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Introducing Flow Field Forecasting
2011 10th International Conference on Machine Learning and Applications and Workshops, 2011A machine learning methodology, called flow field forecasting, is proposed for statistically predicting the future of a univariate time series. Flow field forecasting draws information from the interpolated flow field of an observed time series to build a forecast step-by-step.
Michael Frey, Kyle A. Caudle
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Flow field-flow fractionation: Critical overview
Journal of Chromatography A, 2013This overview regards some critical issues in performing flow field-flow fractionation (flow FFF, FlFFF, AF4, HF-FlFFF, HF5). It includes the channel thickness, void time, channel-flow parabolic profile, channel-flow velocity gradient, uniformity of the cross-flow, sample injection time, relaxation/focusing time, width of sample starting zone ...
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NUMERICAL FLOW FIELD VISUALIZATION
Computers & Structures, 1988The application of computer-generated imagery to analyze numerical solutions of fluid flow is presented. High-performance graphics workstations, their current capabilities, and their use in flow field analysis are discussed. Interactive flow field computations about complex three-dimensional bodies applying computer-generated imagery are projected for ...
Robert E. Smith, Eric L. Everton
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The structure of the optic flow field
1998The optic flow field is defined as preserving the intensity along flow-lines. Due to singularities in the image at fixed time, poles are created in the optic flow field. In this paper we describe the generic types of flow singularities and their generic interaction over time.
Nielsen, M., Olsen, O.F.
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Flow Field of a Flame in a Channel
The Physics of Fluids, 1959A stationary flame is stabilized in a two-dimensional channel in such a way that it closely corresponds to the case of a flame propagating in a channel. The entire flow field of unburned and burned gases is mapped by taking stroboscopic photographs of small particles suspended in the combustible gases.
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Field-flow fractionation of macromolecules
Journal of Chromatography A, 1989Field-flow fractionation (FFF) is a versatile family of techniques, applicable to macromolecules, colloids, and cell-sized particles. This paper focuses specifically on the applicability of FFF to macromolecules. Following a brief description of the principles of FFF, the characteristics of FFF that bear on its efficacy in separating macromolecules are
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The Generic Structure of the Optic Flow Field
Journal of Mathematical Imaging and Vision, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ole Fogh Olsen, Mads Nielsen
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Lattice-based flow field modeling
IEEE Transactions on Visualization and Computer Graphics, 2004We present an approach for simulating the natural dynamics that emerge from the interaction between a flow field and immersed objects. We model the flow field using the Lattice Boltzmann Model (LBM) with boundary conditions appropriate for moving objects and accelerate the computation on commodity graphics hardware (GPU) to achieve real-time ...
Xiaoming Wei +6 more
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Voronoi Diagram in the Flow Field
2003A new concept called a boat-sail distance is introduced on the surface of water with flow, and it is used to define a generalized Voronoi diagram, in such a way that the water surface is partitioned into regions belonging to the nearest harbors with respect to this distance.
Tetsushi Nishida, Kokichi Sugihara
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Micro-Thermal Field-Flow Fractionation
Collection of Czechoslovak Chemical Communications, 2002The effect of miniaturization of the separation channel on the performance of thermal field-flow fractionation (TFFF) is substantiated theoretically. The experiments carried out under carefully chosen experimental conditions proved the high performance of the separation of polymers within an extended range of molar masses from relatively low up to ...
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