Digital Twin for Proactive Maintenance of Data Centre

The data centre management is paramount to ensure the uptime operation. This research aims to develop a digital twin platform using the industrial Internet of Things, edge and cloud computing, and artificial intelligence for predictive maintenance of data centre. The facilitate maintenance scheduling and data centre energy consumption could be further optimized through the digital […]

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Quantifying diaphragm perfusion in humans: A novel application of contrast-enhanced ultrasound

As oxygen demand increases (e.g., exercise), the availability of oxygen decreases (e.g., high altitude) or cardiopulmonary function is impaired (e.g., respiratory disease), our cardiopulmonary system works at a greater percentage of its maximal capacity to supply oxygenated blood to tissues. Currently, there is no reliable way of determining the blood flow to the respiratory muscles. […]

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Investigating social-ecological enabling conditions for the revitalization of Indigenous clam management systems in an urban context

The general objective of the proposed activity is to increase the future productivity of Burrard Inlet and the contribution of seafood to the diet of Tsleil-Waututh Nation (TWN) members in support of the TWN Cumulative Effects Monitoring Initiative. Specifically, we propose to identify the primary environmental drivers of clam productivity and species composition in Burrard […]

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Temporary Migrant Farmworkers in Essex County: Building Community Inclusion in a Post-COVID-19 Context

Temporary migrant farm workers make essential contributions to our national food supplies as evidenced during COVID-19. Their exclusion from rights to labour mobility, family unity and the absence of systemic supports, however, undermines workers’ wellbeing and belonging, and the inclusions to which migrant workers are entitled. There is less attention to how communities support their […]

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Digital data: linking rural innovation, access, and resiliency through community hubs

Online Digital Hubs (ODH) have the capacity to promote resiliency and connectivity, countering barriers to accessibility and disruption (Lamport-Lewis & Deacon 2020; McShane et.al 2012; Rundel et.al 2020). This is of particular relevance in rural and peri-rural spaces as traditional third spaces such as churches and community centers are in decline, taking with it opportunity […]

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4G Cellular Trespasser Detection System for Farms

There is a strong demand for effective means to detect and record trespass activities onto farm properties, which cost the agriculture industry many hundreds of millions of dollars each year. The goal of the project is to design and develop a trespasser detection system based on the presence of a human being carrying a cell […]

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Magnetic resonance imaging (MRI) thermometry

We are creating a powerful tool for improvements in surgeries of the brain and spine. A new magnetic resonance imaging (MRI) machine will be used inside operating rooms so patients undergoing surgery can be imaged in the middle of the surgery for quality control. For instance, surgeons can obtain an MRI to ensure the entire […]

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Battery Management System for Lithium Polymer and Solid-State Batteries

Energy storage systems (ESS) are vital components in the power grid to ensure the reliable performance of the power grid integrated a considerable amount of renewable energy resources (DER). ESSs are employed to compensate for the unexpected changes in DERs and shift load during peak hours. ESSs are complex structures consisting of several series and […]

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Are playgrounds really for everyone? Disabled children’s experiences at playgrounds designed for inclusion

negative attitudes toward disability. To address the exclusion that disabled children and their families often experience on playgrounds, inclusive playground initiatives have become increasingly common, promising accessibility, fun, and belonging for kids and families. Despite the advancement in inclusive playground design, there is recent research evidence to suggest that disabled children and their families continue […]

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Optimizing return on investment using artificial intelligence: A recommendation system-based solution

The main goal of this project is to develop an artificial intelligence based approach for recommendation to improve Videotron marketing solutions. We aim to focus on improving Vidéotron return on investment (ROI), engaging more users and retaining subscribers using advanced artificial intelligence techniques. The proposed system will be based on a collaborative filtering technique that […]

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Improving the tools for assessment and analysis of energy losses through building envelopes using Infrared Thermography (IRT), Unmanned Aerial Systems (UAV), and Artificial Intelligence (AI)

IR imaging presents the temperature distribution of the exterior surface of a wall and is typically assessed through visual inspection by building science experts. A specialist must review numerous images one by one which is inefficient and inaccurate. The use of Unmanned Aerial Vehicles (UAVs) with IR camera attachments has become a method of faster […]

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