The cross-over phenomenon, which has been studied by a number of researchers using phenomenological modelling, is investigated here by developing a distributed model using level-set simulations, in order to explore the possibility of the existence of cross-over in the frame of reference of a moving droplet.
Our goal is to create a fault-tolerant VC platform that supports complex applications, by using a distributed model which improves performance and reduces the burden on the server.
In this work we theoretically and numerically study the impact of the mathematical properties of a distribution function of relaxation times (DFRT) on the frequency dispersion displayed by the immittance response of a distributed model for an ideal dielectric system such as an ideally-polarized electrode, paying special attention to constant-phase-element (CPE) behavior.
Oscillatory behavior, multiple steady states, and enhancement of the rate of diffusive transport across the interface are predicted by the distributed model; simulation with a simpler mass transfer model (which assumes no reaction near the interface) shows only a single, sometimes oscillatory, stable state.
The resulting model is then used to synthesize a spatially-invariant distributed controller, and is expanded to obtain the 37-segment system by interconnecting the distributed model in a honeycomb-like pattern.
Drug transport in bladder tissues is described by the distributed model which combined monodimensional Fickian diffusion and first order removal of drug by the perfusing blood.
In the experiments, the pressure values in the cylinder chambers estimated by the distributed model in real time played as control signals.
A spatially-invariant distributed model is obtained by using a finite element model of the 7-segment system.
Serial-processing or switchboard metaphors for the cortex have been progressively replaced, not least because of the development of functional neuroimaging techniques, by a less hierarchical and more distributed model of function [13].
After its release eight years ago, Git was quickly adopted by developers; its highly distributed model was far more powerful than existing version-control systems.
