Projets novateurs réalisés

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

29 670 projets achevés

2811
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4990
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801
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663
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825
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8841
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9197
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95
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568
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1088
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Projets par catégorie

Support à la mise en place du protocole d’évaluation du programme de Fillactive

Fillactive est une fondation qui a pour mission de faire découvrir aux adolescentes les avantages et le plaisir qui découlent de la pratique d’activité physique. Depuis 2007, l’organisme a compté plus de 95 000 participantes au Québec et en Ontario. L’édition 2015 a permis à 10 000 adolescentes de relever le défi de courir 5 ou 10 km, dans une atmosphère, non compétitive et valorisante. L’évaluation des impacts est donc devenu essentielle pour documenter l’efficacité du programme afin d’en assurer son évolution, de supporter les démarches sur le plan des politiques à faire évoluer et favoriser le développement de nouveaux partenariats et l’expansion du programme au Canada. Le présent projet vise à débuter la première phase du projet de recherche sont : étudier la littérature sur le sujet, recueillir des informations spécifiques relativement au programme de Fillactive et finalement valider les outils qui seront utilisés pour la suite du projet. Il sera également responsable de coordonner les activités de l’équipe composée des chercheurs et de l’équipe de Fillactive.

Voir la description complète du projet
Superviseur du corps professoral :

Marie-Eve Mathieu

Étudiant :

Partenaire :

FitSpirit Community Organization

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

Université de Montréal

Programme :

Accelerate

Scale Effects and the Hoek-Brown D Factor in Rock Slope Stability Analysis

The slope angle for mine pit walls has a significant impact on both the economics and the amount of waste material generated during mining operations. Rational engineering design methods and their input parameters (i.e., rock mass strength) are critical to determination of efficient, but safe slope angles. Although there are well-establish rock engineering approaches to rock slope design, there are some limitation in our understanding of the effect of slope height (i.e., scale effects) on the strength of a jointed “rock mass.” This research project will be comprised of a review of the current state-of-the-art and execution of a computer simulation program to determine if a relation exists between the size of rock mass “blocks” within the rock slopes and the thickness of the failure zone within the slope (scale). The results will provide guidance towards a more rational means to account for rock mass strength relative to slope height.

Voir la description complète du projet
Superviseur du corps professoral :

Andrew Corkum

Étudiant :

Partenaire :

BGC Engineering Inc (NS)

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Accelerate

Co-liquefaction of lignin and lignite for aromatic fuels and chemicals

Due to the rapid increase in demand for petroleum and its declining reserves, the concern over energy security has intensified the interest in liquefying coal and biomass to liquid fuels and chemicals, especially for those countries which have abundant coal reserves, such as the United States, Canada, China, etc. Co-liquefaction of coal with biomass has gained particular research interest due to the synergistic effects between biomass and coal during liquefaction. Co-liquefaction of coal with biomass could moderate the reaction conditions of coal liquefaction due to the synergistic effects between coal and biomass, and improve the quality and yields of liquid products. It would be a novel contribution to the literature and industrial practice to realize co-liquefaction of coal with biomass in a low boiling point solvent and a raw iron ore as catalyst in N2 atmosphere (without using high-pressure hydrogen). This project aims to produce aromatic chemicals by co-liquefaction of lignite coal with lignin in a co-solvent, e.g., 50 wt% methanol-water or ethanol-water using some inexpensive catalysts such as iron ores as catalysts without using high-pressure hydrogen.

Voir la description complète du projet
Superviseur du corps professoral :

Charles Chunbao Xu

Étudiant :

Partenaire :

Anhui University of Technology

Discipline :

Engineering

Secteur :

Université :

Western University

Programme :

Globalink Research Award

Community Economic Profile Analytical Framework

This project attempts to adapt current models for resilience into a reusable framework using accessible Canadian data sources that can guide repeated analysis to monitor and benchmark progress in an economic region. Quantitative analysis of regional resilience is needed to better inform strategy design, monitor performance trends and benchmarking resulting from investment and policy interventions designed to improve economic, social and environmental performance.

Voir la description complète du projet
Superviseur du corps professoral :

Leith Deacon

Étudiant :

Partenaire :

Octoco Inc

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

UPnGO with ParticipACTION: Evaluating impact on the worksite environment and employee’s physical activity behavior

In order to improve the health and productivity of Canadians, ParticipACTION developed a rewards based, physical activity tracking intervention called UPnGO. The UPnGO pilot will aim to increase the amount of physical activity performed throughout the workday. Before and after the intervention, worksites will be assessed to determine what components of workplace environment and policy increase the success of the intervention measured by how employees use the UPnGO platform and changes in average daily steps. This data will provide valuable information about how to improve the intervention to make it more effective and cost-efficient.

Voir la description complète du projet
Superviseur du corps professoral :

Guy Faulkner

Étudiant :

Partenaire :

ParticipACTION

Discipline :

Life Sciences

Secteur :

Arts, entertainment and recreation; Other services (except public administration)

Université :

The University of British Columbia

Programme :

Accelerate

Développement de technologies d’assemblage avancées en aluminium pour la fabrication ferroviaire

Bombardier Transport est un chef de file mondial dans l’industrie ferroviaire comprenant des unités de production partout dans le monde. La compagnie souhaite développer des technologies d’assemblage avancées adaptées à l’aluminium pour la fabrication ferroviaire. Celle-ci a identifié quatre procédés de soudage comme étant les technologies d’assemblage avancées les plus susceptibles de percer en production pour leurs nouvelles unités de fabrication. L’objectif principal du projet de recherche est de développer une approche quantitative pour l’évaluation des performances des assemblages soudés par l’étude des mécanismes fondamentaux régissant la formation des microstructures et le comportement mécanique statique et en fatigue des assemblages soudés. L’intérêt de cette coopération pour l’entreprise est d’augmenter la compréhension des phénomènes physiques sur une problématique précise de fabrication des composantes de caisses de trains en aluminium. Ceci permettra à la compagnie Bombardier Transport d’identifier la méthode d’assemblage la plus performante pour ses développements futurs.

Voir la description complète du projet
Superviseur du corps professoral :

Vincent Demers

Étudiant :

Partenaire :

Bombardier Transportation Canada Inc

Discipline :

Engineering

Secteur :

Manufacturing; Transportation and warehousing

Université :

École de technologie supérieure

Programme :

Accelerate

Error-correcting codes for adiabatic quantum computation

There are many difficult problems in diverse areas such as bioinformatics, transportation or finance, which are very hard to solve on a classical computer. A new type of computer was conceived, called a quantum computer, which operates on the laws of quantum physics, as opposed to the laws of classical mechanics. Such a quantum computer has not yet been engineered at a large scale; however there are currently several competing models. Of these, the D-Wave machine is the most advanced prototype under development, and several machines have been sold to academic and industrial customers. The greatest obstacle to engineering quantum computers is quantum noise – interaction with the environment which causes the computer to essentially act as a classical computer (or distorts results entirely). The solution to this problem is quantum error correction. Many quantum error correction schemes (quantum codes) exist, however the D-Wave device is only compatible with some of them. We will develop new quantum codes for the D-Wave device in order to lessen the gap between what is practically and theoretically possible of quantum computers.

Voir la description complète du projet
Superviseur du corps professoral :

Petr Lisonek

Étudiant :

Partenaire :

D-Wave Systems Inc.

Discipline :

Mathematics

Secteur :

Information and Communications Technology; Advanced Manufacturing

Université :

Simon Fraser University

Programme :

Accelerate

Enhancing the abiotic and biotic oxidation of manganese for cold groundwater biofiltration

Manganese (Mn) affects the flavour and colour of water, and causes scaling in pipes, even at low concentrations. Groundwater is a crucial water resource in Saskatchewan and is often naturally rich in Mn. Strong demands for securing clean water have arisen in a variety of public and industrial sectors. The study’s objective is to accelerate Mn removal from cold groundwater by taking advantage of the potential synergetic effects of combining abiotic and biotic Mn oxidation at low temperatures using Mn-oxide-coated anthracite and cold-adapted, Mn-oxidizing microbial consortia. This innovative approach aims at accelerating the often delayed Mn oxidation in the early stages of operation of a groundwater treatment unit. This chemical-free and energy-efficient technology has the potential to change the field of water treatment. This research is on the frontline of Canada’s innovation for water security and environmental protection, and the results will help Canada meet its present and future needs.

Voir la description complète du projet
Superviseur du corps professoral :

Won Jae Chang

Étudiant :

Partenaire :

Delco Automation Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Saskatchewan

Programme :

Accelerate

Solving large–scale non–smooth stochastic optimization problems

Machine learning focuses on writing computer programs that can ‘learn’ from data. This is becoming increasingly important, as we try to understand the huge amounts of complicated data we are collecting (both in academia and in industry). While machine learning is one of the key
tools we use analyze large datasets, it often has trouble dealing with the enormous sizes of modern datasets (for example, learning something about every webpage on the internet or about all users of Facebook). In a breakthrough paper in 2012, Francis Bach and Mark Schmidt
(along with another co–author) showed the surprising result that we can ‘learn’ from huge datasets at a similar speed to how we ‘learn’ from smaller datasets. However, there result assumed that our model was ‘differentiable’ and that our dataset had a finite size. In this internship, we will try to relax these assumptions. This will let us apply a much larger variety of machine learning techniques to huge datasets, and will further allow us to build systems that keep learning efficiently over time.

Voir la description complète du projet
Superviseur du corps professoral :

Mark Schmidt

Étudiant :

Partenaire :

École normale supérieure

Discipline :

Computer science

Secteur :

Université :

The University of British Columbia

Programme :

Globalink Research Award

Cross population study of white matter connectivity using dictionary learning and sparse coding

Understanding the structure and connections in the brain is an outstanding research problem. Many diseases impact the structure and hence connections between them, analyzing which may help in detection and diagnosis of these diseases. In this project, we try to learn an atlas of major connecting fibers (tube like connections) for a group of people, using dictionary learning based framework. This atlas is then used to
observe the similarities and differences in fibers across the group, and to segment fibers from new person. We will use twin dataset of the Human Connectome Project to study heritability of white matter clusters. The method will also be used to understand the differences in structural connectivity between healthy subjects, mild cognitive impairment (MCI) subjects, and Alzheimer’s disease (AD) subjects.

Voir la description complète du projet
Superviseur du corps professoral :

Christian Desrosiers

Étudiant :

Partenaire :

Inria Paris - Rocquencourt Research Centre

Discipline :

Computer science

Secteur :

Université :

École de technologie supérieure

Programme :

Globalink Research Award

Reproducibility of diffusion MRI white matter structural connectome

The ensemble of the human brain wiring configuration is known as the connectome. Using diffusion magnetic resonance imaging, we can approximate the connectome and use it to increase our understanding of normal function and of neuro-diseases. However, the complex interactions between each steps from brain images to the final wires give rise to many potential sources of error. Using an array of modern simulations of these steps, we will study and disentangle the effect of their interactions to increase the accuracy of the connectome estimation in humans.

Voir la description complète du projet
Superviseur du corps professoral :

Maxime Descoteaux

Étudiant :

Partenaire :

Inria Rennes - Bretagne Atlantique Research Centre

Discipline :

Computer science

Secteur :

Université :

Université de Sherbrooke

Programme :

Globalink Research Award

Automatic Resizing Framework for Time-Varying Non-Space Filling Visualizations

We propose the development of an automatic resizing framework for time-varying visualizations. This framework would support easy deployment of visualizations on a multitude of devices with varying display sizes. The second objective of the project is to address issues of data is interpretation that could arise as a result of visualization resizing through the use of visual cues as well as interaction techniques. The developed resizing algorithms will be instantiated in the form of prototype applications of visualizations such as, dynamic networks and scatter plots. These prototype applications will be evaluated based on not only the memory and time requirements of the resizing operation but also the efficiency of
the retargeted visualizations at supporting the user in accomplishing analytical tasks. The resizing framework developed during the course of this project will be available as open source software to prompt further refinement by the research community.

Voir la description complète du projet
Superviseur du corps professoral :

Christopher Collins

Étudiant :

Partenaire :

Inria Lille - Nord Europe Research Centre

Discipline :

Computer science

Secteur :

Université :

University of Ontario Institute of Technology

Programme :

Globalink Research Award

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