BACKGROUND There is evidence of a clustering of healthy dietary patterns and physical activity among young people and also of unhealthy behaviours. The identification of influences on children's health behaviors, particularly clustered health behaviors, at the time at which they develop is imperative for the design of interventions. This study examines associations between parental modelling an...

The field of physical modelling and simulation plays a vital role in advancing numerous scientific and engineering disciplines. To cope with the increasing size and complexity of physical models, a number of modelling and simulation languages have been developed. These languages can be divided into two broad categories: causal and noncausal. Causal languages express a system model in terms of d...

The modelling and simulation of sophisticated technical systems is a demanding task. On the one hand, the physical part consists of a large number of subsystems which exhibit predominantly continuous dynamics, sometimes with (infrequent) discontinuities. On the other hand, the distributed computerised control systems constitute complex discretetime and discrete-event systems that require comple...

In computer science, metamodelling approach becomes more and more popular for the purpose of software systems development. In this paper, we discuss applicability of the metamodelling approach for development of software tools for physical modelling and simulation.To define a metamodel for physical modelling the analysis of physical models will be done. The result of such the analyses will show...

This paper introduces a novel data-driven methodology named Evolutionary Polynomial Regression (EPR), which permits the multi-purpose modelling of physical phenomena, through the simultaneous solution of a number of models. Multipurpose modelling or “multi-modelling”, enables the user to make a more robust choice of those models aimed at (a) the knowledge based on data modelling, (b) on-line an...

A novel grey-box modelling methodology combining advantages of both black and clear-boxes is presented in this paper. The technique explicitly uses physical prior knowledge that enables the underlying plant dynamics and the accompanying partially-known physical parameters to be identified. Through genetic evolution and Boltzmann learning, it enables global and dominant dynamic modelling with lo...

Analysis of requirements of physical realism and computational performance for mathematical models, used in liquid cargo handling simulators is presented. Depth of physical modelling, necessary to satisfy the requirements, is considered. Approaches to composition of mathematical models are outlined. Component-based approach with “RanD Model Designer” visual modelling software is described. Comp...

This paper presents a new physical modelling approach for wireless systems with multiple antennas. The fundamental problem of modelling the communications channel if we are given an arbitrary spatial volume for transmitting, an arbitrary spatial volume for receiving, and a set of scattering bodies is studied. We show how to calculate the number of communication modes, both for direct (point-to-...

SimMechanics can be used for modelling of mechanical systems of any degree of freedom in MATLAB/Simulink environment. Mechanical systems have physical properties that use physical modelling blocks in SimMechanics that relates to geometric and kinematic. By using this toolbox, it saves the time and effort to derive the equations of motion. SimMechanics provides a visualization and animation of m...