Developing niosome-based vehicles to deliver plant immune aids

Innovative approaches that ensure food security in light of the increasing world population, increasing variety of crop pests and microbes, and accelerating climate change are urgently needed. Suncor has developed a novel plant immune aid that can effectively enhance the disease resistance of crops to enhance agricultural yields. Through this collaboration with Dr. Todd Hoare’s […]

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Fast and Accurate Computation of Wasserstein Adversarial Examples

Machine learning (ML) has recently achieved impressive success in many applications. As ML starts to penetrate into safety-critical domains, security/robustness concerns on ML systems have received lots of attention lately. Very surprisingly, recent work has shown that current ML models are vulnerable to adversarial attacks, e.g. by perturbing the input slightly ML models can be […]

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Optimization of rice and other protein based extrusion encapsulation

The proposed project deals with the extrusion encapsulation of bioactive components using rice and corn protein based food matrix. It is well recognized that the performance properties of natural lake pigment encapsulated products are influenced by the structural properties of the matrix protein used for the extrusion encapsulation. The type, mixture and nature of proteins […]

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Thermal design of electric wheel integrated with hybrid battery pack

This project will integrate normal temperature battery (NTB) that is cheap but only can discharge above-20?, and low temperature battery (LTB) that is expensive but can work at -40? into an insulated housing with a smart hybrid battery management system. And a heat pipe with design trigger temperature will be integrated to the housing to […]

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Low Dose Computed Tomography Denoising Using Deep Learning

CT (Computed Tomography) scans are widely used medical images used to diagnose disease such as cancer. CT Scanners pass x-rays through the body in order to generate cross-sectional images. Unfortunately pro-longed exposure to radiation (via x-rays) can damage the body, and thus one aims to minimize the x-ray dose they receive. However, modern CT scanners […]

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Experimental investigation and validation of flow control device (FCD) performance and design in thermal oil production

Oil recovery processes use flow control devices (FCDs) to ensure uniforms flow of fluids with minimized potential for well failure. These devices operate by restricting the flow through nozzles causing its velocity and pressure to significantly change. For the flow to keep its momentum, its pressure has to drop which unfortunately increases the likelihood of […]

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Visualization of manufacturing complexity highlights on CAD file

Currently, the service provided by GRAD4 allows online storing and sharing of computer-aided design (CAD) models. However, there is no interface developed for visualization of CAD models in the service in a fast and comprehensible way to the users: both manufacturers and buyers. The main challenge of such implementations is in relatively high computational cost […]

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Visual Inspection UAV in Harsh Environments and Confined Spaces

Preforming regular visual inspections is essential in up keeping structures. These inspections are used to identify defects at an early stage before they pose a major threat. Unfortunately, these inspections require scaffolding or hiring a boom to access certain areas. Other areas are tight and put the worker at risk. The use of visual inspection […]

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A Photovoice Study of Settlement Experiences and Needs of Recent Immigrant Men in Central Alberta

Red Deer College, together with the Red Deer Local Immigration Partnership (RDLIP), received Mitacs Accelerate funding to research the settlement experiences of recent immigrant men to Central Alberta. There have been concerted efforts from the federal, provincial, and municipal governments to attract and retain newcomers in mid-size cities and rural communities in Canada; nevertheless, the […]

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IoT Big-data-based network performance analytics

The main objective of the project is to upgrade the existing system at Cheetah Networks to make use of Canadian cellular CAT M1 monitored network data to develop innovative QoE analytics that can be used to provide actionable insights. The system will explore applying new techniques to capture in real-time QoE visibility into experiences locally, […]

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Stories Incarnate: Using Body-tracking/Body-Sensing Technology to Create Interactive Narrative Experiences for Audiences

Ryerson’s Synaesthetic Media Lab is working with Cirque du Soleil Entertainment Group’s creative design studio, 4U2C, to develop several ways for audiences to meaningfully interact with live performance. This project is looking at how tracking sensors, computer vision, and digital displays can be used to track audience movements and/or emotions for audiences to be able […]

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