Innovative Projects Realized

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

29670 Completed Projects

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Projects by Category

Évaluation du confort des passagers dû à l’interaction dynamique du système train-rail-pont

Ce projet de recherche a pour objectif principal d’évaluer le confort des passagers dans la cabine d’un train léger lorsque soumis à des accélérations verticales résultant de l’interaction dynamique du système Train-Rail-Pont. Afin d’obtenir des résultats réalistes, une analyse dynamique détaillée par éléments finis s’avère nécessaire. La méthodologie proposée dans ce projet consiste à évaluer les accélérations verticales dans la cabine en deux étapes: un modèle incluant le rail et le pont pour évaluer les accélérations verticales au niveau roues-rails; ces dernières seront utilisées comme données d’entrée pour l’analyse du modèle par éléments finis de la cabine du train. Ce projet de recherche permettra ainsi d’augmenter le niveau d’exactitude de la formulation des hypothèses d’analyse et de conception de structures de ponts ferroviaires et de minimiser les erreurs de calcul pouvant compromettre le confort des passagers.

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Faculty Supervisor:

Rola Assi

Student:

Partner:

WSP Canada Inc

Discipline:

Engineering

Sector:

Construction; Transportation (excluding aerospace)

University:

École de technologie supérieure

Program:

Accelerate

Intact – Analyse et extraction de caractéristiques de voitures à partir d’images

Intact Corporation financière est le plus important fournisseur d’assurances multirisques au Canada en primes annuelles.
Intact vise à offrir un service de réclamations accéléré à ses clients. Au moment d’ouvrir une réclamation, Intact demande d’ores et déjà à ses clients de fournir des images du véhicule qui permettent d’identifier préalablement la condition générale du véhicule. Il sera demandé au client de mettre en évidence la pièce d’équipement endommagée, en s’assurant que celle-ci est bien visible dans l’image.
Le stagiaire aura ainsi à extraire l’information de manière automatique à partir des images qui seront attachées au dossier. Intact souhaite ensuite explorer différents filons grâce à l’apprentissage automatique supervisé pour raccourcir les étapes jugées critiques dans le processus de réclamation.
La satisfaction des clients est grandement influencée par le temps requis pour régler une réclamation. Ce projet vise principalement raccourcir ces délais et à améliorer la productivité des employés assignés aux réclamations.

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Faculty Supervisor:

Christian Gagné;Jean-Francois Lalonde

Student:

Partner:

Intact

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology

University:

Université Laval

Program:

Accelerate

Vortex Shedding forturbulent waves inVideo Games

Animated fluid effects based on physical simulation have been a staple part of visual effects industry. They are characterized by offline simulation and rendering that produces highfidelity dynamics and visuals. As the technology for computer games advances, the opportunity to create such effects in real-time as either a playback technique or dynamic simulation is becoming feasible. The internship will explore the use of vortex shedding techniques to produce turbulent waves and their effectiveness for use in video games.

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Faculty Supervisor:

Robert Bridson

Student:

Partner:

Microsoft Canada

Discipline:

Computer science

Sector:

Information and Communications Technology

University:

The University of British Columbia

Program:

Accelerate

Confiance, identité, sécurité et vie privée : exploiter la synergie des forces dualistes

L’identification représente un enjeu important en cybersécurité parce que, si une entité non-autorisée arrive à se faire passer pour une entité autorisée qui demande l’accès à un système, cela mène généralement à un vol de données. Au-delà de l’enjeu technique, il s’agit d’un enjeu de confiance : chaque entité doit avoir confiance en l’autre entité qu’elle dit la vérité et qu’elle protégera les données confidentielles. Dans ce contexte, gagner la confiance est un processus complexe et risqué sur lequel on en sait très peu. Ce projet explore ce processus et cherche à tirer profit de la synergie des forces dualistes présentes (faire confiance, protéger les données, s’identifier, protéger sa vie privée) pour proposer une méthodologie robuste et éthique pour la commercialisation d’un service de validation d’identité développé par notre organisme-partenaire.

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Faculty Supervisor:

Alina Maria Dulipovici

Student:

Partner:

ID-M

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

HEC Montréal

Program:

Accelerate

Bentley – Catégorisation sémantique et identification des sous-composants d’infrastructures civiles à partir de modèles 3D

De plus en plus de projets d’infrastructure sont réalisés entièrement par ordinateur. Bentley Systems développe plusieurs logiciels permettant la création, la revue et la visualisation de ces modèles 3D, sous forme de maillages (mesh) ou de modèles CAD/CAO. Bien que ces représentations offrent des possibilités inédites pour les experts, elles se révèlent difficiles à utiliser dans certains contextes, en particulier ceux requérant une introspection – en d’autres termes, considérer la nature et la raison d’être des objets au lieu de leur forme géométrique et leurs caractéristiques physiques.
Bentley souhaite développer des procédés innovants pour permettre aux utilisateurs de ses logiciels de tirer pleinement parti de la puissance de ces représentations 3D. Dans ce projet, nous nous intéressons à la catégorisation sémantique et à l’identification des sous-composants d’un projet d’infrastructure. L’accent sera mis sur les infrastructures civiles de transport telles que les routes et les ponts, en ayant pour but de mettre en place une méthode capable, par exemple, de catégoriser automatiquement les différentes parties d’une assise routière et d’adapter cette catégorisation aux besoins de chaque utilisateur.

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Faculty Supervisor:

Christian Gagné;Denis Laurendeau

Student:

Partner:

Bentley Systems Canada

Discipline:

Computer science

Sector:

Technology; Information and Communications Technology

University:

Université Laval

Program:

Accelerate

Development and dynamics of cuticle pattern on Arabidopsis thaliana sepal surface

Structure and composition of plant cell walls are crucial in development. Especially important are the surface walls of the organ, which are the stiffest and separate plant from the outside world. Surface of these walls is a film of waxes and fatty acids called the cuticle. An interesting phenomenon related to properties of the organ surface is formation of a characteristic cuticle pattern on the cell wall surface during organ development. There are two theoretical models explaining formation process. Both assume that cuticular ridges are formed by buckling of the outermost layer of the cell wall, but differ in assumptions. Despite these differences, the models can generate the same cuticular patterns, similar to those observed in nature. Therefore, detailed empirical investigations on cell surface growth and shape changes that accompany the formation of cuticular patterns, as well as the assessment of biomechanical parameters of the cell wall are necessary to verify the models or propose the new one. This is the aim of the project.

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Faculty Supervisor:

Daniel Kierzkowski

Student:

Partner:

University of Silesia

Discipline:

Life Sciences

Sector:

Biotechnology; Education; Environmental Science and Technology

University:

Université de Montréal

Program:

Globalink Research Award

Hybrid recommender system with multi-source data and social knowledge graph integration

Accurately recommending items of interests is essential for users to improve their experience. To acquire better performance, a recommender system can utilize multiple sources of data and the social knowledge graph. This can lead to efficient use of information to improve the recommender system. By exploring the data and extract crucial features to feed to designed models, the recommending engine can increase its performance dramatically. Furthermore, a social knowledge graph contains the description and relation of users, which can act as a knowledge base for inference. By fusion of those techniques, the resulting recommender system can be optimized.

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Faculty Supervisor:

Peter Marbach

Student:

Partner:

AppDirect Canada Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Mineral carbonation for global warming mitigation and concurrent nickel and cobalt extraction from laterites

Both global warming and increasing supply of nickel and cobalt are urgently world-wide issues to be addressed. Mineral carbonation is a promising method to permanently store greenhouse gas CO2 into stable mineral carbonates but energy-intensive requirements and low-value products limit the successful application. Meanwhile, with the increasing demand on global nickel and cobalt supply for electrical vehicles and gradual decrease of nickel sulphides deposit, it becomes more important to extract nickel and cobalt from dominant laterites of nickel resources. However, poor selectivity and hazardous wastes detrimentally affect surrounding environments and communities. In fact, these two global issues can be potentially addressed in an integrated process by utilizing mineral carbonation to concurrently and selectively extract nickel and cobalt from laterites. This project is to develop an innovative and environmentally-friendly process which can selectively extract nickel and cobalt extraction from laterites for industries and also simultaneously sequester CO2 for global warming mitigation.

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Faculty Supervisor:

David Dreisinger

Student:

Partner:

LeadFX

Discipline:

Engineering

Sector:

Mining

University:

The University of British Columbia

Program:

Accelerate

Pathways to a More Inclusive Labor Market in Calgary

An inclusive economy aims to provide all members of society with the opportunity to contribute to and benefit from a community’s economic activities and systems. Calgary Economic Development acknowledges that helping all Calgarians achieve their personal potentials is imperative to leveraging Calgary’s rich diversity to bring innovation and creativity into our industries and businesses. However, we are still facing challenges regarding diversity, equity and inclusion in Calgary labour market. Through this project, we intend to further Calgary Economic Development’s understanding of: a) how inclusive is Calgary’s economy? b) what are some identified causes of varying labor force outcomes in Calgary, and c) what are some tangible next steps to address varying labor force outcomes?

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Faculty Supervisor:

Atsuko Tanaka

Student:

Partner:

Calgary Economic Development Ltd.

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

University of Calgary

Program:

Accelerate

Quantifying the value of community science data for conservation

Community science, the public participation and collaboration in monitoring and research, is rapidly emerging as an effective means to collect vast quantities of data in a cost-efficient manner. This may prove invaluable to conservation efforts, as using crowd-sourced data to inform decisions can allow managers to redirect limited funds towards action rather than monitoring. My research investigates how integrating community science data with professional monitoring can improve our understanding of how birds make use of agricultural land during migration. Money saved by using the freely available community science data can then be redirected to compensate farmers for taking part in conservation initiatives to benefit these species. My work will explore how we can augment our knowledge of dynamic ecosystems while reducing the cost to do so, benefiting both farmers and biodiversity.

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Faculty Supervisor:

Joseph Bennett

Student:

Partner:

University of Queensland

Discipline:

Life Sciences

Sector:

Sustainability & the Environment; Environmental Science and Technology; Agriculture and Food

University:

Carleton University

Program:

Globalink Research Award

Development of a standardized assay for after cooking darkening by which to support cultivar selection for breeding program and timing from storage for optimum processing (continued).

Two types of color changes occur in potato, raw potato darkening and after cooking darkening. We are investigating the factors behind each type of darkening in three potato cultivars (Chieftain, Goldrush, and Yukon Gold). Effect of digging method (hand/mechanical) and storage time (after 3, 5, and 7 mo) were studied to find if the digging method and/or storage has any effect on darkening. In addition we are developing a digital photography system and color intensity measuring software to use in industry as an inexpensive, quick, and more accurate determination of potato discoloration. Digital photography and color measuring software will eventually replace visual scoring of potato discoloration which is currently used in industry.

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Faculty Supervisor:

Danielle Donnelly

Student:

Partner:

Patates Dolbec Inc;Centre de Research Les Buissons;Fonds de Promotion; Association des Emballeurs de Pommesde Terre du Quebec;Federation des Producteurs de Pommes de Terre du Quebec

Discipline:

Earth science

Sector:

Agriculture

University:

McGill University

Program:

Accelerate

AI-Powered Wireless Human Activity Recognition for Safety and Health Improvement

Human’s gait, and activity monitoring play important roles in many applications that can have a positive impact on improving the ability of individuals to be as independent, secure, and healthy as possible. Most existing technologies rely on cameras and wearables, while people are not always compliant and need to be wearing them with a battery charge for them to work. Camera-based sensors, on the other hand, systems are sensitive to high-contrast light and poor visibility conditions and suffer from obstructed line-of sight conditions and privacy concerns. The purpose of this research project is to develop zero e?ort and wireless sensors for independent and autonomous gait monitoring and activity recognition.

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Faculty Supervisor:

Plinio Pelegrini Morita;George Shaker

Student:

Partner:

TandemLaunch Inc

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology; Advanced Manufacturing; Information and Communications Technology

University:

University of Waterloo

Program:

Accelerate

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