Projets novateurs réalisés

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

29 670 projets achevés

2811
AB
4990
C.-B.
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projets par catégorie

Predicting risk of unplanned hospital readmission within 30-days of discharge using machine learning approaches

Unplanned hospital readmissions are a preventable and costly outcome in the health care system. There are limited tools to estimate risk of readmission. The machine learning process offers an opportunity to develop a risk predictor to identify those at high risk of readmission upon discharge. OKAKI has an opportunity to diversify the commercial products it can offer to health care administrators.

Voir la description complète du projet
Superviseur du corps professoral :

Dean Eurich

Étudiant :

Partenaire :

OKAKI

Discipline :

Life Sciences

Secteur :

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

Université :

University of Alberta

Programme :

Accelerate

Improving Surveillance of Healthcare Associated Infections in Canada

People should never have to worry about getting an infection while in the hospital or in a long-term care home. Yet every year, many Canadians suffer harm and, in some cases, death following the development of an infection while receiving healthcare. Counting and reporting these infections is a very important step in the prevention of infections. However, the methods used to collect, and report infections differs across regions, provinces, and territories in Canada. This makes it difficult to know where problems exist, set goals for improvement, and monitor results across the country to be sure things are getting better. Every patient deserves safe care in Canada. This project will help protect Canadian patients from harmful infections by providing better information in order to intervene and provide prompt preventative actions.

Voir la description complète du projet
Superviseur du corps professoral :

Caroline Quach-Thanh

Étudiant :

Partenaire :

Canadian Patient Safety Institute

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Briser l’isolement des ainés en temps de COVID-19 grâce au système d’échange local mis en place par l’Accorderie de Sherbrooke

L’urgence sanitaire liée à la COVID-19 a forcé les ainés à adopter des mesures drastiques de confinement qui les mettent à risque d’un isolement. À long terme, ce confinement peut conduire à un désintérêt de la vie. L’organisme communautaire l’Accorderie de Sherbrooke, qui propose un système d’échange local entre ses membres, a mis sur pied dès le début du confinement un programme de jumelage entre un membre et un ainé pour les livraisons à domicile, générant 120 nouveaux membres. Dans un deuxième programme, l’Accorderie souhaite que les ainés renouent avec leurs proches en utilisant les applications informatiques pour communiquer avec eux et participer à des activités en ligne. À cause de la fracture numérique des ainés, l’Accorderie propose un jumelage d’accompagnement dans l’utilisation des outils informatiques. Devant l’afflux de nouveaux membres, l’organisme s’est tourné vers le laboratoire DOMUS pour développer deux axes de recherche : (1) évaluer les impacts des programmes sur l’isolement des ainés. En décrivant le réseau social des ainés, il s’agit de documenter les facilitateurs et obstacles qui réduisent l’isolement; (2) concevoir la structure logicielle des jumelages selon les chaines de blocs (crypto monnaies) pour s’adapter au contexte de COVID-19.

Voir la description complète du projet
Superviseur du corps professoral :

Hélène Pigot;Sylvain Giroux;Véronique Provencher;Sébastien Carrier

Étudiant :

Partenaire :

L’Accorderie des monts et des lacs

Discipline :

Computer science

Secteur :

Information and Communications Technology; New and Digital Media; Health and Related Sciences & Technology; COVID-19 related Research and Solutions

Université :

Université de Sherbrooke

Programme :

Accelerate

BCCSA Silica Control Tool Gap Analysis

Inhalation of Respirable Crystalline Silica (RCS) generated during construction activities such as cutting or grinding can cause lung cancer and the irreversible lung disease. Exposure to RCS is common on construction sites because silica is a naturally occurring mineral that is present in many construction materials. The Silica Control Tool is a risk assessment tool that was developed by the BC Construction Safety Alliance and the University of British Columbia to assist construction employers to create exposure control plans for managing the health risks of RCS on construction worksites. It uses an RCS exposure database to generate exposure estimates for construction activities both with and without exposure controls The Silica Control Tool was launched in 2017 and is freely available to all employers in British Columbia. It currently has over 2300 registered users. However, there remain gaps within the database which limit the applicability of the Tool. We aim to conduct on-site field measurements to determine the effect of these missing control methods to expand the applicability and effectiveness of the Silica Control Tool.

Voir la description complète du projet
Superviseur du corps professoral :

Hugh Davies

Étudiant :

Partenaire :

Aura Health and Safety Corporation

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Advancing Autonomous Thermalling of Unmanned Aerial Gliders

As Unmanned Aerial Vehicles (UAVs) become more ubiquitous, a special class of UAVs known as Unmanned Aerial Gliders (UAGs) promises to offer more efficient flight by using atmospheric energy to remain afloat. In order to facilitate the usage of UAGs in various applications, researchers have developed algorithms which allow for autonomous flight of UAGs. The developed algorithms, however, still lag in performance as compared to piloted UAGs, and require an extensive amount of calibration upfront, making them difficult to implement on gliders of various sizes and properties. The proposed work will focus on improving the decision-making of the algorithms, allowing them to capture more of the surrounding atmospheric energy and improving overall performance. Furthermore, the algorithms will be adapted to simplify the implementation process, making it easier to implement.

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Superviseur du corps professoral :

Meyer Nahon;Inna Sharf

Étudiant :

Partenaire :

TandemLaunch Inc

Discipline :

Engineering

Secteur :

Finance and Insurance; Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

Procédure d’audit et d’entretien des systèmes detraitement d’air dans les espaces confinés exposés à la COVID-19

La recherche consiste à développer et valider un protocole d’utilisation des tests de contamination d’air et de surface par d’ATP-metrie, afin d’évaluer le niveau de contamination des systèmes de climatisation d’espaces confinés exposés à la Covid-19. La première étape consiste à mesurer la qualité de l’air par la méthode ATPmetrie afin d’être en mesure d’établir un diagnostic. La seconde étape consiste à évaluer les performances du système de traitement d’air d’abord au niveau sanitaire, relativement au service rendu. À partir des résultats et livrables des étapes 1 et 2, l’étape 3 sera consacrée à la conception et au test de protocoles améliorés de test de contamination et de désinfection des systèmes de climatisation. L’étape 4 est la mesure des performances sanitaires des systèmes de climatisation après application du protocole de l’étape 3 et validation des résultats.

Voir la description complète du projet
Superviseur du corps professoral :

Claudiane Ouellet-Plamondon

Étudiant :

Partenaire :

Tecnea Canada Inc

Discipline :

Engineering

Secteur :

Agriculture; Professional, scientific and technical services

Université :

École de technologie supérieure

Programme :

Accelerate

Design, Fabrication and Evaluation of a Small Scale and Low Cost Vertical Garden Hydroponic System

The main goal of this research project is to develop a sustainable fruit and vegetable production system for households and small communities through design, fabrication and evaluation a small scale and low cost vertical garden hydroponic system. One of the major agricultural challenges faced by Newfoundland and Labrador (NL) is the lack of locally produced fresh vegetables, primarily due to major barriers such climate, soil and lack of know how. This food insecurity can further be aggravated under sudden situations like COVID-19 where availability of food a real challenge with transportation and production restrictions. Hydroponic growing system could be a reasonable solution to address acidic and nutritionally poor soil as well as climatic limitations in NL. We expect to address complexity, high initial capital cost, and the high-energy consumption issues through development of a small scale and low cost hydroponic system.

Voir la description complète du projet
Superviseur du corps professoral :

Lakshman Galagedara;Mumtaz Cheema;Raymond Thomas;Mano Krishnapillai

Étudiant :

Partenaire :

Easy Grows Inc.

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

Memorial University of Newfoundland

Programme :

Accelerate

COVID-19: optimisation opérationnelle d’un véhicule autonome de désinfection d’environnement intérieur

Depuis décembre 2019, le monde entier vit une pandémie sans précédent qui requière des solutions novatrices et efficaces telles que les véhicules mobiles de désinfection par rayon ultra-violet à longueur d’onde courte (UV-C) qui sont capables de détruire le virus. Dans ce contexte, une équipe de recherche de l’UQTR et de l’Université Carleton s’associe avec la compagnie Noovelia pour développer une plateforme mobile autonome afin d’en faire un outil de pointe pour les opérations de désinfection liées à la pandémie du COVID-19. Cette plateforme mobile de désinfection par UV C peut identifier en temps réel les surfaces à désinfecter par une caméra dans les lieux publics clos (bureaux, salles communes, chambres de patients, salles de classe, etc.). Si la surface à désinfecter est accessible par la plateforme, alors sa position est transmise au module de navigation autonome qui dirige le véhicule vers l’emplacement ciblé afin d’exposer cette surface aux rayons UV-C.

Voir la description complète du projet
Superviseur du corps professoral :

Sousso Kelouwani;Yves Dube;Kodjo Agbossou;Lionel Berthoux;Hicham Chaoui

Étudiant :

Partenaire :

DIVEL Inc

Discipline :

Engineering

Secteur :

Utilities

Université :

Université du Québec à Trois-Rivières

Programme :

Accelerate

Smart and Low-Cost Face-Shields Capable of Protection, Prevention and Detection for Essential Workers Fighting COVID-19 Pandemic

This project is in response to the COVID-19 pandemic and aims at developing a self-disinfecting personal protective equipment (PPE), such as goggles, and face shields, that are crucial to the safety of frontline workers. The low-cost, easy-to-implement fabricated end-product can be applied in both production and retrofit contexts. The approach embeds a thin layer of transparent conducting polymer in/on the PPE’s visor, integrated with a simple electronic circuit. Upon application of certain voltage, virus will be first detected and then inactivated by the generated heat of 60-65°C through the polymeric film electrode.

Voir la description complète du projet
Superviseur du corps professoral :

Mohammad Hossein Zarifi

Étudiant :

Partenaire :

Tangent Design Engineering

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Climate Risk Valuation – Mapping climatology to macro-economic indicators

Climate change is one of the greatest challenge society has ever faced, with increasingly severe consequences for humanity. Climate change also creates risks to both the safety and soundness of the individual firms and to the stability of the financial system. This will be felt both in the cost of direct losses to climate events, as well as the expense of adapting businesses to the new climate policies that will have to be met.
The aims of this project are to:
• Research climate modelling techniques, with a particular focus on mapping climatology to macro-economic indicators
• Develop models and estimate the impact of climate changes on financial institutions
• Measure and evaluate the short and long term risks through scenario analysis and stress testing.

Voir la description complète du projet
Superviseur du corps professoral :

Matheus Grasselli

Étudiant :

Partenaire :

Ernest & Young s.r.l.

Discipline :

Mathematics

Secteur :

Finance and Insurance

Université :

McMaster University

Programme :

Accelerate

Supporting Municipalities in Newfoundland and Labrador in navigating COVID-19

As a result of the COVID-19 pandemic, Municipalities in Newfoundland and Labrador have faced and continue to encounter challenges. They are also exploring new opportunities as they navigate what appears to be a new municipal world. Municipalities Newfoundland and Labrador (MNL) is working with its members on this navigation through regular engagement, survey work and one-on-one supports. The research question guiding this work is as follows: What are the best municipal practices for safereopening? Connected to this, we ask: what additional supports and information do municipalities need to navigate Life with Covid-19 in NL? Through the use of literature reviews, secondary data analysis and member engagement, MNL will provide best practice information and recommendations to its members based upon their needs and experiences.

Voir la description complète du projet
Superviseur du corps professoral :

Gary Thompson;Ashley Nguyen

Étudiant :

Partenaire :

Municipalities Newfoundland and Labrador

Discipline :

Business

Secteur :

Management of companies and enterprises; Professional, scientific and technical services; Public administration

Université :

College of the North Atlantic

Programme :

Accelerate

An efficient heuristic algorithm for laboratory analysis profile selection

In health care industry, the tests of laboratory analysis are organized and priced in the format of profiles. Each profile contains a specific group of tests. The price of a profile is usually lower than the sum of the prices of individual tests included in the profile. In this project, the intern will develop a special optimization algorithm for selecting test profiles and/or combinations of test profiles to cover the list of tests required by a patient. This is an important component to enable an online price estimation service provided by Medialpha. The service automatically calculates the price for conducting a set of lab analysis prescribed by a doctor. The service will intuitively guide patients through the price estimation process and intelligently help patients match non-standardized test abbreviations and codes in their requisition forms with the laboratory’s standard ontology. To achieve this objective, the intern will develop software interfaces which integrated the developed optimization algorithm with Medialpha’s existing Price Estimator modules. The superb user experience and time-saving benefits provided by the online price estimation system will attract more patients to obtain their laboratory analysis quotations through the online service.

Voir la description complète du projet
Superviseur du corps professoral :

Chun Wang

Étudiant :

Partenaire :

Medialpha Laboratories Inc

Discipline :

Engineering

Secteur :

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

Université :

Concordia University

Programme :

Accelerate

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