Development of a Strategy for the Improvement of the Wireless UnderGround-to-AboveGround Connectivity Probability Using the Non-Licensed UHF-Band Localization and Telemetry Systems in Harsh Environments

Two IoUT localization and telemetry sensors with RF antennas and power amplifiers at 915 MHz are achieved. The two sensors were measured in the research laboratory showing a reasonable agreement with the simulation results. However, the two sensors were not measured onsite yet. Therefore, the performance of the two IoUT localization and telemetry sensors is […]

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Novel Drug Disperser System

Rapid testing has emerged as a core pillar of public health and diagnostics, and relies heavily on lateral flow immunoassay (LFIA) test kits. Lateral flow assay dispenser (LFAD) is the preferred method of manufacturing LFIA test kits. Significant improvements in LFAD can significantly improve through put, while simultaneous reduce costs. The increased adoption of Industry […]

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Émission de gaz à effet de serre par les sols suite à l’application de cendres de bois dans les érablières estriennes

L’application de composés alcalinisants tels que la chaux ou la cendre est de plus en plus envisagée dans les érablières du Québec afin d’améliorer le statut acide-base du sol et la nutrition des forêts. Il est possible, cependant, que ces composés provoquent un accroissement de l’activité microbienne du sol, ce qui pourrait augmenter la production […]

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Investigation of thermal losses of various configurations of wet and Dry thermally insulated systems and with and without deployment of novel Mica Spacer system

In many industries, particularly those using steam to heat or move heavy oil, keeping pipes and equipment as hot as possible is very important. When heat escapes, it lowers the efficiency of the operation, raises costs, and increases the carbon footprint. Insulation is supposed to keep heat inside, but it does not always work well […]

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Déploiement de la maintenance prédictive basée sur l’intelligence artificielle

Ce projet introduit la maintenance prédictive chez Aliments Morehouse Canada, en exploitant des technologies avancées d’intelligence artificielle et de l’Internet des objets (IoT). En centralisant les données de production et de maintenance dans une base robuste pour résoudre le problème des données fragmentées et en développant des modèles prédictifs performants, il permettra de réduire les […]

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Nanostructured fibers for the fabrication of hierarchical thermoplastic composites

Flexpipe, the industrial sponsor, is recognized as a global leader in the production of fully organic reinforced thermoplastic pipelines (RTPs). Flexpipe is currently offering non-metallic, non-bonded spoolable fiber-reinforced thermoplastic composite linepipes with a maximum service rating of up to 82 °C and up to 1500 psi, for high-temperature fluid transportation, CO2 injection and other corrosive, […]

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A Machine Learning Method for Automated Intraoperative Assessments in Total Hip Surgery

This research project aims to create advanced computer tools to help surgeons during hip replacement surgery by automatically identifying important parts of the hip anatomy and providing accurate measurements in real-time. The intern(s) will work on developing a large, realistic set of simulated X-raylike images to mimic what surgeons see during different stages of the […]

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Advanced Multilayer Polymer Systems for Carbon Capture Pipelines: Data-Driven Barrier and Mechanical Performance Optimization

Carbon Capture and Storage (CCS) is essential for reducing greenhouse gas emissions, but traditional metal pipelines used to transport CO2 are prone to corrosion, especially in environments with impurities like H2S and SO?. This project aims to create advanced plastic-based pipeline systems that are more durable and cost-effective. We will develop multi-layered polymer designs combining […]

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Genetic Algorithm for Optimal Aircraft Routing

Airlines take the extra effort required to figure out what is the best route that their aircrafts should take so as to minimize additional costs from non-revenue flights or idle time. One way to di this is to first generate large numbers of feasible routes and then assign flights to a subset of them so […]

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Developing Low-Power Spiking Neural Networks for Image Enhancement on Embedded Neuromorphic Boards: A Multimodal Sensor Fusion Approach

Image enhancement consists of creating a composite image (fused image) from different sources. The objective of this project consists of acquiring images from Electro-Optical sensors and Infrared (IR) sensors in low light conditions, to enhance them, to combine (fuse) them in order to create an image of better quality. To do so, the project will […]

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