Overall reaction rates in the fluidized-bed system are also compared to those predicted for a slurry bubble column utilizing a model based on sedimentation and dispersion of the solids.
However, unlike DCS, this study did not utilize a model based fitting to decouple the effects of absorption and scattering from the dynamics, and, therefore, did not extract a quantitative estimate of blood flow.
Develop a model based on theory.
Genome size prediction was carried out using the software GCE version 1.0.0, which utilizes a Bayes model based method (Liu et al. 2013).
In this paper, a framework for the estimation of impact damage propagation in GFRP plates is proposed which utilizes a physical model based on Paris' law and data obtained from inspection of GFRP specimens by optical transmission scanning (OTS) technique.
Brooks et al. [14] proposed an algorithm that would detect the node replication attacks by utilizing a statistical model based on the occurrence number of keys used to authenticate the nodes in wireless sensor networks, but the method can only be applied successfully with certain random key pre-distribution schemes.
The proposed control approach combines the internal model control and robust inversion based 2DOF control, it utilizes internal model based control to reject external disturbance, utilizes robust inversion 2DOF control to enhance the control resolution and guarantee the system control performance.
These two programs should predict fRNAs independently because EvoFold utilizes a functional RNA model based on stochastic context-free grammars while RNAz primarily utilizes thermodynamic information to predict RNA secondary structures (while also considering covariance between secondary structures in a multi-species alignment).
The transport and reaction performances of the reactor are numerically studied utilizing heterogeneous model based on the whole reactor.
Utilizing PPK model based stochastic simulations, the maximum dosage would need to be more than doubled [21], in order to obtain the same concentrations during pregnancy as were observed in the non-pregnant subjects.
We then obtain the global distribution of ionospheric potential, utilizing a thin shell model, based on integration along field lines of the current continuity equation with a realistic model of ionospheric conductivity.
