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This paper outlines the design and implementation of Phase Two of the Command and Data Handling (CDH) unit for the WinCube project. WinCube is a multi-year, multi-disciplinary project conducted at the University of Manitoba in which students from different departments participate in the design of a CubeSat. The purpose of the WinCube project is to provide(More)
This paper examines the inherited persistent behavior of particle swarm optimization and its implications to cognitive machines. The performance of the algorithm is studied through an average particle's trajectory through the parameter space of the Sphere and Rastrigin function. The trajectories are decomposed into position and velocity along each dimension(More)
This paper presents a study of the properties of optimization algorithms for use in cognitive machines through five key measures: (i) speed of convergence, (ii) degree of exploration of the parameter space, (iii) storage and system size, (iv) adaptability, and (v) multi-scale capabilities. Based on these factors, a novel study of the trajectories of a(More)
It is very challenging to design complex machines and systems that operate in very difficult remote locations, under largely unknown or uncertain conditions. Specifications for such systems must be extremely detailed and extensive, with input from professionals who have designed such systems before, and who gained considerable experience from their(More)
The design of attitude determination and control of nanosatellites requires innovative solutions that are low-cost, small in size, and minimized power consumption. The University of Manitoba T-Sat1 project has created a simple complement of sensors and actuators that can provide stable determination and orientation. The linear region of photodiode readings(More)
Designing complex machines and systems that operate in very difficult remote locations, with largely unknown conditions, is very challenging. Specifications for such systems must be extremely detailed and extensive, with input from professionals who have designed such systems before, and who gained considerable experience from their operations. Since much(More)
This paper examines particles in Particle Swarm Optimization (PSO) in terms of situated agents to improve control of the long term behaviour of particles as required for cognitive machines. In PSO, the particles lack goals and temporal knowledge for personal/global best solutions, thus many of the decisions for advancing the position of the particle diverge(More)
The need to train satellite ground station operators is of critical importance for the success of a space mission. An operator is responsible for monitoring the health of a spacecraft and recording of payload data. This paper proposes an architecture that uses an existing ground station for training purposes in the form of emulation. Telemetry is simulated(More)