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  1. Evolving Systems
  2. Evolving Systems : Volume 6
  3. Evolving Systems : Volume 6, Issue 4, December 2015
  4. A fast cellular automata algorithm for liquid diffusion phenomenon modeling
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Evolving Systems : Volume 8
Evolving Systems : Volume 7
Evolving Systems : Volume 6
Evolving Systems : Volume 6, Issue 4, December 2015
A fast cellular automata algorithm for liquid diffusion phenomenon modeling
Experimental assessment and design of multiple model predictive control based on local model networks for industrial processes
Know-How: a design pattern for generic log adapter
Generalized smart evolving fuzzy systems
A novel hybrid PSO-ACO approach with its application to SPP
Evolving Systems : Volume 6, Issue 3, September 2015
Evolving Systems : Volume 6, Issue 2, June 2015
Evolving Systems : Volume 6, Issue 1, March 2015
Evolving Systems : Volume 5
Evolving Systems : Volume 4
Evolving Systems : Volume 3
Evolving Systems : Volume 2
Evolving Systems : Volume 1

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A fast cellular automata algorithm for liquid diffusion phenomenon modeling

Content Provider Springer Nature Link
Author Al Ghaili, Abbas M. Samsudin, Khairulmizam Saripan, M. Iqbal Adnan, W. Azizun Wan
Copyright Year 2013
Abstract Liquid Diffusion Phenomenon (LDP) has been studied by numerous works in order to predict its dynamical behavior. In this article, two main contributions are presented and discussed. The first one, a Cellular Automata based algorithm is proposed in order to predict the LDP dynamical behavior. The proposed algorithm creates a set of images to form a video stream. The predicted images are compared to the original ones taken from the actual LDP scenario. In the second contribution, three benchmark strategies are discussed, which are pixel intensity, area of region of diffusion (ROD), and shape of ROD. The results of comparisons have shown high similarities to original images with an averaged percentage of similarity of 94 %. The experiments contain 600 predicted and 600 original images. The obtained results have been compared to a Cellular Neural Network based model in terms of computation time.
Starting Page 229
Ending Page 241
Page Count 13
File Format PDF
ISSN 18686478
Journal Evolving Systems
Volume Number 6
Issue Number 4
e-ISSN 18686486
Language English
Publisher Springer Berlin Heidelberg
Publisher Date 2013-09-25
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Cellular automata Diffusion equation Dynamical behavior Liquid diffusion phenomenon Video processing Complexity Artificial Intelligence (incl. Robotics) Statistical Physics, Dynamical Systems and Complexity
Content Type Text
Resource Type Article
Subject Control and Optimization Control and Systems Engineering Modeling and Simulation Computer Science Applications
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