Projets novateurs réalisés

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

30 508 projets complétés

2882
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5105
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825
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681
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860
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9051
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9491
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97
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586
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1141
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Projets par catégorie

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.

Voir la description complète du projet
Superviseur du corps professoral :

Robert Bridson

Étudiant :

Partenaire :

Microsoft Canada

Discipline :

Computer science

Secteur :

Information and Communications Technology

Université :

The University of British Columbia

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Alina Maria Dulipovici

Étudiant :

Partenaire :

ID-M

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

HEC Montréal

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Christian Gagné;Denis Laurendeau

Étudiant :

Partenaire :

Bentley Systems Canada

Discipline :

Computer science

Secteur :

Technology; Information and Communications Technology

Université :

Université Laval

Programme :

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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Superviseur du corps professoral :

Daniel Kierzkowski

Étudiant :

Partenaire :

University of Silesia

Discipline :

Life Sciences

Secteur :

Biotechnology; Education; Environmental Science and Technology

Université :

Université de Montréal

Programme :

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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Superviseur du corps professoral :

Peter Marbach

Étudiant :

Partenaire :

AppDirect Canada Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

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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Superviseur du corps professoral :

David Dreisinger

Étudiant :

Partenaire :

LeadFX

Discipline :

Engineering

Secteur :

Mining

Université :

The University of British Columbia

Programme :

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?

Voir la description complète du projet
Superviseur du corps professoral :

Atsuko Tanaka

Étudiant :

Partenaire :

Calgary Economic Development Ltd.

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

University of Calgary

Programme :

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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Superviseur du corps professoral :

Joseph Bennett

Étudiant :

Partenaire :

University of Queensland

Discipline :

Life Sciences

Secteur :

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

Université :

Carleton University

Programme :

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.

Voir la description complète du projet
Superviseur du corps professoral :

Danielle Donnelly

Étudiant :

Partenaire :

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

Secteur :

Agriculture

Université :

McGill University

Programme :

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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Superviseur du corps professoral :

Plinio Pelegrini Morita;George Shaker

Étudiant :

Partenaire :

TandemLaunch Inc

Discipline :

Engineering

Secteur :

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

Université :

University of Waterloo

Programme :

Accelerate

Automatic Creation of Fertility Maps in Precision Agriculture

One of the important problems in farming is to decide on variable fertilizer rates based on the inputs about varying soil types and some other factors. This is a key component for optimizing productivity and sustainability in precision agriculture. The main objective of this project is to use datasets captured by satellite imaging to develop computer algorithms for:
1. automatic creation of fertility maps to guide soil test points selection,
2. visual analytic tools to help agronomists to make decisions about variable fertilizer rates and yield goals of crops across multiple fields.

Voir la description complète du projet
Superviseur du corps professoral :

Faramarz Samavati

Étudiant :

Partenaire :

Decisive Farming Corp.

Discipline :

Computer science

Secteur :

Agriculture and Food; Information and Communications Technology; Sustainability & the Environment

Université :

University of Calgary

Programme :

Accelerate

AI-empowered Robust Ad-hoc Underwater Tactical Wireless Networks: Sensing & Threat Classification

This project is part of a longstanding continuous collaboration between Ultra and École de technologie supérieure that seeks to leverage the advancements of artificial intelligence (AI) to design a comprehensive framework for a robust ad-hoc underwater tactical wireless networks (AUTWNs). The network will be featured with privacy preserving mechanism to assist threat classification and self-organizing capabilities. AUTWNs play a significant role in the success of maritime and warfare missions, naval and underwater disaster relief operations, and many more. Ultra is a global leader in AUTWNs; their customers include the Five-Eyes nations and others. As part of its strategic research and development plan, Ultra is planning to upgrade its underwater wireless communication (UWC) systems. The current state-of-the-art AUTWNs require constant human intervention, for network configuration and reconfiguration in case of failure, threat management and classification, etc. The current advancements in AI make such a reliance on humans a huge vulnerability, which motivates this project. Furthermore, the key-concepts and core-technologies developed under this project are not only imperative for tactical and emergency applications, but they are also of significant value for scientific and environmental applications to monitoring underwater environments.

Voir la description complète du projet
Superviseur du corps professoral :

Georges Kaddoum

Étudiant :

Partenaire :

Ultra Intelligence & Communications

Discipline :

Engineering

Secteur :

Information and Communications Technology; Artificial Intelligence; Ocean Tech

Université :

École de technologie supérieure

Programme :

Accelerate

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