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
ON
9858
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98
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619
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1192
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Projets par catégorie

Surgical Simulator Design and Evaluation Using Game EngineTechnology

Surgical training is increasingly being done using simulator technology in order to teach basic
skills to residents without risking patients’ lives. However, neurosurgery lags behind other
surgical specialties in the adoption of simulators. Since there are no commercial simulators
in this domain, the National Research Council has embarked on a neurosurgery simulator
development program, in collaboration with Canadian neurosurgeons. We are planning to
work in collaboration with this project in order to design surgical scenarios as part of a
curriculum for the simulator; making use of Game Engine development tools as part of the
prototyping for the system development. Our project will also focus on the evaluation of the
simulated scenarios, making use of perceptual and educational evaluation methodologies.
The outcome of our research will benefit both partner organizations: (1) LHSC, by developing
training modules and a curriculum that neurosurgery residents can use to rehearse and refine
surgical skills; and (2) Digital Extremes, by exploring this avenue as a new market

Voir la description complète du projet
Superviseur du corps professoral :

Roy Eagleson

Étudiant :

Partenaire :

London Health Sciences Centre;Digital Extremes;National Research Council of Canada (Ottawa, ON)

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology

Université :

Western University

Programme :

Accelerate

Ordonnancement et pilotage intelligents d’une cellule robotisée de soudage4.0

Bombardier Transport a développé, en collaboration avec différents partenaires, une cellule de soudage robotisée. Ce projet vise à systématiser et à automatiser la prise de décision pour le pilotage efficient de cet équipement. À terme, le projet permettra de maximiser le potentiel de la cellule et d’équipements comparables dans une perspective intégrée et agile propre à l’ère de l’Industrie 4.0. Les contributions envisagées sont en trois volets. Tout d’abord, nous visons l’étude détaillée de l’environnement dans lequel s’opère l’équipement. Ensuite, nous visons le développement d’un sous-système de contrôle intelligent qui permettra l’exploitation efficace de celui-ci pour remplir les commandes et pour s’ajuster aux imprévus au niveau des commandes. Finalement, nous proposerons un second sous-système qui vise la prévision de bris et la planification de maintenances préventives dans le but de minimiser les temps d’arrêt.

Voir la description complète du projet
Superviseur du corps professoral :

Monia Rekik;Michael Morin;Nadia Lehoux;Claude-Guy Quimper;Michael Morin;Jonathan Gaudreault

Étudiant :

Partenaire :

Bombardier Transportation Canada Inc;Fondation J. Armand Bombardier

Discipline :

Computer science

Secteur :

Manufacturing; Transportation and warehousing

Université :

Université Laval

Programme :

Accelerate

Smart Over-the-Road Loading Matching Suggestions

Freight service is an integral part of any business that supplies or sells physical goods. Even though its importance is often hidden from consumers, the sight of trucks and cargo vans on city streets and highways can make one appreciate the extent to which freight service impacts our lives. In North America, many carriers (i.e. companies that own trucks, vans, etc.) care medium or small sized, consisting of a handful to no more than a hundred trucks in their fleet. The emergence of digital freight matching platforms helps improve the efficiencies of freight at a global level by matching smaller carriers to provide freight service across a broad network that they would otherwise have no access to. The success of a such platform requires making sound recommendations in near real-time fashion. The proposed research, in partnership with FreightPath, seeks to investigate methods for better pricing schemes and resource minimization using statistical and optimization techniques.

Voir la description complète du projet
Superviseur du corps professoral :

Kevin Cheung;Yiqiang Zhao

Étudiant :

Partenaire :

FreightPath

Discipline :

Mathematics

Secteur :

Transportation and warehousing

Université :

Carleton University

Programme :

Accelerate

COVID19 viral genome sequence analysis to track viral transmission, to understand evolution of viral genome, to develop novel diagnostic tools as well as to identify novel therapeutic targets

A comprehensive genomic study for the virus SAR-Cov-2 itself and COVID-19 patient samples will be studies analyzed to understand the nature of the virus developments, and to find genomic biomarkers that helps in diagnosing and the treatment of the disease. We will try to understand the molecular network of the virus in the body and investigate the role of the coexisting agents as well in the patient samples. The bioinformatics tools and wet-lab experiments will help us to create a pipeline to react to any similar future epidemic/pandemic. And will help the local community in Windsor, ON and in the Canada to investigate more of the nature of the pandemic itself.

Voir la description complète du projet
Superviseur du corps professoral :

Luis Rueda

Étudiant :

Partenaire :

ITOS Oncology

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Windsor

Programme :

Accelerate

Development of a salmon diet using alternative protein and lipids suitable for land-based recirculation farming systems

Aquaculture feed has historically relied on fish-based protein sources to satisfy nutritional requirements for optimal growth. While plant-based proteins are increasing throughout the aquaculture industry, the need for fish protein is still present to ensure the “natural fish” taste that consumers want. Black Soldier Fly Larvae (BSFL) have been proposed as a solution to this problem as they contain the same compounds responsible for the desired taste. This project looks to determine the effectiveness of protein from BSFL and a proprietary lab-grown marine agent within Atlantic salmon feed. This will be performed over three feed trials, the first of which will be 14-weeks and undertaken during this Mitacs internship. This project will also be testing the ability of the BSFL and marine agent components in providing more solidified fecal matter for improved water quality in land-based aquaculture facilities which recirculate their water.

Voir la description complète du projet
Superviseur du corps professoral :

Stefanie Colombo

Étudiant :

Partenaire :

Oberland Agriscience

Discipline :

Life Sciences

Secteur :

Agriculture; Manufacturing; Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Accelerate

Radiation Mapping from Aerial Data

The proposed project is focused on the development of software for accurate mapping of radiation levels on the ground using aircraft or unmanned aerial vehicles (UAV) for data collection. The problem of accurate radiation mapping is crucial for handling emergency radiological incidents (e.g., on nuclear plants), monitoring national borders, operating nuclear mine sites, etc. The goal of this project is to develop a new algorithm that improves on existing methods for airborne radiation mapping with more sophisticated models and to implement the new algorithm in a software package able to build contour maps of radiation levels, possibly identify radioactive elements, and prepare the output data for use in augmented reality systems. This developed algorithm and software developed during this project will be used by the partner organization, Environmental Instruments Canada, in their UAV sensor package in order to enhance its capabilities and make it a more compelling product.

Voir la description complète du projet
Superviseur du corps professoral :

Raymond Spiteri;Andrei Smolyakov

Étudiant :

Partenaire :

Environmental Instruments Canada Inc

Discipline :

Computer science

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Saskatchewan

Programme :

Accelerate

Validation of blood-brain barrier imaging as a biomarker for neuropsychiatric symptoms

When blood-vessels in the brain are damaged, substances can leak from the blood into the brain. Such leakage can affect cognition and mental health, however there are currently no clinically-available tests for detecting such leakage. In this project we are developing a method for diagnosing blood-vessel leakage using MRI. We believe that this technology may help explain why patients diagnosed with the same disease often have very different severities of outcome. We focus on two such diseases in order to understand: (1) why some patients with bipolar disorder experience much more severe depression, anxiety and disability; and (2) why some patients with lupus suffer from debilitating cognitive impairment. We believe that patients who have blood-vessel leakage in the brain are more likely to have worse disease outcomes than similar patients with intact blood-vessels. Emagix aims to ultimately translate the developed methodology into clinical use, allowing doctors to predict disease symptoms/outcomes and assess the efficacy of treatments.

Voir la description complète du projet
Superviseur du corps professoral :

Steven Beyea;Chris Bowen

Étudiant :

Partenaire :

EMAGIX Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Accelerate

Examining backcountry recreationists’ understanding and use of the avalanche danger scale: insights from qualitative interviews and responses to an online survey

Danger scales use a combination of colours, words, and severity levels to efficiently communicate basic hazard information to a target audience. Avalanche warning services around the world use a colour-coded, five-level danger scale to communicate the severity of snow avalanche conditions to recreational backcountry users. While past research has primarily focused on helping forecasters produce accurate danger levels, there has been relatively little research on recreationists’ comprehension and use of danger ratings. This research proposes an analysis of existing interview and survey data to identify themes and patterns in recreationists’ perceptions of the avalanche danger scale. The identified strengths and weaknesses of the current communication strategy will offer evidence-based recommendations to improve communication of the danger scale. Given the widespread use of danger scales in other settings of our daily lives, our results will also be of interest to the broader risk communication community.

Voir la description complète du projet
Superviseur du corps professoral :

Pascal Haegeli

Étudiant :

Partenaire :

Avalanche Canada

Discipline :

Sociology

Secteur :

Arts, entertainment and recreation

Université :

Simon Fraser University

Programme :

Accelerate

Reinforcement learning for eco-efficient comminution circuit characterization

Comminution, the process of crushing and grinding rock to a reduced size as part of the process of liberating valuable minerals, has been reported to be responsible for up to 4% of the world energy consumption [Environment and Climate Change Canada, 2017]. Designing for reduced carbon footprint and energy consumption is possible. Several study cases have reported significant energy savings with innovative circuits. The goal of this project is to develop an AI-based system to support the design of mineral processing circuits by learning to efficiently characterize a circuit. More specifically, given an existing circuit and a given ore, our goal is to learn the optimal sequence of tests in order to characterize the circuit as quickly as possible, while minimizing the cost. This project is part of a greater initiative (IntelliCrush, for the Crush It! Challenge ) in which we want to learn to ask the right questions and perform the right tests throughout the steps of designing a mineral process.

Voir la description complète du projet
Superviseur du corps professoral :

Audrey Durand;Jocelyn Bouchard

Étudiant :

Partenaire :

COREM

Discipline :

Computer science

Secteur :

Mining

Université :

Université Laval

Programme :

Accelerate

Validating a new lateral flow assay for COVID-19

The rapid spread of COVID-19, associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is of tremendous global concern. There is an urgent need to expand the current diagnosis capacity and to develop effective home-usable tests, and simple ones that can be used at the primary point-of-care. Ideally, the test will be simple enough that it could be performed by untrained personnel, yet also optimized to eliminate potential misuse and inaccurate measurements. An ideal test of this form would eliminate the current bottlenecks of personnel time, and the prof swabs or saliva or sputum, heat or chemical extraction, extraction kit shortages, and specialized machine with required bandwidth that is high and uncontrolled spread of the COVID-19. Lateral Flow Immunoassays (LFA), simple testing strips that employ a comprehensive collection of antibodies for SARS-CoV-2, might provide the needed functionality. However, proper validation is essential for reliability, as we can see with the failure rates of so many tests rushed to market. The team will determine the reproducibility of obtaining positive, and negative, results by LFA.

Voir la description complète du projet
Superviseur du corps professoral :

John Trant

Étudiant :

Partenaire :

Audacia Bioscience

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Windsor

Programme :

Accelerate

Supporting Non-Profits through COVID-19: Online Social Innovation Labs

United Way will be adapting their resources around the creation of a Social Innovation Lab to provide support to organisations impacted by COVID19, specifically be increasing their capacity to deal with new COVID-related challenges. The research will provide evidence and direction for the creation an online collaborative platform that allows community service agencies to access expertise, support and training through a dedicated online portal. The SIL COVID-19 will provide community services agencies directly affected by COVID-19 with increased capacity to transform their programs and products.

Voir la description complète du projet
Superviseur du corps professoral :

Sandra Lapointe;Brent McKnight

Étudiant :

Partenaire :

United Way Halton and Hamilton

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology; Other services (except public administration)

Université :

McMaster University

Programme :

Accelerate

Development and evaluation of the OptiSolve Pathfinder optical assay for viral particle detection on surfaces in environmental monitoring

OptiSolve Pathfinder is a diagnostic tool that allows the easy identification of contamination on surfaces through imaging. Although viral and bacterial organisms are always a threat, during the current COVID-19 pandemic, the ability to easily identify and quantify viruses is of primary importance. The Pathfinder solution developed by OptiSolve will significantly improve quality of care, health, and safety of the global population through the detection of contaminated surfaces. In order to allow this technology to be more easily accessible and widely used by the general public, a system with real-time feedback will be optimized and tested during this project.

Voir la description complète du projet
Superviseur du corps professoral :

Shana Kelley

Étudiant :

Partenaire :

OptiSolve

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

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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.