World population is raising, especially the part of people living in cities. With increased population and complex roles regarding their inhabitants and their surroundings, cities concentrate difficulties for design, planning and analysis. These tasks require a way to reconstruct/model a city. Traditionally, much attention has been given to buildings reconstruction, yet an essential part of cit...

1. Abstract We model an electrified droplet spreading a solid surface. The model consists to seek a drop shape minimizing its total energy (capillary, electrostatic and gravitational). We derive the equations and the shape gradient; we detail the shape optimization algorithm and present some numerical results. Our numerical results fit the predictions of Lippman’s equation (plane capacitor appr...

Inverse modelling for mercury over Europe Y. Roustan and M. Bocquet Centre d’Enseignement et de Recherche en Environnement Atmosphérique, Joint laboratory École Nationale des Ponts et Chaussées/EDF R&D, avenue Blaise Pascal, 77 455 Champs sur Marne, France Received: 12 October 2005 – Accepted: 21 November 2005 – Published: 30 January 2006 Correspondence to: Y. Roustan ([email protected]) © ...

Even in physically based distributed hydrological models, various remaining parameters must be estimated for each sub-catchment. This can involve tremendous effort, especially when the number of sub-catchments is large and the applied hydrological model is computationally expensive. Automatic parameter estimation tools can significantly facilitate the calibration process. Hence, we combined the...

The state of a non-relativistic gravitational dynamical system is known at any time t if the dynamical rule, i.e. Newton’s equations of motion, can be solved; this requires specification of the gravitational potential. The evolution of a bunch of phase space coordinates w is deterministic, though generally non-linear. We discuss the novel Bayesian non-parametric algorithm CHASSIS that gives pha...

Mass balance inverse modelling of methane in the 1990s using a Chemistry Transport Model T. M. Butler , I. Simmonds, and P. J. Rayner School of Earth Sciences, Melbourne University, Australia CSIRO Atmospheric Research, Melbourne, Australia Present affiliation: Max Planck Institute for Chemistry, Mainz, Germany Received: 7 April 2004 – Accepted: 24 May 2004 – Published: 22 June 2004 Corresponde...

A terminology and typology of uncertainty is presented together with a framework for the modelling process, its interaction with the broader water management process and the role of uncertainty at different stages in the modelling processes. Brief reviews have been made of 14 different (partly complementary) methods commonly used in uncertainty assessment and characterisation: data uncertainty ...

Besides the actual state of the condition, the performance of an athlete is highly influenced by the way of executing the movement. So this factor is said to be more and more important. In order to find out and use these potentials, sport science profits from the power of computers for example with modelling and simulating special movements. This article describes the basic functions of a model...

The accurate and quick modelling of inverse lens distortion to rectify images or predict the image coordinates of real world objects has long been a challenge. This work investigates the use of artificial neural networks to perform this modelling. Several architectures are investigated and multiple methods of training the networks are used to achieve the best results. The error is expressed as ...