Projets novateurs réalisés

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

30156 projets achevés

2861
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5059
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812
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673
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842
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8957
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9368
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96
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579
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1120
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Projets par catégorie

Generation of production data for highly variable manufacturing

Mass customization relates to the ability to provide customized products or services through flexible processes in high volumes and at reasonably low costs. Massuni is well into the development of a system that vertically integrates a user-facing interface that enables unskilled users to design and customize individual pieces of furniture, with the ability to efficiently produce items by applying the principles of “mass customization” and “Digital manufacturing”. The ultimate goal is a system that specifies every conceivable piece of furniture and has the ability to build this range of products in geographically distributed production cells. In order to reach this goal, a core capability is the translation of the user’s specifications into data for manufacturing. This data takes various forms, including Bills of Materials for supplier procurements, Cut lists for traditional processing steps, CNC code for CNC production operations, and work schedules to optimize labor usage.

Voir la description complète du projet
Superviseur du corps professoral :

Christopher Beck

Étudiant :

Partenaire :

Verso Furniture Inc

Discipline :

Computer science

Secteur :

Manufacturing

Université :

University of Toronto

Programme :

Accelerate

Research of Real-Time Collaboration and Data Visualization on Online Platforms

Municipalities from all over the world use asset management software as a decision-support tool for infrastructure planning and management. Executive-level users and financial planners need to understand, adjust and collaborate over the data stored in these systems. The objective of the project will be threefold: first, I will investigate new methods for a rich real-time collaboration experience on online platforms. Second, I will find new ways to visualize aggregated output data. Third, both goals will meet and I will research about ways in which users can interact and manipulate data visualizations in real time. The results for the company will be a more collaborative, with richer data visualizations, version of their core platform.

Voir la description complète du projet
Superviseur du corps professoral :

Ravin Balakrishnan

Étudiant :

Partenaire :

Riva Modeling Systems

Discipline :

Computer science

Secteur :

Finance and Insurance; Information and cultural industries

Université :

University of Toronto

Programme :

Accelerate

Patient-Centricity: Design, Marketing and Organizational Requisites

With the growth and prevalence of digital and social media, patients have started to gain more control of their health management. This has led to their having a greater say in the design, production, delivery, and marketing of drugs. Sooner than later, more and more companies will be listening to patients while trying to find innovative ways to incorporate these concerns in their manufacturing and delivery of products in a competitive market. By tapping into the collective wisdom of patients, practitioners and organizations, this research will examine the role of this new generation of empowered patients in the design, marketability and competitiveness of pharmaceutical products. The intern and the partner organization will study patient needs and the practices of healthcare organizations to arrive at a better understanding of the phenomenon. Researchers will also find barriers and suggest ways to help pharmaceutical companies address patient concerns in their strategies more readily.

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Superviseur du corps professoral :

Ron Babin

Étudiant :

Partenaire :

Idea Couture Inc

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

Toronto Metropolitan University

Programme :

Accelerate

Réduction de l’utilisation des substances extrêmement préoccupante (SVHC) dans les ateliers de costumes du Cirque du Soleil.

Dans le cadre de sa démarche de développement durable au Cirque du Soleil, un diagnostic des pratiques actuelles des ateliers de costumes et des opportunités d’amélioration ont réalisé en 2014. Un des projets identifiés est de réduire l’utilisation des substances extrêmement préoccupantes (SVHC) basé sur le programme européen REACH et les produits qui se retrouvent sur le registre
environnemental du Canada afin d’élaborer un plan d’action pour réduire ou éliminer l’utilisation de ces produits

Voir la description complète du projet
Superviseur du corps professoral :

Robert Hausler

Étudiant :

Partenaire :

Cirque du Soleil

Discipline :

Engineering

Secteur :

Arts, entertainment and recreation

Université :

École de technologie supérieure

Programme :

Accelerate

Autonomous Modeling of High-Resolution X-ray Spectra Using Robust Global Optimization Methods

High-energy astrophysics is a young, fast-growing field that has opened a new window to the “invisible” universe. X-ray spectroscopy is a particularly powerful tool to discover the nature of highenergy sources, since their physical properties are inferred by comparing physical models to observations. Therefore, methods for fitting models to data are of crucial importance. The standard approach is via local optimization. However, these methods suffer from a number of limitations. At the U. of Manitoba, we are developing software based on evolutionary algorithms targeted to perform global optimization for X-ray spectroscopy. These advanced methods will be particularly instrumental for multi-parameter models and high-fidelity X-ray data. The project is also timely with the upcoming
(early 2016) launch of the X-ray mission, ASTRO-H, led by Japan partnering with NASA, ESA and the Canadian Space Agency, and with the U. of Manitoba as an active member. This project will place the Manitoba in a leadership role by providing an innovative software package for the X-ray astronomy community, and is directly relevant to nQube Technical Computing, dramatically illustrating the
capabilities of their optimization methods on challenging and high-profile model fitting problems.

Voir la description complète du projet
Superviseur du corps professoral :

Samar Safi-Harb

Étudiant :

Partenaire :

nQube Technical Computing Corporation

Discipline :

Physics

Secteur :

Professional, scientific and technical services

Université :

University of Manitoba

Programme :

Accelerate

Effect of surface pretreatment and zinc coating on the corrosion behaviour of Mg alloys for biodegradable applications.

Magnesium alloys are good candidates for the development of biodegradable implants for cardiovascular and orthopedic applications. A biodegradable implant would perform its desired function and then disappear, avoiding long-term complications and the need of a second surgery to withdraw the implant. Magnesium is biocompatible and its alloys have good mechanical properties, which are required properties for implant applications. However, they corrode (dissolve) too fast in the body, leading to loss of mechanical properties and premature implant failure. An interesting approach to decrease the corrosion rate of Mg alloys is the use of protective coatings. This project is aimed at the development of biocompatible zinc coatings in order to better control the implant dissolution rate. A zinc coating would dissolve at a lower rate extending the implant lifetime. The proposed research will allow us to understand the dissolution process of zinc-coated Mg alloys and to produce coatings with better protective properties.

Voir la description complète du projet
Superviseur du corps professoral :

Sasha Omanovic

Étudiant :

Partenaire :

Universidade de São Paulo

Discipline :

Engineering

Secteur :

Université :

McGill University

Programme :

Globalink Research Award

Minimizing the Spread of Information in a Social Network by Blocking Links

Social network is becoming an increasingly popular media for information sharing. However, undesirable contents such as malicious rumors can spread through social networks among individuals. The technique to prevent undesirable content can also be applied in parenting control. As the more and more teenagers are using social network today, it is important to minimize the spread of undesirable contents into their ends. Thus, developing effective strategies for preventing the spread of undesirable spreading in a social network is an important research issue. This research is trying to design a new model to control the spread of contamination that is not proposed by previous works. The expected outcome of this research is to come up with a research paper that presents new models and algorithms for minimizing undesirable content’s propagation in a social network.

Voir la description complète du projet
Superviseur du corps professoral :

Anne Condon

Étudiant :

Partenaire :

Zhejiang University

Discipline :

Computer science

Secteur :

Education

Université :

The University of British Columbia

Programme :

Globalink Research Award

Towards Automating Video Inpainting for Use in a 2D to 3D Video Conversion Pipeline

The goal of the project is to reduce the workload involved in the occlusion filling step of a 2D to 3D video conversion pipeline. To do so, the intern will develop and implement a video inpainting algorithm suitable for use in Hollywood Films. The algorithm will be integrated into the organization’s 2D to 3D video conversion pipeline. The algorithm will provide controls which allow the user to manipulate the results of the inpainting process. The intern will experiment with the use of additional data available within the pipeline as a means to overcome issues with current video inpainting methods. In particular, changing illumination and handling of fixed light sources will be addressed. Since inpainting can be extremely tedious and time consuming when performed by hand, a more automated solution will greatly increase the organization’s efficiency in performing 2D to 3D conversions.

Voir la description complète du projet
Superviseur du corps professoral :

Amy Gooch

Étudiant :

Partenaire :

Discipline :

Computer science

Secteur :

Université :

University of Victoria

Programme :

Accelerate

Leveraging machine learning and Crowdsourcing for knowledge graph construction in term of learning with privilege information

Frequent Google users may be familiar with the knowledge graph – it is what creates the visual display of key information related to a search query, often shown at the top of the page. The knowledge graph a store of information built up by organizing extracted information from various websites and grouping related material under their respective topics. However, these knowledge graphs are not infallible; because the graphs are built computationally and thus lack the robustness of human interpretation, if the text is written in an unusual manner, it is entirely possible to have incorrect information in the graph. This incorrect information is referred to as noise. The purpose of this project is to create a computer algorithm to better parse and interpret text, to lower the amount of noise entered into knowledge graphs. This algorithm will also be trained on human-computed (thus noiseless) knowledge graphs to increase its effectiveness.

Voir la description complète du projet
Superviseur du corps professoral :

Anne Condon

Étudiant :

Partenaire :

Zhejiang University

Discipline :

Computer science

Secteur :

Education

Université :

The University of British Columbia

Programme :

Globalink Research Award

Étude géo environnementale du gisement Marban et support au responsable de l’environnement

Le projet Bloc Marban est situé à une quinzaine de kilomètres à l’ouest de la ville de Val-d’Or et comprend les anciennes mines Marban, Kierens et Norlartic qui ont produit collectivement environ 590 000 onces d’or et qui sont maintenant trois gîtes dont les ressources minérales combinées sont de 32 millions de tonnes à une teneur moyenne de 1,48 g/t pour 1,53 million d’onces d’or en ressources mesurées et indiquées et de 16,5 millions de tonnes à une teneur moyenne de 1,13 g/t pour 0,6 million d’onces d’or en ressources présumées. Chacun des trois gîtes possède un potentiel de fosse à ciel ouvert et d’opération souterraine. Le projet va dans un premier temps se pencher sur la caractérisation géochimique de résidus miniers au niveau du bassin versant du Lac De Montigny, des sédiments de fond des rivières et des lacs, des eaux de surface et souterraines, pour ensuite compléter la caractérisation par des analyses minéralogiques et chimiques des roches de carottes de forage. Enfin, le suivi de qualité des eaux de lixiviation des essais cinétiques sur les résidus miniers et les roches stériles permettra d’évaluer le potentiel de génération des contaminants.

Voir la description complète du projet
Superviseur du corps professoral :

Benoit Plante

Étudiant :

Partenaire :

Niogold Corporation Inc.

Discipline :

Earth science

Secteur :

Mining

Université :

Université du Québec en Abitibi-Témiscamingue

Programme :

Accelerate

Positionnement et intégration des médicaments biosimilaires dans le système de santé canadien

Le marché mondial des médicaments biosimilaires est en pleine expansion. Le développement des biosimilaires constitue un enjeu majeur à la fois d’un point de vue économique et d’un point de vue sanitaire. Dans le contexte d’une population vieillissante, d’une augmentation des maladies chroniques et d’un budget de plus en plus contraint, les biosimilaires pourraient permettre de maintenir un accès aux soins et/ou d’offrir un plus grand nombre de traitements de pointe, et ce, de manière durable. Le projet se veut une étude exploratoire dont la principale question de recherche est : « Comment positionner les médicaments d’appellation « biosimilaires » sur le marché canadien? » et « Quels sont les conditions/enjeux pour les rendre accessibles à travers les programmes d’assurance-médicaments provinciaux ». Deux modes de cueillette de données sont employées, soit la revue exhaustive de la littérature scientifique ainsi que les entrevues de groupe « Focus Group » et individuelles.

Voir la description complète du projet
Superviseur du corps professoral :

André Côté

Étudiant :

Partenaire :

Sandoz Canada Inc.

Discipline :

Business

Secteur :

Pharmaceuticals; Public Service, Policy, and Governance; Health and Related Sciences & Technology

Université :

Université Laval

Programme :

Accelerate

Benchmarking the Sustainability Performance of Clearwater Seafoods

Clearwater Seafoods Limited Partnership. (Clearwater) is a Nova Scotian company that has grown to be one of the global leaders in the market of seafood. it is dedicated to improving the sustainability of its operations in order to protect the valuable resource upon which it relies. In fisheries science and management, as well as food manufacturing practices, Clearwater strives to bring best business practices to its sustainability goals. As one of the leading harvesters of Marine Stewardship Council (MSC) certified fisheries, compliance with the MSC standards for fisheries and chain of custody (CoC) is critical. Recent changes to both the fisheries standard and the CoC standard will be integrated into Clearwater operations. . In addition, the framework for sustainability will be updated to reflect upon the growing information in the field. Finally, a review of the best practices for key performance indicators (KPIs) will be done to compare how Clearwater compares with similar companies.

Voir la description complète du projet
Superviseur du corps professoral :

Kate Sherren

Étudiant :

Partenaire :

Clearwater Seafoods Ltd Partnership

Discipline :

Earth science

Secteur :

Agriculture

Université :

Dalhousie University

Programme :

Accelerate

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