Knowledge of corrosion products and radioactivity transport in nuclear reactors is necessary to minimize radiation dose to station workers during maintenance activities. Modelling radioactivity transport can also be used predictively to assess how changes to station chemistry affect radiation fields. The objective of this project is to develop a new code in Python, leveraging the […]

Total::Insight™ is a geospatial and time distribution Decision Support System (DSS) that includes a correlator capable of consuming many sporadic time domain signals and converting them into feature rich tracks. The problem here is how to create an AI/ML embedding that is domain relevant from the tracks.The project objective is to develop, refine and industrialize […]

Drilling is a major operation in the mining industry. Holes are drilled in underground mine structures to insert reinforced steel bars for support and to prevent the mine from collapsing. One of the mining operations is to break mine rocks using explosives into smaller parts that can be transported for further processing. Both cases need […]

Vertical jumping is important for athletic performance (for example, basketball, volleyball), but could also involve injury risk if done incorrectly. Our purpose is to explore whether a stretching program of the calf muscles enhances vertical jump performance and decreases some of the risk factors for injury in adolescent athletes. Having more flexible calf muscles increases […]

Fertilizers derived from organic waste are well positioned to fortify ‘sustainable’ agricultural practices in Canada and elsewhere by reducing energy-expensive fertilizer production, reducing waste and addressing the overuse of pesticides on food crops, medicinal plants and natural health products derived from plant products. Circulus Agtech Inc., with its organic waste-to-fertilizer process, produces excess microbial biomass […]

Computational electromagnetics (CEM) is a field of research devoted to simulating the complicated electromagnetic systems foundational in our technology, security, and exploration. Historically, problems have been solved by breaking them into many small pieces that can be solved by a computer; an approach that makes it difficult to solve very complicated problems. Today, a new […]

Dans le contexte agricole dynamique d’aujourd’hui, l’intégration de l’intelligence artificielle (IA) offre une opportunité significative de révolutionner et d’optimiser les chaînes d’approvisionnement. L’industrie agricole est confrontée à des défis pour maintenir des chaînes d’approvisionnement efficaces et durables, en particulier dans le contexte de la production d’intrants agricoles tels que la moulée pour différents types de […]

In agriculture, header losses, indicating the loss of grains at the combine harvester’s header, usually contribute the most of harvesting losses. While not entirely avoidable, their impact can be significantly reduced through careful monitoring of the harvesting process. In this proposed project, the intern aims to explore microwave-based object detection technology as a solution to […]

This project will develop a prototype technology to guide cranes to automatically place building elements using visual reference markers (QR codes). Working with Sparkbird, the R&D arm of WZMH, two interns will develop a software application to estimate the relative positions of the element to be placed with existing elements and the crane, allowing for […]

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

A surgical site infection (SSI) is an infection that occurs after a surgical procedure. Despite a variety of infection prevention strategies, SSIs still occur often and impose a significant burden on patients and the healthcare system. Intraoperative irrigation (or washing of the surgical incision before closure) may reduce SSIs, but this is uncertain. The Clinical […]

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”