Monitoring Sleep-related Breathing Irregularities with Computer Vision Techniques

Sleep monitoring plays an essential role in the diagnosis of sleep disturbances. While the polysomnogram represents the gold standard, it has the disadvantage of assessing the patient’s sleep in an unfamiliar environment, usually a sleep clinic. This proposal targets the development of new computer vision-based methods for home-based sleep monitoring in partnership with Vigil Health […]

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Novel Approaches for Heart Failure Screening Based on Ballistocardiograph Signals

Identifying early onset of cardiac diseases is not easy and can be very expensive. For this reason, the first symptom of cardiac problems is often catastrophic for patients. The ultimate goal of this project is to produce a low-cost screening device that effectively identifies the presence of the disease early, allowing patients to take corrective […]

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Stochastic Modelling of Pre-sales and Network Request Provisioning Sub-processes at Bell Canada

The objective of this project is to contribute a quantitative framework for analyzing potential inefficiencies of current practices at Bell Canada in the early stages of telecommunication service provisioning, particularly pre-sales and network request sub-processes. Models of these processes incorporating randomness are to be estimated from past data and utilized as a basis for efficiency […]

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Tree Usage Optimization

Western Forest Products is an integrated Canadian forest products company and currently the second largest coastal woodland operator in British Columbia. Traditionally, a tree is cut based on a logger’s observation of the tree including any defects, its species as well as its taper. Currently, these factors do not explicitly consider the products which are […]

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Developing Microkinetics Oxidation Models

The emissions of NOx and SO2 are subject to increasingly severe environmental regulations. In an effort to reduce the amount of NOx and SO2 emitted by DuPont’s industrial facilities, the intern will develop new capabilities in NOx and SO2 absorption modeling. During the project, the intern will begin by learning the ChemKin™ software, which he […]

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An Integrated Evaluation and Planning System for Supporting Sustainable Management of Groundwater Resources

Groundwater over-extraction and the associated adverse effects have raised significant concerns. In order to respond to the urgent calls for effective management approaches and control actions, this study aims to develop an innovative groundwater evaluation and planning system by integrating water balance modelling, system optimization, scenario analysis and capability assessment. The main research tasks to […]

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Climate Change Impacts Monitoring of Shoreline Systems in Gulf Islands National Park Reserve

The intern’s study will establish a network to monitor coastal erosion and shoreline changes related to erosive water levels and longer-term trends (e.g. sea level rise, storm surges) associated with climate variability and change in Gulf Islands National Park Reserve. Climate data, water levels, air photos and cross-shore profiles are crucial indicators of coastal responses […]

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Fertilization to Increase Soil C Sequestration and Mitigate Climate Change

Forest soils are a significant sink for the greenhouse gas, CO2. Concerns over climate change have led to increased interest in methods to increase the forest C sink. Fertilization of forests has been demonstrated to increase productivity of many forest types and this has an associated benefit of increased C sequestration in biomass. There is […]

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Assymetric Lossless Compression via Algorithmic Self-organizing Structures

This internship project with Deep Compression Inc. aims to produce a prototype demonstrating a new technique for asymmetric lossless data compression. Unlike conventional compression techniques, this prototype will allow representational information to be recovered using an algorithmic recovery procedure, algorithmic self-organizing structure (ASOS). This new approach could pave the way for previously unprecedented levels of […]

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