Investigation of turbulent three-phase flows in the FLSmidth nextSTEPTM flotation cells using CFD-PBM-kinetic simulation framework

The proposed research is aimed at both understanding and improving the flotation equipment design through the development and application of comprehensive multiphysics platform, which has the potential to create more accurate, fundamental basis for modeling, optimization, and scale-up of industrial flotation processes, based on physics rather than empirics and intuition.

Cumulative Environmental Effects from Unconventional Oil and Gas Activity in the Liard River Watershed: Greenhouse Gas Emissions, Freshwater Extraction, and Risk of Cross-Contamination

The Liard River Watershed covers 275 000 square kilometres in Northeastern British Columbia. This vast area is increasingly being developed for its underlying shale gas resources using hydraulic fracturing (“fracking”). However, there are few studies investigating the environmental impacts of such activity in this vast area. Fossil fuels and freshwater are two of Canada’s most important natural resources, and therefore an understanding of the water-energy nexus is paramount.

Smart fusion of multi-sensors for UAVs Navigation - Year 2

The main outcome of this Mitacs-sponsored project will be a robust navigation software capable of providing accurate navigation solutions for commercial Unmanned Aerial Vehicles (UAVs). Such a software will further elevate the industrial competitiveness for the partner corporation, the Profound Positioning Inc. (PPI). After finishing this project, PPI will be able to offer more comprehensive embedded integrated UAV navigation products.

Machine Learning for Improved Automated Valuation Model (II)

To estimate the market value of a real estate, a computer software program can produce the result by analyzing the location, market conditions, and other characteristics relevant to it. This is known as the 'automated valuation model (AVM)'. The previous Mitacs Accelerate project with 'Data Nerds' has conducted a series of experiments with the attributes of real estates and geographic dependencies. This project is to further develop the AVM by incorporating temporal factors. The deep learning based approaches will be employed in this project.

Exploration of equillibrium moisture content characteristics for Manitoba-grown soybeans

The equilibrium moisture content (EMC) is an important physical property that significantly impacts all hygroscopic biomaterial. Knowledge of EMC of grains and pulses including soybeans is essential for efficient post-harvest operations such as drying, aeration, or storage. EMC changes with the variety but is also affected by handling and aeration practices. During storage, seeds undergo many micro-wetting and drying cycles or freezing and thawing cycles, which also affect the sorption and desorption characteristics.

Modeling and optimisation of woven composite hydraulic tubes, to reduce in-service defects and failures

Sanexen Environmental Services Inc. is a Quebec-based industrial partner, specializing in the environmental management of contaminated site remediation and water main rehabilitation. Over the past 30 years, the company has developed a profound expertise, as well as technologies to meet the needs of private and public organizations facing various environmental issues.

Business Technology Management (BTM) Body of Knowledge (BOK)

Business Technology Management (BTM) is a rapidly emerging trans-disciplinary research area and professional discipline in Business Administration. It seeks to provide an integrated framework for the strategic use of Information and Communication Technology (ICT) and the digital transformation of organizations. This research project will develop the first BTM Body of Knowledge (BOK) and provide a systematic, exhaustive, and evolving framework for professional practice standards.

The “CARE” (Clinical Analytics for Real-World Evidence) Platform

The healthcare industry is shifting from randomized controlled trials (RCTs) care to real world data (RWD) to understand how well an intervention performs in clinical practice. The best source of RWD is source data – that is, data that are collected at the interface of the patient and the health care system.

Direct Recycling Process of Spent Lithium Iron-phosphate Batteries

Lithium batteries, developed during 80’s, are used more and more as energy sources for electronic devices, hybrid or electric vehicles or other uses. Another application currently in development is the use of lithium batteries to stabilize the energy grid system and energy fluctuations from renewable energy sources such as solar and wind power. Hydro-Québec is developing such large-scale energy storage system based on a lithium battery technology called “Lithium iron-phosphate”, developed at Hydro-Quebec.

High-fidelity robotic simulation framework for artificially intelligent medical robot

There is a great need and benefit to integrate artificial intelligence, robotic simulation, and robotics technology into Canada’s medical industry, hospital environment, and healthcare system. Robotic simulation technology, which has been successfully used for space rover missions such as NASA's Curiosity rover and the Mars Pathfinder and Sojourner mission, provides the ability to create and test different types of robots with different hardware configurations, and develop their associated artificial intelligence systems.

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