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The non-fiducial algorithm is used for maintaining better the station configuration.
These modules are gradually moving relative to each other, distorting the station configuration and potentially threatening the inter-module connections.
The optimization depends on the choice of adaptation of the power station configuration to the resources available.
The results show that the proposed method is effective for precipitation station configuration optimization, and the model solution achieves higher coverage than the real-world deployment.
Our results show that the waveform fits were greatly improved when the explosion-induced crustal strains were less than 2 × 10−5 for our station configuration.
Simulation results show that this model can be used in an accurate way to characterize base station configuration when it is subjected to heavy data and voice loads.
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This figure shows combined data/conservative-model PGA shakemaps for Northridge using the same station configurations in slide 6.
We compared E i obtained from the three models with various station configurations (Fig. 11).
Table 1 List of station configurations for synthetic inversions conducted in this study.
For the water model, the errors are smaller than 0.04 for all parameters and station configurations.
The range of the lines and the circle, square, and triangle symbols indicate the station configurations (Table 1) used in the inversions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com