Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

Assessing cognitive load in cochlear implant users through short-term storage of speech

Cochlear implants are surgical implanted devices that allow deaf people to recover some form of hearing and understand speech, but current devices are limited, and the consequences of these limitations have not been fully explored. For example, there is a growing consensus that hearing loss interacts with cognitive systems. Yet, relatively little is known about the cognitive burden of CI users. The present project will develop a robust tool to measure the cognitive effort induced by the CI, and point towards the poor representation of voice pitch as one important cause for the increased listening effort and the reduced short-term memory. We eventually aim to develop a pitch-exaggeration algorithm in pseudo-real-time, which could be implemented by the partnering industry Oticon in the design of future CI processors.

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Faculty Supervisor:

Alexandre Lehmann;Mickael Deroche

Student:

Partner:

Oticon Canada

Discipline:

Physics

Sector:

Manufacturing; Wholesale trade

University:

McGill University

Program:

Accelerate

Identification des caractéristiques du comportement dynamique des roues de turbine hydroélectrique par l’étude des régimes transitoires

Ce projet a pour but développer un outil pour améliorer nos capacités à prédire la nature et les amplitudes des sollicitations mécaniques sur une roue de turbine hydraulique type Francis pour les régimes stationnaire et transitoire. Plus spécifiquement, le projet a pour objectif le développement et la validation d’un modèle de calibration et d’interpolation spatiale entre les données issues des simulations numériques (EF) et les données issues des mesures in situ afin d’obtenir une estimation cohérente des niveaux de contraintes prenant en compte les deux types de données. Les résultats d’un tel modèle sont exploités dans un modèle probabiliste pour estimer la fiabilité résiduelle de la roue.

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Faculty Supervisor:

Souheil-Antoine Tahan;Jérôme Antoni

Student:

Partner:

Institut de Recherche Hydro-Québec;ANDRITZ Canada Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

École de technologie supérieure

Program:

Accelerate

Mini manche haptique actif

Exonetik est une jeune entreprise en pleine croissance qui développe une nouvelle technologie d’actionneurs mécanique à l’aide d’un fluide magnétorhéologique permettant d’imiter les mouvements de l’être humain. L’objectif général du projet de recherche est d’étudier le potentiel technologique de ces actionneurs pour l’application d’un mini manche haptique. Le projet a pour objectif spécifique de réaliser la modélisation et l’asservissement du prototype de mini manche conçu et fabriqué au préalable. Le stagiaire assurera ces deux activités en développant et en testant l’asservissement dudit mini manche pour reproduire les effets de ressort/amortisseur, d’un mur virtuel et de vibrations au niveau du manche.
L’objectif final de ce projet pour l’entreprise est de faire essayer le mini-manche à de potentiels utilisateurs d’abord dans le secteur de l’aérospatiale, puis ensuite d’extrapoler les résultats vers d’autres applications dans divers secteurs.

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Faculty Supervisor:

Alain Berry

Student:

Partner:

Exonetik Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Méthode de prédiction des heures d’arrivée dans les réseaux de transport collectif par bus

Plusieurs sociétés de transport collectif par bus disposent maintenant de système de positionnement des véhicules en temps réel, ce qui permet d’améliorer le suivi de l’opération et de présenter des horaires en temps réel aux voyageurs. Cependant, il demeure difficile de bien prévoir les heures d’arrivées des bus aux arrêts, notamment en mode dégradé, en cas de retard important ou de panne. Les conditions météorologiques, l’application des normes de service, le comportement des conducteurs, la géométrie du réseau et l’achalandage sont autant de facteurs pouvant influencer l’heure d’arrivée. Dans ce projet, nous utiliserons des méthodes statistiques d’apprentissage qui se baseront sur les données historiques, couplées aux conditions en temps réel et autres facteurs, pour prédire les heures d’arrivée des bus sur les lignes d’autobus de la Société de transport de Sherbrooke, qui sera utilisée comme terrain d’expérimentation. TO BE CONT’D

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Faculty Supervisor:

Martin Trépanier

Student:

Partner:

Civilia groupe-conseil

Discipline:

Engineering

Sector:

Transportation and warehousing

University:

École Polytechnique de Montréal

Program:

Accelerate

Mid-InfraRed Integrated Optoelectronics on Silicon

The global acceleration of the information technology creates pressing needs for cost-effective broadband, high-density, and high-speed data interconnections for high-performance, energy-efficient signal processing and computing. This increasing demand will push the limits of the electrical interconnects by forcing the transmission distance to shrink, which limits architectures and exacerbates heat dissipation challenges as a result of forcing hot processors closer and closer together. Optical interconnections via silicon photonic platforms have recently been recognized as critical to overcome this technological bottleneck. One of the key components of silicon photonics is the integrated light source which serves as the electrical to optical converter. The on-chip light sources are crucial to achieve a higher integration density, higher scalability, and a better energy efficiency. However, the fact that Si is an indirect bandgap semiconductor and thus a poor light emitter has been a major hurdle facing the development of silicon photonics.

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Faculty Supervisor:

Oussama Moutanabbir

Student:

Partner:

Two-Photon

Discipline:

Engineering

Sector:

Manufacturing

University:

École Polytechnique de Montréal; Polytechnique Montréal

Program:

Accelerate

Improvement of Operation Efficiency in WRHA Hemodialysis Units Using Simulation Modeling

Hemodialysis (HD) Units are the ambulatory care clinic for patients with the chronic kidney disease. There are 136 beds/chairs for over 400 patients per day at 3 HD facilities in Winnipeg. Inefficient workflows were identified from the previous study. This research will search solutions using methods of the system modeling and simulation to identify areas of improvement for the renal program workflows. Simulation modeling will be used as a cost-effective tool to examine HD operations, identify barriers to workflows, and test alternative solutions. Due to the complexity of healthcare systems, decisions need to be much more evidence-based and made in near-real-time conditions. Simulation model will help analyzing and identifying these types of variability in care operations. The research solution can be applied to other Canadian HD centres.

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Faculty Supervisor:

Qingjin Peng;Trevor Strome

Student:

Partner:

Chronic Disease Innovation Centre (CDIC)

Discipline:

Engineering

Sector:

Information and Communications Technology; Health and Related Sciences & Technology; Public Service, Policy, and Governance

University:

University of Manitoba

Program:

Accelerate

Feasibility and Impact of Delivering Supervised Worker, Occupation, and Environment Health and Wellness Services to Offshore Oil and Gas Platforms: A Response to the Wells Inquiry

The project is feasibility and impact exploration of delivering supervised worker, occupation, and environment health and wellness services to offshore oil and gas platforms. Participants are engaged in a detail study to provide useful results that can serve as a response to the Wells Inquiry.

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Faculty Supervisor:

Guang Sun

Student:

Partner:

Medisys Corporate Health

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Métaheuristiques pour la planification de la production hydro-électrique à court-terme

La planification de la production hydro-électrique à court-terme concerne les 10 à 30 prochains jours, et cherche à minimiser l’utilisation de la ressource (l’eau) tout en respectant à chaque heure la charge électrique et de nombreuses contraintes. Celles-ci concernent la sécurité des équipements, les inondations potentielles, les maintenances… De plus, l’environnement de planification est très incertain, de nombreux paramètres étant aléatoires : météo, demande en électricité, production éolienne, etc.
Il faut donc des méthodes rapides et précises pour ajuster un plan de production à des variations dans les données prévisionnelles, et ce, dans des délais opérationnels (<2 min). Nous proposons de développer une telle méthode d’ajustement, ainsi qu’une méthode permettant de définir des plans plus robustes aux aléas.

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Faculty Supervisor:

Michel Gendreau

Student:

Partner:

Institut de Recherche Hydro-Québec

Discipline:

Mathematics

Sector:

Construction and infrastructure; Professional, scientific and technical services; Utilities

University:

École Polytechnique de Montréal

Program:

Accelerate

Buckling Analysis of Hybrid Composite-Metallic Stiffened Structures

In order to reduce the structural weight and operating cost of the aircraft, hybrid structures composed of composite skins and metallic sub-structures are commonly used as components of the wing and fuselage. The skin temperature change of the aircraft during takeoff and landing causes different amounts of deformation in composite and metallic materials due to their difference in thermal expansion properties. This induces internal loads in such hybrid structures, which need to be considered together with the flight loads when evaluating the structure’s stability. This project aims to analyze the buckling behavior of hybrid composite-metallic stiffened structures under combined thermal and mechanical loading conditions. A fast and reliable computational tool will be developed to assist the design of such hybrid stiffened structures in Bombardier. The developed model and analytical methods will also be applied for similar structures on other commercial and business aircrafts in Bombardier.

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Faculty Supervisor:

Frederick Gosselin;Daniel Therriault

Student:

Partner:

Bombardier Aeronautic Inc (Saint-Laurent, QC)

Discipline:

Engineering

Sector:

Manufacturing; Transportation and warehousing

University:

École Polytechnique de Montréal

Program:

Accelerate

Advanced Learning for Automatic Object Detection and Tracking in UAV Imagery

Recently there has been a growing adoption of Unmanned Aerial Vehicles (UAVs) in many applications. Robust object detection and tracking algorithms are required in many UAV scenarios. However, existing object detection and tracking approaches are not specifically designed for UAV and therefore do not have satisfactory performance in UAV. In this MITACS cluster project, by working with the industrial partner, we will develop a set of improved object detection and tracking algorithms for UAV. In particular, we will tackle the following sub-topics: 1.) weakly supervised object localization; 2.) visual object tracking and anomaly detection; 3.) partial face detection; and 4.) low-resolution object detection. The algorithms will be integrated into the partner’s products, thereby significantly enhancing their competitiveness in the market, and contributing more to Canadian economy and job market.

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Faculty Supervisor:

Rabab Ward

Student:

Partner:

Altumview Systems Inc

Discipline:

Engineering

Sector:

Information and cultural industries; Manufacturing; Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Analyses des communautés microbiennes de la sève d’érable par barcoding moléculaire

Des microorganismes se retrouvent dans la sève d’érable au moment de la récolte et ont un lien avec la qualité du sirop, mais on ne comprend pas encore ce qui fait varier les populations de microorganismes d’un endroit à l’autre et en cours de récolte. Le projet de recherche consiste à identifier les microorganismes qui se retrouvent dans la sève d’érable et de chercher les liens avec différentes caractéristiques des érablières et des sirops d’érables pour mieux comprendre ce qui influence leur présence et éventuellement utiliser cette information pour mieux contrôler la qualité des produits de l’érable.

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Faculty Supervisor:

Marie Filteau

Student:

Partner:

Centre ACER

Discipline:

Life Sciences

Sector:

Agriculture and Food; Life Sciences (not health)

University:

Université Laval

Program:

Accelerate

SEA LETTUCE TO BIOCARBON AND BIOGAS WITH RECOVERY OF NUTRIENTS

Human activity in PEI contributes to over 90% of nitrates in island waterways. These nitrates are responsible for the growth of plants and algae including sea lettuce that chokes ponds and waterways, discolor water and create an anoxic event, which is harmful to the marine ecosystem. The proposed research investigates an integrated process for the conversion of sea lettuce into hydrochar and biogas with recycling of nutrients that could justify the harvesting of sea lettuce. The proposed research will create opportunities for the growth of new industries in the area of harvesting, processing and utilization of final products while providing sustainable solution to growing environmental problem. The system can than be applied to other areas having similar problems, thereby creating additional prospects for exporting know-how.

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Faculty Supervisor:

Bishnu Acharya

Student:

Partner:

Transcontinental International Sales & Services Ltd

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Prince Edward Island

Program:

Accelerate

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