Projets novateurs réalisés

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

29 670 projets achevés

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Projets par catégorie

Ciena Environment for Network Innovation

The Ciena Environment for Network Innovation (CENI) is a research project at Ciena which looks in to future computer communications networks with special focus on increased capacity (bandwidth) and control (SDN, or Software Defined Networks). This project operates an international testing network that connects Ciena’s Ottawa research facility to university based network researchers in Chicago, Baltimore, Amsterdam and San Fransisco. Researchers at these locations combine efforts with Ciena to build new, higher capacity, flexable, programamble networks needed to deal with the ever dramatic increase in Internet enabled devices.

Voir la description complète du projet
Superviseur du corps professoral :

Chung-Horng Lung

Étudiant :

Partenaire :

Ciena Corporation (Ottawa, ON)

Discipline :

Engineering

Secteur :

Information and Communications Technology; Technology; Education

Université :

Carleton University

Programme :

Accelerate

Analysis to Facilitate Electric Public Transportation Demonstration Projects in the Canadian Urban Transit Research & Innovation Consortium (CUTRIC)

Battery electric busses (BEBs) are a promising emerging technology to replace the diesel buses currently the mainstay of public road transportation. Diesel buses contributed significantly to both climate-change related emissions, as well as local air quality issues. This project is examining a number of key issues associated with BEB adoption, in the context of a Canada-wide trial of BEBs. The high power demands of charging BEBs will be looked at in concert with energy storage on the chargers, to avoid high electricity costs and local electricity grid impacts. An evaluation of BEBs relative to ‘standard’ trolley buses with overhead power lines as used by TransLink in BC will be carried out. A quantification of the cap-and-trade system in Ontario with respect to BEB rollout will also be conducted.

Voir la description complète du projet
Superviseur du corps professoral :

Curran Crawford;Ned Djilali

Étudiant :

Partenaire :

Canadian Urban Transit Research and Innovation Consortium (ON)

Discipline :

Engineering

Secteur :

Transportation (excluding aerospace); Energy and Utilities; Public Service, Policy, and Governance

Université :

University of Victoria

Programme :

Accelerate

The Challenges of Curating Latin American Cinema in the 21st Century

Curatorial studies is a well-established field of research in the visual arts. However, curating and programming are probably among the most understudied areas in film and media scholarship. While I participate in defining the official selection of Latin American movies for the 2017 edition of the Toronto International Film Festival, I will gather tools to attempt answering the following questions: Which films are prioritized for exhibition and why? How can a film festival contribute to the development of ethnic inclusions? My goal is not only to contribute new academic knowledge to the field of Latin America film programming but also to encourage new appreciations of this region’s audiovisual culture among TIFF’s audiences, which could potentially raise the number of people interested in attending the Latin American section’s screenings.

Voir la description complète du projet
Superviseur du corps professoral :

Victoria Ruetalo

Étudiant :

Partenaire :

Toronto International Film Festival Inc

Discipline :

Sociology

Secteur :

Information and cultural industries

Université :

University of Alberta

Programme :

Accelerate

Improving Computation and Evaluation of Isogenies Over Supersingular Elliptic Curves

Cryptography allows to achieve the privacy of conversation between communicating parties by means of encryption. In the core of many cryptosystems lie mathematical problems that are difficult to solve. However, many of these problems, though intractable to attacks carried through electronic computers, are vulnerable to quantum computer attacks. ISARA is a security solutions company that offers quantum-resistant products. Improving their underlying algorithms is crucial to achieve the desired efficiency in performance. The goal of this project is to improve the cryptosystem based on isogenies of supersingular elliptic curves. The research will focus on the investigation of the techniques to improve the computation and evaluation of isogenies.

Voir la description complète du projet
Superviseur du corps professoral :

Cameron L Stewart

Étudiant :

Partenaire :

ISARA Corporation

Discipline :

Mathematics

Secteur :

Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Accelerate

Extracting supplier information from the web

Using web crawling technology in coordination with state of the art machine learning techniques, the project aims to mine useful, structured information about the world’s suppliers from the web. Recent advances in artificial intelligence have increased the viability of such autonomous systems for extracting coherent information from arbitrary human-produced content. By leveraging these technologies, our goal is to build improved supplier discovery and recommendation systems. Such systems would enable manufacturers to meet the right suppliers faster, thus putting their products on the market sooner. The methods and processes we will develop might be transferable to different text mining tasks on other subjects as well.

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Superviseur du corps professoral :

Frank Rudzicz

Étudiant :

Partenaire :

Tealbook

Discipline :

Computer science

Secteur :

Technology; Commercial Services; Information and Communications Technology

Université :

University of Toronto

Programme :

Accelerate

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.

Voir la description complète du projet
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.

Voir la description complète du projet
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

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