Section 4.3 illustrates the generality of this metric by showing how it can incorporate risk as well as reliability, and §5 uses this measure to evaluate the performance of our method when implemented in an actual peer-to-peer network.
Figure 4 shows the computation time of our scheduling method when implemented on an Intel Core 2 Duo CPU with a frequency of 2.8 GHz and 4 Go of RAM.
While the success of such a method, when implemented, will greatly depend on accessible and regularly updated surveillance reports, further studies are yet needed to provide a large-scale evaluation of this potentially useful epidemiological tool.
According to these results, although all the methods performed better when implemented in conjunction with the overestimation parameter, ANSS with overestimation parameter (ANSS + OEP) performed the best among them, and its combination with energy and cepstral mean and variance normalization (ANSSOEMV) performed even better than the ETSI-XAFE.
The method scales well when implemented on GPUs.
The advantages of this method are that when implemented correctly it is fast, efficient, and accurate.
Further evidence concerning the strengths and weaknesses of experience-sampling methods, especially when implementing single-item measures, will help to foster research on emotional experiences in teaching and learning processes.
The BRB method is quite flexible when implemented via MKDE as it mechanically generates LKDE-based UD estimates with a constant smoothing parameter equal to hmin (which must be set to an appropriate value for LKDE) whenever all track segments are longer in time than Tmax.
This method is especially valuable when implemented with the BIGSdb platform that enables standardization of data [ 53].
In the presence of dry areas, special interest is given to the wave front speed computation, highlighting the stability of the method, even when implementing the asymptotic preserving correction.
