Sentence examples for system variables that from inspiring English sources

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The system is represented by dominant system variables that represent active and passive dynamical elements.

The model used is obtained using dominant system variables that represent active and passive dynamical elements.

Generally speaking, the goal of optimization is to find the particular set of system variables that maximize or minimize an objective function, subject to a set of constraints.

Real-world data from recursive resolvers is analyzed statistically in order to characterize the system variables that describe query behavior at each of the independent system components.

For decades, researchers have explored the factors that influence the accuracy of those memory judgments, including consideration of both system variables that are controlled by the legal system (e.g., identification procedures and instructions) and estimator variables that are intrinsic to the witness's experience of the crime (e.g., viewing distance, stress).

By analogy with the single cell models by Av-Ron et al. [29], future work will address this issue by introducing particular bifurcation parameters as time-dependent system variables that may trigger the start and stop of oscillations.

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Where F n, n = 1, 2, …, 5 are fuzzy inference system variable that has been assembled from the real data of the examined turbine.

The simpler model we ended up with contains systems variables that typically could be linked to the RIS framework.

The current study seeks to determine the Anidolic Daylighting System (ADS) variables that are applicable under tropical climate, according to modified duct shapes, duct width, duct length and distributor configuration.

In this paper, the detrimental effects of the residual water content in the vapour refrigerant are described and quantified based on the system design variables that determine the effectiveness of the purification process.

In this kind of ideal system, the variables that affect the A/DCAP should be managed in a public-private partnership that will create the right conditions to foster fruitful collaboration between academia and industry in order to improve knowledge and develop technologies.

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