The process of identifying the object in an image, and the object background is accomplished by the human brain instantly. We develop such skills with experience, and often take it for granted. In digital imaging and computer vision, the same operation called image segmentation is a bottleneck of quantitative analysis. In particular, automated image segmentation […]

Increasing worldwide energy demand has sparked research interests towards the direct transformation of low-cost light hydrocarbons like natural gas into valuable liquid fuels or chemicals. Conventional thermo-catalytic approaches to achieve these reactions require high reaction temperatures (> 673 K), resulting in less desired products formation with severe coke. Non-thermal plasma (NTP) technology offers an attractive […]

As the global demand for clean energy increases, the next generation power systems design has become more complex than ever. Since renewable electrical power can be generated locally, the power flow is not only from the utility to consumers, but also from any sources (i.e. photovoltaics, internal combustion generator, electric vehicle battery pack, etc.) to […]

Mining is important to the Canadian economy, contributing an estimated $43.9 billion in 2020 while addressing growing demand for minerals. Mine operations disturb natural environments, and Canadian federal and provincial authorities have instituted the Mines Act, and the Health, Safety and Reclamation Code for Mines in British Columbia, providing a regulatory framework for mine closure […]

The proposed project aims at developing novel algorithms for the 5G Core Network Placement to meet Key Performance Indicators (KPIs). The ultimate goal is to minimize the number of virtual network functions in 5G packet core while meeting the latency requirements. Thus, this project aims to address the trade-off between latency and operational costs in […]

This project is focusing on the development of RCP coursewares for adjustable speed drive (ASD) systems with the OP8666 module. The OP8666 RCP module will be used to implement, test, and validate the control algorithms in real-time before being connected in the real-world ASD systems. Two ASD courseware module families have been agreed for the […]

Flex Travel Solutions is preparing to launch its Machine Learning Module to enhance its BRE tool through predictive analysis. The objective of the project is to provide its clients a sales forecasting predictive model within the BRE to facilitate their business strategies and decisions.

Hydrogen fuel cells (HFCs) are clean and efficient energy conversion devices that produce electricity from green hydrogen with zero carbon emissions. Currently, the catalyst layers in HFCs are composed of Pt-decorated carbon powders mixed with an ion conducting polymer (ionomer), leading to uncontrolled distribution of each phase and significant tortuosity due to the complex pores […]

En assurance commerciale, il est important de pouvoir comprendre l’industrie dans laquelle opère une entreprise afin de bien identifier les risques auxquels l’entreprise est exposée. À cette fin, l’approche traditionnelle consiste à assigner à chaque entreprise un code d’industrie. Cependant, cette assignation est problématique car la plupart des classifications d’industrie comptent des centaines et souvent […]

Marine icing problems pose significant risk to both marine vessel stability and human safety during harsh weather operations. The project will address a need for better physical understanding of marine icing phenomena and the development of appropriate sensors for detecting marine icing conditions. Current technologies have proven inadequate for marine conditions due to the complex […]

Creaform est une compagnie qui développe des technologies de scan et de mesure 3d pour l’inspection industrielle et la rétro-ingénierie. Les numériseurs sont tenus en main et reliés à un ordinateur portable qui permet de visualiser la géométrie de la surface des objets mesurés pendant l’acquisition. Généralement, les numériseurs sont utilisés dans un environnement contrôlé, […]

This project is focused on understanding the relationships between copper, gold, and other critical metals in central Newfoundland and their relationships of ore forming fluids to magmatism, faulting and ancient volcanic activity. The work will involve three MSc-level interns that will undertake fieldwork, laboratory work and computer modeling (i.e., machine learning) while being embedded with […]