A semi-empirical sea-spectrum model for scattering coefficient estimation

1982 ◽  
Vol 7 (4) ◽  
pp. 166-176 ◽  
Author(s):  
A. Fung ◽  
Khim Lee
Keyword(s):  
Scattering Coefficient ◽  
Coefficient Estimation ◽  
Semi Empirical ◽  
Spectrum Model

Image Dehazing with Scattering Coefficient Estimation using CNN-based Image Regression

2021 ◽  
Vol 27 (11) ◽  
pp. 890-896
Author(s):  
Won Young Chung ◽  
Sun Young Kim ◽  
Chan Gook Park ◽  
Chang Ho Kang
Keyword(s):  
Scattering Coefficient ◽  
Image Dehazing ◽  
Coefficient Estimation

Modeling of the Association of Metal Ions with Heterogeneous Environmental Sorbents

1994 ◽  
Vol 353 ◽  
Author(s):  
John C. Westall
Keyword(s):  
Metal Ions ◽  
Surface Complexation ◽  
Empirical Models ◽  
Mechanistic Models ◽  
Solution Composition ◽  
Wide Range ◽  
Environmental Materials ◽  
Semi Empirical ◽  
Spectrum Model ◽  
Leonardite Humic Acid

AbstractThe use of mechanistic (surface-complexation, electric-double layer) and semi-empirical (affinity spectrum) models for representation of the association of metal ions with heterogeneous environmental materials, such as humic acids and soil particle surfaces, is compared. It is seen that mechanistic models are not nearly as mechanistic as one generally assumes, and that semi-empirical models are much more valuable than one might assume by comparison to simple Kd, models. A semi-empirical discrete-log-K-spectrum model was used to describe the binding of Co(II), as a function of pH and NaClO4 concentration, to two environmental substrates: leonardite humic acid and a kaolinitic subsoil. Excellent agreement of the model and the data was obtained over a wide range of solution composition. These models appear to be the most promising among several alternatives for modeling interactions of metal ions with complex heterogeneous environmental materials over a wide range of solution composition.

A Semi-Empirical Surface Pressure Spectrum Model for Airfoil Trailing-Edge Noise Prediction

2015 ◽  
Vol 14 (5-6) ◽  
pp. 833-882 ◽  
Author(s):  
M. Kamruzzaman ◽  
D. Bekiropoulos ◽  
Th. Lutz ◽  
W. Würz ◽  
E. Krämer
Keyword(s):  
Surface Pressure ◽  
Noise Prediction ◽  
Trailing Edge ◽  
Trailing Edge Noise ◽  
Semi Empirical ◽  
Spectrum Model
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