Projets novateurs réalisés

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

31 620 projets complétés

2978
AB
5221
C.-B.
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projets par catégorie

Nilex ECO 2 Calculator

Nilex has developed a tool to enable customers to evaluate sustainability of using geotextiles in road reinforcement. The calculator is designed to quantify the environmental and economic benefit of using geosynthetic materials in civil, resource and environmental construction projects. Focus of the existing calculator is on roadway construction and erosion control. The scope is to expand the use of the calculator to additional products and applications available from Nilex.

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Superviseur du corps professoral :

Robert Summers

Étudiant :

Partenaire :

Nilex

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

University of Alberta

Programme :

Business Strategy Internship

Camp Fircom Brand and Marketing Playbook Development

Located on Gambier Island, Camp Fircom has a unique strategic positioning of offering multiple outdoor camp and vacation experiences in a unique forest-meets-ocean setting but within close proximity to the Metro Vancouver area. Camp Fircom is interested in further tapping into this positioning by enhancing its brand voice to generate more registrations to its programs and attract more sponsors. Capilano University’s Centre for Tourism Research and Extension Services (CTRES) has taken the lead in the development of Camp Fircom’s brand and marketing playbook. It is expected that the implementation of this playbook would not only grow program registrations but also increase visitations from tourists, school groups, and other markets, as well as generate new sponsorships.

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Superviseur du corps professoral :

Allan Florendo;Paolo Fresnoza

Étudiant :

Partenaire :

Camp Fircom

Discipline :

Business

Secteur :

Other services (except public administration)

Université :

Capilano University

Programme :

Business Strategy Internship

Identification de méthodologies innovantes relatives à la prestation de services sportifs municipaux

Dans le contexte socioéconomique actuel, notamment marqué par une plus grande décentralisation des services municipaux et par les exigences relatives à l’efficacité et à l’efficience des ressources allouées, la livraison de ces mêmes services est un enjeu d’importance. Par ailleurs, la plus grande considération faite des parties prenantes dans l’élaboration et dans la reddition des services municipaux est aujourd’hui incontournable.
Le présent projet vise à identifier des méthodes innovantes relatives au soutien et au développement de services sportifs en contexte municipal. Entre la livraison des services par une municipalité donnée et l’externalisation complète de ces mêmes services, une multitude de configurations mitoyennes peuvent être envisagées. Quelles sont les configurations qui permettent d’atteindre à la fois l’efficacité et l’efficience des ressources et des compétences engagées, de même que la satisfaction des clientèles visées? Ce projet voudra répondre à cette question d’importance.

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Superviseur du corps professoral :

Sébastien Arcand

Étudiant :

Partenaire :

Conseil du sport de l’île de Montréal

Discipline :

Business

Secteur :

Arts, entertainment and recreation

Université :

HEC Montréal

Programme :

Accelerate

Web Developer

Prima Technologies is a startup in New Brunswick, Canada that is working on improving certain processes in nursing homes, replacing traditional paper processes with new digital ones. The main challenges and opportunities are in software development. Nurses provide a lot of care in a day and building a tool for them that relieves their workload requires well-thought-out software development. By growing our software development team, we are giving ourselves a better chance of succeeding and this project is a step in that direction.

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Superviseur du corps professoral :

Paul Cook

Étudiant :

Partenaire :

Prima Technologies

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

University of New Brunswick

Programme :

Business Strategy Internship

Development of an AI model to facilitate data extraction from forms

At Mely.ai, we are changing the supply chain and logistics landscape by providing AI-assisted tools to the industry. We want to give an unpreceded experience to our users with the latest technologies to serve their customer better.
We analyze paper documents frequently used in the transport and logistics industry such as commercial invoices, packing lists and certificates of analysis.
Mely.ai’s current value-add is to extract data from forms based on specific templates. We also have a method to extract data without a template, but it lacks precision.
The project is therefore to create a generic AI model that can better extract data from a form into structured data. Using computer vision techniques, we will be able to identify the tabular data as well as the available key values.

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Superviseur du corps professoral :

Laurent Charlin

Étudiant :

Partenaire :

Mely.ai Solutions Inc

Discipline :

Computer science

Secteur :

Information and Communications Technology; Commercial Services; Transportation (excluding aerospace)

Université :

HEC Montréal

Programme :

Accelerate

Characterization and optimisation of muscle oxygen extraction and performance in elite judo athletes

This project will investigate the determinants of performance in the sport of judo to optimize training and enhance performance development. Judokas must perform multiple high-intensity efforts that cause fatigue, and most of their training is devoted to mitigating the development of fatigue during matches. However, our knowledge of key metabolic responses and adaptations is still limited in this sport. The purpose of this project is to 1) characterize the muscle oxygenation response in varied muscles during judo-specific maneuvers in elite judo athletes using cutting-edge near-infrared spectroscopy, and 2) develop a judo-specific simulated altitude training program that would help coaches and athletes in their physical preparation for major international competitions.

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Superviseur du corps professoral :

François Billaut;Nicolas Berryman

Étudiant :

Partenaire :

INS Québec;Judo Canada

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology; Life Sciences (not health); Other

Université :

Université Laval

Programme :

Accelerate

Enhancing Tenantcube’s Data Ecosystem and Analytics Capability

This innovation project between Tenantcube Inc. and Brock University aims at enhancing Tenantcube’s data ecosystem and analytics capability. Tenantcube Inc. is a Property Management Software company that elevates the residential renting experience for the modern-day landlords and tenants in Canada and the USA. In the recent years, there has been an influx of international students and new immigrants who are in search of rental homes and are able to pay the quoted rent, but cannot find decent accommodation owing to their lack of credit history. To bridge this gap, Tenantcube intends to use data-driven insights, predictive systems and recommendation to identify qualified tenants so landlords can rent to new tenants with confidence. More specifically, the project will involve developing a data and analytics strategy framework to enhance Tenantcube’s current data ecosystem, exploring data-driven problem settings and formulating modelling and solution strategies.

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Superviseur du corps professoral :

Anteneh Ayanso

Étudiant :

Partenaire :

Tenantcube Inc.

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

Brock University

Programme :

Business Strategy Internship

Additive manufacturing of a nickel supper alloy: The micromechanics of plasticity and fracture.

To reduce the emission of greenhouse gases, significant efforts have been made to increase the efficiency of gas turbines. Likewise, the use of hydrogen is suggested to replace hydro-carbon-based fuels. To achieve these goals, it is mandatory to use advanced manufacturing techniques to produce the key components of turbines. Laser power bed fusion additive manufacturing (LPBF-AM) is one of those techniques that can be used for 3D printing of Inconel supperalloys, however, the development of microcracks reduce the lifetime of the components. The objectives of this project are to determine AM process parameter to reduce such cracks and understand their subsequent effects on the development of localized stress fields. An advanced numerical toolbox will be developed to simulate the propagation of microcracks. The outcome of the project will help provide a better estimation of components lifetimes which will eventually improve the economy of power production from gas turbines.

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Superviseur du corps professoral :

Hamidreza Abdolvand

Étudiant :

Partenaire :

Siemens Energy Canada

Discipline :

Engineering

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

The University of Western Ontario

Programme :

Accelerate

Fabrication of Smart Clothing: From Machine Learning Approach to Fashion Design Concepts

Nowadays, wearable devices attract a lot of attention, especially in the healthcare field. But translating all devices to wearable devices always comes with challenges. Some of the challenges are lack of knowledge about the application of different materials in smart textiles, limitation of developed smart textiles in practical application, no significant dedication in designing clothing by considering the limits, etc. So, this proposal is trying to address those gaps. In this proposal, a material selection algorithm will be developed based on the machine learning approach, and then the outcome will be used in designing a collection of clothing. This design will consider those limitations and the applicable functionality of smart textiles. In the end, well-looking clothing with selected materials and practical functionality will be showcased.

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Superviseur du corps professoral :

Hadis Zarrin;Kate Hartman;Kate Hartman;Nick Puckett;Hadis Zarrin

Étudiant :

Partenaire :

Sensofine Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Ontario College of Art & Design University; Toronto Metropolitan University

Programme :

Accelerate

Smart forests: building community and ecological fire resilience using real-time monitoring of forest conditions through 5G and next-generation fuel models

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Voir la description complète du projet
Superviseur du corps professoral :

Mathieu Bourbonnais;Lael Parrott

Étudiant :

Partenaire :

Rogers Communications Inc.

Discipline :

Earth science

Secteur :

Environmental Science and Technology; Sustainability & the Environment; Natural Resources

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Développement d’une méthodologie de récolte systématique des don- nées utiles à l’entrepreneur culturel pour favoriser le partage de données et faciliter la rédaction de demandes de subvention

En partenariat avec Synapse C, ce projet vise le développement d’une communauté de mutualisation de données du secteur culturel pour favoriser une co-opétition saine et l’accessibilité à des données utiles et porteuses de sens pour l’entrepreneur- artiste. En s’appuyant sur la littérature portant le partage de données en innovation ouverte, l’entrepreneuriat culturel et la mesure d’impact en OBNL, l’objectif est de développer une méthodologie à déployer auprès des entrepreneurs culturels per- mettant une récolte systématique des données utiles et favoriser leur inclusion dans une communauté de pratique de mutua- lisation données. Un gain potentiel au niveau du processus de rédaction de demande subvention sera observable, qui requiert l’accès aux données pertinentes et probantes sur leur environnement, leurs publics, leurs non publics, etc. En complément, l’accès à une plus grande quantité et diversité de données permettra une meilleure prise de décision en vue de la croissance et de la pérennité des organismes.

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Superviseur du corps professoral :

Pascal Forget;Cécile Fonrouge

Étudiant :

Partenaire :

Synapse C

Discipline :

Engineering

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Université du Québec à Trois-Rivières

Programme :

Accelerate

Optimization of Soil Parameters for Deep Excavations by Inverse Analysis

The proposed research aims to optimize soil model parameters through inverse analysis of deep excavations. Soil properties and their engineering behavior are the fundamental uncertainties among the many influential factors involved in deep excavations. Even though geotechnical investigations are usually conducted, the risks are still high due to the limited amount of soil samples extracted from the site. In addition, glacial deposits covering the Greater Toronto Area (GTA) make it very difficult to characterize their properties accurately due to its unsorted grain distribution and highly variable properties, which can easily lead to unsafe design. The goal of this research is to conduct an inverse analysis of deep excavations to optimize soil properties and then correlate the optimized model parameters with soil indices for different soils in the GTA. This research will help mitigate geotechnical risks and develop cost-effective infrastructure development in Canada.

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Superviseur du corps professoral :

Jinyuan Liu

Étudiant :

Partenaire :

InGeo Design Ltd

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Toronto Metropolitan University

Programme :

Accelerate