Projets novateurs réalisés

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

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

Designing for AI/ML Human Interactions in Industrial Condition Monitoring

One challenge to industry adoption of products and services based on Machine Learning and Artificial Intelligence is that their inner workings are often not discernable to human operators. When operators can’t reason about theit tools they tend to make poor decisions about how and when to rely on them. This ultimately limkitsthe effectiveness and efficiency of these technologies in industrial applications. The objective of the proposed internship projects is to develop evidence-based design recommendations to make automated decision aids more transparent to operators, with the ultimate goal of promoting adoption of, reliance on, and effective interaction with these tools. We will explore the effects of a variety of manipulations to the work context and information provided to operators. Each of these projects is paired with an intern with prior academic and/or professional experience in AI/ML technologies. Their proposed MITACS Accelerate internships present an excellent opportunity to develop both their technical skills and their appreciation for the promises for, and challenges facing, AI/ML-based aids in industry.

Voir la description complète du projet
Superviseur du corps professoral :

Greg Jamieson;Ray Gosine

Étudiant :

Partenaire :

Ericsson Canada Inc (Quebec)

Discipline :

Engineering

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Contrôle des contaminants biologiques dans des cultures de microalgues

Le laboratoire Fesko cultive des microalgues afin de produire des molécules isotopiques pour le marché pharmaceutique. Une problématique de contamination biologique des cultures est apparue dans les dernières années et Fesko recherche des solutions afin de la contrôler et maintenir la productivité des microalgues. Deux méthodes seront étudiées pour identifier l’ensemble des microorganismes indésirables et en faire le suivi. Parallèlement, l’entreprise cherche à valoriser les surnageants récupérés suivant la séparation liquide-solide de bouillon de la culture. Une caractérisation préliminaire des surnageants sera effectuée afin d’identifier des molécules d’intérêt excrétées par les microalgues et pouvant être vendues par l’entreprise.

Voir la description complète du projet
Superviseur du corps professoral :

Tagnon Missihoun;Simon Barnabé

Étudiant :

Partenaire :

FESKO CONSULTANTS;Innofibre

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

Université du Québec à Trois-Rivières

Programme :

Accelerate

Modelling spatial variability of rock mass structural heterogeneity for pit slope stability analysis using a large-scale discrete fracture network (DFN) model

Improving the design and operation of open pit mines by better understanding and modeling of spatial variation of rock mass properties, can bring economic benefits to the mining industry. The proposed research project aims to develop an innovative large-scale discrete fracture network (DFN) model that is spatially constrained based on the recorded fracture data from geotechnical boreholes and photogrammetric mapping of bench face exposures in an open pit mine in Western Africa. The model allows 3D description of the natural fracture geometries and their spatial variation in different areas of the pit. The developed DFN model will be used for kinematic slope stability analysis of the pit slopes in bench and inter-ramp scales. The modeling results will be compared with the pit wall monitoring d

Voir la description complète du projet
Superviseur du corps professoral :

Kamran Esmaeili

Étudiant :

Partenaire :

Kinross Gold

Discipline :

Earth science

Secteur :

Mining

Université :

University of Toronto

Programme :

Accelerate

Modeling the effects of probiotics in Parkinson’s disease through human stem cell derived midbrain organoids

New studies have implicated the gut as the staging area for the start of Parkinson’s disease. Disruptions in the gut biota can promote the formation of toxic protein seeds that can move from the gut into the brain, spreading through the brain and causing progressive loss of neurons and problems with movement. It still needs to be proven if probiotics can help treat disease. We propose to examine this idea by testing how probiotics influence the function of neurons and other brain cells. Moreover, we will do so in 3D minibrain structures, a complex mix of neurons and support cells that is as close to a brain in a dish model as can be grown with current technology. In this study, we will study how the cells in the minibrain structures respond to probiotics and use this as a foundation to understand the gut-brain axis in Parkinson’s disease.

Voir la description complète du projet
Superviseur du corps professoral :

Thomas Durcan

Étudiant :

Partenaire :

Lallemand Bio Ingredients

Discipline :

Life Sciences

Secteur :

Agriculture; Manufacturing; Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

Development and integration of feature detection algorithms for metal-based direct deposition processes

Metal-based direct energy deposition processes, such as robotic welding and laser powder fed additive manufacturing, ideally require feedback sensing of the deposition quality using vision detectors. Image processing algorithms are challenging to develop due to changing process operating conditions. Despite challenges, implementing in-process image processing algorithms is beneficial for traceability and quality assurance, for calibrating process models, and for developing closed loop control algorithms which are able to maintain deposition quality within acceptable quality margins. The objective of this research is to develop and integrate feature detection algorithms which are adaptive to the changing operating conditions typically present in metal-based direct energy deposition processes. Such algorithms are directly applicable to low-cost and industrially relevant high dynamic vision detectors. The outcomes will apply directly to future in-process vision-based sensing of features such as, but not limited to, process signatures (melt-pool size and shape, plasma plume characteristics, intensity map, particle ejections) and/or deposition qualities (geometry, continuity).

Voir la description complète du projet
Superviseur du corps professoral :

Mihaela Luminita Vlasea

Étudiant :

Partenaire :

Xiris

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Waterloo

Programme :

Accelerate

Analyse dynamique de bâtiments industriels supportant des équipements vibratoires attachés avec des supports flexibles

Ce projet de recherche a pour objectif principal d’optimiser l’évaluation des limites de vibration dans les bâtiments industriels supportant un tamis vibrant attaché à la structure avec des supports flexibles.
Afin d’obtenir les résultats réalistes d’une analyse de structure supportant des tamis, les ingénieurs dans la pratique sont souvent confrontés à la modélisation complexe de celle-ci. La difficulté de l’analyse repose sur le choix du modèle numérique et dans l’application des charges dynamiques fournies par le fabricant de ces équipements.
La méthodologie proposée dans ce projet de recherche consiste à évaluer la fiabilité du modèle d’analyse dynamique à utiliser pour obtenir les vibrations qui seront comparées aux limites de vibration à respecter dans les critères de conception.
Ce projet de recherche permettra ainsi d’augmenter le niveau d’exactitude de la formulation des hypothèses de conception de structures soumises à des charges dynamiques et d’accélérer le temps requis par les ingénieurs en pratique pour faire une analyse dynamique.

Voir la description complète du projet
Superviseur du corps professoral :

Rola Assi

Étudiant :

Partenaire :

BBA Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

École de technologie supérieure

Programme :

Accelerate

XFEM-based fatigue crack growth simulation and surrogate model development for probabilistic remaining fatigue life prediction of pipelines

Pipelines have significantly contributed to the Canadian energy industry and overall economy. Specifically, nearly 60% of energy consumed in Canada comprises of oil and gas delivered through pipelines. However, in pipeline steel, many failures were caused by cracks during pipeline operation. The proposed research project aims at developing a reliable and effective tool to predict fatigue crack growth under cyclic fatigue loading. Specifically, this project will explore the use of the newly developed extended finite element method (XFEM) for fatigue crack growth modeling in conjunction with well-established fatigue crack growth laws. The XFEM models will be validated and further used to develop efficient data-driven models. The surrogate models will eventually be used with the data from real-world pipelines, including SCADA (supervisory control and data acquisition) data and ILI (in-line inspection) data to predict the remaining fatigue life of pipelines.

Voir la description complète du projet
Superviseur du corps professoral :

Yong Li;Samer Adeeb

Étudiant :

Partenaire :

C-FER Technologies

Discipline :

Engineering

Secteur :

Mining; Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

Impact de l’utilisation d’un modèle périodique autorégressif et à moyenne mobile dans la gestion moyen-terme de la production hydroélectrique

Pour planifier à moyen-terme un système hydroélectrique, il est nécessaire de déterminer une politique de gestion de ses réservoirs, c’est-à-dire la quantité d’eau à utiliser à chaque semaine pour répondre à une demande électrique ou d’autres contraintes. Cette politique de gestion couvre un horizon allant jusqu’à 2 ans et doivent tenir compte de la principale source d’incertitude : le volume d’eau reçu par le système dans le futur. En utilisant des modèles hydrologiques et statistiques plus complexes, on peut représenter plus fidèlement les caractéristiques de la distribution de ce volume d’eau. Nous nous proposons de développer une méthode de calcul d’une politique basée sur l’utilisation d’un modèle multiplicatif autorégressif et à moyenne mobile et d’en tester l’efficacité dans un contexte de gestion normale, puis d’intégration des énergies renouvelables variables à Hydro-Québec Production.

Voir la description complète du projet
Superviseur du corps professoral :

Michel Gendreau

Étudiant :

Partenaire :

Hydro-Québec Production

Discipline :

Mathematics

Secteur :

Utilities

Université :

Polytechnique Montréal

Programme :

Accelerate

Ovarian Cancer Research Program

Ovarian cancer has a high mortality rate and cannot be detected by screening. Strategies to decrease the burden of OC in Canada will need to improve the delivery of effective prevention, particularly risk-reducing surgery. This initiative is designed to execute three projects that focus on possible strategies to improve the effective delivery of evidence-based OC prevention for women in NL.

Voir la description complète du projet
Superviseur du corps professoral :

Lesa Dawson;Brenda Wilson;Kathleen Hodgkinson;Holly Etchegary

Étudiant :

Partenaire :

Belles with Balls

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Memorial University of Newfoundland

Programme :

Accelerate

A Holistic Analysis of the Role of Canada in the EU’s Socialized Constitutionalization of the WTO

Canada and the EU are traditional allies in promoting the UN’s sustainable development goals (SDGs). As many scholars note, the WTO is an indispensable forum for realizing these laudable goals, for instance, the goal 13 fighting against climate change, for the WTO is nearly the only international organisation that has ability to enforce the implementation of these 17 SDGs, relying on its sound dispute settlement body and considerable economic interest associated with itself. Nevertheless, the WTO is used to give priority to economic issues rather than environmental issues and human rights-based issues over decades. From a European perspective, the means that is able to change the current WTO into a sustainable trade organisation is socialised constitutionalization of the WTO. Despite a similar constitutional tradition as that of the EU, is Canada going to support the EU’s proposal due to its national interest? If so, how, and to what extent, Canada can play a role in the socialised constitutionalization of the WTO?

Voir la description complète du projet
Superviseur du corps professoral :

Jie Jiao

Étudiant :

Partenaire :

Université de Lausanne

Discipline :

Sociology

Secteur :

Commercial Services; Public Service, Policy, and Governance; Sustainability & the Environment

Université :

Université de Montréal

Programme :

Globalink Research Award

Numerical Simulations on exotic magnetic materials

Data storage devices as hard drives or solid state disks rely on the magnetic properties of special materials. As the amount of data produced is increasing every day; new, more efficient, with more storage capacity, and faster devices are needed. One plausible option is to investigate exotic magnetic materials. We will run numerical simulations to study these exotic magnetic materials considering specific parameters as size, temperature, and magnetic properties. We expect by the end of the stay to be able to determine the most favorable experimental conditions to utilize such materials.

Voir la description complète du projet
Superviseur du corps professoral :

Theodore Monchesky

Étudiant :

Partenaire :

Universidad Nacional Autónoma de México

Discipline :

Physics

Secteur :

Education

Université :

Dalhousie University

Programme :

Globalink Research Award

Biomimetic functional coating for flux control

We would like to develop slippery liquid infused surfaces for molding applications. Molding technology is of great importance in industry and understanding the wetting behavior of molding liquids (polymers/metals) is of fundamental interest and non-trivial as well because of the involved phase transition from liquid to gel/solid upon cooling. Thus, both wetting and post solidification adhesion needs to be accounted for while designing a surface. Often a de-wetting mold-liquid combination is desirable as it facilitates separation of the final product from mold cavity and prevents formation of unwanted defects due to sticking of molten liquids to the surface. We intend to address this by designing slippery liquid infused coatings. This novel surface manipulation technique was conceptualized independently by the groups of Aizenberg and Quéré in 2011. They proposed infusing a textured porous substrate with a wetting liquid to create pressure-stable slippery outer layer, which exhibits excellent liquid repellency and self-cleaning properties by making undesirable liquids slide off and wipe away surface contaminants in the process. In this collaborative project, we intend to utilize our knowledge on wetting behavior in conjunction with the advanced material processing and characterization facilities at NIMS to tackle this fundamentally interesting problem of significant practical relevance.

Voir la description complète du projet
Superviseur du corps professoral :

Sushanta Mitra

Étudiant :

Partenaire :

National Institute for Materials Science

Discipline :

Engineering

Secteur :

Nanotechnology; Advanced Manufacturing; Technology

Université :

University of Waterloo

Programme :

Globalink Research Award

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