Actuellement les prothèses d’épaules dites inversées sont préconisées dans le cas de coiffe des rotateurs endommagée. Ces prothèses assurent la stabilité de l’articulation mais limitent la mobilité articulaire, notamment en élévation du bras. Pour pallier cette déficience, Statera Medical propose un design de prothèse innovant avec un degré de liberté additionnel. Ce concept de prothèse pourrait affecter la stabilité ainsi que le descellement de la composante glénoïdienne.
Everyday more than one million Canadians working in noisy environments are using Hearing Protection Devices (HPDs) to be protected against the risk of noise-induced hearing loss (NIHL). Together with the NSERC-EERS Industrial Research Chair in In-Ear Technologies (CRITIAS), the EERS Global Technologies Inc. has recently brought to market an innovative line of HPDs, enabling workers to effectively communicate in noise while being protected.
Ce projet de recherche a pour objectif principal d’évaluer le confort des passagers dans la cabine d’un train léger lorsque soumis à des accélérations verticales résultant de l’interaction dynamique du système Train-Rail-Pont. Afin d’obtenir des résultats réalistes, une analyse dynamique détaillée par éléments finis s’avère nécessaire.
La technologie photovoltaïque (conversion de l’irradiation solaire en électricité), fait face à certains défis dans le nord du Canada. Ces défis sont liés à la neige, au givre et à la glace qui peuvent se former sur les panneaux, empêchant le rayonnement solaire d'atteindre les cellules, ce qui réduit la production d'électricité. Ce travail de recherche propose une technologie optimale du point du vue techno-économique pour augmenter la production d’électricité, c’est la technologie photovoltaïque bifaciale.
This project aims at proposing a novel approach for the task of Conversational and Visual Question Answering. We propose to use Knowledge Bases for questions which require common sense, or basic factual knowledge from external structured content. We will explore the application, adaptability and utility of common sense knowledge to handle the question answering problem on both textual and visual questions.
Traditionnellement, les robots installés sur les lignes d’assemblage des entreprises manufacturières s’affairent à exécuter un ensemble restreint de tâches à haute répétition. Or, de nos jours, les PMEs ont plutôt affaire à une production à plus petit volume, mais à plus grande diversité, en vue de répondre aux fluctuations rapides du marché. Ainsi, les robots devront être plus agiles, c’est-à-dire qu’ils devront pouvoir s’adapter à une plus grande variété de pièces et de tâches.
Traditional time-consuming and error-prone methods of quality control of prefabricated elements can be replaced with state-of-the-art approaches. For example, emerging computer vision and deep learning technologies can be employed in the processes to achieve better performance and quality. To detect defaults and missing welds on prefabricated steel products in real-time, this study enhances the performance, robustness, and extensibility of the computer vision-based method previously proposed by our research team.
This research project aims to expand Symgery’s line of surgical training products by simulating cutting and tearing of physical models in real-time. Cutting and tearing of simulated models typically requires additional computational overhead due to post-processing of the volumetric mesh. However, our approach will render the process to be more efficient by using a hybrid model that combines continuum FEM models with mass-spring systems within a position based dynamics (PBD) framework. Implementation on a GPU and multi-core CPU will further improve performance.
In this project, we propose the use of blockchains to provide reliability, security, and transparency for collecting and querying IoT data in the energy sector. In particular, we will implement and evaluate our blockchain solution for enabling transactions in local energy markets, where homeowners have the capacity to generate energy (through renewables), stock energy (through electrical vehicle batteries), and consume energy. We will investigate various energy-related use cases and assess their relevance for Hydro-Quebec, as well as determine the added value of using a blockchain solution.
Structural health monitoring (SHM) of airplanes requires very compact and low-power stain sensors. Therefore, IPR wants to investigate how a commercial micro-fabrication process can be used to implement its MEMS sensor design, particularly using the electro-conductive properties of doped silicon vs. metal-coated crystalline silicon or polysilicon. The project will consist of a conceptual study of the current design provided by IPR and the design and evaluation through simulations of that design implemented in different technology.
