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
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696
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899
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9419
ON
9858
QC
98
PE
619
NB
1192
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Projets par catégorie

Detection for Smart Home Devices’ Environment with Neural Network

As smart home and artificial intelligence technologies are developing rapidly, smart home devices contribute to better living quality and safer spaces. These smart devices are intelligent agents. They receive a variety of signals through sensors placed in ecobee’s thermostats, light switches and other smart devices and controls the heating and cooling, lighting, as well as providing important notifications. In this project, we would like to analyze sensory data and develop various machine learning solutions for characterization of the devices’ environment (e.g. object detection and audio classification). Currently, machine learning and deep learning algorithms have achieved significant improvement in building intelligent agents. We will apply them to assist ecobee’s products to better understand the environment and make better decisions.

Voir la description complète du projet
Superviseur du corps professoral :

Roger Grosse

Étudiant :

Partenaire :

Ecobee Inc

Discipline :

Computer science

Secteur :

Manufacturing

Université :

University of Toronto

Programme :

Accelerate

Detection and Characterization of the Synovium in Musculoskeletal Ultrasound

Arthritis is a chronic disease that severely decreases the quality of life and affects almost 4.6 million Canadians, costing $33 billion for the Canadian economy every year. Affected individuals experience pain and disability through an extended period of time. Rheumatoid arthritis (RA), a common form of arthritis, is an autoimmune disease characterized by the inflammation of the synovium, or synovial membrane, a connective tissue that provides a cushion between bones and tendons and muscle around a joint. Characterization of the synovium is crucial for the management of RA as well as a useful marker of treatment efficiency. Ultrasound imaging is an affordable non-invasive technique to assess the synovium for thickening. The examination of the images is often contingent on sonographers and clinicians. Therefore, the current research proposes to utilize deep learning to accurately and reliably assess the synovium on ultrasound images, and then implement the network in the software implementable in medical settings.

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Superviseur du corps professoral :

Pascal Tyrrell

Étudiant :

Partenaire :

16 Bit

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Energy Optimization Design Tool for Data-driven Building Massing

This project enhances the impact of a basic tool for early stage design decisions such as orientation,and building envelope composition on energy performance of the building. The proposed project adds the capabilities of the basic tool to drive, not only decisions regarding the design articulation of the building envelope, but also the design of the building geometry as a whole, in order to optimize the overall energy performance of the building. The tool will aim as well at integrating advanced building envelope systems (such as ventilated facades) with other building systems (e.g. HVAC/ electrical system).

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Superviseur du corps professoral :

Caroline Hachem-Vermette;Joshua M Taron

Étudiant :

Partenaire :

DIALOG

Discipline :

Sociology

Secteur :

Sustainability & the Environment; Clean Technology

Université :

University of Calgary

Programme :

Accelerate

Intelligent Piezoelectric Transduction System for In-situ Health Monitoring of Concrete Elements

Concrete elements are extensively used in urban structures including high-rises, bridges, dams and tunnels, and testing their quality and monitoring their health is of extremely high importance in the industry.
In this project, use of piezoelectric transducers along with wireless communication and memory elements is suggested to overcome the limitations with the current methods. Piezoelectric elements are embedded in a concrete element at the time of construction. They will later generate alternating forces in the concrete and sense the reaction of the elements. This reaction will be used to make conclusions about the health conditions of the concrete elements.
Advanced computer modelling and computational techniques will be adopted to find a correlation between the concrete health conditions and its reaction to force disturbances. The final product will be able to communicate the results with the outside and help the engineers and inspectors know about the quality and lifetime of the structure.

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Superviseur du corps professoral :

Mehrdad Moallem

Étudiant :

Partenaire :

Concrete MRI

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

Simon Fraser University

Programme :

Accelerate

Planora – Confections d’horaires

Planora est une entreprise qui offre une solution informatique pour
optimiser les horaires de personnels dans une large gamme de secteurs d’activites tels que
les centres de contacts, les systemes de la sante, les services de la protection & des
urgences, les ventes au detail, etc. Cette solution est constituee de deux modules distincts.
O’une part, un module de prevision de la demande et de dimensionnement est utilise pour
trouver Ie nombre d’employes optimal a chaque periode. O’autre part, un module
d’optimisation des horaires est lance a partir du dimensionnement pour construire un horaire
respectant divers lots de contraintes desires par Ie gestionnaire. Le projet consiste donc a
fusionner Ie dimensionnement avec Ie module d’optimisation afin de rendre plus realiste
I’impact d’un manque ou d’un surplus de ressources a une periode don nee lors de
I’optimisation. O’une part, ce projet permettra a I’organisation partenaire d’enrichir et
d’ameliorer la robustesse du modele mathematique et d’autre part, il permettra de faciliter la…

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Superviseur du corps professoral :

Sylvain Perron

Étudiant :

Partenaire :

Planora

Discipline :

Business

Secteur :

Université :

HEC Montréal

Programme :

Accelerate

Designing and developing a real-time medical data transfer system for space health usage

In recent years there has been a rapid increase in companies providing rocket launch services for private space travel (SpaceX, Blue Origin and Virgin Galactic to name a few). Access to space by private citizens means that companies will need to collect health information from the private astronauts as well monitor their health while in space. This information will have to be transmitted from space to the ground in a secure manner so that individual health information remains private. Mission Control Space Services (Mission Control) is a company which specializes in the transmission of data from remote sources using satellites. The intern is in the Aerospace Physiology Laboratory which conducts research in astronaut health and will have a demonstration CubeSat orbiting the earth in 2021. They will use their combined information construct a communication system that will be used to transmit secure health data to and from orbit.

Voir la description complète du projet
Superviseur du corps professoral :

Andrew P. Blaber

Étudiant :

Partenaire :

Mission Control

Discipline :

Life Sciences

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Casting and Production of HT9 for Advanced Reactor Fuel Cladding

In recent years there has been renewed interest in nuclear power for the purposes of combating climate change. ARC Nuclear’s ARC-100 reactor design requires extensive research and development to deploy a prototype. Significant effort is needed to develop the materials to be used in the reactor’s core. HT9 is a specialty steel alloy which has shown some promising results in the past and therefore has been selected for use in the ARC-100. The main objective of this project is to manufacture a batch of HT9 and test its properties, to ensure that it can withstand the environment of a nuclear reactor core. This knowledge will allow ARC Nuclear to make an informed choice: whether they should use HT9 and begin its commercial production; or, pursue different materials instead.

Voir la description complète du projet
Superviseur du corps professoral :

William Cook

Étudiant :

Partenaire :

ARC Nuclear Canada Inc;CanmetMATERIALS

Discipline :

Engineering

Secteur :

Utilities

Université :

University of New Brunswick

Programme :

Accelerate

Ultrasound image analysis for identifying blood in an existing effusion in knee joint

Ultrasound, an inexpensive, accessible and portable device is gaining popularity in various disease diagnoses. In this project, we aim to analyze the ultrasound images generated for knee joint for diagnosing hemarthrosis (joint bleeding), a common clinical event in patients with severe hemophilia. We aim to analyze the images using machine learning and deep learning techniques. As the major challenge in this case is the scarcity of number of cases with hemophilia, we plan to use one-shot learning techniques, which use neural networks to learn the similarity features between images and need only few training images. The learned model will be deployed in 16 Bit software for diagnosing hemarthrosis in hemophilic patients.

Voir la description complète du projet
Superviseur du corps professoral :

Vassilios Tzerpos

Étudiant :

Partenaire :

16 Bit

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

York University

Programme :

Accelerate

Developing a lipid nanoparticle-based gene therapy approach for the treatment and prevention of SARS-CoV-2 infection

The current global health emergency surrounding the coronavirus outbreak highlights the need for new treatments to combat virus infections and ways to prevent similar outbreaks in the future. Our research team has devised novel strategies to develop an effective vaccine and anti-viral drugs to treat and prevent infections by such viruses. This grant application is designed to rapidly develop and test these therapies for use in the current outbreak and to limit the spread and health consequences of any similar outbreaks in the future

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Superviseur du corps professoral :

Frank Wuest;John Lewis

Étudiant :

Partenaire :

Entos Pharmaceuticals

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

Investigating the primary target and mechanism-of-action of 2-MMB for the treatment of LQTS

Long QT Syndrome (LQTS) is a genetic disorder that causes prolongation of cardiac repolarization, observed as an elongation between the Q and T waves observed on an electrocardiogram. The lengthening of these waves can cause unexpected and life threatening arrhythmias. Current therapies for the LQTS are limited to ?-blockers and left cardiac sympathetic denervation which prevent fatal arrhythmia and Implantable Cardiac-Defibrillators (ICD) which terminate arrhythmia. However, these therapies often need to be used in combination, and impact negatively the quality of life of the patients. So far, no therapy actually restores normal repolarization and shortens the QT interval. Recently a compound, 2-MMB, has been reported to rescue LQTS on zebrafishes by correcting the repolarization defect. However, no therapeutic target has been identified yet for this compound, and the mechanism of action remains unknown. The purpose of that project is to identify the therapeutic target of 2-MMB.

Voir la description complète du projet
Superviseur du corps professoral :

Andreea Schmitzer

Étudiant :

Partenaire :

Thryv Therapeutics

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Biotechnology; Pharmaceuticals

Université :

Université de Montréal

Programme :

Accelerate

3D Conformal thermal therapy of the soft tissues for treatment of localized cancerusing MRI-controlled ultrasound therapy

MRI-guided ultrasound therapy is a powerful method of image-guided therapy for cancer treatment in
which ultrasound energy is used to coagulate (or cook) a target region of tumor. This kind of treatment
has been developed as an alternative to conventional therapies (radiation, surgery) which are associated
with high complication rates and long recovery times. Successful application of this technology for
treatment of localized cancer requires the ability to deliver the energy to a targeted region of the organ,
while avoiding thermal damage to surrounding structures. This requires accurate control over spatial
and temporal deposition of energy to regulate the temperature. The goal of this research project is to
develop advanced control strategies to enhance the treatment effectiveness of the ultrasound therapy
system.

Voir la description complète du projet
Superviseur du corps professoral :

Raymond Kwong

Étudiant :

Partenaire :

Sunnybrook Health Sciences Centre

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

University of Toronto

Programme :

Accelerate

A Framework for Enhancing Fire Safety Engineering Education in Quebec

Our proposal continues our SFPE International research project on Anthropometric Data and Movement Speeds but directs the project’s goal to enhancing fire engineering resource development and research dissemination in Quebec. Our proposal is multi-staged. We primarily focus on the finalization of the compilation of existing emergency movement data which can be used by various engineering consultancies conducting ASET / RSET analyses or alternative solutions for egress management. Our movement data would come from our own collected research recorded before 2019 (which broadly includes pedestrian behavior in emergency and non-emergency circulation studies in stadiums, cultural centers, train stations, etc., with special considerations for accessibility, upwards/downwards movement, etc.). Our secondary research focus involves the development, preparation and conduction of a module series of Human Behavior in Fire for the first time in North America conducted in French, to ensure Canadian accessibility. As well as the enhancement of other tailored education resources that can be used by all Canadian practitioners. These module series will utilize the analyzed data taken from these previously recorded footages.

Voir la description complète du projet
Superviseur du corps professoral :

John Gales

Étudiant :

Partenaire :

SFPE Conseil St-Laurent

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

York University

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.