Accelerated and sensitive detection of (bio)chemical analytes through active capture on Surface-enhanced Raman scattering (SERS) chips

Surface enhanced Raman scattering (SERS) is emerging as a promising technique for rapid, ultrasensitive and highly specific (bio)chemical detection. SERS has been successfully used for the detection of minute quantities of illicit drugs, food contaminants, environmental pollutants, even bacteria and viruses. Unfortunately, like most other surface-based detection methods, SERS also suffers from the same bottleneck, […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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 […]

Read More
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. […]

Read More
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 […]

Read More