This research project explores the application of an artificial intelligence-based monitoring system comprised of image-based sensors and processing algorithms to detect, identify, and monitor the incoming presence of wet wipes and nonwovens in urban drainage systems in near real-time to pre-empt the effects of the damages caused by users’ disposal of these products in toilets. The AI-based system, to be employed in a number of monitoring locations simultaneously, will be used to establish a library of detected materials to identify and categorize incoming products (e.g.
Maps are vital in our life. Three-dimensional (3D) maps are essential in traditional and new applications, such as smart cities, autonomous vehicles and augmented reality. The number of end-users who require 3D maps has expanded exponentially in recent years and is anticipated to expand even more in the future. LiDAR scanners are the main sensors in 3D mapping systems. The commercially available 3D LiDAR-based mapping systems tend to be bulky, expensive and thus out of the reach of many end-users. Recently a relatively low-cost LiDAR scanner has been introduced for autonomous vehicles.
There is an urging need to enhance the market competitiveness of the fiber reinforced polymer (FRP) material as an alternative to conventional steel and concrete materials in building retrofit projects in Canada due to the reduced life-cycle cost of the former. Optimizing the design of FRP reinforcement is a key element toward increasing the market share of FRP products. The objective of this project is to employ statistical techniques to optimize the number and layout of FRP layers required to strength deficient concrete beams.
Climate change is having an affect all aspects of everyday life. In some regions, climate change could also have a negative impact on buildings. To help cope with these expected issues, we will be reviewing the Canadian masonry design standards in order to identify specific aspects of masonry construction that need special attention in their design to ensure our buildings continue to be durable as the local climate in various regions across the country changes.
Since recent years, many roadwork projects and nearby events will affect the flow of visitors at Casino de Montreal, a model is needed to analyze the impact of these roadwork events and provide solutions to mitigate the effect. In this project, multisource data will be provided and applied into traffic flow prediction. The main objective of this project is to build a predictive model and then using the results of this model to perform analysis.
This project will develop a smart parking solution, including both hardware sensors and the analytics platform, that provides real-time parking availability data, which can support decision makings, such as policy refinements, demand-responsive pricing, etc. Our project aims to optimize the rate of parking facilities’ utilization as well as improving drivers’ parking experience. In terms of urban planning, our solution will reduce traffic congestion, carbon emission, parking-related accidents and frustration, creating a more habitable community.
The development of high performance and durable concrete material is extensively required in the present world to build resilient and sustainable infrastructure. This project will open the prospects for developing a high performing advanced concrete composite engineered with graphene-based nanomaterials. Graphene is a nanomaterial typically produces from graphite, with extraordinary strength and chemical properties. The partner organization in this project is ZEN Graphene Solutions Ltd., the owner of a large high-quality graphite mineral in Thunder Bay, Ontario, Canada.
Methane is a potent greenhouse gas and reducing methane emissions is a key strategy in many climate change action plans. Because cities and their methane emissions are growing, it is essential to characterize and mitigate methane emissions from urban sources. Because there are no published studies of methane emission measurements in Montréal, we propose to conduct direct measurements to quantify methane emission rates and attribute the emissions to sources in Montréal.
The project is a demonstration of Advanced Energy Technologies (AET)’s patented refining process for upgrading heavy oil products without diluent or extreme heat treatments. This produces lighter, higher value oil that is easier to work with throughout the process stream, with greater efficiency and less cost. AET will be conducting demonstration runs of the Hydrogen Activator Technology (HAT) on Albertan feedstock, partnering with local oil companies to secure heavy oils, bitumen and refinery residues.
From 2014-2018, Krown Corporation, a pioneer in corrosion treatment, partnered with University of Windsor Faculty of Engineering researchers to conduct a comprehensive assessment on how to measure and assess the degree of corrosion on a vehicle, so that it may be communicated to the vehicle owner.