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PCA is based on the spectral decomposition of the variance-covariance matrix of the data and produces a set of orthogonal eigenvectors, each identifying a direction, associated with eigenvalues listed in decreasing order.
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Here, once the different segments of the root system are identified, a direction value is obtained based on the vector traced between the origin of the segment and the end point.
Orientation was done by identifying a vertical direction within the image and rotating the points so that this direction aligned with the +Z axis.
Directional simulation reduces the dimension of the limit state probability integral by identifying a set of directions for integration, integrating either in closed-form or by approximation in those directions, and estimating the probability as a weighted average of the directional integrals.
According to the fault identification logic, the protection unit at the rectifier side identifies a negative direction fault while the protection unit at the inverter side identifies a positive direction fault.
Therefore, the protection units at two sides of the negative pole line identify a positive direction fault, finally an internal fault occurring on the negative pole line is determined.
After discussing multifaceted aspects of an integrated design, this paper aims to identify a possible direction of transitioning to safer streets through an integrated and inclusive design that covers road design, built-environment and land use design, and community design.
For positive pole line, it can be seen from Fig. 7 and Table 1 that the polarities of fault component voltage and current are opposite; the transient energies detected on both the rectifier side and the inverter side are negative, and they all exceed the threshold value, so two protection units on both sides of the positive pole line identify a positive direction fault.
As shown in Figs. 10, 11 and Table 3, the transient energies detected on the positive pole line and the negative pole line exceed the fixed threshold, so the protection units at two ends of the bipolar line all identify a positive direction fault.
This analysis provided the most meaningful link to strategy application and identifies a future direction of research.
We show that despite model sloppiness, inverse metamodelling can identify a reasonable direction in the parameter space to move in order to approach measured data.
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