Projets novateurs réalisés

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29 670 projets achevés

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Projets par catégorie

Qualitative Data Collection for Development of an Electronic Application to Promote Home-Based Self-Care in Older Heart Failure Patients: Patient and Informal Caregiver Perspectives

Heart failure (HF) is one of the leading causes of hospitalization and rehospitalization in older adults, yet the majority of HF-related readmissions are preventable if patients can manage their treatment at home. One method to help patients who require extra assistance in following their treatment is through mHealth applications. However, these applications are not usable for many older patients due to their complicated design. Within this study, we will have HF patients and their caregivers evaluate our current HF-app to determine if it helps tackle the challenges they face with their treatment. We will use this feedback to help design a more simple, user-oriented application with our partner Pulse Infoframe. The development of this application will be used as an additional tool for Pulse Infoframe’s current patient portals and patient-reported outcome framework. Furthermore, this user-centered HF-app will serve a greater purpose by helping patients better manage their care at home.

Voir la description complète du projet
Superviseur du corps professoral :

Catherine Demers

Étudiant :

Partenaire :

Pulse InfoFrame Inc

Discipline :

Life Sciences

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

McMaster University

Programme :

Accelerate

Privacy Preserving Federated Learning – Year two

By virtualizing all the various appliances in the network, Network Function Virtualization (NFV) became a key enabler for the coming 5G infrastructure and nowadays a major shift is under way bringing an evolution to cloud-native NFV. In the latter operational model, applications are decomposed into microservices running inside containers to enable automated installation, configuration and scaling with the dynamic network requirements beside self-healing and automated upgrading and updating of the VNFs. Pre-provisioned rules are expected to become less important over time as Artificial Intelligence (AI) enable smarter interpretation of data and hence better reaction accordingly for efficient management of VNFs.
Centralized AI is by far the most common architecture for such analysis. However, such application has significant drawbacks ranging from high transfer cost, latency and hence slow inference to even more critical situations of diminished privacy. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Chamseddine Talhi

Étudiant :

Partenaire :

Ericsson Canada Inc (Montreal, QC)

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

École de technologie supérieure

Programme :

Elevate

Application of deep learning in perception and navigation of mobile robotics

Mobile robotics are playing an increasing important role in many areas such as delivery, house cleaning, homecare, etc. How to increase the capability of robotics in perception and navigation is an on-going problem for decades. Due to the dynamic and uncertain chrematistics of the environment, it is still challenging for real application. In recent years, deep-learning has significantly changed the world in many sectors. It greatly enhanced the development of visual perception, object detection, speech recognition, natural language processing, etc. It provides an end to end learning structure that captures representations from big training data. In this project, deep learning techniques will be investigated and used to improve the current approaches for visual perception, path and motion planning of robotics to achieve satisfactory performance for real application.

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Superviseur du corps professoral :

Clarence W de Silva

Étudiant :

Partenaire :

Vestorch Technology Ltd

Discipline :

Engineering

Secteur :

Manufacturing

Université :

The University of British Columbia

Programme :

Accelerate

Sparse Multivariate Polynomial Factorization

Factoring large polynomials is one of the main tools provided by mathematical software packages like Maple. It is used by scientists, engineers and mathematicians directly to simplify and study large formulas. It is also used inside Maple to do other tasks such as solving systems of polynomial equations. This project proposes to dramatically improve the speed of polynomial factorization so that larger polynomials can be factored and factored quickly, for example, in minutes instead of
days. The project proposes to integrate the new algorithms into the Maple software package so that this capability may be easily accessed by Maple users.

Voir la description complète du projet
Superviseur du corps professoral :

Michael Monagan

Étudiant :

Partenaire :

Maplesoft

Discipline :

Mathematics

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Accelerate

Faecal sludge desiccation rates for optimal design of passive ventilation sanitation systems

VIP latrines and the Aerosan emergency toilet demonstrate tremendous potential for achieving in situ faecal sludge treatment objectives in volume reduction, odour control, etc. In order to determine the potential to scale, lab-based studies and field validation are required to optimize the design. This project seeks to optimize faecal sludge desiccation by simple enhanced passive ventilation to reduce the waste to be taken off site by 75% in volume. By reducing the desludging frequency this project would substantially reduce the costs of desludging an quantities of faecal sludge that requires handling. Thereby, this project would be addresssing knowledge gap with regard to faecal sludge a volume reduction in emergency settings with benefits for latrine users in urban, peri-urban areas, and refugee/IDP camp contexts.

Voir la description complète du projet
Superviseur du corps professoral :

Caetano Dorea

Étudiant :

Partenaire :

Aerosan

Discipline :

Engineering

Secteur :

Manufacturing; Other services (except public administration)

Université :

University of Victoria

Programme :

Accelerate

Upgrading of heavy and high-contaminant Hydrofaction™ Oil, to fuels blendstock with the use of Catalytic Steam Cracking

The Project’s objective is to continue the upgrading work executed in the previous MITACS Converge project with a larger focus on more challenging biocrude oils such as heavy fractions, high viscosity, high nitrogen, high ash oils that are produced from feedstocks such as “feed gate residues” in the form of manures, biosludges and organics from municipal waste. The performance objective remains to optimize and scale up the upgrading of Hydrofaction™ Oil to blendstocks for transport fuels. The main challenge in upgrading Hydrofaction™ renewable crude Oil from such sources is not only the oxygen content of the oil but also the high viscosity, sulfur, and inorganic contaminants. Catalytic Steam Cracking is the pathway of choice in this Project for removing this oxygen and contaminants. The upgraded oil should achieve low Total Acid Number (TAN), low oxygen, low nitrogen, low minerals content and an improved distillation profile. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Pedro Pereira-Almao

Étudiant :

Partenaire :

Steeper Energy Canada Limited

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Calgary

Programme :

Accelerate

Privacy Preserving Federated Learning

5G, cloud and IoT confederation vision is to revolutionize the internet by fostering billions of interconnected mobile and embedded devices, sensors, and services, exchanging information in order to build smart, self-conscious autonomous environments. Yet, the ubiquity and value of connected devices and their applications cannot hide their security and privacy challenges. The enormous amount of data sensed and communicated over a fusion of heterogeneous networks, became an increasingly attractive target for cybercriminals. Meeting security requirements is challenging due to devices limited computational capabilities and scalability of massive connected terminals. Likewise, privacy preservation, authentication and authorization are crucial as exchanged data creates more entry points for hackers, leaving sensitive information vulnerable. Ericsson takes an overall approach to bring a comprehensive portfolio of security services, products and solutions to address an enormous need in the market. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Chamseddine Talhi

Étudiant :

Partenaire :

Ericsson Canada Inc (Montreal, QC)

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

École de technologie supérieure

Programme :

Elevate

VAL-083 combination therapies in chemo-resistant pediatric CNS cancers

More children die from brain cancer than from any other disease in the western world. Many anti-cancer drugs are unable to cross the blood-brain barrier to reach the tumor and certain genetic mutations in the tumor cells increase resistance to chemotherapeutics. The novel chemotherapeutic drug VAL-083 readily crosses the blood-brain barrier and accumulates in brain tumor tissues and has documented activity against pediatric brain tumors in historical clinical trials. VAL-083 has a distinct mechanism of action that enables it to overcome common chemo-resistances, as well as work synergistically with drugs of the topoisomerase inhibitor family. This project aims to identify topoisomerase inhibitors that display maximum synergy with VAL-083 in selected pediatric CNS tumors and examine the tolerability of these combinations. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Mads Daugaard

Étudiant :

Partenaire :

Del Mar Pharmaceuticals Ltd

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Développement des procédés d’extraction des métaux présents dans les peintures résiduelles à base d’eau

Les entreprises du secteur de peintures et revêtements sont des contributrices importantes de l’économie canadienne. Le futur de ces entreprises dépend de leur capacité à s’adapter rapidement au développement de nouveaux produits satisfaisant les besoins du marché. La consommation des peintures et revêtements génère de grands volumes de résidus, et leur gestion représente d’énormes défis environnementaux et économiques. La haute teneur en composés métalliques d’intérêt industriel permettrait de considérer ces résidus comme un gisement de matières premières pour la même industrie ou pour l’industrie chimique. L’extraction sélective de composés métalliques est basée sur des principes de l’hydrométallurgie (lixiviation, précipitation) de composés métalliques présents dans les solides de peintures résiduelles obtenus après leur conditionnement (déshydratation, séchage, dégradation thermique, lavage). Les solides métalliques récupérés pourront être utilisés par plusieurs secteurs industriels développant des chaînes d’approvisionnement circulaires de matières premières.

Voir la description complète du projet
Superviseur du corps professoral :

Satinder Kaur Brar;Antonio Avalos Ramirez

Étudiant :

Partenaire :

Société Laurentide Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Accelerate

Content Delivery Networks to the Home

CONTENT Delivery Networks (CDNs) are large distributed infrastructures of replica servers placed in strategic locations. They deliver content to end-users with reduced latency by replicating content on surrogate servers. However they face a major challenge when content is delivered to end-users accessing a same content in home settings: inefficient bandwidth usage in the access network. There are as many streams from the replica server as end-users accessing the same content. It should be noted that although multicast is implemented on most routers, Internet Service Providers (ISP) generally do not enable multicast on their network. The ley reason is that RTP on multicast did not provide an attractive platform for delivery multimedia over the Internet for a host of reasons. This project aims at tackling the problem of inefficiency in bandwidth usage. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Roch Glitho

Étudiant :

Partenaire :

Ericsson Canada Inc (Montreal, QC)

Discipline :

Engineering

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Concordia University

Programme :

Accelerate

Identification of medical marijuana cultivars with great potential for therapeutic application

The proposed project will use classical animal models to investigate the therapeutic effects and associated side effects of extracts from the whole plant of different strains of cannabis. The targeted medical conditions include pain and chemotherapy induced nausea and vomiting (CINV). Our data and results will play a key role in pre-screening of cultivars to obtain best candidates suited for particular medical conditions, or that have lower side-effect liability. Our partner, Cannevert Therapeutics Ltd, will use our data to get more resources to conduct related clinical trials, fund studies to research other potential medical indications, and develop cannabis based drugs. It’s hoped that this work will minimize the risk of failures and cost of clinical trials by our industry-standard preclinical models.

Voir la description complète du projet
Superviseur du corps professoral :

Alasdair Barr

Étudiant :

Partenaire :

Cannevert Therapeutics Ltd

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Mechanically compliant soft robotic grippers for automated harvesting

Automated harvesting of horticultural produce is an opportunity for Canadian farmers to improve the quality of yield, reduce labour costs, and increase revenues. The research project will focus on the design and development of soft pneumatically-driven robotic grippers that conform to the natural shape of delicate produce, such as mushrooms, in an effort to minimize crop damage during harvesting. The operating principle of the proposed grasping mechanism is based on the concept of a pneumatic artificial muscle. The soft gripper will be analyzed in terms of mechanical flexibility, pressure distribution on the target object, gripping response times, and damage to the picked produce (i.e. mushroom). The performance of the soft gripper will also be compared to the traditional passive vacuum cup grippers for picking fragile mushrooms in a large scale commercial growing bed.

Voir la description complète du projet
Superviseur du corps professoral :

George Knopf

Étudiant :

Partenaire :

Vineland Research and Innovation Centre

Discipline :

Engineering

Secteur :

Agriculture and Food; Technology; Energy and Utilities

Université :

Western University

Programme :

Accelerate

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