Sentence examples for model a gradient from inspiring English sources

With the full buffer model, a gradient scheduling algorithm exhibits a trade-off between average user throughput and the user throughput at 5% outage.

The results also show that with the full buffer model a gradient scheduler exhibits a trade-off between average user throughput and the user throughput at 5% outage, but it does not when the more realistic finite buffer is used.

The obtained results will show that under the OFDMA network model: A gradient scheduling algorithm is able to maximize the aggregate utility over all the users (for a given utility function) when the less realistic full buffer model is adopted; but not when the finite buffer model is applied.

In this model, a gradient of Eph receptor was expressed in retina with the anterior cells expressing very low levels and the posterior cells expressing the highest levels of the receptor.

We found similar results as with the exponential model; a gradient map of discount rate in the control condition, significant correlation of V t) with steeper discount rate only in the ventral putamen, and significant correlation of V t) with slower discount rate only in the dorsal putamen and caudate nucleus.

Female cushion plants became less viable under reduced pollen loads and the stress gradient hypothesis was supported as means to model a gradient of pollen deposition rates because it is also clearly a potential limitation in some stressful ecosystems.

These findings conflict with those for two other well known cyprinid models: a gradient hybrid zone has been reported between Barbus barbus and Barbus meridionalis in the Lergue (Europe) [11] and asymmetric introgression in two Luxilus species (America) [12] has been accounted for by historic effects (refuge populations and dispersal route).

Figure 5 Controlling factors of landslides as input of the SVM modelling (a) Slope gradient; (b) Aspect; (c) Land cover; (d) Distance to fault; (e) PGA; (f) Elevation; and factors of geology unit can be seen in Figure 2 (b).

A genetic algorithm based on the graph theory is also proposed to solve the bi-level programming model with a gradient project algorithm for solving the lower-level model.

There is a continuous exposure to a fixed concentration of the agent for a defined duration (e.g., 24 h) in an ex vivo model, whereas a gradient of concentration in the dynamic in vitro model.

The original MPS gradient model with a Gradient Correction [1] is shown to provide stable and accurate results even in case of violent multiphase flows characterized by high density ratios.