Mixture

Uses Simulink to compute Vapor-Liquid Equilibrium diagrams for ethanol-water binary mixture. To compute activity coefficients, program uses Van-Laar Model. This mixture presents a positive azeotrope.

P-x-y diagram using RK for Methane+ butane mixture

This is a little script which was designed for educational purposes. It runs out of the box and generates a random data set of 1D Gaussian mixtures and visualizes the inference process.References:* Carl Edward Rasmussen: The infinite Gaussian mixture model ->...


Platforms: Matlab

The program computes the number of equilibrium stages for a binary ideal mixture with relative volatility equal to 2.45. The feed is a two phase mixture with a feed quality is equal to 0.85. The distillate, feed and bottom mole fractions are 0.9, 0.5 and 0.1, respectively. The reflux ratio is...


Platforms: Matlab

The Expectation-Maximization algorithm (EM) is widely used to find the parameters of a mixture of Gaussian probability density functions (pdfs) or briefly Gaussian components that fits the sample measurement vectors in maximum likelihood sense [1]. In our work, the expectation-maximization (EM)...


Platforms: Matlab

This being a very basic program for the demonstration of bubble and dew point calculations of a ideal binary VLE mixture obeying Raoult's. The basic purpose of this program is to demonstrate VLE P-T-x-y calculations of a ideal binary mixture and to get related data in graphical form for any such...


Platforms: Matlab

Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.Please visit http://iew3.technion.ac.il/CE/ for more informationsi) Please compile mex-files by the mexme_ce_gauss.m (if compiler is not setup, run...


Platforms: Matlab

We use a batch column with four theoretical plates to separate a binary mixture of water and methanol at 1 bar. Temperature and concentration profiles versus time are obtained for a reflux ratio equal to 10. In addition, the total moles in the still and distillate are plotted versus time. This...


Platforms: Matlab

The program computes the residue curve map for the ternary mixture benzene-toluene-p-xylene. When you change the mouse's position, a new residue curve is computed and displayed. Residue curve maps play an important role in the conceptual design of distillation columns. The pointer's position...


Platforms: Matlab

GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning...


Platforms: Matlab

Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds Usage ------- [logl , M , S , P] = fsmem_mvgm(Z , [M0] , [S0] , [P0] , [option]); Inputs ------- Z Measurements (d x N)...


Platforms: Matlab

Computation of the residue curve map for the MTBE chemistry is presented in the program. The equilibrium, taking place in the liquid phase, transforms methanol and isobutene into MTBE with n-butane being an inert component. Thermodynamic data can be found in the excellent paper by Niang and...


Platforms: Matlab

This package contains the MATLAB code for the robust point-setregistration algorithm discribed in the ICCV'05 paper:"Bing Jian and Baba C. Vemuri,A Robust Algorithm for Point Set Registration Using Mixture of Gaussians."It is part of software package which can be freely downloaded...


Platforms: Matlab

This is a parallel implementation of the Expectation Maximization algorithm for multidimensional Gaussian Mixture Models, designed to run on NVidia graphics cards supportingCUDA. On my machine, it provides up to 170x performance increases (16 dims, 16 clusters, 1000000 data points).See the report...


Platforms: Matlab

Implementation details of (i)-(iii) can be found in [1].The fourth function (gmm2sv.m) is to concatenate the means (i.e. centers) of GMM. The concatenated mean of adapted GMM is known as GMM supervector (GSV) and it is used in GMM-SVM based speaker recognition system. Details of GMM-SVM based...


Platforms: Matlab

A fast generator of gaussian mixture samples with a general ND dimensional calling syntax.Permit to sample from a simple multivariate process to several gaussian mixture in a easy way.Please run mexme_sample_mvgm.m to compile on your own platform. (Be sure to mex -setup is done before)


Platforms: Matlab

You want to make a mixture. You have ingredients composed of the same components. The proportions (percentage,content) of the components is different in each ingredient. The composition of the mixture will depend on how much of each ingredient you will add. Exact this -"how much of each...


Platforms: Windows

Crogai consists of a mixture of crowd simulation, AI, and genetic algorithms. It is possible to set up simulations and test different AI in a full 3D environment with a small physics engine, terrain, collision handling, etc. Crogai is inspired by the OpenSteer projet and uses steering behaviors...


Platforms: *nix

LatentGOLD is a powerful latent class and finite mixture program. Latent class (LC) choice models account for heterogeneity in the data by allowing for the fact that different population segments (latent classes) express different preferences in making their choices. For any application,...


Platforms: Windows, XP, Windows Vista, 7

LatentGOLD is a powerful latent class and finite mixture program. Latent GOLD implements the most important types of latent class (LC) and finite mixture (FM) models in three modules called Cluster, DFactor, and Regression. The differences between these three modules arise from the fact that...


Platforms: Windows, XP, Windows Vista, 7