La simulation dynamique est d’une aide précieuse pour étudier des stratégies d’amélioration. Elle permet de visualiser le comportement d’un système dans un cadre virtuel, identifier les goulots et expérimenter avec une large gamme de scénarios [1]. Le projet vise à concevoir et mettre en oeuvre une bibliothèque logicielle pour modéliser l’opération des équipements d’un centre […]

Research suggests that individuals with autism live a lower quality of life than their peers. Individuals with autism are more likely to become obese than their typically developing peers, and less likely to develop friendships and be involved in their communities. While physical fitness service providers are experts in physical fitness, working with individuals with […]

This project aims to develop a remote sensing based framework for Newfoundland and Labrador (NL) wetland inventory and classification and monitoring through the synergistic use of satellite and airborne multi-spectral and ortho-imagery and space-born synthetic aperture radar (SAR) data. The proposed project involves collaboration from C-CORE, Ducks Unlimited Canada, and Santec. The results and approach […]

There is no more powerful correlate of human health and wellbeing than positive social relationships. Multi-family housing, through design, layout, and location, can exert a significant effect on local relationships, neighborhood trust and residents’ sense of belonging. We propose a program to gather, refine and illustrate the evidence linking design and social wellbeing in multi-family […]

This research focuses on novel sensor-based algorithms for sorting rocks and categorizing them as good (valuable) and bad (worthless) rocks. The sensors in the sorter will “see” the rocks characteristics, whether it’s their color or atomic density or the desired element and send a command to a mechanical arm, for example, to separate the two […]

This project aims to develop, and implement a code for real-time geotechnical hazard assessment and reporting for ultra-deep mining. This pilot project will be tested on a real mining site the Glencore’s Nickel Rim South Mine near Sudbury. This algorithm will represent a step-change in the capability to assess and manage geotechnical risk in mining, […]

The rapid depletion of fossil fuels (such as Coal, Natural gas, Oil etc.) and the escalation in environmental pollution have prompted increased investigations in the field of alternative energy sources. In this context, solar cells are being studied to satisfy the increasing power needs of today’s society as photovoltaic power uses pollution-free energy source, solar […]

Accurate measurements of mass flow rate in a pipe is crucial to virtually every industrial process where a fluid is moved from place to place. The velocity measured in a pipe is often determined by measuring the pressure drop over an orifice plate. Once this orifice plate is properly calibrated, the velocity and in turn, […]

The main objective of this project is using deep learning algorithm to enhance the current state of the art tooth wear monitoring system used in mining shovels. Unlike the current approach, the proposed deep learning method operates by building a model from input images in order to make data-driven predictions. We use deep learning approach […]

G protein-coupled receptors (GPCRs) are proteins present on the surface of a cell that are the targets of >30% prescription drugs. These GPCRs are involved in various diseases ranging from hypertension, airway diseases to taste disorders. Detection of antibodies for GPCRs in various disease states is a challenging task. The main goal of this project […]

Si les TIC ont permis à la formation de devenir plus accessible et favoriseraient l’engagement et la motivation, les faibles taux de réussite en formation à distance (FAD) posent problème. Les environnements numériques (EN) utilisés dans les formations en ligne enregistrent systématiquement les traces informatiques des activités des apprenants, qui peuvent être combinés avec des […]

There is emerging evidence from studies at the Montreal General Hospital supporting the effect of prehabilitation (also referred to as preoperative conditioning) on postoperative outcomes. Increasing physical fitness and optimizing nutrition in cancer patients before surgery can help patients feel physically stronger, return to their community functions sooner and potentially undergo adjuvant cancer treatment earlier […]