Projets novateurs réalisés

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

29 670 projets achevés

2811
AB
4990
C.-B.
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projets par catégorie

Privacy Enhanced Decentralized Identity System

Currently, a number of public and private organizations have implemented various identity management solutions to manage authentication; authorization privileges of their users within or across system and enterprise boundaries. The idea of using a third party identity provider (IdP) to access a relying party (RP) is not new, and both RP and IdP have much to gain from such solution. A federated identity ecosystem in which RPs and IdPs have to connect only once has further benefits. While deployed identity brokerage systems provide great utility to their participants, it has been noted that the principles upon which they are designed have several security and privacy gaps. Potential shortcomings of federated identity access systems stem from a central observation point, where a ‘honest but curious’ or ‘compromised’ broker may gain unauthorized access to the data. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Marsha Chechik

Étudiant :

Partenaire :

SecureKey Technologies Inc

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Automated Impact Analyses to Support Code Review Practices

Large software systems are updated incrementally to add new features or fix bugs. It is a common practice in the software industry to have each incremental change reviewed by a peer to detect software quality issues and transfer knowledge among team members. While peer review boasts technical and non-technical benefits, it is still primarily based on low-level textual differencing, which place the prior and updated versions of the software source code next to one another. In this project, we will develop a tool to display high-level impact data (e.g., the areas of the released software system that are impacted by the change) by data mining archives of historical change data. We suspect that these improved tools will help Dell EMC (our partner organization) to improve the feedback being generated by their peer reviewing process and avoid costly software quality issues.

Voir la description complète du projet
Superviseur du corps professoral :

Shane McIntosh

Étudiant :

Partenaire :

Dell EMC (ON)

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

McGill University

Programme :

Accelerate

Researching and Evaluating SBL’s Youth Space Model, Summer Program, School Year and March Break Career Exploration Programs and Improving SBL’s Research-Evaluation Framework

This project takes a holistic and comprehensive analysis of all aspects of Success Beyond Limits (SBL’s) programming as well as their research and evaluation frameworks. Operating in a low-income and marginalized setting, youth that attend SBL’s programming find it difficult to find, secure and keep meaningful employment. This research will capture the experiences of those young people coming to SBL’s programs, identify the barriers they face with respect to employment and measure the impact of all of SBL’s programs. The benefits of this research for SBL is the ability to fine-tune current program, create new and innovate programs that fill gaps as well as the ability to report in more sophisticated ways. With an opportunity for sustained research and digitizing all past research and evaluation data will better position the organization to funders and stakeholders alike. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Carl James

Étudiant :

Partenaire :

Success Beyond Limits

Discipline :

Sociology

Secteur :

Education

Université :

York University

Programme :

Accelerate

Legal Question Answering with Bidirectional LSTMs

ROSS Intelligence enables legal professionals to find analyze legal issues and find hidden information and cuts down on research time by using artificial intelligence specialized in legal research. Recent advances in neural networks applied to natural language processing have brought results that are close to human performance in some tasks. However, this approach is still nascent in legal research and it has been identified as potentially fruitful. By reviewing and adding to the most recent developments in natural language processing and machine learning available in academic literature, this project aims to increase the reliability and capability of this artificial intelligence.

Voir la description complète du projet
Superviseur du corps professoral :

Frank Rudzicz

Étudiant :

Partenaire :

ROSS Intelligence Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Optimizing Docto’s Predictive models using Machine Learning Techniques

The proposed research project aims to increase the accuracy of a model used to predict future glucose levels 1 hour ahead of time, with ~90% accuracy. This model should be able to detect, ahead of time, situations where the blood-glucose level is either too high or too low which could lead to complications for the patient. The partner organization will use this model in their application to allow diabetics to see an estimate of their future blood-glucose level. This will allow them to change their current behaviour to avoid high risk situations that could present a risk to their health. Moreover, with the data collected, the partner will also be able to give personalized advice to a patient to regulate his/her blood-glucose level more efficiently.

Voir la description complète du projet
Superviseur du corps professoral :

Jared Simpson

Étudiant :

Partenaire :

Bio-Conscious Technologies Inc

Discipline :

Computer science

Secteur :

Health and Related Sciences & Technology

Université :

University of Toronto

Programme :

Accelerate

Evaluation Capacity Network: Aligning Evaluative Thinking and Practice among Early Childhood Stakeholders

This project aims to provide evidence and research support to BGCBigs in the implementation of their Building an Evaluation Framework and Capacity for Sustainability project. BGCBigs recognizes that achieving their goal of ‘supporting our children and youth on the path to success’ depends upon an organization committed to evaluative thinking, learning and utilization of evidence for decision-making. This project will enable BGCBigs to conduct quality evaluations and use evidence to improve programs for children and youth. Non-profit organizations do not always have the resources, expertise, time, or
capacity to develop comprehensive evaluation plans or to build evaluation capacity. This project will provide a case study where the ECN research team can more closely examine how partners develop a shared evaluation framework for assessing the impacts of programs, use evidence to inform and
improve organizational practices, programs, and policies and also determine the level of knowledge, skills and resources needed to enhance evaluation capacity.

Voir la description complète du projet
Superviseur du corps professoral :

Rebecca Gokiert

Étudiant :

Partenaire :

Boys and Girls Clubs Big Brothers Big Sisters of Edmonton and Area

Discipline :

Sociology

Secteur :

Education; Health and Related Sciences & Technology; Other services (except public administration)

Université :

University of Alberta

Programme :

Accelerate

Linguistic Data Science for the Development of a Business Corpus

This project is dedicated to the development of a new business corpus as a novel data for the company’s business intelligence. It focuses on linguistic pre-processing for the business domain using two types of collected corpora: text and speech. An automatic annotation of the pre-processed business corpus will be completed using labels related to sentiment analysis and emotion mining technologies. Specific rules will be used to strengthen these labels. Last, a cognitive social analysis on human behaviors and team dynamics will be completed within a business meeting.

Voir la description complète du projet
Superviseur du corps professoral :

Fatiha Sadat

Étudiant :

Partenaire :

Winning Acuity Ltd.

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

Université du Québec à Montréal

Programme :

Accelerate

Testing and Inspection Process Capability Improvement for Premium Steel Production

Steel production in a modern steel rolling mill involves many steps. A hot rolling process typically starts from a reheat furnace to heat the cold metal to high temperatures (800 to 1000 C or above) so that the softened metal take different shapes when it is pressed. The end products will be used to make, for instances, automotive parts or will be further processed such as to be welded to make pipes. A steel production system may be operated 24/7 non-stop except for scheduled periods of time for system maintenance, etc. The testing and inspection operations (the focus area of this project) are critical make sure that the quality of the products meets design requirements. If these operations take more time than anticipated, the entire production system can be forced to slow down or even to stop. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

MingYuan Chen

Étudiant :

Partenaire :

Ivaco Rolling Mills Ltd

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Concordia University

Programme :

Accelerate

Performance Based Seismic Design Guidelines for Sprayed-FRP Retrofitted Circular Reinforced Concrete Bridge Columns

The proposed study will develop seismic design guidelines for retrofitting deficient concrete bridge columns with sprayed fiber reinforced plastic (FRP). Seismically deficient bridge columns (with different aspect ratios and transverse
reinforcement ratios) retrofitted with composites will be tested under reverse cyclic loading. The tests will determine various damage states in terms of strain and drift. Extensive nonlinear finite element analyses (FEA) will be performed
to simulate the experiments, and predict their responses and limit states The interactions of various parameters on limit states will be determined, and regression equations will be proposed for their predictions. Finally, performance-based design guidelines/tools will be developed for the seismic retrofit of deficient bridge piers. This research will lead Canada to a sustainable solution for strengthening and retrofitting of highway bridge infrastructure system. The
supporting organization will benefit significantly as the proposed research will help them offer a new service that align within their portfolio.

Voir la description complète du projet
Superviseur du corps professoral :

Ehab El-Salakawy

Étudiant :

Partenaire :

POLYRAP Pavement System Ltd

Discipline :

Engineering

Secteur :

Construction and infrastructure

Université :

University of Manitoba

Programme :

Accelerate

Temporal Framework for Natural Language Processing with Convolutional Networks

In this research, we propose a model learning documents to fixed-length embedding vector space. This is meaningful, because in vector space, we can find similar documents or measure the relations between documents by simple linear algebra calculation. One of state-of-the-art methods is to apply deep Convolutional Neural Network on language sequences and thus learn different levels of features. In these methods, aggregating functions (e.g. max) are used to address the variable-length problem of documents. However, the aggregating functions also result disadvantages. They destroy the temporal structure of the documents, which is not ideal for a language model. In this work we propose an approach that leverages the advantages of the CNN architecture but avoids most of the disadvantages. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Sanja Fidler

Étudiant :

Partenaire :

Layer 6 AI

Discipline :

Computer science

Secteur :

Information and Communications Technology; Technology; Other

Université :

University of Toronto

Programme :

Accelerate

Data Science Search Engine Optimization

Search is an important way people get the information they want. Whether we want to find more content about a specific topic, or get general information on a subject, search engines lie at the core of this process. At Flipp, search plays a crucial role in the overall user experience and drives relevant content to consumers. Consequently, improving search by assisting consumers in finding a larger volume of relevant products will be of growing importance to Flipp. The proposed project aims to improve Flipp’s search experience by achieving greater relevancy, volume and ease of use. With this project Flipp hopes to increase the affinity of its consumer products to its users and business partners.

Voir la description complète du projet
Superviseur du corps professoral :

Anthony Bonner

Étudiant :

Partenaire :

Flipp Corporation

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Développement de solutions éco-énergétiques pour les secteurs institutionnel et municipal

Nous sommes certains qu’un potentiel remarquable d’innovation et d’intervention pour littéralement supprimer le mazout comme option énergétique au Québec est existant. Mais il faudra être capable de monter un modèle, idéalement plusieurs modèles d’affaire, pour motiver la conversion tout en considérant les réalités locales.
Nous pensons que beaucoup de données sont facilement récupérables ici et là et qu’un travail visant à colliger ces données s’impose aujourd’hui.
L’AQME propose de piloter un stagiaire sur une durée de 4 mois pour intensément collecter et colliger les données attenantes à la consommation de mazout au Québec dans les secteurs suivants :
– municipal : bâtiment, église (lorsque devenu un bâtiment municipal), autres
– institutionnel : bibliothèque, petite école, église, autre
– privé : à définir

Voir la description complète du projet
Superviseur du corps professoral :

Elisabeth Levac

Étudiant :

Partenaire :

Association quebecoise pour la maitrise de l'énergie

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Utilities

Université :

Bishop's University

Programme :

Accelerate

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