• Journal of KIISE
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• v.41 no.12
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• pp.1117-1125
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• 2014

Folksonomy data, which is derived from social tagging systems, is a useful source for understanding a user's intention and interest. Using the folksonomy data, it is possible to create an accurate user profile which can be utilized to build a personalized search system. However there are limitations in some of the traditional methods such as Vector Space Model(VSM) for user profiling and similarity computation. This paper suggests a novel method with graph-based user and document profile which uses the proximity information of query terms to improve personalized search. We demonstrate the performance of the suggested method by comparing its performance with several state-of-the-art VSM based personalization models in two different folksonomy datasets. The results show that the proposed model constantly outperforms the other state-of-the-art personalization models. Furthermore, the parameter sensitivity results show that the proposed model is parameter-free in that it is not affected by the idiosyncratic nature of datasets.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.57-67
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• 2016

As the Internet is becoming more socialized, Korean government, publishing a slogan, Government 3.0, has recently began to find a way to deliver its administration services to the public in more personalized manner. Policy directions to implement this advanced idea, are however still at large, primarily because of the vague nature of 'personalized'. This study, therefore, explores the possibility of getting public administrative services closer to personalization. To achieve this objective, this study attempts to develop a integrative framework of classifying the administration services to the public, based on two dimensions - the degree of citizen-oriented and the degree of government-driven, both of which are perhaps key determinants of personaliztion of services. For each quadrant of the framework, key features, characteristics, and conditions to be met are explained and followed by exemplary cases and policy implications.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.1
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• pp.7-11
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• 2013

Taking experts' knowledge to recommend items has shown some promising results in recommender system research. In order to improve the performance of the existing recommendation algorithms, previous researches on expert-based recommender systems have exploited the knowledge of a common expert group for all users. In this paper, we study a problem of identifying personalized experts within a user group, assuming each user needs different kinds and levels of expert help. To demonstrate this idea, we present a framework for using Support Vector Machine (SVM) to find varying expert groups for users; it is shown in an experiment that the proposed SVM approach can identify personalized experts, and that the person-alized expert-based collaborative filtering (CF) can yield better results than k-Nearest Neighbor (kNN) algorithm.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.697-699
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• 2005

유비쿼터스 시대가 도래하면 언제 어디에서나 거대한 양의 컴퓨팅 서비스 및 장치들이 생활 곳곳에 스며들어 사용자의 요구를 기다리고 있을 것이며 개개인의 사람마다 사용자의 기호에 맞는 개인화된 서비스가 필요하다. 사람의 위치이동에 따라 빠르게 변화하는 다양한 서비스 환경에서는 사용자의 개입을 최소화 하여야하여 관심 여부에 맞추어서 서비스 장치 및 동작 모드를 자동적으로 결정하여야 할 것이다. 본 논문에서는 이러한 동적 환경에서 분산 에이전트 기술을 이용하여 사용자의 요구에 가장 근접한 지능형 서비스 제공을 위해 크게 세 가지 단계로 구성하였다. 첫째, 유비쿼터스 환경의 인프라구조인 스마트 공간을 가상의 시뮬레이터로 구현하여 물리적 장치 및 컴퓨팅 객체를 모델링한다. 둘째, 이기종 환경에서의 사용자의 대리인으로서 지능적인 서비스 수행을 위하여 멀티 에이전트 기반 구조를 제안한다. 마지막으로 사용자 프로파일을 통한 관심정보를 고려하여 개인화된 서비스 제공을 위한 방안을 제안한다.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.3
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• pp.334-349
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• 2008

In this study, the network formation process of personal actors in industries for the elderly was analyzed. This process is applied to the knowledge creation model of the SECI (Nonaka-Takeuchi learning cycle), that is socialization, externalization, combination, internalization. There are some kinds of opportunities to interact in these industries in the forms of field survey teams to overseas, some seminars and symposiums, many kinds of meetings, education and training programs, trade fairs and on-line forums. These palces(ba) - originating ba, interacting ba, cyber ba, exercising ba - played great roles in the formation of personal actor networks. Personal actors had opportunities to interconnect with distant actors through those places(ba). In the spatial perspective, personal actors could make face-to-face contact and build trust through temporary geographical proximity or temporary clusters with the help of personal mobility. Relations in the virtual spaces such as the Internet community did much toward building personal networks.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.66-67
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• 2020

본 논문에서는 기 구축된 케이블 방송망 인프라 교체에 따른 경제적 부담을 줄이면서도 효과적으로 네트워크 개선 및 진화가 용이하도록 가입자에 근접한 지점까지 전송 장치를 위치하는 방법을 제안한다. 최근 들어 케이블 방송망은 융합화, 지능화, 개인화 형태로 발전하는 미래 방송·통신 서비스의 수요 충족에 한계를 보이고 있어 이를 해결하기 위한 전송 기술의 개발 및 네트워크 진화 등이 요구되고 있는 실정이다. 국내 케이블 방송 사업자들도 네트워크 개선 및 신규 서비스 도입 등의 노력을 시도하고 있으나 기존에 설치 및 구축된 케이블 방송·통신 인프라의 전반적인 교체에 따른 경제적 부담이 걸림돌이 되고 있다. 제안한 방법에서는 전송 장비를 셀인입점으로 이동함으로 셀 분할 비용을 절감할 수 있으며 향후 셀인입점 이후의 종단 망만 업그레이드함으로써 네트워크의 개선이 가능한 장점을 가진다.

• The Journal of the Korea Contents Association
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• v.9 no.3
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• pp.99-107
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• 2009

As the information and the network technology are improved, the system which can express the interactions between the individuals becomes to play more important roles in these days. In fact, that tendency is especially well shown in the community area of P2P and social network service programs. This paper suggest an intelligent character manipulation system which can be effectively used to express emotional representation in an intelligent way in spite of many constraints. The system employs an emotion searching mechanism by attaching emotional information to each object in the database and defining a function of emotional similarity. It is expected that the system can be successfully used not only to find and represent the suitable emotional character representations but also to provide brand new services in the area of mobile platform based contents.

• The Journal of the Acoustical Society of Korea
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• v.28 no.5
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• pp.409-415
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• 2009

The head-related transfer function (HRTF), which has an important role in virtual sound localization has different characteristics across the subjects. Measuring HRTF is very time-consuming and requires a set of specific apparatus. Accordingly, HRTF customization is often employed. In this paper, we propose a method to search an adequate HRTF from a set of the HRTFs. To achieve rapid and reliable customization of HRTF, all HRTFs in the database are partitioned, where a binary search tree was employed. The distortion measurement adopted in HRTF partitioning was determined in a heuristic way, which predicts the differences in perceived sound location well. The DC-Davis CIPIC HRTF database set was used to evaluate the effectiveness of the proposed method. In the listening test, where 10 subjects were participated, the stimuli filtered by the HRTF obtained by the proposed method were closer to those by the personalized HRTF in terms of sound localization. Moreover, performance of the proposed method was shown to be superior to the previous customization method, where the HRFT is selected by using anthropometric data.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.9
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• pp.603-614
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• 2013

The popularity of mobile devices provides their users with a circumstance that services and information can be accessed wherever and whenever users need. Accordingly, various studies have been proposed personalized methods to improve accessibility of mobile users to information. However, since these personalized methods require users' private information, they gives rise to problems on security. An efficient way to resolve security problems is to estimate user information by using their online and offline behavior. In this paper, for this purpose, it is proposed a novel user information identification system that identifies users' personal and social information by using both his/her behavior on social network services and proximity patterns obtained from GPS data. In the proposed system, personal information of a user like age, gender, and so on is estimated by analyzing SNS texts and POI (Point of Interest) patterns, while social information between a pair of users like family and friend is predicted with proximity patterns between the users. Each identification module is efficiently designed to handle the characteristics of user data like much noise in SNS texts and missing signals in GPS data. In experiments to evaluate the proposed system, our system shows its superiority against ordinary identification methods. This result means that the proposed system can efficiently reflect the characteristics of user data.

• Defense and Technology
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• no.6 s.268
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• pp.50-59
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• 2001

야간 근접전투의 원활한 수행을 위하여 전장감시 및 정밀 조준사격을 위한 조준경 개발은 매우 중요하다. 영상증폭장비 및 열상장비의 특성을 고려한 무기체계 개발은 지속적으로 추진되어야 할 것이다. 그리고 현재 기술수준을 고려시 개인화기 조준경은 무게가 가볍고 부피가 작으며 운용성면에서 월등히 유리한 영상증폭방식이 야간전용의 단일기능으로 개발이 요구되며, 악천후시 탐지능력이 우수하나 무겁고 부피가 크며 전력소모가 많은 열상장비는 공용화가 조준경 및 관측경 등으로 개발이 요구된다.