Projets novateurs réalisés

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

30156 projets achevés

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Projets par catégorie

Development of the Parasocial Identifier for Social Media

Since the introduction of radio and television, fans have had a connection to those they know in the media. These connections are called “parasocial relationships” and they are one-sided relationships, usually between a fan and a celebrity, that is usually not face-to-face. With the advent of social media, any person, or company, can become a celebrity and gain fans. In this project, the intern will work with a marketing company to develop computer algorithms to automatically analyse comments on Instagram and determine how many account followers have parasocial relationships with the account owner. He will then develop a way to summarize these results in a parasocial identifier (PSI) score.

Voir la description complète du projet
Superviseur du corps professoral :

Terry (Fan) Jiang;Kafui Monu

Étudiant :

Partenaire :

Splash Media Group

Discipline :

Business

Secteur :

Agriculture; Professional, scientific and technical services

Université :

University of Northern British Columbia

Programme :

Accelerate

Développement d’un outil d’analyse de texte assistée par ordinateur permettant de classifier les entreprises dans l’écosystème de la 5G au Canada

Prompt doit identifier les PME qui ont un fort potentiel de croissance au sein de l’écosystème canadien de la 5G. Dans ce contexte, la recherche propose d’exploiter une base de données textuelles. Elle est constituée par les sites internet de 7 000 entreprises. Cette base de données a déjà été construite par Prompt. Le premier but de l’analyse est l’exploration des spécificités thématiques des sites internet et leur classification par groupe d’entreprise. Plusieurs algorithmes et méthode statistiques venant du domaine de la fouille de texte (ou text mining) et du traitement automatique du langage naturel (ou Natural Language Processing – NLP) seront utilisés à cet effet. En particulier, les méthodes de fouille de thème (ou topic modeling) seront utilisées pour explorer les données textuelles.

Voir la description complète du projet
Superviseur du corps professoral :

Catherine Beaudry;Fabiano Armellini;Isabelle Deschamps

Étudiant :

Partenaire :

Prompt

Discipline :

Business

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Polytechnique Montréal

Programme :

Accelerate

Analysis Tools for Automated Rehabilitation Assessment and Progress Tracking

In this project, Cardon Rehabilitation and Medical Equipment (CRME) and the University of Waterloo (UW) will test the Automated Rehabilitation System (ARS) for lower body physiotherapy in a clinical environment. ARS provides the ability to measure the human pose during the performance of rehabilitation exercises and provide real time feedback. CRME and UW are interested in developing algorithms to automatically assess the changes in patient recovery rate. The intern will develop numerical metrics of exercise performance which can be used by clinicians to better understand patient performance and progression as a supplement to current subjective scales that are common in clinics and reduce inter-rater variability.

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Superviseur du corps professoral :

James Tung;Dana Kulic

Étudiant :

Partenaire :

Cardon Rehabilitation and Medical Equipment Ltd

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Waterloo

Programme :

Accelerate

Characterizing intracellular interactions of carcinoembryonic-antigen-related cell adhesion molecule 1-4L using high resolution microscopy

Preliminary work has shown that adding excess CEACAM1-specific antibody, 26H7, to hela cells expressing carcinoembryonic-antigen-related cell-adhesion moleule (CEACAM) 1-4L decreases CEACAM1-4L in the plasma membrane and shifts their surface expression from a monomer-oligomer mix to mainly monomers. A super resolution microscope will be used to co-localize CEACAM1-4L with 26H7 in order to determine the optimal antibody dose, and how different doses affect CEACAM1-4L spatial distribution and surface expression. A microscope equipped for 3D imaging of live thick samples will be modified to be able to determine the the monomer-oligomer mix of CEACAM1-4L upon addition of 26H7, in 3D cell structures. Intracellular vesicles leaving the plasma membrane will be tracked and quantified. It is predicted that CEACAM1-4L dimers are being internalized, so I expect to see mainly monomers at the membrane, and an increase in CEACAM1-4L dimer containing vesicles leaving the membrane.

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Superviseur du corps professoral :

Christopher Yip

Étudiant :

Partenaire :

Université Paris Descartes

Discipline :

Engineering

Secteur :

Education

Université :

University of Toronto

Programme :

Globalink Research Award

Enhancements to Smart Disease and Pest Prediction System Through the Use of Machine Learning Techniques

Given the current global environmental crisis, developing sustainable solutions to enhance or replace our current agricultural practices is critical: the agricultural sector exerts important environmental pressure through its aggressive land, water and pesticide usage combined with the ever increasing demand on food supply. Mitigating this problem requires developing more sustainable and efficient agricultural techniques. Precisely, advances in networking and sensing technologies allows us to gather vast amounts of data in the fields that can be fed to complex machine learning and data mining algorithms to enhance current pest and disease prediction models. Such models feature unprecedented accuracy and flexibility, ultimately allowing farmers to significantly reduce their water and pesticide usage. This is exactly the kind of solution the current project will focus on by helping Ukko Agro, a Canadian company, extend the capabilities of their current precision agriculture solution.

Voir la description complète du projet
Superviseur du corps professoral :

Scott Sanner

Étudiant :

Partenaire :

Ukko Agro Inc

Discipline :

Computer science

Secteur :

Agriculture

Université :

University of Toronto

Programme :

Accelerate

Cognitive performance in patients with coronary artery disease undertaking exercise: imaging the role of brain-derived neurotrophic factor

Patients with coronary artery disease often present clinically with a cluster of vascular risk factors, which predispose them to stroke and can cause subtle deficits in cognitive performance. These deficits are believed to pertain, in part, to disease of the small blood vessels providing blood to the brain. Fitness is associated with better cognitive performance, but it is unclear if fitness interacts with small vessel disease and what the biological mechanisms might be. This project will test cognitive performance in patients with coronary artery disease, utilizing magnetic resonance imaging to quantify small vessel disease. In addition, we will investigate possible effects of a variant in the brain-derived neurotrophic factor gene to understand how this gene fits into the mechanism of cognitive resilience to small vessel disease. This project will advance two key foci of the Centre for Stroke Recovery; exercise and small vessel disease in the patients of the Toronto……………….

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Superviseur du corps professoral :

Krista Lanctôt

Étudiant :

Partenaire :

Heart and Stroke Foundation of Canada (ON);University of Toronto (Toronto Rehabilitation Institute)

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

University of Toronto

Programme :

Accelerate

Electrical Material Characterization and Non-Destructive Diagnostics on Power Cable Dielectric Materials subjected to Thermal Aging – Phase II

Electric power is almost entirely transmitted through polymer insulated cables or wires in every home, factory, plant, or apparatus. If the temperature of a cable increases, it would be an indication that some accidents or malfunctions such as inflow of excess electric current occur in the cable. The generated heat, indeed, degrades the polymer insulations in cable, thus, making it unsuitable and unsafe for extra service. Therefore, it would be markedly valuable if the thermally-degraded portion in the cable can be located accurately without destroying the cable. In this project the electrical properties of cables are studied and employed as potential indicators to diagnose thermally-degraded regions of the cable. As a result, possible malfunctions in cables due to heatoverloads can be detected in an efficient, fast, low-cost, and non-destructive way which elevates the safety and lowers catastrophic risk in power transmissions.

Voir la description complète du projet
Superviseur du corps professoral :

Sheshakamal Jayaram

Étudiant :

Partenaire :

Kinectrics Inc.

Discipline :

Engineering

Secteur :

Energy and Utilities; Environmental Science and Technology; Natural Resources

Université :

University of Waterloo

Programme :

Accelerate

Reconstruction of Historic Phosphorus Loadings to Mara Lake: Evaluation of Changes in Trophic State

Mara Lake in the southern interior of British Columbia, Canada, experienced a large algal bloom in 2010. Such algal blooms can be harmful to the health of humans and livestock, and can damage the ecological, recreational, and resource values of the lake. The algal bloom was associated with increased nutrient inputs from human land uses in the lake’s watershed. This project will use a paleolimnological approach to make objective, credible inferences as to past changes in human caused nutrient loading to Mara Lake. Inferred changes in past nutrient levels will be compared to contemporary indicators of nutrient loading obtained from mass balance approaches. The data and anticipated results from this study will inform best management and remediation measures to manage nutrient loading and mitigate environmental damage at Mara Lake.

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Superviseur du corps professoral :

Ian Walker

Étudiant :

Partenaire :

Fraser Basin Council

Discipline :

Life Sciences

Secteur :

Other services (except public administration); Professional, scientific and technical services

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Examining health and resilience among trans people across geopolitical locations.

The proposed study aims to address how different social and political climates affects the mental and physical health of transgender and gender diverse people living across 4 U.S. states and 1 Canadian province. This is significant because we are at a turning point in history in which there is both increasing visibility of trans people in society as well as significant backlash and hostility toward this already marginalized group; collecting data among transgender people living in both rural and urban areas will enable further analyses of place-based differences in minority stress experience and health. During the fieldwork component of the project, I will be trained in mixed methods data collection and analysis, including the biomarker collection, and conducting semi-structured interview. I will also participate in write-up and publication of findings, which will result in at least one or two peer reviewed publication and a several conference presentations.

Voir la description complète du projet
Superviseur du corps professoral :

Michael Schillaci

Étudiant :

Partenaire :

University of Oregon

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

University of Toronto

Programme :

Globalink Research Award

Optimizing Sea Cucumber Harvesting and Processing in Atlantic Canada

There are major areas of uncertainty concerning the exploitation and management of the sea cucumber (C. frondosa) industry in Atlantic Canada. This research project will address these gaps and give stakeholders a better understanding of C. frondosa, in order to make the best possible decisions relative to its management and conservation. The proposed research will also seek to identify concrete ways of optimizing sea cucumber harvesting and production, by increasing the quality, consistency, and competitiveness of the products, and exploring novel commercial avenues.

Voir la description complète du projet
Superviseur du corps professoral :

Annie Mercier

Étudiant :

Partenaire :

Quin-Sea Fisheries Ltd;Ocean Choice International;Green Seafoods;Fogo Island Co-op;Clearwater Seafoods

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

Memorial University of Newfoundland

Programme :

Accelerate

Optimization of Wastewater Treatment anaerobic digestion processes.

This project will test a variety of operating conditions used in anaerobic digestion (AD) in wastewater treatment (WWT) plants. The purpose is to identify optimal conditions for AD treatment process. Optimization of AD process would increase production of biogas for production of renewable energy, increase yield of bio-products for agriculture use, reduce WWT plant operating costs, and would decrease carbon footprint of municipal WWT plants. This study will use SENTRY-AD™ technology to monitor microbial activity under various treatment conditions. Data collected by the sensors will help to identify optimal AD operating conditions.

Voir la description complète du projet
Superviseur du corps professoral :

Pascale Champagne

Étudiant :

Partenaire :

Utilities Kingston;Island Water Technologies Inc

Discipline :

Engineering

Secteur :

Utilities

Université :

Queen's University

Programme :

Accelerate

Human Activity-based Cycle Time Analysis for Optimizing Repeatable Processes on Manufacturing Floors

Over 70% of tasks in manufacturing are still manual and because of this over 75% of the variation in manufacturing comes from human beings. Human errors were the major driver behind the $22.1 billion in vehicle recalls in 2016. Currently when plant operators want to gain an understanding of their manual processes, they send out their highly paid industrial engineers to run time studies. These studies produce highly biased and inaccurate data that provides minimal value to the manufacturing teams. This project aims to create a smart production assistant that helps manufacturing plant operators gain unprecedented visibility into their manual production operations allowing them to optimize their worker efficiency while maximizing productivity.

Voir la description complète du projet
Superviseur du corps professoral :

Jonathan Wu

Étudiant :

Partenaire :

IFIVEO

Discipline :

Engineering

Secteur :

Information and Communications Technology; Advanced Manufacturing; Technology

Université :

University of Windsor

Programme :

Accelerate

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