Projets novateurs réalisés

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

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

Des partitions codées créées à partir de musiques classiques

Ce projet vise à promouvoir les interprètes et les enregistrements de musiques classiques produits au Canada, par la création de partitions numériques codées. Le projet sera l’occasion de mettre en exergue des oeuvres musicales qui susciteront le développement musical des jeunes enfants en participant à une expérience ludique enrichissante par l’entremise de la technologie.

Voir la description complète du projet
Superviseur du corps professoral :

Jonathan Bolduc

Étudiant :

Partenaire :

Mazaam

Discipline :

Sociology

Secteur :

Information and cultural industries

Université :

Université Laval

Programme :

Accelerate

Conception et optimisation de bandes riveraines, de voies enherbées et de petits ouvrages de captage de l’eau et des sédiments au champ à l’aide de dispositifs expérimentaux et d’outils de modélisation hydrologique distribuée

Ce projet répond à une préoccupation majeure de toutes les communautés, notamment celles installées sur les bassins versants agricoles relativement à la qualité des eaux de surface accueillant des eaux de ruissellement en provenance des champs. Le niveau de pollution générée est préoccupant et des actions doivent être entreprises pour limiter l’accès des sédiments et des nutriments aux cours d’eau. C’est le rôle des bandes riveraines, des voies engazonnées et des petits ouvrages de captage qui seront mis en oeuvre sur l’ensemble du bassin versant du Castor à Pike River. À terme, ces ouvrages devraient permettre de filtrer entre 80 et 90% des particules de sols et des résidus de fertilisants se retrouvant dans les eaux agricoles. Ceci garantit ainsi une meilleure qualité de l’environnement aquatique et une sécurité accrue des usages de l’eau par les riverains.

Voir la description complète du projet
Superviseur du corps professoral :

Alain Rousseau

Étudiant :

Partenaire :

Regroupement des organismes de bassins versants du Québec

Discipline :

Earth science

Secteur :

Other services (except public administration); Public administration

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Accelerate

World Class Manufacturing Technology Transfer: Engineering Lytehorse for Production

Lytehorse has designed an electric, stand-up riding, all-terrain vehicle that is quiet and minimizes its ecological footprint. This sustainable and powerful mode of transportation has diverse applications attracting customers from military, recreational and other industrial fields. The team has already established a network to source parts, customize component manufacturing and is currently embarking on small scale production for assessing an optimal mode for assembly for scaled production operation to enter the market in 2022-23. This project examines several modes of assembly, plant layouts and various tools to achieve efficient and quality assembly to meet the customer demands. Attention to key performance index assessment, eliminating waste, and optimizing production includes developing jigs, workbenches, monitoring and auditing tools for continual improvement and adapting to the marketplace. The project benefits for Lytehorse is for effectively growing its business to meet market demand for a new Canadian industry that has international markets.

Voir la description complète du projet
Superviseur du corps professoral :

Denise S.D. Stilling

Étudiant :

Partenaire :

Lytehorse Labs Inc.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Regina

Programme :

Accelerate

Integrated Simulation and Optimization of Steam Chamber Growth and Propagation Dynamics during Hybrid Solvent-Enhanced SAGD Processes with Large-Scale Physical Experiments

A series of pressure-volume-temperature (PVT) tests and large-scale physical experiments of the hybrid solvent-enhanced SAGD process will be carried out and simulated to better understand the process physics and bitumen recovery mechanisms, which will help Imperial make reliable predictions with the upscaling potential for quickly commercial field applications. This project will be conducted both in Imperial and University of Regina, with the aim to provide a solid foundation for Imperial to design, simulate, and optimize the hybrid solvent-enhanced SAGD process, and finally make commercial profit.

Voir la description complète du projet
Superviseur du corps professoral :

Daoyong Tony Yang

Étudiant :

Partenaire :

Imperial Oil Resources Ltd

Discipline :

Engineering

Secteur :

Mining

Université :

University of Regina

Programme :

Accelerate

AI-based virtual assistant and fraud detection for the insurance industry

The insurance industry is a competitive sector that is expected to account for 3.1 percent of Canada’s
Gross Domestic Product in 2021. Leading insurers are investigating how machine learning (ML) may
enhance company operations and customer satisfaction as clients become more selective about
personalizing their insurance purchases to their particular needs. AI chatbots have the potential to
significantly improve consumer satisfaction. Their primary goal is to assist consumers by answering
questions. Chatbots may communicate with multiple users simultaneously and provide information
within seconds. As a result, they are now widely used to enable companies and customers to
communicate on websites and mobile messaging applications. In this project, we will develop an AIbased
chatbot that will provide assistant, support and chatting services to potential customers.
Furthermore, Fraud is one of the most significant and well-known issues confronting insurers. For
each insurer, fraudulent claims may be quite costly. As a result, it’s critical to understand which claims
are fraudulent and which are not. To determine which claims are likely to be fraudulent in this project,
we will use machine learning models. It would aid in the identification of suspicious claims for further
investigation.

Voir la description complète du projet
Superviseur du corps professoral :

Nashid Shahriar;Kin-Choong Yow

Étudiant :

Partenaire :

BlueCouch AI Inc.

Discipline :

Computer science

Secteur :

Finance and Insurance

Université :

University of Regina

Programme :

Accelerate

Development of passive sampling devices for natural and artificial radionuclides in the context of pre- and post-deployment of small nuclear reactors in remote areas

Small nuclear reactors (SMRs) are a major option for electricity production in remote areas. Environmental impact assessment and monitoring will be needed, however this might be difficult because of the remoteness and the anticipated low levels of radiocontaminants, especially that laboratories with modern instrumentation might not be available on-site. We are proposing (1) to adapt and replace our current classic methods with new and modern technology, for monitoring radioactivity at natural levels; (2) to develop and test small samplers that are easily deployable and rugged to withstand harsh cold conditions; and (3) to improve our detection limits and quality assurance, along with data security. At the outcome, this project will deliver a new rugged monitoring method to analyze for radiocontaminants, with modern instrumentation. The personnel will be trained with enhanced quality assurance credentials, who can be specialists for independent verification, at arm’s length from an SMR operator.

Voir la description complète du projet
Superviseur du corps professoral :

Graeme Spiers;François Caron

Étudiant :

Partenaire :

Testmark Laboratories Ltd

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

Laurentian University

Programme :

Accelerate

Suivi de la distribution du saumon atlantique (Salmo salar) dans la rivière Jacques-Cartier par l’ADN environnemental

En se déplaçant, les animaux, et autres organismes vivants, laissent des traces de leur matériel génétique dans l’environnement. Cette précieuse information est l’ADN environnemental (ADNe) et son analyse permet de détecter indirectement la présence d’une espèce et d’estimer son abondance relative dans un milieu. Ce matériel génétique peut se retrouver sous forme de cellules mortes de la peau, de poils, d’excréments, d’urine, de salive, etc. Un des avantages de l’analyse de l’ADNe est que la récupération de ce dernier ne cause pas de stress ou de dommages aux espèces ainsi qu’à leur habitat. Par exemple, une simple quantité d’eau prélevée d’un lac peut renseigner sur la présence d’espèces animales à risque, invasives, nuisibles et culturellement et économiquement importantes. La Corporation du Bassin de la Jacques-Cartier (CBJC) est d’ailleurs très intéressée par la distribution du saumon atlantique dans la rivière Jacques-Cartier. Le projet mis de l’avant permettra le développement d’outils moléculaires standardisés pour l’analyse de l’ADNe du saumon atlantique. En ayant accès à ces derniers, la CBJC pourra ainsi obtenir un portrait précis de la distribution du saumon atlantique dans la rivière Jacques-Cartier.

Voir la description complète du projet
Superviseur du corps professoral :

Valerie Langlois

Étudiant :

Partenaire :

Corporation du bassin de la Jacques-Cartier

Discipline :

Earth science

Secteur :

Water; Natural Resources; Environmental Science and Technology

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Accelerate

Methodes modernes en optimisation deterministe appliquee aux modeles parametriques utilises par Hydro-Quebec en prevision de la demande

Le projet vise a moderniser et ameliorer les outils numeriques utilises par Hydro-Quebec pour prevoir la demande
en electricite au Quebec et mettre en ceuvre des strategies d’autocorrection. Les developpements attendus permettront
d’augmenter la capacite de maintenance et d’amelioration de ces outils par Hydro-Quebec, et de les
rendre plus efficaces. Hydro-Quebec sera ainsi plus à meme de faire face aux changements dans la consommation
d’electricite au Quebec et à ses frontieres, dus aux changements climatiques, economiques, et d’habitudes
de vie. De plus, le projet permettra de contribuer aux methodes de calibration de modeles sous contraintes, de
plus en plus presents en optimisation.

Voir la description complète du projet
Superviseur du corps professoral :

Fabian Bastin

Étudiant :

Partenaire :

Hydro-Quebec

Discipline :

Engineering

Secteur :

Technology; Energy and Utilities; Green/Alternative Energy

Université :

Université de Montréal

Programme :

Accelerate

Developing a best practice model for mental health crisis care: A community engaged approach

When experiencing mental health crisis, many people rely on emergency services such as 9-1-1 dispatchers, paramedic services, police services and hospital emergency department services. Emergency response to mental health calls has recently gained significantly greater attention, recognizing that these interactions may have substantial, potentially life and death consequences for those already in distress, particularly for marginalized communities. Many first response services lack sufficient resources and have few options to offer when providing care. This project brings together community-based service providers and emergency care providers to develop a best practice model for response to mental health crisis care. Specifically, the student internship within this project will focus on analysis and synthesis of existing mental health program data from Middlesex-London Paramedic Service’s alternate destination program. These findings will support the ongoing work of the partner organization, contribute to manuscript preparation, and broadening the understanding of options for emergency mental health response in the larger Canadian community.

Voir la description complète du projet
Superviseur du corps professoral :

Polly Ford-Jones

Étudiant :

Partenaire :

Mental Health Research Canada;Middlesex-London Paramedic Service

Discipline :

Sociology

Secteur :

Other services (except public administration); Professional, scientific and technical services

Université :

Humber Institute of Technology and Advanced Learning

Programme :

Accelerate

Closed loop AI-controlled neural stimulation for treating chronic conditions

The overall objective of this project is to develop a medical device that stimulates the vagus nerve in order to modulate the heart in a pre-determined fashion (e.g., strategically speeding it up or slowing it down) without also triggering side effects in other body systems (such as respiration). The interns will be working in partnership with BIOS Health, the industry partner, to process raw signals from the vagus nerve and physiology data (heart rate, breathing rate, blood oxygen levels, blood pressure, others) that were recorded in parallel. The interns will be developing algorithms that can (a) differentiate cardiac signals in raw neural data from noise and other signals, and (b) optimize the stimulation patterns to affect cardiac function without also affecting breathing and other functions.

Voir la description complète du projet
Superviseur du corps professoral :

Guillaume Lajoie

Étudiant :

Partenaire :

BIOS Health

Discipline :

Mathematics

Secteur :

Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Achieving Community-Based Data Sovereignty

The intern will work with Kwusen Research & Media, a consulting company based in Victoria, B.C., to conduct an assessment of Kwusen’s research approaches and software. Kwusen works closely with Indigenous communities across western Canada to provide up-to-date and accurate information about their lands and resources, as well as any potential impacts to these resources as a foundation for free, prior, and informed consent. The intern will conduct informal interviews with Kwusen’s clients to elicit feedback on Kwusen’s research and software services. This project will provide Kwusen with an assessment of the efficacy of their work with Indigenous communities, as well as a better understanding of community needs. This project will also benefit the broader Canadian community by producing a publicly available peer-reviewed journal article that considers how these types of projects can support informed decision-making in the context of UNDRIP.

Voir la description complète du projet
Superviseur du corps professoral :

Susan Rowley

Étudiant :

Partenaire :

Kwusen Research and Media Ltd

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Archiving and Repository Development for Inuvialuit Traditional and Local Knowledge

Archives can be powerful tools for decision-making, and reconnecting with one’s heritage, community, and history. However, archives also have a long history of reinforcing harmful stereotypes of Indigenous peoples through the inappropriate and inaccurate labeling, classification, and arrangement of materials. Alternatively, community archives (i.e., archives controlled, developed, and managed by a community, instead of a government or large institution) provide opportunities for greater community control over their historical records and local knowledge, and can better adapt the unique needs of individual communities. This project seeks to contribute to the information organization capacity of the Joint Secretariat and the Inuvialuit Game Council (IGC) in Inuvik, NWT, by assisting with the digitization and organization of their traditional and local knowledge collection.

Voir la description complète du projet
Superviseur du corps professoral :

Gracen Brilmyer

Étudiant :

Partenaire :

Joint Secretariat Inuvialuit Settlement Region

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate