Sentence examples for roughness estimation from inspiring English sources

In this paper, we propose a GPU-based parallel computing method for 2D surface roughness estimation.

This article is focuses on the development of predictive models for surface roughness estimation in SPIF process.

Most of the existing roughness estimation methods for water tunnels are related to either unlined or concrete/steel-lined tunnels.

Although the white noise (complex sound) significantly decreased the slope of the roughness estimation function, it did not affect that of the length estimation function.

By using an on-line road roughness estimation, considered as a scheduling parameter, the proposed LPV/ℋ∞ controller is designed to improve comfort and road holding.

A Receiver Operating Characteristic (ROC) curve is used to monitor the performance of the roughness estimation; the results show that any road can be identified (at least 70% of success with a false alarm rate lower than 5%).

Finally, modeling of surface roughness enables the estimation of the electrical resistivity in good agreement with corresponding measurements.

A real-time monitoring system is proposed here to predict surface roughness with an estimation error of 9.5%, by using the vibration signal that is emitted during the milling process.

Specifically, the natural topography modification scheme was presented, and further, a reasonable water storage volume and hydraulic residence time was obtained, based on the reasonable estimation of roughness coefficient and pollutant removal rate of the NEWTS with phragmites communis.

3D coordinates extraction, 3D distances and area measurement, planar best-fit for discontinuity orientation, directional roughness profiles, block size estimation, and other tools have been experimented on a calcareous quarry in the French Alps.

Comparisons of the three theoretical methods for estimation of surface roughness and cylindricity with measured one were carried out.