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This numerical conversion method has two basic problems.
This results in a non-equally sampled data set, which (after calculating the creep compliance) can be well handled by both the MSD_to_J function and subsequently the numerical conversion method J_to_G, resulting in an improved complex shear modulus.
The package presents improved algorithms for mean square displacement estimation, controlling effects of frame loss during recording, and a novel numerical conversion method using segmentwise interpolation, decreasing the conversion error from about 100% to the order of 1%.
A coherent system has the property that corresponding equations among quantities and among numerical values have exactly the same form because the relations among units do not involve numerical conversion factors.
The numerical conversion method from 3D to 2D and a constitutive model for soft soils under cyclic loading is presented, along with case histories of the Port of Brisbane, the Pacific Highway in Ballina, the Sandgate Rail Grade Separation Project in Australia, and the Tianjin Port in China.
The platform was interfaced with a dedicated computer using DataStudio (Pasco, California, USA), software specially designed for the acquisition, numerical conversion, and storage of data.
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A case is presented here which shows the ability of plant systems in analyzing a host of genetic end points, including chromosome aberrations like deletions, somatic crossing over, numerical inequality, gene conversion, paramutations and point mutations.
Residues selected were subsequently subject to conversion into numerical values using all protein descriptor sets listed above.
The electromechanical coupling coefficient (k t 2) of shear mode is a numerical measurement of the conversion efficiency between electrical and acoustic energy in piezoelectric materials.
The heating value is one of the most important properties of biomass fuels for design calculations or numerical simulations of thermal conversion systems for biomass.
Fuzzification is responsible for the conversion of numerical input variable into linguistic input using input fuzzy membership functions, while defuzzification converts the fuzzy output to decisive value based on output membership functions and corresponding membership degrees.
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