Apprentissage par transfert pour les modèles spatio-temporels de prédiction de la pollution

Le programme de recherche vise à développer des méthodes de transfert d’apprentissage (“transfer learning”) d’un espace spatio-temporel à un autre avec pour finalité la conception d’une nouvelle génération de modèles de machine learning capables de prédire des phénomènes de pollution hyper locale même en l’absence de données d’entrainement à forte granularité.

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Speech Keyword Spotting for Unmanned Ground Vehicles

This project aims to design a keyword spotting system (KWS) using microphone arrays installed on an unmanned ground vehicle (UGV). The project consists in 1) installing microphone arrays on the partner’s UGV, recording the ego-noise generated by the wheels and engine, and measuring the acoustic transfer function for each possible direction of arrival; 2) creating […]

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Modelling and Analysis of Induced Seismicity Events in the Kiskatinaw Seismic Monitoring and Mitigation Area (KSMMA) to Advance Event Mitigation Strategies

Canada’s unconventional gas resources are an emerging low-cost, clean burning energy source, the export of which presents both a major economic opportunity for Canada. To unlock this gas from the low permeability rocks it is found in, hydraulic fracturing is used. This process involves pumping fluids under high pressure into the reservoir rock to generate […]

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Skier Demand and Snow Conditions in British Columbia

How do warming temperatures affect local ski resorts and what can be expected for the future of alpine skiing in British Columbia? This study aims to determine how important natural snow and weather conditions are for customers at ski resorts in British Columbia and what this means under future snow conditions. By analyzing natural conditions, […]

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Computational Design Research and Dissemination Methods: ACADIA 2013 Adaptive Architecture Conference

The goal of this project is to develop enhanced knowledge and gain applied experience through technical research, development and knowledge mobilization activities. The research topic is focused on adaptive architectures with a focus on computational design of environmentally responsive, intelligent, interactive, and reconfigurable structures. Working with Philip Beesley as academic chair of ACADIA 2013 and […]

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Helicopter Wake Modeling and its Interaction with Pesticide Droplet Transport

MISSING!! The objective of the research to be conducted under the present research grant is the development of a CFD based model of a helicopter wake for the purpose of tracking pesticide droplet transport. The fluid velocity field, once obtained, can be used for tracking spray releases for an unlimited number of combinations of droplet […]

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Cooperators : Analyse d’images en assurance commerciale

The Co-operators est une coopérative qui offre de multiples services financiers dont des produits d’assurance dans plusieurs lignes d’affaires. Elle offre notamment de l’assurance commerciale à plusieurs types d’entreprises. Dans le processus de souscription, il est commun pour the Co-operators d’effectuer des inspections pour obtenir une meilleure idée du risque souscrit et pour donner des […]

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Former des capacités organisationnelles les technologies émergentes : Le cas de Desjardins et l’intelligence artificielle

L’intelligence artificielle suscite beaucoup d’intérêt de la part des grandes entreprises et Desjardins ne fait pas exception. Cependant, les organisations confrontées à la nature ambiguë et incertaine de cette technologie émergente ont généralement de la difficulté à la saisir et l’intégrer dans leurs pratiques et processus. Dans cette optique, ce stage tente d’investiguer les mécanismes […]

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Menya : Inspection visuelle de structures

Menya Solutions est la division spécialisée en intelligence artificielle (IA) de la compagnie Levio, une entreprise de transformation numérique en pleine croissance basée à Québec et comptant maintenant plus de 1600 conseillers. Chez Menya, nous développons des logiciels pour l’aide à la décision, la valorisation des données, le contrôle automatisé et la vision robotique pour […]

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Data Governance: A Launchpad for Telematics Business Intelligence

This research will identify opportunities to leverage telematics data to inform policy changes such as safe vehicle operation and fleet operator responsibilities. It will guide the development of telematics data management policies and support key programs that aim to: improve fleet asset tracking, optimize equipment availability/utilization, advance fleet share, and promote safe vehicle operation and […]

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Buried pipelines in the sloping ground and potential buckling during operation

Oil and gas pipelines generally traverse over a large distance through various ground conditions, from relatively flat areas to sloping grounds such as crossing hills, mountain ridges and rivers. Ground deformation/slope failure and upheaval buckling during operation pose a major threat to the structural integrity, safety and operability of the pipelines. In the proposed project, […]

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