Development of Hydrogen based Integrated hybrid energy systems through Power-to-gas concept for Industrial facilities

Under Ontario’s regulations, facilities generating thousands of tonnes of greenhouse gas (GHG) emissions per year must report their emissions, and industries are motivated to reduce GHGs through ‘Cap-and-Trade’ regulations. Based on the Power-to-gas concept, this research will develop a techno-economic-environmental model for hydrogen-based energy systems that include electricity from the utility grid and distributed renewable […]

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LAFORCE: Log Analytics For Operational Intelligence

The goal of this project is to explore the use of log analytics and machine/deep learning techniques to improve Ubisoft operational intelligence. Logs contain a wealth of information, but often hindered by the lack of best practices, tools, and processes. Despite the importance of logging, the area has not evolved much over the years. At […]

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The Effects of Mild Bilateral Jugular Vein Compression on Cerebrovascular Physiology

This project will investigate the effects of using the Q collar to apply gentle pressure to the jugular veins of the neck to monitor changes in brain (cerebrovascular) physiology during exercise and postural changes. Specifically we will investigate changes in brain blood flow velocity, relative changes in blood volume and oxygen levels, and changes in […]

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Optimized Non-invasive Cuff-less Continuous Blood Pressure Measurement Technique Using Artificial Neural Network

Continuous blood pressure (BP) monitoring is highly of assistance for detection of the major public health issue which is cardiovascular problems. Nowadays the BP monitoring technique which are commonly used are mostly using an uncomfortable cuff that makes continuous monitoring impossible since it slows the blood flow. However, measuring continues blood pressures are necessarily and […]

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The effect of increased levels of converter based power generation on the voltage stability of a power system

As a result of the advancement of renewable energy and power electronic (PE) converter technologies, renewable energy sources are increasingly interfaced to the grid through PE based interconnections such as Voltage Sourced Converters (VSC) and Modular Multi-level Converters (MMC). It is essential to model and predict the behavior and effects of these components in the […]

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Understanding the Impact of Legal Cannabis Access on Health: A Large, Prospective Cohort Study of Canadians Obtaining Medical Cannabis Authorization

Although legal access to medical cannabis has been available in Canada for many years, our society has yet to fully understand the important health implications surrounding the use of medical cannabis or recreational users. However, the current availability of medical cannabis in Canada means that researchers have access to a large number of individuals who […]

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Optimization of Bull Semen Cryopreservation through Iterative and Rational Media Design

Cryopreserved (frozen) semen provides optimal genetics to cattle and especially dairy farmers, facilitating improved breeding programs. The sperm cryopreservation process significantly reduces fertility compared to fresh sperm. Each percent of reduced fertility amounts to a significant financial loss to farmers. Thus there is great pressure on semen providers to improve post thaw fertility, as it […]

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Scale-up of a Green Plasticizer

Plasticizers are used to increase the flexibility and workability of relatively rigid polymers such as poly(vinyl chloride) (PVC). For decades, di-2-ethylhexyl phthalate (DEHP and sometimes termed as dioctyl phthalate (DOP)) was the most common plasticizer used in PVC formulations. However, DEHP has been shown to have negative health effects, such as being an endocrine disruptor. […]

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Machine Learning for the Telecommunication Industry – Year two

Ericsson is an industry leader in offering telecommunication solutions and products. As an important step on the path towards the automatic and autonomous management of next generation networks, Ericsson is developing technology in machine learning and artificial intelligence that will benefit operators around the world, including in Canada where Ericsson supplies technology to most of […]

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Nanoscale toolset for formatting and visualizing single molecules: validating applications and miniaturized flow cells

The “CLiC” microscopy technique was invented and developed by Prof. Sabrina Leslie and her lab at McGill. It is ideal for formatting and visualizing single molecules, like DNA and proteins, with advantages that overcome the limitations of other single-molecule techniques. Due to the increasing interest in the technique from academic and industrial researchers, Prof. Leslie […]

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