• Title/Summary/Keyword: 윤석환

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초고속 정보통신 새 시대를 대비한 기술개발 전략 (On the R&D Strategy for the new era of Gigabit Information Technology)

  • 윤석환
    • 기술사
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    • 제29권5호
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    • pp.99-103
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    • 1996
  • In this paper we discuss Gigabit information communication service utilizing Gigabit information super-highway, multimedia data processing technology for the services, multimedia communication protocol for transmitting multimedia data and construction of Gigabit information communication network which can be accessed everywhere and present items which should be tactically prepared for high-level information society of the 21 st century.

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Stainless Steel Loose Tube의 고속 PALW 공정 열해석 (Heat Transfer Analysis of High Speed PALW for SSLT)

  • 조정호;박태완;나석주;윤석환;황재련;원용희;김태성;이상훈
    • 대한용접접합학회:학술대회논문집
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    • 대한용접접합학회 2004년도 춘계 학술발표대회 개요집
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    • pp.112-114
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    • 2004
  • 현재 다발의 광섬유를 생산하기 위해서는 Fig. 1과 같이 stainless steel strip으로 광섬유들을 둘러싸고, 이를 레이저로 용접하여 광섬유 튜브를 생산하는 방법이 이용되고 있다. (중략)

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클러스터링 성능평가: 신경망 및 통계적 방법 (A Study on Performance Evaluation of Clustering Algorithms using Neural and Statistical Method)

  • 윤석환;신용백
    • 기술사
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    • 제29권2호
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    • pp.71-79
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    • 1996
  • This paper evaluates the clustering performance of a neural network and a statistical method. Algorithms which are used in this paper are the GLVQ(Generalized Loaming vector Quantization) for a neural method and the k -means algorithm for a statistical clustering method. For comparison of two methods, we calculate the Rand's c statistics. As a result, the mean of c value obtained with the GLVQ is higher than that obtained with the k -means algorithm, while standard deviation of c value is lower. Experimental data sets were the Fisher's IRIS data and patterns extracted from handwritten numerals.

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동적 모형에 의한 예측치의 정도 향상에 관한 연구 (A Study on increasing the fitness of forecasts using Dynamic Model)

  • 윤석환;윤상원;신용백
    • 산업경영시스템학회지
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    • 제19권40호
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    • pp.1-14
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    • 1996
  • We develop a dynamic demand forecasting model compared to regression analysis model and AutoRegressive Integrated Moving Average(ARIMA) model. The dynamic model can apply to the current dynamic data to forecasts through introducing state equation. A multiple regression model and ARIMA model using given data are designed via the model analysis. The forecasting fitness evaluation between the designed models and the dynamic model is compared with the criterion of sum of squared error.

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GSTARS 모형을 이용한 하상변동 모의 (Simulation of River Bed Change using GSTARS model)

  • 안상진;윤석환;연인성;곽현구
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 2002년도 학술발표회 발표논문집
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    • pp.297-300
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    • 2002
  • Semi-two dimension numerical models were applied to study on the hydraulic and sedimentologic characteristics of upstream and downstream channel section in Dal stream. The feature of this paper is (1) to analyse the effects of bed changes by sediment transport formulas, (2) to analyse the effects of bed changes by stream tube. The simulation results of Meyer-peter and Muller formula for long-term bed changes are good when compared to the measured data.

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Colon Study(Teleflator)의 Bowel Preparation Fail로 인한 재검사 감소방안에 관한 연구 (To Find a Solution for Reducing Reexaminations Owing to Bowel Preparation Failure in Colon Study (Teleflator))

  • 윤석환;조승영;조남수
    • 대한방사선협회지
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    • 제30권1호
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    • pp.143-147
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    • 2004
  • Colon study(Teleflator) is the simplest and most effective method for diagnosing colon disease. However, if bowel preparation is insufficiently done, diseases such as polyps, cancer and inflammatory bowel disease could be mistaken for lesions. As a result

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