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
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842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projets par catégorie

AChT Green Methanol Plant

Advanced Chemical Technologies has developed a unique combination of existing processes to create a new method of making methanol. This proposed method actually consumes the greenhouse gas carbon dioxide, or CO2, meaning it could help reduce the environmental impact of Ontario’s manufacturing. This internship would involve the simulation of this proposed process using advanced chemical engineering software. The simulation would focus on implementing a well-demonstrated method of capturing carbon dioxide into the methanol production process, thus bringing the project one step closer to reality. The simulation of the CO2 capture method would allow for detail technical and economic analysis and improvements. It would also provide the intern, Sean McCaul, with valuable experience applying his chemical engineering skills to a real-life proposal. Given that the project is in its development stage, this internship will be valuable for all involved.

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Superviseur du corps professoral :

Eric Croiset

Étudiant :

Partenaire :

2486597 Ontario Inc;University of Waterloo

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Waterloo

Programme :

Accelerate

Wide area Motion Monitoring System (WAMS)

Noise interference is often a major challenge in signal recognition. In this project, our goal is to monitor ground and infrastructure movement based on data acquired using smart sensor technology. While related works have been extensively discussed in the literature, our contribution lies in exploring a reverse engineering procedure to remove noise from raw captured data. We first detect the noise in images, which provide visual cues and make recognition comparatively easier than recognizing irregularities in signals. Novel image/signal quality assessment (IQA/SQA) metrics and de-noise algorithms will be introduced. We will also investigate the effectiveness of image/signal fusion with cross validation. Our objective is to automate the computational steps and improve the time and quality performance. This project will help 3vG in advancing the existing limits of InSAR technology and removing barriers to its operational use, leading to economic benefits in Canada.

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Superviseur du corps professoral :

Irene Cheng;Amirali Baniasadi

Étudiant :

Partenaire :

3vGeomatics

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Alberta; University of Victoria

Programme :

Accelerate

Exploration of innovative sustainability-based wine shop strategies

This project will focus in new product/services development based on customer preferences and experiences in the wine shop. With this we intend to get insights into what current Cedar Creek customers are interested in with regards to potential new products and services. In particular, we want to understand the potential for offering new products and services focused in the concept of sustainability. Furthermore, we want to understand what are the motivations that would foster a customer to purchase a sustainably-produced wine. This will help build a better understanding of the different customer profiles and will be key input for constructing a set of new (or improving current) wine shop services and products. Overall, this project will give recommendations as to further improve the current wine shop customer experience. This will provide valuable data and insights for both the organization and the intern for research purposes.

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Superviseur du corps professoral :

Annamma Joy

Étudiant :

Partenaire :

CedarCreek Estate Winery

Discipline :

Business

Secteur :

Manufacturing

Université :

University of British Columbia - Okanagan

Programme :

Accelerate

Development and evaluation of an integrated UAV-based ranging and imaging system for characterizing surface relief and roughness

This research project is aimed at developing a multi-sensor system based on an unmanned aerial vehicle for characterizing soil micro-topography in agricultural fields. The system will be benefit from both passive imaging and active ranging technologies, respectively, based on an optical digital camera and a LiDAR sensor. Accurate and complete elevation measurements are essential for quantifying soil micro-topographic (MT) characteristics. Therefore, in this study, new techniques will be proposed for assuring data quality through i) optimizing the procedure of laboratory calibrations of the sensors and the system; ii) accurate integration of LiDAR point clouds and photogrammetric point clouds; and iii) ground filtering and digital terrain modeling from the integrated data and extracting soil MT variables (relief and roughness). TO BE CONT’D

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Superviseur du corps professoral :

Mozhdeh Shahbazi

Étudiant :

Partenaire :

Centre de géomatique du Québec

Discipline :

Engineering

Secteur :

Other; Agriculture and Food; Technology

Université :

University of Calgary

Programme :

Accelerate

Évaluation des modalités d’un outil de collaboration d’aide et de soutien à domicile

Plusieurs auteurs soulignent l’utilisation des technologies de l’information (TI) comme un outil facilitant la prise en charge de soi dans la perte d’autonomie et pouvant augmenter la qualité de vie des personnes âgées. Les TI peuvent posséder divers rôles en fonction des besoins des personnes en perte d’autonomie : (1) servir d’aide-mémoire, (2) maintenir le contact social, (3) performer les activités de la vie quotidienne et augmenter leur sentiment de sécurité. Les TI permettraient et faciliteraient le maintien et l’établissement de liaisons avec la communauté en diminuant l’effort de coordination des services. Le projet de recherche proposé consiste à évaluer les modalités de la plateforme collaborative qui permet de faire le lien entre les travailleurs autonomes et les individus en perte d’autonomie pour assurer différents services et le maintien à domicile.

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Superviseur du corps professoral :

Véronique Nabelsi;Martin X Noël

Étudiant :

Partenaire :

Centre de recherche en technologies langagières

Discipline :

Business

Secteur :

Administrative and support, waste management and remediation services; Professional, scientific and technical services

Université :

Université du Québec en Outaouais

Programme :

Accelerate

Operational Hydrological Forecasting in the Nelson-Churchill Watershed Using Gridded Climate Data

In order to understand the movement of water in all its three phases on, under, and above the ground, scientists known as hydrologists use computer models. These models simulate the volume of water that runs through river in response to the amount of rainfall that has reached the ground during a specific time period. Hydrologists typically use weather stations to learn how much rain has fallen over the land. In Canada and in remote parts of the country, there are not many weather stations available. Northern Manitoba is a prime example of such a place where the lack of rainfall information has stranded efforts to better understand the movement of water over land. In this study, a hydrologist is assigned to use other sources of rainfall information to better simulate river flows. This is specifically advantageous when managing water resources is of great importance for hydroelectric utilities and public stakeholders.

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Superviseur du corps professoral :

Tricia Stadnyk

Étudiant :

Partenaire :

Manitoba Hydro

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Utilities

Université :

University of Manitoba

Programme :

Accelerate

Development and validation of analysis tools and interfaces for automated rehabilitation systems

Automated physiotherapy motion tracking system may improve clinical outcomes by providing subjective measures and continuous monitoring. A study into different metrics that PTs may find useful for diagnosis and a user interface study assessing the current usability of the Automated Rehabilitation System, a system being developed by Cardon rehabilitation, will be conducted. A method to model the central nervous system using controls will be investigated to see if fatigue can be detected, which is a useful metric to provide both patients and physiotherapists. These two projects will significantly improve the effectiveness and usefulness of the Rehabilitation System.

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Superviseur du corps professoral :

Dana Kulic;James Tung

Étudiant :

Partenaire :

Cardon Rehabilitation and Medical Equipment Ltd;University of Waterloo

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Waterloo

Programme :

Accelerate

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.

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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.

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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