Projets novateurs réalisés

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

31 914 projets complétés

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5256
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878
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703
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913
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9488
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9949
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98
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629
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1215
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Projets par catégorie

Socially and physically based surf warning system to improve beach safety

Surf-related drowning fatalities represent a significant economic burden to the Province of Ontario but many public beaches in Ontario do not have lifeguard programs and there is also a lack of active monitoring of surf conditions to provide real-time warnings. Improving beach safety is complicated by the fact that rescues and drowning fatalities do not depend on the wave and current conditions alone, but also depend on the behavior of the beach user individually and as part of a group. The study uses a combination of wave and current measurement and modeling, beach user surveys and workshops to develop a dynamic surf hazard warning system for the Municipality of Kincardine in Bruce County, Ontario. Results of this research will lead to an adaptable and scalable approach to improved beach safety in the Great Lakes through real-time monitoring and direct and indirect changes in beach user activity.

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Superviseur du corps professoral :

Christopher Houser;Dana Menard

Étudiant :

Partenaire :

Bruce County

Discipline :

Earth science

Secteur :

Public administration

Université :

University of Windsor

Programme :

Accelerate

Implementing a Zinnia TV program for people with dementia in hospitals and long term care homes

This project work with stakeholders, residents, family members, and care staff, in an older adult hospital unit and a long-term care home to analyze use of smart TV catered for peoples with dementia (Zinnia TV). Zinnia TV is a TV program that TV program provides video experiences that offer joy and engagement for people with dementia (e.g., handwashing, eating, and holiday celebration). Research will be conducted over 2 years. We will include a diverse group with various sex and gender, age range, ethnic and racial backgrounds, etc. The sample will include
20 people with various types and stages of dementia, 20 family members, and 20 frontline interdisciplinary staff. This project intends to explore effects of assistive technologies and smart TV programs on mood, quality of life, and reduce responsive (aggressive) behaviours resulting from unmet needs in patients and residents with dementia The findings of this projectwill provide helpful insight into specific needs and preferences of LTC residents living with dementia. This project expands current knowledge about implementation science by adding a better understanding of userexperiences about technology adoption in complex care environments such as hospitals and long-term care.

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Superviseur du corps professoral :

Lillian Hung

Étudiant :

Partenaire :

Vancouver General Hospital;Zinnia Technologies LLC

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

The University of British Columbia

Programme :

Accelerate

Renewable Natural Gas Opportunities and Advancement

Anessa is developing software that assesses the feasibility of an anaerobic digestion facility at the earliest stages when trying to determine if a facility should be constructed. The challenge is that little information is fully known and there are a lot of factors that can affect the outcome to be positive or negative in the investment to construct and operate a facility. Some of these factors are based on the organic waste materials quantity and quality that are available, but some of it is also based on the legislative policies and incentives for clean energy. This research proposes 3 aspects that are vital to advance our research into this domain. First, to improve and refine our algorithms for predicting the quantity and quality of biogas that can be attained from waste via anaerobic digestion. Second, to complete market research into the various policies and incentives in place worldwide and the effects of these policies for anaerobic digestion uptake in constructing facilities. Third, to identify and implement a rigorous and automated quality assurance engineering practice on our software solution to ensure correctness.

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Superviseur du corps professoral :

David Bremner

Étudiant :

Partenaire :

Anessa

Discipline :

Computer science

Secteur :

Information and Communications Technology; Clean Technology

Université :

University of New Brunswick

Programme :

Accelerate

Development of a subject-centered social media – Phase 2

Developing subject-based social media requires proper interaction with the users by learning and analyzing their profile and dynamically incorporating their opinion. In this project, a crowd-based profiling of users with respect to their peers will be developed and confidence factor calculated based on the collective opinion of the crowd will be assigned to the individuals’ opinion. There is a prototype system already developed as a proof of idea. The intern will enhance the prototype by adding new functions and modules to it.

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Superviseur du corps professoral :

Behrouz Far

Étudiant :

Partenaire :

Crowd Act Inc

Discipline :

Computer science

Secteur :

Technology; Information and Communications Technology

Université :

University of Calgary

Programme :

Accelerate

Hydrogen Gas – Carbon Microsphere and Graphene Oxide Adsorption/Desorption Analysis for solid state hydrogen storage

Climate Change (CC) mitigation and reduction requires a strong effort to develop and put into use clean energy options that significantly reduce anthropogenic CO2 emissions. In Canada, the transportation sector accounts for 25% of all emissions. Hydrogen fueled vehicles is one option that has a great potential to reduce Canadian and global CO2 fuel emissions. This research project investigates methods to analyse required traits of storage materials, including surface area and pore volume, to develop methods and materials to increase hydrogen gas storage capacity to ensure the successful transition for decarbonization in the transportation sector.

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Superviseur du corps professoral :

Onita Basu

Étudiant :

Partenaire :

Hydrogen in Motion

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Carleton University

Programme :

Accelerate

Development of a clinical decision support system to augment multi-disciplinary tumor board decision-making

We propose to develop and evaluate a clinical decision support systems (CDSS) for the Princess Margaret Cancer Centre (PMCC) lung metastases multidisciplinary tumor board (MDT) to improve the consistency and quality of MDT decision-making. We will develop and train a machine learning-based (ML) classifier, using historical decisions data from lung cancer MDTs to model the decision-making process. Clinical parameters and lesion characteristics parameterized from CT imaging will be used as inputs to the ML-based classifier. The ML classifier will be one of several components in the CDSS Application, called Janus, including auto-segmentation of normal anatomy and lesions and contour parametrization tools. The proposed CDSS application will impact health care delivery at the partner institution in several ways including 1) improving lung metastases MDT efficiency, 2) providing quality assurance to ensure consistent, evidence-based decision making and 3) enable knowledge sharing by deploying the CDSS in other partner-institutions without similar MDTs.

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Superviseur du corps professoral :

Dionne Aleman

Étudiant :

Partenaire :

Princess Margaret Cancer Centre

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology

Université :

University of Toronto

Programme :

Accelerate

Moose (Alces alces) winter habitat selection in the Northeast Superior region: comparing ways of knowing and seeking joint solutions using improved forest data

The goal of this research project is to identify where Indigenous Knowledge differs from how the province of Ontario understands and manages winter moose habitat, in order to better protect moose populations in the Northeast Superior region. Additionally, new and improved forest inventory data in the region will be investigated as a potential tool to help close the gaps identified through interviews and community engagement. This project will be carried out with the support of Wahkohtowin Development and aims to provide this organization with new information to better assist their owner First Nations in conversations about moose with forestry companies and the province

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Superviseur du corps professoral :

Jesse Popp

Étudiant :

Partenaire :

Wahkohtowin Development General Partner Inc.

Discipline :

Life Sciences

Secteur :

Agriculture; Professional, scientific and technical services

Université :

University of Guelph

Programme :

Accelerate

Development, Design, and Implementation of Low Carbon Concrete Structures

The production of cement contributes to 8% of global CO2 emissions resulting in a pressing need to develop strategies for reducing the use of cement. This research project focuses on reducing cement use by improving structural efficiency. In order to fully understand the behaviour of these efficient structural elements and ensure that they will provide safe and durable structures, advanced testing techniques (e.g. hybrid simulation) and sensor technologies (e.g. distributed fibre optic strain sensing) will be employed. Advanced approaches to the design of these low cement structural elements will also be developed. To create awareness and promote industry acceptance, the full project team (partners and researchers) will work together to design, construct, and test a demonstration structure. A critical element of this research are the internships with partner Arup where advances in design will be transferred to industry. All 5 students involved in this research will participate in these internships.

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Superviseur du corps professoral :

Neil Hoult;Evan Bentz;Joshua Woods

Étudiant :

Partenaire :

ARUP

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Queen's University

Programme :

Accelerate

Multi-hazard Risk & Resilience Assessment for Real Asset Decision-Support

High-resolution natural risk analysis of client-specific asset portfolios that supports science-based decision making for asset modernization, upgrade and acquisition & disposal is a crucial part of asset management in the face of major natural hazards and climate change. The interns will work to combine existing insurance catastrophe models and advanced engineering analysis of earthquake, extreme wind and flood to expand an existing portfolio risk simulation tool, which enables asset-specific risk assessment and integrated portfolio network analysis, to perform fast high-resolution multi-hazard analysis that provides comprehensive decision-support for stakeholders. This project will enable Kinetica Risk to expand into a large and un-accessed market that addresses one of the key issues for portfolio managers, and at the same time advance the state-of-practice in real asset management.

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Superviseur du corps professoral :

Brent Sleep;Constantin Christopoulos;Girma Bitsuamlak

Étudiant :

Partenaire :

Kinetica Risk

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Monitoring the Frost Heave of Screw Pile in glacial deposits of Alberta: a case study in the field

In Canada, screw piles are widely used in supporting residential and commercial buildings. While the design of screw piles are general well-known to engineers, the uplift displacement of screw piles during the winter season is still mysterious, especially in cases where screw piles are installed in frost-susceptible soils. The present project is intended to conduct a field test of screw piles in the clay of Alberta and therefore to provide a case study for the engineering performance of screw piles in cold regions. The project will provide an empirical correlation between frost uplift of piles and the control conditions of soils. The outcome of the project will safeguard the general public from building damage caused by the cold temperature.

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Superviseur du corps professoral :

Lijun Deng

Étudiant :

Partenaire :

Greentown Homes

Discipline :

Engineering

Secteur :

Construction and infrastructure; Real estate and rental and leasing

Université :

University of Alberta

Programme :

Accelerate

Smarter Collaborative Software to Support Energy Operations Centers

For so many years, industries that are heavily reliant on geospatial data have been working with paper maps unfolded on tables. Some of these companies are still using paper maps to analyze huge amounts of data despite the current availability of geographic information system (GSI) for storing and managing geospatial data. Data management tasks using these traditional methods are asynchronous and very tedious. Delays in updating these maps can pose a safety risk for field workers who may bew guided based on outdated information. GIS applications are used for capturing, storing, managing, analyzing and dispaying geograpgically referenced information. GIS applications are used for capturing, storing managing, amalyzing and displaying geographically referenced information. Some electrical utilities have their own GIS data which includes details of their circuits, power-lines, and other company details. GIS applications are typicall used to create interactive queries, anlayize spatial information, edit data and present the results of these operations. Some control ocenter teams in electricity companies, however, still prefer to use printed paper maps on tables to discuss and analyze snapshots of the data. Most GIS applications are focused on upporting a single iser and since these teas typically work collaboratively, they prefer using printed maps.

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Superviseur du corps professoral :

Frank Maurer

Étudiant :

Partenaire :

C4i Consultants Inc;University of Calgary

Discipline :

Computer science

Secteur :

Education

Université :

University of Calgary

Programme :

Elevate

Faciliter l’intégration sociale des familles immigrantes : quels sont les besoins de formation des organismes d’action communautaire autonome?

L’Institut national de formation et de recherche-action (Infra) est un organisme à but non lucratif dont une partie de sa mission est d’offrir des formations destinées aux OBNL. Dans le but de développer un nouveau créneau de formation et de répondre aux besoins des collectivités, l’Infra souhaite élaborer et évaluer une formation portant sur l’intégration sociale des familles immigrantes, basée sur des pratiques prometteuses développées par des organismes d’action communautaires autonome. Le travail de l’étudiante boursière a pour but de connaître les besoins de formation d’organismes communautaires, afin de circonscrire les contenus à développer. Pour ce faire, l’étudiante boursière aura la responsabilité de créer et de tester un questionnaire en ligne, de faire l’envoi du questionnaire, d’assurer le suivi, d’analyser les résultats et de présenter par écrit et oralement les résultats de l’étude de besoin aux membres du conseil d’administration de l’Infra.

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Superviseur du corps professoral :

Julie Noël

Étudiant :

Partenaire :

Institut national de formation et de recherche-action

Discipline :

Sociology

Secteur :

Education

Université :

Université de Sherbrooke

Programme :

Accelerate