• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.06a
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• pp.293-304
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• 2001

frauds detection is a difficult problem, requiring huge computer resources and complicated search activities. researchers have struggled with the problem. Even though a flew research approaches have claimed that their solution is much bettor than others, research community has not found 'the best solution'well fitting every fraud. Because of the evolving nature of the frauds, a Revel and self-adapting method should be devised. In this research a new approach is suggested to solving frauds in insurance claims and credit card transaction. Based on evolutionary computing approach, the method is itself self-adjusting and evolving enough to generate a new set of decision-making rules. We believe that this new approach will provide a promising alternative to conventional ones, in terms of computation performance and classification accuracy.

• Journal of Internet Computing and Services
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• v.10 no.5
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• pp.1-12
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• 2009

A routing policy based on BGP community routing permits to select a specific route for particular network by making use of user-defined routing policies. Especially, community based routing policy is recently getting a great concern to enhance overall performance in the global research networks which are generally inter-connected large number of different characterized networks. In this paper, we analyze the community routing which has been applied in existing global research networks in the network performance point of view, and catch hold of problems caused by the routing performance in a new global research network. Then, we suggest an effective community routing policy model along with an interconnection architecture of research networks, in order to make correct some wrong routings and resolve an asymmetric routing problem, for a new global research network. Our work is expected to be utilized as an enabling base technology to improve the network performance of future global research networks as well as commercial networks.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.435-439
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• 2007

본 연구는 개인의 모바일 RFID를 활용하여 다양한 컨텐트를 습득하고 이를 개인 미디어를 동해 관리하는 과정 속에서 발생할 수 있는 U-커뮤니티 비즈니즈 모델을 설계한다. 유비쿼터스환경에서는 개인이 습득하게 되는 다양한 컨텐트와 온라인 상의 정보 사이에 연결완전성 (Seamlessness) 이 담보되고, 그 저장 및 게시가 손쉽게 이루어질 수 있을 것이라 판단하고, 유 비쿼터스 환경에서 나타날 수 있는 U-Community 비즈니스 모델의 시나리오를 제시한다. 시나리오 분석을 통해 각 사업 참여자들의 역할과 잠재적 이익을 검토하고, 각 사업 참여자가 본 비즈니스 모델을 수행하기 위한 조건에 대하여 검토한다.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.4
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• pp.432-436
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• 2010

Finding communities from network data including social networks can be done by clustering the nodes of the network as densely interconnected groups, where keeping interconnection between groups sparse. To exploit a clustering algorithm for community detection task, we need a well-defined similarity measure between network nodes. In this paper, we propose a new similarity measure named "Common Neighborhood Sub-graph density" and combine the similarity with affinity propagation, which is a recently devised clustering algorithm.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.2
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• pp.19-27
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• 2011

Recent development of information technologies produces a lot of community services. Social Network Service is one of the community services on the world wide webs. In the Social Network Service, a user can register other users as friends and enjoy communication through a virtual message. Previous researches show a few social service methods using manually generated tagging. However, the manual social tagging is not widely used in many social network services. Moreover, they do not consider ubiquitous computing environment. We propose a recommendation method for social service using contexts in ubiquitous environment. Our method scores documents based on context tags and social network services. Our social scoring model is computed by both a tagging score of a document and a tagging score of a document that was tagged by a user's friends.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.12
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• pp.5841-5859
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• 2018

The widespread adoption of the social computing paradigm has ushered in the development of online social innovation community (OSIC) as a promising method for solving social problems. Previous studies have not explicitly considered the conceptual factors that facilitate these communities' users' innovative activities, so it is vital to conduct empirical studies to verify the effectiveness of these factors. In this paper, the primary goals are to construct a theoretical model of the social innovation and empirically verify the casual relationship between theoretical factors and societal innovativeness. A survey of 398 OSIC users was conducted to empirically validate the theoretical model. The causal relationships between network characteristics and social innovativeness were experimentally tested. The results of this study indicated that ambiguity, switching, and multiplexity are important factors that facilitate social innovativeness, which contradicts the prior assumptions about innovation performance.

• IEIE Transactions on Smart Processing and Computing
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• v.6 no.2
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• pp.71-75
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• 2017

In this paper, a smart optical fingerprint sensor technology that is robust against faked fingerprints. A new lens and prism accurately detect fingerprint ridges and valleys that are needed to express a fingerprint's intrinsic characteristics well. The proposed technology includes light path configuration and an optical fingerprint sensor that can effectively identify faked fingerprint features. Results of simulation show the smart optical fingerprint sensor classifies the characteristics of faked fingerprints made from silicone, gelatin, paper, and rubber, and show that the proposed technology has superior detection performance with faked fingerprints, compared to the existing infrared discrimination method.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06a
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• pp.155-156
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• 2007

• Proceedings of the Korean Information Science Society Conference
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• 2007.06a
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• pp.252-253
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• 2007

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2006.06a
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• pp.116-121
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• 2006

삶의 질을 높여주기 위한 지능적이고 자율적인 컴퓨팅이 uT 환경과 더불어 일상생활에 스며들고 있다. uT 환경을 성공적으로 정착시키기 위해서는 다양한 사람들과 지능적인 개체들이 조직화되어 조직내부 구성원들과 조직들이 서로 커뮤니케이션을 수행하며 지역적이고 전역적인 목표를 달성하여야 한다. 본고에서는 커뮤니티 컴퓨팅의 개념과 가상 시나리오의 모의실험을 수행하는 시뮬레이터를 이용하여 uT 환경 구성의 초석을 다지고자 한다.