Development of kinetics and recipes of the neutral sulfite semi-chemical (NSSC) pulping for the production of high-quality corrugating medium

Lake Utopia Paper is interested in developing and improving the birch NSSC pulping process for the production of corrugating medium. The primary objective of this project is to develop delignification and sulfonation models for process control of NSSC pulping of birch. In addition, the relationship between the NSSC pulping process and the properties of the […]

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Monitoring Kingston’s Third Crossing Bridge

Bridges are critical infrastructure assets, which connect transportation networks for the delivery of goods and services and are vital links for first responders. The goal of this research is to advance the state-of-the-art in innovative and cost-effective solutions to monitor the condition of bridge infrastructure using a low-cost sensor network and an intelligent robotic machine, […]

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Sparse Representations for Embodied AI

Understanding scenes representing real world environments is a challenging problem at the intersection of Computer Vision research and Deep Learning and a necessary pre-requisite for Embodied AI. Embodied AI is an emerging field within Machine Learning that focuses on the challenges that need to be addressed for successful deployment of edge devices such as drones […]

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Durability of EV’s Battery Pack Joints

To address the global concerns regarding climate changes and increase of earth temperature, carbon dioxide emission has to be removed/reduced. A major source of Co2 emission is transportation vehicles, which account for close to 30% of Canada’s greenhouse gas emissions. An active method to reduce this significant contribution to global warming is electrification of transportation […]

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Detection and Classification of Pavement Defects Using Computer Vision

The objective of the project is to automate the detection of pavement defects. Defects can be of different types: cracks, deformations, potholes and others. These defects are cataloged and detailed in standards established by the Quebec Ministry of Transport in Quebec and various authorities in other regions of the world. At present, the inspection of […]

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Development of a 3D Laser Scanning System for Generating Prototypes of Buildings and Large Scale Structures

Virtual Prototypes provide a fast and efficient way to visualize objects or products during their design phase. In architecture, engineering and various construction projects 3D models are used throughout process, from design, through construction, and into the facility management phase. An accurate 3D scan could represent a built region in a virtual world. The 3D […]

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An active video game for rehabilitation therapy of children with musculoskeletal disorders

Children with musculoskeletal disorders, such as Cerebral Palsy (CP), must follow regular, intensive rehabilitation to improve their movement patterns and walking ability. Often, these protocols are perceived negatively by children, who would rather play and have fun. The use of active video game based training programs could help reduce participant attrition while improving engagement and […]

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Automated Tunnel Inspector

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 […]

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Modeling of flow in heat exchangers optimised for additive manufacturing

The proposed research aims to 3D print a series of heat exchangers in plastic and metal to optimize the pressure drop and heat transfer. An initial prototype will produce experimental data to validate a numerical model, which can then be used to rapidly evaluate future heat exchanger designs. Optimizing the pressure drop and heat transfer […]

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A Prospective Model for Predicting Driver Workload, and Safety Related Distraction, using Heterogeneous Data and Machine Learning

There is an increasing amount of potentially distracting information being made available to drivers. However, applications (e.g., for navigation, work, entertainment, etc.) need to be aware of driver workload so that they don’t create unsafe distraction. This work is important because distracted driving is a major risk factor for road accidents and the threat of […]

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Development and validation of SafeSleep, a smart, accessible, and convenient textile-based technology for remote monitoring of sleep apnea in high-risk population at home

Sleep apnea, which affects 10% of adults, is a disorder that causes breathing to repeatedly stop during sleep, leading to reduced blood oxygen and fragmented sleep. It increases the risk of HF by four times, of hypertension or stroke by three times, and doubles the risk of car accidents. Health care utilization is doubled in […]

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