L’aérodynamique et la stabilité sont deux éléments importants pour les hydroplanes qui sont des bateaux de course conçus pour voler au-dessus de l’eau. À grandes vitesses, l’air s’engouffre dans le tunnel formé sous l’hydroplane, ce qui soulève le bateau, réduisant la friction avec les vagues. Cependant, cela peut également conduire à une détérioration des caractéristiques […]

Instrumar Limited’s core technology platform is based on the measurement of electrical properties of materials that come in contact with its sensor. The sensor generates a tightly confined electromagnetic field that detects the properties as material enters this field. The sensor is sensitive to the amount, the shape, its density, temperature, conductivity, impurities, moisture content […]

Online banking and cashless payment options are seemingly everywhere but remain difficult or inaccessible to many Canadians. Much is already known for how to make these systems work better for a broader range of citizens, but this know-how is spread across many documents and reports, limiting its ability to guide the design of new systems. […]

Ce projet est lié à la Chaire de recherche industrielle du CRSNG en fabrication de composantes aérospatiales en matériaux composites (AéroComp). Les nouveaux marchés aéronautiques, la mobilité urbaine et la conjoncture actuelle présentent des perspectives d’évolution à l’industrie des matériaux composites pour l’aérospatial. La compétition internationale est grandissante et cette industrie canadienne enracinée au Québec […]

Climate change is affecting BC farmers, with associated impacts to food security, community economic development, business risk management programs, and trade and innovation. With some of the oldest farmers in Canada, BC’s farmers also experience some of the lowest incomes in Canada. The Province has an urgent need to encourage both new entrants and existing […]

In this project we aim to evaluate the potential to effectively predict and prevent the occurrence of obstructive sleep apnea during sleep therapy using multiple sensor inputs in conventional CPAP machines. This will be based on experimental tests during both non-REM and REM sleep and standard polysomnography (PSG) measurements. This project is expected to assess […]

Efforts to sequester atmospheric carbon in soil require effective monitoring methods. Soil water content confounds the conventional application of infrared absorption. Raman spectroscopy contends well with water, but suffers from the overwhelming fluorescence typically encountered in the analysis of soil samples. Here we propose to combine an modulated two-colour illumination scheme with antiphase lock-in detection […]

Skilled Accents is a social enterprise that is providing employment to refugee women in London, Ontario to create unique and decorative pillows and other decor products from upcycled fabric, sourced from local drapery and furniture stores. Their vision is to reduce unemployment in the visible minority communities, while saving the environment from fabric waste. Skilled […]

Optima Analytics Inc. is a Canadian small business with the goal of empowering its clients with tailored AI and analytical solutions. As a response to COVID-19 and similar emergencies, Optima Analytics team work on a research and technology development project in the form of an Emergency Response Bank Platform (ERBP). That project builds a system […]

Climate Change (CC) mitigation and reduction requires a strong effort to develop and put into use clean energy options that significantly reduce anthropogenic CO2 emissions. In Canada, the transportation sector accounts for 25% of all emissions. Hydrogen fueled vehicles is one option that has a great potential to reduce Canadian and global CO2 fuel emissions. […]

L’objectif du projet est de détecter rapidement des bris dans les bornes de recharge rapide. Pour ce faire, nous devrons extraire des données actuellement stockées dans des fichiers et ensuite les analyser à l’aide de l’apprentissage automatique. Finalement, pour les bris détectés, nous tenterons de trouver les facteurs les expliquant le mieux possible. Pour les […]

Quantum Machine Learning is an emerging field of science, exploring the role that quantum computers can play when combined with machine learning models and methods. Within this field, kernel methods have quickly become one of the most promising and exciting techniques to show benefits in performance, even when using the current primitive quantum computers that […]