Mass Timber Floor Vibration Design Guide and Validation

Mass timber floors are increasingly becoming an attractive option for floor system when compared to concrete or steel floors. This is particularly significant for multi-story buildings, where floor framing represents a large amount of the buildings cost and material use. Currently, these flooring systems are largely made out of concrete or steel, so there is […]

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Développement d’un banc d’essai universel pour la production en laboratoire de copeaux spécialisés et la détermination des paramètres de coupes

L’industrie du sciage génère des volumes importants de copeaux dont la majeure partie est utilisée par l’industrie des pâtes et papiers, un secteur qui vit une décroissance structurale en raison de l’essor des technologies numériques. C’est dans ce contexte que le SEREX, FP Innovations et l’UQAR collaborent avec le milieu industriel pour identifier de nouvelles […]

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Obtention et caractérisation de mélanges de polymères dans le cadre de la valorisation du polyéthylène recyclé

Dans un contexte où la protection de l’environnement et l’économie des ressources deviennent de plus en plus importantes, Soléno en partenariat avec l’ETS de Montréal développe une voie de recyclage innovante pour les déchet plastiques non recyclables par les méthodes conventionnelles. Ce projet est un travail préparatoire à l’industrialisation de cette méthode et permettra de […]

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Physically-Informed Vinyl Record Model for Real-Time Guitar Effect Processing

In the world of music, the warm, lo-fi response of vintage, analog electronic equipment is generally considered to deliver better sound than modern equipment. This is aptly demonstrated by guitar players who prefer vintage effect pedals, and music enthusiasts that prefer to enjoy music on vinyl records – despite the rising cost, difficult maintenance, and […]

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Development of high-dimensional robust split regression models to measure data quality for improved use of sensors and diagnostics in a heavy industrial setting

We propose the development of novel statistical methods to improve upon detection of normal and abnormal behaviours in industrial sensors. The ability to detect subtle changes in sensor performance in a wide range of operational conditions has significant potential for MineSense Technologies Ltd., which operates sensors in challenging conditions. It can be very difficult to […]

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Automatic construction layout marking using ground and aerial vehicles

The proposed research aims to map and locate pollutant sources by deploying a team of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) after a natural or human induced disaster in order to sense, assess and aid in search-and-rescue operations. We aim to use a heterogeneous team, armed with an array of gaseous and […]

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Measurement-based Distribution System Models for Distributed Energy Resources Control

The integration of significant capacities of distributed energy resources (DERs) such as renewable wind and solar generation for a more sustainable energy future creates several challenges to the reliable and efficient operation of power distribution systems. These include: (i) Uncertain and intermittent nature of renewable generation compromises power quality for end-customers. (ii) Up-to-date distribution system […]

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Evaluation of New Technology in TechnipFMC’s Operations

TechnipFMC is a global leader in subsea, onshore, offshore, and surface technologies. They use innovative technologies to help their clients develop their oil and gas resources. The purpose of this project is to research and evaluate two new technologies to determine the best fit for deploying the technology in TechnipFMC’s operational environment.

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Deep Portfolio Model

Portfolio management is a well-known multi-factor optimization problem, which involves historical price data, macroeconomic data and market indicators. Many researches have been conducted to find optimal portfolio allocation using machine learning. However, some limitations still exist, such as incorporating multiple factors into a single model, the robustness for encountering economic events, and potential bias by […]

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Middle ear optical coherence tomography imaging system

This project will develop a microscope to allow ear surgeons to non-invasively see through the ear drum and into the middle ear. 250,000 ear surgeries are conducted annually in the US, but currently ear surgeons do not have a good diagnostic tool for imaging the middle ear non-invasively. For many forms of conductive hearing loss, […]

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Cellulose Nanocrystals Reinforced Nitrile Butadiene Rubber (NBR) nanocomposite dipped products: Processing and Structural Properties

The research project will develop processes for the fabrication of latex rubber films containing cellulose nanocrystals (CNCs) as reinforcement to enhance the physical properties of the films. Similarly, improving the compatibility between the latex rubber and the CNCs will be investigated which is expected to significantly improve the physical properties of the films, resulting in […]

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