Developing a watershed approach to manage anthropogenic and environmental stressors in an eastern Lake Ontario watershed

Water quality in the watersheds of the Great Lakes are under ever-increasing pressures from population growth, urban expansion, economic development, nutrient enrichment, and climate change. We aim to develop a statistical model to understand the relative influence of anthropogenic stressors on water quality for the central Lake Ontario watershed surrounding the cities of Oshawa, Whitby, […]

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Assessing Sport Performance Using Mobile EEG

Perhaps one of the most tantalizing goals of a coach or trainer is to determine how best to maximize athlete performance. In recent years there has been an explosion in the wealth of data related to athlete training and performance – such as a better understanding of athlete mental health and the impact it has […]

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Deep learning-based illuminant estimation for mobile devices

Humans possess the ability to see objects as having the same color even when viewed under different illuminations. Cameras inherently lack this capability. A process called auto white balance (AWB) has to be applied by the camera to mimic this behavior of the human visual system. AWB is one of the first steps in a […]

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The politics of clinical trials in a pandemic: The role of the blood service indeveloping a treatment for COVID-19

In response to the COVID-19 pandemic, hundreds of clinical trials are currently ongoing to evaluate the effectiveness of convalescent plasma derived from individuals who have recovered from COVID-19. As a licensed plasma collector for transfusible plasma and the National blood operator (outside Quebec), Canadian Blood Services has consequently taken on a unique role in several […]

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Standardization and optimization of saliva sample processing for SARS-CoV-2 detection without nucleic acid purification

The SARS-CoV-2 outbreak, which started in Dec. 2019, has so far not been contained due to unpreparedness and unsuccessful development of antiviral drugs against SARS-CoV-2. In response to this pandemic, we propose development of a diagnostic assay based on saliva samples. We will also standardize virus collection procedure and inactivation steps to reduce the turnaround […]

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Simulating dynamics of flux qubits with charge and hybrid flux noise

D-Wave Systems has designed processors based on a scalable architecture that aim to implement quantum annealing, an algorithm that can be used to solve a wide variety of optimization problems. A minimal requirement for a device to perform quantum annealing is that it maintains coherence throughout an appreciable fraction of the annealing protocol. In reality, […]

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Computational Fluid Dynamics Optimization of Very High Lift Coe?cient Airfoil

The proposed research project’s objective is to perform analysis on airfoil dimensions and configurations for a crosswind power kite system for wind energy generation. The airfoil will be examined through computational methods to determine how well the airfoil will perform. The airfoil configurations will then be optimized to find better designs for airborne wind energy […]

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Anomaly detection using AI/ML for Network Correction

Anomaly detection or outlier detection is a technique to identify rare items, observations or events which are differing significantly from most of the data or do not conform to the expected behavior of the system. Typically, anomalous data cause numerous problems in the computer networking and communication system. This project aims to develop an advanced […]

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Prioritization and Optimization of the Sewer Flushing Program for Municipal Wastewater Collection Systems

The objective of the study is to develop an algorithm to streamline and automate the decision making process for implementing the municipal wastewater collection flushing program. Traditionally, a municipal flushing program, or pipe cleaning, is based on a time-cycle approach. This means that all sewer pipes in the network are treated the same, ignoring variables, […]

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Modelling and Assessment of Cloud Based Smart Dual Fuel Switching System (SDFSS) of Residential Hybrid HVAC System for Simultaneous Reduction of Energy Cost and Greenhouse Gas Emission Under Smart Grid

The objective of this research is to develop models to assess potential benefits of cloud-based Smart Dual Fuel Switching System (SDFSS) of the residential hybrid HVAC system of electric air source heat pump (ASHP) and natural gas furnace/boiler (NGFB) for simultaneous reduction of energy cost and greenhouse gas (GHG) emission. It will entail detailed modelling, […]

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