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GAZES - Genetic Algorithm Zombie Eradication Simulation Grid-based simulator for zombie scenario. The units will use genetic algorithm to determine their actions on a cycle by cycle basis. This is a school project, so is likely on hiatus for summer.
Creating an automated 3D enviroment for the transport of containers. This will be done by using a server-client method. The project goal is to create a fast algorithm.
This project is an implementation of a BML realizer using ROS. The algorithm uses an event-driven architecture, based on Petri nets, to ensure synchronization constraints for robots.
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· A free chat server coded in java.
· Supports secure connections via the Diffie-Hellman-Algorithm.
· One java chat client available.
· Other clients in production.
Java Chaotic Random Number Generator - Inspired by chaos theory, the intent of this generator is to produce unseeded, unpredictable numbers. The numbers will not follow a predictable sequence and will not rely on a pseudorandom algorithm.
Yet another MAZE!
There is going to be maze generation algorithm(s) and pathfinders who use certain algorithms to solve the maze.
This project was initially a student team project at Thompson Rivers University(TRU) to demonstrate search algorithms.
Its a software which can be used to simulate and emulate the mobility management in the wireless network, this implements the mobility management algorithm,
it uses the Blue tooth as a communication media between a wireless terminal and
A project originally for an undergraduate Freshman seminar on motion planning algorithms. Provides a basic interface for drawing obstacles in a 2-D plane and the ability to select an algorithm by which to plan a path in this user-defined world.
Java/GWT based Web Application dubbed InSitu. In essence, a user Interface for interaction with Collaborative Staging algorithm. Distributed as standalone web-app and can be integrated into any web based application or used independently.
A repository of grid computing student exercises. The repository currently contains a grid-enabled mergesort using Condor. Exercises to be developed include genome analysis, genetic algorithm, integration, matrix multiply, ray tracing, etc.