• Title/Summary/Keyword: Knowledge generation

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A Prototype of Telepresent Surgical Simulation System (원격 모의 수술 시스템 프로토타입)

  • 남상아
    • Journal of the Korea Society for Simulation
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    • v.6 no.2
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    • pp.31-44
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    • 1997
  • In medical applications, the cooperation work using computer network is in the spotlight as next generation technology, because it offers sharing of equipments, knowledge of specialists, and data and surmounts the limitations of geographical position and time. We present a prototype of telepresent surgical simulation system in this treatise. It is a telemedicine system using volume image, which is reconstructed from radiological images such as MRI and CT. It is used as a tool for surgical simulation among telepresent doctors. It provides the functions of conference control, volume reconstruction and manipulation, and multimedia database management among one server and multi-clients through high-speed network. It is implemented on Unix workstation using X-windows and C language, TCP/IP protocol and UNiSQL as DBMS.

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A Statistical Review on the changes in the Structure of Households with the Elderly in Seoul, Taegu (노인주택공급을 위한 고령자가구구성의 변화에 관한 통계적 연구 -서울과 대구를 중심으로-)

  • 배정인
    • Journal of the Korean housing association
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    • v.11 no.1
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    • pp.89-102
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    • 2000
  • This paper aims to analyze the changes in the structure of households with the eldery in Seoul and Taegu by time trands, using census data. The conclusions are as follows: The rate of the Single and Couple and Couple+Parent(s) Households with the eldery have been increasing. The rate of 3,4 generation households with the eldery has been decreasing. The trend towards single and Couple Households in Taegu was higher than that in Seoul. The result this paper is opposite to common knowledge that in general the speed of change in the large city is higher than that of in country town. And it is coincide with the results of the former papers of the writer.

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A Study on Transforming ICT Research Information Service into Semantic Web Environment

  • Song, Jong-Cheol;Moon, Byung-Joo;Jung, Hoe-Kyung
    • Journal of information and communication convergence engineering
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    • v.5 no.3
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    • pp.249-253
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    • 2007
  • The Research on the ICT(Information & Communication Technology) is proposed the category to IT839 strategy by Government. Government is driving to researching on technology about IT839 Strategy. By transforming this category and research information into Semantic Web environment, it is possible to search function utilizing knowledge base and information object by use of TBox and ABox. In this regard, this study proposes technology for generation of Semantic Web Document about ICT Research Information. The ontology is constructed by using category to IT839 Strategy. The features of framework proposed in this study is to have used a skill to directly map Ontology instance and in case of inability of direct mapping, proposed a skill to establish reliable Semantic Web Document by suggesting indirect mapping skill using mechanical study. In addition, it is possible to establish low cost/high quality Semantic Web Document about ICT research information.

An Improved Algorithm of the Daily Peak Load Forecasting fair the Holidays (특수일의 최대 전력수요예측 알고리즘 개선)

  • Song, Gyeong-Bin;Gu, Bon-Seok;Baek, Yeong-Sik
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.51 no.3
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    • pp.109-117
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    • 2002
  • High accuracy of the load forecasting for power systems improves the security of the power system and generation cost. However, the forecasting problem is difficult to handle due to the nonlinear and the random-like behavior of system loads as well as weather conditions and variation of economical environments. So far. many studies on the problem have been made to improve the prediction accuracy using deterministic, stochastic, knowledge based and artificial neural net(ANN) method. In the conventional load forecasting method, the load forecasting maximum error occurred for the holidays on Saturday and Monday. In order to reduce the load forecasting error of the daily peak load for the holidays on Saturday and Monday, fuzzy concept and linear regression theory have been adopted into the load forecasting problem. The proposed algorithm shows its good accuracy that the average percentage errors are 2.11% in 1996 and 2.84% in 1997.

Knowledge-Based Model for Forecasting Percentage Progress Costs

  • Kim, Sang-Yong
    • Journal of the Korea Institute of Building Construction
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    • v.12 no.5
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    • pp.518-527
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    • 2012
  • This study uses a hybrid estimation tool for effective cost data management of building projects, and develops a realistic cost estimation model. The method makes use of newly available information as the project progresses, and project cost and percentage progress are analyzed and used as inputs for the developed system. For model development, case-based reasoning (CBR) is proposed, as it enables complex nonlinear mapping. This study also investigates analytic hierarchy process (AHP) for weight generation and applies them to a real project case. Real case studies are used to demonstrate and validate the benefits of the proposed approach. By using this method, an evaluation of actual project performance can be developed that appropriately considers the natural variability of construction costs.

Improving Rule Generation Precision for Wrappers using Domain Knowledge (도메인 지식을 이용한 랩퍼에서 규칙 생성 정확도 향상)

  • 정창후;서정현;류범종;맹성현
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.04a
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    • pp.662-664
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    • 2003
  • 기존의 도메인 지식 기반의 랩퍼 학습 방법은 도메인에 대한 정보를 바탕으로 해당 정보 소스에 대한 렙퍼를 생성한다. 응응 분야에 맞게 정의된 도메인 지식을 이용함으로써 정보 소스에서 제공하는 다양한 텍스트의 의미와 형태를 이해할 수 있다. 그러나 정보 소스에서 제공되는 모든 텍스트에 의미 인식의 근거가 되는 레이블이 붙어서 제공되는 것이 아니기 매문에, 도메인 지식만을 이용해서 랩퍼를 학습하는 방법은 한계에 부딪힐 수 밖에 없다. 이러한 문제를 해결하기 위해서 본 논문은 인터넷에 존재하는 다양한 웹 정보 소스에서 효율적이고 정확하게 랩퍼를 생성할 수 있도록 하는 도매인 지식 기반의 확률적 랩퍼 생성 시스템을 제안한다. 효율적이고 정확한 랩퍼 생성 시스템을 구축하기 위해서 도메인 지식뿐 아니라 상세 정보로 연결되어 있는 하이퍼렁크와 엔티티 인식을 위한 확률모델을 이용하였다. 이렇게 여러 가지 방법을 적용함으로써 사용자의 개입없이 다양한 정보 소스에 대해서 보다 추출 성능이 좋은 랩퍼를 생성할 수 있다.

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Study on the Policies to promote the Industrialization of the u-Learning (u-러닝 산업 활성화를 위한 정책에 관한 연구)

  • Baik, Kwang-Hyun;Kim, Kyung-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.8 no.6
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    • pp.1673-1681
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    • 2007
  • The u-Learning just begins to emerge as the next-generation knowledge-based business. Since it has a great potential to become a high value-added industry, there is much attention paid in this field. In this work, we first summarized the concept of the u-Learning where the architecture of various u-learning areas has been identified. Then we investigated the current status and problems of the u-Learning industry. Through the SWOT analysis, we have extracted the political strategies that will be essential for the rapid industrialization of u-Learning which will, in turn, contribute much to enhance the competitiveness of national economy.

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TVML (TV program Making Language) - Automatic TV Program Generation from Text-based Script -

  • Masaki-HAYASHI;Hirotada-UEDA;Tsuneya-KURIHARA;Michiaki-YASUMURA
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1999.06a
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    • pp.151-158
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    • 1999
  • This paper describes TVML (TV program Making Language) for automatically generating television programs from text-based script. This language describes the contents of a television program using expression with a high level of abstraction like“title #1”and“zoom-in”. The software used to read a script written in TVML and to automatically generate the program video and audio is called the TVML Player. The paper begins by describing TVML language specifications and the TVML Player. It then describes the“external control mode”of the TVML Player that can be used for applying TVML to interactive applications. Finally, it describes the TVML Editor, a user interface that we developed which enables users having no specialized knowledge of computer languages to make TVML scripts. In addition to its role as a television-program production tool. TVML is expected to have a wide range of applications in the network and multimedia fields.

The Generation and Analysis of Human Network in Knowledge Management (지식 경영에서의 휴먼 네트워크의 생성과 분석)

  • 윤병운;최광식;박용태
    • Proceedings of the Technology Innovation Conference
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    • 2002.02a
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    • pp.225-236
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    • 2002
  • 기업 전략 경영의 자원기반 접근방법(resource based approach)에서 핵심역량에 대한 중요성이 부각되면서 지식이 기업 핵심역량의 원천의 하나로 인식되고 있으며 지식 근로자는 지식 사회의 중심적 역할을 할 것으로 기대되고 있다. 그러나 지금까지 지식 경영을 도입하고 있는 기업의 반 이상이 가시적 성과를 얻지 못하고 있는 실정이며 이것은 지식경영을 단순한 정보기술로 간주하거나 명확한 목표와 전략 없이 도입하는 데에서 기인한다고 볼 수 있다. 본 연구는 지식의 원천이 데이터베이스나 인터넷보다는 사람의 머리 속에 더 풍부하게 존재한다는 측면에서 휴먼 네트워크를 생성하고자 하였다. 이를 위하여 지식의 흐름을 정의하고 지식 행렬을 산출하며 이를 토대로 조직의 구성원간의 네트워크를 생성한다. 마지막으로는 각 구성원들의 중요도와 네트워크의 구조적 특성을 분석하였다. 이 결과는 지식 경영에서의 전략을 수립하는 데 의미 있는 정보를 제공할 수 있을 것이다.

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A Study on the Environmentally Conscious Machining Technology Cutting Fluid Atomization and Environmental Impact in Grinding Operation (I) (환경 친화적 기계가공 기술에 관한 연구 연삭공정에서의 절삭유 미립화와 환경영향(I))

  • Hwang Joon;Chung Eui-Sik
    • Journal of the Korean Society for Precision Engineering
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    • v.22 no.6 s.171
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    • pp.61-69
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    • 2005
  • This paper presents the experimental results to analyze the atomization characteristics and environmental impact of cutting fluid in grinding process. Grinding is a major machining process to improve surface quality with different machining mechanism which is compared with turning or milling process. The environmental impact due to aerosol generation via grinding process is a major concern associated with environmental consciousness. Experimental results show that the generated fine aerosol which particle size less than 10 micron appears near working zone under given operational conditions. The aerosol concentration is much higher enough to affect human health risk with its generated aerosol quantities. This study can be provided a basic knowledge fur further research of environmental consciousness machining development.