Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

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.

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Faculty Supervisor:

Raynald Guilbault

Student:

Partner:

Institut de Recherche Hydro-Québec

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

École de technologie supérieure

Program:

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.

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Faculty Supervisor:

Ting Zou

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Ocean Tech; Technology

University:

Memorial University of Newfoundland

Program:

Accelerate

Development of an aligned rolling footgear to reduce seabed impacts of bottom trawl fisheries

Northern Shrimp (Pandalus borealis) and Greenland Halibut (Reinhardtius hippoglossoides) located off the east coast of Nunavut (Arctic Canada) are currently harvested by factory freezer vessels using bottom trawls. This fishery is a major contribution to the territory’s economy. However, bottom trawling is not without its ecological impact. Bottom trawl’s footgear, located below the fishing line and in contact with the seabed to protect the netting and to guide animals into the trawl net, can cause an impact to the seabed. This project will aid in the development of a bottom trawl net with reduced impact by developing an innovative footgear that is aligned with the towing direction and capable of rolling.

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Faculty Supervisor:

Paul Winger

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Life Sciences

Sector:

Aquaculture and Fishing

University:

Memorial University of Newfoundland

Program:

Accelerate

A deep learning system to extract and structure key information from academic written texts

To further the speed and efficiency of knowledge acquisition from academic works, it would be useful to know, at quick glance, key information from the text. In academic works, key information would include named entities and their relationships, arguments, event descriptions, and topics contained in the text.
We propose an automated system to extract the above key information from PDF documents, to then be stored and structured. The stored and structured information would then be able to provide information to a user based on their requests. By building from our previous project, we focus now on the information in the text, rather than the structure. This interdisciplinary project combines natural language processing (NLP), computer vision, human-computer interaction (HCI), computational linguistics, text tokenization and preprocessing, entity extraction, text summarization, hierarchical multi-label classification, and textual logic relationships analysis.

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Faculty Supervisor:

Seok-bum Ko;Roy Ka-Wei Lee

Student:

Partner:

Living Sky Technologies

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Saskatchewan

Program:

Accelerate

Vehicle Dynamics Modelling and Simulation for Use in the Development of a Self-Healing Auto Cyber Security System (SHACS) Proof-of-Concept

Vehicles rely on small computers located in various places. The electronic signals sent between these computers must be dependable. However, currently these signals can easily be hacked which threatens the vehicle and the people in and around it. A project is underway, involving Akimbo Technologies Inc., Solana Networks Inc., and the Carleton University Applied Dynamics Laboratory to develop methods for protecting vehicles from this threat. To support this work, the current project is developing computer programs that can be used instead of real vehicles and drivers to help develop and evaluate these methods. This project will help the industrial partners by allowing them to test their work without the safety risk and expense of doing the tests in real vehicles with real drivers. Expertise in this area will improve safety for Canadians and lead to economic growth as this work turns into commercial products and opportunities for the industrial partners.

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Faculty Supervisor:

Robert Langlois;Fidel Khouli

Student:

Partner:

Akimbo Technologies Inc;Solana Networks

Discipline:

Engineering

Sector:

Transportation and warehousing

University:

Carleton University

Program:

Accelerate

Critères de conception d’une unité mobile detraitement des lampes au mercure

Considérant leur vie utile, les lampes au mercure offre, comparativement aux lampes à incandescence, un
bénéfice environnemental. Cependant, il devient nécessaire de récupérer et traiter les lampes en fin de vie afin
d’une part, minimiser les rejets de mercure dans l’environnement et, d’autre part, favoriser le recyclage des sousproduits.
Dans ce contexte, le projet vise à concevoir une unité mobile de traitement. Cette conception repose
sur l’établissement de scénarios types de service de traitement (volumes et catégories de lampes; distance; flux
journaliers; etc.) afin d’évaluer les flux massiques et volumiques des matériaux/matières en regard des filières de
recyclage/valorisation potentielles. Les retombées du projet vise à répondre aux attentes de la nouvelle
règlementation associée à la responsabilité élargie des producteurs tout en favorisant la mise en oeuvre d’une
solution économiquement viable en minimisant le transport de grands volumes de lampes au mercure et propice
à améliorer l’offre de service du partenaire.

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Faculty Supervisor:

Mathias Glaus

Student:

Partner:

MultiRecycle

Discipline:

Engineering

Sector:

University:

École de technologie supérieure

Program:

Accelerate

Prédiction d’un indicateur de performance de ligne de production

Le passage des entreprises à l’industrie 4.0 à pour but de propulser la productivité, réduire considérablement
les coûts de production et d’améliorer grandement la qualité des produits. Le projet a pour but de démontrer à
l’entreprise partenaire que l’utilisation de modèle prédictif d’apprentissage machine afin de prédire un indicateur
de performance (KPI) de ligne de production en fonction des données collectées en temps réel grâce à des
capteurs à chaque étape du processus de production, pourrait grandement optimiser les procédés de production.
En effet, la prédiction d’indicateur de performance de ligne de production, selon diverses variables anticipables
comme l’opérateur en fonction, la température environnante, le fournisseur de matériaux, le type de matériaux et
etc. permet de repérer les meilleurs scénarios de production et à l’équipe de gestion de se servir de ceux-ci pour
améliorer la productivité et l’utilisation des actifs de façon optimaux.

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Faculty Supervisor:

Jean-François Plante

Student:

Partner:

Sidel Canada Inc

Discipline:

Computer science

Sector:

Manufacturing; Retail trade

University:

HEC Montréal

Program:

Accelerate

NMR Characterization of amyloid beta peptideinteractions with lead compound

This project aims to obtain detailed information on how a potential Alzheimer drug helps to inhibit the
formation of the toxic species associated with the disease. Utilizing magnetic resonance technologies,
we seek to characterize how the drug fits into the toxic species. The steps consist of making the toxic
species, combining it with the drug and generating a structure of the drug bound to the substance.
Knowledge of the shape and arrangements of groups between the species and drug will be used by
Treventis to rationally modify the drug to make it more effective.

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Faculty Supervisor:

Ray Syvitski

Student:

Partner:

Treventis Corporation

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Reduction of Software Rework Through theMitigation of Cognitive Biases

The work proposed will lead to mechanisms for reducing or eliminating selected Cognitive Biases – automatic, unconscious elements of the human reasoning system known to cause decision errors. While Cognitive Biases have been studied for decades, there has been almost no research into how to reduce or eliminate their effects. The end goal of the proposed work is to identify, for selected Cognitive Biases, mechanisms that reliably, simply and cost-effectively accomplish such ‘de-biasing’ in a workplace setting. The focus for the proposed work is the software engineering industry, where very high defect rates are endemic; we believe that by focusing on the psychology of the human beings that create these defects, we will bring a new kind of mechanism to bear on this most problematic situation. We expect to produce several workshops to communicate and train practitioners in the resultant interventions.

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Faculty Supervisor:

Philippe Kruchten

Student:

Partner:

Clarrus Consulting Group Inc

Discipline:

Computer science

Sector:

University:

The University of British Columbia

Program:

Accelerate

Autonomous next generation wireless communication network optimization

Since the mid 1980s, moving access points, such as Wi-Fi, closer to network devices has been the largest contributer to improved data rates and this trend continues, but its scope is more difficult for rural internet service providers. The second technique is from the choice of the assigned spectrum and how this choice relates to other techniques to improve data rates. The third technique is from a combination of advanced signal processing techniques, involving antennas, beamforming, the allocation of available bandwidth and sampling the radio channels. Furthermore, the sampling of the radio channels is now possible by the use of UAVs which can be used for both planning and assessment of real-time operations.

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Faculty Supervisor:

Brent Peterson

Student:

Partner:

Xplornet

Discipline:

Engineering

Sector:

Information and cultural industries

University:

University of New Brunswick

Program:

Accelerate

Améliorer la qualité des sols et augmenter le stockage du carbone dans les aménagements horticoles urbains

Les sols en milieu urbain sont bien souvent oubliés. Pourtant, ils remplissent un grand nombre de services écologiques à la population : ils contribuent à supporter une biodiversité aérienne et souterraine abondante, à recycler les éléments nutritifs et à filtrer l’eau, ainsi qu’à réduire les îlots de chaleur et lutter contre les émissions de gaz à effet de serre en stockant du carbone. Dans le cadre de ce projet, nous tenterons de voir comment des plantes vivaces retrouvées dans les aménagements horticoles urbains contribuent à améliore la qualité des sols urbains, à accroître l’activité et la biodiversité des communautés microbiennes de ces sols et à augmenter les quantités de carbone et d’azote stockés dans le sol et la plante. Les résultats permettront de mieux outiller l’organisme partenaire, LIEU, pour conseiller les décideurs sur comment mettre en place des pratiques écologiques en considérant la santé des sols comme un élément clé assurant le développement durable des villes.

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Faculty Supervisor:

Vincent Poirier

Student:

Partner:

LIEU - Laboratoire d'intégration de l'écologie urbaine

Discipline:

Earth science

Sector:

Sustainability & the Environment; Environmental Science and Technology; Agriculture and Food

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Plasmonic Nanoparticle Enhanced Seawater Desalination

To combat the growing need for accessible freshwater sources across the globe, new technologies that don’t rely on fossil fuels are ideal. Additionally, these technologies should be easily implemented in the developing communities that need them most for lower cost than the current options. The purification of seawater, also known as desalination is a highly attractive method due to the large amount of easily accessible saltwater, though current methods are highly fossil-fuel dependent. A new class of materials to be investigated, known as plasmonic nanoparticles, offer a unique solution to take the process off the grid. Such nanomaterials can effectively absorb sunlight and convert it directly to localized heat, making the overall conversion of water to steam using solar energy much more efficient. Creating devices based on this idea would benefit all parties involved to stand-out as innovators in the renewable technology sector.

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Faculty Supervisor:

Mita Dasog

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Physics

Sector:

Ocean Tech; Nanotechnology; Sustainability & the Environment

University:

Dalhousie University

Program:

Accelerate

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