Feasibility assessment and development of knowledge, technology, and tools for mercaptan natural gas odorant monitoring

FortisBC Energy Inc. is exploring novel technologies and methods for mercaptan monitoring to detect natural gas leakage in industrial, field, and household settings. Since commercial mercaptan detectors are bulky and expensive, there is a need for low-cost and miniaturized mercaptan detectors. The proposed project will lead to the development of a handheld mercaptan detector which […]

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Novel sensing and actuating technology for gaseous fuel systems

The participants listed below confirm that the information presented accurately reflects their intention to apply to the Mitacs Accelerate program. The participants have also agreed to set in place an internship based upon the attached proposal. The participants acknowledge that they have read, understood and agreed to abide by and uphold the Project Responsibilities applicable […]

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Hard Anodising of A205 Aluminum Alloy

The future of aerospace technology relies on us investing in lighter, more fuel-efficient materials that can operate at hotter temperature with greater corrosion resistance. One such alloy that has the potential to meet these needs is the new aluminum alloy A205. In this work we aim to develop a hard anodising process for the A205 […]

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Improving Service Life of Graphite Component Through Advanced Coating

Kelvin Thermal Storage is developing a technology to convert the inexpensive, off-peak/excess or renewable energy into a thermal energy. The technology uses graphite as the heat storage media and carbon composites as heating elements. In order to protect the carbon based components from oxidation by the heat-carrying media (an inert gas containing trace amounts of […]

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Development of a microfluidic point-of-care diagnostic device for the discrimination between viral and bacterial infections as a means to reduce antibiotic resistance

The discrimination between viral and bacterial infections has long been a goal in the field of point-of-care (PoC) diagnostics. Such a diagnostic tool would prevent the over-prescription of antibiotics, a leading cause of antimicrobial resistance. Current standard methods involve sending patient samples (throat swabs, blood, urine) to specialized clinical labs. This usually involves expensive and […]

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A comparative study of microwave-assisted rock fragmentation versus other explosive-free rock breakage technologies

The conventional mining method relies on drilling into a mass of rock, filling the holes with explosive materials, and blasting them. This process leads to extracting the valuable minerals out of mines. But blasting operation can cause several environmental issues like dust generation, ground vibration and so force. Additionally, there are some rich resources that […]

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Deep-Learning for Distributed Intelligent Systems with Applications in Robotics and Computer Vision

Agile manufacturing via adaptive robots is the provision of Industry 4.0 for advanced manufacturing that enables more efficient, lean and cost-effective production. It is considered to be the ultimate solution for mass customization of many manufacturing industries such as aerospace industry hindered by their heavy reliance on manual labor. The current practice of programming a […]

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Automating Configuration Management and Deployment in Large-scale Data Centers Augmented with Edge Data Centers – Year two

Data centers are now growing and expanding massively. They are large scale and heterogeneous. In addition, they rely more and more on emerging technologies such as Software Defined Networking (SDN) and Network Functions Virtualization (NFV) with “network softwarization” as their key feature. Moreover, they are now being augmented with edge data centers rooted in concepts […]

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Identifying Questions for Game-Based Learning through Deep Learning

Game-based learning tools often make use of questions to measure and encourage learning, but generating questions can be challenging, especially at the scale that companies like Axonify are required to do. In this project, the intern will design, implement, and evaluate a system that can apply machine-learning on a corpus of text (e.g., a textbook) […]

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Automated Identification, Classification, and Measurements of Pipe SurfaceDefects in Different Manufacturing Steps at Evraz

This research project focuses on Identification, Classification, and Measurement (ICM) of defects in different manufacturing steps at Evraz. Images/videos of the defects will be collected by a combination of the existing pipe inspection systems in use at Evraz and also the robotic system, equipped with a camera vision, to be completed in this project. Also, […]

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