Projets novateurs réalisés

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

30156 projets achevés

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Projets par catégorie

Joint burst image denoising and deblurring

Capturing high quality images is a major selling point of modern flagship smartphones. However, due to physical constraints on sensor size, capturing a good image with a mobile phone is challenging especially in low-light conditions. To obtain a bright image, one has to use a long exposure or digitally gain up a short exposure image. The former will result in blurry images due to handshake and scene motion, and the latter will yield noisy images. We will explore methods that combine complimentary information from both types of images captured from two separate cameras synchronously. This is particularly interesting for Samsung since modern smartphones already have multiple rear-facing cameras that can be used for this purpose. In this project, we will build on state-of-the-art deep learning models for denoising and deblurring, and explore how to fuse them to jointly process synchronized short and long exposure images.

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Superviseur du corps professoral :

Marcus Brubaker

Étudiant :

Partenaire :

Samsung Electronics Canada

Discipline :

Computer science

Secteur :

Technology; Information and Communications Technology; New and Digital Media

Université :

University of Toronto

Programme :

Accelerate

Source-level change data capture of persisted smart-contract state

Smart contracts are computer programs on the Ethereum network. For a variety of reasons, such as security concerns, we would like to be able to analyze these smart contracts. However, the source code is only available for a limited subset of these contracts. But, the result of the compilation of these contracts, the bytecode, is available for all smart contracts. The main goal of this work is the decoding of smart contracts’ bytecodes. The path towards this goal is automated decompilation of the bytecode. But, current decompilation tools are not compatible with the ethereum bytecode. So, we will first translate ethereum bytecode into a form amenable to known decompilation approaches. Then, we will transform it into a program maintaining its original semantics and data.

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Superviseur du corps professoral :

Chen Feng;Victoria Lemieux

Étudiant :

Partenaire :

Covalent

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Design and Evaluation of Novel Histone Deacetylase 6 Inhibitors for Therapeutic Applications in Medulloblastoma and Glioblastoma

Brain cancers represent one of the most aggressive tumors that are especially challenging to treat through drugs, partially due to the inherent protection by the blood-brain barrier. Therefore, developing drugs that have specific chemical properties that allow them to cross the blood-brain-barrier, while simultaneously retaining their drug-like features is a heavily sought-after approach in treating brain cancers. One of the current approaches, is to target a protein called HDAC, a protein crucial in disease progression. Although there are 4 FDA-approved drugs that target HDAC6 on the market, they suffer challenges such as limited potency, selectivity, and brain penetration, resulting in limited therapeutic response while eliciting severe toxicities in patients. Herein, we aim to optimize our current molecules to enhance drug-like properties and evaluate their efficacy in relevant animal models to design better treatments

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Superviseur du corps professoral :

Patrick Gunning

Étudiant :

Partenaire :

HDAX Therapeutics

Discipline :

Life Sciences

Secteur :

Agriculture; Education; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Analyzing User Reviews of Mobile Applicationsusing Natural Language Processing

The proposed project is to research and develop a user review analysis system for mobile games using machine learning and natural language processing techniques. Traditionally, user review analyses are done by humans, which is inefficient and relatively slow. The project will involve research in the specific areas of topic modeling, sentiment analysis and opinion spam detection. The result of the research will be developed into a deliverable solution. One use of the review analysis system is to retrieve valuable information for the game development team in order to improve the game. It can also be used as a competitive intelligence tool to identify strength and weaknesses of competing products. EA All Play, the partner organization, is expected to be able to extract information about a given mobile game in an efficient and timely way.

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Superviseur du corps professoral :

Graeme Hirst

Étudiant :

Partenaire :

Electronic Arts Canada (Kitchener, ON)

Discipline :

Computer science

Secteur :

New and Digital Media; Technology

Université :

University of Toronto

Programme :

Accelerate

Building a Digital Twin of the Pearson Airport

In the proposed project, the GTAA will work with GBC faculty, students and graduates with the knowledge of the latest BIM technology tools and processes to help with the implementation of the innovative technological solutions in the Architectural and Engineering Data department. The interns will help the GTAA to create 3-dimensional Building Information Models (BIM) of Terminal 1 and 3 interiors, including collection and input of asset data, as well as models of MEP services and civil services in various areas of the airport. This will ultimately support the creation and utilization of the Digital Twins of the airport facilities, which will be used to enhance communication and collaboration, maximize efficiency, and minimize cost of construction and operations on the airport and thus support GTAA’s extensive capital improvement plan to provide world-class airport passenger and partner experience and slowly recover from the pandemic.

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Superviseur du corps professoral :

Elmira Nezami Far

Étudiant :

Partenaire :

Greater Toronto Airports Authority

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Transportation and warehousing

Université :

George Brown College of Applied Arts and Technology

Programme :

Business Strategy Internship

Producing high-purity rare earth metals

In line with NeoCtech’s strategic goal to make a circular supply chain of permanent magnets in North America, a techno-economically and environmentally friendly metallization of rare earth elements is still a serious challenge. This project is about developing an efficient and sustainable process to convert rare earth metal oxides to highly pure rare earth metals via a clean and viable process. The output, high-purity rare earth metals, has a commercial potential for manufacturing electronic products and high-performance magnetic motors without a risk of supply shortage. The ¬findings of this research can signi¬ficantly impact future rare earth refi¬ning processes through applying the innovative proposed method.

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Superviseur du corps professoral :

Jamal Chaouki

Étudiant :

Partenaire :

neoCtech Corp.

Discipline :

Engineering

Secteur :

Administrative and support, waste management and remediation services

Université :

Polytechnique Montréal

Programme :

Accelerate

LCA methodology for assessing the impacts of microfibers on marine ecosystem quality and application in a case study of activewear

In the proposed project, the intern will do a thorough environmental assessment of different activewear textiles. The methodology used is called life cycle assessment, and allows quantifying various environmental impacts (e.g. climate change, water use, impacts of toxic chemicals) among the entire supply chain (resource extraction, textile and cloth production, transportation, retail, consumer use of activewear and disposal). To date, life cycle assessment does not include a methodology for assessing the potential impacts of microfibers released during textile use and washing. Therefore, the first step of the internship will be to develop a methodology for quantifying environmental impacts from microfibers. Once the novel methodology is integrated into life cycle assessment, the next step will be to perform a thorough environmental assessment of different activewear fabrics chosen by the company Moov Activewear. Finally, the environmental assessment will help Moov activewear to guide their fabric design in a way that environmental impacts are minimized.

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Superviseur du corps professoral :

Anne-Marie Boulay

Étudiant :

Partenaire :

Moov Activewear

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Polytechnique Montréal

Programme :

Accelerate

Verification & Security of Blockchain Oracle Network Effects on Smart Contracts

Bitcoin! Ethereum! Blockchain! In the past year, these words made headline news globally. The promise of blockchain, or decentralized ledger-based technologies, it has electrified the world and created an excitement for technology that was last seen in the 1990s when the internet was entering mainstream. The core premise of the technology is that blockchains are secured by cryptography and economic incentives, and that they are governed by decentralized consensus. As such, it is critical that they are based on robust and sound economic and technological principles that enable good governance and safe societal welfare. And although today they work well in environments with small numbers of enthusiasts, it remains unknown whether they work when applied at scale. This project plans to investigate the execution of programming software modules that are executed on blockchains to test their functional correctness and specification against real-life events that trigger blockchain actions. It also plans to build safeguards around the execution of those programs in a blockchain environment.

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Superviseur du corps professoral :

Andreas Veneris;Fan Long

Étudiant :

Partenaire :

Bank of Canada

Discipline :

Computer science

Secteur :

Finance and Insurance; Manufacturing; Public administration

Université :

University of Toronto

Programme :

Accelerate

Reliability and validity of Bodiometer’s Postural Assessment App

Human posture and its relation to health have been studied by researchers in the fields of health, kinesiology and biomechanics. There are some advanced postural screening technologies, but they can only be found in specialized clinics. Bodiometer has developed a non-invasive, user-friendly, and affordable postural screening technology for mobile devices. This project aims to evaluate the validity and reliability of the Bodiometer mobile app for 2D postural analysis. This study will be implemented in three phases. Based on the results of this study, people such as physical therapists, chiropractors, coaches and other health and fitness professionals will be able to examine the usefulness of Bodiometer in a practical setting for measuring posture. It is also expected to apply the result of this study for achieving one of the practical purposes of using Bodiometer, to determine the range of normal posture of people of different ages, physical characteristics, sports activities and occupations.

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Superviseur du corps professoral :

Larry Katz;Reed Ferber

Étudiant :

Partenaire :

Bodiometer

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

University of Calgary

Programme :

Accelerate

Mechanistic Analysis of Cross-Coupling Reactions

Palladium-catalyzed cross coupling is one of the most powerful tools in modern synthetic chemistry, with is collaborative discovery recognised with the 2010 Nobel Prize for Chemistry. This class of reactions has had a huge impact on the way in which chemists think about building fine chemicals, because it allows for clipping of two molecules together to make a more elaborate one under mild reaction conditions. Despite its popularity in use, these catalysts have a mechanism and nature of the catalytically relevant species that is incompletely understood. We plan to combine our expertise to probe key mechanistic questions in palladium-catalyzed cross coupling reactions focusing on the catalyst activation process. This collaboration is aimed at building up a robust model of the chemistry and generate actionable recommendations for rational improvement of reaction protocols that identify areas for improvement, reduce catalyst consumption, and better utilize this precious earth resource.

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Superviseur du corps professoral :

J. Scott McIndoe

Étudiant :

Partenaire :

University of York

Discipline :

Physics

Secteur :

Pharmaceuticals; Sustainability & the Environment; Clean Technology

Université :

University of Victoria

Programme :

Globalink Research Award

Cooperative Primary Healthcare Data Sharing and Analytics NetworkInfrastructure

An increasing number of primary health care clinics have made the transition from paper-based record keeping to computer-based patient information systems, so-called electronic medical record (EMR) systems. One advantage of using EMRs is that data becomes more readily accessible for computerbased analytics in order to inform medical research and investigate compliance to clinical guidelines on evidence-based best practices. This vision of making primary care EMR data available for ncreasing quality of care and generating evidence for medical research requires a computer network infrastructure that allows connects all participating EMRs. Realizing such a computer network infrastructure poses significant research challenges with respect to informational privacy, security, and interoperability of heterogeneous EMR data models and system architectures. Objective of this project cluster is to address these challenges and develop software and system architecture in support of a computer network infrastructure for primary health care data sharing and analytics.

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Superviseur du corps professoral :

Jens Weber

Étudiant :

Partenaire :

Physicians Data Collective;Applied Information for Health Society;Osler Systems Management Inc;OSCARprn;OSCARwest EMR Services Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Victoria

Programme :

Accelerate

Texture et reconstruction et de surface à partir de point cloud non-structurés en utilisant des approches de champs vectoriel pour les puits miniers

L’objectif de ce projet est de développer une approche d’intégration de données provenant des nuages de points et des images dans le but d’obtenir un modèle 3D précis, complet et texturé. Le modèle 3D ainsi permet d’effectuer une inspection visuelle immersive à haute résolution et de procéder à des analyses structurelles précises assurant un suivi sur la stabilité générale du puits minier

Voir la description complète du projet
Superviseur du corps professoral :

Denis Laurendeau

Étudiant :

Partenaire :

Point Laz

Discipline :

Engineering

Secteur :

Mining

Université :

Université Laval

Programme :

Accelerate

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