Projets novateurs réalisés

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30156 projets achevés

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Projets par catégorie

Automated Detection and Classification of Adverse Events in Surgery

During surgeries, it is important to keep track of what is happening with the patient, the steps being taken during the surgery by the operating staff, and unforeseen events that occur. All the previous correspond to the surgical workflow. Keeping track of the workflow is essential to achieving a better and safer surgery. In the past, computational tools have been developed to track each step the surgeon takes during the surgery, and dividing the separate surgical phases. However, the adverse events have not been tracked. This project aims to develop computer software capable of detecting adverse events that occur during surgery and classifying their severity. This way, it is expected to assess surgical performance at a faster pace. The advances that are achieved from this internship will improve surgical skills, improve patient outcomes and reduce unnecessary healthcare costs.

Voir la description complète du projet
Superviseur du corps professoral :

Babak Taati

Étudiant :

Partenaire :

Surgical Safety Technologies Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Évaluation de l’impact de l’aménagement forestier sur les paysages forestiers de la Mauricie et de leur susceptibilité aux défoliations par la tordeuse de bourgeons de l’épinette (TBE)

Le dévoilement des plus récent résultats du calcul des possibilités forestières réalisé par le Bureau du Forestier en Chef a permis de constater une augmentation importante des volumes de bois sur pied des essences résineuses sur le territoire de la Mauricie. Ce constat pourrait remettre en question certains des objectifs rattachés aux enjeux écologiques identifiés pour la région précédemment. Il incombe donc de refaire le portrait de la forêt aménagée en Mauricie avec les nouvelles données disponibles et de faire une analyse d’écart avec la forêt naturelle (ou forêt préindustrielle) de la région pour identifier les enjeux écologiques toujours pertinents dans la région, une information très utile pour notre partenaire qui est un acteur important de l’aménagement forestier en Mauricie. De plus, nous évaluerons la susceptibilité du paysage forestier actuelle et future appréhendée à la tordeuse de bourgeons de l’épinette actuellement très présente au Québec.

Voir la description complète du projet
Superviseur du corps professoral :

Christian Messier

Étudiant :

Partenaire :

Industries John Lewis Ltée

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

Université du Québec en Outaouais

Programme :

Accelerate

The impact of correlations on VaR

Energy companies are in the business of turning energy from one form into another. For example, a gas-fired power station turns chemical potential energy stored in the natural gas into electrical energy. A natural gas storage facility allows energy (held in the form of natural gas) to be stored at one point in time and recovered at a later time. A gas pipeline moves energy from one location to another. The result is that the financial risks faced by an energy company involve a large portfolio of spreads – differences between energy prices. These prices will vary stochastically through time, and will typically be related to each other in some way. This project will involve studying those relationships and how they affect specific measures of the risk faced by the company from possible future movements in those prices.

Voir la description complète du projet
Superviseur du corps professoral :

Tony Ware

Étudiant :

Partenaire :

TransAlta Corporation

Discipline :

Mathematics

Secteur :

Utilities

Université :

University of Calgary

Programme :

Accelerate

Generative Models for Financial Time-Series Predictions

The intern will work on applying new advances from the field of Machine Learning to models which make predictions about time-series data. The models have the desirable property modeling the distribution of outcomes in a way that we can sample from, allowing us to account for uncertainty in the model’s predictions. By making more accurate predictions with more accurate gauges of uncertainty, Electronica will be able to construct portfolios which give more desirable risk-adjusted returns to investors.

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Superviseur du corps professoral :

David Kristjanson Duvenaud

Étudiant :

Partenaire :

Electronica AI Inc

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

University of Toronto

Programme :

Accelerate

Toxicopathological Determination of Safe Dose Ranges of Neonicotinoids for Honey Bee Colonies

The ‘gold standard’ mammalian safety toxicopathological tests are very sensitive and reproducible examinations used by veterinary pathologists in the pharmaceutical industry and regulatory agencies to detect sublethal toxic effects of candidate drugs, pesticides and other chemicals in laboratory animals to determine the safe dose range of these medications/chemicals for humans and animals. However, comparable toxicopathological approaches using histopathology have not been developed for honey bees. The purpose of this project is to adapt this mammalian ‘gold standard’ safety evaluation to honey bees and to perform these safety studies on bees to determine the safe dose range for the three most commonly used neonicotinoids in agriculture. As a result, this research has potential to enhance the balance between crop pollination sustainability and crop protection from pests.

Voir la description complète du projet
Superviseur du corps professoral :

Elemir Simko

Étudiant :

Partenaire :

Saskatchewan Canola Development Commission;Saskatchewan Beekeeper's Development Commission

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

University of Saskatchewan

Programme :

Accelerate

COMP1602_Natural Laminar Flow Nacelles Lip in Composite

Turbulence significantly affects the aerodynamic drag of aircraft. Reducing its impact can result in substantial economic benefits to the aerospace industry and to the public, principally in terms of reduced fuel consumption and, therefore, lower operational costs. One of the main causes of turbulence, on an engine nacelle, is the presence of surface imperfections: gaps between metal plates, roughness, ice formations, rivets. This project will examine how these surface imperfections affect the generation of turbulence, and what manufacturing tolerances are required to delay the onset of turbulence, thereby decreasing the aerodynamic drag. This will be achieved through a combination of high fidelity numerical models of the flow over the nacelle, combined with the development of simplified models to be transitioned to the industrial partner.

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Superviseur du corps professoral :

Ugo Piomelli;Jeff Defoe;Jeffrey Defoe

Étudiant :

Partenaire :

Bombardier Aerospace Inc (Montreal, QC);Pratt & Whitney Canada

Discipline :

Engineering

Secteur :

Manufacturing; Transportation and warehousing

Université :

Queen's University; University of Windsor

Programme :

Accelerate

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

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