There are many problems in conceptual modelling process, such as difficulties in modelling conception sharing, expressing and simulating the processes via a visual method, and so on. To solve those problems, expression metadata of geographic conceptual scenario is established based on 3D Icons, a visual conceptual modelling approach is put forward to realize expression and construction of geogr...

We present a performance modelling case study of a distributed multi-player game expressed in the PEPA nets modelling language. The case study provides a modern complex distributed application programming problem which has many inherent communication and synchronisation complexities which are subtle to model accurately. We put forward the position that a high-level performance modelling languag...

The main goal of this research is to analyse the effect of angular velocity on stability and vibration of a simply supported Rayleigh rotating shaft. To this end, non-dimensional kinetic and potential energies are written while lateral vibration is considered. Finite element method is employed to discrete the formulations and Linear method is applied to analyse instability threshold of a rotati...

A new workflow has been developed for modelling reservoir successions that comprise fluvial meander-belt deposits, based on algorithms employ multi-point statistics (MPS). library of training images – from which MPS can borrow geological patterns meandering systems built. The incorporate sedimentary architectures relating to point-bar deposits accumulated by meander-bend expansion and translati...

This paper deals with the numerical solution of a class of reaction diffusion equations arises from ecological phenomena. When two species are introduced into unoccupied habitat, they can spread across the environment as two travelling waves with the wave of the faster reproducer moving ahead of the slower.The mathematical modelling of invasions of species in more complex settings that include ...

Over the last decade or so, artificial neural networks (ANNs) have become one of the most promising tools for modelling hydrological processes such as rainfall runoff processes. However, the employment of a single model does not seem to be an appropriate approach for modelling such a complex, nonlinear, and discontinuous process that varies in space and time. For this reason, this study aims at...