The project is concerned with delivering a real-world joint perception prediction and tracking system that outperforms the current system implemented in the Uber ATG software stack. This will be achieved by implementing a production version of a state-of-the-art academic paper developed by the research team, testing it against real world scenarios, and then modifying the […]

Avec l’avènement des véhicules électriques et les énergies photovoltaïques sur les réseaux électriques, il est maintenant requis de convertir l’énergie sous différentes formes. Cette conversion s’effectue par l’utilisation de convertisseurs de puissance qui permettent de relier les différents éléments sur le réseau (batteries d’auto, cellules photovoltaïques,…) Comme élément de contrôle principal, ces convertisseurs utilisent des […]

This research supports the T’Sou-ke Nation to re-establish connections with culturally important native plant species cultivated and stewarded by traditional T’Sou-ke peoples for food, medicine and technology and to store this information in database and maps. The product of this research will be accessed when T’Sou-ke consider both large, economic development projects proposed within their […]

In the MRI-guided stereotactic surgery, a robotic system is applied to assist the efficient workflow, process accuracy and safety. An important issue in the robot system is that the MRI closed-hole design limits its dimensional requirements and flexibility. In this project, a conceptual design will be proposed to reduce the robot size and increase its […]

Nuclear transfer is a technique to clone animals of the same trait and it is industrially very valuable to clone animals of excellent traits. However, there is no standardized technology to secure, store and supply enough quantities of superior genetics to clone elite farm animals so it has limitation to use in industry field. Although […]

With increased levels of series compensation of transmission lines (Which is the most economical solution for bulk power transmission over long distances) and with more power electronic controllers such as HVDC, FACTS and converter based distributed generation in the power network, Sub Synchronous Interaction (SSI) problems arise. It is necessary to identify different types of […]

Artificial Intelligence (AI) research has grown rapidly in recent years as the result of faster computers and better algorithms. AI models can be trained to automate the decision process and provide results. However, if the model is not properly or sufficiently trained, the outcome will likely be unpredictable and inaccurate. Besides, training data is not […]

L’évolution technologique révolutionne les processus administratifs dans les banques et les assurances, mais entraîne également de nouveaux défis, en particulier au niveau de la reconnaissance de l’écriture manuscrite et imprimée dans les documents qui doivent être numérisés pour extraire automatiquement l’information pertinente. Les systèmes de dialogues automatisés connaissent également un succès grandissant, grâce à l’utilisation […]

SMA is a neurodegenerative disease characterised by the loss of lower motor neurons and is an incurable disease. SMA is the leading genetic cause of early childhood lethality, with an incidence of 1 in 6,000 to 10,000 live births and a carrier frequency of 1 in 35-40. Current therapeutic strategies under development are almost exclusively […]

Digital Medical Experts Inc. (DME) is a Canadian start-up company in the business of developing cloud-based point-of-care monitoring systems for the management of psychiatric illnesses. DME has developed algorithms to diagnose and predict optimal treatment for major depression disorder and schizophrenia, and has been allowed patents describing its technology in Canada, the USA, and Australia. […]

Modern roundabouts have become a subject of great interest and attention over the last few years considering their potential to reduce vehicular delay & emissions and increase safety. The objectives of this study to examine the short- and long-term benefits performance of roundabouts from a multi-modal perspective. Using real observed data from vehicular traffic, pedestrians, […]

The existing PanSharp software developed at University of New Brunswick will be extended to make it equivalent to commercially available software. An image viewer will be developed to view the results of PanSharp software, At present. the PanSharp software only supports GeoTIFF image file format. Therefore, support for other commonly used image file formats such […]