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23,550
UFLOW: Visualizing Uncertainty in Fluid Flow
"... Uncertainty or errors are introduced in fluid flow data as the data is acquired, transformed and rendered. Although researchers are aware of these uncertainties, little has been done to incorporate them in the existing visualization systems for fluid flow. In the absence of integrated presentation o ..."
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Cited by 50 (4 self)
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Uncertainty or errors are introduced in fluid flow data as the data is acquired, transformed and rendered. Although researchers are aware of these uncertainties, little has been done to incorporate them in the existing visualization systems for fluid flow. In the absence of integrated presentation
Network information flow
- IEEE TRANS. INFORM. THEORY
, 2000
"... We introduce a new class of problems called network information flow which is inspired by computer network applications. Consider a point-to-point communication network on which a number of information sources are to be mulitcast to certain sets of destinations. We assume that the information source ..."
Abstract
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Cited by 1967 (24 self)
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coding rate region. Our result can be regarded as the Max-flow Min-cut Theorem for network information flow. Contrary to one’s intuition, our work reveals that it is in general not optimal to regard the information to be multicast as a “fluid” which can simply be routed or replicated. Rather
Fluid Flow Visualization
- Focus on Scientific Visualization
, 1993
"... This paper presents an overview of techniques for visualization of fluid flow data. As a starting point, a brief introduction to experimental flow visualization is given. The rest of the paper concentrates on computer graphics flow visualization. A pipeline model of the flow visualization process is ..."
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Cited by 33 (4 self)
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This paper presents an overview of techniques for visualization of fluid flow data. As a starting point, a brief introduction to experimental flow visualization is given. The rest of the paper concentrates on computer graphics flow visualization. A pipeline model of the flow visualization process
Subdivision Schemes for Fluid Flow
- PROCEEDINGS OF SIGGRAPH 99
, 1999
"... The motion of fluids has been a topic of study for hundredsof years. In its most general setting, fluid flow is governed by a system of non-linear partial differential equations known as the Navier-Stokes equations. However, in several important settings, these equations degenerate into simpler syst ..."
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Cited by 29 (3 self)
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The motion of fluids has been a topic of study for hundredsof years. In its most general setting, fluid flow is governed by a system of non-linear partial differential equations known as the Navier-Stokes equations. However, in several important settings, these equations degenerate into simpler
Refined long-time asymptotics for some polymeric fluid flow models
- Commun. Math. Sci
"... fluid flow models ..."
VORTEX FORMATIONS CAUSED BY FLUID FLOW
"... Vortex formations caused by fluid flow across a slot in a flat plate. ..."
FLUID FLOW IN AN ASYMMETRIC CHANNEL
"... Abstract. In this paper, we investigate steady, viscous, incompressible fluid flow in an asymmetric channel with absorbing walls whichmay have possible applications in flows in renal tubules. The effect of fluid absorption through permeable wall is accounted for by prescribing flux as a function of ..."
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Abstract. In this paper, we investigate steady, viscous, incompressible fluid flow in an asymmetric channel with absorbing walls whichmay have possible applications in flows in renal tubules. The effect of fluid absorption through permeable wall is accounted for by prescribing flux as a function
Fluid flow modelling with seismic cluster analysis
"... Fluid flow modelling with seismic cluster analysis ..."
Dense Fluid Flow Estimation
, 2000
"... In this paper we address the problem of estimating and analyzing the motion in image sequences showing fluid phenomenon. Due to the great deal of spatial and temporal distortions that luminance patterns exhibit in images of fluid, standard techniques from Computer Vision, originally designed for qua ..."
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Cited by 2 (1 self)
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is specifically designed to be embedded in a multiresolution framework, is associated to an original divcurl type regularization. The optimization of the global energy function is solved within an efficient multigrid scheme. The performances of the resulting fluid flow estimator are demonstrated both on synthetic
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