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An arithmetic algorithm was designed by incorporating road design data, sectional quantities, variable productivity rates and haulage distance.
A straightforward arithmetic algorithm was used to identify the highest ranked items and items were edited according to specific suggestions.
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A hybrid clustering-fuzzy arithmetic algorithm is here proposed, which uses cluster analysis to quantify porosity uncertainty, then the uncertainty is projected to the irreducible water saturation and permeability by the means of fuzzy arithmetic.
Distributed arithmetic algorithm is used for low-power finite impulse response (FIR) filter implementation without multipliers.
However, special comparison and correction steps are required when decimal arithmetic algorithms are implemented on binary hardware.
Implementation target, underlying finite fields, coordinate system and modular arithmetic algorithms are key design elements that impact the overall implementation outcome.
Applying these fast truncated multiplications, several cryptographic long integer arithmetic algorithms are improved, including integer reciprocals, divisions, Barrett and Montgomery multiplications, 2n-digit modular multiplication on hardware for n-digit half products.
The un-weighted pair group method with arithmetic mean (UPGMA) algorithm was used for cluster analysis.
The simple arithmetic mean algorithm is adopted to determine the final position.
After comparing and analyzing the results of the proposed scheme, which is lossless compression algorithm, a slightly better compression ratio as compared to binary arithmetic coding algorithm is revealed and higher hiding capacity with better image quality of stego images is obtained, providing strong evidence for higher capacity, quality and sensitivity.
A cluster analysis using the categorical distance and unweighted pair group method with arithmetic mean algorithms was also applied.
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CEO of Professional Science Editing for Scientists @ prosciediting.com