Projets novateurs réalisés

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

29 670 projets achevés

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801
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Projets par catégorie

Development of a support tool for product maintenance using augmented reality

Augmented Reality (AR) provides real-time interactive instructions to improve efficiency and accuracy of product maintenance processes. Although different methods have been proposed for the AR-based product maintenance, there is a lack of methods of automatic product disassembly and assembly planning under the AR environment. This project develops an AR-based tool for product maintenance instructions. The maintenance targets are modeled, tracked and simulated in an AR user interface developed to facilitate the guide and visualization of maintenance operations. The maintenance detail is provided by an AR device in the operation. The developed tool can be applied in industrial maintenance and operation training.

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Superviseur du corps professoral :

Qingjin Peng

Étudiant :

Partenaire :

North Forge

Discipline :

Engineering

Secteur :

Education; Management of companies and enterprises; Professional, scientific and technical services

Université :

University of Manitoba

Programme :

Accelerate

Toxplainer : Bias identification and explanation in a toxicity detection language model

Online multiplayer games continue to see an increase in their popularity and their playerbase is becoming increasingly diverse. At the same time, there is a concerning amount of harm and harassment found in text chat which prevents games from being safe and inclusive online spaces. Current detection solutions and moderation systems falls short of addressing this issue at scale. More innovative automated detection tools, that use machine learning to consider the context of the chat rather than a list of keywords, are the first steps towards a solution that can treat a large quantity of data easily. However, these tools use large language models that are known to perpetuate social biases in their applications which hampers their effectiveness and can harm the very communities they are intended to protect. The purpose of this project is to identify identity-based biases and explain their sources in language models trained to detect toxicity in online multiplayer games’ text chat. The findings from this research are expected to contribute to the creation of more inclusive online spaces in multiplayer games through effective and fair harm detection tools.

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Superviseur du corps professoral :

Grégoire Winterstein

Étudiant :

Partenaire :

Ubisoft Toronto

Discipline :

Sociology

Secteur :

Information and cultural industries; Manufacturing

Université :

Université du Québec à Montréal

Programme :

Accelerate

Création d’un indice socio-économique et portrait socio-économique des Laurentides

Création d’un indice socio-économique pour la région des Laurentides afin de soutenir les décideurs et les entreprises dans leur choix d’affaires.
Pour projet Indice économique-Innovation :
L’indicateur économique/innovation des Laurentides qui sera créé, s’appuiera notamment sur des travaux du Conseil de l’Innovation, et vise à mesurer certains paramètres des entreprises des Laurentides afin de mieux outiller les décideurs et les entrepreneurs dans leurs choix d’affaires. De plus, le volet concernant les profils socio-économiques des huit MRC des Laurentides, s’inscrivent dans un projet visant à mettre l’intelligence collective du territoire de l’avant en préconisant la concertation pour favoriser le développement économique, aider le développement de la région et outiller ses acteurs économiques.

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Superviseur du corps professoral :

Frédéric Laurin

Étudiant :

Partenaire :

Connexion Laurentides

Discipline :

Business

Secteur :

Other services (except public administration)

Université :

Université du Québec à Trois-Rivières

Programme :

Business Strategy Internship

Développement d’une solution robotisée pour l’application d’étiquettes dans un contexte industriel.

Le projet de développement d’une solution robotisée pour l’application d’étiquettes dans un contexte industriel permettra à Premier Tech Systèmes Automatisés (PTSA) de mettre sur pieds (Étude de faisabilité technicoéconomique, Conception et réalisation) un système d’étiquetage modulaire pouvant s’intégrer à des lignes de production. Ce projet est important et captive l’attention chez PTSA parce qu’il permet de mettre une solution canadienne sur le marché nord-américain; il permettra à moyen terme d’exporter le savoir-faire canadien. La nouvelle donne économique et le manque de ressources humaines actuel a entrainé une demande accentuée des solutions robotisées en industrie et par conséquent une augmentation du besoin de systèmes d’étiquetage des palettes de produits. Ce projet fait partie de cette chaine de solution; il comblera le besoin d’indépendance de l’industrie canadienne et mettra une solution moins onéreuse que celle existante sur le marché car elle sera fabriquée localement.

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Superviseur du corps professoral :

Georges Ghazi

Étudiant :

Partenaire :

Premier Tech Systèmes Automatisés

Discipline :

Engineering

Secteur :

Manufacturing

Université :

École de technologie supérieure

Programme :

Business Strategy Internship

Relating Quantitative ESG to the Evolving ESG Regulatory / Reporting Landscape

The field of responsible investing is rapidly expanding, with even greater attention on the importance of responsible investment in 2021, as seen in the aftermath of the hugely impactful COP26 summit. Directing our financial resources in a sustainable direction has the potential to have a massive impact on helping us meet the Sustainable Development Goals set forth by the UN. Though the importance of better alignment between finance and sustainability is clear, and now has a very strong consensus around it, investors still lack the right tools to support their research process in terms of sustainability. They rely on high level data that is largely known not to be reliable, which leads to massive misallocations of capital. RiskLab at the University Toronto has been a contributor to the growing body of work on quantitative Environmental, Social, Governance (ESG) investing, and is now looking to round out its research capabilities by bringing in the functional and regulatory perspective on the rapidly shifting landscape of ESG.

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Superviseur du corps professoral :

Luis Seco

Étudiant :

Partenaire :

Yaroslav Mudryi National Law University

Discipline :

Mathematics

Secteur :

Finance and Insurance; Information and Communications Technology

Université :

University of Toronto

Programme :

Globalink Research Award

Alliages à haute entropie TiZrCrMnNi et TiZrVFeNi pour le stockage de l’hydrogène

Les hydrures métalliques sont un moyen sûr et efficace pour stocker l’hydrogène. Ce projet porte sur une nouvelle classe d’hydrures, les alliages à haute entropie. Deux alliages seront étudiés : TiZrCrMnNi et TiZrVFeNi. Dans un premier temps des calculs théoriques seront effectués afin de prédire la structure cristalline et la capacité de stockage d’hydrogène de ces deux alliages. Dans un deuxième temps, les alliages seront synthétisés et leurs structures cristallines avant et après absorption d’hydrogène seront évalués. Les capacités de stockage de l’hydrogène seront aussi mesurées. La recherche vise à vérifier si la méthode théorique proposée est fiable pour être utilisée dans la sélection/conception de nouveaux alliages à haute entropie pour les applications de stockage d’hydrogène.

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Superviseur du corps professoral :

Jacques Huot

Étudiant :

Partenaire :

Universidade Estadual de Campinas

Discipline :

Physics

Secteur :

Education

Université :

Université du Québec à Trois-Rivières

Programme :

Globalink Research Award

Transformational Specification of Out-of-Thin-Air Memory Models

Much of the performance in today’s computing devices such as mobiles, desktops, supercomputers, etc. can be attributed to concurrency – the ability to perform more than one task simultaneously. In addition, performance of software that run on such devices greatly benefit from the compiler (software that translates our code to be run by hardware) that optimizes them. Interplay between compiler optimizations and such concurrent devices have been known to cause erroneous software behaviors, which can been fatal. The goal of this project is to explain these concurrent behaviors precisely in terms of the optimizations that are done by the compiler. We will utilize this information to synthesize a concurrent model which can help us rule out optimizations that can cause software behave erroneously. We will use such a model to develop reasoning techniques which will help in testing and verifying pieces of critical software.

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Superviseur du corps professoral :

Clark Verbrugge

Étudiant :

Partenaire :

University of Kent

Discipline :

Computer science

Secteur :

Education

Université :

McGill University

Programme :

Globalink Research Award

Automated Data Labeller

All data-driven solutions today start with the ingestion (input) of data. Typically that data is messy and unlabelled. However, downstream consumers of data benefit from well-labelled data. Data labelling (assigning categories, data types, privacy and sensitivity tags, source characteristics, etc.) is usually an error-prone, time-consuming, manual effort. There are no readily available off-the-shelf tools that perform reliable data labelling today. This project aims to design and build a configurable, scalable, automated tool for classifying data fields given a data source. The automated tool will be a software product that generates label(s) for given input data sources and data fields including at least information such as entity type, entity context, and privacy/sensitivity tags, and does so using natural language processing (NLP) in conjunction with a heuristic-based expert rule system. The tool developed as part of this project will provide the partner organisation with a competitive edge in the data science/ML/AI market, helping it grow its customer base by attracting companies and organisations that do not have the technical skillset to build their own data processing systems, which in turn will lead to increased revenue for the partner organisation.

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Superviseur du corps professoral :

Mark Chignell

Étudiant :

Partenaire :

Scribble Data Inc.

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

University of Toronto

Programme :

Business Strategy Internship

Supporting Vulnerable Populations in Emergencies

The project goal is to complete a community-wide vulnerability capacity assessment to gain a deeper understanding of the populations that require access to Emergency Social Services (ESS) during a large scale emergency, including the potential impacts of emergencies on these populations. This will aid in resource allocation and priority setting to better prepare for and meet the needs of our communities.

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Superviseur du corps professoral :

Fatih Sekercioglu;Purnima Tyagi

Étudiant :

Partenaire :

City of Toronto

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology; Public administration; Utilities

Université :

Toronto Metropolitan University

Programme :

Business Strategy Internship

Anaerobic Digestion in the North – A Economic Feasibility Study

The main goals of this project are to 1. continue to assess the economic feasibility of operating an anaerobic digester in Yukon, and to 2. develop business and marketing strategies that could see the technology used at scale in the north. 3. Allow a business administration student at Yukon University to practice her business administration skills by providing opportunities to engage in the day to day activities of Balance BioGas’s operations.

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Superviseur du corps professoral :

Gabor Gyorgy;Ninad Dhawle

Étudiant :

Partenaire :

Balance BioGas;CMC Microsystems

Discipline :

Business

Secteur :

Administrative and support, waste management and remediation services

Université :

Yukon University

Programme :

Business Strategy Internship

Data Science Consulting and Productionization

The intern would work on a project to develop a data science product for the retail/finance sector. By working on consulting projects and with our product development team, they would work to integrate the data science processes we use into a suite of products that helps clients manage and analyze their data in real time. The project will entail tasks ranging from preliminary data exploration, visualization, and data cleaning to feature engineering and building and training prediction and propensity models for deployment.By the end of the internship, the intern will have learned and experienced end-to-end project development from preliminary data exploration and use case identification, to model development and testing and finally to product deployment in the client’s environment.

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Superviseur du corps professoral :

Peter Khaiter

Étudiant :

Partenaire :

Theory and Practice

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

York University

Programme :

Business Strategy Internship

Real-time scheduling and performance evaluation tool for house erection

Traditional stick-built can take weeks to reach the lockup stage of a single house and leaves the house exposed for long time, while a single home can be built by using modular construction within a few days, which is much quicker. In addition, using advanced technology to achieve automated and standardized operations is the target within a business. Traditional building construction may have limited capacity to explore such advances approaches, however, modular construction companies are exceptions since the products are built in the facilities. Many existing research emphasize the operations in the facilities while limited research explores on site assembly part. ACQBuilt, as an advanced panelized home construction company, is approaching a highly automated and standardized operations for building homes. The project is targeting to help ACQBuilt to explore on-site operations by developing systematic time data collection platform, setting up standard operation procedures, optimizing crew management strategies and providing timely feedback to the crews to improve their productivity. The ultimate goal of the project is to develop a real-time scheduling and performance evaluation tool for site erection and back framing process.

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Superviseur du corps professoral :

Xinming Li

Étudiant :

Partenaire :

ACQBuilt Inc

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

University of Alberta

Programme :

Business Strategy Internship