• 제목/요약/키워드: Grid-based model

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그리드 포탈을 위한 객체 기반의 웹 사용자 인터페이스 (Object-oriented Web User-Interface Model for the Grid Portal)

  • 고윤석;황선태
    • 한국정보과학회논문지:시스템및이론
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    • 제33권12호
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    • pp.859-866
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    • 2006
  • 그리드 포탈 서비스는 기존의 어플리케이션 기반 그리드 서비스가 갖는 시간적 공간적 제약을 극복하여 보다 유연한 연구 환경을 제공한다. 그러나 사용자 인터페이스와 같은 사용자 요구 사항은 개발 기간 동안 불분명하기도 하고 자주 변하기도 한다. 그러므로 그리드 서비스를 위한 사용자 인터페이스를 만들고 유지 관리하는 비용을 줄일 수 있는 방안이 필요하다. 본 논문에서는 유저 인터페이스 개발이 보다 쉽고 코드의 재사용률을 증가시킬 수 있는 객체 기반의 컨트롤 모델을 제안한다. 이 모델에서는 프레젠테이션 페이지의 구조를 보다 명확히 기술할 수 있고 액션들을 구현하는 것이 보다 쉽고 간단하다.

전국 기후변화 영향평가를 위한 분포형 수문분석 툴 개발 (Development of Distributed Hydrological Analysis Tool for Future Climate Change Impacts Assessment of South Korea)

  • 김성준;김상호;조형경;안소라
    • 한국농공학회논문집
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    • 제57권2호
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    • pp.15-26
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    • 2015
  • The purpose of this paper is to develop a software tool, PGA-CC (Projection of hydrology via Grid-based Assessment for Climate Change) to evaluate the present hydrologic cycle and the future watershed hydrology by climate change. PGA-CC is composed of grid-based input data pre-processing module, hydrologic cycle calculation module, output analysis module, and output data post-processing module. The grid-based hydrological model was coded by Fortran and compiled using Compaq Fortran 6.6c, and the Graphic User Interface was developed by using Visual C#. Other most elements viz. Table and Graph, and GIS functions were implemented by MapWindow. The applicability of PGA-CC was tested by assessing the future hydrology of South Korea by HadCM3 SRES B1 and A2 climate change scenarios. For the whole country, the tool successfully assessed the future hydrological components including input data and evapotranspiration, soil moisture, surface runoff, lateral flow, base flow etc. From the spatial outputs, we could understand the hydrological changes both seasonally and regionally.

Analysis of Proportional Control for Grid Connected Inverter With LCL Filter

  • Windarko, Novie Ayub;Lee, Jin-Mok;Choi, Jae-Ho
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2008년도 하계학술대회 논문집
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    • pp.247-249
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    • 2008
  • There are many types of grid-connected inverter controllers; Synchronous Reference Frame (SRF)-based controller is the most popular methods. SRF-based controller is capable for reducing both of zero-steady state error and phase delay. However, SRF-based controller has a complex algorithm to apply in real application such as digital processor. Resonant controller is also reduced zero-steady state error, but its transfer function has a high order. In this paper, a simple proportional control is applied for grid connected inverter with LCL filter. LCL filter is a third order system. Applying a simple proportional controller is not increased the order of closed loop transfer function. By this technique, the single phase model is easily obtained. To reduce steady state error, proportional gain is set as high as possible, but it may produce instability. To compromise between a minimum steady state error and stability, the single phase model is evaluate through Root Locus and Bode diagram. PSIM simulation is used to verify the analysis.

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P2P Grid 컴퓨팅을 위한 에이전트 기반 보안 관리 (A Study of Secure Agent-Based Management Model for P2P Grid Computing)

  • 김진택;송오영;박세현
    • 한국정보보호학회:학술대회논문집
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    • 한국정보보호학회 2003년도 동계학술대회
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    • pp.578-584
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    • 2003
  • 본 논문에서는 인터넷 기반 P2P 네트워크를 이용한 Grid 컴퓨팅에서의 효율적인 보안 관리 모델을 제시한다. 하나는 P2P 네트워크를 이용한 에러 복구 과정과 다른 하나는 에이전트간 신뢰관계 구성 방안이다. 또한 P2P 네트워크에서 다양한 네트워크 간 보안 통신을 보장하기 위해 SOAP을 이용한 보안 메시지 프로토콜을 제안한다. 제안된 새로운 보안 관리 모델은 P2P 네트워크로 구성된 Grid 컴퓨팅 네트워크의 성능을 향상시킬 것으로 기대된다.

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Droop Control Scheme of a Three-phase Inverter for Grid Voltage Unbalance Compensation

  • Liu, Hongpeng;Zhou, Jiajie;Wang, Wei;Xu, Dianguo
    • Journal of Power Electronics
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    • 제18권4호
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    • pp.1245-1254
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    • 2018
  • The stability of a grid-connected system (GCS) has become a critical issue with the increasing utilization of renewable energy sources. Under grid faults, however, a grid-connected inverter cannot work efficiently by using only the traditional droop control. In addition, the unbalance factor of voltage/current at the common coupling point (PCC) may increase significantly. To ensure the stable operation of a GCS under grid faults, the capability to compensate for grid imbalance should be integrated. To solve the aforementioned problem, an improved voltage-type grid-connected control strategy is proposed in this study. A negative sequence conductance compensation loop based on a positive sequence power droop control is added to maintain PCC voltage balance and reduce grid current imbalance, thereby meeting PCC power quality requirements. Moreover, a stable analysis is presented based on the small signal model. Simulation and experimental results verify the aforementioned expectations, and consequently, the effectiveness of the proposed control scheme.

Lagrangian Dynamic Sub-grid Scale 모델에 의한 평행평판내 입방체 장애물 주위 유동에 관한 대 와동 모사 (Large eddy simulation of turbulent flow around a wall-mounted cubic obstacle in a channel using Lagrangian dynamic SGS model)

  • 고상철;박남섭
    • Journal of Advanced Marine Engineering and Technology
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    • 제30권3호
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    • pp.369-375
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    • 2006
  • Large eddy simulation has been applied to simulate turbulent flow around a cubic obstacle mounted on a channel surface for a Reynolds number of 40000(based on the incoming bulk velocity and the obstacle height) using a Smagorinsky model and a Lagrangian dynamic model. In order to develop the LES to the practical engineering application, the effect of upwind scheme, turbulent sub-grid scale model were investigated. The computed velocities. turbulence quantifies, separation and reattachment length were evaluated by compared with the previous experimental results.

Multi-Class Classification Framework for Brain Tumor MR Image Classification by Using Deep CNN with Grid-Search Hyper Parameter Optimization Algorithm

  • Mukkapati, Naveen;Anbarasi, MS
    • International Journal of Computer Science & Network Security
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    • 제22권4호
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    • pp.101-110
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    • 2022
  • Histopathological analysis of biopsy specimens is still used for diagnosis and classifying the brain tumors today. The available procedures are intrusive, time consuming, and inclined to human error. To overcome these disadvantages, need of implementing a fully automated deep learning-based model to classify brain tumor into multiple classes. The proposed CNN model with an accuracy of 92.98 % for categorizing tumors into five classes such as normal tumor, glioma tumor, meningioma tumor, pituitary tumor, and metastatic tumor. Using the grid search optimization approach, all of the critical hyper parameters of suggested CNN framework were instantly assigned. Alex Net, Inception v3, Res Net -50, VGG -16, and Google - Net are all examples of cutting-edge CNN models that are compared to the suggested CNN model. Using huge, publicly available clinical datasets, satisfactory classification results were produced. Physicians and radiologists can use the suggested CNN model to confirm their first screening for brain tumor Multi-classification.

Grid-Based Soil-Water Erosion and Deposition Modeling sing GIS and RS

  • Kim, Seong-Joon
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2001년도 학술발표회 논문집(I)
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    • pp.25-34
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    • 2001
  • A grid-based KIneMatic wave soil-water EROsion and deposition Model (KIMEROM) that predicts temporal variation and spatial distribution of sediment transport in a watershed was developed. This model uses ASCII-formatted map data supported from the regular gridded map of GRASS (U.S. Army CERL, 1993)-GIS (Geographic Information Systems), and generates the distributed results by ASCIIl-formatted map data. For hydrologic process, the kinematic wave equation and Darcy equation were used to simulate surface and subsurface flow, respectively (Kim, 1798; Kim et al., 1993). For soil erosion process, the physically-based soil erosion concept by Rose and Hairsine (1988) was used to simulate soil-water erosion and deposition. The model adopts sing1e overland flowpath algorithm and simulates surface and subsurface water depth, and sediment concentration at each grid element (or a given time increment. The model was tested to a 162.3 km$^2$ watershed located in the tideland reclaimed area of South Korea. After the hydrologic calibration for two storm events in 1999, the results of sediment transport were presented for the same storm events. The results of temporal variation and spatial distribution of overland flow and sediment areas are shown using GRASS.

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A Resonant Characteristics Analysis and Suppression Strategy for Multiple Parallel Grid-connected Inverters with LCL Filter

  • Sun, Jian-jun;Hu, Wei;Zhou, Hui;Jiang, Yi-ming;Zha, Xiao-ming
    • Journal of Power Electronics
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    • 제16권4호
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    • pp.1483-1493
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    • 2016
  • Multiple parallel inverters have multiple resonant frequencies that are influenced by many factors. This often results in stability and power quality problems. This paper develops a multiple input multiple output model of grid-connected inverter systems using a closed-loop transfer function. The influence factors of the resonant characteristics are analyzed with the developed model. The analysis results show that the resonant frequency is closely related to the number, type and composition ratio of the parallel inverters. To suppress resonance, a scheme based on virtual impedance is presented, where the virtual impedance is emulated in the vicinity of the resonance frequency. The proposed scheme needs one inverter with virtual impedance control, which reduces the design complexity of the other inverter controllers. Simulation and experimental tests are carried out on two single phase converter-based setups. The results validate the correctness of the model, the analytical results and the resonant suppressing scheme.

그리드 컴퓨팅 환경에서의 자원 관리를 위한 분산화된 브로커 기반 모델 (Decentralized Broker-BBsed Model for Resource Management in Grid Computing Environment)

  • 마용범;이종식
    • 한국시뮬레이션학회논문지
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    • 제16권2호
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    • pp.1-8
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    • 2007
  • 그리드 컴퓨팅 환경에서 자원 관리는 이기종의 자원들 사이에서 통합과 상호작용을 위해 필수적이다. 이 논문은 자원관리의 복잡한 문제들을 해결하기 위해 집중화된 브로커 기반과 분산화된 브로커 기반 모델링의 자원 관리 기법을 논하고 그리드 컴퓨팅 환경에서 분산화된 브로커 기반 자원 관리 모델링의 설계와 구현을 표현한다. 이 모델은 글로벌 자원 브로커와 로컬 자원 브로커로 이루어지고 우리는 통신의 감소와 로컬 자원 브로커를 사용한 작업 관리의 기능적인 분산을 이끌어낸다. 시뮬레이션 결과는 자원 활용도와 평균 응답 시간의 향상을 보여주고 이 모델이 사용자 요구에 즉각 응답하고 자원의 활용도를 향상시킨다는 것을 증명한다.

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