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The LTCodeSimulator (LTCodeS) implements the fountains code LT Code. This kind of codification was developed to obtain a simple algorithm based on the exclusive or operation to encode and decode the message.
The main purpose of this project is to develop the control software of the digital three phase soft-starter which allows the user to start and stop the motor in an effective way.
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OlsenRoutes is a software environment with a powerful difference. It provides online users with a library of statistical tools and access to Olsen's database (1985 through today) of tick-by-tick foreign exchange trading prices.
A basic simulation of aircraft emergency evacuation developed in CELL-DEVS using the CD++ Toolkit. A python script was then adapted to visualize this project in Blender. Code on SVN only at this time.
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A Discrete EVents Simulation (DEVS) of a Precision Approach Radar (PAR) developed as an assignment for the SYSC5105 course at the Carleton University. It was developed as DEVS formalism and implemented using the CD++ toolkit plugin to Eclipse. Code on SV
Framework for modelling of Natural General Intelligence. This project aims at creation of open source AGI (Artificial General Intelligence) through modelling of natural thinking. See http://roland.pri.ee/bakalaureusetoo/ for theoretical details.
Python-based GUI for discrete-event system modeling and simulation
DEVSimPy is an advanced wxPython GUI for the modeling and simulation of systems based on the DEVS (Discrete EVent system Specification) formalism. Features include powerful built-in editor, advanced modeling approach, powerful discrete event simulation algorithm, import/export DEVS components library and more.
The aXBench (AUTOSAR extensible workbench) is a free eclipse plugin for modeling variant system architectures.
This project collects modeling examples for the aXBench without having ti deal with the source code of the aXBench.
It's a Cat and Dog game,we develop the Inner AI strategy for the Dog and we also code the strategy of the cat in order to simulate the user. Furthermore we use Artificial Neural Network to build the experiment
Built with R, this code allows the user to simulate the game of basketball. While the main focus is on simulating the NBA, the code provides a framework for simulating other leagues by modifying the default set of rules.
PyAero is a toolkit developped at andheo for CFD software :
post-processing, curve generation, …
Currently PyAero focuses on ONERA's code "Cedre".
PyAero is powered by Qt, Python, PySide, enthought and pyLot.
The "RISC-0" project is a collection of Python libraries and programs to support the RISC architecture described by Prof. Niklaus Wirth on his web page (http://www.inf.ethz.ch/personal/wirth/Articles/FPGA-relatedWork/index.html)