We introduce a technique that can be used to model the behaviour of protocols. In our model each process within a protocol belongs to a particular class. A set of rules governs the behaviour of a process within a process class. The rules give rise to a transition system that models the behaviour of the protocol. By exploiting the homogeneous behavior of a process within a particular class it is...

We report the detection of heterogeneities in the diffusion of lipid molecules for the three-component mixture dipalmitoyl-PC/dilauroyl-PC/cholesterol, a chemically simple lipid model for the mammalian plasma membrane outer leaflet. Two-color fluorescence correlation spectroscopy (FCS) was performed on giant unilamellar vesicles (GUVs) using fluorescent probes that have differential lipid phase...

it seems using the maxwell-stefan (m-s) diffusion model in combination with the vacancy solutiontheory (vst) and the single-component adsorption data provides a superior, qualitative, andquantitative prediction of diffusion in zeolites. in the m-s formulation, thermodynamic factor (г) isan essential parameter which must be estimated by an adsorption isotherm. researchers usually utilizethe simp...

Both statistical and rule-based approaches to part-of-speech (POS) disambiguation have their own advantages and limitations. Especially for Korean, the narrow windows provided by hidden markov model (HMM) cannot cover the necessary lexical and longdistance dependencies for POS disambiguation. On the other hand, the rule-based approaches are not accurate and flexible to new tag-sets and language...

in the present study, computational fluid dynamics (cfd) techniques and artificial neural networks (ann) are used to predict the pressure drop value (δp ) of al2o3-water nanofluid in flat tubes. δp  is predicted taking into account five input variables: tube flattening (h), inlet volumetric flow rate (qi  ), wall heat flux (qnw  ), nanoparticle volume fraction (φ) and nanoparticle diameter (dp ...

A methodology is proposed for contrast enhanced unsupervised segmentation of a liver from a twodimensional multi-phase CT image. The multi-phase CT image is represented by a linear mixture model, whereupon each single-phase CT image is modeled as a linear mixture of spatial distributions of the organs present in the image. The methodology exploits concentration and spatial diversities between o...

In this study, one dimensional model is developed for capsule train flow in a horizontal pipe. Simulation model calculates the pressure drop of the flow of solid-water two-phase mixture inside the pipe. Through this model, effects of different suspension viscosity models and suspension to wall friction coefficients on the pressure drop of the capsule train flow are investigated. The simulation ...

Abstract:  In this study, the change in the crystalline structure of gas hydrate was predicted for ternary mixture of methane-ethane-water. For this purpose, the tangent plane distance (TPD) minimization method was used. First, the calculations were performed for the binary mixtures of methane-water and ethane-water as the gas and liquid phases. The results show that for a binary mixture of th...