Projets novateurs réalisés

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

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

Fiber Optic Hydrophone Array

The proposed work targets the development of a fiber optic hydrophone array for underwater acoustics detection and recognition, with the potential for applications in national defense. We propose a new concept of using a small-size low-cost fiber optic hydrophone that are nearly undetectable and can be deployed in a dense array across a wide area and depths. The new hydrophone technology will offer a real-time capability and the required dynamic range to detect and track underwater as well as surface vessels. Working closely with the partner organization would help guide the development to meet requirements of real-life applications. Furthermore, the partner organization would participate in marketing research and steps towards commercialization.

Voir la description complète du projet
Superviseur du corps professoral :

Vlastimil Masek

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Engineering

Secteur :

Ocean Tech; Technology; Other

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Évaluation de différents protocoles de mise en diapause pour Trichogramma brassicae

Le projet vise à déterminer le meilleur protocole de mise en diapause de Trichogramma brassicae. Cet insecte est un parasitoïde s’attaquant aux oeufs de la pyrale du maïs et est utilisé depuis plusieurs années au Québec pour lutter contre cette pyrale réduisant par ce fait la quantité de pesticide utilisé par les agriculteurs. La diapause est un arrêt de l’activité ou du développement chez les insectes lors de conditions défavorables. Dans le cas des trichogrammes, ceux-ci entre en diapause afin de passer l’hiver. Nous cherchons donc à utiliser cette caractéristique biologique afin de pouvoir entreposer les pupes de T. brassicae au froid pour de longue période. L’acquisition par Anatis Bioportection d’un protocole permettant l’entrée en diapause des trichogrammes lui assurera une production durant toute l’année l’aidant à être plus compétitive.

Voir la description complète du projet
Superviseur du corps professoral :

Éric Lucas

Étudiant :

Partenaire :

Anatis Bioprotection Inc.

Discipline :

Life Sciences

Secteur :

Université :

Université du Québec à Montréal

Programme :

Accelerate

Examining the role for intimal cell communication in early atherosclerosis

Atherosclerosis is a disease defined by unresolved inflammation in the major arteries. High cholesterol is a major risk factor, resulting in fatty lesions developing silently for decades before causing heart attacks and strokes. Currently, no therapies exist that target the cells of the artery wall to suppress this disease. Myeloid cells (MCs) are white blood cells found in the inner artery wall, residing under a barrier of cells called endothelial cells (ECs). In the aorta, MCs are found only in areas where lesions grow. In mice with high cholesterol, arterial MCs engulf lipid and become “foam cells”. This is the first step in the formation of atherosclerosis. I believe that MCs and ECs communicate with each other within the artery wall and elevated cholesterol disrupts this communication. This work aims to target the cells within the artery, to restore proper cell communication, reduce inflammation, and ultimately decrease cardiovascular disease.

Voir la description complète du projet
Superviseur du corps professoral :

Myron I. Cybulsky

Étudiant :

Partenaire :

Industrial Biodevelopmental Laboratory

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Ocean wind and wave parameter estimation using X-band marine radar images with rain mitigation

The real-time monitoring of sea surface wind and wave information are crucial to the safety, performance and efficiency of various weather-sensitive on- and offshore operations, such as oil & gas platform drilling, port operations and offshore wind farming. This project plans to propose an accurate and robust method to estimate sea surface wind and wave parameters (e.g., wind speed, wind direction, wave height, etc) using a type of sensor called X-band marine radar. Compared to other traditional sensors such as buoy, X-band marine radar is a “dry” sensor deployed above water, which is low on maintenance cost. Although various methods have been developed to wind and wave information using radar images generated by electromagnetic waves, the presence of rain will negatively affect the quality of the image, leading to low estimation accuracy. In order to solve this problem, this project aims to develop a novel method to mitigate the influence of rain on radar and further improve estimation accuracy based on machine learning techniques.

Voir la description complète du projet
Superviseur du corps professoral :

Weimin Huang

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Engineering

Secteur :

Ocean Tech; Information and Communications Technology; Artificial Intelligence

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Automated CT Data Analysis for Nuclear Reactor Maintenance

This project is aiming at the development of integrated computed tomography (CT) for automated integrity control of tools used in nuclear reactors during maintenance and inspection activities. Due to large number of complex tools, and the fact that the current process of tool integrity check is performed manually, the time required to finish the integrity check associated with each reactor maintenance and inspection task is extremely high. The current process is prone to human errors, where human inspectors might falsely assumes remaining parts are in the vault, with extended outage time that increases the costs of nuclear reactor repair and maintenance work in the order of millions of dollars. The proposed project is employing X-ray Computed Tomography (CT) technology to scan every tool before and after every vault work. Using advanced image processing, the pre-use scan before the vault work can be used to check every critical part of the tool. The automated pre-use scan process will verify if the tool is ready for vault use or not which will reduce time and cost.

Voir la description complète du projet
Superviseur du corps professoral :

Hossam Gaber;Jing Ren

Étudiant :

Partenaire :

New Vision Systems

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Ontario Institute of Technology

Programme :

Accelerate

Non-invasive automated assessment of tonic attention (vigilance) of commercial airline pilots during simulated flights – Part 2

With the goal of increasing the safety of civilian air flight, the detection of a decrease in pilot attention is becoming an important need in civilian aeronautics. Multiple models used for the detection of hypovigilant states have been developed over the years in experimental conditions, but barriers still exist limiting current use. First, some of these models require the execution of behavioral tasks that can disrupt pilot workflow. Second, other models relying on the use of physiological monitoring devices are still too cumbersome. The main objective of this project is to review all of the scientific publications about hypovigilance detection models so that future functional models can integrate the best evidence available. Although the main domain of application is aeronautics, other domains would also benefit from such technologies such as ground transportation and medical care.

Voir la description complète du projet
Superviseur du corps professoral :

Patrick Archambault

Étudiant :

Partenaire :

Thales Canada Inc

Discipline :

Life Sciences

Secteur :

Aerospace; Life Sciences (not health); Technology

Université :

Université Laval

Programme :

Accelerate

Real-time FPGA-based Architecture for Image andVideo Upscaling from Local Self-Examples

This project is about image upscaling which refers to the task of constructing a high
resolution image of a given lower resolution image, while preserving features of the original
image, such as sharpness and texture. One of the utmost difficulties that limit practical
application of state-of4he-art upscaling algorithms is their inherent computation demand, and
thus, conventional software implementations of upscaling algorithms are often unable to
deliver the required performance in many commercial applications such as mobile devices,
digital TVs, media players, and satellite imaging. In this project, we aim at a commercially
viable hardware (FPGA-based) implementation of an upscaling method that exploits local
self-similarities in the input image. We propose to desig a resources and power optimized
FPGA-based reconfigurable IP core that shall upscale HD1 D8Dp video streams in real-time
(30 frames/s). Our proposal outlines how we plan to achieve such a commerciallP core for a
robust image upscaling.

Voir la description complète du projet
Superviseur du corps professoral :

Aishy Amer

Étudiant :

Partenaire :

TandemLaunch Inc

Discipline :

Engineering

Secteur :

Finance and Insurance; Professional, scientific and technical services

Université :

Concordia University

Programme :

Accelerate

Development and Evaluation of Interventions for Farm Machinery Operators to Improve Musculoskeletal and Cognitive Health

Producers and farm workers are exposed to whole-body vibration (WBV) on a regular basis when operating farm machinery. The short-term effect of WBV include cognitive impairment and musculoskeletal disorders, such as low back pain. To aid in promoting worker cognitive and musculoskeletal health, rest and/or activity breaks may provide relief from these hazards and can be implemented immediately without cash investment. For these breaks to be appealing, they must be effective in reducing adverse health effects from WBV exposure, and must be feasible for field implementation. This multidisciplinary project will develop, test, and evaluate effective activity break interventions for agricultural equipment operators in order to mitigate adverse cognitive and musculoskeletal health effects during prolonged WBV. Worker participation and engagement will be incorporated throughout this project, to advise in developing best practices for field testing implementation. Outcomes of this work will include a set of guidelines and recommendations for field-test implementation.

Voir la description complète du projet
Superviseur du corps professoral :

Stephan Milosavljevic

Étudiant :

Partenaire :

Agrivita Canada Inc.

Discipline :

Life Sciences

Secteur :

Other services (except public administration)

Université :

University of Saskatchewan

Programme :

Accelerate

Waterloo Affordable Housing Living Lab (WAHLL)

Waterloo Region is facing an acute housing crisis across the housing continuum. Waterloo Affordable Housing Living Lab (WAHLL) is an applied research collaborative aimed at understanding the local housing system to better enable investment in sustainable solutions. WAHLL is comprised of the Kitchener Waterloo Community Foundation (KWCF), Union: Sustainable Development Co-operative (Union Co-operative), and University of Waterloo’s ‘Waterloo Institution for Social Innovation and Resilience’ (WISIR). KWCF has convened a Housing Innovation Roundtable (HIR) which operates across sectors and will serve as the core stakeholder group for this collaborative. Union Co-operative seeks to leverage the growing social finance market to acquire properties in Waterloo Region, and the Co-operative is an HIR participant that will provide the perspective of a prototypical organization-level intervention. WISIR will undertake system mapping and modelling built on their Social Innovation Lab process and their work in community-based social finance.

Voir la description complète du projet
Superviseur du corps professoral :

Michele Mastroeni;Anthony Piscitelli;Sean Geobey;Sean Geobey;Anthony Piscitelli

Étudiant :

Partenaire :

Union: Sustainable Development Co-operative;Kitchener Waterloo Community Foundation

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology; Real estate and rental and leasing

Université :

Conestoga College Institute of Technology and Advanced Learning; Ontario College of Art & Design University; University of Waterloo

Programme :

Accelerate

Energ-AI: Artificial Intelligence in Electrical Power Engineering

Classical engineering, referring to the three fields of civil, mechanical and electrical engineering, is currently based on traditional working methods. For example, the validation of plans is often done in paper version and the engineer must interpret photos and drawings manually, which introduces a risk of error due to the human factor. In addition, the shortage of labor in this area means that the economic potential of this industry in Canada cannot be exploited to its full value. In order to improve the efficiency, reliability, profitability and safety of the public and workers, the use of new digital technologies would allow engineering to migrate to the modern era.
To do this, the proposed project is to use artificial intelligence models to automatically interpret drawings and photos of electrical installations. This will allow the consulting engineering firm CIMA+ to stand out and offer these new services to its customers.

Voir la description complète du projet
Superviseur du corps professoral :

Martin Vallières;François Bouffard

Étudiant :

Partenaire :

CIMA+ (Sherbrooke, QC)

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Université de Sherbrooke

Programme :

Accelerate

Optimisation de la puissance et de l’énergie spécifiques des cellules au lithium-ion par métaheuristique combinée à la modélisation.

Le présent projet vise l’amélioration des performances des cellules au lithium-ion servant au stockage d’énergie électrique. L’énergie et la puissance des cellules au lithium-ion font parties de leurs propriétés les plus importantes. Une optimisation sera donc effectuée afin de maximiser l’énergie ainsi que la puissance de ces dispositifs. Le travail sera réalisé pour les trois formats de cellules les plus communs : les formats cylindrique, prismatique et sachet. De plus, le projet étudiera les deux matériaux, ou composés chimiques les plus utilisés actuellement pour le stockage d’énergie (NCA et NMC). Les résultats de l’étude conduiront à diverses configurations de cellules optimisées offrant des performances maximales. Ces cellules pourront être utilisées pour équiper des appareils électroniques ou des véhicules électriques, entre autres. Les configurations obtenues seront donc comparées afin de déterminer lesquelles répondent le mieux à chaque catégorie d’application.

Voir la description complète du projet
Superviseur du corps professoral :

Raynald Guilbault

Étudiant :

Partenaire :

Institut de Recherche Hydro-Québec

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Utilities

Université :

École de technologie supérieure

Programme :

Accelerate

Granular Jamming-based Mechanism for Robot Fish Actuation

With the advantages of swimming with quiet, compliant, and continuous strokes, soft robot fish have significant potentials to be used in the study of marine life and ocean environment quietly without disturbing marine animals. Our project is to design and build a robot fish that is self-contained and capable of mimicking body kinematics of biological fish in nature. A new actuation mechanism is proposed in this project. It will efficiently transmit the motor power to the continuous oscillation of soft tail to allow the robot fish to maneuver in the water. The actuation’s overall design is like a car engine, but instead, actuated by the motor and filled with granular elastic balls.

Voir la description complète du projet
Superviseur du corps professoral :

Ting Zou

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Engineering

Secteur :

Ocean Tech; Technology

Université :

Memorial University of Newfoundland

Programme :

Accelerate

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