Long-Term Prevention of Catheter Infections using Chemical Coatings

Infections acquired through long-term catheter use are a major problem for nearly 20% of all patients. This project seeks to apply Econous Systems’ anti-fouling MEG-OH coating to biomedical plastic catheters to see if they prevent the 3 most common microbes: E. coli, C. Albicans and S. Aureus, from growing. This will initially involve in vitro testing using a flow-through model to simulate blood flow, monitoring first static and then dynamic microbe growth using fluorescence microscopy. In vivo testing will follow using rats as a preclinical model.

Exploring Symbolic Techniques for Fast Robust Nonlinear Model Predictive Control of Autonomous Vehicles

The goal of this project is to design computationally-efficient solvers that can be used for autonomous vehicle control developments. Because autonomous cars have complex mathematical models, it is usually hard to perform their necessary control computations on-line and when the vehicle is running. Therefore, it is required to come up with much faster solvers for their controllers. At the end of this project, the developed control methods will be tested on an accurate simulation platform to evaluate their performance and robustness in realistic scenarios.

Feasibility Assessment and Development of Knowledge, Technology, and Tools for Reliable Hydrogen Injection into Natural Gas Delivery Systems

To reduce their carbon footprint, FortisBC Energy Inc. is investigating the possibility of injecting hydrogen into their natural gas distribution network. Prior to adopting this change, a comprehensive feasibility assessment and development of tools to support the hydrogen injection is required. This includes investigating the effects of hydrogen on existing gas distribution infrastructure, end-user appliances and equipment. Successful execution of the project will enhance FortisBC’s sustainable energy portfolio and support the pursuit and implementation of green technologies.

Investigating vestibular changes in patients with post-concussion syndrome (PCS) in relation to the comorbid depression

This proposal presents two parallel research projects to develop pattern recognition algorithms using a relatively new technology, Electrovestibulography (EVestGTM)1 for objectively and accurately effect of confounding depression on concussion both when used as a diagnostic tool and also as a treatment recovery tool. EVestG signals are recorded painlessly and non-invasively from the external ear in response to a vestibular stimulus; they are the brain signals modulated by the vestibular response.

Advanced Sensor Fusion for Visual Inertial Odometry and Object Identification in Dynamic Indoor Environments

Industrial robots have set important milestones in the era of automated manufacturing by carrying out dangerous and repeatable tasks in the place of humans for over half a century. In this century, professional and mobile service robots are going to play the key role as human counterparts and caregivers in both industrial and daily-life setting.

Development of a new SEN-Flow Index for predicting steel meniscus velocity inside a continuous caster mold by physical modeling experiments

Flat product manufacturers are under constant pressure to increase productivity, and simultaneously maintain high quality of continuously cast steel slabs because of stringent quality demands imposed by their customers. However, increasing productivity has detrimental effects on slab quality, and defects and rejections have a major impact on the producers bottom-line. Controlling fluid flows in continuous casting molds is one of the key parameters to ensure cleaner steel and reduce defects.

Luminance study of LED lighting systems with 3D light-guides

Light emitting diode (LED) is the future of lighting. In this project, we will work with LOOM Inc., a lighting Innovation and marketing company, to Improve the lighting efficiency and quality of an LED lighting fixture designed based on the revolutionary concept of the waveguide, demonstratively Improved on by LOOM Inc.

Development of an advanced ice dynamics and deterioration model and a DEM flexural ice failure model

Offshore Newfoundland is an ice-prone environment which holds valuable natural resources. Better understanding of the ice environment and ice characteristics in this region is essential for safe and economical offshore activities.

Crowd-Sourced Bathymetry in the Northern Canada areas

The main objective of these two subprojects is to provide a web portal for uploading hydrography related data of sensors system embedded on fishing boat of volunteers in Canada Northern communities. Indeed, the geospatial portal will provide a comprehensive framework to allow for the storage, discovery and accessibility of the bathymetric and related oceanographic data from a data repository enabling to be functional including low Internet connection setup. Once, the data uploaded on the server, cross-validation and data format standards will be checked through the system.

Evolution of resource revenue sharing in resource-rich countries: characteristics and implementation

This research intends to equip the stakeholders with better understanding of the successful applications of revenue sharing mechanisms at national and local levels in resource-rich countries. The work will identify the “new norms” of the industry and government in resource revenue sharing arrangements and provide a description of the model approach on resource revenue sharing with a long-term implementation and benefits. The lessons and priorities of the international practices around the resource revenue sharing would help to find the common ground on the evolving topic.

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