Social Matching for Health Researchers

The Élisabeth Bruyère Research Institute is interested in addressing an organizational challenge associated with its size and the geographical location of its partners, which form a research community that is spread over multiple sites located in distant parts of the city. The large number of researchers and physical disconnection of the buildings limit social interaction […]

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Process Improvement for Plasma Transfer Arc Additive Manufacturing

Metal additive manufacturing (MAM) is newly developed manufacturing technology that is faster and more cost-effective compared to traditional methods. Although there are various types for AM, the product quality improvement in plasma transfer arc (PTA) and wire-feed AM processes will be the subject of this project. To achieve this goal, the intern will determine the […]

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Human kinematic optimal control learning and wearable inertial measurement unit alignment for rehabilitation

Physiotherapy is a type of rehabilitation that aims to restore a patient’s quality of life after an injury, surgery, or stroke by improving their mobility. Through prescribed exercises and specialized equipment, physiotherapy helps the patient to regain their muscle strength, range of motion, and natural movement. Unfortunately, only rudimentary tools are available to the therapists […]

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Développement d’une méthode de mesure de l’exposition sonore effective intra-auriculaire pour une utilisation en milieu de travail

Malgré de nombreux efforts de réduction à la source, l’exposition à des bruits de forts niveaux en milieu de travail demeure un problème majeur au Québec et à travers le Monde. La mesure de l’exposition sonore est donc primordiale afin de déterminer et évaluer des solutions correctives à apporter pour bien protéger les travailleurs. Pour […]

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Detection, characterization and analysis of unsafe video content on YouTube

A safe video platform can provide a healthy and suitable environment for users in general and children in particular. This project aims to utilize machine learning and deep learning techniques to identify and flag sensitive and questionable content (e.g., content related to violence, sexuality, etc.). The algorithm will leverage video frames extracted from the database […]

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BC Pulp and Paper Bioproducts Alliance: Development and demonstration of forest residues to renewable natural gas technologies

This proposed project will support our ongoing efforts in scanning and screening existing technologies and de-bottlenecking key technology barriers in converting low-cost biomass residues to renewable natural gas in British Columbia pulp, paper and lumber mills. Specifically, we will focus on developing a bauxite residue (f.k.a., red mud) based catalyst for the removal of tar […]

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Development of computationally efficient models for modular multilevel converters with integrated battery energy storage systems

The research project aims to develop new computer models for accurate representation of battery energy storage systems that are used in modern power systems. In particular state-of-the-art modular multi-level converters with integrated dc-dc converters will be considered. The models to be developed will provide high levels of accuracy and feature low computational intensity so that […]

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Development of a Reliability-Centered Maintenance Battery Program

Battery energy storage systems are used in electric utilities for a variety of applications including back up power for critical equipment. Manitoba Hydro is evaluating two battery chemistries for use in its substations, namely Li-ion and sodium-nickel chemistries. Along with assessment of technical merits of each battery type to determine which chemistry best suits the […]

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