• KIISE Transactions on Computing Practices
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• v.20 no.10
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• pp.561-566
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• 2014

There are growing demands for improving the patient safety and the effectiveness of medical services through device connectivity and interoperability. However, integration through networking might greatly increase the complexity of the system if it is not properly designed, jeopardizing patient safety. In this paper, we codify safe medical device interaction patterns, and exploit them for the low complexity design and safety analysis of networked supervisory medical systems. We implement the proposed approach as a plug-in of Architecture Analysis and Description Language (AADL). Our implementation enables the modeling and safety analysis of medical devices and their interactions before actual development.

• Journal of Korean Library and Information Science Society
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• v.29
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• pp.241-272
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• 1998

The purpose of this paper is to examine the analytic-assembling(faceted analysis) methods applied in enumerative-hierarchical classification schemes. (mainly in KDC) The methods are summarized as follows : 1. For the enumerative-hierarchical classification schemes, in principle the subjects are divided into subdivisions by only one facet at the same level, and step by step. However some subjects, for example 'library and information science' 'education' and others in KDC, are divided into subdivisions by multiple facets at same level like Colon Classification. 2. Most of enumerative-hierarchical classification schemes have various kinds of auxiliary tables, such as standard subdivisions, areas, periods, and languages. Each of them is considered as foci by a facet applied to subdivide all kinds of subjects or some special subjects into lower level. 3. To classify the compound subjects with phase relation, KDC provides ready-made classification numbers or notes that says 'divide by 001-999'(whole subjects) of 'divide by xxx-xxx'(limited scope of subjects). The ready-made compound subjects, or subdividing by whole or limited scope of subjects are similar to representation of phase relation in Colon Classification. Yet these analytic-assembling methods in KDC are needed to be supplemented and amended. Subdividing methods for faceted analysis have to be unified through the whole schedule. The auxiliary tables should be enlarged and subdivided more specifically. And for representation of phase relation, the linking signs can be useful in KDC as well as UDC and other analytic-assembling classification schemes like Colon Classification.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.11C
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• pp.1189-1195
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• 2002

Recently, a number of Telecommunication Business Incubators have been established and operated with aims to promote start-ups of small and venture business. To give satisfactory results of governmental policy, there are required developing the evaluation model to support effective operations of business incubators using the objective and rational criteria. This study based on classification of evaluation factors by analytic hierarchy process. We analysed the weights of this factors and suggested the evaluation model of business incubator using the evaluation scale. Also, we evaluated 39 business incubators by suggested model, and were revealed the scores of ranging from 67 to 77 in the graduated firm's data from business incubators.

• 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.

• Journal of the Korean Society for Library and Information Science
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• v.43 no.1
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• pp.215-234
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• 2009

This study aims to perform an evaluation of directory services provided by major Korean search portals: Naver, Daum, Yahoo-Korea, and Empas. A directory service of Open Directory is also compared. These directory services are evaluated in terms of the coverage, category creation criteria, site selection criteria, breadth and depth of hierarchy, clarity and currency of category names, order of category listing, and overall classification system. The results of this study can be implemented for the development and improvement of portal's directory services. Users can refer to the results of this study in choosing directory services from search portals.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.195-197
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• 2011

This research deals with an issue of preventive medicine in bioinformatics. We can diagnose liver conditions reasonably well to prevent Liver Cirrhosis by classifying liver disorder patients into fatty liver and high risk groups. The classification proceeds in two steps. Classification rules are first built by clustering five attributes (MCV, ALP, ALT, ASP, and GGT) of blood test dataset provided by the UCI Repository. The clusters can be formed by the K-mean method that analyzes multi dimensional attributes. We analyze the properties of each cluster divided into fatty liver, high risk and normal classes. The classification rules are generated by the analysis. In this paper, we suggest a method to diagnosis and predict liver condition to alcoholic patient according to risk levels using the classification rule from the new results of blood test. The K-mean classifier has been found to be more accurate for the result of blood test and provides the risk of fatty liver to normal liver conditions.

• Korea journal of population studies
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• v.23 no.1
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• pp.55-89
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• 2000

이 논문의 목적은 현재 40-50대의 중년층과 노부모 사이에 이루어지는 세대관계의 심층적 구조를 밝히고, 이 구조에 영향을 미치는 제반요인들을 설명하는데 있다. 그리고 세대관계의 유형에 따라 중년층 자신의 노후부양태도와 노후생활에 대한 대책행위가 어떻게 달라지는가를 분석하였다. 이 연구를 위해 구조화된 질문지를 활용하는 전국전인 면접조사가 이루어졌다. 이 논문은 중년층과 노부모의 세대관계를 세대간 근접성, 지원가능, 그리고 노부모 부양관 에 따라 다섯 가지 유형으로 분류하였다. 중년층의 지배적인 세대관계는 노부모와 별거하면서 지원기능을 유지하는 형태로 나타났다. 별거사항에서 이루어지는 지원관계에는 중년층의 사회 계층적 지위나 노부모와의 정서적 연대와 관련된 요인들이 중요하게 작용하는 것으로 밝혀졌다. 중년층 자신의 노후생활에 대한 부양관과 노후대책 행위는 세대관계의 유형에 따라 유의미한 차이가 존재한다. 근접성, 지원관계, 노부모 부양관 모두에서 전통적인 세대관계를 유지하는 중년층은 자신의 노후생활에 대해서도 가족의 부양을 강조하며, 독립적인 노후대책을 마련하는데 소극적이다. 반면, 노부모와 동거하고 지원기능을 유지하더라도 노부모부양관이 약한 증년층은, 자신의 노후 생활에 대하여 독립성을 강조하고, 스스로 노후대책을 마련하는데 적극적인 것으로 확인되었다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.13 no.1
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• pp.115-127
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• 2000

The purpose of this study is to propose the Design Object Model for implementation of an integrated structural design system for building structures. This study outlines the step-by-step development methodologies of the Design Object Model, which covers classification and modeling of the building design information. The Design Object Model has been efficiently developed through the proposed development methodologies. As a result, the Design Object Model has been proved to be efficient in design information management by representing the information from planning perspective, in recognition of structural member in space by the topology design object, and in representation of analysis s design information.

• Informatization Policy
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• v.20 no.3
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• pp.43-62
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• 2013

This study aims to derive primary policy challenges for the continuous diffusion of the smart work centers in the public sector by using the AHP survey. The policy challenges in the AHP survey were categorized into three aspects, namely technology, system, and awareness. The technology sector was divided into the improvement of smart work-related ICT and the facility improvement in a smart work center. The system sector was divided into the legal system and implementation system. The awareness sector was divided into organizational culture and individual awareness. Among total 12 policy challenges, the results of the AHP analysis showed that the improvement of the organizational culture was the policy issue of the highest priority in terms of importance and urgency.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.5
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• pp.1026-1035
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• 1997

In this paper, we studied for phoneme recognition using GPFN and PNN as a kind of RBFN. The structure of RBFN is similar to a feedforward networks but different from choosing of activation function, reference vector and learnign algorithm in a hidden layer. Expecially sigmoid function in PNN is replaced by one category included exponential function. And total calculation performance is high, because PNN performs pattern classification with out learning. In phonemerecognition experiment with 5 vowel and 12 consant, recognition rates of GPFN and PNN as a kind of RBFN reflected statistic characteristic of speech are higher than ones of MLP in case of using test data and quantizied data by VQ and LVQ.