Projets novateurs réalisés

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

30 508 projets complétés

2882
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5105
C.-B.
825
MB
681
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860
SK
9051
ON
9491
QC
97
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586
NB
1141
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Projets par catégorie

Decentralized Services for Sharing and Searching User Generated Data

The existing model for applications and services on the internet is a centralized client server model where user
information is under the control of the service provider. As such as centralized model, albeit cost-efficient and
easy to maintain, has created dire consequences for humanity. Hence, for the proposed research project, we aim
to provide tools and algorithms for a decentralized and location-aware experience on the Internet. Individuals,
businesses, and institutions will make and qualify connections between one another by considering their trust for
each other and the “network-trust” by way of vouching for others within the network. This new paradigm requires
further research and development in areas including search, database, performance, and security, all within a
decentralized environment to maximize our commercial and social impact.

Voir la description complète du projet
Superviseur du corps professoral :

Cuneyt Gurcan Akcora;Carson Leung

Étudiant :

Partenaire :

Protegra

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Manitoba

Programme :

Accelerate

Antireflective nano-patterned surface treatment for glass

Based at Montréal, Canada, Edgehog specializes in anti-reflection and other light management solutions for displays and lighting applications. Their nanostructuring technology aims to enable full display readability from all angles in direct sunlight and reduced power consumption through lowered screen brightness. As their current technology proofs the concept at lab scale, further research is needed to find scalable fabrication processes for successful technology transfer to industry level. During the proposed project, an academic intern will help find a scalable fabrication processes that is compatible with state-of-the-art devices. Results of the study will be transferred to Edgehog supporting this Canadian company in successfully entering this market internationally at large scale. This will help position a Canadian company at the forefront of this key market in the electronics and solar industries, leading to the creation of new knowledge on high-precision advanced manufacturing technologies and the creation of new jobs, and thereby provide a benefit to Canada overall.

Voir la description complète du projet
Superviseur du corps professoral :

Lucas Hof;Ricardo Zednik

Étudiant :

Partenaire :

Edgehog Advanced Technologies Inc.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

École de technologie supérieure

Programme :

Accelerate

Risk Assessment of Riverbank Stability Subjected to Construction Induced Vibrations

The stability of riverbanks has always been a concern for land-use planners, stakeholders as well as the Cities around the world. Construction activities can generate different types of dynamic waves and vibrations. Operations such as blasting, pile driving, dynamic compaction of weak soils, and machines with impact loads such as forge and drop hammers are the primary sources of construction or industrially induced deleterious ground vibrations leading to compromising the integrity of the soil medium and consequently, the instability of the slopes.
The research will be concentrated on performing a numerical model based on the actual case-studies in Winnipeg city using the Finite Difference Method coupled with the Limit Equilibrium Method. The field monitoring data will be used to calibrate the numerical model. The numerical model can predict the substantial aspects of liquefaction, dynamic settlement, and predominant failure patterns. Using the state of the art approaches in the risk assessment and sensitivity analysis, a new vibration threshold based on the vulnerability of intact and reinforced riverbanks slopes will be introduced.

Voir la description complète du projet
Superviseur du corps professoral :

Pooneh Maghoul

Étudiant :

Partenaire :

Vibro Impact Inc

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

University of Manitoba

Programme :

Accelerate

Impact of dark chocolate consumption on glucose levels of people with diabetes

Blood sugar levels increase after the consumption of food. Especially in sugary foods such as candy or chocolate, this increase in blood sugar will be more pronounced. In individuals with diabetes, who may require tracking of carbohydrates and food or injection of insulin following a meal, foods such as chocolate are suggested to be avoided. However, no-sugar dark chocolate from Ross Chocolates, which is sweetened with a mixture of inulin, erythritol, and stevia, may offer an alternative to conventional dark chocolate as the mixture of sweeteners is not expected to cause a significant increase in blood sugar. This project aims to compare the blood sugar levels following consumption of Ross dark chocolate bar with a conventional dark chocolate bar.

Voir la description complète du projet
Superviseur du corps professoral :

Jonathan Little

Étudiant :

Partenaire :

Ross Chocolates

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Thermodynamic Modeling and Optimization of Pressurized Liquefied Natural Gas in the Presence of Solvent

The current research project aims to assess the PLNG storage condition for obtaining higher methane density. The liquified natural gas/methane is supposed to be shipped into the PLNG terminals. The PLNG market demands high methane density with a trace ethane. To make this happen, the solvent (e.g., C5, C6, and C7) are added to the natural gas for C2+ absorption purpose. Finding optimal pressure, temperature, and solvent composition avoid energy and money loss over the PLNG process. energy consumption minimization in the LNG and PLNG plants is of primary importance as several compression and liquefaction facilities are involved. Thus, toward the optimized operation, the partner organization will be benefit from energy efficient operation as well as achieving high methane density.

Voir la description complète du projet
Superviseur du corps professoral :

Sohrab Zendehboudi

Étudiant :

Partenaire :

CanaGas Inc.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Named Entity Recognition (NER) autodetection and Adverse Events (AEs) prediction from Social Media and scientific journals using a Deep Learning approach

Social medias data bases are important for continuous and automated Adverse Drug Reactions (ADRs) surveillance. Predicting ADRs can reduce the related mortality. A systematic review of the medical scientific literature is required for tracking and identifying the risk/benefit ratio of drugs and safety issues.
The implementation of means of standardizing patient’s language used in social media such as Twitter will improve the precision of ADR detection and continuous surveillance at post-marketing phase of drugs (off-label drug uses included). The required processing flow will be improved with labeling mechanisms enhancing machine learning algorithms that can make them more accurate.

Voir la description complète du projet
Superviseur du corps professoral :

Sylvie PERREAULT;Chahé Nerguizian

Étudiant :

Partenaire :

Medvalgo Group

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Suivi expérimental qualitatif et quantitatif d’unjardin de pluie en climat nordique

Cette étude vise à déterminer le niveau de performance du jardin de pluie aménagé dans les conditions
du climat nordique. Les résultats du suivi expérimental qui seront obtenus devront permettre de mettre
en évidence les points forts et faibles du système implanté à Longueuil, afin d’en améliorer le
fonctionnement en climat froid aussi bien en termes quantitatif que qualitatif. Le potentiel de
réutilisation domestique des eaux pluviales capturées par cet ouvrage sera aussi étudié.

Voir la description complète du projet
Superviseur du corps professoral :

Musandji Fuamba

Étudiant :

Partenaire :

Vinci Consultants

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

École Polytechnique de Montréal

Programme :

Accelerate

Large Scale Simulations of Photonic Quantum Computers

Current quantum computers are in the “NISQ”, or Noisy-Intermediate-Scale-Quantum regime. The true potential of quantum computing will only be realized when noise levels are reduced or controlled, and large scale is achieved. Xanadu’s approach is to use photonic technology as the building blocks of their machines. This project addresses two related questions concerning the future development of these machines: A – In which conditions does a photonic quantum computer reach quantum advantage (demonstrating large speedups compared to today’s most powerful conventional computers)? B – What are the resources required to build a scalable, fault-tolerant photonic quantum computer? This project will provide the team with a better understanding of the requirements and tradeoffs involved in the future, much larger-scale generations of quantum photonic hardware that must be built in order to fully realize the potential of quantum computing.

Voir la description complète du projet
Superviseur du corps professoral :

Hoi-Kwong Lo;John Sipe;Henry Yuen

Étudiant :

Partenaire :

Xanadu

Discipline :

Computer science

Secteur :

Information and cultural industries; Manufacturing; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Digital Transformation of Automotive Industry: Action Design Researchand Startup for Last Price Recommendation Engines

The Automotive Industry is one of the most mature and has undergone several waves of digital transformation. We focus on one segment of the value chain where IT adoption has not yet had the expected impact, namely dealer-prospect relationship management. While Customer Relationship Management (CRM) solutions and methods have been widely adopted, there remains several issues as to how to properly match the right prospect with the most appropriate dealer. The channeling of prospects is relatively mature and well structured, but there remain significant issues to raise mutual satisfaction of both parties who must, on both sides, find their respective “best deal” more rapidly and efficiently. To shed new light on this challenge, as it requires more hands-on empirical analysis, we propose an Action Design Research (ADR) methodology helping a new startup in developing an innovative Last Price Recommendation Engine. The purpose of these internships will be to systematically analyze where process innovations may be possible, and to successfully implement these requirements into a new recommendation engine hosted on the domain name http://lastprice.ca

Voir la description complète du projet
Superviseur du corps professoral :

Stéphane Gagnon

Étudiant :

Partenaire :

eSano Communications Inc.;Centre de recherche en technologies langagières

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

Université du Québec en Outaouais

Programme :

Accelerate

Performance mapping, modelling, and development of membrane-based energy recovery ventilation exchangers

Membrane based energy recovery ventilation (ERV) is now a key component of most energy efficient modern buildings. ERVs improve the indoor air quality of buildings through ventilation and reduce the energy cost of ventilation by using building exhaust air to pre-condition fresh building supply air. In cooling conditions heat and humidity are removed from the incoming air and in heating condition heat and moisture are added to the incoming air. The membrane in the device allows the transport heat and moisture without transport of other gases and contaminants from the exhaust air to the supply air. Better models are required for predicting performance of exchangers of different geometry, materials, and assembly methods. In this project students will assist in testing, prototype assembly, and analysis of exchangers and develop improved performance models for membrane-based ERVs.

Voir la description complète du projet
Superviseur du corps professoral :

Steven Rogak

Étudiant :

Partenaire :

CORE Energy Recovery Solutions

Discipline :

Computer science

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Innovation in Expanded Pharmacy Care Health and Wellness Approaches in the Grocery Retail Environment

Health care systems in Canada and countries around the world are challenged by increasing
demands for services, while providing those services within fixed health agency budgets. To address
these challenges, the Ivey International Centre for Health Innovation, Loblaw Company Limited and
Green Shield Canada has formed a collaborative partnership. The proposed research will engage
academic and industry researchers, key decision-makers, pharmacists and dietitians in examining
and exploring the impact of new, expanded models of pharmacy care in retail grocery store settings
that focus on achieving health and wellness outcomes for communities. In addition, the impact of
expanded pharmacy practice roles will be examined for potential program development opportunities
for employee health products designed to enhance employee health and wellness outcomes in
workplace settings.

Voir la description complète du projet
Superviseur du corps professoral :

Anne Snowdon

Étudiant :

Partenaire :

Loblaws Inc;Western University

Discipline :

Business

Secteur :

Health and Related Sciences & Technology

Université :

Western University

Programme :

Accelerate

Machine Learning Solutions for Detecting Suspicious and Abnormal User Access Roles and Entitlements

The latest cybersecurity incidents (e.g., Desjardinds, CapitalOne) have shown that the current cybersecurity solutions are not always effective in capturing and preventing attacks, especially when it comes to insider attacks that originate from within the targeted organization. In this project which will be conducted in collaboration with Xpertics, we aim to build a new solution for extracting and analyzing users’ access and entitlement data within a cloud environment, in order to detect suspicious and abnormal access activities and permissions. We will capitalize on the strength of deep learning to build strong prediction models with high accuracy. At the end of this project, the company will have an effective cybersecurity solution that could be used to prevent unauthorized access to its resources and identify the suspicious access attempts that try to manipulate the internal security measures of the company.

Voir la description complète du projet
Superviseur du corps professoral :

Jamal Bentahar;Omar Abdul Wahab

Étudiant :

Partenaire :

Xpertics Solutions Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Concordia University

Programme :

Accelerate

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