Projets novateurs réalisés

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

31 620 projets complétés

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856
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696
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899
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9419
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9858
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98
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619
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Projets par catégorie

From pipeline inspection data to insight

To ensure oil and gas pipelines operate safely, instrumented inspections and assessments are completed on a recurring frequency. A common and valuable inspection method is In-line inspection (ILI). This form of inspection uses a measurement device (ILI tool) that is propelled through the pipeline by product flow and the tool identifies and sizes anomalous conditions along the inside and outside walls of the pipeline that could affect the pipes ability to contain the product. Anomalous conditions can include metal loss corrosion, deformations, cracking, weld defects, and other defects on pipe welds. The results of an ILI survey are used in the determination of repair and replacement locations for a pipeline. The purpose of this project is to study the data from multiple historical ILI surveys, subsequent corresponding non-destructive examinations (NDE) reports, and basic pipe attribute and operating data to assess if any trends, patterns, or commonalities can be determined.

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Superviseur du corps professoral :

ZhangXing John Chen

Étudiant :

Partenaire :

Dynamic Risk

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Calgary

Programme :

Accelerate

Antioxidants render silicone elastomer surfaces antiviral

Viruses are susceptible to antioxidants. COVID-19, to which the grant is directed, is also affected by surface active species, like soap. These two vulnerabilities of the virus will be combined to create silicone coatings that will render relevant surfaces anti-viral (e.g., doorknobs, facemasks and shields). Antioxidants will be modified with entities that allow them to be dispersed in silicone elastomers, from which they can be released, or to which they are chemically tethered. In either case, the surface active and antioxidant active ingredients will present at the interface, leading to COVID-19 death on contact. The research project involves small molecule and polymer synthesis, physical characterization, and biological assessment using, initially, a safe virus bacteriophage as a surrogate for COVID-19. Our partner, Siltech, is a world leader in surface active silicones. They will scale up and test promising surface formulations. 1 PDF will be involved in the project.

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Superviseur du corps professoral :

Michael Brook

Étudiant :

Partenaire :

Siltech

Discipline :

Physics

Secteur :

Manufacturing

Université :

McMaster University

Programme :

Accelerate

Monolithic microwave integrated circuit front-end module for satellite communication and next generation wireless communication applications – Year two

Front-end Module is key component in satellite and wireless telecommunication systems. It contains sub-modules like power amplifier, duplexer, antenna, low noise amplifier and etc. Advanced semiconductor technology enables the integration of these sub-modules. Compared to conventional bulky communication systems, this integration features compact size, lower cost, and higher performance. In 2019, the MMIC market reaches 7.7 Billion and increase to 10 Billion in 2022. The proposed project will use Gallium Nitride, the latest semiconductor technology, to design high performance MMIC chips. The target of this project is increasing the efficiency and bandwidth of the power amplifier, lower the noise of low noise amplifier and the switch, and integrate these parts in a compact area. The outcome of project will provide competitive products to the communication market which helps the partner company to gain a larger market share in the near future.

Voir la description complète du projet
Superviseur du corps professoral :

Ammar Kouki

Étudiant :

Partenaire :

AGILEMMIC INC

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

École de technologie supérieure

Programme :

Elevate

Monolithic microwave integrated circuit front-end module for satellite communication and next generation wireless communication applications

Front-end Module is key component in satellite and wireless telecommunication systems. It contains sub-modules like power amplifier, duplexer, antenna, low noise amplifier and etc. Advanced semiconductor technology enables the integration of these sub-modules. Compared to conventional bulky communication systems, this integration features compact size, lower cost, and higher performance. In 2019, the MMIC market reaches 7.7 Billion and increase to 10 Billion in 2022. The proposed project will use Gallium Nitride, the latest semiconductor technology, to design high performance MMIC chips. The target of this project is increasing the efficiency and bandwidth of the power amplifier, lower the noise of low noise amplifier and the switch, and integrate these parts in a compact area. The outcome of project will provide competitive products to the communication market which helps the partner company to gain a larger market share in the near future.

Voir la description complète du projet
Superviseur du corps professoral :

Ammar Kouki

Étudiant :

Partenaire :

AGILEMMIC INC

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

École de technologie supérieure

Programme :

Elevate

Spatio-Temporal Models for the Analysis of GPS Traces: Application to Road Safety

The goal of this research is to leverage the telematics data collected in the context of the usage-based insurance program at Intact for road safety improvement. Specifically, we aim to tackle issues on the identification of risky driver behaviors through the characterization of unsafe events and to identify sites on the road network with high probability of collision. The objectives of this research project are defined around three research themes: 1) Automated detection and characterization of unsafe events at the driver level using unsupervised, semi- supervised and supervised machine learning models; 2) Computation of contextual variables at the network level (traffic and congestion measures); and 3) Network screening and validation of the measures defined in themes 1) and 2). This project will revolve around the third theme which will involve the development of spatio-temporal point process models for network screening using historical crash database. This project is part of a larger research project carried at HEC Montreal on road safety in collaboration with several researchers from McGill, Polytechnique and HEC Montreal. By developing a better framework and better tools for GPS and motion sensor data analysis, Intact Insurance will gain a competitive edge over its competitors, both nationally and internationally.

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Superviseur du corps professoral :

Aurélie Labbe

Étudiant :

Partenaire :

Intact

Discipline :

Mathematics

Secteur :

Transportation (excluding aerospace); Finance and Insurance; Health and Related Sciences & Technology

Université :

HEC Montréal

Programme :

Elevate

Trunk task-oriented training combined with functional electrical stimulation to improve functional independence in spinal cord injured individuals

Following a spinal cord injury (SCI), sensory and motor impairments affect the ability to perform daily life tasks independently, such as transferring or grabbing an object. Intuitively to accomplish these tasks, the use of the upper and lower limbs is obvious, but the trunk is equally essential. Trunk control alterations generate deficits in the functional independence (FI), even in sitting position. However, alteration processes and clear treatment guidelines have not been issued.
Trunk task-oriented training (T-TOT) combined with function electrical stimulation (FES) is a novel rehabilitation approach using the capacity of the central nervous system to reorganize (neuroplasticity) to increase trunk motor control and therefore possibly improve FI.
The objectives are to 1) evaluate FES/T-TOT efficacy on sitting balance and FI, and 2) understand the mechanisms of neuroplasticity that would improve FI following FES/T-TOT in individuals with SCI.
Improving FI of individuals with SCI will reduce healthcare costs for the individuals themselves and the health system. Private clinics are increasingly becoming key players in the healthcare system for the recovery and health of Canadians.

Voir la description complète du projet
Superviseur du corps professoral :

Dorothy Barthélemy

Étudiant :

Partenaire :

Neuro-Concept Inc

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

Université de Montréal

Programme :

Elevate

Elaboration of a high-throughput toolbox for analysis and visualization of mesoscale longitudinal cortical imaging dataset – Year two

In recent years, a dramatic increase in computer processing power and storage allowed the exploration of new frontiers in science by analyzing large, complex datasets. The field of neuroscience is evolving towards larger and more complex studies creating a huge amount of data that is hard to understand using classical analyses. Thus, the development of tools able to process voluminous datasets is necessary to advance our understanding of brain function. Although some efforts have been made to solve this issue, most of the software is created “in-house” with limited applications, discouraging their use by other groups. In this project, a new open-source software will be designed to process large amounts of data from brain optical imaging experiments. This will be done with the collaboration of LabeoTech, a Canadian SME specialized in the development of technological tools applied to biomedical research. The toolbox will be published online where web-based tools will be created to build a community of researchers and engineers/programmers to encourage discussions on analytical problems on optical imaging. This will give LabeoTech a greater reach to more potential clients worldwide, and consequently it will contribute to the establishment of a Canadian expertise on this niche of biomedical research industry.

Voir la description complète du projet
Superviseur du corps professoral :

Matthieu Vanni

Étudiant :

Partenaire :

LabeoTech

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

Université de Montréal

Programme :

Elevate

Elaboration of a high-throughput toolbox for analysis and visualization of mesoscale longitudinal cortical imaging dataset

In recent years, a dramatic increase in computer processing power and storage allowed the exploration of new frontiers in science by analyzing large, complex datasets. The field of neuroscience is evolving towards larger and more complex studies creating a huge amount of data that is hard to understand using classical analyses. Thus, the development of tools able to process voluminous datasets is necessary to advance our understanding of brain function. Although some efforts have been made to solve this issue, most of the software is created “in-house” with limited applications, discouraging their use by other groups. In this project, a new open-source software will be designed to process large amounts of data from brain optical imaging experiments. This will be done with the collaboration of LabeoTech, a Canadian SME specialized in the development of technological tools applied to biomedical research. The toolbox will be published online where web-based tools will be created to build a community of researchers and engineers/programmers to encourage discussions on analytical problems on optical imaging. This will give LabeoTech a greater reach to more potential clients worldwide, and consequently it will contribute to the establishment of a Canadian expertise on this niche of biomedical research industry.

Voir la description complète du projet
Superviseur du corps professoral :

Matthieu Vanni

Étudiant :

Partenaire :

LabeoTech

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

Université de Montréal

Programme :

Elevate

Tsawwassen First Nation Post Treaty Community Well-Being Study

In 2009, the Tsawwassen First Nation (TFN) signed a self-governance treaty with the Canadian and British Columbia governments, the first to do so under the Federal-Provincial treaty process. The impact of obtaining self governance outside the Indian Act is, therefore, something that is important, not only for TFN, but as an example for other First Nations communities in British Columbia. This project will carry out an interview survey to determine the well-being of the TFN. This will provide data on the current state of well-being as well as baseline data on measures that can be used again in future years to determine directions of change under self-government. The significance of the research goes well beyond TFN. It is likely that many of the other FNs will ultimately sign ‘treaty’.

Voir la description complète du projet
Superviseur du corps professoral :

Ralph Matthews

Étudiant :

Partenaire :

Tsawwassen First Nation;Tsawwassen First Nation Economic Development Corporation

Discipline :

Sociology

Secteur :

Public administration

Université :

The University of British Columbia

Programme :

Accelerate

Traitement de signal et apprentissage machine appliqués à une technologie tactile par ondes guidées ultrasonores

De nouvelles applications de surfaces interactives sont en plein essor telles que les écrans tactiles surdimensionnés et complètement transparents, des éléments d’habitacles interactifs dans les véhicules autonomes ou encore du mobilier interactif. Pour de telles applications, les technologies tactiles actuelles (capacitive, résistive, infrarouge) ne s’appliquent pas ou deviennent trop coûteuses. Une nouvelle technologie tactile par ondes ultrasonores, développée au Groupe d’Acoustique de l’Université de Sherbrooke (GAUS), permet d’outrepasser les limites des technologies conventionnelles et de rendre tactile n’importe quelle structure mince pouvant vibrer. Cette technologie brevetée requiert peu de capteurs, est facile à mettre en œuvre et permet de localiser plusieurs points de contact et d’estimer la pression appliquée sur la structure. Cependant, la quantité importante de données à traiter en temps réel limite actuellement ses performances. Le projet de recherche proposé vise à augmenter les performances de la méthode (1) en réduisant la quantité de données à traiter en temps réel et la quantité de calculs, et (2) en introduisant des méthodes d’apprentissage machine supervisé et de classification par régression pour déterminer la position des contacts sur la surface.

Voir la description complète du projet
Superviseur du corps professoral :

Patrice Masson;François Grondin

Étudiant :

Partenaire :

All Waves Technologies

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Université de Sherbrooke

Programme :

Elevate

L’énergie transactionnelle: implications psychosociales pour l’optimisation de la participation du client

Partout à travers le monde, le marché de l’énergie se renouvelle constamment afin d’assurer une bonne efficacité et fiabilité. Qui plus est, des citoyens choisissent d’être plus proactifs et autonomes par rapport à leur consommation d’énergie en la produisant eux-mêmes (prosommateurs). Parmi les stratégies émergentes, les échanges d’énergie en pair à pair (P2P), en communautaire et dynamiquement vers le réseau de distribution qualifiés d’énergie transactionnelle se taillent une place importante, car elle permet aux clients de produire, emmagasiner et vendre sa propre énergie. Au Québec, Hydro-Québec représente le principal producteur et distributeur d’électricité. Toutefois, considérant l’ampleur que prennent différentes initiatives citoyennes de la part de groupe d’innovateurs, Hydro-Québec souhaite préparer l’arrivée de prosommateurs sur le marché de l’énergie transactionnelle. Considérant que ses clients sont des prosommateurs potentiels, une meilleure compréhension de leurs perceptions par rapport à ce nouveau phénomène est visée. Ce projet de recherche permettra donc de développer des connaissances par rapport au marché de l’énergie transactionnelle, en s’attardant plus particulièrement au point de vue des clients, qui représentent des parties prenantes de ce type de marché. La connaissance des besoins et attentes des citoyens favorisera l’arrimage avec ceux de l’entreprise et contribueront aux réflexions stratégiques organisationnelles.

Voir la description complète du projet
Superviseur du corps professoral :

Dany Lussier-Desrochers

Étudiant :

Partenaire :

Institut de Recherche Hydro-Quebec - Laboratoire des Technologies de l'Énergie

Discipline :

Sociology

Secteur :

Professional, scientific and technical services; Utilities

Université :

Université du Québec à Trois-Rivières

Programme :

Elevate

The Use Of Wearable Vital Signs Sensor Technology For Early Physiological Detection And Tracking Of Viral Respiratory Tract Infections – Year two

BACKGROUND: Viral respiratory tract infection (VRTI) is the most common illness in humans, resulting in a total economic impact of $40 billion annually in the United States. Taking into consideration the current novel coronavirus pandemic – impacting billions of people around the world, compromising the global economy, and putting extreme pressure on healthcare systems – it is imperative to identify novel ways to both detect and prevent VRTIs such as COVID-19. GOALS: Determine the relationship between infection dynamics, physical activity type and intensity, and short-term effects on physiological and biomechanical performance, as monitored by novel wearable vital-signs sensors. METHODS: A controlled, longitudinal study involving 30 days of continuous monitoring in 60 healthy adults. The advanced, integrative approach will involve several scientific disciplines (kinesiology, virology, immunology, artificial intelligence) and state-of-the-art technologies. VRTI will be induced via controlled human infection (inoculation). Novel infection detection techniques will be based on host?response signatures enabling measurement of inflammatory status dynamics. Activity-monitoring biosensors will continuously and simultaneously monitor physiological and biomechanical parameters. EXPECTED OUTCOMES: This study will deepen our understanding of whether we can detect, or predict subtle changes in vital signs (prior to the onset of symptoms) that correlate with illness onset, progression, and recovery.

Voir la description complète du projet
Superviseur du corps professoral :

Dennis Jensen

Étudiant :

Partenaire :

Hexoskin

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

McGill University

Programme :

Elevate

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