Lorsque les activités d’intervention se terminent suite à un sinistre, la période de rétablissement pose des défis importants pour les individus et les organisations. Le « retour à la normale » soulève des questions de reconstruction, de soutien prolongé aux sinistrés, de compensations, d’assurances, etc. Il engendre aussi des activités d’apprentissage dans et entre les […]

Le but du projet est d’adapter la densification de lames de bois par pressage a chaud en presence de vapeur pour utilisation dans la fabrication de lames de planchers d’ingemierie. Le bois utilise est une lame de 4,5 mm d’epaisseur d’erable a sucre. Nos travaux anterieurs ont demontres de bonnes proprietes suite a la densification […]

L’exploitation de la centrale hydroélectrique Romaine-1 cause sur la rivière Romaine des fluctuations du débit susceptible d’entraîner le déplacement des saumons juvéniles en dehors de leurs habitats préférentiels. Il est donc essentiel de déterminer si le mode de gestion actuel des débits permet aux saumons juvéniles de se maintenir dans leurs habitats. Pour étudier la […]

This project attempts to improve on a Ground Penetrating Radar (GPR) based assessment system that is used to evaluate the thickness of the salt layer in the roof of Potash mining rooms to enhance mine safety. The goal is to improve the operation of the algorithm by studying the GPR signatures of known geological structures […]

Au Québec, le gouvernement s’est donné pour mandat d’agir sur l’efficacité énergétique et l’économie d’énergie dans les ménages afin de réduire l’impact environnemental lié la production d’électricité. Pour concrétiser cette orientation politique, un changement de comportements des consommateurs d’énergie est nécessaire. Dans le cas de l’électricité, ce changement représente toutefois un défi important puisqu’elle est […]

The explosion of popularity of deep learning owes a lot to the success of convolutional neural networks, widely used in diverse fields including computer vision and natural language processing. Recently, the group equivariant convolutional neural network (G-CNN) was introduced, where equivariance of symmetries inherent in the data set is built in the architecture of the […]

The Ladle Metallurgy Furnace is used for adjustment of chemical composition and temperature, and control of tiny particles called “inclusions”. Controlling inclusions is carried out by adding calcium to modify the solid alumina or magnesium aluminate inclusions to less harmful liquid inclusions. During ladle process, reaction of top slag, steel and inclusions occur simultaneously. Therefore, […]

Sensors that track human movement are becoming more and more popular in all kinds of applications including healthcare, sport and general human movement. However, traditional sensors generally have problems tracking individuals indoors and they are not very accurate when measuring subtle movements. Using innovative technology, new wearable sensors have been developed to track human movement […]

Lipid-based nanoparticular drug formulations are a successful technique to enable targeted treatment. The Canadian company Precision Nanosystems Inc. (PNI) develops the innovative instrument family NanoAssemlr for lipid nanoparticle preparation based on microfluidics. These instruments are fast, easy-to-use and provide a high batch-to-batch reproducibility and quality. Recently, we developed a novel lipid nanoparticle formulation with the […]

Graphics Processing Units (GPUs) are usually employed to quickly render images on everyday computer screens, and do so quickly and efficiently for relatively little cost. Modern GPUs are able to do hundreds or thousands of simultaneous calculations; rewriting conventional computer problems in the language of GPUs offers the potential to dramatically decrease the computing time […]

Machine learning can be used to predict employee events around retention, promotion or movement. This project explores how to generate better predictions by exploring correlations and exploiting them through features that increase predictive strength. Furthermore, the project explores how to reliably fine-tune the predictive model to a particular data set in the presence of interdependence […]

Today’s technological advancements are changing job requirements and skills expectations at a rapid rate. Businesses are consistently striving to investigate these trends and prepare for upcoming “disruptions.” In terms of job automation, there are many barriers that people experience when trying to access learning platforms such as online learning tools and micro learning sessions, as […]