Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Élaboration d’une politique de gestion de la ressource archéologique en contexte autochtone

Alors que les communautés autochtones souhaitent s’impliquer davantage dans le domaine de l’archéologie, peu d’information a été consolidée sur les actions entreprises par différentes communautés du Québec. Cette étude veut rassembler les différentes actions ayant été posées par les communautés autochtones du Québec à l’égard de leur patrimoine archéologique, autant du point de vue de la recherche que de la diffusion. À partir des informations recueillies, nous serons en mesure de proposer un programme en archéologie qui sera adapté à la Société d’histoire et d’archéologie de Mashteuiatsh et au contexte autochtone et qui lui permettra de mener des projets de recherches archéologiques sur le territoire et ainsi contribuer à l’avancée des connaissances sur l’histoire des Pekuakamiunluatsh.

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Faculty Supervisor:

Érik Langevin

Student:

Partner:

Société d’histoire et d’archéologie de Mashteuiatsh

Discipline:

Sociology

Sector:

Arts, entertainment and recreation

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Automated Assessment of Forest Fire Hazards

The proposed project is to develop a Deep Reinforcement Learning (DRL) model capable of using Light Detection and Ranging (LiDAR) data to automatically analyze whether there is a risk of forest fire due to vegetation management around electric equipment. The model automatically classifies points in a LiDAR scan to determine whether there is direct contact between vegetation and electric equipment and outputs control actions for an Unmanned Aerial Vehicle (UAV) that can autonomously inspect infrastructure as needed. Our research will focus on the solution of two different but complementary machine learning problems that the DRL model will have to solve to allow for a UAV to autonomously acquire data with sufficient quality for fire risk assessment. Firstly, there is the problem of perception, i.e., to analyze raw LiDAR data and deduce classifications of individual objects and their shape and orientation. Secondly, there is the problem of control, i.e., to use the perceived state of the environment as determined by the first stage to adequately navigate through the environment until a complete scan has been obtained of the region that we are conducting a fire risk assessment for.

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Faculty Supervisor:

Lei Lei

Student:

Partner:

METSCO

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Guelph

Program:

Accelerate

The kinematics and chemistry of Au-bearing quartz veins, Ruby Creek, British Columbia

The area around Atlin, northern BC, contains high concentrations of gold in river gravels. This gold came from gold-bearing quartz veins, which were eroded by the rivers. Different researchers have proposed that the gold in these quartz veins is sourced from mantle rocks, or two different granites nearby. The recent discovery of gold-bearing quartz veins in drill-core in one of these granites offers new insights into their formation. This proposal aims to characterize these veins and relate them to the tectonics and other mineral occurences in the area using their chemistry, geometry and physical properties. Knowing the source of gold is crucial for the exploration industry working in the area because they rely on robust geological models to inform their exploration strategy.

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Faculty Supervisor:

Kenneth Hickey

Student:

Partner:

Stuhini Exploration Ltd

Discipline:

Earth science

Sector:

Mining

University:

The University of British Columbia

Program:

Accelerate

Perspectives féministes intersectionnelles : économie, santé et environnement

Le projet contribuera à l’actualisation du positionnement de l’analyse féministe intersectionnelle de Relais-femmes en travaillant à articuler les liens entre féminisme intersectionnel, écologie, économie et santé. Pour ce faire des objectifs spécifiques ont été ciblés : 1) mettre à jour la documentation scientifique sur les thématiques ciblées; 2) analyser les productions antérieures de Relais-femmes portant sur les questions économiques; 3) développer des indicateurs visant à orienter la prise de décision en politique économique destinés aux membres de Relais-Femmes.

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Faculty Supervisor:

Johanne Saint-Charles

Student:

Partner:

Relais-femmes

Discipline:

Sociology

Sector:

Education; Health and Related Sciences & Technology

University:

Université du Québec à Montréal

Program:

Accelerate

Modelling Canola Growth, Development and Yield in Western Canada

Crop models such as the Agricultural Production Systems sIMulator integrate multiple disciplines such as plant science, soil science and meteorology to understand crop growth, development, and yields under various production systems. Currently, there are no canola crop models employed in western Canada that can assist growers in simulating the impact extreme weather events may have on canola growth and yields. The objectives of the project are to calibrate and validate APSIM as a canola model in western Canada to evaluate the impact extreme weather events have on canola growth and yield. The results of this study will provide Nutrien Ag Solutions validation of their data sets to evaluate canola varieties under varying farm management systems.

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Faculty Supervisor:

Linda Gorim;Steve Shirtliffe

Student:

Partner:

Nutrien Ag Solutions (Alberta)

Discipline:

Life Sciences

Sector:

Agriculture

University:

University of Alberta

Program:

Accelerate

Anaerobic Digestion: Economic Feasibility Model

Balance BioGas is a small start-up business with limited resources and experience in the field of economic feasibility analysis. The partner will benefit greatly by having Kaitlin (the intern) develop an economic feasibility model for biogas business development in Yukon. This model will provide strategic direction for Balance BioGas moving forward as a business venture. The partner will also benefit by having Kaitlin provide routine business administration tasks. These tasks will be synergistic for both Kaitlin and Balance BioGas as they will provide Kaitlin valuable business administration skills and will allow Balance BioGas to focus on other business development tasks.

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Faculty Supervisor:

Lisa Kanary

Student:

Partner:

Balance BioGas

Discipline:

Business

Sector:

Administrative and support, waste management and remediation services

University:

Yukon University

Program:

Accelerate

The Binary Fluid Ejector- a novel thermal-driven heat pump for low-energy distillation:Influence of binary fluid thermodynamic properties

Currently, two common technologies that use thermal energy directly to produce cooling are being used in the industry – absorption chillers and steam ejectors. Both are traditional technologies that suffer from serious limitations. MRT is developing a novel Binary Fluid Ejector that can overcome the limitations of prior art to produce a heat pump that can economically harness renewable thermal energy, including waste heat, to do useful work such as air conditioning, process chilling, or distillation/desalination. MRT is constructing & testing a demonstration distillation system of a prototype applicable for treatment of waste and process water currently generated by oil sand mining and SAGD operations. The specific research to be performed by the candidate is to conduct modeling work necessary to design and optimize the precursor ejector prototypes required for concept validation prior to comprehensive design and construction of the demonstration system.

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Faculty Supervisor:

Robert Martinuzzi

Student:

Partner:

May-Ruben Technologies

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Distributed AI for Mobile Ad Hoc Clouds

The unprecedented expansion of Cloud Computing, Internet of things and the recent advances in AI and Big Data analytics techniques are opening the door for new breeds of intelligent services and applications. However, such services and applications require a large computing capacity. Unfortunately, in dynamic environments, characterized by highly mobile devices and intermittent connectivity, it becomes challenging to run such services and applications with a guaranteed performance, especially when it is not possible to rely on any fixed infrastructure giving access to cloud platforms with powerful servers. This project aims at addressing this challenge by designing novel architectures and management mechanisms for Mobile Ad hoc Cloud (MAdoC), a dynamic cloud made of interconnected IoT devices with no dependence on a fixed infrastructure. A high-performance and resilient software-defined heterogeneous MAdoC will be proposed, it leverages recent technological advances in Software-Defined Networking (SDN), Big Data analytics, and Machine-Learning techniques.

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Faculty Supervisor:

Mohamed Faten Zhani;Diala Naboulsi;Muthucumaru Maheswaran;Georges Kaddoum;Muthucumaru Maheswaran;Diala Naboulsi

Student:

Partner:

Ultra Intelligence & Communications

Discipline:

Engineering

Sector:

Information and cultural industries; Manufacturing

University:

École de technologie supérieure; McGill University

Program:

Accelerate

Programmable light for microscopy

Computational optics is the integration of algorithms to enhance optical imaging and exceed its physical limitations. The principles of computational optics can be used in microscopy by implementing programmable illumination to control the application of light onto tissue. MTT Innovation Inc.’s Light Steering Projection technology uses laser illumination, spatial phase modulation, and image processing algorithms to direct light from dark regions to brighter regions that require more light. This improves the dynamic range and contrast levels of resulting images. This research project will investigate the integration of programmable illumination into various imaging modalities commonly used in microscopy, including bright-field, dark-field, and phase contrast imaging. This project will also explore the feasibility of computational microscopy in monitoring the blood flow within the microcirculatory vessels of critically ill patients. By looking at these vessels, clinicians can tell how much oxygen organs in the body are receiving, which can aid in patient assessment.

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Faculty Supervisor:

Roger Tam

Student:

Partner:

MTT Innovation Inc

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Purification du graphite naturel pour son application dans les piles lithium ion (partie 2)

Le graphite naturel est un ingrédient essentiel pour la fabrication des piles Li-ion. Une pureté supérieure à 99,95 % est fortement souhaitée afin d’assurer l’efficacité à long terme des piles. Le graphite extrait des sites miniers contient des impuretés qui doivent être retirées avant de pouvoir être utilisé. Cependant, les techniques de purification actuelles nécessitent l’utilisation d’acide concentrée ou de température très élevée. Le but de ce projet est d’optimiser les conditions de purification du graphite naturel afin d’atteindre les niveaux de pureté exigés tout en respectant les objectifs de protection de l’environnement, d’efficacité énergétique et de développement durable. Les travaux effectués permettront à Nouveau Monde Graphite de mettre en place un procédé économiquement concurrentiel et respectant les plus hauts standards de qualité.

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Faculty Supervisor:

Gervais Soucy

Student:

Partner:

Nouveau Monde Graphite (Saint-Michel-des-Saints)

Discipline:

Engineering

Sector:

Mining

University:

Université de Sherbrooke

Program:

Accelerate

Toward a more Accessible Canada: Benchmarking and Analyzing Accessibility in Canadian Municipalities

The project aims to collect accessibility data in rural municipalities in six town across Canada. These six municipalities include Salmon Arm and Golden, BC., Sylvan and Banff AB., and Rosetown and Maple Creek, SK. The accessibility data will look at a variety of different features that will deem a public business (hotels, restaurants, public services, etc.) either accessible, partially accessible, or not accessible. This will benefit the Canadian community by having open access (public) data that will allow people to see where accessible businesses are in their communities or when they are traveling in Canada. This will also benefit AccessNow by adding to their app and giving them reliable data that might be hard to collect being that they are located in Ontario and our data will be coming from BC, AB and SK.

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Faculty Supervisor:

Victoria Fast

Student:

Partner:

Access Now

Discipline:

Sociology

Sector:

Information and cultural industries

University:

University of Calgary

Program:

Accelerate

DC Bus Capacitor Condition Monitoring for Low Voltage and Medium Voltage Power Cells

The goal of the project is to develop, implement, and validate novel condition monitoring algorithms that can detect the onset of a failure through changes in behavior of the DC bus capacitors in motor drives with no additional sensors. This is an important research area as detecting the onset of a potential failure is of a significant importance from both academic and industrial point of view. In addition, it will be beneficial for other power electronic applications.

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Faculty Supervisor:

Mehdi Narimani

Student:

Partner:

Rockwell Automation Canada

Discipline:

Engineering

Sector:

Manufacturing

University:

McMaster University

Program:

Accelerate

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