Traffic Estimation and Stable Resource Allocation Using Distributed Machine Learning

The proposed research will develop novel distributed machine learning techniques for stable resource allocation and improving traffic estimation in networks. It is a well-known fact that networks are becoming complex and user demand is growing in many directions including the traditional demand for capacity and less delay, as well as improvements in Quality of Experience […]

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Exploring the Impacts of a Community-Based Post-Secondary Education Award

Canadian community foundations significantly support post-secondary institutions and students in their provision of merit and needs based awards and bursaries. Yet little is known about the impacts of these investments for students. The Edmonton Community Foundation has partnered with UAlberta (Community Service-Learning) and the Edmonton Social Planning Council (ESPC) to explore the impacts of a […]

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GaN Modelling for the EV Application

The use of new technologies, such as Gallium Nitride electronic switches, allows very efficient and compact power converters to be manufactured at reasonable cost. This is particularly interesting in applications such as electric vehicles. This project focuses on developing software simulation models and techniques for deploying these latest high voltage switches, in particular focussing on […]

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Development of a Smart Wearable Yoga Device for Activity Monitoring

The proposed project will establish a wearable yoga device consisting of various sensors and I/O devices and how they can be integrated to build a prototype device for demonstration purposes. Through utilizing embedded systems, sensory data from sensors, one can obtain relevant information about posture and breathing patterns in real-time or use the data for […]

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Adventure Tourism in the TOTA Region: A COVID-19 Recovery Strategy

Adventure tourism is an important industry to the strategic development of the Thompson Okanagan Tourism Region in the BC Interior. Many communities are transitioning from resource extraction industries to adventure tourism. Adventure tourism is often chosen due to its ability to provide socio-cultural, environmental and economic benefits. This research will explore how resilient tourism development […]

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Collaborative Robot for Vertebral Fusion with a Quality of Fusion Estimation Model

Spinal fixation, the process by which a broken spine is mended, or a deformed spine corrected, can involve the placement of tens of pedicle screws during lengthy surgical operations. With an ageing population the overall demand for these procedures is increasing. Surgeon fatigue is an issue in these procedures and has demonstrated decreased performance. Our […]

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Numerical and Experimental Investigation of Drive Motor Thermal Performance

This research project is related to the development of innovative solutions to enhance thermal performance of self-contained DM systems. The project will be carried out in collaboration with Van der Graaf Inc. (VDG), which is a Canadian company located in Brampton, Ontario. A long-term plan has been developed by the applicant and the industrial partner. […]

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Multi-chip Integration of Lasers and Silicon Photonics

In the era of big data, internet of things and cloud computing, the ever-increasing demand for bandwidth density causes a bottleneck in inter and intra-datacenter communication systems. Optical integrated circuits based on the silicon-on-insulator platform is a well-known solution to overcome the bottleneck in data rate transmission. It is an interesting platform as it can […]

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Long-Term efficiency of horizontal closed-loop geothermal systems for seasonal freeze-back stabilization of permafrost

Wastewater treatment lagoons are practical and cost-effective systems for smaller towns across Canada to prevent wastewater seepage into the environment. Essentially all structures over permafrost that disrupt the natural winter temperatures contacting the ground surface initiates permafrost thawing over the long-term and this includes lagoons.KGS Group has been developing the concept of using conventional closed-loop […]

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Machine Learning for Default Prediction of Private Pension Administrator

In this research project, we will partner with the Financial Services Regulatory Authority of Ontario (FSRA) to enhance its default prediction model for private companies administering pension plans in Ontario. Our goal is to enhance the current model’s timeliness in predicting default of private companies by addressing the lack of publicly accessible information from these […]

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Early Warning Potential of Ambient Seismic Noise: Monitoring Tailings Dams

Recent tailings dam failures occurring in past years have highlighted a need for innovative approaches to monitoring these structures. This research proposes to explore advances in the development of a novel type of distributed fiber-optic sensing technology known as Distributed Acoustic Sensing (DAS), and evaluate its performance in monitoring a tailings dam. Ambient noise interferometry […]

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Evaluation of pollinator restoration and management in The Meadoway

The purpose of this project is to identify bees and evaluate plant-pollinator networks based on the biomonitoring surveys conducted at the Meadoway in 2020 in partnership with the Toronto and Region Conservation Authority (TRCA). The aim of these surveys is to develop a baseline understanding of bee diversity in the Meadoway and evaluate the impacts […]

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