Projets novateurs réalisés

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

31 620 projets complétés

2978
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5221
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856
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696
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899
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9419
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9858
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98
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619
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1192
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Projets par catégorie

Innovating Technologies for Reducing Falls Risk in COVID-19 Healthcare Settings

One of the side effects of the COVI D-19 pandemic is that older people in institutional care tend to be more socially isolated and get less physical exercise. This is likely to increase falls risk both directly through reduced strength and balance because of insufficient exercise, and indirectly due to effects of depression leading to reduced awareness of obstacles and trip hazards in the environment. In this project we will test an innovative exercise technology (2RaceWithMe, developed by AGEWELL NCE researchers) to see if it can reduce falls risk in institutional care environments. 2RaceWithMe uses hand and foot exercise peddlers with onboard computers, engaging video courses and a large curved screen with videoconferencing (where people can cycle with each other either co-presently or remotely). Using standard measures of falls risk that are collected before, during and after the three month 2RaceWithMe intervention, we will measure the impact of 2RaceWithMe on falls risk.

Voir la description complète du projet
Superviseur du corps professoral :

Mark Chignell

Étudiant :

Partenaire :

HIROC

Discipline :

Engineering

Secteur :

Finance and Insurance

Université :

University of Toronto

Programme :

Accelerate

Développer une nouvelle génération d’agent cognitif avec raisonnement intégré : un pas vers l’identification des facteurs causaux de la COVID-19.

Bien que des systèmes de monitoring des patients existent déjà, leur accessibilité est souvent limitée en milieu hospitalier, réservé aux soins aigus. De plus, ils sont de nature particulièrement encombrante de par le nombre d’électrodes, capteurs et fils qui les compose. Un système de monitoring (‘wearables’) plus léger, plus accessible, et pas cher intégré aux algorithmes d’intelligence artificielle permettrait la surveillance d’un plus grand nombre de patients dans des environnements plus variés (c.-à-d. salle d’attente, à domicile et CHSLD) et permettrait d’avoir un avis plus précoce sur quelconque détérioration clinique sur laquelle il nous serait possible d’intervenir. Notre but est d’utiliser les résultats des recherches fondamentales et appliquées effectuées dans le domaine de l’intelligence artificielle par les chercheurs à l’UQTR et JACOBB, au centre de recherche de l’hôpital Sacré-Cœur, et les compagnies spécialisés de wearables, afin de créer un modèle causal capable de faire dépistage de COVID-19 et les maladies similaires.

Voir la description complète du projet
Superviseur du corps professoral :

Usef Faghihi

Étudiant :

Partenaire :

JACOBB

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université du Québec à Trois-Rivières

Programme :

Accelerate

Privacy-preserving Federated Learning Algorithms and Dashboarding to enable COVID-19 health analysis

This research project will enable Krate Distributed Information Systems Inc. (Krate) to provide two software as a service (SaaS) cloud products that will integrate with the distributed computer platform of fellow startup Distributed Compute Labs (DCL) to aid COVID-19 researchers. DCL’s distributed computer is in use by scientists and researchers across Canada (this company’s product was approved by the Government’s “Help Canada Combat Coronavirus Disease” fast-track program). The two services that are being researched as part of this project are (1) Privacy-preserving artificial intelligence (A.I.) and (2) Privacy-preserving dashboard. Research outcomes of these studies provides services to COVID-19 health researchers that enables them to collaboratively focus on their research without worrying about protecting the participant’s data privacy.

Voir la description complète du projet
Superviseur du corps professoral :

Orland Hoeber;Alireza Manashty

Étudiant :

Partenaire :

Krate Distributed Systems Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Regina

Programme :

Accelerate

Flexural behaviour of strengthened prestressed hollow-core slabFlexural behaviour of strengthened prestressed hollow-core slabs with bonded and unbonded prestressed carbon fiber reinforced polymer (CFRP) plates under various prestress levels.s with bonded and unbonded prestressed carbon fiber reinforced polymer (CFRP) plates under various prestress levels

The overall objective of this project is to enhance the strengthening efficiency of prestressed hollow-core slabs (PHCS) by using prestressed CFRP plates. More specifically, this project aims to investigate the behavior of the PHCS elements strengthened with prestressed CFRP plates. The application of the innovative patented anchor system developed at the University of Waterloo offers a good platform to facilitate the strengthening process in an efficient and cost effect way. The proposed research is expected to tackle problems of wide implication yet rarely addressed in the PHCS strengthening domain by introducing a site applicable strengthening technique for existing and in-service concrete structures.

Voir la description complète du projet
Superviseur du corps professoral :

Adil Al-Mayah

Étudiant :

Partenaire :

Fritz-Alder Precast Services

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

University of Waterloo

Programme :

Accelerate

LimoiJoule : Énergie urbaine rationnelle et résiliente – Part 1

Canaliser la valeur des matières abondantes gaspillées et les recycler afin d’obtenir une meilleure qualité de l’air et un chauffage plus abordable pour tous les citoyens.

Voir la description complète du projet
Superviseur du corps professoral :

Sebastien Tremblay

Étudiant :

Partenaire :

Abrafo Negajoule

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Université Laval

Programme :

Accelerate

Improving protein-ligand binding models using multidimensional, mixed-confidence training data – Part 2

There currently are no approved treatments for COVID-19, as global case counts increase daily. High infectivity and long time-to-recovery for COVID-19 cases is straining health-care systems globally. There is an urgent need to discover therapeutics that treat patients and improve clinical outcomes. Research and Development timelines associated with vaccines and new chemical entities will not reach clinics in time to mitigate the current patient surge, leaving drug repurposing as the most practical short-term solution. Most repurposing efforts to date focus on drugs that have previously shown antagonistic activity against other viruses. A broad patient population with diverse pre-existing conditions calls for as many diverse treatment strategies as possible. This proposed project will apply AI technologies to mine the biological networks formed between virus and human proteins and predict existing FDA-approved drugs that can interrupt these interactions.

Voir la description complète du projet
Superviseur du corps professoral :

Joe LoVetri;Bo Wang

Étudiant :

Partenaire :

Cyclica

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Manitoba; University of Toronto

Programme :

Accelerate

Polyamide-Based Triboelectric Nanogenerator for High Performance Energy Harvesting & Self Powered Sensing Applications

Fast development of more powerful and smaller mobile electronics suggested the need for development of sustainable energy resources as well as innovative sensor systems with improved accuracy and reduced power consumption. Moreover, utilizing appropriate sustainable energy resources would be beneficial for environmental protection. Such demands resulted in a great interest toward development of the triboelectric nanogenerators (TENG) to be used in future electronics. Triboelectric Nanogenerators are known as a robust system for mechanical sensing and mechanical energy harvesting by converting the mechanical energy into an electrical output. Given this background, the objectives of the proposed project would be design and development of polyamide TENG material with improved performance. This can be achieved by producing the TENG materials with enhanced effective surface morphologies, as well as improved dielectric and capacitive properties. Furthermore, with respect to the BASF goals, this project would be beneficial both scientifically and economically to the partner organization.

Voir la description complète du projet
Superviseur du corps professoral :

Hani Naguib

Étudiant :

Partenaire :

BASF Canada

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Estimating Apple Crop Yield using Images

As a high-value crop, apples are intensively managed with much of this management being associated with yield estimates. Currently, estimates are done manually by experience farmers and by Scotian Gold experts. Unfortunately, this results in costly estimates that vary in their quality from farm to farm and between apple varieties. A system that can provide consistent and accurate estimates using low cost digital photography and cloud-based artificial intelligence can provide an opportunity to improve production and marketing for the industry. The objectives of this project are: (1) to develop a method of capturing images of an apple variety on the tree in the mid-August time frame; (2) to develop a computational vision and machine learning prototype for estimating the size and number of apples on a tree using the images captured; and (3) to use these estimates to predict the harvest yield (bushels per acres) adjusting for forecasted weather.

Voir la description complète du projet
Superviseur du corps professoral :

Daniel Silver

Étudiant :

Partenaire :

Scotian Gold Cooperative

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Acadia University

Programme :

Accelerate

Evaluation of the Neuro-Compensator Hearing Aid Relative to Wide-Dynamic RangeCompression Hearing Aids on the Restoration of Normal Auditory Perception

The purpose of the project is to compare how well the neuro-compensator (NC) hearing aid restores various aspects of auditory perception relative to a standard technology used in the industry, called wide-dynamic range compression (WDRC). Specifically, the intern will test individuals on their ability to comprehend speech, to make fine discriminations of musical sounds, and their ability to localize sounds, all while wearing these hearing aids. He will use the results to quantify the stregnths and weaknesses of the NC relative to the industry standard. The results of the double-blind study will be augmented with simulations of the NC for different accoustic inputs and hearing loss profiles. The company may then leverage the results and conclusions of the study either to make adjustments to the NC hearing aid with a solid scientific research base, or to use the results to better explain the NC technology to hearing aid practitioners.

Voir la description complète du projet
Superviseur du corps professoral :

Laurel Trainor

Étudiant :

Partenaire :

VitaSound Audio Inc

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

McMaster University

Programme :

Accelerate

Therapeutic Properties in Landscape Design

This research project aims to review, analyze and build upon the current body of knowledge concerning the therapeutic potential of landscape design. It will review the health outcomes of natural settings at healthcare facilities and examine the design processes behind these. Project partner Virginia Burt Designs is a leading practitioner in this aspect of the field of landscape architecture. By comparing the research with targeted case studies of VBD’s work, the final product of this research will provide tangible design guidelines, reinforcing and expanding on established principles, that will be of functional use to landscape design professionals.

Voir la description complète du projet
Superviseur du corps professoral :

Martin Holland

Étudiant :

Partenaire :

Virginia Burt Designs

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

University of Guelph

Programme :

Accelerate

IT Optimization and Strategic Planning Support Systems

The research will carried out in partnership with Tulkita Technologies. The company is
interested in the market viability for a web-based tool supporting IT strategic planning and
plan execution. To help establish the scope of needs that this tool should address, the
research will focus on three key issues: IT governance, IT strategic planning and IT change
management. Through comparing the academic literature with surveys of IT professionals,
the study will identify potential gaps between what IT professionals should be focusing on (as
present in the current body of knowledge on the subjects) and what is available in the form of
strategic planning support systems. This will allow the company to assess the viability of
bringing a new strategic planning support system to market, to help IT professionals increase
the strategic value created by their organizations

Voir la description complète du projet
Superviseur du corps professoral :

Ron Babin

Étudiant :

Partenaire :

Tulkita Technologies Inc

Discipline :

Business

Secteur :

Management of companies and enterprises

Université :

Toronto Metropolitan University

Programme :

Accelerate

Tuktu – Peer to Peer Elderly Caregiving platform

As the world gets smaller, the distance between families grows larger. An increasing number of people are living far away from their loved ones, either in another city or in a different country altogether. Many leave behind their parents and other elderly relatives, with the distance making it next to impossible to provide support for their aging loved ones. The COVID pandemic has exacerbated this problem further and left the senior community particularly vulnerable leading to situations where the elderly not only lack the social support structures normally provided by their kids, they also experience increased loneliness and uncertainty because of the physical distance from their loved ones. Additionally, children and loved ones with such barriers often experience stress and anxiety from not having adequate information on the condition of their loved ones. This project supports the creation of a supportive community and encourages advancement in non-formal senior care using a location-based mobile application (and web platform) that matches the elderly to part time (non-formal) care givers for errands and companionship. This project will fulfill both a need a need to improve access to of services to vulnerable populations and provide an opportunity for income for those facing economic hardship.

Voir la description complète du projet
Superviseur du corps professoral :

Milind Kandlikar

Étudiant :

Partenaire :

Tuktu.ca

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

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.