• Title/Summary/Keyword: Distributed Conference Model

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Analysis for the impulsive impedance of counterpoise (매설지선의 임펄스임피던스의 해석)

  • Joe, Jeong-Hyeon;Kim, Jong-Ho;Beak, Young-Hwan;Kim, Dong-Seong;Lee, Gang-Su;Kim, Ki-Bok;Lee, Bok-Hee
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2009.05a
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    • pp.88-91
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    • 2009
  • For lightning currents, a grounding system shows the transient grounding impedance characteristics. A grounding system for protection against lightning should be evaluated by the transient grounding impedance, not it's ground resistance. The transient grounding impedance varies with the shape of ground electrode and earth characteristics as well as the waveform of lightning surge current. For the analysis and practical use of transient grounding impedance, the characteristics of transient grounding impedance should be analyzed theoretically and this paper suggests the theoretical analysis for the transient grounding impedance of counterpoise by using the distributed parameter circuit model. EMTP and Matlab are used to simulate the distributed parameter circuit model of counterpoise and the adequacy of the distributed parameter model of counterpoise is examined by comparing the simulated results with the measured results.

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Development of a distributed rainfall-runoff model with TIN-based topographic representation and its application to an analysis of spacial variability of soil properties on runoff response

  • Tachikawa, Yasuto;Shiiba, Michiharu
    • Proceedings of the Korea Water Resources Association Conference
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    • 2000.05a
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    • pp.28-36
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    • 2000
  • A TIN, Triangulated Irregular Network, based topographic modeling method and a distributed rainfall-runoff model using the topographic representation is presented. In the TIN based topographic representation, a watershed basin is modeled as a set of contiguous non-overlapping triangular facets: the watershed basin is subdivided according to streamlines to deal with water movement one-dimensionally; and each partitioned catchment is approximated to a slope element having a quasi-three-dimensional shape by using cubic spline functions. On an approximated slope element, water movement is represented by combined surface-subsurface kinematic wave equations considering a change of slope gradient and slope width. By using the distributed rainfall-runoff model, the effects of spatial variability of soil properties on runoff response are examined.

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Analysis of Temporal and Spatial Variations of Channel-Aquifer Interaction Using a Distributed Catchment Model: A Case Study for the Tarland Burn Catchment in the UK (분포형 유역 모델을 이용한 하천-지하수 상호작용의 시공간적 변동 해석: 영국 Tarland Burn 유역에 대한 사례 연구)

  • Koo, Bhon-Kyoung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2007.05a
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    • pp.253-257
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    • 2007
  • Channel-aquifer interaction is one of the key hydrological processes that determine water flows in the stream/river channel. Field measurements of channel-aquifer interaction, however, is very difficult and costly, particularly when one intends to understand its variations across a catchment for a long period. Hydrological simulations using a catchment model are a relatively easier and cheaper alternative provided the model structure is appropriate for describing channel-aquifer interaction. In this study, a catchment model called CAMEL (Chemicals from Agricultural Management and Erosion Losses) is used for estimating channel-aquifer interaction over time and space. CAMEL is a distributed catchment model to simulate transformation and transport processes of sediment and pollutants as well as water flows at the catchment scale. In the model, a catchment is represented using a network of square columns each of which is comprised of various storages of water. CAMEL explicitly simulates both surface and subsurface processes including channel-aquifer interaction. This paper presents an application study results of CAMEL for the Tarland Burn Catchment, a small (catchment area $52\;km^2$) rural catchment in Scotland, UK, demonstrating some of the channel-aquifer interaction dynamics across the catchment during a 2-year period.

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Implementation of Open & Distributed Intelligent Control Network for BAS (빌딩자동화용 개방.지능 분산제어 네트워크 구축에 관한 연구)

  • Hong, Won-Pyo;Lee, Sung-Hak
    • Proceedings of the KIEE Conference
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    • 2000.07d
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    • pp.2446-2451
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    • 2000
  • This paper presents the conceptual model of open & distributed intelligent control network for BAS. The characteristics and definition of this network also is proposed from theoretical study of LonWorks and a comparison between LonWorks and conventional network.

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Applying Kalman Filter into a Distributed Hydrological Model for Real-time Updating and Prediction

  • Kim, Sun-Min;Tachikawa, Yasuto;Takara, Kaoru
    • Proceedings of the Korea Water Resources Association Conference
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    • 2005.05b
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    • pp.220-224
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    • 2005
  • 칼만필터 알고리즘을 분포형 유출모형에 적용하였다. 관측 유량과 상태변수인 유역내 저류량을 갱신하고자 Q-S curve를 도입하였고, 갱신된 저류량과 모형에 의해 모의된 저류량의 비율을 유역 내 각 지점의 수위에 적용하므로써 분포화 된 상태변수를 효율적으로 갱신하였다. 갱신된 상태변수와 상태변수 오차의 시간갱신은 몬테 카를로 시뮬레이션을 이용하여 모의하였다.

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공정계획 및 일정계획 통합을 위한 가상 생산 시스템

  • 박지형;염기원
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.885-888
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    • 1995
  • Virtual Manufacturing System(VMS) is a computer model that represents the precise and whole structure of manufacturing system and simulates their physical and logical behavior in operation. In this paper, a real time simulation for the virtual factory is proposed to integrate a process planning with scheduling under distributed environments. In order to communicate the information under distributed environment, weuse a sever/client concept and socket program. the VMS is implemented on the internet environment.

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Validity Analysis of GDSS Technical Support of Distributed Group Decision-Making Process

  • Hong-Cai, Fu;Ping, Zou;Hao-Wen, Zhang
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2007.02a
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    • pp.131-138
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    • 2007
  • Distributed Group Decision Support System (GDSS) is in the stage between exploration and implementation, there is not unified constructing model. As computer software and hardware, network technique develop, especially the development of object-oriented programming, distributed process, and artificial intelligence, this makes it possible the practical and valid implementation of distributed GDSS. With a view of emphasizing and solving process-supporting, this article discusses how to use the key technologies of network, distributed process, artificial intelligence and man-machine mutual interface, to implement more adaptable, more flexible, and more valid GDSS than before.

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Store-Release based Distributed Hydrologic Model with GIS (GIS를 이용한 기저-유출 바탕의 수문모델)

  • Kang, Kwang-Min;Yoon, Se-Eui
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.35-35
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    • 2012
  • Most grid-based distributed hydrologic models are complex in terms of data requirements, parameter estimation and computational demand. To address these issues, a simple grid-based hydrologic model is developed in a geographic information system (GIS) environment using storage-release concept. The model is named GIS Storage Release Model (GIS-StoRM). The storage-release concept uses the travel time within each cell to compute howmuch water is stored or released to the watershed outlet at each time step. The travel time within each cell is computed by combining the kinematic wave equation with Manning's equation. The input to GIS-StoRM includes geospatial datasets such as radar rainfall data (NEXRAD), land use and digital elevation model (DEM). The structural framework for GIS-StoRM is developed by exploiting geographic features in GIS as hydrologic modeling objects, which store and process geospatial and temporal information for hydrologic modeling. Hydrologic modeling objects developed in this study handle time series, raster and vector data within GIS to: (i) exchange input-output between modeling objects, (ii) extract parameters from GIS data; and (iii) simulate hydrologic processes. Conceptual and structural framework of GIS StoRM including its application to Pleasant Creek watershed in Indiana will be presented.

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