Abstract. Atmospheric inverse modeling describes the process of estimating greenhouse gas fluxes or air pollution emissions at Earth's surface using observations these gases collected in atmosphere. The launch new satellites, expansion observation networks, and a desire for more detailed maps have yielded numerous computational statistical challenges standard frameworks that were often original...

This paper presents the software package SYMORO+ for the automatic symbolic modelling of robots. This package permits to generate the direct geometric model, the inverse geometric model, the direct kinematic model, the inverse kinematic model, the dynamic model, and the inertial parameters identification models. The structure of the robots can be serial, tree structure or containing closed loop...

A new modeling language, called Modelica, for physical modeling is being developed in an international effort. The main objective is to make it easy to exchange models and model libraries for different domains, such as, mechanical, pneumatics, electrical, hydraulics, and others. The design approach builds on non-causal modeling with true ordinary differential and algebraic equations and the use...

This work describes a novel tool, called ICPT (inversion-based coverage prediction tool), for predicting coverage field strength in outdoor cellular network by means of the inversion method. Instead of using the highprecision geometric modeling of wireless environments, the problem of radio propagation prediction is solved by using an inversion of the measured data (under all priori constraints...