• Journal of the Korean BIBLIA Society for library and Information Science
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• v.23 no.1
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• pp.5-26
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• 2012

Mapping FRSAD and other ontology models intends to suggest a higher knowledge level that is independent of any information implementation system or specific context, and to endeavor to focus on the semantics, knowledge structures, subject access, and interoperability. Providing an application of FRSAD model to information environment and representing and sharing the information within the library sector and beyond, there needs encoding scheme for knowledge representation. This study suggested an OWL based ontology architecture for FRSAD model and demonstrated the pilot FRSAD ontology model using Prot$\acute{e}$g$\acute{e}$ software.

• 한국정보통신설비학회:학술대회논문집
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• 2004.08a
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• pp.254-257
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• 2004

위성신호를 매개로 국가표준에 전국의 모든 노드클럭이 동시에 동기될 수 있는 새로운 형태의 망 동기 클럭 공급 시스템을 제안하였으며 이 방식에 의한 실용화 가능성을 확인하였다. 본 논문에서 새로이 제시하는 방식은 단계적인 물리계층에 의해 동기되던 종래의 방식에 비해 모든 슬레이브 국소들이 동시에 동일한 계위의 품질로 동기 될 수 있는 등의 여러 가지 구조적인 장점을 갖고 있다. 서로 멀리 떨어진 지역에서 같은 위성신호를 동시에 측정하여 얻은 시간차데이터를 활용함으로써 위성을 매개로한 기준클럭과 원격지의 슬레이브클럭과의 위상차를 실시간적으로 측정할 수 있었으며, 컴퓨터 제어에 따라 이들 차이를 보상함으로써 전국의 여러노드에서 멀리 떨어진 기준클럭에 위상동기되는 신개념의 슬레이브 클럭 동기시스템을 설계하고 제작하였다. 이 시스템의 측정결과 $10^{-12}$ 이하의 주파수정확도를 유지하였으며 ITU-T의 권고(G.811)를 충분히 만족하는 MTIE 특성을 보여주었다. 현재 전체적으로 자동화 기능을 갖는 초기모델이 구현되었으며 가까운 시일내에 상용화연구를 통해 디지털 통신망의 동기용 노드클럭으로 사용될 수 있으리라 기대한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.11
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• pp.2862-2868
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• 1996

A sueueing model is developed and analyzed to evaluate the performance of a local and a remote destination of one multicast connection subject to a simple two-level(binary) feedback-based adaptive rate control scheme. The reate control scheme is a simple extension of the one for point-to-point case. Individual cell loss probabilities at the local and remote destinations are obtained to study the fairness of the adaptive rate control scheme. Numerical results show that this simple adaptive rate control scheme, which is fair when it is applied to a multicast connection consisting of destinations with equal propagation delays, bears bias against remote destination.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.3
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• pp.8-13
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• 2007

The context-aware environment focuses on recognizing the context and physical entities. For this reason, there has been an increasement in research of context-aware computing environment. Ontology-based context models are widely used in ubiquitous environment because of context sharing and reusing. In this paper, we propose a proactive retrieval method using ontology in context-aware environment. The method use a concept level of hierarchical concept tree in ontology for more efficient retrieval. This paper describes the proactive retrieval method and ontology model. Several experiments are performed and the results verify that the proposed method's efficiency is better than other existing methods.

• Journal of Internet Computing and Services
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• v.5 no.3
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• pp.87-98
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• 2004

There are several types of distributed subscribers network using Asymmetric Digital Subscriber Line (ADSL), Very high-bit rate Digital Subscriber Line (VDSL), and Data Over Cable Service Interface Specifications (DOCSIS), The efficient and concentrated network management of those several distributed subscribers networks and resources require the general information model of network, which has abstract and conceptional managed objects independent of type of network and its equipment to manage the integrated subscriber network, This paper presents the general Internet subscribers network modeling framework using RM-ODP (Reference Model Open Distributed Processing) to manage that network In the form of integrated hierarchy, This paper adopts the object-oriented development methodology with UML (Unified Modeling Language) and designs and implements the HFC network of DOCSIS as an example of the subscriber network.

• Proceedings of the KIEE Conference
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• 2007.04a
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• pp.204-206
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• 2007

In this study, we introduce the optimization method of fuzzy inference systems that is based on Hierarchical Fair Competition-based Parallel Genetic Algorithms (HFCGA) and information data granulation, The granulation is realized with the aid of the Hard C-means clustering and HFCGA is a kind of multi-populations of Parallel Genetic Algorithms (PGA), and it is used for structure optimization and parameter identification of fuzzy model. It concerns the fuzzy model-related parameters such as the number of input variables to be used, a collection of specific subset of input variables, the number of membership functions, the order of polynomial, and the apexes of the membership function. In the optimization process, two general optimization mechanisms are explored. The structural optimization is realized via HFCGA and HCM method whereas in case of the parametric optimization we proceed with a standard least square method as well as HFCGA method as well. A comparative analysis demonstrates that the proposed algorithm is superior to the conventional methods. Particularly, in parameter identification, we use the UNDX operator which uses multiple parents and generate offsprings around the geographic center off mass of these parents.

• Journal of Labour Economics
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• v.32 no.3
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• pp.91-121
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• 2009

Utilizing the fact that student allocation to private or public high schools in Korea is done randomly within a given school district, this study conducted a natural experiment, free from selection bias, to analyze whether private schools are more effective than public schools in terms of enhancing students' academic performance. After analyzing a model that controls the fixed effects of school districts, it was found that private schools do not have a statistically significant impact compared to public schools with respect to improving academic records. Nevertheless, the private school effect has shown a positive value equivalent to 0.13 standard deviation for female students at the highest academic levels.

• The Journal of the Korea Contents Association
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• v.5 no.2
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• pp.39-51
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• 2005

A study of philosophy is a process that archive, reorganize and analyze the earlier works to discover new facts. Philosophy digital resources is necessary to research philosophy because they provide lots of electronic texts, philosophical information, forums, etc. In this paper, we introduce . our result of a research on philosophy digital resources existing in domestic or oversea web sites. We describe the problems which existing resources have and our solution to solve them. Also we provide a guideline to creating philosophy ontology based on topic maps which are data model of ontology. Our philosophy ontology defines hierarchy and associative relationships between philosophical knowledge and support retrieval and exploring of knowledge using semantic information.

• Archives of design research
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• v.13 no.1
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• pp.131-138
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• 2000

The evaluation of design is one of the most important steps in design process. However, because in most cases, design evaluation has been disregarded in comparison with other steps and has been performed by designer's subjective judgment. there are few studies for the development of systematic methodology. In this study, we developed the method of design evaluation using the fuzzy theory and the multi-criteria dedsion making model. This method consists of two steps. The first step is to obtain relative importance weights of design evaluation criteria, and the second step is to obtain and integrate scores for design evaluation criteria. AHP(analytic hierarchy process) and fuzzy theory were applied to the first and the second step, respectively. We applied the developed method to the sensible evaluation of cellular phone design. As the result, we verified that the developed method could be effectively used in the evaluation of product design.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.263-264
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• 2013

기존의 도서관 정보서비스는 도서관 업무담당자에 의한 1:n 방식의 온라인 지식서비스만을 강조하였다면 스마트 도서관시스템에서는 빅데이터를 통해 지식을 생성, 검증, 분류하여 지능형지식, 실감형지식, 맞춤형지식, 체험형지식 등을 제공할 수 있다. 또한 빅데이터를 활용한 다자간 콘텐츠 공유, 상호 의견 교환이 가능하며, 집단지성에 의해 구축되는 학습 콘텐츠 및 지식 베이스는 국가의 지식자원 경쟁력을 향상시킬 수 있으며, 차세대 이러닝 환경에서의 지능형 튜터링을 통해 창의적 인재육성, 공교육의 질적 향상, 사교육비 절감, 교육 기회 균등 배분, 지역 및 계층 간 위화감 해소 등 국가정책 목표 실현할 수 있다. 제안된 빅데이터 기반의 스마트도서관 정보서비스시스템에서는 멀티테넌트 환경에서 구현이 가능한 핵심요소들을 개발하였다. 그러므로 초기 투자비용이 거의 없고, 쉽고, 간편하며, 저비용 IT 서비스가 가능한 SaaS 기반의 소프트웨어 온-디멘드 방식의 서비스 모델로 시스템을 구현하였다. 또한 연결방식으로는 N고객:1인스턴스, 제공 프로그램은 동일한 코드 사용, 커스터마이징은 고객이 테넌트별 환경 설정을 통해서 직접 수정가능, 데이터는 테넌트별 자료를 공유해서 사용할 수 있으며 기존의 디지털도서관 시스템 서비스의 단점을 해결할 수 있도록 성능을 개선하였다.