Projets novateurs réalisés

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

29 670 projets achevés

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Projets par catégorie

Gold mineralization at the Engineer Mine, northernBritish Columbia: Its causes and consequences forlocal and regional gold exploration

The Engineer mine in Northwest B.C. is a historical producer of gold and silver that has
yet to be the focus of a comprehensive scientific study. The mineralization consists of a
series of high-grade, quartz-carbonate veins and is suspected to be related to nearby
volcanic rocks. The lower levels of the existing mine workings have been flooded since the
1920’s, but will be dewatered this summer. This will provide the first access to the lower mine
levels in c.1 00 years. The main objective of this study is to develop a deposit model for the
high-grade gold mineralization. This will provide a greater understanding of how gold
behaves at this locality and enable BCGold to select targets for exploration and mine
development. Sample material will be selected from the surface, underground mine levels,
and drill core, and investigated using modern analytical techniques, such as short wave
infrared spectrometry, fluid inclusion studies, isotope analyses, optical and Scanning Electron
Microscopy, whole rock geochemical…TOBECONT’D.

Voir la description complète du projet
Superviseur du corps professoral :

Lee Groat

Étudiant :

Partenaire :

BCGold Corp

Discipline :

Earth science

Secteur :

Mining

Université :

The University of British Columbia

Programme :

Accelerate

ADAJ- Pratiques juridiques controversées

La présente demande concerne le chantier de recherche sur les « Les pratiques juridiques controversées » :
Une partie des coûts de la justice est attribuable à des pratiques situées aux limites de la déontologie professionnelle : rapport collusoire entre praticiens, multiplication des dépenses douteuses, honoraires abusifs, exploitation de l’ignorance des justiciables, engagement dans des procédures qui auraient pu être évitées par un recours judiciaire à la Conférence de règlement amiable, introduction de procédures dans le cadre de dossiers dont les fondements en droit sont clairement faibles, etc. Des problèmes équivalents traversent sans doute la profession notariale.
Une étude sur les principales causes de dénonciation au Syndic du Barreau et sur leur issue, de même qu’une enquête menée auprès des praticiens permettra de compléter cet inventaire et conduira à une redéfinition des formations offertes en matière de déontologie professionnelle, particulièrement à la lueur du projet en cours de réforme du Code de déontologie des avocats.
Le chantier de recherche sur la « Les pratiques juridiques controversées » fait partie d’un grand projet de recherche en partenariat sur l’Accès au droit et à la justice (ADAJ) supporté par le Conseil de recherche en science humaines CRSH.

Voir la description complète du projet
Superviseur du corps professoral :

Pierre Noreau

Étudiant :

Partenaire :

Barreau du Québec

Discipline :

Sociology

Secteur :

Other services (except public administration); Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

COVID-19 : Nouveaux gels désinfectants comme alternatives aux désinfectants traditionnels

Depuis le début de la pandémie de COVID-19, notre vie sociale, professionnelle et personnelle a radicalement changé. Ce nouveau virus pose des défis inattendus y compris pour tous les médecins et personnels de santé. Bien que le virus ne soit pas dermatotrope, de nombreuses affections cutanées liées ont été identifiées, principalement en raison d’une utilisation excessive de gel hydroalcoolique. Les besoins importants en produits désinfectants pour la protection du personnel hospitalier, mais également des populations ont conduit à une pénurie mondiale en produits finis qui s’est répercutée immédiatement sur la disponibilité des matières premières. Ainsi au cours des dernières semaines, une pénurie d’alcool, mais également de gélifiant a causé une problématique importante au niveau de l’approvisionnement en désinfectant. L’industrie est depuis lors à la recherche d’ingrédients alternatifs pour réussir à développer de nouvelles formulations conformes à la réglementation. Dans le cadre de ce projet, les partenaires souhaitent donc s’associer pour développer un nouveau produit désinfectant, plus efficace, naturel, stable et reproductible, issu des ressources naturelles du Québec.

Voir la description complète du projet
Superviseur du corps professoral :

Lionel Ripoll;Jean Legault

Étudiant :

Partenaire :

Beemer

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

Université du Québec à Chicoutimi

Programme :

Accelerate

Detection of PPE in healthcare settings using machine learning

We propose utilizing real-time image detection of humans (visitors and healthcare workers) using personal protective equipment (I.e. masks, gloves, and gowns) in healthcare settings. This system would ensure proper compliance of PPE use to reduce the transmission COVID and other healthcare based infections, thereby saving lives, reducing hospital stays and costs. This builds off literature of the importance of strict adherence to best practices in hospitals as well as pathogen transmission from healthcare workers to patients via hospital uniforms. Authors of this work are students in AI program at Queens University.

Voir la description complète du projet
Superviseur du corps professoral :

Tina Dacin

Étudiant :

Partenaire :

Med Duck Solutions Inc.

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Queen's University

Programme :

Accelerate

Impact analysis of how COVID-19 will affect the Canadian Precast Concrete and Canadian Construction Industries

Naturally, the Precast Concrete and the Canadian Construction Industries are not going to come out of the COVID-19 crisis unscathed. The various players will all be affected in different ways. And of course, demand will fall sooner or later as the crisis continues, which will squeeze profits throughout the entire construction industry and the Canadian economy. This research will track some of the short and long-term effects of the COVID-19 crisis within the Precast Concrete and the Canadian Construction Industries.

Voir la description complète du projet
Superviseur du corps professoral :

Andrew Webb;Robin Ritchie

Étudiant :

Partenaire :

Canadian Precast/Prestressed Concrete Institute

Discipline :

Business

Secteur :

Construction; Sustainability & the Environment; Manufacturing and Construction; COVID-19 related Research and Solutions

Université :

Carleton University

Programme :

Accelerate

AI Modelling for Chat-text and Biometric Data Collection and Analytics for a Cloud-based Medical Advising Platform

Your Doctors Online is an online smartphone-based application that allows registered patients to chat with experienced and board-certified doctors 24 hours and 7 days a week. Patients can chat, upload images or videos, and get immediate medical advice about a variety of health issues such as cold and flu, sexual health and dermatology avoiding the lengthy waiting period of a hospital or a clinic. Currently patients need to use their own devices to measure their biometric data and the doctors have to look up previous doctors’ notes to provide an informed advice. In the proposed multidisciplinary research, Queen’s researchers will collaborate with the industry partner to enhance their existing platform with artificial intelligence (AI) models to apply 1) natural language processing and deep learning techniques to extract and summarize important health information from the previous chats with a patient, and 2) computer vision techniques for Remote Photoplethysmography (rPPG) to measure patients’ heart rate, blood pressure, and oxygen saturation from an uploaded video. The added functionality will reduce the cognitive load of the doctors, improve patients’ experience, increase the performance and business value of the application and leverage remote health care services to patients around the globe.

Voir la description complète du projet
Superviseur du corps professoral :

Farhana Zulkernine

Étudiant :

Partenaire :

Your Doctors Online

Discipline :

Computer science

Secteur :

Health and Related Sciences & Technology

Université :

Queen's University

Programme :

Accelerate

Preparation of an injection molding stainless-steel tool and optimization of the processing parameters to fabricate superhydrophobic silicone rubber insulators

This project is defined to mitigate the problems associated with the accumulation of ice and pollution on the high-voltage insulators and subsequent flashover and power outage. Superhydrophobic surfaces, having a controlled combination of low surface energy materials and surface roughness, are one of the best candidates for icephobic and self-cleaning applications. As the high-voltage silicone rubber insulators are manufactured using injection molding systems, this project aims to prepare an industrial injection molding system for fabrication of superhydrophobic insulators. To this end, proper surface features (in micro- and nanometer size) will be created on the injection molding tool. The molding parameters will also be modified to properly replicate the tool’s patterns on the silicone rubber surface. Consequently, the produced silicone rubber insulator, having surface micro-nanofeatures, will acquire superhydrophobic and subsequent icephobic and self-cleaning properties. This project can put the partner organization as the leading enterprises in the field of electrical transmission lines in Canada and worldwide.

Voir la description complète du projet
Superviseur du corps professoral :

Reza Jafari;Gelareh Momen

Étudiant :

Partenaire :

K-Line Insulators Limited

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Université du Québec à Chicoutimi

Programme :

Accelerate

STRUCTURAL HEALTH MONITORING AND LIFE PROGNOSIS OF COMPOSITE STRUCTURES

Structural Health Monitoring/Management (SHM) through adequate prediction of the remaining useful life of structures is a major area of interest for the aerospace community, especially considering aging aircraft where the growing maintenance costs can reduce their economic life. Also, composite structures due to their high strength-to-weight ratios, high stiffness, inherent corrosion resistance, and improved fatigue performance offer many advantages over the conventional metallic materials, and therefore are utilized in a variety of load bearing structures such as helicopter rotor blades, aircraft fuselage, rib chord, trailing edges, and cargo doors. This makes the understanding and then improving durability of composite structures very critical. Recent aircraft structural failures caused by undetected faults have resulted in a change in philosophy in design and maintenance of aircraft from fatigue safe-life to damage tolerance….

Voir la description complète du projet
Superviseur du corps professoral :

Afzal Suleman

Étudiant :

Partenaire :

Harwood Custom Composites

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Victoria

Programme :

Accelerate

COVID19 and Disclosure of Risk in Energy Exposed Sectors

COVID19 has accelerated shifts in the global energy market such that energy companies and banks may be impacted in the medium to long term. At the same time, the decarbonization of the world’s highest carbon sectors present opportunities for alternative energy carriers. For investors and policy makers it is important to understand the scope and scale of these potential changes both from the point of view of individual companies as well as entire sectors. In turn, this presents an opportunity to identify capital investment flows aligned with decarbonization through these new energy carriers. This project aims to develop novel and scalable ways to understand financial trends by analyzing current economic factors – financial data, annual reports, forecast reports, as well as various developing events focused on carbon-based and alternative energy sources. To do so, we will first leverage and fine tune state-of-the-art tools in text mining and natural language processing to automate information extraction steps performed manually by human experts, contributing domain-specific corpora and resources for the research community.

Voir la description complète du projet
Superviseur du corps professoral :

Denilson Barbosa

Étudiant :

Partenaire :

Analytica Advisors

Discipline :

Computer science

Secteur :

Management of companies and enterprises

Université :

University of Alberta

Programme :

Accelerate

Novel Portable Sensor to Reveal “Hidden” COVID-19 Infection

In Canada, as of April 21, only 569,878 people (~1.5% of the population) have been tested, with more than 38,413 positive COVID-19 cases identified; yet most people, including the asymptomatic COVID-19 cases, are not eligible for testing. Given that as many as 45% of all COVID-19 cases lack the known symptoms, or so-called asymptomatic cases, up to an estimated 17,000 cases could be asymptomatic and thus endangering public health. Moreover, these symptoms are not observed in the early stages of the disease, even in symptomatic cases.
Early detection and isolation of COVID-19 cases, especially asymptomatic cases, is therefore crucial for controlling this outbreak, and a novel method to identify asymptomatic cases is urgently needed. In response to this urgent situation, we propose a rapid solution to identify asymptomatic and presymptomatic cases through early detection of a “hidden” symptom. We will combine microfluidic, microelectronic, and open-JFET (junction gate field-effect transistor) sensing techniques to develop a safe, low-complexity, rapid, and easy-to-use technology to fight COVID-19. The proposed technology would allow rapid testing at home using a portable sensor to evaluate disease progress or treatment, eliminating the need to break quarantine (which could potentially infect others) as part of follow-up testing.

Voir la description complète du projet
Superviseur du corps professoral :

Ebrahim Ghafar-Zadeh

Étudiant :

Partenaire :

CMC Microsystems

Discipline :

Engineering

Secteur :

Health and Related Sciences & Technology; Technology; Nanotechnology; COVID-19 related Research and Solutions

Université :

York University

Programme :

Accelerate

The Acquisition of Land for Community Benefit: Dynamics of Organizational Structure and Management

Union: Sustainable Development Co-operative (Union Co-operative) seeks to democratize city-building by empowering its members to collectively buy, upgrade, and manage commercial and residential properties to improve the environmental, social, and economic health of Waterloo Region. This project will support the evolution of the Co-operative’s model, the development of affordable housing for refugees, and create templates that can be implemented by other communities seeking to establish affordable rents and community control of property. COVID-19 highlights the critical importance of adequate and affordable housing for sheltering in place, and the need for additional capacity to welcome refugees as the United Nation predicts increased global instability.
The research will utilize document analysis, interviews, focus groups, and facilitated design sessions.

Voir la description complète du projet
Superviseur du corps professoral :

Olaf Weber;Sean Geobey;Anthony Piscitelli

Étudiant :

Partenaire :

Union: Sustainable Development Co-operative

Discipline :

Sociology

Secteur :

Real estate and rental and leasing

Université :

University of Waterloo

Programme :

Accelerate

Semi and weakly supervised clinical data labelling for deep learning NLP

We are building a machine learning algorithm to be able to better understand the messy clinical notes that doctors write on patients and to automatically structure them. This will help hospitals and healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick COVID patients are and how they are improving over time.

Voir la description complète du projet
Superviseur du corps professoral :

Bo Wang;Gary Bader

Étudiant :

Partenaire :

Semantic Health Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

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