Online multiplayer videogames are popular because most of their content is generated by interactions among players and thus extremely dynamic. Predicting players’ behaviour in these games is necessary to better design and maintain the game environment and to keep the players engaged in the game. These predictions are difficult because a player’s behaviour varies as […]

A true blind party is a service provider that does not have access to unencrypted data of its clients. We note that, in such an environment, the client must securely maintain the many keys that may be required for the files. In addition, if there are collaborating organizations, the client must securely deliver the appropriate […]

Online multiplayer videogames are popular because most of their content is generated by interactions among players and thus extremely dynamic. Predicting players’ behaviour in these games is necessary to better design and maintain the game environment and to keep the players engaged in the game. These predictions are difficult because a player’s behaviour varies as […]

Office 365 est une plateforme infonuagique de Microsoft qui regroupe plusieurs services très populaires tels que Word, Excel, Outlook, OneDrive, Teams. Sherweb, une entreprise de Sherbrooke, offre un produit appelé Office Protect qui permet détecter des activités anormales dans Office365. Office Protect est complémentaire aux services de surveillance offerts par Microsoft et il est mieux […]

Canada ambitions to achieve a deep decarbonization of its economy by 2050, with a reduction of its greenhouse gas (GHG) emissions up to 90% relative to their 2005 levels. Such a transition from the current situation will have important impacts in particular on its energy sector. In this context, SIEMENS Canada, a manufacturer of energy […]

Approximately 70% of data collected by ITOps is not actionable, either due to lack of timeliness or context, and real-time normalized data stored in a data lake is needed to produce actionable data. Also, AIOps tools are often poorly configured and lead to alert fatigue. The benefit to the partner organization is that they will […]

Present navigation applications rely mostly on the integration of Global Navigation Satellite Systems (GNSS) and Inertial Navigation Systems (INS). However, GNSS signals are prone to interruption due to various disturbances, including signal interference and jamming. On the other hand, Low Earth Orbit (LEO) satellite constellations from several providers are becoming rapidly accessible. LEO-based communication systems […]

Present navigation applications rely mostly on the integration of Global Navigation Satellite Systems (GNSS) and Inertial Navigation Systems (INS). However, GNSS signals are prone to interruption due to various disturbances, including signal interference and jamming. On the other hand, Low Earth Orbit (LEO) satellite constellations from several providers are becoming rapidly accessible. LEO-based communication systems […]

Open, digital scholarship in the Arts and Humanities is significant as a mechanism of Canada’s growing digital scholarly infrastructure for facilitating public access and engagement with research. But the path to adopting open, digital scholarship on a national scale has been challenging. Academic organizations like the not-for-profit Iter Canada are committed to facilitating the engagement […]

The Nova Scotia Municipality of Argyle is exploring the potential of establishing the province’s first shellfish Aquaculture Development Area (ADA) in Lobster Bay. If an ADA is approved, individual site and lease applications benefit from an expedited licensing process. Spatial marine planning is required for ADA approval and must consider oceanographic data, ecological data, and […]

This project aims to develop and validate markers for adaptive neurological performance therapies for persons with moderate-to severe traumatic brain injury (m/sTBI), with the purpose to further develop clinical paradigms for at-risk populations. In order to accomplish this, we have formed a collaboration between two Universities (Université Laval and McGill University) and two industrial partners […]

Our aim is to use machine-learning to improve treatment of post-surgical pain in children and adults. Most people addicted to opioids were initially exposed through the treatment of pain from trauma and/or surgery. The opioid crisis is reaching the pediatric population, in whom effective post-surgical pain management, with less reliance on prescription of opioids, is […]