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Because all asperities of the expected Nankai and Tonankai earthquake source models are deep, it is possible to neglect the effect of the oceanic water layer on the strong ground motion prediction for these source models. .
Because all asperities of the expected Nankai and Tonankai earthquake source models are deep, it is possible to neglect the effect of the oceanic water layer on the strong ground motion prediction for these source models.
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Areas of anomalous GF amplitude are important for the asperity/SMGA setting of source models for strong motion predictions for megathrust earthquakes.
This indicates that the PLUM method and other wavefield estimation approaches are needed for robust strong-motion prediction for intense seismic activities.
Kuriyama and Iwata (2011) examined the construction methodology of a source model for strong ground motion prediction of a scenario earthquake for the Nobi earthquake.
Installed on the goalkeeper robot, Kinect sensor is utilized to capture RGB-D images in the frame rate of 30 Hz, which are used to produce color segmentation results and point clouds for localization and motion prediction of the soccer.
Liu and Tsai (2005) derived new ground motion prediction equations for crustal earthquakes in Taiwan using a traditional regression method.
The state-of-the-art ground motion prediction equation for induced seismicity is applied in Monte Carlo simulation to obtain a stochastic field of the seismic intensity.
These findings are quite important for the assumption of source models for strong motion predictions from such huge interplate earthquakes.
The horizontal PGA values were compared with those predicted by two ground motion prediction equations (GMPEs) for ground accelerations.
Thus, our findings suggest that information processing between V5 and V1 is crucial for visual motion prediction, providing experimental support for the predictive coding framework.
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