We study the behaviour of large dust grains in turbulent molecular clouds (MCs). In primarily neutral regions, dust grains move as aerodynamic particles, not necessarily with the gas. We therefore directly simulate, for the first time, the behaviour of aerodynamic grains in highly supersonic, magnetohydrodynamic turbulence typical of MCs. We show that, under these conditions, grains with sizes ...

This chapter addresses two issues. The first concerns the integration of dynamic and spatial modelling: there are numerous tools available for doing one or the other, but very little for supporting both. The second concerns the flexibility of available tools for representing space: most spatial modelling systems and GIS tend to constrain the user to a limited number of spatial representation fr...

in despite of all progress in technology in mining industry, still labor is one of the key factors in mining operation. this paper presents a system dynamics approach to evaluate the mining labor productivity. therefore, after the identification of main effective variables, two quantitative and qualitative models were built. the qualitative model illustrates the complex interrelated structure o...

the main objective of this article is to optimize the walking pattern of a 2d humanoid robot with heel-off and toe-off motions in order to minimize the energy consumption and maximize the stability margin. to this end, at first, a gait planning method is introduced based on the ankle and hip joint position trajectories. then, using these trajectories and the inverse kinematics, the position tra...

The present paper describes dynamic modelling, results of simulation and experimental investigation of a hydraulic stepper cylinder, which find application in manipulators and robots. The method of bond graph is used for modelling of the dynamics of the considered cylinder design. First, an initial digital simulation is performed in order to calculate basic dynamic characteristics of the cylind...

As tools for dynamic system modelling both conventional methods such as transfer function or state space representation and modern power flow based methods are available. The latter methods do not depend on energy domain, are able to preserve physical system structures, visualize power conversion or coupling or split, identify power losses or storage, run on conventional software and emphasize ...

Laboratory measurements on dynamic thermal performance of a thermal bridge at the Division of Building Technology, Kungliga Tekniska Högskolan in Stockholm, are presented in this paper. In order to analyse the measured results, dynamic multi-dimensional modelling that can describe the dynamic behaviour of thermal bridges in a simple and accurate way is required. A network method with a Π-link r...

The aim of this paper is to give a general and unifying presentation of the dynamic modelling and identification issues of a car. The modelling is based on the modified Denavit-Hartenberg geometric description, which is commonly used in robotics. The kinematics and dynamic models are automatically calculated using the software package SYMORO+. The dynamic model is used to simulate the behaviour...

Dynamic spatial analysis addresses computational aspects of space-time processing. This paper describes the development of a spatial analysis tool and modelling framework that together offer a solution for simulating landscape processes. A better approach to integrating landscape spatial analysis with Geographical Information Systems (GIS) is advocated in this paper. Enhancements include specia...

Bayesian Forecasting encompasses statistical theory and methods in time series analysis and time series forecasting, particularly approaches using dynamic and state space models, though the underlying concepts and theoretical foundation relate to probability modelling and inference more generally. This entry focuses speciically in the time series and dynamic modelling domain, with mention of re...