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Wavelength converters and changing link weight help much in improving the traffic performance when the number of splitters is adequate.
This is contrasted with the bus-based approach, which may require several design iterations to deliver the same performance when the number of IP blocks connected to the bus exceeds certain limits.
Although these three 1,3-FTs contained heptad repeats and membrane-anchoring regions of varying lengths, they commonly exhibited an optimal performance when the number of heptad repeats was increased, and membrane-binding region was removed.
Our results show that this method can achieve excellent delay and through put performance: When the number of array antenna is 8, its through put increase relative to the standard Slot-ALOHA protocol is 125%.
RAUR showed better performance when the number of sending source increased to 40 in Figure 6.
First, we evaluate the network performance when the number of nodes with burst data increases.
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Figure 1(b) showed that there is no significant (p-value = 0.469 using ANOVA) decrease of prediction performances, when the number of features is filtered down.
The approximation d̂SPR is very good for small values of dSPR, and we observed a lower performance when the "real" number of SPR moves increases.
Examination of the apparent accuracy of a multivariable model using the training dataset results in optimistically biased performance [ 24], and the potential for optimism in model performance increases when the number of events decreases and the number of candidate predictors increases [ 25].
It achieves ML performance (in the Max-log-MAP [47] sense) on two transmit antennas, but its performance degrades when the number of antennas increases.
Furthermore, PROC presents a graceful performance degradation when the number of nodes in the network increases.
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