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Except travertine, DSRV-surface roughness and WSRV- surface roughness relationships of the samples were investigated.
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By taking any particular scene obtained in this way to be made up of a set of concatenated surface patches, we were able to explore the statistics of scene roughness, size-distance relationships, surface orientation and local curvature, as well as the independent components of natural surfaces.
The relationships between roughness data were studied for statistical roughness parameters, spatial roughness parameters and in the frequency domain.
It has been revealed that the data from smartphone accelerometers has a linear relationship with road roughness condition, whereas the strength of the relationship varies at different frequency ranges.
From a general logarithmic relationship between roughness factor δ and the fractal dimension d of the electrode surface, derived from known equations, and the linear relationship between n and 1/δ, an empirical logarithmic relationship between n and d is obtained.
We explored the relationship between roughness, porosity/surface area, and wettability of RAs on their water absorption (WA) kinetics.
It is concluded that, in practice ANFIS model can be used as a suitable and effective method to predict the non-linear relationship between roughness coefficient and the non-dimensional factors affecting it.
The relationship between roughness and the antenna's radiation properties is obtained.
On the other hand, surface roughness could change the relationship between the capacitance and the electric potential.
According to the relationship between roughness and wettability established by Wenzel, the increase of surface roughness will enhance the wettability caused by the chemistry of the surface [23].
The positive relationship between roughness and OTR is considered a confirmation of the adequacy of microstructural analysis for understanding the structure of nano-engineered cellulose films.
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