scholarly journals A stochastic cellular automata model for rice tillering in the system of rice intensification

2018 ◽  
Vol 1053 ◽  
pp. 012104
Author(s):  
Monamorn Precharattana ◽  
Tanaporn Kajonphol
Keyword(s):  
Cellular Automata ◽  
System Of Rice Intensification ◽  
Stochastic Cellular Automata ◽  
Cellular Automata Model ◽  
Rice Intensification

scholarly journals A CARBON-CYCLE-BASED STOCHASTIC CELLULAR AUTOMATA CLIMATE MODEL

2011 ◽  
Vol 22 (06) ◽  
pp. 607-621 ◽  
Author(s):  
KLAUS LICHTENEGGER ◽  
WILHELM SCHAPPACHER
Keyword(s):  
Carbon Dioxide ◽  
Cellular Automata ◽  
Forest Fires ◽  
Atmospheric Carbon Dioxide ◽  
Climate Model ◽  
Small World ◽  
Stochastic Cellular Automata ◽  
Cellular Automata Model ◽  
Plant Life ◽  
Short Time

In this paper a stochastic cellular automata model is examined, which has been developed to study a "small" world, where local changes may noticeably alter global characteristics. This is applied to a climate model, where global temperature is determined by an interplay between atmospheric carbon dioxide and carbon stored by plant life. The latter can be released by forest fires, giving rise to significant changes of global conditions within short time.

Cellular Automata Simulations of Vapor–Liquid Equilibria

2006 ◽  
Vol 59 (12) ◽  
pp. 865
Author(s):  
Paul G. Seybold ◽  
Matthew J. O'Malley ◽  
Lemont B. Kier ◽  
Chao-Kun Cheng
Keyword(s):  
Phase Transitions ◽  
Liquid Phase ◽  
Cellular Automata ◽  
Short Range ◽  
Environmental Sciences ◽  
Stochastic Cellular Automata ◽  
Cellular Automata Model ◽  
Vapor Interface ◽  
Atmospheric Profile ◽  
Vapor Liquid Equilibria

Phase transitions and phase equilibria are among the most fundamental phenomena in the physical and environmental sciences. In the present work an asynchronous stochastic cellular automata model for the equilibrium between a liquid and its vapor is presented. The model is visual, dynamic, and employs just two rules—an attraction probability and a gravitational preference. Application of the attraction rule alone yields a ‘mist’ within the vapor, whereas application of the gravitational rule by itself yields an isothermal atmospheric profile. Application of both rules together causes the vapor to evolve to a liquid phase with a vapor phase above it. Introduction of a third rule for short-range attraction/repulsion more clearly resolves the liquid/vapor interface.

scholarly journals Stochastic cellular automata model of neural networks

2010 ◽  
Vol 81 (6) ◽  
Author(s):  
A. V. Goltsev ◽  
F. V. de Abreu ◽  
S. N. Dorogovtsev ◽  
J. F. F. Mendes
Keyword(s):  
Neural Networks ◽  
Cellular Automata ◽  
Stochastic Cellular Automata ◽  
Cellular Automata Model
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