Basing on such process, we introduce a Markov process-driven fluid queue model of energy level evolution, which captures data transmission together with energy expenditure/replenishment processes.
Previous analyses of protein network evolution [ 22] as well as models of network evolution [ 30] were based on such a symmetric process.
Some important considerations for process control design based on such multivariable characteristics of the process are discussed.
Development of industrial fermentation processes based on such an approach requires, amongst other steps, the identification of yeast strains which are able to grow and respire under the relatively harsh conditions found in grape must.
A process based on such a direct combination, but employing large quantities of electrical power, was in use in the 1920s and 1930s in Norway, where hydroelectric power is readily available.
Therefore, generating PFC3D models that can reflect SRM's real heterogeneity and irregular structure, as well as conduct a numerical simulation of SRM's deformation, failure and crack propagation process based on such a real 3D model, remains a great challenge.
Based on such feature coding representation, a detailed process plan can be generated through a process optimization module that incorporates an object-based knowledge system for achieving enhancement in terms of resource allocation.
Part I of the paper presented several possibilities for qualitative and quantitative analysis of process dynamics based on such decomposition.
A multivariate statistical process control framework, based on such PCA description (PCA-MSPC), is proposed to monitor formation quality, which provides quite good results when applied to the available images, as analyzed with the ROC curve for the method and confirmed with a Monte Carlo simulation study using subimages with 1/4 of the size of the original ones.
Based on such analyses, system modeling can further enhance developing operation strategies, or help optimizing cultivation processes [ 1- 4].
