Sentence examples for diffusion rule from inspiring English sources

This allows one, for instance, to modulate the rate of a diffusion rule as a function of the size of the species being diffused.

This new technique is based on the modification of the classical diffusion rule by using a nonlinear sigmoidal function.

Perona-Malik introduced the following diffusion rule: ∂ I t ( x, y ) ∂ t = div c t ( x, y ) ⋅ ∇ I t ( x, y ) (2).

This anisotropic diffusion rule can discretely be implemented by using four nearest-neighbors and the Laplacian operator [17]: I t + 1 ( x, y ) = I t ( x, y ) + 1 4 ∑ i = 1 4 c t i ( x, y ) ⋅ ∇ I t i ( x, y ) (5).

With the finite difference scheme and the central differencing in spatial domain, the 2D anisotropic diffusion rule can be then expressed as: I ( i, j, t + 1 ) = I ( i, j, t ) + λ ⋅ [ c N ⋅ ∇ I N ( i, j, t ) + c S ⋅ ∇ I S ( i, j, t ) + c W ⋅ ∇ I W ( i, j, t ) + c E ⋅ ∇ I E ( i, j, t ) ] (12).

A diffusion rule moves reactants from the current compartment to the compartment specified in the right-hand side.

Dante selection of d-alanine and l-alanine frequencies followed by 13C13C spin diffusion rules out scrambling of carbon labels.

Using a self-designed simulation system, the multi-radial vortex airflow migration and dust diffusion rules were experimentally investigated.

To study the diffusion rules of coal dust, fluent discrete phase model was utilized in the numerical simulation, as the coal dust was thrown down at a horizontal velocity of 2.5 m/s.

The preprocessing steps are presented in Section 3. A review of the Perona-Malik anisotropic diffusion rules and the improved diffusion model proposed by Shin-Du [14] are developed in Section 4. Section 5 presents the new proposed anisotropic diffusion model and presents experimental results on many radiographic images with various defects.

The internal and external concentrations are changed dynamically by the regulation network and diffusion rules presented above.