Abstract The article presents the results of mathematical modeling in a two-dimensional formulation mixing process by mutual diffusion and separation flows Newtonian fluids microfluidic channel with five outlets. Branches are used to separate into fractions given concentration one components mixture. occurs laminar flow regime, without chemical thermal interaction. mixture model was set up form...

A vehicle influences the concentration of penetrant within the membrane, affecting its diffusivity in the skin and rate of transport. Despite the huge amount of effort made for the understanding and modelling of the skin absorption of chemicals, a reliable estimation of the skin penetration potential from formulations remains a challenging objective. In this investigation, quantitative structur...

This paper proposes solutions to three issues pertaining to the estimation of finite mixture models with an unknown number of components: the non-identifiability induced by overfitting the number of components, the mixing limitations of standard Markov Chain Monte Carlo (MCMC) sampling techniques, and the related label switching problem. An overfitting approach is used to estimate the number of...

ABSTRACT This paper is organized as follows. In Section 2, we formulate the proposed UMPC method for modeling nonstationary and multi-modal data. Both MPC and UPC are shown to be special cases of the proposed UMPC model. We apply UMPC to error concealment in Section 3. The experiment results in Section 4 show the performance of UMPC for error concealment over conventional methods. We then concl...

In this paper we investigate alternative designs of a Radial Basis Function Network acting as classifier in a face recognition system. Input to the RBF network is the projections of a face image over the principal components. A database of 250 facial images of 25 persons is used for training and evaluation. Two RBF designs are studied: the forward selection and the gaussian mixture model. Both ...

In 1994, Olsson published a model predicting the intensity and quality of an odor mixture percept on the basis of the intensities of the unmixed components. Whether this model can also be used for mixtures of dissimilar tasting substances was investigated for sucrose/citric acid mixtures. The identification data revealed asymmetrical mixture suppression, which does not support the model. The in...

In this paper, a neural network solution to extract independent components from nonlinearly mixed signals is proposed. Firstly, a structurally constrained mixing model is introduced to extend the recently proposed mono-nonlinearity mixing model, allowing that different nonlinear distortion are applied to each source signal. Based on this nonlinear mixing model, a novel demixing system character...