In this paper, we propose an efficient congestion control algorithm to solve these problems. This algorithm automatically re-finds proper alternative paths for avoiding congestion resulting from the abnormal ones occurring during the museum viewing. The proposed algorithm improves comfortable museum viewing services by preventing congestion in advance when exceptional conditions occur. For the experiment of the proposed algorithm, we show that the algorithm can provide the best path without congestion exhibition.