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
C.-B.
812
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673
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842
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8957
ON
9368
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96
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579
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1120
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Projets par catégorie

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

3-D imaging of plants and vegetables

The agriculture industry is a labour intensive industry. Using a reliable method of plant monitoring can greatly help farmers to reduce their labours and consequently their production costs. Creating an accurate 3-D model of each plant or vegetable provides farmers with more information about the growth stage of the plant which helps them to make smarter decisions for irrigation and harvesting. There are various 3-D technologies available in the market. The aim of the current project is to explore a variety of 3-D image processing techniques to create the accurate 3-D model of selected plants and vegetables. The partner organization would benefit from this project by having a reliable 3-D model of plants for automated irrigation.

Voir la description complète du projet
Superviseur du corps professoral :

Kenneth McIsaac

Étudiant :

Partenaire :

Vineland Research and Innovation Centre

Discipline :

Computer science

Secteur :

Agriculture and Food; Life Sciences (not health); Technology

Université :

Western University

Programme :

Accelerate

La redéfinition des relations économiques par l’administration Trump et son impact sur le secteur de l’aluminium au Canada

Le secteur de l’aluminium se hisse au deuxième rang en terme d’exportation au Québec. Les règles du libre-échange apportent une plus value importante aux produits exportés, par exemple, lorsque ceux-ci peuvent bénéficier de droits de douane avantageux, voir nuls. À ce titre, les accords commerciaux régionaux de libre-échange permettent à l’industrie de l’aluminium de tirer son épingle du jeu. Or, le 22 janvier dernier 2017, le nouveau président des Etats-Unis a annoncé qu’il entendait rouvrir les négociations de l’ALENA avec le Canada et le Mexique. Le lendemain, Donald Trump annonçait son retrait du Partenariat transpacifique (PTP). Ces annonces déstabilisent le marché en réduisant la prévisibilité, une des raisons d’être des règles du commerce international. Le secteur de l’aluminium n’échappe pas à cette déstabilisation. En effet, soixante-quinze pourcent de l’aluminium produit au Canada est exporté vers les Etats-Unis. Dès lors, plusieurs questions se posent pour le secteur de l’aluminium.

Voir la description complète du projet
Superviseur du corps professoral :

Geneviève Dufour;David Pavot

Étudiant :

Partenaire :

Association de l'aluminium du Canada

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Université de Sherbrooke

Programme :

Accelerate

Evaluation and Strategic Review of the Nova Scotia Liquor Corporation’s Environmental Management Plan

The Nova Scotia Liquor Corporation (NSLC) is a crown corporation and the sole purveyor of alcoholic beverages in the province of Nova Scotia. As part of their commitment to Corporate Social Responsibility (CSR) the NSLC is looking to update their sustainability targets of their environmental management plan (EMP). Now in the third year of a five-year strategic plan, the NSLC is looking to begin planning objectives for 2020-2025 and has contracted Revolve, a marketing company to re-evaluate the sustainability pillar of their EMP to strengthen the NSLC’s CSR mandate by including feasible environmental targets for NSLC to achieve as part of the corporation’s goal to be a leader in environmental stewardship and the green economy. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Tony Walker

Étudiant :

Partenaire :

Revolve Branding Inc;Nova Scotia Liquor Corporation

Discipline :

Business

Secteur :

Professional, scientific and technical services

Université :

Dalhousie University

Programme :

Accelerate

The “CARE” (Clinical Analytics for Real-World Evidence) Platform

The healthcare industry is shifting from randomized controlled trials (RCTs) care to real world data (RWD) to understand how well an intervention performs in clinical practice. The best source of RWD is source data – that is, data that are collected at the interface of the patient and the health care system. The University of Waterloo in partnership with Roche Canada, are therefore proposing to develop the “CARE” (Clinical Analytics for Real-World Evidence) platform, a holistic cloud-based data analytic solution capable of consolidating clinical data obtained from disparate data systems . This project begins the initial steps to address relevant clinical research objectives by providing the tool and infrastructure required to process and analyze the enormous amount of scattered data within an institution and across multiple institutions. TO BE CONT’D

Voir la description complète du projet
Superviseur du corps professoral :

Helen Chen;Plinio Pelegrini Morita

Étudiant :

Partenaire :

Hoffmann-La Roche Limited

Discipline :

Computer science

Secteur :

Manufacturing; Professional, scientific and technical services; Wholesale trade

Université :

University of Waterloo

Programme :

Accelerate

Centre for Operations Excellence Industry Projects 2017

The Centre for Operations Excellence Industry Projects consists of six sub-projects sponsored by five different industry partners. Each sub-project represents an important challenge for its sponsor. These sub-projects include assessing the effects of traffic interventions at airports (Boeing 1), simulating demand for flight simulator training (Boeing 2), predicting return to work outcomes using unstructured data (WSBC), using process analysis to experiment with capacity during the check-in process (YVR), measuring throughput at a ferry terminal using process analysis and simulation (BC Ferries), forecasting future capacity at a Canada Post facility (Canada Post)

Voir la description complète du projet
Superviseur du corps professoral :

Harish Krishnan

Étudiant :

Partenaire :

Boeing Vancouver (Richmond, BC);WorkSafeBC (Vancouver, BC);Vancouver International Airport;British Columbia Ferry Services Inc;Canada Post

Discipline :

Business

Secteur :

Aerospace; Transportation (excluding aerospace); Finance and Insurance

Université :

The University of British Columbia

Programme :

Accelerate

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