An electrochemical microfluidic sensor for cannabinoid detection

Cannabis legalization creates a pressing need to improve existing screening methods. Currently, the two devices approved by the office other the attorney general of Canada (i.e. the Drager 5000 and SoToxa) have not been embraced by the vast majority of police forces who deemed both options unaffordable, difficult to use and inaccurate. The present project […]

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Virtual Energy Analysts & Transitioning Commercial Buildings to Net Zero

Owners of large commercial and institutional buildings are looking for ways to cut operating costs, reduce emissions, and green their operations. To make this process quicker, more responsive, and lower-cost, Edge Energy Technologies is developing a Virtual Energy Analyst Service. The goal of the service is to use real-time data to inform analysis of building […]

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Battery pack thermal prediction and fault detection using machine learning

This project aims to use machine learning to determine the thermal state of a battery pack used in electrical vehicles. In fact, battery pack are made of numerous individual cells, and it is essential to monitor their respective state to ensure the battery pack operates in ideal conditions. By doing so, the autonomy of the […]

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Développement de solutions industrielles pour le traitement laser de surfaces métalliques

Le traitement des surfaces est une pratique courante dans l’industrie manufacturière afin d’améliorer les propriétés mécaniques des pièces. Cette technique est particulièrement exploitée dans l’industrie automobile, où les surfaces de pièces risquent d’être endommagées. Les traitements couramment utilisés sont souvent complexes, aléatoires et dommageables pour la surface traitée. Le traitement par laser est ainsi une […]

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Application of time-frequency based techniques to assess Auditory Brainstem Responses in newborn hearing assessment

Automatic detection and classification of the Auditory Brainstem Responses (ABR) is used in newborn hearing screening. Improved detection algorithms will reduce test time, prevent infants with hearing loss from being missed while reducing the number of normal hearing babies referred to diagnostic testing. We have already improved the objectivity of ABR classification in neurological assessments […]

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Investigation of microwave imaging techniques for monitoring grain bins

Microwave Tomography (MWT) is an emerging modality where the goal is to estimate the electrical properties of an object-of-interest. This is done by transmitting a microwave signal into the OI and collecting measurements outside the OI. The measurements are inputs to an optimization algorithm that solves for the unknown electrical properties. As this modality has […]

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Helping Ontario Meet its Environmental Goals- Hydrogen Adoption report for Ontario

Hydrogen technology in Ontario has incredible potential as an alternative energy source that can eliminate the use of harmful fuels and greatly reduce greenhouse gas emissions. Canada is currently developing a nation-wide strategy to increase the adoption of hydrogen technology; however, Ontario is underrepresented in this discussion. Science Concepts International will work with its interns […]

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Évaluation des processus dominant le comportement géochimique de résidus miniers en conditions restaurée et non-restaurée par la modélisation de transport réactif (partie 2)

Les résidus de la Mine Raglan contiennent des minéraux pouvant réagir avec l’eau et l’air et potentiellement produire un drainage acide et riche en métaux s’ils ne sont pas gérés d’une manière optimale. Des essais au laboratoire ont permis de déterminer la qualité d’eau qu’ils produisent et leur comportement géochimique. La présente étude vise à […]

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Improving the Accuracy of Satellite-to-Irradiance Models

With improvements in photovoltaic performance and price drops, solar energy will soon become cheaper than many traditional sources. Irradiance-the amount of solar energy reaching the Earth-is key In feasibility studies of solar energy systems. Over 20 years of archival satellite imagery enable us to generate long-term data series to better understand climatic averages of irradiance. […]

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HI-DSR: Hyperspectral Images enhancement via Deep Sparse Representation model

The current non-destructive and fast method of hyperspectral imaging technology are used for different application from remote sensing to medical imaging and food processing. Due to the nature of acquired data which are massive as well as physical consideration depend on the type of application, the careful, fast and accurate data analysis is mandatory to […]

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Investigation of Enhanced Superplastic Behaviour of AA5083 Aluminum Sheet for Vehicle Weight Reduction

Large automotive body panels are currently manufactured by heating aluminum sheets and pressurizing them into a die. However, this superplastic forming process requires long cycle times to avoid tearing the sheet. Preliminary work has demonstrated that by applying small pressure oscillations in addition to the increasing base line pressure a significant increase in the formability […]

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