Dimensions stratégique et géopolitique de la transition énergétique en Chine

Le développement économique de la Chine et sa situation démographique ont rendu le pays dépendant de ses importations d’hydrocarbures depuis 1993. Une telle situation explique la nécessité d’une transition énergétique en Chine. L’actuel plan quinquennal (2016-2020) prévoit de contrebalancer la réduction drastique de la consommation de charbon par des investissements massifs dans l’industrie de l’éolien […]

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Advanced Nystagmus System (ANSTM) as objective diagnostic tool for mild traumatic brain injury (mTBI) and concussion: A validation study using structural and functional magnetic resonance imaging

Annually, 2 million individuals in North America suffer mild traumatic brain injury (mTBI) or concussion (cost: $75 billion), with 200,000 in Canada. An objective tool is required to distinguish concussed subjects acutely from ontrols, and to predict who will develop chronic symptoms. The frontal lobes, the corpus callosum, and the thalamus play key roles in […]

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Optimisation de la puissance et de l’énergie spécifiques des cellules au lithium-ion par métaheuristique combinée à la modélisation

Le présent projet vise l’amélioration des performances des cellules au lithium-ion servant au stockage d’énergie électrique. L’énergie et la puissance des cellules au lithium-ion font parties de leurs propriétés les plus importantes. Une optimisation sera donc effectuée afin de maximiser l’énergie ainsi que la puissance de ces dispositifs. Le travail sera réalisé pour les trois […]

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Développement d’un outil d’analyse de texte assistée par ordinateur permettant de classifier les entreprises dans l’écosystème de la 5G au Canada

Prompt doit identifier les PME qui ont un fort potentiel de croissance au sein de l’écosystème canadien de la 5G. Dans ce contexte, la recherche propose d’exploiter une base de données textuelles. Elle est constituée par les sites internet de 7 000 entreprises. Cette base de données a déjà été construite par Prompt. Le premier […]

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Removal of Micropollutants from Wastewater by Immobilized Laccase on Hollow Silica Embedded Plastic Packing Reactor

Micropollutants can be found in almost all water bodies due to their recalcitrant character. As conventional treatment plants are not efficient for many recalcitrant pollutants, oxidative methods and physical treatment methods have been widely applied for treatment of wastewater. Green enzyme-Laccase has high ability to transform many kinds of micropollutants, such as recalcitrant contaminants, into […]

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Increasing real-time video streaming performance over Wi-Fi networks

This project focuses on improving the performance of the real-time video streaming over Wi-Fi networks, in which losing packets is a serious concern. State-of-the-art methods try to improve the robustness of AL-FEC mechanisms by providing unequal protection to the packets. But such approaches are complex and increase even more the delays. In contrast, the proposed […]

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OPTIMIZATION FOR BUSINESS SYSTEMS AND CONVERSATIONAL ANALYTICS (Retail Personal Store Manager)

State-of-the-art forecasting: Demand planning is a critical part of a business’ operations. Traditional approaches to forecasting use statistical methods to predict future demand from past transactions, but do not take into account contextual data. However, there are good reasons to believe that contextual data – such as weather, events, product descriptions, sentiment analysis (from reviews, […]

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Real-time visual detection for robotic inspection

The project aims to equip Hydro-Québec’s current and future fleet of inspection robots with autonomous inspection capabilities. The three main objectives of the project are: 1. Leverage breakthroughs in artificial intelligence to enable robotic vehicles to realize real-time automated visual inspection of the company’s infrastructure. 2. Facilitate and accelerate deep neural network (DNNs) machine learning […]

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Reinforcement Learning for Aviation Training

This project seeks to explore the use of a class of artificial intelligence algorithms called reinforcement learning for the purpose of aiding the training of new pilots. In the process, we seek to “teach” an algorithm how to fly an aircraft by exposing the AI pilot to a virtual environment and providing it with flight […]

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Functional investigation of the dynamics of TERRA and hTR in cancer cells

The research project is focused on the relationship between cancer and telomeres. It is intended to be a functional investigation of the dynamics of TERRA, a long non coding RNA transcribed at telomeres, and hTR, the telomerase RNA subunit, in human cancer cells. TERRA is an important molecule implicated in telomere maintenance and genome stability. […]

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