A Wireless Wearable Multi-parameter Physiology Multi-sensor System

Miniaturization and microintegration is well known for their potentials in providing microsystems and sensors with unmatched performance, reliability, and lower costs. Current technologies in implementation of microsensors, however, span a large variety of platforms. It is thus common for microsensors measuring differing parameters to exist on different combinations of substrates, not to even mention the associated signal conditioning, processing, and data communication electronics.

High Voltage DC Transmission Using Voltage-Source Converters

Voltage-source converters (VSC) that use self-commutated valves have been used for such applications as electric motor drives. Recently with the development of switches with high voltage and current ratings, these converters have been considered for high-power transmission as well. This internship with Manitoba Hydro, Manitoba’s major energy utility, aims at developing accurate computer simulation models for DC transmission systems using voltage-source converters.

Developing Optical Coherence Tomography Image Analysis Methods

At the NRC Institute for Biodiagnostics, a developer of non-invasive medical devices and techniques to increase prospects for prevention, earlier diagnosis, improved treatment and prognosis of diseases, a new optical imaging technology is being developed for detecting early dental decay. In collaboration with Dr. Reza Fazel’s group at the University of Manitoba, a suite of image processing and image analysis methods will be developed to extract out clinically relevant parameters from the images.

Decreasing Pitch-related Deposits in a Paper Mill

In an Eastern Canadian paper mill, there are often pitch and wood-related deposits on the processing equipment, in particular, the supercalender rolls. Such problems not only have negative impacts on the product qualities but also on the economical performance due to the increased downtime to clean-up the rolls. It is, therefore, important to minimize or even eliminate deposits in the production process in order to improve the efficiency of operation.

CFD Modelling of a Revolution Engine

The project with Revolution Engine Corporation, a development stage company striving to commercialize a novel internal combustion engine, will simulate the airflow into and out of the expansion and compression of cylinders of the revolution engine. As a secondary objective the research will model the stresses and temperatures in the engine header through which the air flows. These tasks will require dynamic modelling of the reciprocating pistons and tappet valves. As a result the project will require considerable human expertise and computing resources.

Modelling of Placement of Multiple Fluids of Different Rheology and Polydispersed Proppant into a Fracture

Hydraulic fracturing technology is one of the most used and efficient methods of oil reservoir stimulation. A way to improve this technology is the consequent pumping of several different fluids containing different concentrations of different proppants (solid spherical particles). This project with Schlumberger, one of the largest international companies in oilfield services, aims at developing a mathematical model describing this technology. The numerical model will predict the fluids’ and proppants’ location is reduced to formulating and solving numerically a different equation.

Warehouse and Distribution Network Optimization

The project is aimed at the development of mathematical models and algorithms to optimize the supply chain network configuration for Dainty Foods, a food processing, packaging and storage company. The partner wants to optimize their current supply chain network through the management of their internal warehouse space and how it relates to external warehousing and cross-docking.

Low Power Design for Ambulatory Physiology Platform

Biopeak Corp, a medical device company, is developing a non-invasive, integrated, sensing platform that would allow people to be monitored for multiple parameters continuously day and night. This presents some major challenges in terms of wearable electronics that can survive several days of use, including size, power management, ease of use and comfort. All these issues require technological innovation. The research to be performed as part of this internship work will be to focus on one of the subsystems in this product.

Characterization of Rock Features in the Ore Sorting Industry

Underground pre-concentration is an efficient stage in reducing the cost of mining operations. During this operation, extracted rocks are monitored underground and most of the waste rock is rejected while the ore is kept. In this project, image processing and pattern recognition algorithms will be employed to characterize different types of ores as well as rocks. This system will be part of a machine vision system that will be used for sorting ores from waste rocks in an underground preconcentration in a mine.

Improving Patient Safety by Developing an Algorithm to Detect Patient Respiratory Status During Remifentanil Administration for Lithotripsy

Remifentanil, an anesthetic that is administered intravenously during acoustic shock wave treatment for kidney stones, depresses a patient's ability to breathe and can lead to apnea. Respiration is normally detected via standard patient monitors which sound alarms in the event that the patient ceases to breathe for a given length of time. However, a physician or nurse often intervenes before the alarms sound and is able to prompt the patient to breathe properly. The decision to intervene includes visual observation of respiration conditions, and requires vigilant monitoring.

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