Adequate forage amounts in both physical and chemical forms are necessary for proper ruminal function in dairy cows. Under conditions in which total amounts of forage or particle size of the forage are reduced, cows spend less time ruminating and have a decreased amount of buoyant digesta in the rumen. These factors reduce saliva production and allow ruminal pH to fall, depressing activity of c...

In this paper we describe a method of determining the separation plane of two objects during collision detection. This method is specifically designed for volumetric particle representations of objects, volpars. This particular technique offers an advantage over previous methods because it only looks for a separating plane for the areas local to the point of contact. This increases the robustne...

The well-known sorting processes like density separation, separation in magnetic or electric fields and flotation, are not suitable to apply successfully within a particle-size range smaller than 10 m. Due to insufficient selectivity of above mentioned enrichment processes the concentrate recovery at this particle size range is extremely poor, which influences accordingly the techno-economic ef...

We present a computational investigation of the mechanism governing size-based particle separation in microfluidic pinched flow fractionation. We study the behavior of particles moving through a pinching gap (i.e., a constriction in the aperture of a channel) in the Stokes regime (negligible fluid and particle inertia) as a function of particle size. The constriction aperture is created by a pl...

In this paper we present an original modelling of the source separation problem that takes into account all the non-stationarities of the underlying processes. The estimation of the sources then reduces to that of a filtering/fixed-lag smoothing algorithm, for which we propose an efficient numerical solution, relying on particle filter techniques.

Blind source separation technique separates mixed signals blindly without any information on the mixing system. In this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. In these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. In order to evalu...