Projets novateurs réalisés

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

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

Technologies for Improved Sustainability of Long-Life Flexible Pavements

A sustainable pavement is one that is safe, smooth, efficient, economic, and environment friendly,
meeting the needs of present-day users without comprising those of future generations. Sustainable
flexible (asphalt) pavements, in particular, are those that minimize environmental impacts through the
reduction of fuel and energy-based materials (asphalt cement, for example) consumption, more
effective use of natural resources, and reduction of greenhouse gas emissions while meeting all
performance conditions and standards. The proposed research focuses on the development of
different applied technologies in design, construction and maintenance for improved sustainability of
long-life flexible (asphalt) pavements to: minimize the use of natural resources through recycling;
reduce pavement temperatures in hot seasons; enhance pavement performances; reduce user fuel
consumption; and reduce greenhouse gas emissions. The developed technologies for light-coloured
grey asphalt pavements and high performance granular layers using reclaimed materials will foster
improved designs for sustainable long-life flexible pavements.

Voir la description complète du projet
Superviseur du corps professoral :

Peijun Guo

Étudiant :

Partenaire :

Shiloh Canconstruct Ltd

Discipline :

Engineering

Secteur :

Clean Technology; Environmental Science and Technology; Clean Technology; Environmental Science and Technology

Université :

McMaster University

Programme :

Accelerate

Thales – Prédiction logistique en pharmacie

Les pharmacies au détail s’appuient principalement sur leurs propres données empiriques pour planifier et prévoir leurs stocks. Ce type de données a ses propres caractéristiques, qui peuvent être saisonnières et être affectées par des événements spéciaux et imprévus tels que les maladies pandémiques. Toutefois, à mesure que la quantité de données s’accumule, il n’est pas évident de savoir comment prévoir efficacement leurs stocks, découvrir les habitudes d’achat de certains médicaments à certaines périodes de l’année et prévenir davantage les pénuries. L’apprentissage automatique et l’analyse prédictive permettent d’analyser les données, de découvrir les habitudes d’achat des clients, les habitudes d’achat de médicaments à la demande, les associations et les informations potentiellement utiles cachées dans les données, ce qui est pertinent pour ce projet.
Le but de ce stage est d’étudier les sujets de recherche suivants. Comment pouvons-nous mieux modéliser les données logistiques des pharmacies ? Existe-t-il des caractéristiques indirectes autres que l’historique d’achat des clients que nous devons saisir à des fins prédictives ? Quel type d’algorithme est approprié pour prédire les modèles de demande de médicaments et les modèles de pénurie des fournisseurs ?

Voir la description complète du projet
Superviseur du corps professoral :

Christian Gagné;Jonathan Gaudreault

Étudiant :

Partenaire :

Thales Canada Inc

Discipline :

Computer science

Secteur :

Information and Communications Technology; Technology

Université :

Université Laval

Programme :

Accelerate

Monitoring the sustainability of agricultural system for Ontario’s Greenbelt

This project aims at developing information and knowledge that will promote public and policy support for the long-term sustainability of the agricultural system surrounding the greenbelt. Based on a preliminary research led by the Friends of Greenbelt Foundation, this research will develop a monitoring framework for the viability and protection of the agricultural system in the greenbelt and assess the trends of agricultural viability and protection in Greenbelt during the past 15 years. It also looks into the urbanization trend and farmland loss approaching the greenbelt and aims at investigating its impact on the sustainability of the greenbelt. This project will be of interest to the policy makers, municipal leader and communities who are interested in the sustainable development of the greenbelt and the Greater Golden Horseshoe. This research project will directly benefit the greenbelt foundation’s future work by creating a framework which could guide through the further monitoring projects, and provide an in-depth review on the status of the greenbelt during the past 15 years.

Voir la description complète du projet
Superviseur du corps professoral :

Wayne Caldwell

Étudiant :

Partenaire :

Friends of the Greenbelt Foundation

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

University of Guelph

Programme :

Accelerate

Yield optimization of an agrifood production process using AI tools and Industry 4.0 technologies

Food manufacturers experience significant waste when transforming raw materials into refined finished products. In the food processing industries, a single line can have 50% or more of raw materials loss while simultaneously producing varying degrees of quality simply because processing equipment is not optimally configured to the characteristics of the suppliers’ raw materials. Worximity proposes a project to use artificial intelligence, combined with industrial sensors (IIoT) and computer vision to optimize food production yield, improve quality, safety, and reduce waste in food manufacturing.

Voir la description complète du projet
Superviseur du corps professoral :

Maha Ben Ali;Robert Pellerin;Christophe Danjou

Étudiant :

Partenaire :

Worximity Technology Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Accelerate

Optimal and heuristic optimization methods for large-scale naval refit operations

This project deals with the development of new mathematical models and solution methods to optimize naval surface ship refit operations. The Naval Surface Ship Work Period Problem (NSWPP) is a highly complex resource-constrained project scheduling problem (RCPSP) with many work orders that are equivalent to small projects. Planning, scheduling, and executing NSWPPs are very challenging, and a large volume of planned and scheduled work is typically never achieved for a variety of reasons such as unexpected discovery of damages, high variability in work scope and duration, unavailability of human resources or equipment, logistical delays. The goal of NSWPP is to complete all important and critical activities within the time-window available, where uncompleted activities will not compromise the mission or can be reasonably mitigated.
This project will propose new models to deal with the optimization of the NSWPP and incorporate time-quality, capacity-cost, cost-risk trade-offs. Heuristic solution methods will also be developed.

Voir la description complète du projet
Superviseur du corps professoral :

Claver Diallo;Alireza Ghasemi

Étudiant :

Partenaire :

Thales Canada Inc

Discipline :

Engineering

Secteur :

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

Université :

Dalhousie University

Programme :

Accelerate

Moose browsing intensity and landscape structure of wintering habitat patches

Over the last decades, the moose population of New Brunswick has greatly increased, to a point where forest regeneration is locally compromised. Moose browsing can severely influence forest dynamics by altering stand structure and composition and favouring softwood species over hardwoods in mixedwood stands. Hence, it is important to understand the factors influencing moose browsing in order to reduce damage to regeneration and economic losses to the forest industry. Although the factors influencing the spatial distribution of moose browsing have been intensively studied, both in Europe and North America, the influence of landscape structure of wintering habitat patches has not been studied. Therefore, we decided to analyze the influence of the landscape structure of wintering habitat patches at the landscape level on moose browsing intensity.

Voir la description complète du projet
Superviseur du corps professoral :

Martin-Hugues St-Laurent

Étudiant :

Partenaire :

Northern Hardwoods Research Institute

Discipline :

Life Sciences

Secteur :

Forestry; Natural Resources; Sustainability & the Environment

Université :

Université du Québec à Rimouski

Programme :

Accelerate

Impacts on dairy management and acceptability of a law restricting use of Class 1 antimicrobial

In a recent study conducted in the province of Quebec it was determined that 34% of antimicrobials used on dairies are antimicrobials of very high importance for humans (AKA Category 1 antimicrobials; Lardé et al., personal communication). However, since February 2019, a new regulation restricts their use in food producing animals in Quebec’s province, Thus, the objectives of this project are to determine the impacts of the implementation of a new regulation aimed at restricting category I AMU on the sale of veterinary drugs on dairy farms in Quebec by measuring the change in Category 1 AMU on dairies following application of the new regulation, investigating factors that are associated with reducing Category 1 AMU and exploring the main barriers and facilitators to the implementation of this new regulation. In France a similar legislation was implemented in 2016. Thus, doing an internship at l’INRAE will be helpful to develop hypothesis in the study of factors that are associated with a decrease in category 1 antimicrobials (objective 2 of the research project) and to target themes to explore with the qualitative interviews (objective 3 of the research project).

Voir la description complète du projet
Superviseur du corps professoral :

Cécile Aenishaenslin;Simon Dufour

Étudiant :

Partenaire :

École nationale vétérinaire, agroalimentaire et de l'alimentation, Nantes-Atlantique

Discipline :

Life Sciences

Secteur :

Public Service, Policy, and Governance; Health and Related Sciences & Technology; Agriculture and Food

Université :

Université de Montréal

Programme :

Globalink Research Award

Do socio-demographic and parenting factors moderate the impact of the HIPPY program on children’s school readiness?

The purpose of this project is to assess the impact of a home-based education program for preschool-aged children called the Home Instruction Program for Preschool Youngsters (HIPPY). This program aims to increase school readiness of children deemed educationally “at-risk” by reason of family poverty, parent education levels, family isolation, settlement issues, and/or English language skills. 13% of HIPPY participants are refugees, 70% are newcomers to Canada, and 12% are Indigenous. A data set on school readiness will be analyzed, as measured by The Bracken Basic Concept Scale (2006), a well-known standardized school readiness instrument. Bracken data were collected at two time points one year apart on 311 preschool children at 6 HIPPY sites across Canada, serving a diverse population of families. Analyses of the data will address change over time in children’s age-adjusted Bracken standard scores. Bracken scores will also be examined in relation to a variety of socio-demographic (e.g., child sex, immigration status, place of birth, and mothers’ English language competency) and parent (e.g., frequency of reading to child, engagement in HIPPY) factors.

Voir la description complète du projet
Superviseur du corps professoral :

Lucy Le Mare

Étudiant :

Partenaire :

Mothers Matter Centre

Discipline :

Sociology

Secteur :

Education

Université :

Simon Fraser University

Programme :

Accelerate

Optimisation du processus de classification des initiatives 4.0

L’émergence de l’Industrie 4.0 amène les chefs d’entreprise à remettre en question leurs modèles d’affaires et à envisager de quelle façon ces technologies peuvent se combiner pour transformer les produits, les processus et les services offerts. Cette transformation numérique amène inévitablement les entreprises à identifier les fournisseurs de ces technologies et les experts qui peuvent les accompagner dans leur démarche. BRIDGR offre ce service d’accompagnement à partir de sa plate-forme web en offrant un service de jumelage entre les entreprises et les fournisseurs de service technologique. L’accompagnement des clients pour clarifier leurs besoins réels et les solutions potentielles exige toutefois un investissement en temps considérable. L’objectif de ce projet est de revoir le processus de jumelage en cherchant à faciliter l’identification des fournisseurs potentiels à partir de l’énoncé des besoins exprimés par les clients.

Voir la description complète du projet
Superviseur du corps professoral :

Robert Pellerin;Christophe Danjou

Étudiant :

Partenaire :

BRIDGR

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Accelerate

iStandardize: Recommendations for Healthcare Form Standardiz

iStandardize is an AI-powered machine learning solution that is designed to streamline the standardization of clinical order sets (i.e., forms) by using machine learning and natural language processing techniques. Currently, hospital networks use multiple versions of forms and order sets, many of them are similar in nature. The lack of standardization poses a challenge in integrating the data for sharing, adds additional documentation burden, and disrupts the workflow for clinicians. The solution applies Natural Language Processing and Machine Learning to identify similar order sets and their elements (attributes and responses), reduce the manual work required to compare the order sets, and expedite the decision making process for standardization.

Voir la description complète du projet
Superviseur du corps professoral :

Michael Brudno

Étudiant :

Partenaire :

Deloitte Consulting (Toronto, ON)

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Victoria Green Economy

The proposed research is a collaboration between Vancity, the City of Victoria, and the
University of Victoria to bring together the necessary information (financial, regulatory, and
knowledge, respectively) to build a plan that will initiate Victoria’s Green Economy. Interns will
be part of distinct interviewing panels that will research the needs, benefits, and obstacles of
the development of a green economy. With that necessary information the interns will
collaborate with the industry partners to devise strategic plans that would lead to a roadmap
of how a green economy can be developed in Victoria. The major work will be to identify the
drivers of a green economy and then how those drivers can be advanced in Victoria. This
research has yet to be done in Canada and will serve to complement sustainability work done
on the environment with a focus on the economic drivers.

Voir la description complète du projet
Superviseur du corps professoral :

Matt Murphy

Étudiant :

Partenaire :

Vancity;The Corporation of the City of Victoria

Discipline :

Business

Secteur :

Finance and Insurance

Université :

University of Victoria

Programme :

Accelerate

Investigating strategies for optimizing immunity to COVID-19: examining the impact of probiotic lactic acid bacteria-derived secretomes on epithelial cell and macrophage immune activity

Strategies to promote immune defences against COVID-19 infection are urgently needed. The gastrointestinal tract is a potentially important route for COVID-19 infection and for generating protective anti-viral immunity against this pathogen. Certain features of COVID-19 contribute to its ability to evade and subvert our immune defences. Type I interferon is a key immune protein that shuts down viral replication during virus infections. However, SARS-CoV-2 evades this defence by failing to induce these protective interferons, allowing the virus to replicate and cause symptoms of COVID-19 infection. Macrophages are another key host immune defence. Severe COVID 19 infections can result in acute respiratory distress syndrome (ARDS), an outcome linked to the disastrous effects of pro-inflammatory macrophage activity and “cytokine storm” production. In our research analyzing probiotic bacteria communication with the immune system, we found that Lactobacillus rhamnosus R0011 acts on intestinal epithelial cells and macrophages via secreted molecules (a secretome). This secretome-mediated communication induced Type I interferon production and drove macrophage differentiation into a regulatory phenotype, in contrast to the pro-inflammatory macrophages causing damage in severe COVID-19 cases.

Voir la description complète du projet
Superviseur du corps professoral :

Julia Green-Johnson

Étudiant :

Partenaire :

Lallemand Bio Ingredients

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

University of Ontario Institute of Technology

Programme :

Accelerate

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