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

Development of Supervised and Unsupervised Computer Vision Methods to Quantify Salmon and Forage Fish Biodiversity from Underwater Video

Underwater video cameras are a convenient method to monitor aquatic life such as fish. However, these cameras can collect a lot of footage, which can be challenging for humans to process. This project will use computer vision to automatically sort through video taken within and near to seaweed farms to specify the clips that have fish in them. The computers will then help identify and count rare and common fish to describe how marine organisms use seaweed farms as habitat. This information helps companies like Cascadia Seaweed farm seaweed in better ways to promote marine biodiversity by making their farms better habitats for marine life.

Voir la description complète du projet
Superviseur du corps professoral :

Alexandra Branzan Albu;Francis Juanes

Étudiant :

Partenaire :

Cascadia Seaweed

Discipline :

Computer science

Secteur :

Sustainability & the Environment; Artificial Intelligence; Aquaculture and Fishing

Université :

University of Victoria

Programme :

Accelerate

Artificial Intelligence for Condition Assessment of Critical Infrastructure

Unexpected deterioration and failure of concrete infrastructure causes major disruptions and in the most severe
cases, results in lives lost. According to the 2019 Canadian Infrastructure Report Card, Canadian public
infrastructure is at risk therefore, detecting and addressing deterioration in such structures is crucial. The Damage
Rating Index (DRI), a reliable novel quantitative microscopic procedure, is currently used to assess deterioration
in concrete. Yet, its use is limited since it is time-consuming besides requiring experienced operators. Automating
the DRI using artificial intelligence (AI), reducing human error and increasing its accessibility leading towards more
complete diagnosis, has the potential to revolutionize the monitoring and management of critical concrete
infrastructure, enabling early detection, preventing minor disruptions and catastrophic failures and helping in the
selection of rehabilitation strategies to extend the lifespan of aging/deteriorating structures. Combined with the
collaboration of Englobe and their expertise in concrete materials, this project will achieve fruitful results.

Voir la description complète du projet
Superviseur du corps professoral :

Leandro Sanchez

Étudiant :

Partenaire :

Englobe

Discipline :

Engineering

Secteur :

Construction; Artificial Intelligence

Université :

University of Ottawa

Programme :

Accelerate

An Aerodynamic-Acoustic Design of an Electrical and Shrouded Tail Rotor

Aerospace industry innovations targets reduction of fuel consumption and noise emission. Electrical power-bywire
enabled technology address these challenges yielding lighter designs, increased operation flexibility and cost
reduction. With electric motors having variable rotational speed, constraints in design and optimization strategies
for rotor and propellers can be released. ln addition to conventional aircraft and rotorcraft, new concepts arise in
the urban air mobility or autonomous air delivery markets. Noise annoyance during manoeuvre and local
community noise concerns around heliports have to be addressed early by manufacturers. This research project
is intended to take on the challenge with the development of aerodynamic-aeroacoustic coupled optimization
methods for the design of quieter rotor and propellers. The objective of the partnership Bell Textron Canada
Limited and Optis Engineering is to develop a coupled aerodynamic-aeroacoustic optimization framework for an
electrical distributed anti-torque (EDAT) system to equip future Bell helicopters produced in Canada.

Voir la description complète du projet
Superviseur du corps professoral :

Marlène Sanjosé;Stéphane Moreau;Sivakumaran Nadarajah

Étudiant :

Partenaire :

Bell Textron Canada;Optis Consultants Inc

Discipline :

Engineering

Secteur :

Manufacturing; Transportation and warehousing

Université :

École de technologie supérieure; McGill University; Université de Sherbrooke

Programme :

Accelerate

Documentation et évaluation d’un projet de transition socio-écologique dans une perspective d’amélioration et de mise à l’échelle

La génération de déchets dans le secteur de la restauration a emporté est un fléau. Alors que la Ville de Montréal vient d’adopter un règlement interdisant l’utilisation de plastiques à usage unique, l’entreprise d’économie sociale Retournzy coop propose un modèle innovant d’économie circulaire et de partage de contenants réutilisables consignés sous forme d’un réseau. L’objectif de la recherche sera de documenter les résultats et indicateurs des opérations menées sur le terrain afin de formuler des recommandations quant à l’amélioration du processus dans une perspective de validation de l’intervention comme réponse à l’objectif de départ ainsi qu’une perspective de mise à l’échelle.

Voir la description complète du projet
Superviseur du corps professoral :

Luciano Barin Cruz

Étudiant :

Partenaire :

Retournzy Coop de Solidarité

Discipline :

Business

Secteur :

Real estate and rental and leasing

Université :

HEC Montréal

Programme :

Accelerate

Early Biomarkers for Prediction of Chemotherapy-induced RNA Disruption in Tumour Cells

Chemotherapy agents can induce the degradation of a molecule in tumour cells called RNA. We call this phenomenon “RNA disruption”. High tumour RNA disruption after about 1 month of chemotherapy predicts for complete tumour destruction and improved cancer patient survival. We and Rna Diagnostics, Inc. are using this knowledge to predict patient outcome from chemotherapy. Patients with tumours not exhibiting high RNA disruption are likely to benefit from discontinuing chemotherapy and moving on to other treatments. We now have knowledge of earlier events within tumour cells that precede RNA disruption. The student will example some of these earlier events, with the goal of possibly identifying new tools to predict chemotherapy treatment outcome even earlier during treatment.

Voir la description complète du projet
Superviseur du corps professoral :

Tom Kovala

Étudiant :

Partenaire :

RNA Diagnostics Inc

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Professional, scientific and technical services

Université :

Laurentian University

Programme :

Accelerate

Le profil du client selon l’aire de diffusion: une application au domaine culturel

Un des gros défis des entreprises culturelles et artistiques est celui de la connaissance de leur public. Cette connaissance est le principal fondement pour la mise en place d’actions marketing pertinentes (Colbert & Dantas, 2019). Certes, les informations fournies par les systèmes de billetterie sont utiles pour la prise de décision. Cependant, ces informations ne sont pas suffisantes pour dresser un profil du public consommateur de spectacles. Ainsi, à l’aide de données de billetterie (Tuxedo) correspondant à plus de 15 000 spectacles, de codes postaux (Postes Canada) et des aires de diffusion (Statistiques Canada), nous allons établir le profil des clients ayant acheté des billets pour chacun des spectacles analysés.

Voir la description complète du projet
Superviseur du corps professoral :

Danilo Dantas

Étudiant :

Partenaire :

Groupe iCible Inc.

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

HEC Montréal

Programme :

Accelerate

Cost-effective leachate treatment using aerobic granular sludge technology

Landfill leachate is a complex wastewater composed of organic carbon, nitrogen compounds, dissolved solids, and heavy metals. Leachate characteristics may differ depending on the waste landfilled, climate conditions, and landfill age. Because of the toxic and recalcitrant nature of its constituents, landfill leachate wastewater (LLW) must be treated before being released to the environment. There is an urgent need to develop robust and energy and cost efficient leachate treatment processes that can handle the high organic carbon and high ammonia loadings of leachate while be able to withstand the toxicity and inhibition that may arise due to the heavy metals of leachate.
In this two-year project, Dr. Liu’s research group at the University of Alberta will collaborate with the City of Edmonton, to develop and optimize aerobic granular sludge (AGS)-based nitritation/denitritation/anammox treatment processes for energy efficient high-strength LLW treatment. Pilot-scale bioreactors will be operated and optimized for enhanced ammonia reduction efficiency, improved energy efficiency and reduced environmental impacts for LLW treatment. The focus will be to determine the optimal conditions for LLW treatment and select the operation conditions and control strategies most favorable for developing a robust microbiome within bioreactors.

Voir la description complète du projet
Superviseur du corps professoral :

Yang Liu

Étudiant :

Partenaire :

City of Edmonton

Discipline :

Engineering

Secteur :

Administrative and support, waste management and remediation services; Public administration

Université :

University of Alberta

Programme :

Accelerate

Using Technology for Curriculum-Based Measurement of Literacy

We do not have an effective Canadian Curriculum-Based Measurement Tool. Moreover, existing tools do not incorporate Artificial Intelligence. We aim to develop a tool that will enable the targeted and brief assessment of gaps in student literacy skills with the aim of allowing strategic instruction to be planned and delivered based on those gaps. Identifying and addressing these gaps is critical to improving student trajectories and ensuring their later success. Year 1 of our joint research project will implement established programs to provide online tutorial sessions. These sessions will enable data collection so that we can begin the development of a Curriculum-Based Measurement Tool in year 2. This tool will be developed using models that were created with the Year 1 data.

Voir la description complète du projet
Superviseur du corps professoral :

Carrie Demmans Epp;Janet Werker

Étudiant :

Partenaire :

uLearnify Ltd.

Discipline :

Computer science

Secteur :

Education

Université :

University of Alberta

Programme :

Accelerate

Remotely Piloted Aircraft Systems for Precision Agriculture in Canadian Stone Fruit Orchards

On this project, the use of tethered remotely piloted aircraft systems to protect stone fruit orchards will be explored. The intern sill design and evaluate the performance of such aircraft systems and conduct both ground and in-flight testing of the system. BAAZ UAV will benefit from this technology and the potential deployment to support Canadian stone fruit producers in adapting to increasingly unpredictable and unfavourable growing conditions due to climate change.

Voir la description complète du projet
Superviseur du corps professoral :

Jeremy Laliberté

Étudiant :

Partenaire :

BAAZ UAV

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Carleton University

Programme :

Accelerate

Development of new RNA-guided dual-cleaving nucleases

Gene editing with RNA-guided nucleases based on the CRISPR bacterial defence system (clustered regularly interspaced palindromic repeats) has revolutionized both basic science and therapeutic applications. However, CRISPR associated (Cas) nucleases are not optimized for all types of gene-editing applications. In particular, the double-strand breaks made in DNA by the Cas proteins are imperfectly repaired by cellular DNA repair pathways that lead to a spectrum of gene-editing outcomes. The goal of this project is to develop new dual-cleaving RNA guided nucleases that generate defined gene-editing outcomes and that can target sequences not accessible by commonly used Cas9 nucleases. Given the wide-spread adoption of gene-editing technologies, the new dual-cleaving nucleases would provide alternative and improved gene-editing tools for basic scientific studies by academic and industry researchers. For Specific Biologics, this partnership supports future downstream therapeutic use of new dual-cleaving nucleases to target genetic mutations that cannot be targeted with current gene editors.

Voir la description complète du projet
Superviseur du corps professoral :

David Edgell

Étudiant :

Partenaire :

Specific Biologics Inc

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

The University of Western Ontario

Programme :

Accelerate

In Pursuit of Local Histories: Regent Park Film Festival and the Immediacy of the Archive

To commemorate its 20th anniversary in 2022, the Regent Park Film Festival will commission four local IBPOC artists (prioritizing gender diversity and those from Regent Park or similar communities in Toronto) to produce digital media art works that engage with the history of Regent Park. The basis for their artistic engagements will include visual source material such as archival footage of Regent Park (documentaries, news coverage, home videos from residents etc.), as well as narrative forms set in Regent Park (short and feature films, web series episodes, music videos etc.). The Mitacs Post-Doctoral researcher will support the production of the films both through archival research, interviews with community stakeholders and the creation of an online digital interface that will support and extend the films.

Voir la description complète du projet
Superviseur du corps professoral :

Janine Marchessault;Desiree de Jesus

Étudiant :

Partenaire :

Regent Park Film Festival

Discipline :

Sociology

Secteur :

Arts, entertainment and recreation

Université :

York University

Programme :

Accelerate

Generative Face Models for Video Chat and Broadcast

In today’s world, the video chat and conferencing has been a necessary part of overall routine life (both personal and work). Currently, the video chat and broadcast technologies require lots of bandwidth to transmit high quality data. In overall project, we aim to make video transmission data intelligent by using the state-of-the-art AI technology. This will not only reduce the size of video data but will also include the ‘instructions’ to give users creative control of their representations and serve as a segue to the metaverse – the intelligent part.
In this part of the project, we are planning to utilize the state-of-the-art face generating StyleGan2 neural network that convert the face video data into the compressed, intelligent, and ready-for-transmission data format. At the receiving end, the transmitted instructions will be used to regenerate the transmitted video data. The additional instructions to manipulate the video will provide the useful mechanism to generate the avatars with realistic faces – a must have feature for upcoming metaverse.

Voir la description complète du projet
Superviseur du corps professoral :

Abdul Bais

Étudiant :

Partenaire :

Cya Live

Discipline :

Engineering

Secteur :

Artificial Intelligence; Information and Communications Technology; Entertainment and Media

Université :

University of Regina

Programme :

Accelerate

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