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A roughness estimator is constructed that allows computing estimates of the surface roughness at a time-scale comparable to the real-time evolution of the process using discrete on-line roughness measurements.
Estimates of the surface temperature distribution are important for mission design.
Estimates of the surface hardness are made by the extrapolation of the experimental hardness indentation depth curves.
The accuracy of these estimates, in turn, depends upon accurate estimates of the surface heat transfer coefficient for the cooling or freezing operation.
The proposed method uses online estimates of the surface normal (tangent) direction to dynamically modify the control target and control space decomposition.
Quantitative estimates of the surface area-to-volume ratios of nanoporous layers with different Pt content indicate their relative functionalities for surface area driven applications.
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We have also shown the image of this group estimate on the surface of one of the five subject's brain.
The profiles obtained gave an estimate of the surface oxygen-containing groups.
An approximate estimate of the surface coverage of the electrode (Г/mol cm−2) was obtained by the method used by Sharp et al (Sharp et al. 1979).
They used a plane that is fitted to a neighbourhood around each data point, providing an estimate of the surface normal for the point.
Recall that the above process gives us a list of simplices S 1,…,S m and associated weights w 1,…,w m, with w j an estimate of the surface area of the contour approximated by simplex S j.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com