Projets novateurs réalisés

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

29 670 projets achevés

2811
AB
4990
C.-B.
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projets par catégorie

Simulation of the underwater vehicle

The internship will be centred on the simulation of the dynamics of the Proto towed vehicle platform. Go Beyond will produce an initial design for the intern to work with, which will strongly resemble a torpedo-shaped AUV. The Proto simulation research will take that design and study various aspects of its dynamics. The outcome of the project will be a functioning dynamical model of Proto, which will help to influence the real-world prototype.

Voir la description complète du projet
Superviseur du corps professoral :

Wei Qiu

Étudiant :

Partenaire :

Go Beyond Consulting Inc;Petroleum Research Newfoundland & Labrador

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Developing VR scenarios for the assessment of Atlas Copco’s products

The project will develop and test VR scenarios for the assessment of selected AC tools and products. This will help AC develop more usable next-generation products.

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Superviseur du corps professoral :

Francesco Biondi;Joel Cort

Étudiant :

Partenaire :

Atlas Copco Canada Inc.

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Windsor

Programme :

Accelerate

Creating Brand UX

Independent retailers can’t compete with the convenience and assortment offered by online and omnichannel retailers. At Fitzba.com, we are making local shopping as convenient as online. Our product development team is in a race to achieve product-market fit. We need a Brand UX intern to help us design the website’s user interface. But the other side of having a great product is telling people about it. The Brand UX intern will support the marketing team to execute brand strategy.

Voir la description complète du projet
Superviseur du corps professoral :

Tony Wigglesworth

Étudiant :

Partenaire :

Fitzba Technologies Inc.

Discipline :

Sociology

Secteur :

Information and cultural industries; Retail trade

Université :

Bow Valley College

Programme :

Business Strategy Internship

AI Global Pros : Prévision de la demande

Al Global Pros est une entreprise offrant des produits personnalisés aux besoins des entreprises. Pour un de leurs clients, ils ont développé un produit permettant de prédire la demande sur un catalogue de plusieurs milliers
de produits desservant plusieurs milliers de petites et moyennes entreprises partout au Canada.
Cependant, pour faire ces prédictions, ils utilisent un ensemble de modèles spécifiques qui dépendent de plusieurs caractéristiques des entreprises clientes finales (taille, localisation, spécialisations, etc.). Les objectifs de ce projet couvrent l’amélioration de la solution courante en tentant de prédire quel modèle sera le plus utile dans quelle situation, de voir si un seul modèle (ou un sous-groupe) peut être aussi performant que cet ensemble
de modèle, et de voir si des caractéristiques externes présentement non intégrées peuvent aider à la sélection et l’efficacité des modèles actuellement utilisés.
Ce projet vise donc à trouver une meilleure façon de prédire la demande des multiples produits selon les caractéristiques de leurs clients dans le meilleur temps, soit en construisant un modèle sélectionnant le meilleur modèle à utiliser, soit en construisant un modèle plus général sans perte de performance.

Voir la description complète du projet
Superviseur du corps professoral :

Christian Gagné

Étudiant :

Partenaire :

AI Global Pros Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

Turning Waste into Wealth: Valorization of Cocoa Pod Husks in Colombia for a Sustainable Bioeconomy

In this project,will explore how to turn waste from cocoa production, specifically cocoa pod husks, into useful products. We will study different ways these husks can be used, such as turning them into a source of clean energy, a component for skincare products, or even as a supplement in animal feed. Our aim is to make the process of producing cocoa, a key ingredient in chocolate, more sustainable and beneficial for everyone involved, from farmers to consumers. We hope to find new ways to use these husks that can benefit the environment and also create new business opportunities. In particular, we will focus our research on cocoa production in Colombia, one of the world’s top cocoa-producing countries. The ultimate goal is to help reduce waste, improve the local economy, and contribute to a healthier planet.

Voir la description complète du projet
Superviseur du corps professoral :

Heather Burke

Étudiant :

Partenaire :

Universidad Tecnológica de Pereira

Discipline :

Life Sciences

Secteur :

Agriculture and Food; Life Sciences (not health); Environmental Science and Technology

Université :

Memorial University of Newfoundland

Programme :

Globalink Research Award

Empowering Computer Vision Systems of Autonomous Vehicles with Tensorized Neural Networks

This project aims to make self-driving cars smarter and safer. Imagine a self-driving car that can see and understand everything around it, like a human driver. This project wants to create a special kind of computer brain for these cars, using something called “tensorized neural networks.” These networks are like super-powered tools for the car’s brain to understand what’s happening on the road. The goal is to help the car quickly notice when something unusual or dangerous is happening, like a person suddenly crossing the road. This will make self-driving cars much better at avoiding accidents and driving smoothly. The project will also compare this new brain to other methods, making sure it’s the best. This research could lead to safer and more trustworthy self-driving cars that we can use in our daily
lives.

Voir la description complète du projet
Superviseur du corps professoral :

Hina Tabassum

Étudiant :

Partenaire :

Multiverse Computing

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

York University

Programme :

Accelerate

The Short-Term Effects of Introduced Honeybees on Native Bees (Megachile spp., Osmia spp., and Hylaeus)(Hymenoptera) in a Mixed-Wood, Deciduous Forest in Haliburton, Ontario

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Voir la description complète du projet
Superviseur du corps professoral :

Sandy Smith

Étudiant :

Partenaire :

Haliburton Forest

Discipline :

Sociology

Secteur :

Forestry

Université :

University of Toronto

Programme :

Accelerate

Sending remittances from Canada: Trends, methods, costs, and economic benefits

I am interested in the phenomenon of immigrants in Canada sending remittances to their home countries. In my research, I would like to investigate cultural and personal reasons for remittances, the institutions used, and the fees charged to users. I also intend to analyze the short- and long-term economic consequences of remittance outflow on the Canadian economy. As of 2023, immigrants in Canada total about 20% of the population with 807 million USD in remittances sent from the country as of 2021. Therefore, this research would be quite helpful in further migration studies and policies, assisting them with up-to-date data analysis and theoretical foundations that can be implemented in practice.

Voir la description complète du projet
Superviseur du corps professoral :

Philippe Lord

Étudiant :

Partenaire :

Ivan Franko National University of Lviv

Discipline :

Sociology

Secteur :

Public Service, Policy, and Governance; Other

Université :

Université de Moncton

Programme :

Globalink Research Award

Experimental and modeling approaches to optimize repetitive task analysis in the automotive industry

Despite being a significant predictor of musculoskeletal injury, mitigating muscle fatigue in automotive assembly remains a significant challenge. Administrative controls, such as job rotation and work relief, are often employed
to reduce fatigue exposures, but little guidance is available on their optimal use-cases. The first objective of this project is to evaluate different relief/rotation schedules for several automotive manufacturing tasks using a
mathematical model that predicts muscle fatigue. Additionally, many ergonomics assessment tools rely on accurate measures of force, repetition and effort duration to determine acceptable force limits. However, accurately determining the duration of each effort is more difficult to quantify, but may dramatically influence recommendations when compounded hundreds of time per day. Consequently, the second sub-project aims to develop a library of force durations for common automotive manufacturing manual exertions. These two related sub-projects will produce very applied, real-world solutions for industry looking to mitigate worker muscle fatigue.

Voir la description complète du projet
Superviseur du corps professoral :

Nicholas La Delfa

Étudiant :

Partenaire :

Cort Research and Innovation Inc.

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Ontario Institute of Technology

Programme :

Accelerate

Glacial Influence on Groundwater Dynamics: A Case Study in Guelph, Ontario

The proposed project aims to enhance groundwater resource management in previously glaciated areas, focusing on a case study from Guelph, Ontario. Groundwater plays a vital role in various applications, including drinking water and industrial processes, necessitating a deep comprehension of subsurface dynamics. However, creating accurate geological models for groundwater modeling and contaminant remediation remains challenging, especially in regions with variable sediment distributions due to glaciation. This project seeks to address these challenges by leveraging existing datasets to develop a comprehensive geological model for Guelph’s groundwater system. This will involve analyzing the influence of past glacial processes on modern groundwater flow, examining sedimentation patterns, and investigating the relationship between the sediment?bedrock interface and both past and present hydraulics. The resulting model will contribute to more accurate groundwater management strategies, benefiting the City of Guelph as it seeks to optimize its water supply sources and protect water quality. Furthermore, the research’s broader applicability to previously glaciated areas worldwide will advance our understanding of groundwater flow patterns, contaminant migration pathways, and the impact of glacial dynamics on modern water resources. The partner organization, Matrix Solutions Inc., will benefit from improved groundwater modeling accuracy, aiding in their efforts to assess water supply sources, address land use impacts, and protect water quality and quantity for the City of Guelph.

Voir la description complète du projet
Superviseur du corps professoral :

Emmanuelle Arnaud;Beth Parker

Étudiant :

Partenaire :

Matrix Solutions Inc (Calgary, AB)

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

University of Guelph

Programme :

Elevate

Economic Development through Sustainable Forest Management at Haliburton Forest and Wildlife Reserve, Ontario, Canada

Master of Forest Conservation Candidates from the Faculty of Forestry at the University of Toronto will partake in the research and development of biochar in Haliburton Forest and Wildlife Reserve Ltd. Studies will provide a greater basis for certification and standardization of the product for use in forest systems and operations in Haliburton Forest, as well as in urban gardening applications as a soil amendment. The proposed research will contribute to the qualification of Haliburton Forest biochar as an assured, reliable product with valued marketable traits, as well as highly favorable ecological effects. Studies will also aim to establish and identify positive growth relationships between biochar and mushrooms of special interest for cultivation based on their desirable commercial properties in Haliburton Forest.

Voir la description complète du projet
Superviseur du corps professoral :

Sean Thomas

Étudiant :

Partenaire :

Haliburton Forest

Discipline :

Sociology

Secteur :

Forestry

Université :

University of Toronto

Programme :

Accelerate

Développement d’une diète pour la production industrielle du virus de la granulose spécifique aux carpocapses (Cydia pomonella)

La larve de carpocapse des pommes et des poires (Cydia pomonella) est l’un des principaux ravageurs des vergers au Canada. La demande pour des traitements alternatifs et durables aux insecticides chimiques est en croissance. BioTepp, une entreprise québécoise, est spécialisé dans la production in vivo d’un biopesticide dont l’agent actif est le virus de la granulose spécifique au carpocapse (CpGv). La diète commerciale présentement utilisée par l’entreprise pour la production du biopesticide représente environ 20 % des coûts de production du biopesticide en plus d’affecter la survie des larves et par conséquent, le rendement de production. Le but de ce projet est de formuler une diète optimisée en termes nutritionnels et de couts, adaptée aux contraintes associées à l’élevage des larves de carpocapses dans l’objectif de produire industriellement le virus CpGV. Ce projet permettra à BioTEPP, entreprise canadienne leader en bioprotection pour le secteur de la pomiculture, de poursuivre sa croissance, élargir ses marchés en supportant le secteur de la pomiculture biologique en croissance rapide ces dernières années.

Voir la description complète du projet
Superviseur du corps professoral :

Sylvie Turgeon

Étudiant :

Partenaire :

BioTEPP

Discipline :

Physics

Secteur :

Manufacturing

Université :

Université Laval

Programme :

Accelerate

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