Projets novateurs réalisés

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

30156 projets achevés

2861
AB
5059
C.-B.
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projets par catégorie

Quantum Optimal Transport-Enhanced Reduced Density Matrix Functional Theory for Spin Systems

Reduced Density Matrix Functional Theory (RDMFT) has emerged as a powerful tool for the characterization and prediction of electronic properties in quantum systems. This research project seeks to elevate the capabilities of RDMFT, particularly in the context of spin systems. In particular, we will develop Quantum Optimal Transport techniques for extracting electronic spin information and the incorporation of these techniques into RDMFT calculations. This research project run on pen&paper/theoretical development to implementation of computational algorithms into software packages (QC-Devs). Target applications include magnetic materials, quantum dots, and superconductors.

Voir la description complète du projet
Superviseur du corps professoral :

Augusto Gerolin

Étudiant :

Partenaire :

National University of Kharkiv

Discipline :

Physics

Secteur :

Quantum Science

Université :

University of Ottawa

Programme :

Globalink Research Award

Emerging Concepts and Technologies (ECT) Research Program – Heat Pump and Phase Change Thermal Energy Storage

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

Voir la description complète du projet
Superviseur du corps professoral :

Wayne Groszko

Étudiant :

Partenaire :

Net Zero Atlantic;Neothermal

Discipline :

Engineering

Secteur :

Sustainability & the Environment; Green/Alternative Energy; Clean Technology

Université :

Nova Scotia Community College

Programme :

Accelerate

Towards the development of an in silico model for the zebrafish action potential

The heart beats 3-4 billion times in one’s lifetime, while adapting its activity to meet the body’s continuously changing physiological demands. This adaptation is driven partly by the central nervous system, which sends signals to a network of nerves in the heart, known as the intracardiac nervous system (IcNS). Many believe the IcNS acts as a ‘little brain in the heart’, by combining nervous system inputs and local information to rapidly alter the heart’s output in response to changes in its environment. Yet a clear understanding of the inner workings of this system remains elusive. The zebrafish has emerged as a powerful tool to study the IcNS in the whole heart, which is limited in mammals. The goal of my proposed project is to gain further understanding of the IcNS through the creation of a zebrafish-specific mathematical model, which I will bring back to Canada and combine with my experimental work to generate new fundamental knowledge about IcNS function and its importance in the healthy and diseased heart.

Voir la description complète du projet
Superviseur du corps professoral :

Alex Quinn

Étudiant :

Partenaire :

Politecnico di Milano

Discipline :

Life Sciences

Secteur :

Education

Université :

Dalhousie University

Programme :

Globalink Research Award

Enhanced Training of Machine Operations and Maintenance using VR/AR Technologies

Virtual Reality (VR) and Augmented Reality (AR) technologies are proposed to improve existing training methods of machine operations and maintenance. It can reduce the need of the physical equipment to get hands on experience. Virtual models of machines are built to perform all the tasks as required in the real life such as troubleshoot different failures so that users can master the machine operation and maintenance without the risk and cost of the real machine. Training and maintenance simulations of different scenarios are developed to meet different industrial needs. Partner organization will benefit from improved worker skills, leading to safe and efficient operations.

Voir la description complète du projet
Superviseur du corps professoral :

Qingjin Peng

Étudiant :

Partenaire :

North Forge

Discipline :

Engineering

Secteur :

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

Université :

University of Manitoba

Programme :

Accelerate

Transformation numérique et gestion du changement dans un organisme à but non lucratif (OBNL)

La démarche d’une organisation à but non lucratif (OBNL) vise à réussir sa transformation numérique tout en créant de la valeur pour ses clients, projets et services. Les étapes clés du processus comprennent l’analyse de l’organisation avant sa transformation numérique, l’identification des domaines prioritaires d’intervention, l’évaluation de son niveau de maturité, l’identification des besoins en technologie et en gestion du changement. Les résultats de cette évaluation aideront à identifier les forces, faiblesses, compétences à renforcer et les domaines nécessitant des améliorations. Enfin, une approche recherche-action utilisant des données qualitatives et quantitatives sera préconisée pour atteindre les objectifs de recherche et élaborer une stratégie de mise en oeuvre numérique efficace.

Voir la description complète du projet
Superviseur du corps professoral :

Véronique Nabelsi

Étudiant :

Partenaire :

Centre de recherche en technologies langagières

Discipline :

Business

Secteur :

Administrative and support, waste management and remediation services; Professional, scientific and technical services

Université :

Université du Québec en Outaouais

Programme :

Accelerate

Blockchain-Enhanced Fake News Detection in Social Networks

This project aims to take advantage of the blockchain ecosystem to detect fake news. This is done by designing a rating system that works on the blockchain network through which a group of verified reviewers will rate the news prior to broadcasting. News with inadequate verification from reviewers will be marked as ‘fake’. Afterward, the social network will be informed of such news. Consequently, the news is either deleted or marked as fake on the social network. Moreover, the blockchain network prevents future fake news with similar content from being published using machine learning models that are trained with past detected fake news.

Voir la description complète du projet
Superviseur du corps professoral :

Sara Rouhani

Étudiant :

Partenaire :

North Forge

Discipline :

Computer science

Secteur :

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

Université :

University of Manitoba

Programme :

Accelerate

Anti-islanding detection for renewable energy systems indistribution system

Integration of renewable energy systems into grid is an effective solution to the electric energy shortage and environmental pollution. A number of technical challenges may arise with increased grid-connected renewable energy systems. One of the most important issues is how to achieve the islanding protection. Many anti-islanding detection methods have been reported for single renewable energy systems in the last decades. In practice, however, the multi-unit systems are distributed in different feeders. Consequently, all of the existing methods might fail in this case. Failure of antiislanding detection will degrade system reliability and even pose a safety risk to utility workers and the general public. Therefore, the objective of the project is to develop an effective anti-islanding detection strategy for the multiple grid-connected renewable energy systems. The results of this study will be beneficial for Hydro One Network to achieve the reliable anti-islanding protection for multiple inverters in distributed grid.

Voir la description complète du projet
Superviseur du corps professoral :

David Xu

Étudiant :

Partenaire :

Hydro One

Discipline :

Engineering

Secteur :

Clean Technology; Energy and Utilities; Green/Alternative Energy

Université :

Toronto Metropolitan University

Programme :

Accelerate

Conductive Battery Binders

The increasing demand for lithium-ion batteries in daily applications has driven the need for improved battery technology. However, the separation of battery electrode components is a key factor leading to a decrease in battery lifetime. Traditional binders, a critical component in batteries, have been associated with high costs and environmental concerns due to the use of toxic solvents and energy-intensive drying processes.
Our innovative binder, PPy:CMC, offers a solution that maintains performance comparable to commercial binders. What sets it apart is its water-processable nature, eco-friendliness, and cost-effectiveness. Not only does this technology reduce energy consumption and associated costs by 80%, but it also saves valuable manufacturing space by eliminating the need for drying ovens.

Voir la description complète du projet
Superviseur du corps professoral :

Christian Kuss

Étudiant :

Partenaire :

North Forge

Discipline :

Physics

Secteur :

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

Université :

University of Manitoba

Programme :

Accelerate

3D topographic acquisitions to avoid serial x-rays during scoliosis brace treatment

In this study, patients with idiopathic scoliosis followed at SickKids will undergo topographic analysis using the Momentum Health scanning application in addition to standard of care clinical evaluation and x-rays. The study period is 1 routine clinic visit followed by 3 months after. Patients will self-scan 1x/month at home for the following 3 months. The sample size will be approximately 15 patients treated with a brace and 15 without. The results of this study are expected to inform the direction of future related research. The accuracy of Momentum Health’s Cobb angle predictions will advise the team if it is pragmatic to consider a large-scale noninferiority randomized control trial that limits routine imaging at this point or if further training of the algorithm is needed. Results will also notify Momentum Health if a separate algorithm for braced patients should be considered.

Voir la description complète du projet
Superviseur du corps professoral :

David Lebel

Étudiant :

Partenaire :

Momentum Health

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Manufacturing

Université :

University of Toronto

Programme :

Accelerate

Characterization of RF and Microwave Systems using a Low- Cost Distributed Measurement Solution

Tech companies must regularly use expensive bench-top instrumentation to test the devices and systems they bring to market by making accurate input-output measurements of the attenuation and time-delay of RF/MW energy when it propagates through, or across, their devices or systems of concern. When the system being measured becomes very large, such as when one wants to characterize how the RF/MW energy propagates between two points in a wireless communication or large sensing network, the measurement task becomes extremely difficult using existing bench-top instrumentation because measuring the time-delay between two points in the network requires the synchronization of the distantly located plurality of instruments needed to make the measurement. Our measurement solution utilizes a novel lowcost
power measurement device which is placed at each point within an RF/MW system, to accurately characterize the RF/MW energy propagation using only independent power measurements without the need to synchronize individual devices with a common source.

Voir la description complète du projet
Superviseur du corps professoral :

Joe LoVetri

Étudiant :

Partenaire :

North Forge

Discipline :

Engineering

Secteur :

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

Université :

University of Manitoba

Programme :

Accelerate

Antioxidant properties of Chaga extracts of different vintages

Over the years, edible mushrooms have gained increasing recognition for their nutritional value and the potent medicinal properties they offer. Bioactive compounds found in mushrooms, particularly phenolic compounds,
exhibit valuable qualities such as anti-proliferative and antioxidant properties. Surprisingly, until now, there has been no investigation into the potential antioxidant effectiveness of Chaga mushrooms of different ages. As a
result, this study aims to identify the phenolic compounds present in Chaga mushrooms from various vintages and to compare their antioxidant capabilities. This research serves as a foundational step in the development of
Chaga capsules as part of a complementary and alternative medicine (CAM) approach to managing chronic diseases.

Voir la description complète du projet
Superviseur du corps professoral :

Semone Myrie

Étudiant :

Partenaire :

North Forge

Discipline :

Life Sciences

Secteur :

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

Université :

University of Manitoba

Programme :

Accelerate

Testing Occupational Exoskeleton Performance in Different Types of Construction Activities

Occupational exoskeletons (OEs), including arm-support exoskeletons (ASEs) and back-support exoskeletons (BSEs) are wearable devices designed to assist and enable human motion for workers in various industries ranging from manufacturing to construction. As with workers in other industries, the opportunity provided by ASEs and BSEs for construction workers is to reduce injury rates for the benefit of worker health and productivity. Potential risks also exist, including discomfort, compromised balance, snags, and increased stress in the unassisted regions of the body. The challenge comes in finding effective OEs for specific construction trades working on specific project types. To meet this challenge, this project aims to evaluate the performance of OEs in different types of construction activities under a variety of actual site conditions. The evaluation framework will include the assessment of the effects on health and productivity of both an ASE and a BSE. The testing will involve a large number of workers with a variety of attributes, including gender, age, and workers with prior injuries.

Voir la description complète du projet
Superviseur du corps professoral :

Amin Hammad;Mazdak Nik-Bakht;Nancy St-Onge

Étudiant :

Partenaire :

Hydro-Quebec

Discipline :

Engineering

Secteur :

Construction and infrastructure; Professional, scientific and technical services; Utilities

Université :

Concordia University

Programme :

Accelerate