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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95
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568
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Projets par catégorie

AI Enabled Subnetwork Selection

Cancers are heterogeneous disease that hijack many of the body’s normal biological processes. Additionally, tens of thousands of genes are involved in each person’s normal biology, while only a fraction of those are repurposed by cancers to drive disease. At an individual level, utilizing entire transcriptomes is rare, as there is too much information for clinicians to process. However, not using this resource can mean important genes and processes are missed. Identifying the set of genes that drive a patient’s cancer would improve therapy design, patient quality of life and outcomes. This project utilizes AI-technologies to identify subnetworks of genes that characterize patient cancers.

Voir la description complète du projet
Superviseur du corps professoral :

Linglong Kong;Jack Tuszynski

Étudiant :

Partenaire :

CSTS Health Care

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

Quantifying genetic variation in needle retention and timing of bud flush in Balsam Fir Christmas Trees for improved performance under climate change in the northeast

Sixty phenotypically superior balsam fir trees (twenty each from Quebec, New Brunswick and Nova Scotia) will be tested for needle keepability at each of two locations and at two collection periods in both 2020 and 2021. The same trees will be monitored for timing of bud flush and the correlation between the time of bud flush and needle retention obtained. The effect(s) of rootstock and tree age on timing of bud flush and needle keepability will also be determined for trees in a clonal orchard in New Brunswick.

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Superviseur du corps professoral :

Charles Bourque;Ron Smith

Étudiant :

Partenaire :

Christmas Trees Atlantic Association

Discipline :

Earth science

Secteur :

Agriculture

Université :

University of New Brunswick

Programme :

Accelerate

Synthèse d’électrolytes solides pour les batteries au lithium

L’organisme partenaire, Blue Solutions Canada, est notamment spécialisé dans la fabrication des batteries LMP® (Lithium Métal Polymère) utilisées dans des applications mobiles (véhicules tout électriques) et stationnaires. Les batteries LMP® contiennent un électrolyte solide polymérique (EP), dont la température optimale de fonctionnement est supérieure à la température ambiante. L’objectif du projet vise à développer et à synthétiser des électrolytes solides inorganiques (ESI) par un procédé novateur à l’Université de Sherbrooke. Ces ESI ont une stabilité thermique et électrochimique supérieure aux électrolytes polymères, et certains promettent aussi une conductivité ionique supérieure aux EP à température ambiante. L’un des sous-objectifs est de synthétiser des ESI en quantité suffisante pour faire des essais de formulation chez le partenaire. À terme, il en résultera des électrolytes solides aux propriétés améliorées qui se traduiront par de meilleures performances des batteries fabriquées par Blue Solutions Canada.

Voir la description complète du projet
Superviseur du corps professoral :

Jocelyn Veilleux

Étudiant :

Partenaire :

Blue Solutions Canada

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Université de Sherbrooke

Programme :

Accelerate

The ParticipACTION App: Disability Content Development and Knowledge Translation

The objective of the proposed internship is to help support the launch of disability inclusive content for an app created by ParticipACTION, Canada’s leading non-profit physical activity organization. The goal of the content is to motivate inactive Canadians with a disability to sit less and move more, with the aim of achieving Canada’s Physical Activity Guidelines. This will entail performing literature reviews to build a knowledge base on best practices for app design and PA content that is disability inclusive, and identifying appropriate strategies to deliver PA information to disability end-users through surveys and interviews. The organization will benefit from the intern’s presence as he will develop evidence-informed content for the app that is disability inclusive and will enhance innovative solutions to support ParticipACTION’s goal to help all Canadians sit less and move more.

Voir la description complète du projet
Superviseur du corps professoral :

Amy Latimer-Cheung

Étudiant :

Partenaire :

ParticipACTION

Discipline :

Physics

Secteur :

Arts, entertainment and recreation; Other services (except public administration)

Université :

Queen's University

Programme :

Accelerate

Developing advanced techniques for denoising Low-dose CT Images

Computed Tomography (CT) is one of the most widespread non-invasive imaging modalities in medical diagnostics. Recent concerns regarding radiation induced cancer, has drawn a lot of attention to reduce the radiation dose used during CT scanning. However, the signal to noise ratio of scans taken at lower radiation dose is considerably lower than at higher dosages, resulting in poorer diagnostic accuracy. Hence post processing of low-dose scans has become a major concern in medical image processing. In this project two denoising approaches based on sparse representations will be proposed to address the problem of Low-dose CT image denoising. In the first approach, we will use an enhanced version of analytical Discrete Cosine Transform dictionary which leads to more efficient representation of input images. Furthermore, to speed up the process of finding the sparsest representation of an image, a new efficient sparse coding method will be introduced.

Voir la description complète du projet
Superviseur du corps professoral :

Javad Alirezaie

Étudiant :

Partenaire :

Dr. Paul Babyn Professional Medical Corporation

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Toronto Metropolitan University

Programme :

Accelerate

Automated Driver Drowsiness Control Technology Using Artificial Intelligence-based Decision Support System

The main purpose of this project is to develop the methodology to detect and predict driver drowsiness at the early stages using physical and physiological variables. A feasibility test is conducted to evaluate the accuracy and performance of the proposed methodology. The existing databases are leveraged to extract the required data. Signal processing, image processing, AI techniques and decision-making methods are utilized to analyze data for monitoring, detecting, predicting and controlling driver drowsiness. Finally, the ethics application is prepared and submitted to be applied for data collection in the future research experiments.
The other goal of this project is to perform the market research by collaborating with the L2M team. Approximately, 100 potential customers are interviewed to explore the customer pains and the probable solutions for addressing the existing problem concerning driver drowsiness. The collected interview data will then be analyzed to validate the defined hypothesis that leads to making decision whether the process of product development and deployment continued or not.

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Superviseur du corps professoral :

Mohammad Abdoli;Birsen Donmez

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Engineering

Secteur :

Transportation (excluding aerospace)

Université :

Toronto Metropolitan University

Programme :

Accelerate

The role of wearable technology in a community-based program for language development and the impact of virtual program delivery.

The proposed research project is the virtual delivery of an existing program provided by the partner organization, Calgary Reads. LENA Start is a group program offered to parents of children aged 6 months to 3 years. The goal of the program is the provide parents with information regarding language development in the home and practical strategies to both increase parent language and conversational turns between the caregiver and child as well as increase parent knowledge and child language outcomes. Along with weekly sessions, parents complete a day-long recording of their child’s language environment using LENA devices. With this information, parents receive practical feedback about their child’s specific language environment. Due to the COVID-19 pandemic, group programs are not feasible and therefore the goal of this research project is to deliver the program via a virtual delivery, i.e., Zoom, and compare it to previously delivered programs in person to determine the costs/benefits of a virtual group program.

Voir la description complète du projet
Superviseur du corps professoral :

Penny Pexman

Étudiant :

Partenaire :

Calgary Reads

Discipline :

Sociology

Secteur :

Education

Université :

University of Calgary

Programme :

Accelerate

Experimental and Analytical Study on Sustainable Sandwich Structures made from Recycled Plastic Core and PET FRP facing

The project seeks to discover the optimum design and commercialization strategy for newly developed sandwich structures derived from recycled plastic for the civil engineering sector. The sandwich structures are highly sustainable and could potentially consume large amounts of the rapidly produced plastic waste. The final sandwich product would have the potential to be used in various applications such as roof panels and exterior/interior walls of buildings. The project’s objectives will be met through experimental testing, analytical modelling, as well as participation in various business-development workshops and engagement with experts in the field.

Voir la description complète du projet
Superviseur du corps professoral :

Pedram Sadeghian

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Engineering

Secteur :

Construction; Manufacturing and Construction; Sustainability & the Environment

Université :

Dalhousie University

Programme :

Accelerate

POD of advanced ultrasonic inspection methods applied to the welded joints of hydraulic turbine runners

Hydro-Québec, as a major power generation company, uses models to estimate the service life of turbine runners so as to avoid unpredicted halts of power generation equipment. For these models, the location, the orientation and the size of welded joint flaws are some of the most influential inputs. Since ultrasonic testing (UT) methods have been found effective for the characterization of these flaws, it is important to quantitatively assess the reliability of these methods through probability of detection (POD) studies. However, experimental POD campaigns are excessively time and money consuming rapidly making them unaffordable and impractical. On the other hand, recent advances in our capabilities to accurately simulate non destructive testing (NDT) processes, enabled a new tool called MAPOD for “Model Assisted Probability of Detection”. This project aims at providing Hydro-Québec with a clear understanding on the performance of advanced ultrasonic inspection methods in the detection of harmful flaws that could impact the service life of their turbine runners.

Voir la description complète du projet
Superviseur du corps professoral :

Martin Viens

Étudiant :

Partenaire :

Institut de Recherche Hydro-Québec

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Utilities

Université :

École de technologie supérieure

Programme :

Accelerate

Development of alternative technologies to assess muscle functionality

Skeletal muscle is a dynamic tissue that undergoes many regeneration processes during our lifetime. Loss of skeletal muscle is known as muscle atrophy or sarcopenia and is directly related with quality of life and life expectancy. There are very few diagnostic tools to identify muscle atrophy and the ones available are time-consuming and expensive. Therefore, the most used diagnostic measure for accessing muscle atrophy and recovery is physical examination for patients with a certain mobility status. In the case of bedridden patients, the methods for identify muscle atrophy are invasive and expensive, such as MRI or muscle biopsy. In consequence of this, muscle loss evaluations of bedridden patients are rarely performed. Therefore, the development of an early detection, non-invasive diagnostic tool will benefit patient recovery and improve preventive measures. Consequently, this project will promote research and development besides creating innovative technologies that can be used for the benefit of our community.

Voir la description complète du projet
Superviseur du corps professoral :

James Fawcett

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

Dalhousie University

Programme :

Accelerate

Sustainable Development of Late-Life post-SAGD Reservoirs for Energy Recovery

What is left after late-life SAGD production is a large amount of valuable energy in the form of heat contained in the reservoirs. Instead of leaving behind the stored energy in a hot reservoir after many years of SAGD operation, considering energy recovery from post-SAGD reservoirs leads to lower carbon emissions by saving energy already injected in the reservoir rather than leaving it to avoid burning more natural gas; saving money for SAGD operators and helping to make operations more sustainable. The new life of extracting energy from post-SAGD reservoirs will extend the in-situ energy production profile improving the overall energy efficiency of SAGD life cycle supporting long-term sustainable energy development of in-situ SAGD operations.

Voir la description complète du projet
Superviseur du corps professoral :

Ian D Gates

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Engineering

Secteur :

Oil and Gas; Green/Alternative Energy; Sustainability & the Environment

Université :

University of Calgary

Programme :

Accelerate

Effects of human and natural habitat factors on wolverine density and connectivity

In southern Canada, wolverines share their natural habitat with humans. Forestry, for example, alters local ecosystems and leaves behind road networks that give access to people, also including recreationalists. Finally, many valley bottoms contain human infrastructure. This research project examines if wolverine numbers are impacted more by human or natural factors, determines if population connectivity is interrupted by human infrastructure and asks if those patterns are different for reproductive females. Understanding the relationship between wolverines and human land uses will help wildlife managers and stakeholders make informed decisions to maintain sustainable populations of this species at risk, as well as other sensitive species with similar needs. The project partner, Yellowstone to Yukon Conservation Initiative (Y2Y), is dedicated to balancing the needs of people and wildlife. Y2Y often works with universities to provide science-based conservation recommendations, for example the manageable factors impacting wolverines that this project will determine.

Voir la description complète du projet
Superviseur du corps professoral :

Marco Musiani

Étudiant :

Partenaire :

Yellowstone to Yukon Conservation Initiative

Discipline :

Life Sciences

Secteur :

Other services (except public administration)

Université :

University of Calgary

Programme :

Accelerate

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