Projets novateurs réalisés

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

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

A Geomatics based integrated resource management model for watersheds

Integrated management of land and water resources is critical to best addressing increasing resource
demands of society while maintaining a healthy environment. Combining computer mapping and
satellite data at the watershed scale with integrated resource management models will provide
governments, industry and nongovernmental agencies with a new generation of resource planning
and management capabilities. Watersheds are a natural management unit – defined by interactions of
geologic and atmospheric processes.
Our integrated modelling platform provides high resolution real-time capability to assess
changing resource issues in mountains – the water towers of the world. Such capabilities are critical
to short, medium and long-term management. Short and medium term issues can be challenging:
examples include flood protection, optimizing hydroelectric generation and water allocation in times of
drought. Longer-term adaptation to inter-annual and inter-decadal environment change requires highlevel
resource management tools. Our modeling capacity is critical to address all these management
issues in watersheds around the world.

Voir la description complète du projet
Superviseur du corps professoral :

James Byrne

Étudiant :

Partenaire :

NOVUS Environmental;TECTERRA Inc

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

University of Lethbridge

Programme :

Accelerate

A Camera Stabilization Gimbal System for A Small Unmanned Aerial Vehicle

Remote industrial installations and other areas requiring surveillance can be monitored effectively by
an Unmanned Aerial Vehicle (UAV). UAVs are remotely operated, with on-board camera systems.
Fixed camera systems are of limited use, because the field of view is limited to the direction in which
the aircraft is flying, which continually changes as the aircraft moves while flying. A gimbal system
can reduce this effect by compensating for changes in aircraft orientation, which fixes the direction of
the camera. Most stabilizing gimbal systems are designed for payloads on human-piloted aircraft, and
for fairly large cameras The objective of this project is to design and develop a compensating pan-tilt
gimbal system for a small UAV. The unit will carry a camera that can be pointed with an
electromechanically actuated articulation system, allowing the camera to track a designated azimuth
and elevation during flight manoeuvres.

Voir la description complète du projet
Superviseur du corps professoral :

Michael Lipsett

Étudiant :

Partenaire :

ING Robotic Aviation (Sherbrooke, QC)

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Alberta

Programme :

Accelerate

Development of a Fully Automated Refuse Collection System

The proposed project involves the development of a fully automated system for municipal
waste collection. We will develop a ruggedized vision-based control system and a truckmounted
robot to pick up municipal waste containers and deposit their contents into the back
of a standard waste collection vehicle. The solution is envisioned as an add-on for existing
trucks that will not require municipalities to replace their entire fleets. Waterloo Controls
estimates the annual market to be in the range of 5000-10000 units.

Voir la description complète du projet
Superviseur du corps professoral :

Kenneth McIsaac

Étudiant :

Partenaire :

Waterloo Controls Inc

Discipline :

Engineering

Secteur :

Administrative and support, waste management and remediation services

Université :

Western University

Programme :

Accelerate

Effect of novel iron chelators on cell growth inhibitionby anti-mitotic drugs and irradiation

Iron is required for the growth of all animal cells, being necessary for the proper function of diverse
enzyme systems and the expression of certain genes, as well as for the production of oxygen radicals
that function as signal transduction intermediates and help defend against microorganisms.
Interestingly, preliminary findings indicate that both mouse and human cancer cells (used to model
continuously growing animal cells) are more sensitive to iron withdrawal than are their normal
counterparts, and are also able to discriminate between different iron-chelating agents. The proposed
research will test the hypothesis that iron withdrawal (using novel iron-chelating agents developed by
Chelation Partners Incorporated) will enhance the cytostatic and/or cytotoxic activity of other cell
growth inhibitors, including anti-mitotic drugs and irradiation. New inSights into the control of animal
cell growth at the level of iron requirements will have important biotechnology and biomedical
applications.

Voir la description complète du projet
Superviseur du corps professoral :

David Hoskin

Étudiant :

Partenaire :

Chelation Partners Inc

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

Dalhousie University

Programme :

Accelerate

Integration of multiple modalities and radar modules for vitals monitoring

This project will seek to use novel radar technology in addition to computer vision to remotely detect vital signs (Heart Rate, Respiratory Rate, Movement and Temperature) of multiple patients. This will help lead to decreased morbidity of patients in areas such as waiting rooms, hospital or police seclusion rooms and other unique environments such as refugee camps, safe injection sites or pandemic screening facilities.

Voir la description complète du projet
Superviseur du corps professoral :

Guy Dumont

Étudiant :

Partenaire :

Aberrant Designs

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Multivariate sequential data generator with long term, non-linear dependency

Financial data are known to be generated from complex distributions, often assumed to be changing over time. The aim of this project is to build a simulator of multivariate time series, parameterized as simply as possible by a user, with the freedom to build different models, to assess their general behavior and key properties. This will facilitate predictions of multiple sequences and their interactions, through a simple interface of possible configurations to the user, who could have a basic knowledge of statistics and limited knowledge of the mathematical details of the underlying models. More generally, the user will have to be able to define certain variables’ characteristics, as well as dependencies between variables and time dependencies. Standard econometric models will be used as well as recent machine learning techniques to introduce non-linearities and time-dependency over a large period of time.

Voir la description complète du projet
Superviseur du corps professoral :

Fabian Bastin

Étudiant :

Partenaire :

Caisse de dépôt et placement du Québec

Discipline :

Computer science

Secteur :

Finance and Insurance

Université :

Université de Montréal

Programme :

Accelerate

Définition d’une méthode d’analyse structurelle statique et dynamique pour un système de traction par chenilles de machinerie agricole

Un système de traction à chenille pour la machinerie agricole est un mécanisme complexe composé de plusieurs joints, glissières et de matériaux déformables avec un comportement complexe (caoutchouc). Pour cette raison, Camso, fabricant de système de chenilles, utilise beaucoup les essais en laboratoire et sur terrain pour valider la fiabilité et la durabilité des pièces de ses produits. Le projet vise à développer des outils de simulation numérique pertinents et fiables qui permettraient à Camso prédire rapidement, en phase de conception préliminaire, les efforts transmis à chacune des pièces du système. Camso pourrait alors à la fois économiser des coûts de développement et optimiser la performance des produits en ayant la possibilité de prédire celle-ci en amont.

Voir la description complète du projet
Superviseur du corps professoral :

Jean-Sébastien Plante

Étudiant :

Partenaire :

Camso

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Université de Sherbrooke

Programme :

Accelerate

Optimisation des parcours de drones afin de maximiser la probabilité de détection d’une cible en détresse sur l’eau

Ce projet vise à optimiser les déplacements d’une flotte de drones qui sont utilisés pour détecter et reconnaître des personnes ou des bateaux sur une étendue d’eau permettant de minimiser les pertes humaines en intervenant le plus rapidement possible lors d’une situation d’urgence. La flotte de drones est reliée à une base et à une antenne 5G ce qui permet à l’équipe de secours de prendre des photos dans différentes zones de recherche. Le modèle d’optimisation vise à maximiser l’information obtenue tout en tenant en compte la capacité des drones en termes d’énergie électrique, la capacité de mémoire maximale de la caméra, et l’absence de communication possible avec le drone une fois qu’il est hors du rayon de l’antenne. Pour résoudre ce problème, un algorithme exact et une heuristique seront développés.

Voir la description complète du projet
Superviseur du corps professoral :

Julie Paquette;Jorge Mendoza Gimenez

Étudiant :

Partenaire :

SATWII Solutions;Xpert Solutions Technologiques

Discipline :

Mathematics

Secteur :

Professional, scientific and technical services

Université :

HEC Montréal

Programme :

Accelerate

Measuring the Economic Impact of Social Cohesion in New Brunswick: A Proof of Concept

The intern will review past approaches which have endeavoured to capture the concept of social cohesion as a numerical index. Additionally, they will examine methods which have attempted to better understand the value of non-monetary benefits such as civic engagement or social support networks. Having examined such previous work, the intern will select a social cohesion index method and given the data available, examine its impact on societal well-being. This work will directly benefit Dialogue New Brunswick as the organization recently expanded upon its mission, broadening its scope in order to address the inclusiveness and acceptance of all New Brunswickers.

Voir la description complète du projet
Superviseur du corps professoral :

Barry Watson

Étudiant :

Partenaire :

Dialogue Nouveau-Brunswick

Discipline :

Sociology

Secteur :

Education

Université :

University of New Brunswick

Programme :

Accelerate

Adaptive Dialog Techniques for Chatbots

This research focuses on the development of machine learning and natural language processing
techniques for adaptive chatbots that can converse with users and learn about the world. The
outcome will be a generic bot that can be instantiated with different personalities and knowledge
bases to entertain users of the popular Kik messenger about different topics. It will improve the
dialog abilities of Kik’s current chat bot, which receives more than 1 million messages per day.
The immediate benefit will be higher user engagement. The second benefit will be a proof of
concept for future chatbots that celebrities may use to entertain their fans or companies may use
for one-on-one interactions with their customers. This work will propel Canada at the forefront
of automated dialog systems, which are seen as the key for improved user experience in
smartphones, personalized marketing and video-gaming.
Mitacs

Voir la description complète du projet
Superviseur du corps professoral :

Pascal Poupart;Jesse Hoey

Étudiant :

Partenaire :

KIK Interactive

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

University of Waterloo

Programme :

Accelerate

Optimized Controllers for Second-life Battery Energy Storage Systems

The world’s electricity grids need affordable batteries to store large amounts of energy and allow for increased renewable power sources like wind and solar. Instead of building new batteries from scratch, millions of used batteries from retired electric vehicles can be given a second life on the electricity grids for a lower price and a smaller environmental footprint. This research project will develop a new computer program that can manage large groups of second-life batteries so they work effectively together as a team and even outperform more expensive batteries. Ultimately, this will help make renewable energy more affordable and more sustainable. Partnering with the Lab2Market program will contribute to the development of innovative technologies in Canada.

Voir la description complète du projet
Superviseur du corps professoral :

Lukas Swan

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Engineering

Secteur :

Energy and Utilities; Green/Alternative Energy; Sustainability & the Environment

Université :

Dalhousie University

Programme :

Accelerate

Comparative analysis of real-time weld quality monitoring camera systems working in visible, IR and NIR spectra

Real-time weld monitoring system helps prevent the rejection of large portions of defective welds. It is likely that monitoring camera systems that work in infrared light may be able to reveal some weld defects better than the visible light cameras. The project goal is to perform a comparative experimental study on the ability of the infrared and visible light cameras to detect weld imperfections. The partner organization for this project is Xiris Automation Inc., a company that produces real-time welding control and monitoring systems. The results obtained within this project will help the partner to produce better customers-oriented systems that will increase the productivity of the manufacturing processes of the Canadian industry.

Voir la description complète du projet
Superviseur du corps professoral :

Patricio Mendez

Étudiant :

Partenaire :

Xiris

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Alberta

Programme :

Accelerate

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Mitacs — Retour sur innovation

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.