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Both PSO and AIM methods underestimated WS values during most hours with an average value of 0.036 m/s and 0.02 m/s, respectively.
To estimate Alignment, we calculate the correlation coefficient between the global issue issue WS values and the ones coming from a single layer.
Impact equal to zero would imply that removing the layer from the network would not change the distribution of the WS values at all. Figure 7 (right) shows the relationship between Alignment and Impact across all the organizations.
Alignment∗ is the correlation between the WS values of the layer and the ones coming from the global network minus the layer itself.5 A high Impact value means that, if we were to remove the layer from the global network, the network would change into something rather different than the layer itself.
The weighting formula is: wS=importance rating*((2*satisfaction rating)−3), provided both ratings are made on scales ranging from 0 to 4. The measure of 'Global Life Satisfaction' is the sum of the wS values.
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In the meantime, the new converted M w values approach the Harvard M w values.
Accordingly, we use empirical relationships with the Harvard M w to transform our old converted M w values to new converted M w values and to transform the original BATS M w values to converted BATS M w values.
The new converted M w values are almost the same equivalent to the Harvard M w values in the selected regression range.
The regressive slope is 1.0, indicating that our new converted M w values are the same as the Harvard M w values in the regression range.
Regarding the cost function, the r and c w values have been taken from the literature.
Two W values are obtained at different exposure times, and then fused to prevent saturation.
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