Correction of Terminal Velocity Prediction Model for CO2-Kerosene and Air-Kerosene Systems by Artificial Intelligence
Sadra Mahmoudi,
Bahram Hashemi Shahraki,
Masoud Aghajani
Issue:
Volume 5, Issue 5, September 2017
Pages:
65-71
Received:
28 November 2017
Accepted:
7 December 2017
Published:
2 January 2018
Abstract: In this study the essential factors of rising air and CO2 bubbles in distillated water and kerosene investigate with the experimental and theoretical attitude. Many formulas developed by pervious investigators for bubble terminal velocity prediction in air-water system. By using PSO (particle swarm optimization) algorithm and plotting experimental data of terminal velocity against the size of gas bubbles, suitable was chosen. Results showed that Jamialahmadi model is more practical for air-water and CO2-water system. The main aim of this paper is to validate and correct Jamialahmadi model for predicting of bubble’s terminal velocities in air-kerosene and CO2-kerosene systems. Jamialahmadi model requires a modification to be utilized for air-kerosene and CO2-kerosene system. The developed PSO algorithm model is accurate for prediction of experimental data with an average R2 value of 0.976.
Abstract: In this study the essential factors of rising air and CO2 bubbles in distillated water and kerosene investigate with the experimental and theoretical attitude. Many formulas developed by pervious investigators for bubble terminal velocity prediction in air-water system. By using PSO (particle swarm optimization) algorithm and plotting experimental ...
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Redundant Residue Number System Based Multiple Error Detection and Correction Using Chinese Remainder Theorem (CRT)
Idris Abiodun Aremu,
Kazeem Alagbe Gbolagade
Issue:
Volume 5, Issue 5, September 2017
Pages:
72-80
Received:
16 November 2017
Accepted:
30 November 2017
Published:
10 January 2018
Abstract: During the last decade information security and reliable communication is unavoidable in information processing. Residue Number Systems (RNS) are still attracting considerable attention from the research community in digital signal processing. In this paper a new low cost method for multiple error detection and correction based on the Redundant Residue Number System (RRNS) was exhibited. RRNS is obtained by adding some redundant residues which brings in error detection and error correction competence. The proposed multiple error correction scheme exploit the Chinese Remainder Theorem (CRT) together with a novel algorithm that significantly simplifies the error correcting process for integers. The result is slightly different from the current state of the art whereby the error value is estimated using optimization algorithm such as integer programming and the proposed multiple error correction schemes does not require complex iterations in order to correct the errors.
Abstract: During the last decade information security and reliable communication is unavoidable in information processing. Residue Number Systems (RNS) are still attracting considerable attention from the research community in digital signal processing. In this paper a new low cost method for multiple error detection and correction based on the Redundant Res...
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