Nearshore marine ecosystems are undergoing change, with ecological, economical and cultural ramifications. Yet, we lack empirical understanding and observation of the nature of this change, over long periods of time and across continental coastlines. Additionally, the drivers of change in coastal systems are numerous: climatic forcing, predator recovery, and development of foreshore areas, amongst others. […]

Dynamic modeling is one of the most important tools for the power system operation and planning purposes. In order to study the behavior of the system, which is subjected to disturbances, a valid knowledge of parameters of system components is essentially required. The objective of this project is to propose an applicable algorithm to identify […]

La réhabilitation des sites contaminés est l’un des défis stratégiques en vue d’une urbanisation durable. Toutefois, plusieurs obstacles freinent leur réaménagement, tout particulièrement l’incertitude liée à leur réhabilitation. Bien que le contrôle de cette incertitude représente un facteur clé facilitant le réaménagement des sites contaminés, il est pourtant peu étudié et maîtrisé, voire inexistant dans […]

De nos jours, les algues de cultures attirent de plus en plus l’intérêt des consommateurs et des industries québécoises. En effet, elles regorgent d’éléments nutritifs et comportent des propriétés intéressantes tant pour l’alimentation que pour l’industrie pharmaceutique. Cependant, les pêcheurs québécois font face à plusieurs défis techniques et économiques pour répondre à une demande croissante. […]

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This research project is aimed at developing a multi-sensor system based on an unmanned aerial vehicle for characterizing soil micro-topography in agricultural fields. The system will be benefit from both passive imaging and active ranging technologies, respectively, based on an optical digital camera and a LiDAR sensor. Accurate and complete elevation measurements are essential for […]

Les organisations de haut savoir font face à un défi d’envergure : le départ à la retraite dans un futur proche d’un nombre important de cadres dirigeants et experts dont elles dépendent grandement. Ce projet de recherche a pour but de mettre en lumière les principaux enjeux liés au transfert des connaissances et de munir […]

Veneer drying has traditionally been done using a qualitative approach. Although it is effective in assessing how any modification in parameters impacts veneer quality, it often yields a significant loss in quality due to delays involved in reaching the kiln’s steady state following parameter modification. However, kilns are now being equipped with various sensors that […]

The aim of this project will be to evaluate the performance of a custom ultrasonic linear array transducer in an industrial setting. The partner organization, Finkl-Steel Sorel, is a manufacturer of high quality steel forging andhas a desire to improve the inspection tools they are currently using. However, due to the size of the steel […]

Building on top of the numerous recent advances in deep learning (and in machine learning in general), we aim at learning high-level, semantically plausible representations of animation data and human from 3D skeletal data in order to automate or replace different tasks of the animation pipeline which require sometimes rigorous human work. Specifically, the tasks […]

Canada is becoming an international leader in energy storage systems. Battery energy storage systems (BESS) are one of the key parts of the storage landscape and can serve a wide range of applications across the electricity supply chain. The focus of this research is on the application of BESS in mitigating power quality issues in […]

Canada is becoming an international leader in energy storage systems. Battery energy storage systems (BESS) are one of the key parts of the storage landscape and can serve a wide range of applications across the electricity supply chain. The focus of this research project is on the application of BESS in mitigating power quality issues […]