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
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

Proximity Music System

Video games are highly interactive experience. With modern approaches to game design it becomes impossible to anticipate all the situations a player can ended up in. Building up on research regarding generative music systems at the Metacreation Lab for Creative AI, PhD student Cale Plutt will research, design and implement a generative music system tailored to Inscape VR game. In particular, the music generation will respond to affective state of the games in terms of their valence, arousal and tension.

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Superviseur du corps professoral :

Philippe Pasquier

Étudiant :

Partenaire :

Inscape Studios

Discipline :

Sociology

Secteur :

Information and cultural industries

Université :

Simon Fraser University

Programme :

Accelerate

Automated Fatty Liver Diagnosis

Up to 30% of the population has a Fatty Liver Disease (FLD, a condition in which fat builds up in your liver). Non-invasive ultrasound assessment of this liver condition is an increasing demand in healthcare service due to its high risks leads to advanced liver diseases. However, an ultrasound-based examination has made the manual inspection a lengthy and tedious task and observer dependent. The proposed research aims at a computer-aided liver ultrasound assessment software toolkit facilitating the diagnosis of FLD. In particular, this proposal will design computational methods, such as machine learning and recent deep learning, to automatically extract related features in ultrasound data, and to detect and grade the levels of FLD. This project is a pioneering attempt. In both industry and academia, there is limited prior work. It will provide a strategic base towards a full automatic liver ultrasound diagnosis system for the partner organization.

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Superviseur du corps professoral :

Shuo Li

Étudiant :

Partenaire :

MEDO DX

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology; Technology; Information and Communications Technology

Université :

Western University

Programme :

Accelerate

Estimating Battery Key Performance Indicators and Forecasting Battery State-of-Health Using Machine Learning and Neural Networks Techniques

SOTI Inc. is a Canadian company providing control and management for mobile devices. Insight Agent is a product made by SOTI to help collect various battery specifications such as battery level, voltage, current and other metrics from mobile devices. This research project aims to use a machine learning and neural networks framework to predict the state-of-health for batteries in mobile devices. The intern will use the metrics collected by SOTI Insight Agent to derive formulas to calculate the key performance indicators (KPIs) of the battery system. Using the KPIs, the intern will explore all the feasible machine machine and neural networks algorithms to obtain a better understanding and prediction of batteries’ health conditions. This will help the Canadian customers minimize cost of device maintenance, as well as total cost of ownership while ensuring a minimal impact and loss to business productivity.

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Superviseur du corps professoral :

Murat Erdogdu

Étudiant :

Partenaire :

SOTI Inc

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Investigate sensors management and fusion algorithms to orchestrate data/information collection from different sensors (with various reliabilities) and in weather-challenging environments

The objective of the internship is to better evaluate/quantify the quality of sources in a challenging weather environment and adapt the behavior of the sensor-fusion algorithm accordingly. For example, if two cameras are mounted on the car, and one is obstructed (or partially obstructed) by snow, second camera should become more reliable in this condition.

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Superviseur du corps professoral :

Henry Leung

Étudiant :

Partenaire :

Thales Canada Inc (Montreal, QC)

Discipline :

Computer science

Secteur :

Information and Communications Technology; Transportation (excluding aerospace); Technology

Université :

University of Calgary

Programme :

Accelerate

Cannabis and Death-Anxiety

In partnership with True North Clinical Research, two studies are proposed to examine the moderating effect of using cannabis on anxiety in response to death-thoughts. In Study 1, participants will be randomly assigned to consume cannabis either before or after thinking about death. Self-reported affect will be assessed to determine if cannabis helps reduce death-anxiety. Study 2 will examine several potential moderators (e.g., personality factors associated with sensitivity to rewards and punishments; investment in pro-cannabis beliefs and values) and mediators (e.g., reactive approach motivation; reduced threat sensitivity) of the relationship between cannabis and anxiety following death-contemplation. This research will help True North understand the potential benefit of prescribing cannabis for the clinical treatment of anxiety. More broadly, it may also contribute to a growing literature on the medicinal effects of cannabis, as well as the literature on how people cope with the awareness of death.

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Superviseur du corps professoral :

Joseph Hayes

Étudiant :

Partenaire :

True North Clinical Research

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

Acadia University

Programme :

Accelerate

Data-driven building simulation for thermal and electrical energy demand prediction by using deep machine learning algorithms, RNN and LSTM for energy management

Building energy consumption prediction is becoming increasingly vital for energy management, equipment efficiency improvement, cooperation between building energy and power grid, and so on. However, it is still hard work to obtain accurate prediction results because of the complexity of the building energy behavior and the frequent undulations in the energy demand. In the building energy consumption prediction, the existing historical data are usually used to construct the traditional machine learning models and the deep learning models. This project, will mainly focus on developing a deep learning algorithm using recurrent neural networks and LSTM to have a more efficient and accurate prediction of electrical and thermal demand based on the energy consumption data from buildings. I have been selected to do my thesis in Canada for developing my project by starting a collaboration between DataOptima.it and CIISE in Concordia University.

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Superviseur du corps professoral :

Jia Yuan Yu

Étudiant :

Partenaire :

Politecnico di Milano

Discipline :

Engineering

Secteur :

Education

Université :

Concordia University

Programme :

Globalink Research Award

The Leisure, Sport, And Recreation Labor Market In Alberta: History And Current Trends

The project looks to explore the trends and directions of the labor market in the recreation, sport, and leisure industry for the Province of Alberta. Within this 6-month project, a review of the current literature in the human resource area of the field will be undertaken along with look at the current and past trends of the labor market within the province. These activities will lead to two chapters written for the partner organization which will help guide their future policies and directions as it relates to both awareness and advocacy of the industry to the general public and the various key stakeholder groups throughout the province.

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Superviseur du corps professoral :

Brian Soebbing

Étudiant :

Partenaire :

Alberta Recreation & Parks Association

Discipline :

Sociology

Secteur :

Arts, entertainment and recreation

Université :

University of Alberta

Programme :

Accelerate

LGBTQI2S Seniors’ Safety in Public Services

This project will result in a national environmental scan on LGBTQI2S seniors’ safety in health care, social care and municipal public services. It aims to identify promising policies and practices as well as systemic and structural barriers. It will also include the experiences of LGBTQI2S workers who serve seniors, a largely unexplored area. Egale Canada Human Rights Trust (Egale) and the Canadian Union of Public Employees (CUPE) are national organizations with common interests and distinct positions from which to influence change. They have identified this environmental scan as an important step in mapping out challenges and opportunities for collaboration and member engagement in education and advocacy. The results will be shared in a discussion paper, a fact sheet and lists of non/government service providers and champions, offering resources to improve safety for LGBTQI2S seniors and workers across the country.

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Superviseur du corps professoral :

Susan Braedley

Étudiant :

Partenaire :

Egale Canada Human Rights Trust

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

Carleton University

Programme :

Accelerate

Assessing the impact of STEM programming on children and youth.

In the twenty-first century, coding literacy provides individuals with a host of useful skills and competencies as well as accompanying psychological benefits. Yet, at present, very few pedagogical models or curricula include coding literacy as a central focus. STEM interventions, often found in after-school care programs and summer camps, help address this gap by offering targeted programming aimed at developing these competencies in children and youth. The present project will help assess the benefits and effectiveness of one of these programs by investigating how an exposure to STEM programming impacts the grit levels of the children in grades 1 through 8. This study will also assess the program’s structure, and include interviews with program participants assessing their experience.

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Superviseur du corps professoral :

Carolyn FitzGerald;Julie Mueller

Étudiant :

Partenaire :

Canada Learning Code

Discipline :

Sociology

Secteur :

Education

Université :

Wilfrid Laurier University

Programme :

Accelerate

Experimental testing and characterization of a new wireless heart pump

Heart failure is a common cardiovascular disease that is becoming even more prevalent worldwide. The current gold standard treatment for end-stage heart failure is heart transplantation. However, heart transplant therapy is a limited option due to the available number of donors, thus heart pumps emerged to offer circulatory support to patients in the heart transplant waiting list. Although heart pumps’ therapy improves the quality of life and survival rate, a significant number of patients still suffer from blood trauma adverse events such as infections and blood flow-channel obstructions, leading to further surgical interventions.
Therefore, blood trauma remains an unmet challenge in the field of mechanical circulatory suport. The purpose of this study is to experimentally test and characterize through in-vitro test rig different heart pump configurations of a new design. The primary outcome of the project is to select an optimal design that could eventually provide a long-lasting and minimally invasive wireless solution for patients with heart failure. It is believed that in the future, heart failure treatment will rely heavily on improved cardiovascular technologies that provide the reuired physiological function with the least invaiveness while remaining cost-effective. TO BE CON’T

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Superviseur du corps professoral :

Renzo Cecere;Rosaire Mongrain

Étudiant :

Partenaire :

Yale University

Discipline :

Life Sciences

Secteur :

Education

Université :

Research Institute of the McGill University Health Centre

Programme :

Globalink Research Award

Mechanical characterization of phage-coated implants for the prevention and treatment of periprosthetic joint infections in high risk patients

Caused by planktonic and biofilm drug-resistant bacteria on implants, periprosthetic joint infections (PJI) is one of the most devastating complication in orthopedics and is in line with forecasted rise in joint replacement. From the perspectives of patients, surgeons, hospitals, and health care system, PJI thus present a great unmet medical need, resulting in high morbidity, and even mortality, among affected patients. Therefore, clinicians would find invaluable a technology with a potential to manage PJI on implants. With the rise of antimicrobial resistance (AMR), a new technology to prevent or treat PJI would be invaluable.

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Superviseur du corps professoral :

L'Hocine Yahia

Étudiant :

Partenaire :

Phagelux (Canada) Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Accelerate

Modélisation d’un pont à thyristors dédié à l’excitation des machines synchrones dans le référentiel qd0

Les systèmes de production d’énergie basés sur l’utilisation de la force hydraulique utilisent une machine synchrone afin de convertir l’énergie mécanique en énergie électrique. Pour que ces machines fonctionnent, il faut fournir une puissance d’excitation sur la partie tournante de la machine (que l’on nomme système d’excitation.) Ce système d’excitation peut produire des courants électriques de grande intensité variant de 500A à plus de 3000A. Afin de contrôler ces courants, un convertisseur de puissance est requis. Il est proposé dans ce projet de recherche d’effectuer une modélisation de ce convertisseur afin de bien connaître ses réactions à diverses perturbations.

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Superviseur du corps professoral :

Handy Fortin Blanchette

Étudiant :

Partenaire :

ANDRITZ Canada Inc.

Discipline :

Engineering

Secteur :

Technology; Energy and Utilities; Advanced Manufacturing

Université :

École de technologie supérieure

Programme :

Accelerate

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