Search Results for "system 32"

SimThyr is a continuous simulation program for the human pituitary-thyroid feedback control system. Applications of this program cover research, including development of hypotheses, and education of students in biology and medicine, nurses and patients.

GatcomSUMO is a multi-platform application that facilitates the building of VANET simulations using the SUMO traffic simulator and the OMNeT++ network simulator. The tasks related to the generation of abstract or synthetic scenarios, the download and conversion of network scenarios based on real maps (e.g. from OpenStreetMap), the route creation process, and the vehicles mobility modelling are integrated in a user-friendly graphical interface. This tool performs the necessary actions by...

MGSyn (Model, Game, Synthesis) is an open-source tool which integrates game-based synthesis into model-driven development for industrial control and automation. It is served for research and educational purposes. MGSyn has been originally developed by Department of Informatics (Unit 6), TU München and fortiss GmbH and is now maintained by fortiss GmbH. The software is released under the GNU General Public License Version 3.0 (GPLv3). Please download the tutorial for step-by-step...

MatODE is a simple Matlab toolbox for interfacing to the Open Dynamics Engine rigid body physics simulator (ODE, by Russell Smith), created by the Delft Biorobotics Lab (Delft University of Technology, Delft, The Netherlands). The system to be simulated is defined in an XML file, while the joint positions and motor signals can be sensed and actuated from a Matlab script. Examples are provided. Starting at version 0.30, MatODE is only available for Windows and Linux 64-bit. For older 32-bit versions, select "Browse all files".

CUDA-SPHERE-FWD-MEEG is a CUDA C based toolkit which provides a GPU based implementation of the spherical model forward solution for the 306 channel Elekta Neuromag MEG system and the EEG. The 1-Sphere forward solution for the MEG and the 4-Sphere forward solution for the EEG is implemented in CUDA C and an accelerated solution is obtained using the NVIDIA GPU when the solution is calculated for a large number of dipoles (on the order of 15000 and above) and sensor locations. Speedup by a factor of 22 and 32 is obtained for the EEG and MEG solution respectively when compared to the fastest CPU implementation available in the public domain. ...