Monitoring System for Predictive Energy Management and Maintenance of PV Systems

Existing techniques rely on conventional techniques, which are insufficient and do not ensure increased and optimal utilization of freely available PV energy. We propose predictive energy management and preventive maintenance through monitoring system for PV systems, taking futuristic PV potential and weather forecasts into account in association with the operational parameters of the PV system. […]

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The Academic Physician Retirement Project

This research project will investigate retirement planning among academic physicians within the Department of Medicine (DOM) at the University of Toronto. The overall objective of this project is to investigate the range of perspectives held by members of the DOM about retirement and to develop a later career transition assessment tool that will facilitate institutional […]

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Digital Pre-Distortion for Concurrent Multiband and Multiple Antenna Transmission

The proposed project aims at the design and implementation of low complexity digital pre-distortion (DPD) algorithms for concurrent multiband wireless transmitters. The power amplifier (PA) is one of the major sources of power dissipation in wireless base stations. The DPD techniques enable the PA to operate in higher power levels where it has its highest […]

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Anomaly Detection in SCADA Networks

SCADA (Supervisory Control and Data Acquisition) systems enable network-based monitoring and/or control of processes in various industrial sectors including electrical power distribution, energy, waste water and water. These systems serve as the backbone of much of Canada’s critical infrastructure. Security compromise of SCADA systems allows malicious attackers to gain control of the industrial processes in […]

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All Digital, Multi-Standard Highly Efficient Transmitter forMobile Communication Base Station Applications

A novel transmitter architecture which presents more power efficiency than that of the transmitters being used currently in mobile communication base stations is proposed in this research project. The result of this research fills the gap between the theoretical idea behind this transmitter structure and its practical usage in cellular network base stations. This transmitter […]

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Caffeine, genetic variation and athletic performance

Caffeine is among the most widely consumed performance enhancing substance used by athletes at all levels. However, studies that have investigated the effects of caffeine on athletic performance report inconsistent findings and the role of an individual’s genetic make-up in influencing how a person processes caffeine is becoming increasingly important. As a result, there is […]

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Active cancellation of Interior Noise

The project’s goal is to create a system for cancelling unwanted noise in an area by using arrays of speakers and microphones. This system will perform active noise cancellation, as seen in high-end headphones, but does not require those benefiting from the system to wear any hardware. This permits active noise cancellation to support applications […]

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Public Safety Analytics: The Saskatchewan Data Fusion Project

We will invent new ways of displaying and analyzing data collected by the Government of Saskatchewan. The Ministry of Justice wants to find cheaper ways of helping people make good choices. We will look in the data for connections among the things that people do and have done to them before they get in trouble. […]

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Transport phenomena inside and across membrane in polymer electrolyte membrane fuel cell

Polymer electrolyte membrane fuel cell (PEMFC) has emerged as an eminent technology to address today’s growing energy crisis and environmental issues. PEMFC technology faces multiple challenges before widespread commercialization. Water transport inside a PEMFC has a significant impact on the cell performance and durability. In this internship a numerical model is implemented to study the […]

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Social Privacy

Providing personalized content can be of great value to both users and vendors. However, effective personalization hinges on collecting large amounts of personal data about users. Give the exponential growth in online activities in social networking sites; they can be a great platform to gather and analyze such information. In spite of the considerable number […]

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