Development of an IoT-based sleep monitoring system for optimal sleep quality

The proposed project will develop a system that combines ambient environmental sensors with sleep detection methods to measure sleep quality and allow the user to improve their focus during activities of their daily lives. Observing sleep patterns through all the stages of sleep to model the users body clock and quality of sleep. In addition, using environmental sensors to help users identify optimal sleeping conditions. This will be done by developing an algorithm that will estimate sleeping patterns with environmental sensors and produce a report to optimize their sleep.

Experimental investigation and validation of flow control device (FCD) performance and design in thermal oil production

Oil recovery processes use flow control devices (FCDs) to ensure uniforms flow of fluids with minimized potential for well failure. These devices operate by restricting the flow through nozzles causing its velocity and pressure to significantly change. For the flow to keep its momentum, its pressure has to drop which unfortunately increases the likelihood of local well failure to occur. In this research, the performance of various nozzle types will be tested to investigate the effect of geometry on the pressure drop.

Visualization of manufacturing complexity highlights on CAD file

Currently, the service provided by GRAD4 allows online storing and sharing of computer-aided design (CAD) models. However, there is no interface developed for visualization of CAD models in the service in a fast and comprehensible way to the users: both manufacturers and buyers. The main challenge of such implementations is in relatively high computational cost of such visualizations via tools used for web-development: while a regular PC handles such task efficiently, web-based tools have means insufficient for similar performance and, thus, mostly involve cloud computing.

Design of autonomous robotic system for removal of Porcupine Crab spine

Porcupine Crab (Neolithodes grimaldii) inhabits the seabed off the Coast of Newfoundland and Labrador and in the eastern Arctic as a by-catch in the turbot gillnet fishery. This research project focuses on developing automatic robotic technology for the removal of Porcupine Crab spines to ease the crab processing for potential future development of a Porcupine Crab fishery.

Development of nano-colloid with gold nanoparticles to detect Legionella pneumophila using the principle of localized surface plasmon resonance

Legionnaires is a disease caused by the bacteria Legionella pneumophilia present mostly in aquatic environments. The first outbreak of this disease was recognized in 1976 in Philadelphia and the most recent one in July 2019 in Atlanta. Diagnosis of the disease isn’t early and thus need to be prevented by regular treatment. Treatment of water needs information about the water quality which needs on-site based sensors to detect the different pathogens present. At present, there is no viable solution to detect Legionella on site with confidence.

Hemodynamic Impacts of Combining Axial Pumps

Heart failure is a prevalent disease effecting 250,000 people in North America alone. This disease can be treated by the transplant of a donor organ, but insufficient donor organs have led to the development of mechanical circulatory supports which now provide a reliable alternate treatment option for patients. Unfortunately, many patients that could be helped by a mechanical circulatory support are deemed ineligible due to the invasive, open-heart surgery that is required to install such devices. Puzzle Medical Inc.

Advancing Adjoint-Based Aerodynamic Design Optimization for Industrial Cases

The primary objective of this collaborative research project is to further advance an established industrial strength framework for the aerodynamic design optimization of Advanced Aerodynamic Systems. A major expense during a three-dimensional aerodynamic shape optimization (ASO) is the cost of obtaining design sensitivities or gradients at each design iteration. The computational cost grows rapidly as the number of cost functions and design variables are added.

Computer-vision Powered Smart Production Assistant

Over 70% of tasks in manufacturing are still manual; therefore, over 75% of variation in manufacturing comes from human beings. Human errors were the major driver behind $22.1 billion in vehicle recalls in 2016. Currently, when plant operators want to gain an understanding of their manual processes, they send out their highly-paid industrial engineers to run time studies. These studies produce highly biased and inaccurate data that provides minimal value to manufacturing teams.

Developing measuring techniques for online monitoring of ex-vivo organ support system (EVOSS)

The ex-vivo organ support system (EVOSS) being developed by Tevosol, Inc.
Organ transplantation remains the standard therapy for treatment of end-stage heart and lung failure. Tevosol Inc., a Canadian organ transport device company in the market, is developing an ex-vivo organ support system (EVOSS). The EVOSS is a system that is used to preserve donor organs in a working state at body temperature during the time between donation and transplantation into a patient.

Further improvements of image analysis for multiplexed microarrays – Part 2

Microarray testing allows high-volume analysis. This work will develop tools for accelerated analysis and modifications to surfaces used within the partner facilities. The goal is to enhance the performance of current assay designs and to inform and guide the next-generation of assay designs (ie 384 well plates) which will support the partner’s technology leadership position. After implementing a print run and analysis using the current quality control protocols, data will be compared with existing results.

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