• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2008년도 학술대회 1부
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• pp.683-687
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• 2008

사람들은 월드 와이드 웹(World Wide Web)상에서 사용자가 원하는 정보를 검색하는 여러 알고리즘들을 구현해 왔다. 이렇게 구현된 검색 알고리즘 중 가장 좋은 기술을 가지고 있는 곳은 페이지랭크(PageRank)방식의 구글이다. 하지만 페이지랭크 방식, 즉 외부에서 강조하는 링크가 많은 문서로 검색하여 가장 많은 링크를 가기고 있는 문서를 상위에 보여주는 방식으론 사용자가 원하는 문서를 찾기 힘들다. 개인에게 가치가 있는 문서를 찾기보다 대중에게 가치가 있는 문서를 찾기 때문이다. 이러한 문제를 해결하기 위하여 본 논문에서는 대중적 가치와 개인적 가치를 혼합한 개인화 검색 엔진을 제안한다.

• 한국통신학회논문지
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• 제35권2B호
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• pp.313-324
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• 2010

통신과 방송 미디어 정보의 단순 융합으로 출발한 IPTV가 이제는 이용자 요구에 능동적으로 적응하는 개인형 IPTV 서비스 형태로 발전하고 있다. 본 논문은 IPTV 서비스의 개인화 및 사용자 중심의 서비스 기능을 제공하기 위하여 서비스 오버레이 네트워크 기반위에서 IPTV 서비스를 능동적으로 제어 관리하는 DSON 구조를 제안한다. 또한 능동적인 서비스 제어 기능을 수행하기 위하여 DSON을 이용한 커뮤니티 IPTV 서비스, DSON 기반 홈 IPTV 방송 서비스 모델들이 제안된다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
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• pp.515-517
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• 2006

Recently, there is a rapidly growing demand for efficient real-tine playback and transmission of large amounts of multimedia data. But most users' connections are not fast enough to download large chunks of multimedia data. Therefore a streaming technology is needed in which users enable the real-time playback of multimedia date without having to download the whole of the multimedia date. In this paper, we propose a personalized IP streaming system. The proposed IP streaming system enables users to got an intelligent recommendation of multimedia contents based on the user preference information stored on the streaming server or the home media server. Moreover, users are assured of seamless access of streamed content event if they switch to another client device by implementing streaming system based on user identification and device information. We evaluate our approach with simulation results.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제3권2호
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• pp.215-221
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• 2003

Generally, we want to be searched the newest as well as some appropriate personalized information from the internet resources. However, it is a complex and repeated procedure to search some appropriate information. Moreover, because the user's interests are changed as time goes, the real time modeling of a user's interests should be necessary. In this paper, I propose PREA system that can search and filter documents that users are interested from the World Wide Web. And then it constructs the user's interest model by a modified spreading neural network. Based on this network, PREA can easily produce some queries to search web documents, and it ranks them. The conventional spreading neural network does not have a visualization function, so that the users could not know how to be configured his or her interest model by the network. To solve this problem, PREA gives a visualization function being shown how to be made his interest user model to many users.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2005년도 공동추계학술대회
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• pp.359-368
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• 2005

Personalized reminder systems have to identify the user's current needs dynamically and proactively based on the user's current context. However, need identification methodologies and their feasible architectures for personalized reminder systems have been so far rare. Hence, this paper aims to propose a proactive need awaring mechanism by applying agent, semantic web technologies and RFID-based context subsystem for a personalized reminder system, which is one of the supporting systems for a robust ubiquitous service support environment. Rescorla-Wagner model is adopted as an underlying need awaring theory. We have created a prototype system. called NAMA(Need Aware Muiti-Agent)-RFID. to demonstrate the feasibility of the methodology and of the mobile settings framework that we propose in this paper Moreover, to test if the proposed system works in terms of scalability, a simulation was performed and the results are described.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.102-103
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• 2021

의료 IT 기술의 발전으로 스마트헬스케어 사업의 발전을 통해 실버산업시대 개인 맞춤 의료서비스가 증가하고 있다. 따라서 본 논문에서는 아두이노 환경에서 다양한 센서를 활용해 스마트 헬스케어 개인 맞춤형 서비스를 제공할수 있는 관절재활 운동이 가능한 손가락 모델링을 구현하였다. 아두이노 기반의 구부림 센서(Flex sensor)를 이용해 개인별 손가락 관절의 활동성을 측정함으로 향후 스마트 헬스케어 분야에서 개인 맞춤형 재활운동에 활용하고자 한다.

• Journal of Information Processing Systems
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• 제19권5호
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• pp.576-589
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• 2023

To upgrade home style recommendations and user satisfaction, this paper proposes a personalized and optimized recommendation algorithm for interior design style based on local social network, which includes data acquisition by three-dimensional (3D) model, home-style feature definition, and style association mining. Through the analysis of user behaviors, the user interest model is established accordingly. Combined with the location-based social network of association rule mining algorithm, the association analysis of the 3D model dataset of interior design style is carried out, so as to get relevant home-style recommendations. The experimental results show that the proposed algorithm can complete effective analysis of 3D interior home style with the recommendation accuracy of 82% and the recommendation time of 1.1 minutes, which indicates excellent application effect.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2010년도 하계학술대회
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• pp.360-363
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• 2010

Streaming Technology can support the real-time playback without downloading and storing multimedia data in local HDD. So, client browser or plug-in can represent multimedia data before the end of file transmission using streaming technology. Recently, the demand for efficient real-time playback and transmission of large amounts of multimedia data is growing rapidly. But most users' connections over network are not fast and stable enough to download large chunks of multimedia data. In this paper, we propose an intelligent IP streaming system based on personalized media service. The proposed IP streaming system enables users to get an intelligent recommendation of multimedia contents based on the user preference information stored on the streaming server or the home media server. The supposed intelligent IP streaming system consists of Server Metadata Agent, Pumping Server, Contents Storage Server, Client Metadata Agent and Streaming Player. And in order to implement the personalized media service, the user information, user preference information and client device information are managed under database concept. Moreover, users are assured of seamless access of streamed content event if they switch to another client device by implementing streaming system based on user identification and device information. We evaluate our approach with manufacturing home server system and simulation results.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2015년도 추계학술발표대회
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• pp.332-334
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• 2015

Nowadays a disaster event such as a building on fire, an earthquake or typhoon could occur any time, and any where. In such event, a warning notification system is a vital tool to send warning notifications to at-risk people in advance and provide them useful information to escape the dangerous area. Though some systems have been proposed such as emergency alert system using android, SMS or P2P overlay network, these works mainly focus on a reliable message distribution methods. In this work, we introduce a full prototype implementation of a personalized warning notification system based on geosocial information, which generates a personalized warning message for each user and delivers the messages through email or an android application. The system consists of four main modules: a web interface, database, a knowledge-based message generator, and message distributor. An android application is also created for user to receive warning messages on their smart phone. The prototype has been demonstrated successfully with a building-on-fire scenario.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2002년도 가을 학술발표논문집 Vol.29 No.2 (2)
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• pp.274-276
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• 2002

With the proliferation of internet, it is increasingly needed to realize personalized news filtering service reflecting user's interest. In this Paper, we implement a filtering agent for Personalized news service. In the proposed system, Kohonen network for an unsupervised learning is used to train keywords provided by users and the personalization is achieved by using the trained neural network. After we trained and tested our filtering agent we could provide users news groups considering their interests.