Urban expansion is considered as one of the most important problems in several developing countries. Bangkok Metropolitan Region (BMR) is the urbanized and agglomerated area of Bangkok Metropolis (BM) and its vicinity, which confronts the expansion problem from the center of the city. Landsat images of 1988, 1993, 1998, 2003, 2008, and 2011 were used to detect the land use and land cover (LULC)...

introduction flood is an inevitable natural phenomenon occurring from time to time in all rivers and natural drainage systems, which not only damages the lives, natural resources and environment, but also causes the loss of economy and health. so estimation and prediction flood hazard is very important spatially in the watersheds without measurement station. there are many models in the water a...

This study aims to investigate the tsunami exposure current land use cover (LULC) with LULC predictions for next 50 years, including impact of sea-level rise (SLR) in Banda Aceh. began a spatio-temporal dynamic analysis using changes projection. Firstly, Markov Chain was used simulate changing trends from 2011 2015. The were 2015-2065 Cellular Automata (CA). There six main types classifications...

The research study utilizes Multi Criteria Evaluation (MCE) method in geographic information systems (GIS) environment and uses MCE suitability maps with Cellular Automata (CA) for predicting simulating sustainable urban development scenarios Famagusta City. It represents first scenario-based simulations of the future growth as “do-nothing” “sustainable”. Under do-nothing scenario, Markov Chain...

We analyze a Markov cellular automaton that models the spread of viruses that often progress to a chronic condition, such as human immunodeficiency virus (HIV) or hepatitis C virus (HCV). We show that the complex dynamical system produces a Markov process at the later stages, whose eigenvectors corresponding to the eigenvalue 1 have physical significance for the longterm prognosis of the virus....

The one-parameter two-dimensional cellular automaton with the Margolus neighbourhood is analyzed based on considering projection of stochastic movements a single particle. Introducing auxiliary random variable associated direction movement, we reduce problem under consideration to study Markov chain. master equation for probability distribution derived and solved exactly using generating functi...

Markov automata are a powerful formalism for modelling systems which exhibit nondeterminism, probabilistic choices and continuous stochastic timing. We consider the computation of long-run average rewards, the most classical problem in continuous-time Markov model analysis. We propose an algorithm based on value iteration. It improves the state of the art by orders of magnitude. The contributio...

Let G be a group and let A finite-dimensional vector space over an arbitrary field K. We study finiteness properties of linear subshifts Σ⊂AG the dynamical behavior cellular automata τ:Σ→Σ. say that is K-linear Markov type if, for every K, all are finite type. show if only algebra K[G] one-sided Noetherian. prove automaton τ nilpotent its limit set, i.e., intersection images iterates, reduces t...