Development of a technique for radioactive source term detection and realtime analysis for low-level radioactive waste

Nuclear power currently provides approximately 50% of Ontario’s electricity. Operation of nuclear power plants produces a variety of radioactive waste. In particular, low-level radioactive waste makes up about 95% of total non-fuel waste volumes. To reduce volume, low-level materials must be sorted to determine if their radioactivity has sufficiently decayed and they can be safely […]

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Intelligent Drowsiness Prognosis Using Chaos Theory

Drowsiness is considered the foremost cause of accidents in the mining industry. Studies estimate that up to 65% of annual accidents in mines are related to drowsiness. The total loss to the company’s assets is around $22.6 billion and operator lives are not replaceable. The lack of real-time drowsiness monitoring and prognosis in the mining […]

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‘A Strategic Plan to Improve Indigenous Housing in British Columbia’

This study aims to understand the ways in which Indigenous Housing can be improved in British Columbia, by identifying strategies to best support the Indigenous Housing providers. This research includes the exploration of the capacity needed at Indigenous housing organizations in order to satisfy the needs of urban and rural Indigenous Peoples as well as […]

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Méthode algorithmique d’apprentissage pour améliorer l’impact de systèmes de dialogue

Le stagiaire entreprendra la tâche d’améliorer la robustesse des systèmes de dialogue de la Banque nationale. Afin qu’un système de dialogue soit apprécié par les utilisateurs, il est primordial que cette technologie réponde de façon appropriée à une question. Une erreur propagera de la fausse information et diminuera la crédibilité de l’organisation, deux graves problèmes. […]

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Spatially-aware lighting estimation

We present a method for automatically estimating the lighting conditions from a single image. As opposed to most previous works which proposed methods that estimate only global lighting or use a limited illumination representation (low frequency SSH, parametric model), the proposed method attempt to use a new spatially-varying light representation with realist texture to render […]

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Linking hands-on learning education program and internship: A cooperative education to apply the forest inventory theories learned in the classroom to industry practice

Interns will participate in forest growth and yield (G&Y) research projects. G&Y studies are used to assess the impacts of forest management practices and to set harvest levels to safeguard sustainability. Conducting G&Y studies is a foundational skill provided by contractors or undertaken directly by forest companies or regulators who require the information. This work […]

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Assessing Canadian Real-estate Stock for Sustainable Futures

Canada is one of the nations that committed towards mitigation of climate change and the Paris climate goals, which mandates major actions to modify the current GHG emissions in the Canadian context. Buildings are the primary consumers of Canada’s produced energy and one of the major GHG contributors. This project aims at assessing the possibility […]

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Les conséquences de la pandémie de COVID-19 sur la santé des étudiants et des employés universitaires : état de la situation et pistes de solution

En raison de la propagation mondiale de la COVID-19, le directeur général de l’OMS a décrété le 11 mars 2020 l’état de pandémie. Les populations scolaires, notamment universitaires, ont été les premières à être affectées par des fermetures d’établissement le 13 mars 2020. Des solutions d’urgence ont alors été mises en œuvre au sein des […]

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Improving technology for identifying environmental microplastics with machine learning

The average human consumes a credit card worth of plastic every week as a result of environmental microplastics. The tools and technology that are currently used to analyze chemical compound structures to identify polymer types in microplastics research are not well-calibrated for field-specific use. Raman spectroscopy data from microplastics samples is imperfect. Furthermore, plastics that […]

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