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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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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Projets par catégorie

Inclusion de la température de l’eau dans un modèle généraliste d’habitat du saumon Atlantique

La pêche sportive au saumon Atlantique est une importante industrie dans l’est du pays. Ce projet contribuera à améliorer une méthode de modélisation de l’habitat du saumon Atlantique, plus particulièrement en ce qui a trait aux nourriceries des tacons (saumons juvéniles). Les modèles d’habitat sont des outils mathématiques permettant d’évaluer quantitativement la quantité de l’habitat disponible pour différents stade de vie du poisson. Dans le présent projet, le stade de vie ciblé est celui associé au développement du saumon juvénile, appelé tacon. L’amélioration proposée passe par l’ajout d’une variable primordiale pour la caractérisation de ces habitats : la température de l’eau en rivière. Le présent projet va permettre de développer des ensembles de préférences thermiques. Pour ce faire, l’avis d’experts du saumon sera codifié mathématiquement. Les préférences thermiques et le modèle qui en découle seront validés en partie sur au moins deux rivières du Québec : la Ouelle (relativement chaude) et la Ste-Marguerite (tempérée).

Voir la description complète du projet
Superviseur du corps professoral :

André St-Hilaire

Étudiant :

Partenaire :

Atlantic Salmon Conservation Foundation

Discipline :

Life Sciences

Secteur :

Life Sciences (not health); Water; Sustainability & the Environment

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Accelerate

Towards integrated rover designs optimized for navigation

Autonomous mobile robots which are designed to operate in unknown environments, such as Mars or the Moon surface must be robust to unpredictable challenges and capable of making correct decisions to survive. One of the important tasks of rovers is to locate themselves in an environment where no navigation aids such as GPS is available. This is necessary for planning their journey to explore as many scientifically interesting sites as possible. Despite significant computational developments, due to lack of adequate sensor data localization has remained a challenging area among the robotic community. We propose to investigate the possibility of adding new sensing techniques which may help to provide a more accurate estimation of the rover location. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Jozsef Kovecses

Étudiant :

Partenaire :

MacDonald, Dettwiler and Associates Inc (Brampton, ON)

Discipline :

Engineering

Secteur :

Aerospace; Technology

Université :

McGill University

Programme :

Accelerate

Automation of Natural Fibre Properties Analyses

With increasing interest in the use of natural fibres, quality characterization is needed to provide benchmarks and uniform standards in order to use the abundance of natural fibre products in niche and higher value markets. Natural fibres are inexpensive, biodegradable and leave no waste, and are sustainable and readily available throughout Canada. By utilizing natural fibres in various industries, farmers can potentially gain a second source of revenue stream from their crops of selling both the seed and straw and furthermore, a lower carbon footprint can be achieved. The intern in collaboration with the Composites Innovation Centre Manitoba Inc. (CIC) will work on studying the most important physical properties of natural fibres used in determining fibre quality and fibre grading. These factors in turn affect the fibres’ end-use in different industries such as composite materials, automotive industries and construction applications. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

James Olson

Étudiant :

Partenaire :

Composites Innovation Centre Manitoba Inc

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Wireless Network Planning and Robust Optimization for Advanced Irrigation Systems

This project is designated to the development of information and communication systems for advanced irrigation systems. An optimal wireless network planning algorithm will be developed to select the optimal locations for relay station placement at a minimum cost. Due to the potential GPS measurement errors in the irrigation area, robust optimization technique will be applied for the optimal irrigation command calculation. The results of this project can be directly used by the partner organization to reveal new advanced irrigation system products, which will have tremendous market potential due to the importance and urgency of water saving in irrigation sector.

Voir la description complète du projet
Superviseur du corps professoral :

Hao Liang

Étudiant :

Partenaire :

Intelirain Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Alberta

Programme :

Accelerate

Les défis de l’intégration professionnelle des Autochtones au sein des organisations de régions éloignées du Québec

Le contexte démographique et économique des régions éloignées du nord du Québec est en pleine évolution. Depuis quelques années, les gestionnaires des organisations dont les opérations s’exécutent sur ces territoires font face à de nombreux défis à relever pour attirer, intégrer et retenir la main-d’oeuvre autochtone locale. Pourtant, ces emplois constituent une solution au développement des communautés autochtones. Afin d’être en mesure de relever ces défis, ces gestionnaires doivent élaborer et structurer des actions concrètes en matière de gestion des ressources humaines. La structuration ou la restructuration de la fonction ressources humaines en entreprise, dans le cadre du recours aux populations locales pour pourvoir des postes (notamment, mais non exclusivement techniques) requiert la mise en oeuvre de pratiques innovatrices en matière de management interculturel. Dans cette perspective, cette recherche s’intéresse principalement aux pratiques mises en oeuvre pour faciliter l’intégration des employés autochtones au sein de ce type d’organisation. Pour comprendre davantage ce phénomène, le cas de la société d’État Hydro-Québec sera étudié particulièrement.

Voir la description complète du projet
Superviseur du corps professoral :

Sébastien Arcand

Étudiant :

Partenaire :

C2D Services

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

HEC Montréal

Programme :

Accelerate

Exploratory study economical sorbents for polycyclic aromatic hydrocarbons removal from storm water runoff

Polycyclic aromatic hydrocarbons (PAHs) release to stormwater through wear of asphalt and tire as well as deposition of vehicle exhaust – are of great concern due to its acute toxic, carcinogenic and estrogenic effects on aquatic organisms. Stormwater contaminated with these organic pollutants pose a threat to receiving waters. Kerr Wood Leidal (KWL) is a leader in proving progressive solutions for stormwater management in BC, is seeking to improve the rain garden system to effectively capture these organic pollutants in the runoff. The proposed project will investigate various economical sorbents to remove these organic pollutants. Batch adsorption/desorption tests will be used to evaluate the efficacy of the sorbents and the leachability of the loaded sorbents. The results will assist the company in improving rain garden design and provide a new solution for KWL to control the major organic pollutants in stormwater runoff.

Voir la description complète du projet
Superviseur du corps professoral :

Loretta Li

Étudiant :

Partenaire :

Kerr Wood Leidal Associates Ltd

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Efficient Implementation of IDA for Evaluating Seismic Response of Tall Buildings

One of the primary goals in tall building codes and standards is to protect life safety of inhabitants during earthquakes. Several methodologies have been proposed to achieve a proper performance of buildings. In this proposal, a recent method is applied using a series of nonlinear dynamic analyses under an appropriate suite of ground motion records. First, it is necessary to select a suite of ground motion records, which are gradually scaled from a very low to very high level. The structural model is then run under the modified records and results are illustrated to understand the structural behavior of a building. This process is performed several times for the different levels of the input motion shaking to understand the distinct stages in the behaviour of the building. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Carlos Ventura

Étudiant :

Partenaire :

PBRV Consulting Ltd

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Using Deep Recurrent Neural Networks to Build a Motion Search Engine for Animators

Building on top of the numerous recent advances in deep learning (and in machine learning in general), we aim at learning high-level, semantically plausible representations of animation data and human from 3D skeletal data in order to automate or replace different tasks of the animation pipeline which require sometimes rigorous human work.
Specifically, the tasks of interest include automatically classifying and locating human actions inside long, continuous Motion Capture (MOCAP) sequences. This will allow re-usability of the large amount of existing MOCAP data from which it is prohibitively long to retrieve information about the actions it contains.
Another task of interest is the search for movements not based on keywords, but based on similar animations. In this scenario, we aim at being able to find similar existing animations based on a query animation, removing the need for a precise action vocabulary, and again, enabling easy re-use of existing assets.

Voir la description complète du projet
Superviseur du corps professoral :

Christopher Pal;Michel Gagnon

Étudiant :

Partenaire :

Ubisoft Divertissement

Discipline :

Computer science

Secteur :

Entertainment and Media; Technology; Other

Université :

École Polytechnique de Montréal

Programme :

Accelerate

Planificateur de trajectoires modélisant automatiquement la dynamique d’un véhicule autonome en fonction de la perception de son environnement par un capteur de vision tridimensionnelle

L’Institut du véhicule innovant (IVI) situé à Saint-Jérôme a récemment mis sur pied le programme Arion qui vise à créer un système de navigation pour véhicule autonome hors route adaptable à plusieurs contextes et environnements. L’IVI veut transférer toute la technologie développée dans le développement de ce système à diverses PME partenaires désirant créer des produits reliés à l’automatisation véhiculaire. Actuellement, le contrôle d’un véhicule hors route évoluant dans des environnements complexes tels qu’une mine, une forêt ou un champ agricole représente un défi de taille. L’objectif du présent projet de recherche est de repousser ces limites en développant un système de navigation qui s’adapte à la fois à son environnement et à la dynamique complexe d’un véhicule hors route. Le coeur du projet consiste à construire un modèle statistique du robot à mesure que celui-ci se déplace. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

François Michaud

Étudiant :

Partenaire :

Institut du véhicule innovant

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Université de Sherbrooke

Programme :

Accelerate

Annual survey of Ontario’s publicly funded education system

Over the past 15 years, People for Education has conducted a survey of Ontario’s publicly funded schools. From this large-scale survey, People for Education produces research reports on public education in Ontario that are widely disseminated to the public and have been instrumental to informing educational policy in the province. The core objectives of this year’s survey are to examine school staffing levels, school access to specialists, school-community partnerships, and the extent of implementation of provincial mandates in career and life planning, English language learning, and special education. For this survey, the intern will analyze responses to the survey and provide the results to People for Education. The intern will also write research reports for public consumption on the results from the survey. By employing the intern, People for Education will improve its ability to analyze and write about its annual survey.

Voir la description complète du projet
Superviseur du corps professoral :

Scott Davies

Étudiant :

Partenaire :

People for Education

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Towards an operational database of forest bird abundance in British Columbia

Forest companies would like to reduce the number of birds, eggs, and nests that are negatively affected by logging. The problem is that we don’t have detailed knowledge of where every bird lives, so it’s difficult to make educated choices about where and how much forest to harvest. My research will provide a solution to this problem. I will relate bird data to forest characteristics like age and height to understand which forest types have the most birds, and to map out where birds are most likely to live. This information will be provided to the partner organizations and other forest companies to ultimately help develop logging plans that reduce accidental destruction of bird nests and eggs.

Voir la description complète du projet
Superviseur du corps professoral :

Erin Bayne;Fiona Schmiegelow

Étudiant :

Partenaire :

Canadian Forest Products Ltd;West Fraser

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

University of Alberta

Programme :

Accelerate

Modeling Wind loading on Roof-mounted Solar Modules

Rooftop solar modules installations are growing in popularity as the benefits of implementing these features on previously unoccupied roof space are being realized. A major concern with these installations is the contribution to the roof load due to the interaction between high wind speeds and the angled modules. Similarly, there are concerns with uplift on the backside of the modules. These loads can lead to high cost of the structural support for the modules. The wind patterns that occur during the interaction of these installations in series is complex, and presents challenges when modeled both in wind tunnels and CFD. The objective of this research would be to improve the computational simulations of extreme wind loading on roof mounted solar panels for RWDI. OpenFOAM will be used for the simulations because it does not require licencing and has a proven track record. It is expected that RANS and possibly URANS turbulence models will be used during these simulations. This will be useful to RWDI as requests for rooftop wind load assessment will become more common and RWDI aims to provide accurate and reliable results from a range of testing methods.

Voir la description complète du projet
Superviseur du corps professoral :

David H. Wood;David H Wood

Étudiant :

Partenaire :

Rowan Williams Davies & Irwin Inc

Discipline :

Engineering

Secteur :

Construction and infrastructure; Professional, scientific and technical services

Université :

University of Calgary

Programme :

Accelerate

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