Ontology-based Middleware Services Facilitating Access to Data Sources

Many applications often need access to information from multiple independent data sources, including public sources found on the Internet and private sources e.g., hospitals. Software that sits between an application and the data sources, so called “middleware”, can help facilitate this access. However, development of this “middleware” can be very time consuming, is often only […]

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L2M-3Dimension Thermal Imaging System

This project addresses the main problem in utilizing Additive Manufacturing (AM) in industries like oil and sands and aerospace, which is the assurance of the quality of the part. This project is a novel approach to providing 3-dimensional thermal data from the 3D printing process, which can provide valuable data and allow engineers to delve […]

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L2M –Optical emission spectroscopy for quality monitoring and controlling in wire-arc directed energy deposition process.

The project aims to improve the quality of 3D-printed parts by developing an in-situ nondestructive method that combines spectroscopy with Wire-Arc Additive Manufacturing (WAAM). This involves using a spectrometer and developed algorithms to monitor the welding process, providing comprehensive material characterization during the 3D printing process. Implementing this in-situ sensor will improve process quality control […]

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L2M – VisioConTech

The proposed project, VisioConTech, aims to revolutionize construction site monitoring through the implementation of automated, real-time systems designed to enhance safety, reduce costs, and improve operational efficiency. Traditional monitoring methods, which rely heavily on human observation, are inherently prone to errors and delays, frequently resulting in significant budget overruns and heightened safety risks. VisioConTech leverages […]

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Gouvernance, démocratie participative et économie sociale et solidaire

L’organisation partenaire du projet se dénomme le TIESS (Territoires Innovants en Économie Sociale et Solidaire). Le TIESS est une OBNL dont la mission consiste à contribuer au développement territorial par le transfert de connaissances en outillant les organismes d’économie sociale et solidaire afin qu’ils puissent faire face aux enjeux de société de façon innovante et […]

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Restoring landscape heterogeneity to be resilient to wildfire: a simulation approach in dry forests of BC.

This project focuses on enhancing wildfire resilience in the southern Okanagan Highlands of British Columbia to reduce the risk and severity of wildfires. By combining fire spread and carbon budget models, we will evaluate different forest management strategies to lower fuel loads and greenhouse gas emissions. Partnering with Forsite Consultants Ltd. will help us apply […]

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Real-time visual feedback in swimming – FORM Swim Goggles (2)

The partner sells smart swim goggles. The goggles measure several variables such as stroke, swim speed, and heart rate, and project the information into the goggle lens to provide real-time feedback to the swimmer. The challenge the partner faces is to scientifically validate the instrumentation and application of the goggles to assisting swimmers in optimizing […]

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L2M – WAAM Sensor-fusion based deposition system

We have developed our sensing suite, which we use to acquire, record, retrieve, and process the in-situ process data during the wire-arc additive manufacturing process or welding process. The objective of this project is to contact the industry and do customer discovery and surveys from the industry to tailor and tweak the sensing suite to […]

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L2M – Autonomous Wildfire Aerial Control Solution

We address the limitations and hazards of current wildfire detection and suppression methods, focusing initially on Alberta’s boreal zone. Alberta Wildfire uses aircraft, helicopters, specialized equipment, and trained personnel, but these methods have critical drawbacks. Crewed aerial systems cannot operate 24/7, leaving gaps when fires can go undetected. Additionally, deploying personnel is expensive and not […]

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