Intelligent surveillance for event detection

We aim to develop a video surveillance system that detects and reports events of interest to users. Traditional way is to use RGB cameras to operate in constantly and evenly illuminated areas to detect simple events. The challenge is that visual characteristics of an unconstrained scene are unstable due to illumination variations. In this project, […]

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Performance Evaluation of Timber I-Joists with Web Holes and Flange Notches – Experimental and Numerical Study

I-joists are composite timber beams mainly used in roof and flooring systems. They consist of oriented strand board (OSB) webs and timber flanges. For post-construction purposes, these beams are often drilled in the web or notched through the flange in order to pass the electrical/mechanical facilities through the openings. This can result in a significantly […]

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Innovative Financing for Energy Access – The Role of Finance and Energy Service Companies in Promoting Energy Development

The proposed postdoctoral research focuses on addressing the challenges associated with energy access in developing countries as well as promoting energy-independent communities in Canada in a bid to promote sustainable development. The study would investigate a consortium-like financing model for small and medium scale renewable energy projects in which energy service companies are financed by […]

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Appariement hétérogène entre nuage de points LiDAR et images SAL : vers une nouvelle méthodologie de calibrage

Depuis 2011, une plateforme SAL (Synthetic Aperture Ladar) a été développée et testée en laboratoire à l’Institut National d’Optique (INO). L’INO souhaite maintenant évaluer la possibilité d’utiliser un tel système d’acquisition pour des applications réelles de cartographie urbaine, notamment de modélisation 3D intérieure. Actuellement, les balayeurs laser (i.e. LiDAR) sont couramment exploités pour réaliser de […]

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Refinement of a Bioelectric Sensor to achieve real-time quantification of BOD

The necessity of cost-efficient and reliable wastewater treatment processes has increased in order to meet more stringent levels of environmental regulations, increased system reliability requirements and tightening operational budgets. To aid in meeting these operational goals, a strong market for low-cost, high-fidelity sensor technology that can relay real-time information to system operators on all aspects […]

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Protection and control of hybrid LCC-VSC multi-terminal HVDC transmission systems against DC faults

Two High Voltage DC (HVDC) transmission technologies, the mature Line Commutated Converter (LCC) and newer Voltage Source Converter (VSC) technologies have their own pros and cons. For a HVDC transmission system carrying power from a single generation center to multiple load centers, by using a multi-terminal LCC-VSC type hybrid HVDC configuration, advantages of both technologies […]

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The Perceived Use of Electronic Identification-Based Wearables in Medication Administration in Long-Term Care

Medication errors are common in long-term care homes, as older adults are at an increased-risk of experiencing medication errors. Additionally, most older adults living in long-term care homes have dementia, and few can identify themselves; this increases the risk of a medication error. Tap2Tag Medical Ltd. offers the Tap2Tag Medical Alert Bracelet. The bracelet encompasses […]

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Improving obesity prevention and management in primary care: Patient experience of personalized assessment and care planning and impacts on patient self-management

Over 14 million Canadians live with overweight or obesity. Patients want conversations with their primary care team about weight and create personalized plans to improve their health. Primary care clinicians want to have these conversations too, but don’t know how. This project partners with an interdisciplinary primary care team (ESPCN) and the Canadian Obesity Network […]

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Profiling vendors and products using temporal machine learning

Atlantic Lottery Corporation is owned by four Atlantic provinces. The profits generated by the corporation go back to the provincial general funds for the betterment of the community. A primary goal of the project is to improve the profits of the corporation through suggesting more efficient logistical planning. The corporation’s data mining and knowledge discovery […]

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Forêt s’Adapter : Pour le développement d’une sylviculture favorisant l’adaptation des forêts de la Vallée du Haut-St-Laurent aux changements globaux

Au Canada, la forêt privée joue un rôle fondamental dans le fonctionnement des paysages agro-forestiers en procurant d’importants biens et services tant aux propriétaires des boisés qu’à leurs communautés environnantes. Ces forêts devront faire face à des conditions futures incertaines causées par les changements globaux, comme c’est le cas pour les forêts de la Vallée […]

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Applying Deep Learning to Optimize 3D Pose Estimation from Monocular Video

REP is an athlete development platform for building better, and healthier athletes. Inside the REP platform are computer algorithms that can “see” how people move, and the accurately estimate how they are moving in three dimensions. The REP platform can then compare models of how you move, to models of how experts move. This comparison […]

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