An embedded electronic system with GPS and GSM modules and a unique power supply will be developed for installation on a bike frame which cannot be tampered with. The system will allow the owner to receive notifications of a theft and to track the bike’s movement and location. This information can be passed to the […]

The proposed research will identify the dominant drivers of rising chloride concentrations in streams within the Toronto and Region Conservation Authority (TRCA) jurisdiction. The TRCA monitors stream water quality at 47 stations and data suggest that chloride concentrations are increasing. Previous research has identified urban growth and the subsequent application of road salt in wintertime […]

Maintenir des surfaces vieilles forêts suffisantes au sein des territoires aménagés est désormais un enjeu majeur de gestion forestière au Canada. Peu de connaissances sont actuellement disponibles sur l’importance de la diversité interne d’habitat que l’on trouve au sein des vieilles forêts pour la biodiversité qui leur est associée. L’objectif de ce projet vise donc […]

The internet has become a critical resource central to the provision of nearly every essential service, whether related to business, employment, social support, government, education, health, food, or leisure. As such, it is increasingly difficult for individuals who lack reliable, regular access to the internet to fully participate in society and obtain critical information. To […]

Whey and milk ultrafiltration (UF) permeate are usually considered as environmental pollutants due to their elevated organic load. Increase of whey production owing to high demand of milk-derived products creates a huge disposal problem for dairy industries. The conversion of lactose, which is main component of whey and milk UF permeate, to value-added ingredients is […]

Les caméras pour imagerie à faible flux lumineux sont utilisées tant pour la recherche biomédicale que pour l’astronomie. Toutefois, lorsque les photons se font rare, il est nécessaire de refroidir l’enceinte de la caméra à très basse température pour réduire le bruit thermique. Il faut aussi amplifier le signal grâce à l’électronique embarqué dans le […]

Les outils basés sur l’intelligence artificielle sont de plus en plus utilisés dans des contextes d’inspection d’infrastructures, où un expert devait normalement passer beaucoup de temps à manuellement visiter puis annoter les portions problématiques. Un problème persiste toutefois pour leur applicabilité : la quantité de supervision requise pour entraîner ces méthodes d’IA. Le projet proposé […]

L’intelligence artificielle (IA) commence à être déployée dans le domaine du contrôle non destructif. Il s’agit d’analyser, par intelligence artificielle, de grandes quantités de données, notamment ultrasonores (ce sont des échographies de matériaux métalliques, composites ou autres), pour y détecter des défauts de fabrication ou d’usure (par exemple des trous, de la corrosion, etc.). L’application […]

The Fundamental Review of the Trading Book (FRTB) is a set of regulations by the Basel committee, which is expected to be implemented by banks by 2022. The regulation targets market risk management in banking industry. According to FRTB, banks need to post extra capital against non-modellable risk factors, which could account for 30% of […]

This project involves the feasibility study of specific community microgrid technologies for the development of a Smart Community in London, Ontario by SE2 Technologies Inc. A first of its kind, such a community will represent a learning platform for universities and other cities in Canada. The smart community will consist of a minimum of 50 […]

The goal for this project is to support the research of three master’s students whose work would help advance the methods for estimating – using energy-economy-emissions models – the likely emissions, economic and equity impacts of GHG-reducing policies by governments at three levels in Canada: federal, provincial-territorial, municipal. The modelling innovations and applications from these […]

Computer vision systems are a key component for autonomous vehicles and driver assistance. To be robust, such systems must be able to handle challenging conditions such as night driving and rain. Previously Algolux proposed multimodal sensor fusion using RGB, gated and lidar for robust object detection and dense depth estimation under low light and adverse […]