Projets novateurs réalisés

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

31 914 projets complétés

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878
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703
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9488
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9949
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98
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629
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Projets par catégorie

Conception d’une trousse d’analyse d’opportunités pour l’implantation d’une solution enrichissant les systèmes de GMAO existants

Les actifs, qu’ils soient des machines industrielles, les équipements médicaux, des bâtiments, des équipements informatiques, des infrastructures de transport, etc., ont une durée de vie. Malgré la variabilité de leur performance au cours de leur cycle de vie, les gestionnaires souhaitent que ces actifs conservent leur valeur marchande au maximum tout en minimisant les coûts dus à leur entretien. Les logiciels de GMAO (Gestion de la Maintenance Assistée par Ordinateur) sont des exemples d’applications spécialisées conçues pour améliorer la gestion de la maintenance des actifs. Mais, une fois implantés, ces logiciels assez coûteux deviennent rigides. Alors que leur remplacement est peu souhaitable, de nouvelles opportunités technologiques (matériel et logiciel) de nos jours aident à concevoir des interfaces simples d’utilisation introduisant la maintenance prédictive plus efficace et plus économique que les autres formes de maintenance et qui peut améliorer significativement les logiciels de GMAO et ainsi la gestion des actifs. Le présent projet vise, entre autres, à démontrer l’amélioration significative apportée à la fonction maintenance et à la gestion des actifs avec les nombreux avantages en termes de coût-efficacité et coûtbénéfice, lorsqu’une politique de maintenance prédictive pour les actifs critiques est adoptée.

Voir la description complète du projet
Superviseur du corps professoral :

Michel Rioux

Étudiant :

Partenaire :

Matricis Informatique Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

École de technologie supérieure

Programme :

Accelerate

La justice épistémique en contexte de coconstruction : enjeux, défis et implications pratiques

Ce stage porte sur le concept de justice épistémique et ses applications concrètes dans le travail d’un organisme communautaire. Cet organisme développe des projets collectifs à partir de la parole et de l’action des citoyenNEs dans le but de lutter contre la pauvreté et l’exclusion sociale. Le concept de justice épistémique, de la juste valorisation et l’équilibre entre les savoirs des différentes personnes impliquées dans l’organisme, est au cœur de sa posture de travail. Néanmoins, l’organisme décèle certains enjeux opérationnels dans la mise en pratique de la justice épistémique. La stagiaire aura pour rôle de formuler une définition de la justice épistémique et de cocréer des recommandations afin de répondre aux enjeux terrains de l’organisme.

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Superviseur du corps professoral :

Juan-Luis Klein

Étudiant :

Partenaire :

Parole d’excluEs

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

Université du Québec à Montréal

Programme :

Accelerate

GWUT for Gas Diversion Detection on PE Pipes with a Steel Riser

Detection of natural gas diversion in residential pipelines is important for public safety. Detection of such diversion in a nonintrusive manner is important for customer satisfaction and the companies’ reputation. This project aims to develop non-intrusive guided-wave ultrasonic testing methods combined with machine learning to detect and locate diversions in residential gas pipes. These pipes are commonly polyethylene pipes connected to a steel riser, and are deployed below ground. Thus, the envisioned testing solution should be able to handle the effects introduced by the pipe’s material and the surrounding medium.

Voir la description complète du projet
Superviseur du corps professoral :

Anas Chaaban

Étudiant :

Partenaire :

FortisBC Energy Inc

Discipline :

Engineering

Secteur :

Utilities

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Assessing Executive Function Through Eye Movements in Concussed Individuals

When a concussion occurs individuals can also experience several different subtle changes to eye movements and performance that is difficult to recognize. To understand how these eye-movement problems affect the recovery process the goal of the study is to investigate if these eye-movement problems are a result of executive functioning issues in the frontal lobe due to anatomical visual projections. Assessing how the eyes function in response to injury is imperative to further understanding symptoms of concussions and informing rehabilitation plans. By working in collaboration with HeadsupCAN, this type of research will reach the audience interested in learning more about concussions, work to inform, and advance the field.

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Superviseur du corps professoral :

Maureen Connolly;Liana Brown

Étudiant :

Partenaire :

HeadsupCAN

Discipline :

Physics

Secteur :

Health and Related Sciences & Technology

Université :

Trent University

Programme :

Accelerate

Optimization models and algorithms for multi-period cutting stock Problems

Many manufacturing companies face production planning problems. Decisions that need to be taken over multiple periods include when and how much to produce of specific products, so that demand is satisfied. In this project we consider a complex production process, in which items with a customized length need to be cut from bigger objects with a standard length (which is known as the Cutting Stock Problem). Such cutting processes are typically found in the steel, paper and wood processing industry. In the light of growing competitiveness, environmental responsibility and lack of natural resources, it is important to efficiently plan this cutting process in order to use scarce resources in the most efficient way, so that waste and other costs are minimized. The aim of the research is to develop novel heuristic solution approaches for several variants of this problem. The methodology is based on mathematical modelling and heuristic optimization techniques with the objective to provide high-quality solutions (i.e., production plans) for large instances of the problem (i.e., with many end products and a large time horizon) in a short computation time.

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Superviseur du corps professoral :

Raf Jans

Étudiant :

Partenaire :

Universidade Estadual Paulista "Julio de Mesquita Filho"

Discipline :

Business

Secteur :

Advanced Manufacturing; Artificial Intelligence

Université :

HEC Montréal

Programme :

Globalink Research Award

Fugitive lead emissions study for the Trail smelting operation

Teck Metals Ltd. operates one of the world’s largest integrated lead-zinc smelting operations based in Trail, British Columbia. An important part of Teck’s normal day-to-day operations is to carefully track and report on any pollutants generated on site that are released into the environment. The purpose of this internship is to assist their Company in estimating atmospheric emissions of lead particulates from a variety of sources. Our work is based on extending an existing inverse Gaussian plume emissions model where the input to the algorithm is a collection of measurements of particulate material deposited on the ground in the area around the Trail smelter.

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Superviseur du corps professoral :

John Stockie

Étudiant :

Partenaire :

Teck Ltd (Trail, BC)

Discipline :

Mathematics

Secteur :

Mining

Université :

Simon Fraser University

Programme :

Accelerate

Offloading Data Fusion to Programmable Data Planes

Big data refers to a class of applications that operate on large amounts of data. One paradigm that fits the big data applications category is the Internet of Things (IoT). Millions of IoT devices continuously produce data and exchange information to support critical applications in different scenarios, such as smart cities and smart homes. As IoT devices become more popular, new techniques are necessary to accurately analyze data collected from devices and communicate efficiently with minimal delays. Data fusion is one widely used technique for performing accurate decisions. Data fusions process data from multiple sensors by integrating them at a single information source. This project aims to devise methods to offload the data fusion computation into the programmable data plane at the network edge to integrate strategies that improve communication and analysis of data collected from IoT environments. The systems we envision using our methods can, for example, improve the processing of big data collected from IoT devices using computation on switches.

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Superviseur du corps professoral :

Israat Haque

Étudiant :

Partenaire :

Universidade Federal do Rio Grande do Sul

Discipline :

Computer science

Secteur :

Artificial Intelligence; Technology

Université :

Dalhousie University

Programme :

Globalink Research Award

Border Crossing Book Project

This project builds on ongoing research within the project ((Border-Crossing Books) which focused on the ways in which book cultures explicitly intersect with national identities in the twenty-first century.
This project began by examining the circulation and reception of national literatures in the US, UK, and Australia from 2000–2020; this project will also be expanded to consider Canada, South Africa, New Zealand, China, Ghana, and India.
The student’s research will contribute to the project, expanding its scope to focus on the production, dissemination, and reception of Canadian books nationally and transnationally. Examining these dynamics in the 21st century will contextualize our contemporary book publishing landscape and pave the way for future research and developments.
Objectives include
•Analyzing frameworks in the Canadian publishing industry and events in the publishing life cycle that affect the national and transnational production, circulation, and reception of books published in Canada
•Identifying Canadian legislation and policy that affect the national and transnational production, circulation, and reception of books published in Canada
• Identifying alterations to Canadian books when they migrate to different countries and formats
• Analyzing the reception of Canadian books that are transnational, or border-crossing

Voir la description complète du projet
Superviseur du corps professoral :

Suzanne Norman

Étudiant :

Partenaire :

Portland State University

Discipline :

Sociology

Secteur :

Information and Communications Technology; New and Digital Media; Technology

Université :

Simon Fraser University

Programme :

Globalink Research Award

Assessment of Landfill Final Covers Employing Contaminated Soils

Proposed research is to decommission five fully instrumented experimental covers that were constructed at the St-Nicephore landfill in 2018. This project provides the unique opportunity to exhume soil in a methodical approach to: (1) develop a contaminant profile throughout the experimental covers; and (2) establish the soil characteristics in-situ to be used in computer modelling of seepage through landfill covers. Laboratory experiments will be performed to: (1) develop unsaturated soil characteristics, assess changes in the experimental cover, and compare values to initial construction values; and (2) assess long-term contaminant transport patterns. These laboratory and field results will be used in computer modelling of seepage and contaminant transport.
The expected outcomes of the project are to re-evaluate the existing regulations for re-utilisation of contaminated soils for final cover in landfills. Expected benefits are: (1) reduction of soil landfilled, increasing long-term capacity of existing soil; and (2) decrease of quarrying clean soil for use at landfill sites.

Voir la description complète du projet
Superviseur du corps professoral :

Alexandre Cabral

Étudiant :

Partenaire :

Waste Management Quebec

Discipline :

Engineering

Secteur :

Administrative and support, waste management and remediation services

Université :

Université de Sherbrooke

Programme :

Accelerate

Stimulating user-driven interdisciplinary co-development and adaptation of innovative technologies for populations with communication disorders.

The population is rapidly ageing worldwide. In 2030, 23% of Canadians will be 65 years or older, a demographic shift accompanied by an increase in age-related health problems bringing about social challenges requiring innovative solutions. AI driven technologies are presented as promising avenues both for individualized health monitoring and self-management and to facilitate social participation of older individuals. To ensure ethics, usability and relevance of new technologies, involvement of target users in the early design stages are encouraged as best practice. However, involving older adults responsibly and efficiently in co-development projects has proved challenging, even more so if they have a neurological disorder. Therefore, our project aims at stimulating research in partnership with older adults with communication disorders such as Parkinson’s disease. It is organized around the adaptation of an in-ear technology and is run in partnership with a community partner, Parkinson-Québec, an industrial partner, EERS, and a non-for-profit startup, Vocavie.

Voir la description complète du projet
Superviseur du corps professoral :

Ingrid Verduyckt;Rachel Bouserhal;Rachel Bouserhal;Ingrid Verduyckt

Étudiant :

Partenaire :

Parkinson Québec;EERS Global Technologies Inc;Vocavie

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology; Manufacturing; Other services (except public administration); Professional, scientific and technical services

Université :

École de technologie supérieure; Université de Montréal

Programme :

Accelerate

First Nations Entrepreneurship Development, Capacity Building and Governance: Applied Perspectives

The proposed research project objectives are to enable the participating First Nations to identify strengths and weaknesses related to economic development and governance; develop policies and support for entrepreneurship; develop programs for capacity building; strengthen leadership and management skills; build trust and new networks that will inform and involve outsiders. The partners, Heiltsuk Nation, Haida Nation, COF and Beedie School of Business, understand that First Nations’ autonomous economic development contributes to the overall health of the community and they are keen on gaining broader understanding on how to accomplish this in their communities. At the same time, they are interested in sharing their knowledge with other First Nations communities in order to collectively build stronger, healthier and sustainable communities. The research cluster will contribute to an understanding of the interrelatedness of economic development activity in First Nations Communities. By focusing on two COF member Nations, the knowledge gained throughout will be sharable and of interest to other Nations.

Voir la description complète du projet
Superviseur du corps professoral :

Mark Selman

Étudiant :

Partenaire :

Heiltsuk Economic Development Corporation (HEDC);Haida Enterprise Corporation (Richmond, BC)

Discipline :

Business

Secteur :

Other services (except public administration); Public administration

Université :

Simon Fraser University

Programme :

Accelerate

Développement d’un modèle pharmacocinétique populationnel pour prédire l’exposition des nourrissons à la Sertraline via le lait maternel

La sertraline est un médicament fréquemment utilisé dans la période postnatale afin de traiter la dépression. Cependant, il existe peu de données sur le passage de ce médicament dans le lait maternel et sur ses effets sur les enfants allaités. Une étude clinique est présentement en cours afin de quantifier la sertraline dans le lait maternel et d’évaluer le développement des enfants exposés à ce médicament. Les données obtenues dans cette étude seront utilisées dans le but de développer un modèle pharmacocinétique capable d’évaluer la variabilité sur le passage de ce médicament entre les femmes, de déterminer les facteurs démographiques responsables de cette variabilité et de prédire l’exposition des nourrissons à la sertraline. À long terme, les résultats de ce projet permettront de faire des recommandations personnalisées et adéquates à toutes les femmes allaitantes sous sertraline sans avoir à faire des mesures de concentrations dans le lait maternel.

Voir la description complète du projet
Superviseur du corps professoral :

Ema Ferreira

Étudiant :

Partenaire :

Université de Lausanne

Discipline :

Life Sciences

Secteur :

Pharmaceuticals; Environmental Science and Technology

Université :

Université de Montréal

Programme :

Globalink Research Award

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Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.