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[PDF] Top 20 A Numerical Model for Random Fibre Networks

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A Numerical Model for Random Fibre Networks

A Numerical Model for Random Fibre Networks

... a random fibre network representative of a real world material leads to a large sparse linear matrix system with a high condition ...off-lattice networks are not a realistic model for the ... See full document

9

Clustering and the hyperbolic geometry of complex networks

Clustering and the hyperbolic geometry of complex networks

... a model which implements this idea. In this model, a random network is created on the hyperbolic plane (we will see the detailed definition ...resulting random network. A numerical ... See full document

13

Mechanistic Failure Criterion for Unidirectional and Random Fibre Polymer Composites

Mechanistic Failure Criterion for Unidirectional and Random Fibre Polymer Composites

... The numerical photo-elastic pattern calculated from Westergaard equation [35] b) Actual photo-elastic pattern from epoxy sample showing the forward tilt of isochromatic ...a fibre and surrounding matrix in ... See full document

299

Modeling and analysis of random dense CSMA networks

Modeling and analysis of random dense CSMA networks

... dense networks and in fading ...MMHCP model is closer to the actual distribution of nodes in CSMA than Matérn type II model and MHCP ...our numerical analysis and simulations, from which we ... See full document

17

Spatially embedded random networks

Spatially embedded random networks

... world model 关 2 兴 共 which might already be said to have a spatial element insofar as nodes are pref- erentially connected to “nearby” nodes兲 and more pertinently random geometric graph 共RGG兲 models ...SERN ... See full document

18

Convergence analysis of macro spreading in 3D heterogeneous
          porous media*,**

Convergence analysis of macro spreading in 3D heterogeneous porous media*,**

... discrete random conductivity field is ...the numerical approximations are finely analyzed mathematically then the efficiency is illustrated for 2D domains and a conductivity field with a medium correlation ... See full document

18

A covariance function for feed intake, live weight and milk yield estimated using a random regression model

A covariance function for feed intake, live weight and milk yield estimated using a random regression model

... large number of possible traits, 2 ) no account is taken of the ordering and spacing of records in time, and 3 ) biological interpretation of a large number of correla- tions is often difficult. Furthermore, correlations ... See full document

10

Classification of Random Boolean Networks

Classification of Random Boolean Networks

... Real-valued networks would not be D DN s, since the ir values are no t discrete, but ...Asynchronous Random Boo lean Networks ( D ARBN s) as ARBNs which do not select at random which node to ... See full document

8

Extending the results of biodiversity: Ecosystem function experiments to regional species collections

Extending the results of biodiversity: Ecosystem function experiments to regional species collections

... single random assembly experiment provide a basis for drawing inferences about θ P , but not θ R ...particular model? And must inference from experimental data always stop with θ P , or are there cases ... See full document

18

About the Simulation of Stochastically Excited Elastic Systems and Their Stability

About the Simulation of Stochastically Excited Elastic Systems and Their Stability

... to random loads in the form of random stationary processes, was considered in works [1] - [3], where an extensive enough review of investigations in the indicated direction is ...to random loads in ... See full document

6

Łukasiewicz-Topos Models of Neural Networks, Cell Genome and Interactome Nonlinear Dynamic Models

Łukasiewicz-Topos Models of Neural Networks, Cell Genome and Interactome Nonlinear Dynamic Models

... neural networks, genomes and cell interactomes is ...genetic networks and signaling pathways in cells are formulated in terms of nonlinear dynamic systems with n-state components that allow for the ... See full document

16

'Clumpiness' mixing in complex networks

'Clumpiness' mixing in complex networks

... “complex networks” is one of the sources of new concepts and theoretical problems ...complex networks [14], such as the identification of the most central nodes in a complex network ...complex ... See full document

47

Random walks on temporal networks

Random walks on temporal networks

... artificial networks evolve in ...dynamic networks are still recent, so that many questions remain ...how random walks, as paradigm of dynamical processes, unfold on temporally evolving ...dynamical ... See full document

15

A gradient field approach to modelling fibre generated spatial point processes

A gradient field approach to modelling fibre generated spatial point processes

... finite random collection of continuous segments of these curves or streamlines is used to model the unobserved fibres generating the latent curvilinear structure of the observed point ...a random ... See full document

5

Multi-Tensor Random-Walk Probabilistic Fibre Tracking Algorithms: Solving Complex Fibre Configurations in the Brain

Multi-Tensor Random-Walk Probabilistic Fibre Tracking Algorithms: Solving Complex Fibre Configurations in the Brain

... The random-walk algorithms were evaluated on a physical phantom, which was created with the aim of bench- marking different tractography techniques ...crossing fibre trajectories. A two-tensor model ... See full document

13

Stabilisation of Black Cotton Soil by Random Inclusion of Sisal Fibre

Stabilisation of Black Cotton Soil by Random Inclusion of Sisal Fibre

... The behaviour of soil due to the introduction of coir fibre and banana fiber has already been studied on a type of red soil collected from Thiruvallam in Trivandrum District. The practice of building houses on ... See full document

8

The Hydra model   a model for what?

The Hydra model a model for what?

... We applied the principle of lateral inhibition in modified form to pattern formation in the course of development, now of course with molecules interacting and moving instead of neurons firing. Our theory demonstrates ... See full document

10

Analysis of Cascading Failures of Interdependent Networks under Random Attacks

Analysis of Cascading Failures of Interdependent Networks under Random Attacks

... interdependent networks, so that the research is simplified in that the direction of an interdependent edge is acquiescently pointed from A to B, namely, failures of nodes in network A will be transmitted to ... See full document

5

Fitting a geometric graph to a protein-protein interaction network

Fitting a geometric graph to a protein-protein interaction network

... geometric networks, even when noise is added by re-wiring some ...PPI networks of various organisms indicated that: (a) geometric effects are present and (b) two-dimensional Euclidean space is generally as ... See full document

7

Modelling and upscaling of transport in carbonates during dissolution: validation and calibration with NMR experiments

Modelling and upscaling of transport in carbonates during dissolution: validation and calibration with NMR experiments

... and numerical study of transport in carbon- ates during dissolution and its upscaling from the pore (∼ µm) to core (∼ cm) ...the numerical part, first, the transport model—a particle-tracking method ... See full document

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