The current EyesIQ system has a few limitations in terms of performance and accuracy:To be able to stitch images from a 2D microscope slide, the 2D position from one image to another needs to be calculated. This process is called image registration. However, inaccuracy in the image registration algorithm introduces a slight error in calculated […]

Dispersal, or the movement of individuals, is very important in order to maintain natural populations. However, dispersal is often difficult to study. New technological developments now allow us to infer dispersal from genetic data. We will use naturally occurring communities of insects that live in small pools of water in order to study how dispersal […]

The proposed accelerate project seeks to assess a non-destructive means for flagging failed welds in bandsaw blades in real time. The main challenge is to evaluate the correlation between the welding parameters and the properties (including microstructural and mechanical properties) of the final welds. Statistical modeling and different data analysis algorithms may be used in […]

Mild traumatic brain injury (mTBI) is one of the least understood neurological injuries. Increasing evidence shows that the effects of mTBI are not transient and may be associated with significant long-term consequences on brain function and may lead to long-term changes in the functioning of the brain with impacts on many areas related to information […]

The Block Caving method is emerging as a significant future underground mining method (e.g. New Afton Mine, BC; Oyu Tolgoi Mine, Mongolia), becoming more popular in massive underground ore bodies. The design and planning for developing such complex underground excavation systems is challenging both technically and managerially. This research study aims to apply emerging simulation […]

Cloud-based predictive analytics service allows businesses to improve their performance with a minimal investment in infrastructure. Moreover, it enables collaboration and simplifies decision making. However, there are technical obstacles that prevent the large-scale deployment of such service to support millions of users. In fact, a cloud analytics platform runs on a distributed clustercomputing system. Hence, […]

Reducing energy consumption is one of many ways to respond to our urgent global need to reduce carbon dioxide (CO2) emissions. To do so, it is important to identify the most effective energy saving strategies and communicate them to energy consumers. Pulse Energy is a company that works to do just that and is always […]

Luxmux sensors will monitor steam quality and water quality for in-situ Thermally Enhanced Heavy Oil Recovery. In Canada, 2 billions of kilograms of steam are produced per year for heavy oil recovery and this amount is expected to double in the next ten years. Each year, heavy oil producers spend $2.3 billions on natural gas […]

This Mitacs Accelerate proposal is the second of three-phase project of Adriana’s Goncalves master’s thesis. For this Mitacs-Accelerate renewal proposal, it will be investigated further flotation process targeting recovery of 80-90% considering a previous technical feasibility study conducted on material from a representative sample of ASM tailings from Costa Rica. The tailings belong to a […]

Chocolates have a rich source of dietary phenolic compounds and antioxidants. During chocolate manufacture, the antioxidant capacity and procyanidin content in cocoa can be affected by a variety of processing conditions. Therefore, a rapid and less expensive method to determine chocolate antioxidants is highly demanded in confectionery industry. As a nondestructive tool, Fourier transform infrared […]

The research undertaken through the Regenerative Neighbourhoods Project explores the ways that specific building and infrastructure projects can act as catalysts for transformational change at the neighbourhood scale with respect to sustainability objectives. It encompasses both substantive performance improvements and the changes in the project delivery processes required to achieve them. Through collaboration with local […]

This project will investigate and develop advanced algorithms for high dynamic range projection using caustic image formation. These algorithms dynamically redirect light from dark image regions to bright regions, which addresses the problems of low peak luminance and poor black levels in current projectors. The algorithms will improve upon existing lensing methods by increasing computational […]