Since many existing buildings in Canada were built prior to the advent of national and provincial energy policies, quantifying building envelope thermal performance is an important step in identifying retrofit opportunities in the existing building stock. Quantitative thermography is considered as a reliable method to measure the thermal transmittance, U-values, of opaque building envelope assemblies. Previously developed external infrared thermography (IRT) methodologies mainly focused on comparison of measured U-values with nominal U-values of wall assemblies in European construction.
Across the world, there are multiple variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes coronavirus disease 2019 (COVID-19). Among these variants, B.1.617.2 (Delta) variant is highly transmissible in indoor sports settings and within households. Therefore, a rapid and accurate test is needed to detect the presence of SARS-CoV-2 variants. This project aims to develop a more sensitive test strip to detect COVID-19 variant positive patients.
Medical errors continue to occur in the Canadian healthcare system, with errors not only leading to patient harm but also to costly litigation. Some of the costliest litigation relates to low frequency, but high impact, events. The aim of this research will be to design, and assess the feasibility of, interventions that can lead to fewer costly medical errors by improving the situation awareness of medical personnel. We will first examine the behavioural traits of the people who are cited in medical litigation cases.
This research project will leverage the predictive capabilities of computational fluid dynamics (CFD) for the design of a low-specific speed, centrifugal pump for slurry flows. The CFD will be used in conjunction with an optimization framework to investigate the optimal design space of these high-head, low volumetric flow rate pumps. This project will provide the partner organization with a novel approach to their pump design and allow the intern to develop in-demand research skills while gaining valuable industrial research experience.
The arrival of larger quantum computers could be beneficial to numerous fields, including drug discovery. Three quantum algorithms, which could one day help discover new life-saving drugs, will be investigated in this research project. The first algorithm will reduce the computational load placed on quantum computers when estimating the electronic energy of molecules. As for the other two algorithms, they will be used to make protein folding and RNA folding predictions. Conducting this research project will benefit Anyon Systems Inc.
While perovskite solar cell materials have shown remarkable performance and can be made at very low cost, their sensitivity to weather and short lifetime have prevented their use in large outdoor installations. Using these materials in interior solar shades instead could fix these shortcomings - removing their exposure to weather should improve lifetimes, and the simple indoor installation and replacement should make device lifetimes of a few years more acceptable.
High-resolution visual and spatial models are transforming traditional methods of inspecting heavy civil infrastructure. These models overcome the inaccuracy and uncertainty of traditional inspection methods and enable infrastructure owners to assess deterioration and prepare plans for repair. Despite photogrammetry being the fastest method of collecting data for these models, it is slower than a traditional walk-through by an inspector.
The research will design, construct, and test a vehicle that will quickly and semi-autonomously photograph infrastructure.
Lack of customized patient education leads to medical errors which are the third leading cause of death in North America. Most patients don’t fully understand the role they need to play before and after their surgeries for reasons like language barriers. They forget up to 80% of the information provided to them, and half of what is remembered is misremembered. It means there is a chance that surgeries won’t happen as planned. That’s dangerous for patients and can be frustrating and expensive for caregivers.
A key objective of this project is to develop an advanced routing strategy that can generate optimal routes for curbside waste collection, residential sweeping, and snowplowing services to improve operational efficiency and save overall costs. To achieve this goal, optimal routing models and algorithms will be developed by integrating graphic theory, vehicle routing problem, and optimization, as well as GIS (Geographic Information System) techniques.
Removal of specialized coatings and paint from lightweight aircraft structures through laser ablation is very
promising and environmentally safe decoating process compared to existing methods such as chemical stripping.
However, research is needed to understand the effect of the laser process on the underlying materials. This
project will include an in-depth experimental study of the mechanical properties and the use of computer modelling
to predict these effects to improve future decoating processes.