Sentence examples for prediction of the required from inspiring English sources

Once the modeling process is completed it provides a fast and accurate prediction of the required physical parameters for a given coupling factor and Qext.

The advantage of this approach over conventional computation of stochastic response via a standard stochastic finite element-based MCS is the fast and reliable prediction of the required response sample space which can be accomplished at a fraction of computing time and is independent of the size of the finite element model.

Moreover, a correlation is derived for the prediction of the required pressurant gas mass, based on the Jakob number and the thermal expansion Froude number, identifying pressurant gas temperature, phase change, and tank aspect ratio as the most important parameters, determining the required pressurant gas mass for cryogenic propellant tanks.

Since the ultimate goal of the study was to create recommendations for veterinary practitioners the decision tree uses only very basic clinical signs for the prediction of the required amounts of buffer substances.

For manufacturing storage tanks and design of systems, prediction of the time required for water solidification and accumulation of ice by numerical simulation and experimental methods is necessary.

One area that may evade analysis using such techniques is the prediction of the power required to move air through the WHRS; this is highly dependent on the exact geometry of the components within the WHRS and all interconnecting ductwork.

Prediction of the second requires values of the laminar burning velocity and Markstein number.

Anecdotal evidence suggests that surgeons' and anaesthetists' predictions of the time required are often wildly inaccurate, resulting in other team members idling extra time away refining their Sudoku skills and increasing their consumption of caffeine, tea, and biscuits.

This formulation enables the prediction of pressures required to shock consolidate materials; results of calculations for the superalloy and silicon carbide as a function of particle size and porosity are represented.

The stepwise construction of the regression model resulted in the inclusion of only those variables that were statistically meaningful in the prediction of time required to complete each PA request.

However, given the constraints of a two-dimensional model, accurate prediction of velocity magnitudes required the calibration of the inlet velocity with field-measured data.