Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

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.

Voir la description complète du projet
Superviseur du corps professoral :

Robert Martinuzzi

Étudiant :

Partenaire :

May-Ruben Technologies

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Calgary

Programme :

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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Superviseur du corps professoral :

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

Étudiant :

Partenaire :

Ultra Intelligence & Communications

Discipline :

Engineering

Secteur :

Information and cultural industries; Manufacturing

Université :

École de technologie supérieure; McGill University

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Roger Tam

Étudiant :

Partenaire :

MTT Innovation Inc

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Gervais Soucy

Étudiant :

Partenaire :

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

Discipline :

Engineering

Secteur :

Mining

Université :

Université de Sherbrooke

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Victoria Fast

Étudiant :

Partenaire :

Access Now

Discipline :

Sociology

Secteur :

Information and cultural industries

Université :

University of Calgary

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Mehdi Narimani

Étudiant :

Partenaire :

Rockwell Automation Canada

Discipline :

Engineering

Secteur :

Manufacturing

Université :

McMaster University

Programme :

Accelerate

Toronto Arts Council Partnership for Research on Funding of Equity Seeking Artists in Toronto

Toronto Arts Foundation (TAF) and the Diversity Institute are partnering to analyze arts funding outcomes for Persons of Colour, Indigenous Persons, Deaf Persons, Persons with Disabilities and Persons Living with Mental Illness, as well as 2SLGBTQAP Persons in Toronto. This project will identify barriers faced by these marginalized groups when applying for arts funding in Toronto from five major funders including TAF’s sister organization, Toronto Arts Council. A final report will provide an evaluation of TAC’s ability to adequately fund artists, arts organizations, and artistic communities from these groups in relation to other major funders in the city.
Using a Gender- and Diversity-Based Analysis (GBA+), the project will analyze both qualitative and quantitative data on funding success rates and gaps that exist within the city’s arts sector. The purpose of a GBA+ strategy is to improve an organization’s capacity to better measure and improve their processes for enhancing gender equity and inclusion of marginalized groups.

Voir la description complète du projet
Superviseur du corps professoral :

Wendy Cukier

Étudiant :

Partenaire :

Toronto Arts Foundation

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

Toronto Metropolitan University

Programme :

Accelerate

Industry & University Partnership in Developing Highly Qualified People to Address the Human Resources Challenge of the Global Mining Industry

There is a global human resources shortage in the mining industry due to a number of factors including demographics affecting supply and projected production growth affecting demand. Companies are struggling to develop and retain Highly Qualified People (HQP) who are essential to the successful operation of their business. HQP have an invaluable combination of technical postsecondary education and lengthy industry experience which takes many years to achieve. In my seven years working at the UBC Engineering Co-op Program I’ve developed relationships with hundreds of people related to the mining industry such as students, faculty, staff at other universities in Canada, senior engineers, and human resources. I plan to collect data through surveying mining alumni from schools across Canada and interview industry experts to support my hypothesis on the impact that university and industry partnership can have on addressing some of the greatest human resources challenges of the mining industry.

Voir la description complète du projet
Superviseur du corps professoral :

Malcolm Scoble

Étudiant :

Partenaire :

New Gold Inc

Discipline :

Engineering

Secteur :

Mining

Université :

The University of British Columbia

Programme :

Accelerate

Bamboo and agri-fibers for disposable food packaging

The Government of Canada looks to phase out single use, non-biodgradeable plastics starting in 2021. There is little comparative information for Canadian vendors and consumers on the true sustainability of even so-called ‘green’ packages. The project aims to examine the potential for manufacturing of fully, and safely compostable takeout food containers using Canadian agri-fibres and other high-performance non-wood fibres such as bamboo. The project will gather critical knowledge about the properties and suitability of various non-wood fibres for moulded pulp containers. It will formulate, fabricate and test prototype products developed in BC. The project will also survey and evaluate the local and wider market for disposable takeout food packaging products.

Voir la description complète du projet
Superviseur du corps professoral :

Chunping Dai

Étudiant :

Partenaire :

Bambooers Lifestyle Concept Ltd

Discipline :

Engineering

Secteur :

Agriculture

Université :

The University of British Columbia

Programme :

Accelerate

Développement d’un système d’imagerie acoustique temps-réel pour localiser les sources de bruit en milieux de travail

Au Québec, plus de 350 000 travailleurs sont exposés quotidiennement à des niveaux de bruit nocifs. Les trois méthodes pour réduire le bruit sont : éliminer la source de bruit, ajouter des matériaux absorbants ou porter des protecteurs auditifs. Bien que cette dernière méthode soit la plus simple, elle n’est pas assez efficace. Pour mettre en place les deux autres méthodes, il est nécessaire de localiser les sources de bruit. Comme il n’est pas possible de voir le bruit à l’oeil nu, l’imagerie acoustique devient une solution efficace, puisqu’elle permet de visualiser les sources de bruit. Ce projet vise à développer un prototype d’imagerie acoustique permettant d’envoyer en temps réel le bruit détecté par des microphones et des caméras sous forme d’images à un ordinateur. Ce prototype permettra d’identifier rapidement les sources de bruit et facilitera la mise en place de solutions de réduction de bruit.

Voir la description complète du projet
Superviseur du corps professoral :

Olivier Doutres;Nicolas Quaegebeur

Étudiant :

Partenaire :

Université de Sherbrooke

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology; Technology; Manufacturing and Construction

Université :

École de technologie supérieure; Université de Sherbrooke

Programme :

Accelerate

BETSY – Bovine Expert Tracking and Surveillance

OneCup provides cattle management solutions to the livestock industry. Our AI is called BETSY – Bovine Expert Tracking and Surveillance. Using artificial intelligence, we put a rancher’s skillset into a device the size of a small book. With several types of cameras, BETSY can ID and track cattle activity 24×7. For example, she can track an animal’s growth over a season, or determine if an animal is suffering from a disease or lameness. When BETSY finds something that requires human intervention, she texts or emails a human immediately. Combined with historical tracking, a rancher can access a detailed view of a herd’s entire history, down to the individual animal level.

Voir la description complète du projet
Superviseur du corps professoral :

Jiannan Wang

Étudiant :

Partenaire :

Onecup AI

Discipline :

Computer science

Secteur :

Artificial Intelligence; Agriculture and Food; Technology

Université :

Simon Fraser University

Programme :

Accelerate

Physics-enhanced machine learning to optimize a state-of-the-art manufacturing process

We are bringing together modern techniques in Bayesian machine learning to optimize process parameters for a state-of-the-art semiconductor fabrication process. The challenge is that while the process contains complex underlying dynamics and some degree of stochasticity, there are a large number of process parameters and a small number of samples to use for model training and validation. Thus, efficiently modelling the process phase space is of paramount importance. The goal is to predict several key material properties, and our approach involves embedding physics knowledge into the models so that the parameter space can be searched efficiently and in accordance with known physical constraints. The bayesian approach will enable us to estimate both the optimal parameters and also the sensitivities of the process to its inputs. These modules will be combined into a hierarchical machine learning platform to replace existing design of experiment requirements and eliminate calibration runs. The purpose of this work is to demonstrate that accurate models of manufacturing processes can be made without the use of computationally expensive and unnecessarily complex techniques. The expected benefit for the partner company is to ultimately productize this approach and deliver to manufacturers to increase throughput and yield.

Voir la description complète du projet
Superviseur du corps professoral :

Rafael Kleiman

Étudiant :

Partenaire :

Circuit Mind Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

McMaster University

Programme :

Accelerate

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Mitacs — Retour sur innovation

Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.