Projets novateurs réalisés

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

31 620 projets complétés

2978
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856
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696
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899
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9419
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9858
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98
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619
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Projets par catégorie

Dynamic Network Management and Performance Optimization for Smart Talk Beacon’s security architecture

Internet of things (IoT) systems require significant management related to external intrusions, internal threats, device failures, access management, and performance monitoring. In addition to network management issues, quality of service (QoS) must be maintained to predict changes and determine device and network performance. A good IoT system should be able to identify, track, and mitigate problems while dynamically adjusting its operation. Smart Talk Beacon’s architecture is based on a no-trust security framework where devices rely on authentication and encryption to securely communicate with each other. No-trust security framework in such systems is challenging and can pose vulnerabilities because of the heterogeneous nature of the end-to-end architecture. The main objective of this project is to analyze the QoS performance and propose a QoS algorithm in the Smart Talk Beacon’s IoT security architectur

Voir la description complète du projet
Superviseur du corps professoral :

Irfan Al-Anbagi

Étudiant :

Partenaire :

Smart Talk Beacon

Discipline :

Engineering

Secteur :

Information and cultural industries

Université :

University of Regina

Programme :

Accelerate

Améliorer la trajectoire de soin et de vie des aînés chuteurs ou à risque de chute par la mise en place d’activité physique à l’aide de gérontechnologie comme intervention en clinique externe de gériatrie

Ce projet vise à mesurer, d’une part, la faisabilité et l’acceptabilité d’un programme d’activité physique
faisant appel à une gérontechnologie auprès des aînés vivant en résidence pour personnes âgées et,
d’autre part, les bénéfices d’une telle d’intervention auprès de cette population. Nous faisons appel à
une technologie adaptée appelée Jintronix qui offre une variété d’activités simples, ludiques et
sécuritaires. Basé sur un système de détection de mouvements, ce système offre un feedback continuel
au participant et permet au kinésiologue de suivre à distance les progrès de chaque participant. En plus
d’évaluer la qualité du mouvement, Jintronix offre la possibilité d’adapter les paramètres des exercices,
tels que la vitesse et l’amplitude de mouvement ainsi que le nombre de répétitions, permettant de
personnaliser efficacement les programmes. Nous estimons que ce système pourrait favoriser la
pratique d’activités physiques chez les personnes âgées et, par conséquent, améliorer leur santé.

Voir la description complète du projet
Superviseur du corps professoral :

Mylène Aubertin-Leheudre

Étudiant :

Partenaire :

Jintronix

Discipline :

Life Sciences

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Université du Québec à Montréal

Programme :

Accelerate

Development and evaluation of AI-enabled planning algorithms for timber-harvesting machines using Vortex

Timber-harvesting is an important industry for Canada. For tree-cutting specifically, the industry employs large heavy-duty machines with crane-like manipulator arms which are driven by trained operators. The work involved in operating these machines is tiring, involves long hours in harsh conditions and as a result, there is presently a labour shortage for operators. It is therefore imperative to introduce AI and robotics into the operation of these machines in order to reduce the workload on the operators. In this project, we will be developing such algorithms for feller-buncher, harvester and log-loading machines. Our goal is to provide assistive technologies as an aid to the operator for planning the motion of the machine during the tree-cutting and log loading tasks. We will be implementing our algorithms on a training simulator at our industrial partner’s (CM Labs) premises and will use the simulator to conduct studies with operators. These studies will allow us to evaluate the benefits and deficiencies of our algorithms and identify further directions for this research. Through this project, we will also expand the c

Voir la description complète du projet
Superviseur du corps professoral :

Inna Sharf

Étudiant :

Partenaire :

CMLabs

Discipline :

Engineering

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

Multi-Document & Topic-Specific Summarization

This project’s goal is to build an algorithm that is able to understand and summarize content and sentiment from multiple sources based on a given topic or opinion. This algorithm would then be adapted into TrafficSoda’s existing infrastructure allowing them to maintain and grow a competitive advantage in our marketplace. It would also save the company a significant amount of time by making research and online content consumption much more streamlined

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Superviseur du corps professoral :

Glenn Heppler

Étudiant :

Partenaire :

TrafficSoda

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Accelerate

Innovative Design Experiences to Improve Mental Health

Mental health issues are common worldwide and affect people in many ways. These issues include changes and instability in personality and mood, depression and anxiety, withdrawal from events and activities, etc. Computational approaches, such as artificial intelligence (AI) and machine learning (ML), in the early detection of mental disorders are promising. Even though machine learning methods provide high-throughput results, these methods have many limitations in mental health care. The insights provided in mental health application mathematically are sound and valid, however, presenting those results without proper interpretations driven by mental health providers in this field have led to more complications and confusions rather than helping the users. Most apps are useless at best, and harmful at worst, due primarily to a disconnect between the designers building the apps and the providers in the field of mental health.
Refresh intends to offer a novel approach to address this ongoing challenge, in Canada and abroad. We are in the process of developing a comprehensive mental wellness platform that can be used in both individual and workplace settings to monitor and analyze mental health patterns, and generate appropriate solutions to address them. T

Voir la description complète du projet
Superviseur du corps professoral :

Raymond Spiteri

Étudiant :

Partenaire :

Refresh Enterprises Inc.

Discipline :

Computer science

Secteur :

Social Innovation; New and Digital Media; Health and Related Sciences & Technology

Université :

University of Saskatchewan

Programme :

Business Strategy Internship

Examining alternative community-based transportation services for older adults in British Columbia

Transportation is now recognized as a social determinant of health. And yet the current transportation system is not set up to meet the day-to-day needs of the aging population. Within the next decade, a quarter of the population in BC will be over the age of 65. As the population ages, a decline in cognitive and physical abilities will require people to give up driving. To promote healthy aging, we need to introduce, at scale, a range of reliable alternative transportation services for older adults. The Mitacs intern will work with the United Way and the Provincial Working Group on Seniors’ Transportation to advance our understanding of how older adults in BC navigate the driving cessation process and to identify best practices for alternative, community-based transportation services. The findings will ultimately be used to make recommendations to the Ministry of Health and Ministry Infrastructure and Transportation on how to support the mobility needs of older adults.

Voir la description complète du projet
Superviseur du corps professoral :

Meghan Winters

Étudiant :

Partenaire :

United Way British Columbia

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

Simon Fraser University

Programme :

Accelerate

Advanced modeling of induction heaters for environmental remediation

Soil contamination by petroleum and other heavy hydrocarbons is a major environmental concern. One way to address it is the in situ thermal remediation technology: the contaminated soil is heated up with an array of large heating devices, thus accelerating evaporation of the contaminants and cleaning the soil in a matter of months.
The goal of this project is to model a particular kind of heating device used in this approach: the induction heater. A typical induction heater consists of a highly conductive coil inside an electrically conductive casing. Once an alternating current is supplied to the coil, it sets up an alternating magnetic field inside the heating device, which in turn creates an eddy current inside the casing. According to the Joule–Lenz law, this eddy current generates heat inside the casing, which is then diffused into the surrounding soil.
We will create and validate a mathematical model for the behaviour of such heating devices, in particular for the magnetic field and the temperature distribution inside the device. This will require taking into account the effects of all relevant material properties and geometric parameters, such as conductivity of the casing and the shape of the coil. Once the model is complete, we will use it to optimize the design of the heaters and achieve the best possible power efficiency.
This project will extend existing mathematical models to make them more realistic and to determine the impacts of existing assumptions. This more advanced model will allow more faithful simulation of the devices to allow quick, safe and efficient computational experiments to reduce the number of test devices needed to be built and also to allow for better control of devices used in the field.

Voir la description complète du projet
Superviseur du corps professoral :

JF Williams

Étudiant :

Partenaire :

McMillan-McGee Corp

Discipline :

Mathematics

Secteur :

Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Design of asphalt mixes using pyrolysis products

This project will support a Master’s UNB student to investigate the impact of including pyrolysis products (bio-oil and biochar) in asphalt mixtures by designing asphalt mixes that meet the requirements set for pavement applications. The use of carbon-rich bio-oil and biochar; could positively impact the properties and rate of oxidation of asphalt materials. Also, the use of biomaterials contributes to the sequestration of carbon, preventing the creation and emission of carbon dioxide. Ensyn will provide the material (i.e. filter cake) to assess its potential use in pavement construction applications.

Voir la description complète du projet
Superviseur du corps professoral :

Xiomara Sanchez

Étudiant :

Partenaire :

Vyterra Renewables Inc.

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of New Brunswick

Programme :

Accelerate

Expérience de Recherche Franco-Canadienne

Sujet du stage :
L’étudiant effectuera un stage de recherche portant sur l’exploration de l’adéquation des besoins exprimés par les personnes vivant avec de la douleur chronique face aux soins de physiothérapie et les politiques cliniques et organisationnels des milieux de soins privés et publics de physiothérapie au Québec.
Des soins éthiques reposent sur la prémisse que les besoins des personnes qui requièrent les soins sont rencontrés par les institutions et les professionnels qui offrent ces soins. Le projet auquel va contribuer l’étudiant vise à mieux comprendre les besoins réels et concrets des personnes vivant avec de la douleur chronique afin de déterminer dans une phase subséquente du projet, si ces besoins sont véritablement pris en compte et répondus par les milieux publics et privés offrant de la physiothérapie au Québec.

Voir la description complète du projet
Superviseur du corps professoral :

Anne Hudon

Étudiant :

Partenaire :

Université Grenoble Alpes

Discipline :

Life Sciences

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

Delineation of Soil Management Zones for Variable-Rate Subsoiling to Mitigate Soil Compaction

The proposed research investigates the presence of sub-surface soil hardpans is one of the impacting factors. These are dense subsoil layers impervious to water and leading to soil structure degradation as well as a reduction in yield of most crops as they restrict plant available water. The project objective is to relate apparent soil electrical conductivity (ECa) with soil properties specific to soil compaction to delineate soil management zones (MZs) for subsoiling to mitigate soil compaction effects on soil properties.

Voir la description complète du projet
Superviseur du corps professoral :

Aitazaz Farooque

Étudiant :

Partenaire :

Prince Edward Island Potato Board

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Prince Edward Island

Programme :

Accelerate

Revealing the mechanism behind word-finding difficulties in older adults as detected by speech analysis software

When we get older, we tend to experience difficulties naming people, locations, and objects around us more frequently. Word-finding difficulties like these are not only sources of frustration but also crucial indications of a general cognitive decline. The company Winterlight Labs developed a software that analyzes natural speech for detection of cognitive decline and found that word-finding difficulties can be important cognitive indications. The proposed project aims at understanding the factors behind word-finding difficulties in aging while evaluating an online word-finding game as a cognitive assessment. The validation of the novel assessment can facilitate early detection of cognitive decline and support Winterlight Labs’ speech analysis technology as a fast, easy, and objective tool for detecting cognitive impairments. (118)

Voir la description complète du projet
Superviseur du corps professoral :

Jed Meltzer

Étudiant :

Partenaire :

WinterLight Labs Inc

Discipline :

Sociology

Secteur :

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

Université :

University of Toronto

Programme :

Accelerate

Homomorphically Encrypted FSM

Finite State Machine (FSM) is an essential part of any Intrusion Detection System. FSM is typically used to detect binary sequences that can represent virus signatures and traffic rules. In this project, we are working on an Oblivious Intrusion Detection System (Oblivious-IDS) which can work in cloud setting under a non-trusted system administrator with honest-butcurious adversarial model. A trusted server is responsible for designing the Oblivious-IDS using tools from Homomorphic Encryption libraries, while a cloud system administrator should be able to run the IDS without being able to know virus signatures and traffic rules that are being used. Since FSM is an essential part of any modern IDS, a homomorphically
encrypted version of the FSM is required.
Homomorphic Encryption (HE) is used to enable regular mathematical operations on encrypted data. The typical convection is that HE is used to protect the data, but not the circuit. Since FSM is essentially a circuit that was designed to detect data pattern, the circuit itself is not directly protected by HE. In this project, we will propose and study different methodologies to enable the design of secure, homomorphically encrypted FSM.

Voir la description complète du projet
Superviseur du corps professoral :

Mostafa Taha

Étudiant :

Partenaire :

Solana Networks

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Carleton University

Programme :

Accelerate

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Mitacs — Retour sur innovation

Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.