Le projet consiste à étudier l’effet du type de pince de suspension sur la résistance en fatigue des conducteurs aériens de transport d’électricité. Cette étude sera composée d’une partie expérimentale, qui consiste à réaliser des essais de fatigue sur des assemblages pince/conducteur, et d’une partie numérique portante sur la modélisation par la méthode des éléments […]

Modelling the movement of water through a hydropower station is an important tool for understanding this very complex behaviour, where water is pushed and pulled through long tunnels and spinning turbines, resulting in a vast range of pressures and speeds. There are generally two types of models: 1-dimensional (1D) models, which are simple and cost-effective, […]

Ocean wave energy converters (WECs) are devices that utilize ocean energy to produce electricity or fresh water. A key stage in developing these devices is scale model testing in wave tanks, as it allows the power generation capabilities of a design to be evaluated at a much lower cost and with no environmental risk compared […]

The objective of the research project is to validate a new advance scheduling algorithm for MRI & CT bookings at a partner hospital and to design a scalable approach for future validation and implementation at other sites. The MDP model that books multi-priority patients with varying resource requirements to a single resource will incorporate the […]

The NSERC Strategic Network for Smart Applications on Virtual Infrastructures is a five-year partnership between Canadian industry, universities, researchers, research and education (R&E) networks, and high performance computing centres to investigate the design of future application platforms that will deliver software applications of greater capability and intelligence. These application platforms will be supported by an […]

This project will take existing waste material(s), blended with a stabilization agent and create a useful material that can be used as a cover material for a landfill. The waste materials will consist of residual material from municipal water or waste water treatment plants, pulp and paper plants combined with waste materials that are residual […]

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 […]

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 […]

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 […]

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, […]

High dimensional signals may arise in many fields of science. For example, biomedical signals such as EEG and EMG can be modeled by few latent processes measured by a large set of noisy sensors. In such applications the goal is to identify the latent intrinsic variables, which describe the true, intrinsic state of the system, […]