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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4990
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801
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663
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825
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8841
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9197
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95
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568
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1088
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Projets par catégorie

Blue Engineering – Engineers with social and ecological responsibility

There is no memorandum project overview associated with this application.

Voir la description complète du projet
Superviseur du corps professoral :

Andréa El-Khoury

Étudiant :

Partenaire :

Technische Universität Berlin (Institut fur Mathematik)

Discipline :

Engineering

Secteur :

Université :

McGill University

Programme :

Globalink Research Award

Evaluation of additive manufacturing technology for the fabrication of wind-tunnel model parts featuring static pressure channels

The objective of the proposed project is to evaluate the use of additive manufacturing technology for the fabrication of wind-tunnel model parts featuring static pressure channels. The long-term aim of this research to devise an innovative manufacturing process that reduces the cost and lead time required to fabricate aerodynamic wind-tunnel models. The suggested methodology is to test the transient response time of pressure channels manufactured with additive technology and to compare it with those manufactured using classical machining. The results obtained through this project will help the industrial partner devise a manufacturing process for wind-tunnel model parts used, among others, at the NRC 1.5m Blow-down wind tunnel.

Voir la description complète du projet
Superviseur du corps professoral :

Julien Weiss

Étudiant :

Partenaire :

FusiA Impression 3D Metal Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

École de technologie supérieure

Programme :

Accelerate

Development of a Gateway Embedded System for Smart Lighting Control

There is a growing demand to conserve energy at the load side using smart lighting systems in the buildings, warehouses, and other facilities. In a smart lighting system each of the electrical devices is regarded as a wireless node capable of communicating with other nodes through an available wireless technology. The proposed R&D activity targets at developing a gateway device which is an important component of a Bluetooth enabled lighting system which uses the BLE technology for internetwork communication between different nodes. Bluetooth v4.0 or Bluetooth low energy (BLE) wireless technology is a newly introduced technology with much lower power consumption compared to the devices equipped with standard Bluetooth technology. The low power low cost BLE enabled devices creates a new opportunity to reduce the power consumption of the wireless nodes in smart lighting systems.

Voir la description complète du projet
Superviseur du corps professoral :

Mehrdad Moallem

Étudiant :

Partenaire :

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Création d’une application mobile visant le développement des habiletés perceptives et productives musicales des enfants

Ce projet vise à encourager le développement des habiletés musicales des enfants de 3 à 6 ans par l’entremise de la technologie. Le recours à une application mobile pour bonifier les habiletés perceptives et productives musicales s’avère une avenue très intéressante à considérer par les parents et les éducateurs. Le recours aux nouvelles technologies éducatives visent la stimulation directe de l’audition, de la vision et de la praxie au cours de la petite enfance. À partir d’extraits musicaux de la collection Analekta nous viserons un apprentissage actif de la musique : une façon concrète d’éveiller les enfants à cet art.

Voir la description complète du projet
Superviseur du corps professoral :

Jonathan Bolduc

Étudiant :

Partenaire :

Mazaam

Discipline :

Sociology

Secteur :

Information and cultural industries

Université :

Université Laval

Programme :

Accelerate

Treatment Optimization for Radiofrequency Ablation of Tumors: A parameter sensitivity analysis

There is no memorandum project overview associated with this application.

Voir la description complète du projet
Superviseur du corps professoral :

Larry Dong

Étudiant :

Partenaire :

Rheinisch-Westfälische Technische Hochschule Aachen

Discipline :

Life Sciences

Secteur :

Education

Université :

McGill University

Programme :

Globalink Research Award

Analysis of protein clusters by super-resolution microscopy

There is no memorandum project overview associated with this application.

Voir la description complète du projet
Superviseur du corps professoral :

Laura Gomez

Étudiant :

Partenaire :

Freie Universität Berlin

Discipline :

Physics

Secteur :

Université :

The University of British Columbia

Programme :

Globalink Research Award

Exploring huge sized Rydberg atoms in ultracold gases

There is no memorandum project overview associated with this application.

Voir la description complète du projet
Superviseur du corps professoral :

Mariya Krasteva

Étudiant :

Partenaire :

Heinrich-Heine-Universität Düsseldorf

Discipline :

Physics

Secteur :

Université :

Concordia University

Programme :

Globalink Research Award

Open IoT Services: A general recipe for smart cities

There is no memorandum project overview associated with this application.

Voir la description complète du projet
Superviseur du corps professoral :

Liuai Dominique Hatter

Étudiant :

Partenaire :

Universität Kassel

Discipline :

Computer science

Secteur :

Université :

Concordia University

Programme :

Globalink Research Award

Sound propagation in turbo engine ducts

There is no memorandum project overview associated with this application.

Voir la description complète du projet
Superviseur du corps professoral :

Kelvin Leung

Étudiant :

Partenaire :

Deutsches Zentrum für Luft- und Raumfahrt

Discipline :

Engineering

Secteur :

Université :

University of Toronto

Programme :

Globalink Research Award

Ecological study on Conservation of wild bees and wasps in Agricultural Landscapes

There is no memorandum project overview associated with this application.

Voir la description complète du projet
Superviseur du corps professoral :

Camilla Gillis-Adelman

Étudiant :

Partenaire :

Christian-Albrechts-Universität zu Kiel

Discipline :

Life Sciences

Secteur :

Education

Université :

McMaster University

Programme :

Globalink Research Award

Sustaining our forests in southwestern Alberta

This MITACS internship will support Julie Fortin, an MSc student whose focus is on developing new techniques for analyzing oblique historical mountain survey images based on the world’s largest systematic collection of historical mountain survey images, the Mountain Legacy Project. Her research is driven by questions about shifts in biodiversity over time, built atop biodiversity data and models developed by Dr. Jason Fisher and his colleagues and crews with Alberta Innovates for Willmore Wilderness. While removed from the landscapes of southwestern Alberta, in which a broader research initiative funding the Foothills Reearch Institute is supporting, the research questions and processes are analogous, and Ms. Fortin’s research will advance an understanding of how best to gain leverage for understanding disturbance ecology from a unique historical dataset of historical survey images. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Eric Higgs

Étudiant :

Partenaire :

fRI Research

Discipline :

Life Sciences

Secteur :

Forestry; Environmental Science and Technology; Public Service, Policy, and Governance

Université :

University of Victoria

Programme :

Accelerate

Automatic Casting from Videos Using Deep Convolutional Neural Networks

In automatic casting applications, the aim is to accurately recognise facial regions that correspond to a same actor appearing in a movie to produce described video. In particular, this project will focus on challenging tasks of capturing and modeling the facial trajectory for each person appearing in a movie in order to predict when/where the principal actors appear. This is a challenging task because recent movies are typically high quality and faces are often occluded and their appearance varies significantly according to pose, illumination, blur, etc. The first objective of this project is to analyse and evaluate the state-of-the-art algorithms that are suitable for accurate detection and tracking faces in high resolution movies for fast automatic casting. Given the facial trajectories captured in a movie, the second objective is to investigate methods for learning or adapting predictive models to detect the principal actors in a film. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Éric Granger

Étudiant :

Partenaire :

Centre de recherche informatique de Montréal (CRIM)

Discipline :

Engineering

Secteur :

Information and Communications Technology; Technology; Entertainment and Media

Université :

École de technologie supérieure

Programme :

Accelerate

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