Machine learning model for corrosion detection and assessment for pad mounted equipment

Corrosion of electrical utility infrastructure represents a major operational challenge that currently relies on labor-intensive manual inspections. This project aims to develop an automated machine learning system to detect and assess corrosion using publicly available street-level imagery, enabling frequent, low-cost monitoring across the distribution network. The proposed methodology will leverage recent advances in object detection […]

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Concept d’opération pour améliorer le processus d’optimisation de l’efficacité énergétique pour l’ensemble du cycle de vie du bâtiment

L’objectif principal du projet de recherche est de développer une approche d’optimisation de l’efficacité énergétique d’un bâtiment à chaque étape du processus de conception à l’aide de la simulation énergétique. Ceci dans le but d’assurer une meilleure conception des bâtiments futurs à l’aide de données recueillies dans des bâtiments existants similaires en formulant des recommandations […]

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Conception, fabrication et programmation d’un drone autonome capable d’atterrir sur la canopée pour l’acquisition de données en forêt tropicale.

L’objectif du projet est de produire un drone capable d’atterrir de façon autonome dans la canopée pour y transporter des charges utiles permettant de récupérer des données sur l’environnement. Des technologies novatrices, comportant une partie mécanique et informatique, sont nécessaires pour y arriver. Premièrement, un train d’atterrissage doit être développé pour protéger les hélices des […]

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Optimization of test protocols to investigate material influences on the fuel cell performance caused by material handling

In Early 2013, an NSERC Engage grant and a Coop term project enabled collaboration between Mercedes-Benz Canada Inc. Fuel Cell Division (MBFC) and Dr. Merida’s group at the University of British Columbia (UBC). A test-bench apparatus for the evaluation of fuel cell material properties during manufacturing processes was designed. The present proposal builds on the […]

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Selective Compression of Live Digital Video Frames for Power-friendly Wireless Transmission and Efficient Reconstruction

The project is aimed at implementing real-time processing techniques for video acquisition, compression and transmission. The project focuses on defining solutions in order to solve constraints within the system related to bandwidth and the battery energy of the sensor. Depending on the application, the acquisition and compression procedures could be based on extracting significant features […]

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L2M – Daku Tech Personal Locator Beacon

Our project’s specific idea of developing an advanced personal locator beacon (PLB) tailored for commercial fishermen holds immense potential benefits for Canada. By enhancing the safety and security of fishermen navigating the country’s vast and often treacherous waters, our innovative PLB technology has the potential to significantly reduce the alarming rate of occupational injuries and […]

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Heated textile using screen-printing

Wearable devices are a promising technology for collecting and analyzing physiological and environmental data for various applications, including healthcare, sports and fitness, and occupational health and safety. In some settings, these wearable devices can also be integrated with actuation capabilities to interact with users. The proposed research project focuses on applying wearable technologies to thermal […]

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Development of Cost-Effective Solutions for Energy Management in Smart Buildings

The proposed research aims at developing control strategies under the paradigm of Demand Response (DR) in the context of the Smart Grid in order to improve energy efficiency and to reduce operational cost in commercial buildings and communities. The emphasis will be put on consumer side energy management strategies that able to balance energy demand […]

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L2M – Imprinted polymeric microstructures for specific capturing of target analytes

For those who need precise and selective capturing, releasing, and sensing of substances within complex samples and harsh conditions, SensoFluidix offers microparticles and membranes with monodispersed shapes and sizes, serving as tailor-made synthetic recognition elements within disposables microfluidic cartridges and sensors. Unlike natural receptors, our cost-effective synthetic receptors can endure harsh environments, boast a prolonged […]

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Classification des rachis cervicaux dans la population québécoise adulte nécessitant une chirurgie

Lorsque des prothèses et outils sont développés pour la chirurgie de la colonne vertébrale, leur conception exploite des simulations numériques. Cependant, les simulations de colonne qui sont utilisées ne représentent souvent qu’un individu caucasien de sexe masculin, dans la trentaine, et sans maladie. Ceci ne correspond pas aux patient·es susceptibles de recevoir une chirurgie de […]

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L2M – Remote Estimation of Ocean Sound Speed

Our technology remotely measures sound speeds in ocean depths using acoustic techniques, eliminating the need for physical sensors to be lowered into and raised from the ocean. As sound speed is a crucial parameter in most ocean acoustics systems, our remote measurement capability revolutionizes ocean acoustics and oceanography by providing real-time sound speed data. Attending […]

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