When model parameters in systems biology are not available from experiments, they need to be inferred so that the resulting simulation reproduces the experimentally known phenomena. For the purpose, Bayesian statistics with Markov chain Monte Carlo (MCMC) is a useful method. Conventional MCMC needs likelihood to evaluate a posterior distribution of acceptable parameters, while the approximate B...

Abstract In this work we have applied the computational methodology based on Artificial Neural Networks (ANN) to kinetic study of distinct reaction mechanisms determine different types parameters. Moreover, problems ambiguity or equivalence are analyzed in set parameters systems when these from natures. The show possibility existence two possible parameter values that fit experimental data. det...

Particle swarm optimization (PSO), as a novel evolutionary algorithm involved in social interaction for global space search, was firstly used in kinetic parameter estimation. Based on three developed nonlinear kinetic equations for bacterial cell growth, total sugar utilization and -mannanase production by Bacillus licheniformis under the support of a batch fermentation process, various PSO alg...

This study aimed to monitor the process parameters and to determine kinetics in composting of organic fraction of municipal solid waste (OFMSW) and poultry manure. The experiments were carried out with three different mixtures. The results showed that the mixture 60% OFMSW, 20% poultry manure, 10% mature compost and 10% sawdust provided the most appropriate conditions for composting process. Us...

Pyrolysis essentially is the thermal decomposition of organic matter under inert atmospheric conditions or in a limited supply of air, leading to the release of volatiles and formation of char. Modeling of pyrolysis implies the representation of the chemical and physical phenomena in a mathematical form. In this study, Differential Evolution (DE) algorithm is applied and global optimum set of k...

Pyrolysis is the thermal decomposition of organic matter under inert atmospheric conditions, leading to the release of volatiles and formation of char. It is also a first step in the biomass gasification. Understanding of kinetic parameters is essential for the design of a suitable pyrolysis reactor. In the proposed kinetic model of this study, the kinetic scheme of biomass decomposition by two...

in this study, an in-house multi-dimensional code has been developed which simulates the combustion of n-heptane in a homogeneous charge compression ignition (hcci) engine. it couples the flow field computations with detailed chemical kinetic scheme which involves the multi-reactions equations. a chemical kinetic scheme solver has been developed and coupled for solving the chemical reactions an...