This project is to develop fall prevention system for long term care facility. The system will consist of many room sensory units, centralized alarm, monitoring, and responding server application, and many mobile monitoring and responding units. The room sensory units will be placed or installed in rooms where the residences are needed to be monitored […]

G networks have emerged as a promising solution for Mobile Network Operators (MNOs) to offer ultra-fast mobile broadband and ultra-low latency services with exceptional reliability for consumers. By leveraging softwarization, Software-Defined Networking (SDN) and Network Function Virtualization (NFV), MNOs can offset the high capital and operational expenditures incurred due the additional deployment of legacy equipment. […]

G networks have emerged as a promising solution for Mobile Network Operators (MNOs) to offer ultra-fast mobile broadband and ultra-low latency services with exceptional reliability for consumers. By leveraging softwarization, Software-Defined Networking (SDN) and Network Function Virtualization (NFV), MNOs can offset the high capital and operational expenditures incurred due the additional deployment of legacy equipment. […]

En recherche académique, les besoins d’analyse des chercheurs dépassent souvent les capacités de leurs ordinateurs à effectuer ces analyses. Calcul Canada est un organisme qui s’assure que les chercheurs canadiens puissent avoir un accès gratuit à des serveurs de calcul performants à la grandeur du pays. Nous tenons non seulement à un accès équitable aux […]

L’opération d’emballage dans des sacs flexibles de produits en vrac est utilisée au quotidien par l’industrie agroalimentaire. Cependant, un défaut de fermeture d’un des sacs présents sur une palette entraine la perte de toute la palette pour garantir les normes d’hygiènes. Le but du projet est de proposer une solution qui permet de détecter les […]

This research project aims at applying machine learning over the existing financial forecasting methods currently employed in the commercial real estate industry. Businesses are actively collecting more data than what can be analyzed effectively using the standard spreadsheet models which have become industry standard over the past few decades. Machine learning algorithms are known to […]

This project develops a new project management method for software development targeting next-generation network providing unprecedented quality of cellular service to Canadians and small and medium businesses, stimulating innovations and improving the quality of life of our people. Relying on the ENCQOR infrastructure, which is the first 5G network in Canada supported by three governments […]

This Phase I proposal is intended to undertake a requirements-gathering and an initial system design for a system that exploits the integrity guarantees of blockchain technology and the high throughput capability of commercial/open source transactional database management systems (DBMS). Although current approaches will be a part of the solution, innovation is required to allow for […]

For both aircraft assembly and maintenance, mechanics need to quickly access information about parts and determine part numbers. Part numbers can be retrieved from 3D models of the aircraft but locating such models within an airplane is very difficult, particularly on small mobile devices. An additional complication is that the objects to be recognized are […]

The main objective of the project is to upgrade the existing system at Gnowit to create a complex self learning automated decision support system. The system(crawlers) will automatically collect all the data related to any company, political system or a specific entity from the articles, blogs and reviews and create a more actionable report. The […]

Ce projet vise à développer et approfondir les connaissances et techniques nécessaires à la mise en oeuvre des algorithmes d’intelligence artificielle sur des données issues du monde réel. En partenariat avec de multiples acteurs industriels de la grande région de Québec, la Faculté de Science et Génie de l’université Laval, au travers de ses étudiants […]

It is not fully understood how structural brain connectivities give rise to functional brain connectivities. The objective of this project is to apply Deep Learning and Machine Learning techniques to explore the complex relationship between structural and functional brain connectivities and accurately describe this important structure-function relationship. A linear brain dynamic network model will be […]