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In this paper, a framework for the estimation of impact damage propagation in GFRP plates is proposed which utilizes a physical model based on Paris' law and data obtained from inspection of GFRP specimens by optical transmission scanning (OTS) technique.
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On the other hand, Projection Augmented Model utilized a physical model, which is projected with computer images.
We recently introduced a physical model [T.X.
Then they constructed a physical model to validate that prediction.
To this end, we have extended the framework by adding radio environment maps and a cognitive decision engine which utilizes a physical throughput model to estimate and optimize the throughput of the IEEE 802.11 network.
This paper presents a physical modelling study outlining a technique whereby buoyant contaminant flow within water-saturated unconsolidated sand was remotely monitored utilizing the time-lapse 3-D (TL3-D) seismic response.
Utilizing a simplified physical model and the definition of hydraulic diameter, a generalized expression for enclosed geometries is derived which offers thermal engineers a powerful analysis tool that can use virtual walls with an associated fictitious Marangoni stress for pre-screening and estimation of Nusselt numbers.
Therefore, to identify relevant physical behaviors in the intrinsically high-dimensional nature of resulting data, without a deterministic physical model, clustering and unsupervised learning techniques can be utilized to establish statistically significant correlations in data sets.
Furthermore, a simple physical model describing the behaviour of conductive pathways under shear deformation was derived and utilized for the description of the experimental data.
Bennett presented an explicit physical model for reversible measurement.
Therefore, to eliminate the need for these additional enhancements, Deyle et al. (2008) developed a system that utilizes a robot that houses a physical sensor model and a particle filter that utilizes direct-path and multi-path RF propagation models, which are integrated into the filter by low variance resampling that predicts the far-field read range.
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