Projets novateurs réalisés

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

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
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860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
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Projets par catégorie

Intelligent mini-unmanned Aerial Vehicles (UAVs) for automated skin cancer screenings

The main goal of this project is to design a UAV-based image acquisition system to capture high quality full body images which will be integrated into DermEngine Full Body Imaging (FBI) module. With this system, we intend to achieve consistency between different images that FBI needs to analyze. We also plan to deliver an easy-to-use, affordable, compact, and automated system for experts, physicians, and even patients.
At a very high level, we are looking at a mini-UAV that can be programmed and controlled by sensors to fly in a specific path around the patient body and captures high quality images at different angles. At this stage, we just want to conduct a feasibility study to specify and customize a vision-based indoor navigation system for this application. In future, we plan to develop the complete UAV-based TBP system which will be smart, autonomous, and able to capture 3D images.

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Superviseur du corps professoral :

Siamak Arzanpour

Étudiant :

Partenaire :

MetaOptima Technology Inc

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Novel membrane mimetics in HT antibody screening and structural biology

Many therapeutic targets are proteins embedded in the membrane that surrounds the cell. Traditionally, such targets present major challenges, because they required the use of detergents to extract them from the membrane and to purify them. Such detergents can cause artefacts, hampering the development of novel therapeutics. Here we will test new methods that get rid of detergents during extraction, purification, or both. The membrane proteins thus isolated can then be used for screening of therapeutic antibodies; for example the binding strength of an antibody against the target protein can be determined. In a different part of the project the purified protein can be used to determine the 3D-structure of the protein. The more native environment provided by the novel approaches is likely to improve stability of the sample and therefore increase the chances of success.

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Superviseur du corps professoral :

Filip Van Petegem;Karen Cheung;Anne Condon;Corey Nislow;Khanh Dao Duc

Étudiant :

Partenaire :

Amgen British Columbia

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

3D visualizations for neuroscience education, research, and clinical applications

As new technologies are rapidly being integrated in postsecondary institutions, the question is often where to focus investment and how to facilitate adoption of new technologies by faculty and students. The advent of an era that will increasingly rely on the use of augmented and virtual reality in the instructional arena necessitates the creation of easy to use technologies and exploration as to whether these tools are applicable and practical in education and research. While there is extensive interest in using augment reality (AR) in the educational and research settings, challenges exist including development of models that are not only visually interesting but precise and usable for data analysis and visualization.
UBC and Microsoft will continue their collaboration, which started with the “Holographic Brain Lecture”, which looked at the educational impact of AR.TO BE CONT’D

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Superviseur du corps professoral :

Claudia Krebs

Étudiant :

Partenaire :

Microsoft Canada;Microsoft HQ

Discipline :

Life Sciences

Secteur :

Technology; Education; Health and Related Sciences & Technology

Université :

The University of British Columbia

Programme :

Accelerate

The Genetics of Blood Biomarkers in COPD

COPD is a progressive inflammatory airway disease characterized by persistent and progressive airway inflammation. It is a major cause of global morbidity and mortality and is predicted to become the third leading cause of death by 2020. Biomarkers may be useful for diagnosing disease considering that the usually used lung function measures have poor correlation with both symptoms and other measures of disease progression. However, the relationship between biomarkers and COPD is still elusive. Establishing causality for selected proteins and pathways is a promising step toward their development as both biomarkers and therapeutic targets. Our group has found surfactant protein D is a novel biomarker, plays a causal role in the pathogenesis of COPD and its progression. TO BE CONT’D

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Superviseur du corps professoral :

Xuekui Zhang

Étudiant :

Partenaire :

Providence Health Care

Discipline :

Mathematics

Secteur :

Health and Related Sciences & Technology; Professional, scientific and technical services

Université :

University of Victoria

Programme :

Accelerate

Movement patterns of migratory tree-roosting bats during autumn migration in southern Saskatchewan

Three of Saskatchewan’s bat species roost in trees and migrate long distances annually: hoary bats, eastern red bats and silver-haired bats. Migratory bats are facing a variety of threats, such as habitat loss, climate change, pesticide use, and fatalities at wind energy facilities. Large numbers of bat fatalities have been recorded at wind energy facilities across North America. If current fatality rates continue, the population of hoary bats, the species most commonly killed by wind turbines, could decrease by up to 90% in the next 50 years. If we can identify areas or landscape features associated with bat migration, this information can be used by SaskPower and other stakeholders to inform wind power siting decisions for future wind energy projects.

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Superviseur du corps professoral :

Mark Brigham;Erin F Baerwald

Étudiant :

Partenaire :

SaskPower

Discipline :

Life Sciences

Secteur :

Utilities

Université :

University of Regina

Programme :

Accelerate

Acoustophoresis For Pulp Separation

In pulp and paper mills, efficient techniques are required to remove accumulating solid suspensions in order to optimize raw material usage and closing up water systems due to environmental regulations. As a novel approach to solid removal, an ultrasonic method to clarify a white-water stream appears promising. For white-water stream clarification, the idea is to apply a normal force on flowing fibers using radiation force coming from an ultrasonic wave field (acoustophoresis), for the purpose of migrating the fibers and thus increasing the consistency of the pulp stream. This project aims at determining the optimal configuration for feasible pulp manipulation in industrial environment. After a brief bibliography, both numerical and experimental methodologies will be developed in order to derive the optimal transducer configuration. TO BE CONT’D

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Superviseur du corps professoral :

Nicolas Quaegebeur

Étudiant :

Partenaire :

GL&V Canada

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Université de Sherbrooke

Programme :

Accelerate

Classification automatique de données d’indicateurs de performance de projets de Partenariat Public Privé et analyse de tendances

Dans le domaine de la gestion des infrastructures, les indicateurs de performance (IP, ou en anglais Key Performance Indicators – KPI) sont des mesures qui lient le client et le fournisseur de services. Ces indicateurs permettent de fixer des objectifs de performance que le fournisseur doit atteindre. Les IP sont particulièrement importants dans des ententes du type PPP (Partenariat Public-Privé) où le fournisseur s’engage à fournir des services sur des périodes de parfois plusieurs années, voire des décennies.
La gestion des IP nécessite un travail manuel imposant pour consigner et classifier les IP. Ce travail est sujet à des erreurs et à un processus de validation entre le fournisseur de service et le client. Le présent projet vise à assister les agents qui interviennent dans ce processus en automatisant certaines étapes par la mise en oeuvre d’algorithmes de classification. Il en résultera un gain de productivité important. TO BE CONT’D

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Superviseur du corps professoral :

Michel Desmarais

Étudiant :

Partenaire :

iA Résultat Inc

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

École Polytechnique de Montréal

Programme :

Accelerate

Étude comparative des écosystèmes d’intelligence artificielle de Montréal et Paris : le rôle du processus de légitimation culturelle et du discours éthique

Cette recherche a pour but de documenter les particularités des écosystèmes d’innovation de Montréal et Paris constitués de relations entre trois secteurs (privé, universitaire et gouvernemental), afin de comprendre le rôle du processus de légitimation culturelle, en particulier dans la production d’un discours éthique sur l’intelligence artificielle. Grâce à la collecte de témoignages provenant des principaux acteurs de ces écosystèmes d’innovation nous formerons un corpus de discours représentatif des rôles joués dans le déploiement de l’intelligence artificielle. La comparaison permettra, dans un premier temps, d’identifier le rôle des acteurs extraterritoriaux et des acteurs locaux pour ensuite, dans un second temps, comprendre les relations de collaboration et leurs impacts sur les initiatives de ville intelligente, de numérisation des services, et de gouvernance numérique mise en place. À terme, nous voulons identifier en quoi les villes de Montréal et de Paris, qui, encore dans les plans annoncés en 2015 mettaient l’accent sur des plateformes collaboratives et citoyennes, sont tendanciellement amenés à légitimer et à s’orienter vers des modèles entrepreneuriaux concentrés sur la promotion de startups et la commercialisation des algorithmes d’apprentissage profond.

Voir la description complète du projet
Superviseur du corps professoral :

Jonathan Roberge

Étudiant :

Partenaire :

Institut d'études politiques de Paris

Discipline :

Sociology

Secteur :

Information and Communications Technology; New and Digital Media; Public Service, Policy, and Governance

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Globalink Research Award

Extraction et analyse des objectifs de sollicitation client

L’objectif de ce projet de recherche est d’améliorer la compréhension des membres par les conseillers de la Fédération des caisses Desjardins. Pour ce faire, nous avons mis en place une solution permettant d’analyser l’information provenant des appels et des discussions par chat. Grâce à différents algorithmes de traitement automatique du langage, nous pouvons extraire les différents mots-clés et expressions utilisées au sein des conversations. Ces expressions nous ont permis de créer un système de tri des appels et discussions en fonction des différents services de l’entreprise. Le but final étant d’extraire l’objet principal de la demande du membre afin d’améliorer le suivi, les redirections d’appel, et les propositions de services faites aux différents membres.

Voir la description complète du projet
Superviseur du corps professoral :

Gilles Caporossi

Étudiant :

Partenaire :

Mouvement des caisses Desjardins

Discipline :

Computer science

Secteur :

Finance and Insurance

Université :

HEC Montréal

Programme :

Accelerate

Comparing chemical suppressants for the control of fugitive dust emission on mine hauls roads

Dust generated from haul roads poses a health and safety threat to mine sites. Traditionally, water has been applied on mine haul roads to control the dust. Using chemical surfactants to form a solution of chemical suppressants has been considered as a more effective method to control fugitive. However, the use of chemical dust suppressants is still in an “art” stage in which the selection and use of dust suppressants is largely based on site experience after numerous “trials-and-errors.” To this end, the objective of this proposed research is to develop a bench-scale testing framework and conduct a systematic investigation on various chemical dust suppressants in the mining industry. The results derived from the proposed investigation and its related characterizations will strongly benefit the selection of chemical dust suppressants for truck hauling in Canada’s mining sites.

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Superviseur du corps professoral :

Wei Liu

Étudiant :

Partenaire :

Teck Resources Ltd

Discipline :

Engineering

Secteur :

Mining

Université :

University of Alberta

Programme :

Accelerate

Anomaly detection and simulation for unlabeled sensor data

The rapid development in the areas of statistics and machine learning demonstrate unprecedented performance in making cognitive business decisions. Quartic.ai aims to use state-of-the-art machine learning technology to help manufacturers assess and maintain the quality of their industrial units, which suffer damage due to continuous usage and normal wear and tear. Such damage needs to be detected early to prevent further losses. The data in this domain are recorded using sensors at various stages in the process flow. Major challenges of analyzing these sensor data are (1) unlabeled data, which may contain very few unobserved anomalies or outliers; (2) the development and evaluation of algorithms that can robustly detect anomalies. Due to the lack of labels, the performance of algorithms can not be directly evaluated. To tackle the problems, we will carefully design simulations by taking into account of various types of outliers and develop novel robust one-class classification algorithms.

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Superviseur du corps professoral :

Linglong Kong

Étudiant :

Partenaire :

Quartic.ai Canada Inc

Discipline :

Mathematics

Secteur :

Professional, scientific and technical services

Université :

University of Alberta

Programme :

Accelerate

Smart Phone Microscope

The project that you will be working on is titled “Microscope adapter for smart phone camera”. As such we have made quite a bit of progress and have made two prototypes of microscope that can be interfaced with a smartphone. However, now we will like to have advanced features like fluorescent microscopy. So the final objective of what you will be doing here is the develop and demonstrate some of these capabilities in this device. In the process of doing that you will get to do many other things involving surface science, soft mechanics and, of course, some optics.

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Superviseur du corps professoral :

Boxin Zhao

Étudiant :

Partenaire :

Indian Institute of Technology Kanpur

Discipline :

Engineering

Secteur :

Education

Université :

University of Waterloo

Programme :

Globalink Research Award

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