Projets novateurs réalisés

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

30156 projets achevés

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Projets par catégorie

Rethinking Seafood Production: Developing Sustainable Communities with Land-Raised Fish

Tides Canada strives to connect researchers and initiatives across the Canada to take on tough social and environmental challenges. The program support of Tides Canada will bring high-level research from the three interns under the guidance of Mark Roseland, an expert in sustainable community development. Our collaboration will unveil new resources for Tides Canada’s community based aquaculture projects and provide innovative solutions to implement aquaculture technology with community development as the primary focus.

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Superviseur du corps professoral :

Mark Roseland

Étudiant :

Partenaire :

Nanwakolas Carbon Credit Corporation

Discipline :

Sociology

Secteur :

Agriculture

Université :

Simon Fraser University

Programme :

Accelerate

Load Adaptive Consistency Protocol

In a cloud context, it is important to synchronize the information between nodes of the system. This research looks as existing problems and provides improvements in terms of performance and availability. For that reason, cloud management solutions are needed which will benefit Ericsson with new mechanisms for uniformity of information between nodes. And, the same statement applies to cloud solutions in Canada.

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Superviseur du corps professoral :

Abdelouahed Gherbi

Étudiant :

Partenaire :

Ericsson Canada Inc (Montreal, QC)

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

École de technologie supérieure

Programme :

Accelerate

WebAssembly Evaluation for Software Protection

WebAssembly (WASM) is a new portable size and load-time efficient binary code format designed to serve as a compilation target for the web. WASM enables browsers to compile code bundles and run faster than existing Javascript. It will include both a binary notation, that compilers will produce, and a corresponding text notation, suitable for displaying in debuggers or development environments. WASM is still in early stages of development and has not been evaluated comprehensively. Our objective is to experiment with browser implementations of WASM and investigate its capabilities. We will exploit WASM to evaluate its security offerings and functional specifications for future deployment in applications. We will engage with WASM development team of partner organization to make certain that it has all the capabilities required for deployment. We will also conduct a vulnerability assessment on existing browsers to find out possibility of security threats when WASM is used. Moreover, we will investigate possible impacts to Irdeto’s current software protection technology and make necessary recommendations on evolution strategy and plan to software protection technology in WASM.

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Superviseur du corps professoral :

Mohammad Mannan

Étudiant :

Partenaire :

Irdeto Canada (Kanata, ON)

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Concordia University

Programme :

Accelerate

Recherche-action portant sur l’implantation précoce du Projet Baromètre dans le champ de la santé mentale, en contexte de logement social avec soutien communautaire

En 2012, un regroupement de partenaires intersectoriels de Sherbrooke – oeuvrant à améliorer les conditions et la qualité de vie des personnes itinérantes et/ou souffrant de problèmes de santé mentale – a fondé La Coopérative de solidarité L’Autre-Toît. Tout en offrant des unités de logements sociaux à des personnes vivant une grande précarité résidentielle, l’équipe de l’Autre-Toît accompagne de façon personnalisée les membres (soutien communautaire) et crée des opportunités d’entraide et de soutien mutuel entre ces résidents (animation d’un milieu de vie communautaire). Selon la littérature scientifique, ce type de pratique intégrée apparaît prometteuse et efficace. Or, qu’en est-il dans la réalité ? Ainsi, cette recherche-action visera à implanter et à intégrer, aux pratiques de L’Autre-Toît, un outil numérique de collecte de données – nommé Le Projet Baromètre – dans le but de documenter les effets produits sur la qualité de vie des membres-résidents de l’organisme. Les résultats de cette démarche de recherche permettront de démontrer la pertinence et l’efficacité de ces pratiques novatrices, de même que son effet sur la diminution de la consommation de services publics conventionnels (urgence, hospitalisation, interventions policières, etc.). Par ailleurs, cette recherche-action engagera l’équipe d’intervention dans une démarche d’amélioration continue de leurs stratégies d’action.

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Superviseur du corps professoral :

Paul Morin

Étudiant :

Partenaire :

Coopérative de solidarité l'Autre Toit

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

Université de Sherbrooke

Programme :

Accelerate

Modelling of Spray Droplets in a Liquid Fuel/Air Mixture Using a Sharp Cartesian Method

Improving engine performance, including fuel economy, emissions, and power output, is a very complex issue and still requires further research. Since transportation systems, and specially aircrafts, are typically powered by liquid fuels, the process of fuel/air mixture preparation plays a key role in combustion (i.e., fuel burning). Nonetheless, since fluid properties such as density and viscosity vary by several orders of magnitude across fluid/gas interfaces, accurate modelling are possible only with careful treatment of all important phenomena including large density jumps across fluid interfaces. Therefore, to accurately capture the gas-liquid two-way effects, utilizing an interface tracking method such as the Cartesian method, which has been developed by MEMPHIS group at Inria Research Center, is essential. Utilizing this method, a reliable model for the breakup of droplets will be proposed, which will lead to develop new liquid fuel/air preparation techniques and hence the possibility for more efficient and less pollutant combustion technologies.

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Superviseur du corps professoral :

Madjid Birouk

Étudiant :

Partenaire :

Université de Bordeaux 1

Discipline :

Engineering

Secteur :

Université :

University of Manitoba

Programme :

Globalink Research Award

Robust statistical damage assessment of infrastructures

Structural health monitoring is regarded as the main tool in assessing the functionality of existing structures. The importance of these techniques emerges by considering that failure of an infrastructure results in catastrophic loss. With such techniques, damages in a structure can be detected, before reaching dangerous levels. Those are purely based on measurement data and no structural models are required. In recent years, a statistical framework for damage detection has been developed with significant success on real structures. In order to infer the location of a damage after its detection, a structural model is required. To achieve an efficient damage
localization method, interaction between signal processing specialists at Inria and civil engineering experts at UBC is required. Models of investigated structures will be coupled with the previously developed statistical approach in this research. The objective is to develop the necessary tools to bring damage localization into practice, aiming at a robust method for real applications such as bridges and tall buildings.

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Superviseur du corps professoral :

Carlos Ventura

Étudiant :

Partenaire :

Inria Rennes - Bretagne Atlantique Research Centre

Discipline :

Engineering

Secteur :

Université :

The University of British Columbia

Programme :

Globalink Research Award

Advancing Big Data: Critical Analysis for Harnessing Heterogeneous Information

This cross-disciplinary project aims to investigate underlying philosophical questions in the acquisition, management and production of scientific big data. Big data analytics (BDA) continues to produce an overwhelming amount of information which can be challenging to make use of due to its size, density and complexity. BDA is ubiquitous in forecasting and decision making but diverse external data sources with varying data structures (graphs, tables, arrays etc.) can prevent normal machine learning tasks from answering our queries appropriately. Such a multi-faceted problem necessitates a creative solution, so in addition to using sophisticated computer science, philosophical and socio-technological methods might also be able to help. Using a diversity of approaches to address problems of scale and heterogeneity in big data can serve to help develop new architectures, algorithms, and techniques to harness the information embedded in the big data landscape, making the philosophy of big data both a technical and social enterprise.

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Superviseur du corps professoral :

John Turri

Étudiant :

Partenaire :

Inria Sophia Antipolis - Méditerranée Research Centre

Discipline :

Computer science

Secteur :

Education

Université :

University of Waterloo

Programme :

Globalink Research Award

Bridging the Gap Between CPUs and GPU with Out-of-Order SIMT

Most of today’s computers, from cell phones to supercomputers, are heterogeneous: they integrate processors that are optimized to quickly execute a few tasks (CPU
cores), and processors that can perform many independent tasks in parallel (GPU cores). GPU cores and CPU cores have different instruction sets: they understand
different languages. A task written for CPUs cannot run on GPUs, and vice versa. As a result, programming current heterogeneous architectures is challenging and few
applications can take advantage of the processing power offered by GPU cores. We will address this incompatibility by designing a hybrid CPU and GPU core, which presents the same instruction set as multi-core CPUs while offering the same parallel performance as GPUs.
To experiment and validate our proposition, we will model this new hardware in a software simulator mimicking the behaviour and timings of the proposed hybrid
architecture. We will develop the design using an existing CPU simulator.
This project will significantly ease the development effort required for designing applications which run efficiently on modern computers. It will also harness the
underutilized processing power available in contemporary hardware.

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Superviseur du corps professoral :

Kaamran Raahemifar

Étudiant :

Partenaire :

Inria Rennes - Bretagne Atlantique Research Centre

Discipline :

Engineering

Secteur :

Université :

Toronto Metropolitan University

Programme :

Globalink Research Award

Découpage virtuel de corps viscoélastiques déformables à l’aide de la méthode SPH avec support GPU pour les logiciels de simulation chirurgicale

La découpe virtuelle de corps mous viscoélastiques (tel qu’un organe du corps humain) en temps réel constitue un problème d’envergure dans les logiciels de simulation chirurgicale. Le projet consiste à développer un algorithme de découpe 3D en temps réel offrant un rendu visuel réaliste à l’utilisateur et un retour de force optimal d’un dispositif haptique simulant l’outil d’un chirurgien. Deux méthodes de calcul des modèles viscoélastiques seront analysées durant ce projet : la méthode des éléments finis appliquée à un maillage constitué de tétraèdres et la méthode « Smoothed particle hydrodynamics » (SPH) utilisée généralement dans la simulation
de fluide. Ces deux méthodes seront accélérées à l’aide de processeurs graphiques (GPU). Nous souhaitons augmenter le réalisme du simulateur en offrant une immersion virtuelle optimale au chirurgien.

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Superviseur du corps professoral :

Benoit Ozell

Étudiant :

Partenaire :

INRIA

Discipline :

Computer science

Secteur :

Université :

École Polytechnique de Montréal

Programme :

Globalink Research Award

Fluorescently-labeled nanoparticle target for imaging

There is currently a great need to develop better imaging probes for studying biological process. In this proposed internship, Drs. Pacheco and Hashir will be evaluated an aluminum coated alloyed quantum dot system. These quantum dots are brighter than organic fluorophores and with the aluminum surface coating, these quantum dots are less pervious to environmental factors. This internship is beneficial to Market Link Scientific because they have a whole animal optical system and are evaluating possible applications of this instrument. The quantum dots are useful contrast agents for them and hence, the interns will assess the utility of these quantum dots probes in imaging applications.

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Superviseur du corps professoral :

Warren Chan

Étudiant :

Partenaire :

Discipline :

Engineering

Secteur :

Université :

University of Toronto

Programme :

Accelerate

Online Learning of Gait Models for Fall Prediction

Meaningful parameters can be extracted from data that describes a person walking as time progresses. Gait asymmetry is one such parameter that has been shown to be correlated to the likelihood of a person falling. More generally, the variability in gait parameters can be used for human fall prediction. Currently, models used to describe gait cycles do not generalize well to new variable data. The proposed method learns a model of the gait cycle during online measurement, using a rich and continuous representation that can adapt to inter and intrapersonal variability by creating an individualized model. We expect this model will estimate more accurate gait parameters for improved fall prediction. Furthermore, we predict the evolution of patient models could be used for early detection and assessment of other health conditions.

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Superviseur du corps professoral :

Dana Kulic

Étudiant :

Partenaire :

INRIA

Discipline :

Engineering

Secteur :

Université :

University of Waterloo

Programme :

Globalink Research Award

Small Molecule Ice Recrystallization Inhibitors as Cryo-additives for Red Blood Cell Cryopreservation

The transfusion of red blood cells (RBCs) is a lifesaving procedure for many patients. While the Canadian blood supply is safe and consistently meets demand, the primary method for the storage of RBCs prior to transfusion is refrigeration at 4°C for a maximum of 42 days, a process which can lead to inefficiencies and discards. Cryopreservation is a desirable method for the long-term storage of RBCs, providing access to a large quantity of RBCs required in emergency transfusions or for patients with unique transfusion requirements. However, current cryopreservation methods employ high concentrations of glycerol which must be removed prior to transfusion. Not only is the deglycerolization process costly and time-consuming, deglycerolized RBC units have a limited shelf-life of 24 hours. The proposed project will investigate the use of ice recrystallization inhibitors to optimize the cryopreservation of RBCs and improve access to frozen RBCs for patients in need.

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Superviseur du corps professoral :

Robert Ben

Étudiant :

Partenaire :

Canadian Blood Services (ON)

Discipline :

Life Sciences

Secteur :

Biotechnology; Health and Related Sciences & Technology

Université :

University of Ottawa

Programme :

Accelerate