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https://viurrspace.ca/bitstream/handle/10613/15759/Jul29-1915.pdf?sequence=2&isAllowed=y

https://viurrspace.ca/bitstream/handle/10613/11898/Apr03-1922.pdf?sequence=2&isAllowed=y

https://viurrspace.ca/bitstream/handle/10613/18950/Dec13-1876.pdf?sequence=2

This paper presents an analysis and recommendations for maximizing the earning potential of CBC widgets. Theoretical concepts, such as the Customer Value Model, Roger's Model of Adoption and viral marketing are used to identify ways to grow widget adoption and encourage viral distribution as a means to increase impressions available for sale to advertisers. The paper explores trends in Internet usage and advertising, with a focus on defining best practices that can be applied broadly to all widgets.

https://viurrspace.ca/bitstream/handle/10613/13279/Feb20-1905.pdf?sequence=2

Scaling technology enables even higher degree of integration for FPGAs, but also brings new challenges that need to be addressed from both the architecture and the design tools side. Optimization of FPGA interconnection network is essential, given that interconnects dominate logic. Two approaches are presented, with one based on the time-multiplexing of wires and the other using hierarchical interconnects of high-speed serial links and switches. Design tools for both approaches are discussed. Preliminary experiments and prototypes are presented, and show positive results.

https://viurrspace.ca/bitstream/handle/10613/17450/Feb23-1899.pdf?sequence=2

The power system networks in North America and Europe are the largest man-made interconnected systems in the world. Many power system applications rely on time consuming dynamic simulations of large-scale power systems in order to optimize the operation and ensure the reliability of the electricity network. Dynamic simulations of power systems involve the solution of a series of initial value, stiff, hybrid DAE systems over a time window. To achieve this, the time window is discretized and a new DAE system is formed and solved at each time step, with initial values taken from the previous time step solution. At each new time step, the DAE system to be solved can be different because of the discrete variables involved in the formulation (e.g. a differential equation can become algebraic and vice versa). A non-overlapping domain decomposition is proposed to speed up the solution of the DAE system using the Schur Complement Method. The special structure of the physical system helps define the domain partitioning scheme and eliminates the need for a partitioning algorithm. It allows the formulation and solution of the reduced system using sparse, direct solvers to obtain the interface variables. Afterward, the parallel evaluation of the internal subdomain variables is possible and efficient load balancing is achieved. Numerically, the method shows no convergence degradation when compared to the integrated method, which is traditionally used for solving power system DAEs. The aspects of decomposition, solution and optimization of the algorithm for the specific problem are discussed and results from the application of the DDM on realistic power system models are presented.

https://viurrspace.ca/bitstream/handle/10613/18174/Apr29-1898.pdf?sequence=2