• 제목/요약/키워드: Flow Network Model

검색결과 773건 처리시간 0.026초

CPN의 관리 모델과 망 엑세스 흐름/혼잡 제어 (CPN Management Model and Network Access Flow/Congestion Control in ATM Network)

  • 김양섭;권혁인;김영찬
    • 한국통신학회논문지
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    • 제23권8호
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    • pp.2096-2105
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    • 1998
  • ATM 망에서는 어느 한 순간에 다수의 연결에서 동시에 발생하는 버스트가 일어날 수 있으며, 이는 혼잡을 야기 할 수 있다. 따라서, 사용자의 QoS를 보장하기 위해서는 반작용적인(Reactive) 흐름 제어 기법들이 필요하다. 그러나, ATM망은 고속통신망이기 때문에 중간노드에서의 혼잡에 대해서 반작용적으로 소스의 전송률을 제어하기란 쉽지 않다. 그러므로, CPN(Customer Premise Network)에서의 흐름 제어가 종단-대-종단 흐름 제어보다 더 효율적일 수 있다. 본 논문에서는 CPN에서의 흐름 제어를 위한 관리 모델을 제시하고 가상 경로 연결(VPC)을 효율적으로 이용하기 위한 새로운 망 엑세스 흐름/혼잡 제어(NAPC: Network Access Flow/Congestion Control) 기법을 제안한다.

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판형 열교환기 Full-scale 해석을 위한 1차원 유동 네트워크 모델 및 ε-NTU 모델의 수치적 연구 (NUMERICAL STUDY FOR THE FULL-SCALE ANALYSIS OF PLATE-TYPE HEAT EXCHANGER USING ONE-DIMENSIONAL FLOW NETWORK MODEL and ε-NTU METHOD)

  • 김민성;민준기;하만영
    • 한국전산유체공학회지
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    • 제19권1호
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    • pp.47-56
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    • 2014
  • Since a typical plate heat exchanger is made up of a huge number of unitary cells, it may be impossible to predict the aero-thermal performance of the full scale heat exchanger through three-dimensional numerical simulation due to the enormous amount of computing resources and time required. In the present study, a simple flow-network model using the friction factor correlation and a thermal-network model based on the effectiveness-number of transfer units (${\varepsilon}$-NTU) method has been developed. The complicated flow pattern inside the cross-corrugated heat exchanger has been modeled into flow and thermal networks. Using this model, the heat transfer between neighboring streams can be considered, and the pressure drop and the heat transfer rate of full-scale heat exchanger matrix are calculated. In the calculation, the aero-thermal performance of each unitary cell of the heat exchanger matrix was evaluated using correlations of the Fanning friction factor f and the Nusselt number Nu, which were calculated by unitary-cell CFD model.

계층적 Hopfield 신경 회로망을 이용한 Optical Flow 추정 (Optical Flow Estimation Using the Hierarchical Hopfield Neural Networks)

  • 김문갑;진성일
    • 전자공학회논문지B
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    • 제32B권3호
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    • pp.48-56
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    • 1995
  • This paper presents a method of implementing efficient optical flow estimation for dynamic scene analysis using the hierarchical Hopfield neural networks. Given the two consequent inages, Zhou and Chellappa suggested the Hopfield neural network for computing the optical flow. The major problem of this algorithm is that Zhou and Chellappa's network accompanies self-feedback term, which forces them to check the energy change every iteration and only to accept the case where the lower the energy level is guaranteed. This is not only undesirable but also inefficient in implementing the Hopfield network. The another problem is that this model cannot allow the exact computation of optical flow in the case that the disparities of the moving objects are large. This paper improves the Zhou and Chellapa's problems by modifying the structure of the network to satisfy the convergence condition of the Hopfield model and suggesting the hierarchical algorithm, which enables the computation of the optical flow using the hierarchical structure even in the presence of large disparities.

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1차원 유동 네트워크 모델 및 다공성매질 모델을 이용한 판형 열교환기의 수치적 연구 (A Numerical Study on Plate-Type Heat Exchanger Using One-Dimensional Flow Network Model and Porous-Media Model)

  • 박재현;김민성;민준기;하만영
    • 설비공학논문집
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    • 제28권1호
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    • pp.21-28
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    • 2016
  • A typical heat exchanger, found in many industrial sites, is made up of a large number of unitary cells, which causes difficulties when carrying out full-scale three-dimensional numerical simulations of the heat exchanger to analyze the aero-thermal performance. In the present study, a three-dimensional numerical study using a porous media model was carried out to evaluate the performance of the heat exchanger modelled in two different ways : full-scale and simplified. The pressure drop in the air side and gas side along with the overall heat transfer rate were calculated using a porous media model and the results were then compared to results obtained with a one-dimensional flow network model. The comparison between the results for two different geometries obtained using a porous media model and a one-dimensional flow network model shows good agreement between the simplified geometry and the one-dimensional flow network model. The full-scale geometry shows reasonable differences caused by the geometry such as sudden expansion and contraction.

Influence of ambient groundwater flow on DNAPL migration in a fracture network

  • 지성훈;여인욱;이강근
    • 한국지하수토양환경학회:학술대회논문집
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    • 한국지하수토양환경학회 2003년도 총회 및 춘계학술발표회
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    • pp.43-46
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    • 2003
  • We consider influences of the aperture variation and the ambient groundwater flow on the migration of DNAPL within a fracture network. In context of a modified invasion percolation (MIP) growth algorithm, we formulate a mechanistic model that includes capillary and gravity forces as well as viscous forces within the DNAPL and the ambient groundwater. The MIP model is verified against laboratory experiments, which is conducted using a two-dimensional random fracture network model. The results show that the aperture variation and ambient groundwater flow can be significant factors controlling DNAPL migration path within fracture networks.

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월류흐름을 포함한 부정류 계산모형에 관한 연구 (A Study on Unsteady Flow Model Including Weir Flow Simulation)

  • 전경수
    • 물과 미래
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    • 제29권2호
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    • pp.153-165
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    • 1996
  • 월류흐름을 포함하는 1차원 부정류 계산모형으로서 월류흐름에 대한 국소적 처리기법을 포함한 단일하도 모형 및 폐합형 수계에 모형을 각각 구성하여, 월류부를 포함한 시험하도 문제에 적용함으로써 모형의 적용성을 조사하였다. 역방향 흐름을 포함한 다양한 형태의 월류흐름이 잘 모의되었으며, 월류구조물의 표고가 높아서 실질적으로 흐름이 존재하지 않는 경우도 성공적으로 모의되었다. 자유월류형 역방향 흐름은 폐합형 모형에 의해서 뿐만 아니라 단일하도 모형에 의해서도 모의될 수 있음이 입증되었다.

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Recovery the Missing Streamflow Data on River Basin Based on the Deep Neural Network Model

  • Le, Xuan-Hien;Lee, Giha
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2019년도 학술발표회
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    • pp.156-156
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    • 2019
  • In this study, a gated recurrent unit (GRU) network is constructed based on a deep neural network (DNN) with the aim of restoring the missing daily flow data in river basins. Lai Chau hydrological station is located upstream of the Da river basin (Vietnam) is selected as the target station for this study. Input data of the model are data on observed daily flow for 24 years from 1961 to 1984 (before Hoa Binh dam was built) at 5 hydrological stations, in which 4 gauge stations in the basin downstream and restoring - target station (Lai Chau). The total available data is divided into sections for different purposes. The data set of 23 years (1961-1983) was employed for training and validation purposes, with corresponding rates of 80% for training and 20% for validation respectively. Another data set of one year (1984) was used for the testing purpose to objectively verify the performance and accuracy of the model. Though only a modest amount of input data is required and furthermore the Lai Chau hydrological station is located upstream of the Da River, the calculated results based on the suggested model are in satisfactory agreement with observed data, the Nash - Sutcliffe efficiency (NSE) is higher than 95%. The finding of this study illustrated the outstanding performance of the GRU network model in recovering the missing flow data at Lai Chau station. As a result, DNN models, as well as GRU network models, have great potential for application within the field of hydrology and hydraulics.

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Flow-Aware Link Dimensioning for Guaranteed-QoS Services in Broadband Convergence Networks

  • Lee, Hoon;Sohraby, Khosrow
    • Journal of Communications and Networks
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    • 제8권4호
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    • pp.410-421
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    • 2006
  • In this work, we propose an analytic framework for dimensioning the link capacity of broadband access networks which provide universal broadband access services to a diverse kind of customers such as patient and impatient customers. The proposed framework takes into account the flow-level quality of service (QoS) of a connection as well as the packet-level QoS, via which a simple and systematic provisioning and operation of the network are provided. To that purpose, we first discuss the necessity of flow-aware network dimensioning by reviewing the networking technologies of the current and future access network. Next, we propose an analytic model for dimensioning the link capacity for an access node of broadband convergence networks which takes into account both the flow and packet level QoS requirements. By carrying out extensive numerical experiment for the proposed model assuming typical parameters that represent real network environment, the validity of the proposed method is assessed.

Numerical Prediction of Flow and Heat Transfer on Lubricant Supplying and Scavenging Flow Path of An Aero-engine Lubrication System

  • Liu, Zhenxia;Huang, Shengqin
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2008년 영문 학술대회
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    • pp.22-24
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    • 2008
  • This paper presents a numerical model of internal flows in a lubricant supplying and scavenging flow path of an aero-engine lubrication system. The numerical model was built in the General Analysis Software of Aero-engine Lubrication System, GASLS, developed by Northwestern Polytechnical University. The lubricant flow flux, pressure and temperature distribution at steady state were calculated. GASLS is a general purpose computer program employed a 1-D steady state network algorithm for analyzing flowrates, pressures and temperatures in a complex flow network. All kinds of aero-engine lubrication systems can be divided into finite correlative typical elements and nodes from which the calculation network be developed in GASLS. Special emphasis is on how to use combined elements which is a type of typical elements to replace some complex components like bearing bores, accessory gearboxes or heat exchangers. This method can reduce network complexity and improve calculation efficiency. Final computational results show good agreement with experimental data.

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