• Title/Summary/Keyword: flow mapping

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UMM 적용을 위한 IDEF 매핑 방법에 대한 연구 (A Study on the Mapping Guideline of IDEF for UMM Adaptation)

  • 신기태;박찬권;심억수;김은갑
    • 경영과학
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    • 제21권2호
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    • pp.61-77
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    • 2004
  • As various methodologies for business process analysis and design have been conducted in many organizations by their own ways, those methodologies are not compatible each other. In order to reduce the cost of analysis for organizations. some mapping methods between different methodologies need to be developed. UMM(UN/CEFACT Modeling Methodology) that has an object-oriented point of view. can overcome the limits of existing bottom-up approaches and make it reasonable. It also simplifies the business and administrative procedures. IDEF( Integrated Definition Language) with a structural point of view that has been widely used as a system analysis and design method, needs to be mapped to UMM in order to reuse the existing IDEF models. In this study, we propose a guideline that deals with procedures of utilizing IDEF models from which we want to derive the UMM models for developing an electronic commerce system including electronic documents exchange. By comparing IDEF and UMM, we analyze the differences between those two methodologies. Based on these differences. we suggest the basic strategies for mapping method from IDEF to UMM. We also propose a mapping guideline that can make UMM results from the modeling results of IDEF. We can take an advantage of the existing IDEF analysis design results when we adopt UMM methodology for electronic business system. Many analysts who are familiar with the IDEF methodology can develop UMM work-flow by utilizing their existing results and skills.

압출공정에서의 균일한 혼합체 제조를 위한 카오스 혼합연구 (Study of Chaotic Mixing for Manufacturing Uniform Mixtures in Extrusion Processes (Development of New Numerical Mapping Methods))

  • 김은현
    • 유변학
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    • 제8권3_4호
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    • pp.187-198
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    • 1996
  • 최근에 본 연구자에 의해서 단축 스크류 공정에서 카오스 스크류라고 명명되어진 카오스 혼합장치가 성공적으로 개발되었다. 기하학적 조건이나 공정조건에 대한 설계변수로 카오스 스크류를 설계하기 위하여 체류시간, 포인카레 단면 그리고 혼합패턴등에 대한 계산 과 해석이 이루어져야 하는데 이를 단지 Runge-Kutta 방법에 의해 속도장을 적분한다면 상당한 계산시간이 소비된다. 이러한 수치문제를 극복하기 위하여 본논문에서는 새로운 사 상법을 제안한다. 이 방법으  사용하면 벽면 근처의 특이점 영역에서도 수치문제가 해결된 다. 본 논문에서 제안하는 수치사상법은 Runge-Kutta 방법에 비하여 수치계산의 효율성과 정확도 면에서, 특히 유안요소법으로 얻은 속도장에 대하여 우수함이 밝혀졌다. 이러한 사상 법은 공간주기 유동장뿐만 아니라 시간주기 유동장에서 적용할수 있다.

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신경망을 이용한 온도장 측정법 개선 방안 (Improvements of Temperature Field Measurement Technique using Neural Network)

  • 황태규;문지섭;장태현;도덕희
    • 한국가시화정보학회:학술대회논문집
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    • 한국가시화정보학회 2004년도 추계학술대회 논문집
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    • pp.52-55
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    • 2004
  • Thermo-chromic Liquid Crystal(TLC) particles were used as temperature sensor for thermal fluid flow. $1K\times1K$ CCD color camera and Xenon Lamp(500W) were used for the visualization of a Hele-Shaw cell. The characteristic between the reflected colors from the TLC and their corresponding temperature shows strong non-linearity. A neural network known as having strong mapping capability for non-linearity is adopted to quantify the temperature field using the image of the flow. Improvements of color-to-temperature mapping was attained by using the local color luminance (Y) and hue (H) information as the inputs for the constructed neural network.

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신경망 적용의 온도장 측정법 개선 방안 (Improvements of Temperature Field Measurement Technique using Neural Network)

  • 도덕희;김동혁;방광현;문지섭;홍성대;장태현;황태규
    • Journal of Advanced Marine Engineering and Technology
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    • 제29권2호
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    • pp.209-216
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    • 2005
  • Thermo-chromic Liquid Crystal(TLC) particles were used as temperature sensor for thermal fluid flow. 1K $\times$ 1K CCD color camera and Xenon Lamp(500w) were used for the visualization of a Hele-Shaw cell The characteristic between the reflected colors from the TLC and their corresponding temperature shows strong non-linearity A neural network known as having strong mapping capability for non-linearity is adopted to quantify the temperature field using the image of the flow. Improvements of color-to-temperature mapping was attained by using the local color luminance (Y) and hue (H) information as the inputs for the constructed neural network.

SIMULATION OF REGIONAL DAILY FLOW AT UNGAGED SITES USING INTEGRATED GIS-SPATIAL INTERPOLATION (GIS-SI) TECHNIQUE

  • Lee, Ju-Young;Krishinamursh, Ganeshi
    • Water Engineering Research
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    • 제6권2호
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    • pp.39-48
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    • 2005
  • The Brazos River is one of the longest rivers contained entirely in the state of Texas, flowing over 700 miles from northwest Texas to the Gulf of Mexico. Today, the Brazos River Authority and Texas Commission on Environmental Quality interest in drought protection plan, waterpower project, and allowing the appropriation of water system-wide and water right within the Brazos River Basin to meet water needs of customers like farmers and local civilians in the future. Especially, this purpose of this paper primarily intended to provide the data for the engineering guidelines and make easily geological mapping tool. In the Brazos River basin, many stream-flow gage station sites are not working, and they can not provide stream-flow data sets enough for development of the Probable Maximum Flood (PMF) for use in the evaluation of proposed and existing dams and other impounding structures. Integrated GIS-Spatial Interpolation (GIS-SI) tool are composed of two parts; (1) extended GIS technique (new making interface for hydrological regionalization parameters plus classical GIS mapping skills), (2) Spatial Interpolation technique using weighting factors from kriging method. They are obtained from the relationship among location and elevation of geological watershed and existing stream-flow datasets. GIS-SI technique is easily used to compute parameters which get drainage areas, mean daily/monthly/annual precipitation, and weighted values. Also, they are independent variables of multiple linear regressions for simulation at un gaged stream-flow sites. In this study, GIS-SI technique is applied to the Brazos river basin in Texas. By assuming the ungaged flow at the sites of Palo Pinto, Bryan and Needville, the simulated daily/monthly/annual time series are compared with observed time series. The simulated daily/monthly/annual time series are highly correlated with and well fitted to the observed times series.

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Moving object detection in image sequences from a mobile robot

  • Lee, Chang-kyu;Kuc, Tae-Yong
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.34.1-34
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    • 2002
  • 1. Introduction 2. Focus of Expansion 3. Log-Polar Mapping 4. Egomotion and Optical Flow 5. Experimental Results 6. Conclusion. References.

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적외선 온도 측정 3차원 매핑 기법을 이용한 오자이브 실린더 표면 유동 특성 파악 (An Investigation on the Surface Flow Characteristics of Ogive-cylinder using the Infrared Ray Thermogram 3D Mapping Technique)

  • 이재호
    • 항공우주시스템공학회지
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    • 제12권4호
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    • pp.57-63
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    • 2018
  • 적외선 온도 측정 기법은 비접촉식 방법으로 모형의 표면 온도를 가시화할 수 있는 기법이다. 그러나 획득할 수 있는 결과는 2차원 온도 결과로 정량적인 결과를 획득하기에는 한계가 있다. 본 연구는 3차원 매핑 기법을 적외선 온도 측정 기법에 적용하는 것이 목표이다. 풍동 실험은 국방과학연구소에서 보유하고 있는 중형 아음속 풍동에서 수행했으며, 대상 모형은 오자이브 실린더이다. 시험 조건은 유속 20 m/s에서 80 m/s, 받음각은 $0^{\circ}{\sim}90^{\circ}$이다. 3차원 매핑 기법은 마커를 이용하여 실제 모형의 위치정보와 적외선 이미지 상의 위치 정보를 대응시키는 방법을 사용하였다. 그 결과, 모형의 박리점이 이론적인 값과 매우 일치하는 것을 확인하였다.

Flow Factor Prediction of Centrifugal Hydraulic Turbine for Sea Water Reverse Osmosis (SWRO)

  • Ma, Ying;Kadaj, Eric;Terrasi, Kevin
    • International Journal of Fluid Machinery and Systems
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    • 제3권4호
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    • pp.369-378
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    • 2010
  • The creation of the hydraulic turbine flow factor map will undoubtedly benefit its design by decreasing both the design cycle time and product cost. In this paper, the geometry and flow variables, which effectively affect the flow factor, are proposed, analyzed and determined. These flow variables are further used to create the operating condition maps by using different model approaches categorized into Response Surface Method (RSM) and Artificial Neural Network (ANN). The accuracies of models created by different approaches are compared and the performances of model approaches are analyzed. The influences of chosen variables and the combination of Principle Component Analysis (PCA) and model approaches are also studied. The comparison results between predicted and actual flow factors suggest that two-hidden-layer Feed-forward Neural Network (FFNN), and one.hidden-layer FFNN with PCA has the best performance on forming this mapping, and are accurate sufficiently for hydraulic turbine design.

0.3T MRI 시스템에서의 동.정맥 동시 획득을 위한 자기공명 혈류 영상 기법(SAAV)과 동.정맥 color mapping (MR Angiography with Simultaneous Data Acquisition of Arteries and Veins(SAAV) Method and Artery-Vein Color Mapping in 0.3T MRI System)

  • 조종운;조지연;서성만;은충기;문치웅
    • 대한의용생체공학회:의공학회지
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    • 제24권4호
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    • pp.275-280
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    • 2003
  • 일반적으로 MR Angiography(MRI)는 사전 포화방법(presaturation)을 이용하여 동맥과 정맥의 분리된 영상을 획득한다. 하지만 이러한 일반적인 사전포화방법으로 동맥과 정맥영상을 획득하기 위해서는 두 번의 영상획득이 필요하다. 따라서 본 연구에서는 동맥과 정맥의 구분된 영상을 한번의 영상획득으로 얻을 수 있는 SAAV 기법을 0.3T MRI system에 적용하고, 획득한 동맥과 정맥의 두 MRA 영상을 Colot-Mapping으로 동$.$정맥을 한 영상에 구분하여 나타냄으로써 0.3T MRI system에서 MRI의 임상적 적용 및 활용 가능성을 높이고자 하였다. 마산 삼성병원의 0.3T MRI system (Magfinder, AILab. Korea)어서 SAAV sequence를 이용하여 정상적인 피험자로부터 목 부위의 동맥과 정맥 혈관영상 (volume : 256${\times}$256${\times}$64)을 동시에 얻었다. 그리고. 이들의 각 2D 영상들에서 위치정보를 획득한 후 MIP 기법과 Color Mapping으로 조합하여 3D Artery-Vein Color Mapping(AVCM) MRA 영상으로 재구성하였다.

콤포넌트 맵핑을 위한 합성 알고리즘에 관한 연구 (A Study of Synthesis Algorithm for Component Mapping)

  • 김재진;이사원
    • 한국컴퓨터정보학회논문지
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    • 제3권4호
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    • pp.44-48
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    • 1998
  • 본 는문에서는 RT콤포넌트를 이용한 맵핑 방법으로 HDL로 기술된 연산자들을 RT콤포넌트에 맞도록 CDFG를 구성한 후 그래프를 최소화하고 cost와 bound를 계산하여 적합한 라이브러리를 선정하여 맵핑할 수 있는 콤포넌트 합성 알고리즘(Component Synthesis Algorithm)을 제안하였다.

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