Projets novateurs réalisés

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

31 620 projets complétés

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Projets par catégorie

A Mobile Tree Mapping Application For Toronto Urban Parks

The purpose of this MITACS Accelerate project is to create a cross-platform mobile tree mapping
application that would serve as a learning resource and participatory interface for citizen engagement
concerning urban tree stewardship. The tool will be prototyped for Grange Park, a prominent and
heavily used urban park in downtown Toronto. Development of the mobile mapping tool will use
HTML5 with several Application Programming Interfaces (APIs) and libraries such as jQuery and
Google Maps/Fusion Tables. The project has two organizational partners. Toronto’s Park People is
supporting the project as a way to assist with its goal of mobilizing Toronto residents who care about
parks to address challenges facing urban public spaces. Urban Forest Associates Inc. (UFORA)
believe that the proposed tool, in the hands of the public, could translate into increased demand for
both tree care and sustainable urban ecological planning, two services for which it specializes.

Voir la description complète du projet
Superviseur du corps professoral :

Andrew Millward

Étudiant :

Partenaire :

Urban Forest Associates Inc;Park People;Tides Canada (BC)

Discipline :

Sociology

Secteur :

Agriculture

Université :

Toronto Metropolitan University

Programme :

Accelerate

Development of mathematical models/applied AI for estimation of compressive strength of concrete using non-destructive testing methods

The proposed project aims to apply artificial intelligence methods to augment in-place non-destructive testing technologies in order to reduce or eliminate the need for intrusive methods (i.e. concrete core extraction) for concrete strength estimation. The proposed approach is based on the SonReb method, which combines two non-destructive testing technologies, namely ultrasonic pulse velocity and rebound hammer, for assessing subsurface and near-surface concrete properties. The project will involve the development of a rich regional database that will be used to train an artificial neural network, which in turn will be used to develop algorithms/mathematical models that can be programmed into user-friendly software for rapid implementation in the field. It is expected that the project will ultimately result in the development of both a new software tool and a dual-purpose testing device that will result in new revenue streams and expanded market share for the project partner.

Voir la description complète du projet
Superviseur du corps professoral :

Martin Noel

Étudiant :

Partenaire :

FPrimeC Solutions Inc

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Ottawa

Programme :

Accelerate

Neurorehabilitation of the hand post-stroke or brain injury

Stroke is the number one cause of adult disability in the world. Due to the neurological damage from stroke, a vast majority of individuals suffer from hand function disability (~70%). To improve hand function and overcome challenges from this disability, IRegained has developed the MyHandTM system, a connected mechatronic device with programmed proprietary hand function training protocols developed through deep research in neuroplasticity for targeted hand function therapy.
This research projects aims to gamify these hand function training protocols and validate the enhanced patient engagement and motivation. The effectiveness of the therapy is dependent on intensity and repetition, which is expected to be achieved through gamification.
IRegained Inc will greatly benefit from this MITACS project through acceleration of its time to product launch, and clinical validation through direct user experience.

Voir la description complète du projet
Superviseur du corps professoral :

Ratvinder Grewal

Étudiant :

Partenaire :

IRegained;Synaptic Technologies

Discipline :

Life Sciences

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Laurentian University

Programme :

Accelerate

Low-cost Machine Type Communication User Equipments for LTE. (Part 2)

Machine-to-machine (M2M) devices are defined as the equipments which do not require a
direct human interaction for communicating to each other. M2M networks are predicted to
have a large end-user market in the near future with numerous potential applications, such as
home automation, patient monitoring, transportation, and smart metering. Currently, the main
bottleneck is to reduce the overall cost of these equipments in order to enable a practical
implementation of densely-deployed M2M networks which can cover an area of interest and,
for example, connect different regions of a city. The proposed research will be part of Sierra
Wireless’ ongoing activities to develop such low-cost machine-type communication devices
compliant with the long-term evolution (LTE) communications standard.

Voir la description complète du projet
Superviseur du corps professoral :

Lutz Lampe

Étudiant :

Partenaire :

Semtech

Discipline :

Engineering

Secteur :

Université :

The University of British Columbia

Programme :

Accelerate

Standardized ginseng polysaccharide extracts for immune health

The COVID-19 pandemic is unlike anything the world has seen in over a century, both in terms of global spread and economic impact. Certain individuals particularly the elderly and those with underlying diseases, are more susceptible to severe infection and dysregulation of the immune system. Since the recent outbreak, many more individuals have been taking immune stimulating natural health products (NHPs) to promote better immune health. Unfortunately, quality of most NHPs in Canada is not regulated to a high standard. This proposal will focus on producing a high quality immune-boosting ginseng polysaccharide(s) (G-PS) extract using WPC’s regular and thermal-processed American red ginseng that are standardized to guarantee delivery of a minimum dose of the specified immunostimulating G-PS. This will enable the refinement of design of novel polysaccharide-based immunomodulation nutraceuticals, such as PS nanoparticles, and provide scientific and clinically relevant evidence to support their health claims.

Voir la description complète du projet
Superviseur du corps professoral :

Baoling Chen

Étudiant :

Partenaire :

Western Phytoceutica Inc (ON)

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Lambton College

Programme :

Accelerate

Socio-Economlc Mine Closure (SEMC)Guideline: An Evaluation of the Local EconomicDevelopment (LED) Initiatives Implemented byMining Companies to Address the AdverseResults of Mine Closure.

This Mitacs-accelerate proposal is the second of a three stage project to be developed as part of
Andre Xavier’s PhD investigation. The complete research seeks to analyze the initiatives implemented
by mining companies that are aimed at addressing the socio-economic impacts imposed on local
communities when a mine ceases its operations. Additionally, a socio-economlc mine closure
guideline will be developed to assist mining communities and companies in anticipating and mitigating
the impacts that the closure of a mine has on communities. All of the ground work for the field
research was conducted during the first Mitacs proposal, and during this second phase of the
proposal, the actual field work will take place in the Northwestern Territories where Diavik Diamond
Mine holds its operations. The field work entails the distribution of surveys to community members
and to the company’s representatives. Additionally, in-depth interviews will also be conducted with key
individuals from both groups. The present research will supply Diavik with several…TOBECONT’D.

Voir la description complète du projet
Superviseur du corps professoral :

Marcello Veiga

Étudiant :

Partenaire :

Diavik Diamond Mine Inc

Discipline :

Engineering

Secteur :

Mining

Université :

The University of British Columbia

Programme :

Accelerate

Synthesis of Pheromone Analogs for the Control of Parasitic Insect Infestation

SemiosBIO is an entrepreneurial business trying to find a chemical basis for fighting bed bug
infestation. Bed bugs (Cimex lectularius) are paraSitic insects feeding exclusively on warm-blooded
animals, including humans. Their preferred habitat includes beds and other areas used by humans to
sleep. An infestation with bed bugs can provoke a number of health problems such as skin rashes,
allergies or psychological problems. This project deals with the chemical preparation of insect
pheromone analogs which will be tested for their potential as bed bug attractants. Should they prove
efficient they will be used as a means to control paraSitic infestations by luring the insects away from
the infestated areas. SemiosBIO Technology perceives a strong market for efficient and cost-effective
tools to detect and monitor bed bug infestations and the academic group at UBC is supporting their
business goal by providing expertise in the field of chemical synthesis.

Voir la description complète du projet
Superviseur du corps professoral :

Gregory Dake

Étudiant :

Partenaire :

SemiosBio Technologies Inc

Discipline :

Physics

Secteur :

Université :

The University of British Columbia

Programme :

Accelerate

First Time Home Buyers in a Post-COVID World

The current pandemic is changing how people work, and creating a new way to think about home. From setting up a kitchen office, to being able to drop a lengthy commute, people across Canada are interacting with their living space in new ways. First time homebuyers (FTHB) have a unique opportunity to re-evaluate what is important to them when house-hunting, but the ways in which the real estate industry communicate with prospective buyers is slow to change. This project asks Millennial FTHB directly about what they look for in a first home, and how they find that information. As a boutique property tech company, Zoocasa Realty Inc. can quickly pivot their marketing to accommodate evolving consumer values. However, without the proper knowledge of shifting markets, they risk implementing ineffective strategies. This project provides invaluable insight into an under-serviced demographic, allowing Zoocasa to identify the best path forward. And it also provides valuable insight into the rapidly transforming real estate market which will have direct and immediate impacts on urban and suburban spaces.

Voir la description complète du projet
Superviseur du corps professoral :

John Shiga;Natalie Coulter

Étudiant :

Partenaire :

Zoocasa Realty Inc.

Discipline :

Sociology

Secteur :

Real estate and rental and leasing

Université :

Toronto Metropolitan University

Programme :

Accelerate

Driver motion prediction using behaviour classifications of vehicles

A significant portion of decision making, path planning and navigation algorithms for Autonomous Vehicles (AV) rely heavily on accurate estimation of the current location as well as future trajectories of the surrounding road users. There are different kinds of drivers in urban environments, and an expert human driver will identify dangerous drivers and avoid them accordingly. However, existing autonomous driving systems often treat all neighboring vehicles the same and do not take actions to avoid the dangerous drivers.
For active safety and reduced reaction times, Gatik’s AVs need to accurately predict the behaviours of surrounding agents to be able to make safe & reliable complex decisions such as merging, unprotected left turns, lane change,
etc
The goal of this research project is to develop new techniques for enabling accurate & reliable driver behaviour
prediction to ensure safer reactions in avoiding dangerous neighboring drivers, pedestrians and cyclists, and
efficient navigation around careful drivers.

Voir la description complète du projet
Superviseur du corps professoral :

Krzysztof Czarnecki

Étudiant :

Partenaire :

Gatik Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Accelerate

Minimiser les efforts d’annotation lors du développement d’un modèle prédictif en traitement des langues – Phase 1

Développer un modèle prédictif en traitement automatique des langues requière la création d’un corpus annoté : un texte et des annotations que l’on tentera de reproduire automatiquement. Il s’agit d’une activité à la fois complexe (les annotations sont souvent du ressort d’un expert) et coûteuse (annotations méticuleuses à produire en grande quantité). Le projet vise à développer une expertise pour minimiser les interventions (annotations) permettant d’obtenir un modèle prédictif d’une qualité donnée.

Voir la description complète du projet
Superviseur du corps professoral :

Philippe Langlais

Étudiant :

Partenaire :

LexRock AI

Discipline :

Mathematics

Secteur :

Administrative and support, waste management and remediation services; Information and cultural industries

Université :

Université de Montréal

Programme :

Accelerate

Aide au recensement de population en Afrique par application de l’apprentissage profond aux images satellites Haute Résolution (HR) et Très Haute Résolution (THR)

Le but de ce projet est de développer une méthode basée principalement sur les images satellites afin d’estimer la taille de la population et ses déplacements dans les pays où un recensement complet est difficile à réaliser pour des raisons de coût ou d’instabilité politique. L’approche sera basée sur l’application de l’apprentissage profond aux images satellites THR pour la détection des bâtiments résidentiels et leur caractérisation en fonction du nombre d’habitants, puis l’extrapolation des résultats à l’ensemble du pays à l’aide de données satellites HR. Ces dernières vont également permettre de suivre les déplacements de population. Le site d’étude sera le Soudan, pour lequel les données du recensement de 2008 sont disponibles. Le modèle d’apprentissage profond résultant de l’entrainement sur les images de 2008 sera appliqué à des images récentes (2020) afin de guider un recensement ciblé en 2020/2021 au Soudan.

Voir la description complète du projet
Superviseur du corps professoral :

Yacine Bouroubi

Étudiant :

Partenaire :

Apexmachina Inc

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Université de Sherbrooke

Programme :

Accelerate

Optimization of sentence classification for insurance applications

This research is carried out on the topic of natural language processing and specifically on word representation on Question Answering tasks. The state of the art in Question Answer task is Google’s Bidirectional Encoder Representations from Transformers (BERT) language model.
Koïos Intelligence is interested in fine-tuning this model for their closed domain artificial intelligence (AI) virtual assistant, targeted at insurance and financial applications. The general objective of this research is to improve the performance of Koïos’s NLP solutions by investigating state of the art sentence embeddings and fine-tuning BERT to the domain of insurance. Specifically, the intern will attempt to improve on BERT by examining how sentences are embedded and the impact of these embeddings on accuracy and performance of the model. The uncertainty of this work lies in whether state of the art sentence embeddings can be improved on in the context of insurance natural language datasets.
The internship project will principally focus on the acceleration and optimization of software developed at Koïos, based on research of state-of-the-art sentence embeddings. The intern will validate and test alternatives for user intent classification in order to improve the system performance.

Voir la description complète du projet
Superviseur du corps professoral :

Fabian Bastin

Étudiant :

Partenaire :

Koïos Intelligence Inc

Discipline :

Business

Secteur :

Professional, scientific and technical services; Retail trade

Université :

Université de Montréal

Programme :

Accelerate

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Mitacs — Retour sur innovation

Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.