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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Projets par catégorie

Long-Term Precipitation Forecasting Using Machine Learning

We will investigate the skill of using several machine learning techniques to produce long-term (years to decades) forecasts for precipitation. The partner organization provides weather forecasts to a variety of industries and would benefit from more accurate long-term forecasts.

Voir la description complète du projet
Superviseur du corps professoral :

Andrew Binns

Étudiant :

Partenaire :

Erode AI

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Guelph

Programme :

Accelerate

Study on non-mercury catalysts for the clean production of vinylchloride monomers

Polyvinyl chloride (PVC) is the third most used plastic, and China is ranked first worldwide in its production. Like all polymers, this plastic is made from a reaction that binds monomers together into a chain called polymerization. Like the name suggests, the monomer for polyvinyl chloride is vinyl chloride. The main method of vinyl chloride production in China involves a catalyst that contains mercury. Although a catalyst is necessary for the reaction to be cost effective, this mercury catalyst is very toxic and it sublimes easily causing serious environment pollution problems. This study hopes to look into alternative catalysts that do not contain mercury, but will keep the production of vinyl chloride cost effective. The types of alternative catalysts being considered are those such as heterogeneous and homogeneous non-mercury catalysts.

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Superviseur du corps professoral :

Jesse Zhu

Étudiant :

Partenaire :

Zhejiang University of Technology

Discipline :

Engineering

Secteur :

Education

Université :

Western University

Programme :

Globalink Research Award

Exploring Enzymatic Strategies for the Degradation of Biphenyl and Diphenyl Ether: Unraveling Nature’s Molecular Secrets

In our research project, we aim to address environmental contamination caused by biphenyl and biphenyl ether, common pollutants from industrial activities. These chemicals, found in products like building materials and thermal energy transfer fluids, pose risks to both ecosystems and human health. Conventional cleanup methods often fall short, requiring a more sustainable approach. Our solution involves utilizing Enzyme Booster Technology for bioremediation, developing an enzyme cocktail to break down these contaminants. This environmentally friendly method aims to optimize enzyme concentrations for effective soil and groundwater cleanup, providing a safer and cost-efficient alternative to traditional remediation methods. The research not only contributes to cleaner environments but also offers a practical solution with potential benefits for industries dealing with such contaminants.

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Superviseur du corps professoral :

Satinder Brar

Étudiant :

Partenaire :

Dow Canada

Discipline :

Engineering

Secteur :

Manufacturing

Université :

York University

Programme :

Accelerate

Évaluation de l’efficacité des puits du champ captant en filtration sur berge : cas de la Ville de Sainte-Marthe-sur-le-Lac

Les ressources en eau souterraines globales font face à des pressions grandissantes sous l’effet combiné des changements climatiques, de l’évolution d’utilisation des sols et de la croissance démographique. Face à cette situation, la filtration sur berge émerge comme solution résiliente pour l’approvisionnement en eau. Cette technologie innovante consiste à implanter des puits de pompage de l’eau souterraine à proximité d’un plan d’eau de surface (rivière, lac, réservoir) afin de bénéficier d’une recharge augmentée et de la capacité naturelle de traitement des sols. Bien que prometteuse, la mise en oeuvre de la filtration sur berge comporte plusieurs défis techniques, comme le colmatage des puits. Ce processus peut mener à une diminution graduelle de l’efficacité des puits et entraîner des coûts d’opération et d’entretien significatifs. Le présent projet vise à développer un outil de diagnostic de l’efficacité des puits d’un champ captant en situation de filtration sur berge.

Voir la description complète du projet
Superviseur du corps professoral :

Janie Masse-Dufresne;Benoit Barbeau

Étudiant :

Partenaire :

Ville de Sainte-Marthe-sur-le-Lac

Discipline :

Engineering

Secteur :

Public administration

Université :

École de technologie supérieure

Programme :

Accelerate

An intelligent framework for scalable sign language synthesis

Over 5% people across the world are hard of hearing, and require assistance in navigating public transportation/airports. This project attempts at automated sign language synthesis through a virtual avatar for improving day-to-day life of people with hearing impairment. The industry partner has developed a preliminary framework to conduct animation on virtual avatars to play back sign language. However, the current data pipeline to create the animations is cumbersome, error prone, and not scalable. The proposed project will create an intelligent framework for accurate and scalable sign language animation on virtual avatars. The framework will address common sign language synthesis issues such as self-occlusion, motion blur by employing novel deep neural network-based approaches. A large dataset will be collected to train the model, utilizing state-of-the-art head-mounted displays (e.g. Apple Vision Pro) instead of expensive motion capture set up, so that sign language experts from across the world can contribute. The proposed project is expected to create core technology for the industry partner that can not only help them expand their operations across other cities and countries, but also benefit Canadians as a whole by making public transportations and airports more accessible.

Voir la description complète du projet
Superviseur du corps professoral :

Naimul Khan

Étudiant :

Partenaire :

Deaf AI

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Toronto Metropolitan University

Programme :

Accelerate

Optimization of microwave sensor used to monitor insect activities and density in stored grain

Detecting insects and estimating their densities in stored grain bins especially at their low densities is critical for insect control. Our group developed a microwave resonance sensor which can detect insects without grain. The application of the sensor in stored grain bins should be further studied. Therefore, the general goal of this proposed study is to improve the developed microwave sensor and make a cost-effective and affordable microwave device. The objectives of this study are to 1) investigate the signal patterns of each insect species under different temperatures and grain moisture contents (total five insect species); 2) classify the counted insects (five insect species) into species; 3) enable the system continuously to record the resonance frequency patterns over time and automatically count insects; and 4) optimize the parallel processing among multiple microwave sensors and main computer.

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Superviseur du corps professoral :

Fuji Jian;Can-Ming Hu

Étudiant :

Partenaire :

AGI SureTrack LLC

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Manitoba

Programme :

Accelerate

Vision Guided Robotics for Laser/MIG Welding Seam Tracking

Weight reduction has been one of major driving forces of research and innovation in automotive industries. Changing from the conventional Laser overlap welding to edge welding could save 50% of total weight of joint flanges of workpiece. Also, edge welding can significantly improve the welded joint mechanical properties. However, edge welding is challenging since the thin laser beam needs to be guided on the joint constantly within tight boundaries. For this reason, project of vision-guided robotics for laser/MIG welding seam tracking is proposed. The idea is to use a vision sensor to track the joint constantly and accordingly correct the laser welding TCP trajectory when any deviation is detected. The research mainly includes finding a suitable vision sensor, designing an algorithm of noise filtering and edge detection, examining approach of laser TCP trajectory correction, and implementation of system integration. Benefits of a vision-guided robotic laser edge welding system will be reduced weights and higher quality welds.

Voir la description complète du projet
Superviseur du corps professoral :

Fengfeng Xi

Étudiant :

Partenaire :

Van-Rob Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Toronto Metropolitan University

Programme :

Accelerate

Developing a tandem electrolysis-gas capture-regeneration prototype for capturing carbon emissions from buildings in municipal settings

Carbon capture, utilization and storage (CCUS) is an important ally in the fight against climate change that can facilitate the transition to a low-carbon economy. In partnership with the Civic Innovation Lab Society, this project will study the deployment of carbon capture technology in buildings in the City of Burnaby, with a focus on hard-to-decarbonize buildings and assets. This project, informed by the City of Burnaby’s 2030 climate reduction targets, will develop a process that continuously captures building emissions using electrolysis as a means to generate rapid in-situ alkalinity combined with a gas-liquid contactor that will use gas-capturing surfaces to efficiently dissolve CO2. Electrolytes and reagents will be regenerated to evolve pure CO2 for sequestration or use as an economically valuable product. This conceptual process will be validated by batch and continuous pilot demonstrations. If successful, the project will be a first-of-its-kind demonstration of a tangible framework for cities to adopt carbon capture in situ in buildings towards a decarbonized economy using earth-abundant, petrochemical-free materials.

Voir la description complète du projet
Superviseur du corps professoral :

Sami Khan

Étudiant :

Partenaire :

Civic Innovation Lab

Discipline :

Engineering

Secteur :

Education; Other services (except public administration)

Université :

Simon Fraser University

Programme :

Accelerate

Mise au point d’un bioréacteur par perfusion pour permettre de la culture cellulaire en 3D à l’échelle du centimètre

Un défi dans le domaine médical est de pouvoir réparer ou remplacer des organes non fonctionnels. Actuellement la solution à ce problème est la transplantation d’organe entre un donneur et un receveur. Cette solution est fonctionnelle mais pose certains problèmes comme le manque de donneurs et la compatibilité entre donneur/receveur. Une solution à ces problèmes serait la production d’organes sur mesure. Cette solution est encore en développement et de nombreux défis techniques nous éloignent de sa réalisation. Ce projet de recherche vise à résoudre certains défis techniques pour se rapprocher de cet objectif. L’organisme partenaire développe un bioréacteur à perfusion, pour alimenter des cellules dans une chambre de culture. Le rôle du stagiaire est de travailler sur les matériaux, les cellules et les conditions physiques à l’intérieur de cette chambre pour optimiser la survie des cellules et guider la conception d’une nouvelle version du bioréacteur plus adapté aux besoins des cellules.

Voir la description complète du projet
Superviseur du corps professoral :

Patrick Vermette

Étudiant :

Partenaire :

Biotechnologies Régénix inc.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Université de Sherbrooke

Programme :

Accelerate

Extracting Document Structure from Text-Intensive Images, A Multi-Modal Approach

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

Voir la description complète du projet
Superviseur du corps professoral :

Yoshua Bengio

Étudiant :

Partenaire :

ServiceNow Canada

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

THE INNOVATIVE, MULTICENTRE, PATIENT-CENTRED APPROACH TO CLINICAL TRIALS IN SURGERY (IMPACTS) PROGRAM: CLinical Evaluation of Adults UNdergoing Elective Surgery Utilizing Intraoperative Incisional (CLEAN) Wound Irrigation: A Randomized Controlled Trial

A surgical site infection (SSI) is an infection that occurs after a surgical procedure. Despite a variety of infection prevention strategies, SSIs still occur often and impose a significant burden on patients and the healthcare system. Intraoperative irrigation (or washing of the surgical incision before closure) may reduce SSIs, but this is uncertain.
The Clinical Evaluation of Adults Undergoing Elective Surgery Utilizing Intraoperative Incisional Wound Irrigation (CLEAN Wound) trial aims to determine if incisional wound irrigation with an antiseptic or salt water solution can reduce SSIs within 30 days of surgery compared to no wound irrigation. 2,500 patients aged 18 years or older who are planned to undergo an abdominal or groin open or laparoscopic procedure will be randomly assigned to incisional wound irrigation with povidone-iodine solution; or incisional wound irrigation with saline; or no irrigation and followed for 30 days after surgery to assess the incidence of SSIs, with additional outcomes collected up to 90 days after surgery.
Even with significant advances in medicine over the past decades, there are still many fundamental issues in perioperative care that remain unclear due to lack of evidence. If this trial were to demonstrate that intraoperative wound irrigation reduces the incidence of SSI, these practice-changing findings could greatly benefit patients worldwide.

Voir la description complète du projet
Superviseur du corps professoral :

Sarvesh Logsetty

Étudiant :

Partenaire :

Megan Delisle Medical Corporation

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

University of Manitoba

Programme :

Accelerate

UI-Copilot: developing large multimodal models for open-ended web navigation

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

Voir la description complète du projet
Superviseur du corps professoral :

Irina Rish

Étudiant :

Partenaire :

ServiceNow Canada

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

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