Projets novateurs réalisés

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

30156 projets achevés

2861
AB
5059
C.-B.
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projets par catégorie

Young Voters: Combining survey analysis with Twitter data

Why do young Canadians not vote at high levels in elections? Are young Canadians simply apathetic and disengaged, or are they finding new ways to participate in Canadian democracy? What role do the Internet and social media play in youth political engagement? This project responds to these questions, drawing on an innovative research design that combines responses to a survey directed at young Canadians during the 2015 federal election, and analysis of how 133 of those survey respondents used Twitter as a forum for political participation before, during and after the election. The project will provide the research intern with practical, hands on experience using cutting-edge IBM analytics tools, and the opportunity to spend time on the IBM campus building a research and professional network.

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Superviseur du corps professoral :

Elizabeth Dubois;Amanda Clarke

Étudiant :

Partenaire :

IBM Canada Ltd

Discipline :

Sociology

Secteur :

Manufacturing

Université :

University of Ottawa

Programme :

Accelerate

Bare glass: electro-optic integrated circuits for a software defined networking capable Tbit/s transceiver

The only constant in communications networks is change. Software defined networking (SDN) and elastic optical networking (EON) technologies enable adaptation to change but their implementation is impeded by the rigidity of network infrastructure and specifically the optical transport layer. Analogous to the term ‘bare metal’ used to describe commodity electronics, ‘bare glass’ photonics technology is need be developed so that all network functions electronic or optical are software defined. This project will contribute to this goal by demonstrating a software defined networking elastic optical network capable transceiver enabled by emerging universal linear coherent optical systems technology. The partner company will use the results of this project to inform its > 100 Gbit/s product development plan.

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Superviseur du corps professoral :

Karin Hinzer

Étudiant :

Partenaire :

D & T Photonics

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Ottawa

Programme :

Accelerate

Comparative effectiveness of prophylactic therapies for necrotizing enterocolitis in preterm infants: a network meta-analysis of randomizedtrials

Necrotizing enterocolitis (NEC) is the most common and serious intestinal disease among premature infants. It happens when tissue in the small or large intestine is injured or begins to die off. This causes the intestine to become inflamed or, in rare cases, develop perforation. It is associated with significant mortality and morbidity in preterm neonates. Current literature on prevention of NEC lacks direct and indirect comparisons of available therapies. Using state-of-art methods (e.g. network meta-analysis) I intend to compare relevant preventive therapies and find out if there is any difference among them considering patient important outcomes. The partner has relevant expertise in a number of our interventions of interest, including formula milk with arginine, glutamine, prebiotics and probiotics. We will work with them to generate our nodes to be included in the network meta-analysis, particularly for out interventional analysis (formula with and without arginine, glutamine, prebiotics, probiotics) and class analysis (formula vs mother’s milk).

Voir la description complète du projet
Superviseur du corps professoral :

Bradley Johnston

Étudiant :

Partenaire :

Nestle Canada Inc

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

McMaster University

Programme :

Accelerate

Scenario optimization for robo-advisory analytics.

In recent years, improvements in technology provide the opportunity for investors to use computer algorithms to produce low-cost guidance on possible portfolio investment mixes and strategies. This project is directed at the research and development of one such “Robo- Advisor” algorithm based on forward-looking scenario optimization, in order to determine the efficacy of the strategy. Here optimal portfolios are selected based on investor’s views on future scenarios, goals and risk tolerance. Given an investor’s goals, optimal portfolio selection under various risk constraints will be compared to determine the trade-off between risk and reward in achieving desired goals. This approach will be tested with portfolios of ETFs, and compared to some of the more widely used approaches that are based on the historical average and variance of returns.

Voir la description complète du projet
Superviseur du corps professoral :

David Lozinski

Étudiant :

Partenaire :

RiskGrid Technologies Inc

Discipline :

Mathematics

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

McMaster University

Programme :

Accelerate

Waterfowl nest success in the Western Boreal Forest: Does industrial development alter predation rates?

Our research will investigate changes in duck populations relative to resource development in Alberta’s western boreal forest (WBF). Specifically, we will investigate changes in duck nest success and predator communities across a gradient of
resource development. Resource development is rapidly increasing in Alberta and it has been implicated in the population decline of some wildlife species, including caribou. The infrastructure required by resource development results in habitat
fragmentation that can facilitate the movement of predators on the landscape, which may increase predator population size or foraging efficiency. Therefore, we hypothesize that resource development increases the rates of duck nest depredation. We will be able to use the data collected from this research to make predictions about future duck population changes relative to landscape change. Our results will test and inform key management assumptions currently made by DUC, and benefit waterfowl management and landscape planning for ducks in Alberta.

Voir la description complète du projet
Superviseur du corps professoral :

Brad Fedy

Étudiant :

Partenaire :

Ducks Unlimited Canada (MB)

Discipline :

Life Sciences

Secteur :

Natural Resources; Sustainability & the Environment; Life Sciences (not health)

Université :

University of Waterloo

Programme :

Accelerate

Development of Strongly Curved Composites for High Power, High Frequency Ultrasound Applications

Currently, Daxsonics is developing three similar ultrasound devices for use by a third party in one of their therapy systems. The goal of this project is to develop a single prototype ultrasound device which could perform the same task as the three currently in use. Having to fabricate one ultrasound device instead of three is beneficial to the third party as it allows a reduction in overall cost of manufacturing. The benefit to Daxsonics is that the prototype can be used to as a stepping stone to pitch a modified fabrication agreement between the two companies with monetary benefit to both.

Voir la description complète du projet
Superviseur du corps professoral :

Janie Wilson

Étudiant :

Partenaire :

Daxsonics Ultrasound Inc.

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology; Technology; Advanced Manufacturing

Université :

Dalhousie University

Programme :

Accelerate

Predictive Analytics and Applications for Clinical Support in Orthopaedics

Nova Scotia is one of the oldest demographics in Canada, with increasing rates of total knee arthroplasty (TKA), yet the identification of high-risk surgical TKA candidates prior to surgery at a patient-level remains inconclusive, limiting our ability to improve care management. The objective of this research is to explore Nova Scotia’s rich and comprehensive research and clinical databases related to osteoarthritis and TKA, and identify linkages between patient-specific factors, treatment options, and health outcomes, through personalized medicine analytical modeling. The proposed result will be the development of a decisions support toolsets capable of aligning patient and surgeon expectations, identifying patients that might benefit from an altered treatment strategy, and improving patient outcomes, overall. The project will be conducted in collaboration with Dalhousie University and T4G Limited, to develop a viable clinical decision support tool with various applications in orthopaedics, and scalability amongst diverse clinical practices.

Voir la description complète du projet
Superviseur du corps professoral :

Janie Wilson;Michael Dunbar

Étudiant :

Partenaire :

T4G Ltd

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Accelerate

Developing Prediction Models on London Stock Exchange (LSE) Equitiesand Indicies using Microsoft Azure Machine Learning and Data Mining

I am to import ten year’s worth of amassed historical data on news events, price movement of equities and public sentiment metrics to Microsoft Azure platform for study and analysis through the latest Data Mining techniques with an Economics point of view to uncover the hidden correlation and casualty between events and price movement of global markets in multiple timeframes (three hours, daily, weekly, monthly and yearly). Predictive models based on the studies will be developed, compared, evaluated, and incorporated into industry partner’s website as real-time market news analysis engine to be offered as a paid service.

Voir la description complète du projet
Superviseur du corps professoral :

Fred Popowich;Apala Guha

Étudiant :

Partenaire :

EOTPRO Developments Inc

Discipline :

Computer science

Secteur :

Finance and Insurance

Université :

Simon Fraser University

Programme :

Accelerate

Investigating the use of Virtual Reality and Augmented Reality for Digital Content Creation with freehand 3D Sketching

The project involves conducting a study to evaluate human performance in executing simple drawing tasks like drawing curves and lines from various directions. The study will help ascertain the accuracy and ergonomic aspects of 3D drawing. We will then use the results of the study to design a 3D sketching system combining augmented reality glasses with traditional drawing tablets. The tablet can provide a physical constraint to aid drawing tasks while also reducing the amount of fatigue the artist faces. Autodesk will gain invaluable insight into 3D drawing and users’ response to content creation tools in an immersive environment, which will help Autodesk’s R&D and engineering teams develop products for users wishing to draw, paint, create, or animate using this evolving technology.

Voir la description complète du projet
Superviseur du corps professoral :

Karan Singh

Étudiant :

Partenaire :

Autodesk

Discipline :

Engineering

Secteur :

Information and Communications Technology; New and Digital Media; Technology

Université :

University of Toronto

Programme :

Accelerate

A GIS tool for identifying and optimizing road access and transmissioninterconnection for generation resource options

Renewable energy resources, such as run-of-river hydro and wind, are often located in remote areas unserved by existing roads and electricity transmission. In order for these resources to be developed, this supporting infrastructure must be built. This project will wind a way to determine the best road and transmission connection options for different potential renewable energy projects in the early planning stages. This will enable better estimates of project cost before an investment decision must be made. These estimates will be useful in determining which projects to develop to meet future energy needs. The method developed in the project will also be extensible to work in combination with other planning activities.

Voir la description complète du projet
Superviseur du corps professoral :

Andrew Rowe

Étudiant :

Partenaire :

BC Hydro (Vancouver, BC)

Discipline :

Engineering

Secteur :

Utilities

Université :

University of Victoria

Programme :

Accelerate

Simulation thermomécanique des barres pour hydro alternateurs etcaractérisation des interfaces

Les courants très élevés circulant dans les enroulements des grandes machines tournantes utilisées dans les centrales hydro-électriques entraînent la génération d’une température élevée au niveau du cuivre ainsi que du ruban isolant. Ces températures élevées entraînent à leur tour des contraintes mécaniques dues aux contractions et dilations des matériaux lesquelles peuvent mener à des fissurations du matériau isolant. Le but de ce projet est de modéliser sur une barre d’alternateurs hydro-électrique ces contraintes thermo-mécaniques survenant lors des essais de cyclage thermique. Pour ce faire, une simulation par éléments finis sera effectuée à l’aide d’un logiciel adapté à ce type de simulations.

Voir la description complète du projet
Superviseur du corps professoral :

Eric David

Étudiant :

Partenaire :

GE Renewable Energy

Discipline :

Engineering

Secteur :

Manufacturing; Other services (except public administration); Utilities

Université :

École de technologie supérieure

Programme :

Accelerate

Étude coût-efficacité de la technologie FreeO2 pour les patients MPOC

Ce projet vise à établir le rapport coût-efficacité de la technologie FreeO2 chez les patients MPOC (maladie pulmonaire obstructive chronique) hospitalisés suite à une exacerbation. La technologie FreeO2 est un nouveau dispositif d’oxygénation
des patients lors de leur séjour à l’hôpital. En utilisant une titration automatique du débit d’oxygène, il est attendu que les patients resteront moins longtemps sous oxygénation et qu’ils pourront retourner plus tôt à leur domicile. En démontrant que la technologie FreeO2 est plus efficace que la technologie actuelle (réglage manuel du débit), c’est-à-dire qu’elle permet de parvenir aux mêmes résultats cliniques (voire meilleurs) en un délai plus court, des économies de coûts seront alors possibles pour le réseau de la santé au Québec et ailleurs. Dépendamment du prix de vente de la technologie FreeO2, les résultats obtenus par notre étude, permettront aux hôpitaux d’améliorer l’efficience et la qualité de leurs soins et à la compagnie Oxynov de mieux pénétrer le marché.

Voir la description complète du projet
Superviseur du corps professoral :

Thomas Poder

Étudiant :

Partenaire :

OxyNov

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

Université de Sherbrooke

Programme :

Accelerate

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