Projets novateurs réalisés

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

30156 projets achevés

2861
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5059
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812
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673
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842
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8957
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9368
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96
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579
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1120
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Projets par catégorie

Computer vision system for ice detection on power cables

In northern countries, ice storms can cause major power disruptions such as the one that occurred in the Toronto area on December 2013 that left more than 300,000 customers with no electricity immediately after the storm. Prediction of ice formation on power cables can help on taking actions for removing the ice before a major problem occurs. Currently Manitoba Hydro HVDC Research Centre has a vision based ice detection system that uses digital images taken from the overhead line conductors. The system, as it is currently implemented, yields a number of misclassification such as an alarm indicating ice formation in a cable that does not present an ice formation problem, no alarm when there is ice, etc. With state of the art digital image processing techniques the project aims to improve the current performance of this system.

Voir la description complète du projet
Superviseur du corps professoral :

Gabriel Thomas

Étudiant :

Partenaire :

Manitoba Hydro International Ltd

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Utilities

Université :

University of Manitoba

Programme :

Accelerate

Automatic Image Filtering Using Deep Learning

Two Hat Security is a company that develops next generation moderation tools for social networking apps. Since images are of the most important data shared by social networking apps, an important problem for the company is to identify images that are unsafe or inappropriate. In particular, images containing certain objects (e.g. knife, gun, bikini, etc.) are considered unsafe. It is obviously not practical to manually sift through all the images to find the unsafe ones. The objective of this project is to develop algorithms to automatically filter images and identify those that are considered unsafe. We will develop algorithms using deep learning (in particular, convolutional neural network) to identify whether an image contains any of the objects that are considered to be unsafe.

Voir la description complète du projet
Superviseur du corps professoral :

Yang Wang

Étudiant :

Partenaire :

Two Hat Security Research Corp

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Manitoba

Programme :

Accelerate

Analyse du processus de passage à l’échelle d’initiatives innovantes développées dans le cadre des reformes du système de santé en Tunisie

Comme la plupart des pays en transition, la Tunisie est un pays qui est confronté à une restructuration constante de son système de santé pour faire face à différents défis. Dans la cadre de la nouvelle restructuration de son système, le gouvernement tunisien a décidé de mettre à l’échelle des projets les plus prometteurs et efficaces au niveau local. Bien que les projets locaux aient un impact positif sur la santé des populations cibles, leur déploiement à plus grande échelle présentent encore d’importantes difficultés. Pourtant, de tels projets sont essentiels pour documenter de la faisabilité et de l’efficacité, et permettent d’identifier les conditions de succès lors de la mise à l’échelle. Cette étude vise examiner la mise en oeuvre de quelques projets locaux déjà initiés en intégrant l’analyse des conditions de pérennisation dans le processus de la mise à l’échelle. Nos activités de recherche sur le terrain nous permettront de mettre en évidence la nature et le niveau d’influence de plusieurs facteurs qui sont associés à ces processus. Les publications et les communications de cette étude contribueront à la diffusion de ses conclusions dans la communauté scientifique. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

François Champagne

Étudiant :

Partenaire :

Université de Tunis

Discipline :

Life Sciences

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

Re-thinking hydro dam management: A conservation tool for preserving of Nova Scotia’s important freshwater habitats.

The implementation of hydroelectric power over the past 100 years in Nova Scotia has resulted in changes to the habitats of many important species. In the watersheds where hydro dams have been constructed, plant, fish and animal habitat have all been impacted to some extent. Although some of these impacts have been positive (the creation or reservoirs have made good fish habitat for example), degradation in the habitat of many species has also been documented. However it may be possible to manage hydro dam infrastructure in such a way that these important habitats are preserved or even recovered. The objective of this project is to research and develop management strategies that could be used by Nova Scotia Power to manage their hydro dams in a way that is more conducive to species and their habitat needs, while also meeting their electricity production targets.

Voir la description complète du projet
Superviseur du corps professoral :

Michelle Adams

Étudiant :

Partenaire :

Discipline :

Life Sciences

Secteur :

Utilities

Université :

Dalhousie University

Programme :

Accelerate

Monitoring and Assessment of Net Zero Energy Home and Net Zero Energy Ready Home

The project involves monitoring and evaluating the energy performance of two houses built by a mainstream builder – one Net Zero Energy (NZE) and one Net Zero Ready (NZR). Both have advanced zoned variable-capacity air source heat pump systems (ASHPs), heat pump water heaters (HPWHs) and drain water heat recovery. The NZE house has a Photovoltaic (PV) grid-tied/battery system. Objectives are to assess energy and comfort performance and to identify options for optimizing performance. A key issue is how to optimize the way ASHP, HPWH and PV systems work together, in order to minimize peak electricity demand, maximize efficiency and environmental benefits, and minimize costs to builders, homeowners and utilities. Performance will be modelled in TRNSYS and a user interface refined to enable researchers and industry to simulate different NZE approaches and identify optimum strategies. The project is related to the intern’s field of study and will provide valuable experience monitoring and modelling real-world high-performance housing. It builds on research of the partner organization and its industry partners.

Voir la description complète du projet
Superviseur du corps professoral :

Alan Fung

Étudiant :

Partenaire :

Toronto and Region Conservation Authority (Vaughan, ON)

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Public administration

Université :

Toronto Metropolitan University

Programme :

Accelerate

An enhanced visual robot navigation using a laser range sensor

Accurate robot positioning and navigation is an ongoing research problem, especially in environments that are unknown or hostile. Nowadays, there is an increase in the number of applications robots can be deployed in, these applications range from robots providing concierge services in hotels, guiding museum visitors to the desired booth, and assisting firefighters to locate trapped individuals. All of these applications rely on accurate robot positioning to successfully achieve their task. Most robots come mounted with a camera that can perform face/object recognition, and can be used for navigation as well. However, accurate positioning via camera suffers due the typical nature of the unknown environment it is deployed in. To solve this problem, this research investigates augmenting a camera with a laser range sensor to improve the overall accuracy of the positioning algorithm.

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Superviseur du corps professoral :

Edward Park

Étudiant :

Partenaire :

Recon Instruments Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Simon Fraser University

Programme :

Accelerate

Étude différentielle et prédictive du succès universitaires chez les francophones au Nouveau-Brunswick

L’Université de Moncton, seule université francophone du Nouveau-Brunswick, est située dans un milieu à forte majorité anglophone. L’état des connaissances sur les déterminants de la réussite universitaire chez cette population n’est que parcellaire et peu discriminant. Comme le souligne Landry (2014), les différents groupes populationnels du Nouveau-Brunswick constituent un microcosme du pays et sont en ce sens une population attrayante pour la recherche. L’objectif ici est de rendre compte, selon la provenance géographique, des différences susceptibles d’influencer la réussite universitaire des étudiants vivant en milieu minoritaire, plus particulièrement la réussite aux différents cours de français. L’ICRML a comme mandat de promouvoir une plus grande connaissance de la situation des minorités de langue officielle du Canada et une meilleure compréhension des enjeux prioritaires qui les concernent. Ce projet de recherche s’inscrit tout à fait dans cette mission et, comme il est question d’étudier des variables psychologiques d’une minorité linguistique, ce projet est d’autant plus pertinent pour le stagiaire. En outre, ce projet lui permettra d’approfondir ses connaissances concernant de nouvelles avenues de recherches, en collaborant avec des experts dans le domaine.

Voir la description complète du projet
Superviseur du corps professoral :

François Vigneau

Étudiant :

Partenaire :

Institut canadien de recherche sur les minorités linguistiques

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Université de Moncton

Programme :

Accelerate

The SAVI Smart Edge Deploying Massive Multiple In Multiple Out (MIMO) Distributed Antenna Architectures

The NSERC Strategic Network for Smart Applications on Virtual Infrastructures is a five-year partnership between Canadian industry, universities, researchers, research and education (R&E) networks, and high performance computing centres to investigate the design of future application platforms that will deliver software applications of greater capability and intelligence. These application platforms will be supported by an extended computing cloud, encompassing a virtual converged infrastructure and control software that also serves as a live testbed for exploring novel concepts in application-oriented networking, cloud computing, integrated wired/wireless access, and smart applications. Novel software applications will build on advanced services provided by the platform, including context, mobility, location, identity, social network, media recognition, and intelligence. The SAVI network will involve the academic community in the creation of new content and novel applications. This MITACS proposal is to support a SAVI internship program that will strengthen the Canadian industrial base in information and communications technology through the preparation of highly qualified manpower with expertise in the design and operation of globally competitive ICT infrastructure and the creation of innovative and disruptive products, services, and applications. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Raviraj Adve

Étudiant :

Partenaire :

Ericsson Canada Inc (Montreal, QC)

Discipline :

Engineering

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Term Extraction for Micro-domain Ontology in Personalized Search

The objective of this project is to improve the quality of results returned by a search engine by incorporating the user’s prior search history. By adding contextual information about the user, we are able to better understand their needs and provide information tailored specifically for them. A unique, customized ontology is created to best model the user’s interests. The ontology is a signature of the user and can be used to properly disambiguate their query as well as quickly identify their domain of interest. Since the ontology is comprised of words and their relationships, by applying Natural Language Processing techniques along with machine learning methods that minimize the need for expensive prior knowledge, a semantic network is constructed. This ontology, which succinctly captures the user’s profile, is one of the core components in the target product for the partner organization. Our work provides a proof-of-concept for the target product.

Voir la description complète du projet
Superviseur du corps professoral :

Anoop Sarkar

Étudiant :

Partenaire :

Discipline :

Computer science

Secteur :

Université :

Simon Fraser University

Programme :

Accelerate

Investigation of Non-Condensable Gas Behaviour in Thermal Exploitation of Grosmont Reservoir and Its Role and Effect on Reservoir Performance and Simulation History Matching of the Saleski Pilot

The Grosmont formation, a carbonate naturally fractured reservoir in Alberta, Canada, has 400 billion bbl of bitumen resource, which is currently not commercially exploited. Viable exploitation of this reservoir would mean addition of a huge quantity to Canadian oil reserves. Since December 2010, Laricina Energy Ltd. in their Saleski pilot evaluated a bitumen recovery process using steam injection. The pilot was shut down on September 2015 due to low commodity prices. The Saleski Pilot examined Steam Assisted Gravity Drainage (SAGD) and cycle steam injection in Grosmont reservoir. The close to five years operation of Pilot has provided a very invaluable set of data. Some wells in the pilot have proven commercial rates and efficient steam to oil ratio, while some other wells showed less favourable performance. Nevertheless, any future commercial phase in this reservoir would largely benefit from using the Pilot data in order to properly model the reservoir, predict its performance, and subsequently optimize the recovery technology. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Apostolos Kantzas

Étudiant :

Partenaire :

Laricina Energy Ltd

Discipline :

Engineering

Secteur :

Mining

Université :

University of Calgary

Programme :

Accelerate

Digital Educational Programs for Marginalized Youth: Maximizing Their Effectiveness and Reach

This project involves the evaluation of existing youth media programs designed and delivered by the Access to Media Education Socieity. The intern will identify gaps and areas for growth within these programs, as well as development of a range of new outreach workshops and materials. The data generated by this project will direct and guide the future evolution of AMES’ programs, as well as the development of program models and best practices that other organizations can use (through publication of the research generated).

Voir la description complète du projet
Superviseur du corps professoral :

Jennifer Shapka

Étudiant :

Partenaire :

Access to Media Education Society

Discipline :

Sociology

Secteur :

Education

Université :

The University of British Columbia

Programme :

Accelerate

Exploring the Utility of Physical Visualization Construction

Physical visualizations are representations in which data is mapped to physical form, rather than the pixels or ink of traditional visualizations [6]. Creating such representations using tangible tiles (i.e. constructive physical visualization) is an accessible paradigm for visualization novices
to construct representations [5]. Is this approach worth the greater time investment it requires over more automated tools? The purpose of this project is to explore the utility of the process of constructing of physical visualizations. From this work, we expect to gain knowledge of i) which
parts of the construction process are useful, ii) in what way they are useful, and iii) where and iv) for what type of user they might be useful. From this, we will identify design requirements for new tools to support constructive visualization. If the construction process itself has value, then
we should consider designing digital and tangible-digital tools that allow visualizations to be created in a constructive manner, rather than strictly through automated functions.

Voir la description complète du projet
Superviseur du corps professoral :

Anthony Tang

Étudiant :

Partenaire :

Télécom Paris

Discipline :

Computer science

Secteur :

Université :

University of Calgary

Programme :

Globalink Research Award

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