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These entities are used to model systems at a very high level of abstraction and to gain system performance estimates before proceeding to more detailed design.
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In this scheme, WNN estimates the external force disturbance to attenuate its effects on the control system performance by estimating the environment model.
Within a stochastic simulation setting this metamodel is first utilized to approximate the system performance when estimating the objective function for specific design configurations.
System performance is estimated and verified through a variety of experiments, including comparisons with previous approaches such as YFilter and LazyDFA.
The C-RAN system performance is estimated in terms of the normalized payoff, C-RAN resource efficiency, system fairness, and QoS satisfaction probability.
The MCIoT system performance is estimated in terms of the normalized energy consumption, application execution time, and QoS satisfaction probability under various offered computation loads.
By means of an ad-hoc model, the system performance has been estimated for several geometrical configurations among those possible according to the current compressor and heat exchangers technology.
We have also made complementary measurements on the same rock samples with a micro-Raman system in 180 and 135° geometry for evaluating the system performance and for estimating effect of grain size and laser-induced heating on the spectra of minerals using α-quartz as a model mineral.
The S2C requires a minimum set of input data and provides a fast prediction of the estimated system performance.
Mixing system performance is predicted by estimating the fraction of the tank floor where the applied shear stress exceeds the sludge's estimated critical shear stress.
The underlying tenet of our work is that neither of these trends will become fully mature without: (1) An understanding for how and why system entities are connected together, and (2) Formal procedures for assessing the correctness of system operations, estimating system performance, and understanding trade spaces involving competing design criteria.
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CEO of Professional Science Editing for Scientists @ prosciediting.com