Sentence examples for motion prediction in from inspiring English sources

Validation of the velocity structure model is important for improving the accuracy and reliability of scenario-based strong motion prediction in sedimentary basins and plains.

These characteristics are consistent with those found for P-waves in this analysis, suggesting the applicability of our methodology to strong ground motion prediction in earthquake engineering.

Although it is beyond the scope of the present work to predict short-period strong motions for the mitigation of earthquake disasters, the basin structure related to the excitation of surface waves is briefly discussed in the context of achieving strong motion prediction in the Kanto region.

We also discuss the preferred construction methodology for the characterized source model for strong ground-motion prediction in a multi-segment rupture event.

In addition, the analysis of the ground motion simulation by two different site corrections using weak and strong motion also indicates the importance of the nonlinear site effect in ground motion prediction especially in regions with soft deposits.

The model is suitable for many applications, such as real-time decision support, training simulators, motion prediction systems, Hardware-In-the-Loop (HIL) testing, operability analysis, control applications and pre-design of ships.

We investigate if rate-distortion performance can further be improved by extending these architectures with motion refinement techniques, which exploit the inter-layer motion prediction mechanisms available in SVC.

The mean prediction errors of x and y pole coordinate data are slightly greater than those computed by the current method of polar motion prediction carried out in the IERS Sub-Bureau for Rapid Service and Prediction.

The loss-aware motion estimation and loss-aware motion prediction is not used in our approach, because we extend ROPE in different direction, in fact, the gain can be accumulated if both the loss-aware motion estimation and loss-aware motion prediction are applied.

Although the results indicated that S H/V is useful for site correction in the stochastic method and that the nonlinear effect should be considered essential in ground motion prediction, the strong motion S H/V is unavailable in earthquake simulations.

Although many capabilities in the field are maturing, there are still opportunities for improvement, especially in motion prediction.