Improving Visibility Testing in Terrain Navigation

In this project, the intern will be tasked with improving the visibility testing algorithms in a commercial simulation software product. In the software, a large number of entities (such as military forces or emergency response personnel, including vehicles and people) are moving around on a two-dimensional map. The inter-entity visibility (that is, which entities are […]

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Research and development of real-time voltage control and loss minimization method in power distribution grids using micro-PMU and distributed reactive power generation

Enbala Power Networks Inc., a Canadian leader in distributed energy resource management, and the University of British Columbia, Okanagan have teamed up to develop real-time voltage control and loss minimization method for power distribution grids integrating large-scale renewable energy sources. The proposed method uses micro-Phasor Measurement Units (PMUs) and distributed reactive power control to achieve […]

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Investigating Learning Cultures and Practices that Foster Experiential, Collaborative and Self-Directed Learning

The fundamental purpose of this research is to identify and understand ways in which workplaces can become “schools”, and facilitate meaningful learning for their employees. The intern will describe the main characteristics of an organizational learning culture that fosters experiential, self-directed and collaborative learning, document organizational practices that support such a learning culture and collect […]

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Développement d’un outil d’interpolation entre les régimes de fonctionnement d’une turbine hydraulique

Ce projet a pour but le développement d’un outil pour améliorer nos capacités à prédire la nature et les amplitudes des sollicitations mécaniques sur une roue de turbine hydraulique type Francis pour les régimes stationnaire et transitoire. Plus spécifiquement, le projet a pour objectif le développement et la validation d’un modèle de calibration et d’interpolation […]

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Numerical investigations of Geophysical Data

Geophysic is concerned with the study of the earth’s properties, and it is of great importance to oil and mineral exploration and in the environmental investigation. With the advanced in modern technology, enormous geophysical data are now available from the ground measurements and airborne surveys. One of the crucial tasks in geophysical investigation is to […]

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An Analysis of Participatory Politics in Canada: Emerging strategies in media-based organizing

As young people increasingly move away from institutionally-driven “dutiful citizenship” (Bennett, 2008), political participation is no longer only defined by voting in elections, volunteering with civic associations and town hall meetings but increasingly manifests through participatory politics – peer-based acts like citizen journalism, podcasting, video production, art projects, tech-based activities, digital activism and lifestyle politics […]

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Prediction of Insurance Coverage and Wait Times

The purpose of this project will be to develop a flexible and statistically sound methodology for leveraging BPI’s database of current and historical publicly available coverage information to model coverage trends in the U.S. health insurance industry. The project will also include the development of an R Markdown template for future predictive analytics reports. The […]

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Photons to Fish (PHISH): Ecosystem indicators of fish productivity

Recreational fisheries in Canada are estimated to provide over $2.5 billion dollars to local economies each year. There is a growing concern that industrial activities, climate change, and other factors may negatively impact the productivity of these fisheries and the freshwater ecosystems that support them. However, direct estimates of fish productivity are extremely challenging to […]

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SEA LETTUCE TO BIOCARBON AND BIOGAS WITH RECOVERY OF NUTRIENTS

Human activity in PEI contributes to over 90% of nitrates in island waterways. These nitrates are responsible for the growth of plants and algae including sea lettuce that chokes ponds and waterways, discolor water and create an anoxic event, which is harmful to the marine ecosystem. The proposed research investigates an integrated process for the […]

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Advanced Learning for Automatic Object Detection and Tracking in UAV Imagery

Recently there has been a growing adoption of Unmanned Aerial Vehicles (UAVs) in many applications. Robust object detection and tracking algorithms are required in many UAV scenarios. However, existing object detection and tracking approaches are not specifically designed for UAV and therefore do not have satisfactory performance in UAV. In this MITACS cluster project, by […]

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