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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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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Labo Climat Montréal

Le Labo Climat Montréal est un projet de recherche qui accompagne la Ville de Montréal et Ouranos dans le redéveloppement urbain du quartier Lachine Est. Son objectif est de développer de nouvelles pratiques de planification de projets urbains qui prennent en compte l’adaptation aux changements climatiques. Pour cela, les stagiaires participeront aux nombreuses tâches du […]

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Deep learning-based Vision Inspection

Quality inspection is very important for manufacturing industry, current solution struggles with accuracy and requires machine vision knowledge to use. We are proposing to use deep learning technology to improve the performance of inspection as well as to ease the use of such system, so that user can simply use labeled data to build a […]

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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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Development of activated carbon from thermal coal for electrical double-layer supercapacitors – Part 2

Supercapacitors are electrochemical energy storage devices that promise fast charge-discharge rate, high power density, and long cycle life. However, low energy density and high cost of supercapacitors are yet to be addressed to catch up with the established market of batteries. This research project will design low-cost and high-energy electrodes for high-performance supercapacitors. To this […]

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Effect of Leading-Edge Manufacturing Defects on Propeller Performance

The objective of the proposed research is to investigate the performance degradation of a full-scale modified NACA 66 section, which is typically used for marine propellers, due to leading-edge (LE) manufacturing tolerances. Two-dimensional computational fluid dynamics (CFD) simulations will be carried out for the base section without defect (as designed) and sections with LE defects […]

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Sélection in vivo de symbiotes racinaires en vue d’améliorer la réhabilitation des habitats de la toundra arctique et alpine du Québec affectés par l’exploitation miniè

Avec le plan Nord 2035 lancé en 2011 (Gouvernement du Québec 2015), le Gouvernement du Québec prévoit investir dans la mise en place de 17 projets miniers dans le nord du Québec (au-delà du 49ième parallèle). Les écosystèmes fragiles comme la toundra subarctique ne peuvent pas retrouver leur état d’origine après une perturbation d’envergure comme […]

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Safe and Low-cost Robot Grasping through Impedance Control and Deep Learning

Grasping skill is significant in modern service robot that requires interaction with object under manipulation. Grasping of a new object is a trivial task for human operator while it is challenging for robot manipulators. Inspired by the grasping process of human operators, grasping control algorithms based on the integration of vision, tactile sensing. Deep learning, […]

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Building and renewing competitive advantage in emerging technological domains: technology startups and innovation communities

The emerging technology company is in a dynamic environment where everything is changing turbulently, not only the actors but also the environment itself. For such emerging companies it is crucial to rely on local innovation communities in order to build and maintain a competitive advantage while balancing a number of paradoxes relater to their involvement […]

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Durham Region Climate Change Modeling (DRCCM)

projections across their watersheds and lower tier municipalities. Leveraging previous modeling that was completed five years ago, they have established a suite of climate variables they would like to update based on the latest science, and hope to access existing regional climate model outputs through online portals or academic experts and undertake post-processing and analysis […]

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Analyse exploratoire des utilisateurs d’une plateforme de commercialisation en ligne d’assurance vie

Le projet vise à utiliser des techniques analytiques avancées sur les données des visiteurs d’une plateforme web dédiée à la commercialisation d’assurance vie en ligne. Cette analyse offrira à l’entreprise partenaire et ses clients l’opportunité de mieux comprendre les utilisateurs de la plateforme. Cette compréhension accrue permettra à l’entreprise partenaire de raffiner ses communications et […]

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