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 […]

The COVID-19 pandemic has abruptly and undoubtedly changed the world as we knew at the end of the second decade of the 21st century. Of particular interest to this research program is development of advanced autonomous screening (thermographic and cognitive) systems via integration of signal processing and deep learning models to address the following three […]

In this proposal, we intend to answer how infrastructure sensors can be used for autonomous driving. Using infrastructure sensors make automated driving safer, more simplified, and cost effective especially for multiple autonomous vehicles operating in known environments such as large residential/commercial complexes and resorts. Infrastructure sensors replace the main onboard vehicle perception sensors with infrastructure […]

Imagine some of the difficult driving conditions experienced by vehicle operators. In these conditions, the sun might be blindingly bright, or the snow might obfuscate what is going on around the vehicle. Surprisingly, the sensors used by autonomous vehicles to understand the environment they are in suffer from similar effects. As a field, robotics has […]

During their tenure at Preoperative Performance Inc. the interns will focus on the research, design, fabrication and testing of a number of novel MRI phantom assemblies to be used as calibration equipment and research tools for diffusion weighted imaging systems. The conclusions drawn from this research will contribute to interventional planning to provide better healthcare […]

Performance management collects data to quantify and measure outcomes obtained by organizational processes in order to determine how well they achieve organizational goals. A significant challenge in implementing information systems support for process management of care processes is to understand the relationship between care processes and their performance measures. This research will develop an application […]

Dans les projets de construction, les données et informations initiales clés sont issues du chantier. Les membres de l’équipe projet collectent ces données sur place, via des calepins, ou bien des formulaires papier et les rapportent au bureau pour les analyser et prendre des décisions quant au projet. Ensuite, ces informations sont la plupart du […]

This project aims to develop and analyze a radial pneumatic propulsive system for vehicular applications in a different size ranging from city-driving short-range vehicles to 40-foot municipal transit and school buses. It is intended to bring the potential investors to Canada out of this project to collaborate with regarding academic and partner organizations. Since the […]

Le projet vise à augmenter les connaissances de la communauté scientifique concernant la préfabrication de coffrage hors chantier de construction. Le projet comportera une partie revue de littérature existante, puis portera sur l’étude de cas d’une entreprise de génie civile désireuse de créer une activité de préfabrication de coffrages. L’objectif sera de déterminer les gains […]

La nouvelle suspension des motoneiges Ski-Doo de l’entreprise Bombardier Produits Récréatifs (BRP), le R-motion, présente un amortisseur passif dimensionné pour un type spécifique de motoneige. L’objectif est maintenant de concevoir un amortisseur semi-actif couvrant la vaste plage de fonctionnement de trois amortisseurs KYB présents sur les modèles de motoneiges GSX, MXZ-X et MXZ-XRS et, ainsi, […]

Reliable monthly and seasonal streamflow predictions are essential for optimal planning of water resources, particularly for reservoir operation and planning applications. In addition, reliable streamflow forecasts can improve the capability of water use efficiency, along with early drought and flood warning, and its importance is rising with climate change, causing more frequent extreme drought events. […]

Optimizing energy consumption of Artificial Intelligence of Things (AIoT) devices is mandatory and challenging. Energy Harvesting (EH) from RF, solar, thermal, wind, and kinetic energy sources can be a good substitute for traditional batteries. EH is expected to have abundant applications in future AIoT and self-powered micro-systems such as wireless sensor networks and wearable devices. […]