This project is to help SaskEnergy characterize the pollutant transport behaviors under the remediation process of SVE through advanced modelling system. Such a modelling system employs a series of stochastic analysis methods to quantify the random features in the subsurface at Cantuar site such as the porosity, hydraulic conductivity and so on. Then, relationships (or […]

A higher incidence of colon cancer is reported in populations consuming high amounts of red meat, as well as in patients with inflammatory bowel disease, where gut bacteria participate in the development of inflammation. We found that dietary supplementation with heme, an element found at high levels in blood, is detrimental to gut health and […]

Les tourbières représentent la majorité des milieux humides du Québec et offrent une diversité floristique unique. Cependant, les gradients structurant leur biodiversité restent mal connus. Cette compréhension est toutefois essentielle afin d’orienter adéquatement les choix de conservation. Nos objectifs sont 1) de modéliser la répartition de la diversité floristique des tourbières; 2) d’étudier la dynamique […]

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 […]