Projets novateurs réalisés

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

31 132 projets complétés

2940
AB
5159
C.-B.
837
MB
685
NL
882
SK
9291
ON
9695
QC
97
PE
601
NB
1161
NS

Projets par catégorie

Extraction automatique d’information pertinente contenue dans des rapports de sites contaminés à l’aide de techniques d’extraction de relations

Les rapports de sites contaminés contiennent une multitude d’informations pertinentes pour les experts en environnement. Ces rapports décrivent les caractéristiques d’un site contaminé et les technologies utilisées pour réhabiliter ce site. L’extraction des informations pertinentes de ces rapports volumineux exige des ressources qualifiées importantes. Ces informations permettent notamment aux experts d’appliquer cette connaissance à de nouveaux sites contaminés et ainsi proposer les meilleures technologies de décontamination tout en tenant compte des derniers développements dans ce secteur.
Le but de ce projet est donc d’extraire l’information de ces rapports non structurés pour en créer une base de connaissances facilement accessible par les utilisateurs. On tentera d’extraire le maximum d’entités (contaminants, concentrations, type de sol, etc.) ainsi que les relations qui les caractérisent à l’aide de méthodes d’extraction d’information performantes.

Voir la description complète du projet
Superviseur du corps professoral :

Luc Lamontagne

Étudiant :

Partenaire :

9581243 Canada Inc

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

Université Laval

Programme :

Accelerate

Improved and predictable bone regeneration using synthetic dicalcium phosphate grafts containing a novel bone anabolic conjugate

Dental implants are commonly used to replace missing teeth. There are several surgical techniques used with bone replacement materials to achieve alveolar bone regeneration. Dicalcium phosphate cements such as monetite, are synthetic materials made very easily and get removed as bone is regenerated within or around them. C3 is a novel drug that is a combination of a bone targeting drug and a bone formation accelerating molecule. When used alone these targeting drugs make the bones brittle as they block the cells that naturally eat bone. Along with this, we have attached the bone formation accelerator but have made a substitute that only affects the bone causing bone regeneration without the undesirable health effects. We are using monetite grafts loaded with C3 drug and testing them in animal models to get more predictable and greater bone formation ultimately allowing in future benefit to millions of patients undergoing dental therapy.

Voir la description complète du projet
Superviseur du corps professoral :

Marc Grynpas;Michael Glogauer

Étudiant :

Partenaire :

Mesentech Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

AVIO 1603: Cosmic radiation In-flight Measurement and real-time analysis for Electronic Systems and passenger protection (CIMES)

Due to increasing miniaturization, future systems will be made of components that are more energy efficient and at the same time more sensitive to external radiation. To ensure that future systems remain protected against cosmic radiation and single events, aircraft and flight systems manufacturers must collect in-flight data for cosmic radiations and develop a global strategy for real-time processing of this data to provide pilots, crew and aircraft operations, with appropriate information to help them make the right decisions in case of unusually high cosmic radiation exposure. AVIO-1603 is intended to develop an on-flight response to the challenge of cosmic radiation.

Voir la description complète du projet
Superviseur du corps professoral :

Yves Audet;Claude Thibeault;Yvon Savaria

Étudiant :

Partenaire :

Bombardier Aeronautic Inc (Saint-Laurent, QC);CMC Electronics Inc (Saint Laurent, QC)

Discipline :

Engineering

Secteur :

Manufacturing; Transportation and warehousing

Université :

École de technologie supérieure; École Polytechnique de Montréal; Polytechnique Montréal

Programme :

Accelerate

Portfolio Strategies under Scenario Optimization

This project concentrates on the scenario optimization method which does not need to make any assumption for the underlying asset distribution and directly incorporate such uncertainty into the objective or constraint functions through stochastic programming. The scenario optimization is performed under different parameters and constraints while Markowitz and Black-Litterman model are taken as the benchmarks to evaluate if the scenario optimization can outperform the traditional methods with the same input exchange-traded funds (ETF) data. The efficient frontier of the portfolio determined by the scenario optimization is shown as well to compare with the traditional methods. A hypothesis test is conducted to see whether we can efficiently map the scenario optimization to Black-Litterman model. RiskGrid Technologies will benefit from participation in the internship as the realization of the approach will be direcly used to improve the services for the customers of RiskGrid Open Eikon App. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Traian Pirvu;David Lozinski

Étudiant :

Partenaire :

RiskGrid Technologies Inc

Discipline :

Mathematics

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

McMaster University

Programme :

Accelerate

Direct Recycling Process of Spent Lithium Iron-phosphate Batteries

Lithium batteries, developed during 80’s, are used more and more as energy sources for electronic devices, hybrid or electric vehicles or other uses. Another application currently in development is the use of lithium batteries to stabilize the energy grid system and energy fluctuations from renewable energy sources such as solar and wind power. Hydro-Québec is developing such large-scale energy storage system based on a lithium battery technology called “Lithium iron-phosphate”, developed at Hydro-Quebec. However, the use of such storage system will eventually generate, after about 10 years of usage, a significant amount of spent batteries. Their recycling will reduce our ecological footprint and embrace the principles of sustainable development. The current research project is aiming to develop a process to recycle the spent lithium to produce fresh material to build new batteries. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

George Demopoulos

Étudiant :

Partenaire :

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

Discipline :

Engineering

Secteur :

Sustainability & the Environment; Clean Technology; Green/Alternative Energy

Université :

McGill University

Programme :

Accelerate

Investigating Ecosystem Change in British Columbia’s Coastal Habitats

Nearshore marine ecosystems are undergoing change, with ecological, economical and cultural ramifications. Yet, we lack empirical understanding and observation of the nature of this change, over long periods of time and across continental coastlines. Additionally, the drivers of change in coastal systems are numerous: climatic forcing, predator recovery, and development of foreshore areas, amongst others. As such, deciphering the agents of change remains challenging. A clear need exists to determine the relative importance and magnitude of these agents of change in order to predict and mitigate change. Finally, resolving the factors that mitigate change, including species interactions, biodiversity and ecosystem processes, can also be complex. However, these needs and knowledge gaps can be addressed through synthetic research of nearshore marine species, communities and ecosystem-level attributes. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Anne Salomon;Laura Wegener Parfrey;Mary O’Connor;Patrick Martone;Christopher Harley

Étudiant :

Partenaire :

The Hakai Institute, part of the Tula Foundation

Discipline :

Earth science

Secteur :

Sustainability & the Environment; Other

Université :

Simon Fraser University; The University of British Columbia

Programme :

Accelerate

Predicting real-world attention with physiology

It is estimated that the average person spends up to 50% of their waking hours thinking about things other than what they are presently doing (i.e., mind wandering). This internal form of distraction along with its external counterpart (i.e., external distraction) are associated with performance deficits during everyday activities, such as reading or driving. Moreover, individuals are often unaware that their mind has wandered, which can lead to absentminded errors. Depending on the context, the consequences of distraction can range from reduced productivity to injury or even death. Thus, the economic and human costs associated with distraction represent an enormous burden for Canadians. The proposed research project seeks to identify the physiological signature of distraction in its endogenous and exogenous forms by measuring subjective, behavioural, and physiological changes linked to attention during everyday tasks (e.g., driving simulation, reading). TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Amir Raz

Étudiant :

Partenaire :

9617094 Canada Inc

Discipline :

Sociology

Secteur :

Manufacturing

Université :

McGill University

Programme :

Accelerate

The Future of Robots in Factories

Robots are increasingly seeing use in manufacturing. However, current robot technology is not sufficient to perform all tasks. Researchers have proposed using human-robot collaborations to exploit robots’ ability to do repetitive and boring jobs and the ability of human workers to perform fine-motor skills in unstructured environments.
In the proposed research, we consider algorithms to improve efficiency while maintaining safety. We consider robot-tohuman and human-to-robot handovers, intuitive control schemes, human-position sensing and robot response to human position, as well as behaviours that facilitate robots assisting in assembly such as bin-picking and two-handed coordination for assembly.
We are building the algorithmic fundamentals for an efficient, safe, and enjoyable collaboration between robots and factory workers.

Voir la description complète du projet
Superviseur du corps professoral :

Machiel Van der Loos;Elizabeth Croft

Étudiant :

Partenaire :

Istuary Innovation Labs Inc (Vancouver, BC);Postmates

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Transportation and warehousing

Université :

The University of British Columbia

Programme :

Accelerate

Investigation of magma conduits and their relationships to Cu-Pd mineralization at W-Horizon of the Marathon deposit, ON, Canada

Copper and palladium (Cu-Pd) mineralization at the Marathon Deposit are associated with gabbro rocks. It is fundamentally important to be able to distinguish among the different types of gabbros, because only those of the Marathon Series are host to mineralization. This is accomplished through logging drill core, whole rock geochemistry and mineralogy. Mineralization at the W Horizon (the highest grade mineralization at Marathon) is believed to have formed in a conduit system (flowing magma) but the distributions of gabbros in W Horizon need to be determined in order to develop a 3D model, which can then be applied to guide future exploration. The goal of the current study is to develop a 3D model of the W Horizon. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Robert Linnen;David Good

Étudiant :

Partenaire :

Stillwater Canada Inc

Discipline :

Earth science

Secteur :

Mining

Université :

Western University

Programme :

Accelerate

AI-based Machine-Learning Trading Algorithms

EquitySoft Investments is a private wealth management firm in Vancouver BC specialized in machine-learning trading algorithms. Our Mitacs internship’s objective is to determine which machine learning system works best under certain financial conditions using our proprietary trading algorithms. EquitySoft benefits from this research by being able to leverage expertise on applied machine learning to AI-based wealth management methods; this research will help EquitySoft build its competitive edge as we are committed in the long-term to building and/or improving on new kinds of artificial intelligence methods for wealth management.

Voir la description complète du projet
Superviseur du corps professoral :

Michael P Friedlander

Étudiant :

Partenaire :

EquitySoft Investments Valuations Inc

Discipline :

Computer science

Secteur :

Finance and Insurance

Université :

The University of British Columbia

Programme :

Accelerate

The impact of milk plane of nutrition and starch digestion of the solid diet on adaptations of the gut during weaning in dairy calves

Calves in dairy production systems have been traditionally fed low amounts of milk to encourage solid feed intake which is thought to minimize stress during weaning. It is unclear how feeding an elevated amount of milk pre-weaning and the digestibility of the solid feed has on gut health and function in dairy calves – which is of great interest to Cargill Animal Nutrition Canada. Therefore the objective of this project is to determine how plane of milk nutrition and starch digestion in solid feed impact dairy calf gut development and health during weaning. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Michael Steele

Étudiant :

Partenaire :

Cargill Limited

Discipline :

Life Sciences

Secteur :

Agriculture; Manufacturing

Université :

University of Alberta

Programme :

Accelerate

Image Style Classification and Its Application on User Engagement

In this project, we will apply machine learning to perform image style classification. We will build a system that uses image style classification to increase user engagement in an eCommerce platform setting. We will study the effects of user preferences for particular image styles on their engagement with the platform.
Image style classification is the task of categorizing an image based on attributes such as composition style (e.g., minimal, geometric, etc.), atmosphere (hazy, sunny), or colour (pastel, bright). Several machine learning techniques that perform automatic image style classification have been proposed recently. We will create a new large-scale dataset of images and critically evaluate the different techniques.
We hypothesize that individual users have a consistent preference for particular image styles, and that this fact can be used to increase user engagement using an automatic image style classification system. A rigorous user study will be conducted to test this hypothesis.

Voir la description complète du projet
Superviseur du corps professoral :

Ravin Balakrishnan;Matt Medland

Étudiant :

Partenaire :

ContextLogic Technologies Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

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Mitacs — Retour sur innovation

Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.