Sentence examples for merging time from inspiring English sources

We took DTW for merging time series objects because of the results obtained from Table 1.

With higher node density, both the total merging time and the merging time per node increase almost linearly, which should be attributed to the increasing frequency of merging and information exchanges.

In this experiment, we evaluate the impact of dynamic refusal scheme on cluster forming in terms of merging time.

Theoretical analysis and experimental results show that the privacy loss of our scheme is at least 69% less; the average trajectories merging time is 50% less than existing work.

Figure 4 shows that the merging time cost per node decreases to around 0.25 s by a 0.1 s from nearly 0.35 s with the deployment of one node in each grid, and even 0.2 s is saved when there are five nodes in each grid.

One regression was also made for each symptom merging time intervals to all occurring within three months.

The Galacticus model used in this work is configured to not require any information from N-body subhalos - merging times for subhalos (whether these were part of the original trees, or high resolution subhalos grafted into those trees) are computed using the fitting function of Jiang et al. (2008) with orbital parameters drawn from the distribution of Benson (2005).

Delay in merge time is one of the important parameter which has been observed in case of unequal orifice spacing distances and its effect is analyzed for different air flow rate into the liquid tank.

In addition, the total re-computation in incremental k-means increases the merge time in reduce stage and as a result leads to a large increase in the runtime of the reduce phase.

Monthly mean data from 43 ground stations located in the northern hemisphere and equipped with Dobson spectrophotometers were used for the comparison with the individual satellite instruments and the new SNNs merged time series.

These SCIAMACHY and GOME-2 drifts could be identified and are significantly reduced using the SNN approach; the final SNN merged time series shows an excellent temporal stability of 0.2 ± 0.2% per decade and is therefore well suitable for atmospheric monitoring and climate trend studies.