The United Nations 2030 Agenda for Sustainable Development (2030 Agenda) includes 17 Sustainable Development Goals (SDG) and 169 targets. The 2030 Agenda is universal and applies to all actors. The port industry (PI) is strategically positioned to contribute to the SDGs global achievement but faces a variety of challenges when it comes to implement them. […]

The Port of Trois-Rivières seeks to improve the efficiency of its intermodal (seaport-rail) transportation system through collaboration with partners, consultants, and academic researchers as well to evaluate the benefits of different rail network layouts to increase the capacity and achieve efficient use of intermodal transportation systems that are compatible with the nature of the goods […]

Aerospace industry innovations targets reduction of fuel consumption and noise emission. Electrical power-bywire enabled technology address these challenges yielding lighter designs, increased operation flexibility and cost reduction. With electric motors having variable rotational speed, constraints in design and optimization strategies for rotor and propellers can be released. ln addition to conventional aircraft and rotorcraft, new […]

Saskatoon Cycles (SC) vision is to build a community infrastructure where all ages with all abilities feel safe and welcomed on our city roads commuting on their bicycles/tricycles from A to Z doing K, L, J activities for and with family and community in mind. It has been 10 years since SC started its work […]

A novel high temperature and high pressure materials test system, a so-called in-situ punch shear test cell, has been developed to qualify materials for reliable service in harsh environments representative of those typically encountered in oil and gas operations. Conventionally, materials are first exposed in harsh environments, then removed from the aging fluids for mechanical […]

This project will explore the potential of agile geographic sensing technologies to support remote terrestrial platforms that are able to access unpaved wilderness environments. Laser scanning and photogrammetric survey systems will be tested to assess their capability to support real-time terrain navigation, spatial situational awareness,

L’exposition au bruit ambiant en milieu urbain a des effets néfastes sur la santé et le bien-être des populations selon l’Organisation Mondiale de la Santé. Parmi les sources de bruits, ceux engendrés par les aéronefs figurent souvent en tête de liste dans les grandes métropoles. Dans cette optique, Bell Textron Canada Limitée (fabricant d’hélicoptères) en […]

The goal of the broader Alliance submission is to develop a technology platform to test and benchmark best practices, policy recommendations, and regulations for the safe and reliable operation of automated UAVs during ground-based BVLOS (Beyond the visual line of sight) missions in urban areas, using 5G networks, a first in Canada. The Mitacs internships […]

The principles of lean engineering design are well documented for the automotive industry – where they have served to revolutionize the efficiencies of North American manufacturing operations. Lean engineering has subsequently been transferred into other sectors – where it continues to generate impressive results. The aerospace industry is faced with demands for efficiency of operations, […]

With the Focus around the world shifting to net-zero emissions as a solution to the climate crisis, countries are stepping up with hydrogen strategies and committing large amounts of funding to make hydrogen a reality. However, the main problem remains: On the supply side, hydrogen currently cannot be offered competitively with Diesel/NG prices, and on […]

This project aims to develop a deep learning-based computer vision system of a high-performance visual perception system to support the Autonomous Rail. The developed visual perception system enables extracting rail tracks and objects in typical rail scenes using consumer grade camera and lidar sensors mounted on a moving rail. This visual perception capacity is fundamental […]

Anomaly Detection (AD) is a key research problem in the fast-evolving area of Intelligent Transportation Systems. To proactively detect faults, AD methods are applied to detect deviation from regular behavior, which can also be caused by environmental factors such as weather conditions, neighbouring trains, and track curvature. Thales Canada has unlabeled data from their Next-Generation […]