A Near Field System based on Modulated Scattering Technique for Microwave Tomography Application

Microwave tomography (MWT) is a relatively new imaging modality that uses electromagnetic radiation to illuminate an object. Using the scattered field by the object of interest, MWT reconstructs the image of the object. We have been doing research on this topic for a few years and we have successfully developed several computational-imaging algorithms and experimental tomography systems at our imaging lab of the University of Manitoba. In order to increase the accuracy of measurements and calibration procedure, we want to increase the number of probing sites in the system.

Power Flow Analysis for Smart Distribution system

Hydro One is changing Ontario’s power grid into a smarter grid. This change has many aspects, like the use of renewable energy, communication and electric vehicles. Private investors are encouraged to invest in renewable electricity production through Ontario Power Authority's Feed-In Tariff Program, which is a pricing structure for renewable electricity production. This program pays from 44.3 to 80.2 ¢/kWh for the electricity generated from solar Photovoltaic and from 13.5 to 19 ¢/kWh for electricity generated from wind energy.

Model-Based Detection of Emergent Behavior in Distributed Systems

The lack of central control in distributed systems makes the analysis and design of such systems a challenging task.  In fact many faults are introduced into the system at this stage of the software development life cycle.  Therefore discovering and removing design validation of distributed software systems prior to the implementation phase is greatly desirable as it results in huge savings in time and cost.  An effective and efficient approach to describing the requirements of distributed systems is by using scenarios.  Scenarios are commonly represented using message sequence charts or se

Accelerating Automated Synchronization of Multiple-Camera Videos on multicore platforms.

This project aims to explore the feasibility of and the tradeoffs involved with accelerating multi-camera synchronization algorithms on multicore processors. Specifically, this project plans to explore acceleration using ‘traditional’ multicore CPUs and massively-parallel Graphics Processing Units (GPUs). PluralEyes, a product for synchronizing audio and video recordings released by Singular Software, a Vancouver-area company, is the software application informing this research and stands to directly benefit from the insights gained. 

Phase II – A Software Platform for Generation of Mutually Correlated Multi-Dimensional Stochastic Time Series Vectors

The project is aimed to establish and algorithm and computer software for generation of multiple time series of data which represent processes that are closely correlated and auto-correlated (i.e. data in time step i are correlated to the data in time steps i-1, i-2,i-3, etc.). This project is of significant importance to the company.  It represents significant improvement of our earlier developments in this field.