Developing a Data Science Tool for Open Government Datasets

In an effort to build public trust, the Government of Canada has made a commitment to move toward an Open Government, where government data will be easily accessible and shared broadly. For the public to benefit from Open Government sources, they will need tools that will allow them to analyze and interpret the data accurately. […]

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Machine Learning Based Classification of Atomization from a Rotating Bell Nozzle

Spray painting in the automotive manufacturing industry is a tough technical challenge. Due to a poor paint job, approximately 25% of cars coming off the assembly line must be reworked or scrapped. Previous research has shown that the droplet size distribution of the paint applied to the vehicle is important for the final coating finish […]

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Traceability Systems of the Next Generation: Towards Transparency, Agility and Sustainability in Quebec’s Seafood Supply Chain (SSC)

This project brings together university researchers, a Collegial Center for Technology Transfer – CCTT (Merinov), two young companies working in the sector of IT management tools (EOS Nation and reelyActive) and a Non-For-Profit Organization (Cercle-i) in order to address important research and development challenges facing the Seafood Supply Chain of the Gaspésie and Magdalen Islands […]

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Two-Step super-resolution method to enhance orbital imagery of celestial bodies using ground truth from rovers and drones.

Exploration of other planetary bodies poses multiple challenges. Notably, how can we obtain the most information about a planet or a moon while avoiding risky and costly crewed or robotic missions to the surface? Satellite imagery can partly solve this problematic by providing a relatively cheap alternative to cover massive areas of a planet. Sounds […]

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Methane Assisted Catalytic Upgrading of Extra Heavy Crudes under Moderate Conditions

Vacuum residue (VR) is the heaviest part of crude oil accounting for a large proportion in modern refineries, while its utilization routes are generally of low efficiency and high energy intensity, and thus economically and environmentally unfavorable. Similarly, bitumen recovered from Steam-assisted gravity drainage (SAGD) process experiences high viscosity and density as well as high […]

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A Data-Driven Modeling Approach for Estimating Methane Emission Sources from Satellite, Environmental, and Oil/Gas Well Data

There has been an increased commitment to capping GHG emissions from oil/gas (O/G) operations. However, reliable monitoring and quantification of methane emissions from particular sources are difficult for several reasons: (1) high-resolution sampling data over an extensive geographical area is rare; (2) identifying emission sources from large-scale monitoring satellite data is extremely challenging, often yielding […]

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Upcycling of Winemaking Waste By-Products into Sustainable Cosmetic Product Formulas

Cheekbone Beauty Inc. is an Indigenous Canadian-owned beauty company with a mission to transform the lives of all its consumers through sustainable products and business innovation. The proposed project involves repurposing wine-making waste (grape pomace) from local Niagara Region wineries into high-value added ingredients with anti-aging, anti-pollution, and sun protection properties, for cosmetic applications. This […]

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Outils numériques pour l’étude des avions à propulsion hybride-électrique

La propulsion hybride-électrique a le potentiel de réduire la consommation en carburant des aéronefs et constitue une alternative plus réaliste par rapport à l’option tout électrique. Avec l’utilisation de sources d’énergies différentes, le processus de dimensionnement est complexifié et couplé à l’opération de l’aéronef. Cela nécessite alors une approche d’exploration par analyse de mission et […]

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Influence of slag characteristics on dephosphorization and refractory wear in steel electric arc furnace

The Canadian steel industry experiences fierce global competition. It is also under an increasing pressure to decrease its environmental foot-print. Continuous process optimization is, therefore, necessary for a sustainable operation. To produce high quality steel and concurrently reduce costs, trial and error cannot be effective. This proposal aims to advance the knowledge of electric arc […]

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