multiscale stochastic modeling approach
Multiscale modeling, stochastic and asymptotic approaches for analyzing neural networks based on synaptic dynamics
... present approach can be generalized in three dimensions and higher to study periodic bursting, which usually involves many degrees of ...This approach has potential applications for Morris-Lecar and ...
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A chemical energy approach of avascular tumor growth: multiscale modeling and qualitative results
... Their approach is based on the principles of continuum ...istic approach neglects random influences on the growth process, stochastic differential equations can be regarded as more adequate models ...
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Multiscale modeling of multiphase flow in porous media using the thermodynamically constrained averaging theory approach
... be defined in terms of microscale counterparts. Unfortunately, while helping to resolve many inconsistency issues, formal averaging approaches along these lines result in large systems of equations, with an even larger ...
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Stochastic multiscale modeling of two phase materials based on first order perturbation method
... a stochastic homogenization method based on first-order perturbation ...the stochastic homogenized properties of fiber reinforced composite and honeycomb ...of stochastic multiscale analysis ...
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Visual modeling and simulation of multiscale phenomena
... phenomenological approach, using simple procedures to emulate the visual appearance of a given system, without reference to the underlying ...for modeling physical ...the stochastic fine-scale ...
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Stochastic Multiscale Modeling of Dynamic Recrystallization
... Their approach is useful for low temperatures, at which the formation of (shear-)laminates dominates the grain refinement process; however, it does not account for conditions under which grains nucleate through ...
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Planning Databases Service Level Agreements through Stochastic Petri Nets
... the authors suggest adopting a queueing networks approach for DB response time estimation. The DB execution time is estimated by mapping DB queries according to patterns of resource consumption. Meanwhile, queue ...
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Multiscale Modeling of Failure in Composite Materials
... A roadmap for an integral multiscale approach to composite failure is shown in Fig. 9. As indicated there, the first step is to characterize the microstructure of the composite as it results from the ...
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Multiscale Modeling of Radiation Hardening in RPV and Austenitic Stainless Steels: from the Atomic to the Continuum Scale
... Given the nanometric size of radiation defects, Radiation Induced Hardening (RIH) is a textbook case of multiscale physical phenomena. On the one hand, pure atomic features that cannot be described by elasticity ...
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Summary results of the 2014 2015 DARPA Chikungunya challenge
... Modeling Approach: Participant 4 used an empirical approach to fit the observed incidence provided by PAHO using the least-means squares. For epidemics where there is active transmission in a ...
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Diffusion approximations for multiscale stochastic networks in heavy traffic
... of the averaged (with respect to p ∗ ) arrival/service rates and routing matrices. Thus one finds that, as n → ∞, the effect of the Markov process X n on the dynamics of Q b n is averaged out with respect to p ∗ . Such a ...
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Dynamic Systems Modeling with Stochastic Cellular Automata (Evolutionary versus Stochastic Correlation Approach)
... use stochastic cellular automata and heuristics for their design and some stochastic search algorithms to optimize free model pa- ...this approach with more traditional mathematical ...
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A Data-Driven Method for Probabilistic Damping Assessment in Power Systems Using Synchrophasors.
... the available PMU data to identify coherent clustering of generators. This means that, we first apply techniques by which one can identify which of the n substations (assuming that these substations are in close vicinity ...
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Application of spreadsheet and queuing network model to capacity optimization in product development
... This paper proposes a manufacturing system modeling approach using a spreadsheet model based on queuing network theory, in which a static capacity planning model and stochastic queuing m[r] ...
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Peer selection and influence effects on adolescent alcohol use: a stochastic actor-based model
... The strength of the study lies in its innovative meth- odology, wealth of friendship variables, prospective de- sign and large study sample size. The study also has several limitations. First, adolescents were limited to ...
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Multiscale Model Reduction Methods for Deterministic and Stochastic Partial Differential Equations
... a multiscale model reduction method for several standard types of elliptic, parabolic, hyperbolic, and convection-diffusion ...the multiscale coefficient of the governing equation and the ...this ...
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COPING WITH REVENUE RECOGNITION IN THE LOYALTY REWARD PROGRAMS INDUSTRY: A STOCHASTIC MODELING APPROACH
... “accumulated”) over the horizon. Hence, if the transaction groups are thought of as states of nature in a Markov chain, and the probabilities associated with the arcs illustrated in Figure 1 are assumed to be ...
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Forward Electrophysiological Modeling and Inverse Problem for Uterine Contractions during Pregnancy
... Synthetic MMG data sets were also employed to test our estimation approach. These syn- thetic data sets were generated using our realistic multiscale electromagnetic model [74] which is detailed described ...
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1 A multiscale modelling approach for estimating the
... with a unidirectional carbon fiber composite beam, from which the micromechanical model was.. 20.[r] ...
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Multiscale modeling in the clinic: diseases of the brain and nervous system
... Addiction is a complex psychological and neurophysio- logical manifestation, defined in terms of drug-using behaviors. Because of the importance of behavior in defining the syndrome, and because the syndrome depends on ...
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