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To better manage the inherent risks, we need to understand, model, design, predict, control, and optimize the dynamics and behavior of such systems.
In contrast, he said, surface physicists, who study things like the formation and growth of crystals, have modeled the behavior of such systems, albeit on the basis of mathematical formulas that are ultimately unsolvable.
In this paper, we present two equivalent analytical models to study and analyze the behavior of such systems.
The stochastic nature of both carrier and dispersed phase justifies a stochastic approach to describe the behavior of such systems.
The experimental methods that are utilized in evaluation of thermodynamic behavior of such systems are provided in Section 5.
Models describing the electrical behavior of such systems are based not only on schematics, physical and chemical approaches but also on equivalent circuits.
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The theoretical modelling of the dynamic behavior of such system is based on numerical investigations of two-dimensional cellular automatons.
Given an RBAC system implementing a policy P, FSM-based testing can verify if the behavior of such system conforms to P using its respective FSM(P) and some test generation method, such as W or transition cover (Masood et al. 2009).
Meanwhile, natural and dynamic behaviors of such systems are significantly influenced by the baffle parameters, such as the baffle number, the installation location, the inner-hole diameter and the liquid fill height.
These unique features are advantageous for many applications (i.e., carry-on medical devices, embedded infrastructure sensors, aerospace, transportation, etc).. To ensure the efficient applications of thermoelectric energy harvesting system, the behaviors of such systems need to be fully understood.
Subsequent nonlinear dynamical behaviors of such systems are commonly investigated with simplified academic models mainly due to theoretical difficulties and numerical challenges involved in non-smooth large-scale realistic models.
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