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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856
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696
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899
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Projets par catégorie

Image Deblurring for Mobile Devices Year Two

The wide proliferation of digital cameras has resulted in a massive flow of images captured then shared online in various forms. At the same time, capturing high-quality images with embedded cameras remains a significant challenge. One of the most common image degrading effects is motion blur, produced by camera movement while taking a photograph. This problem is widespread and has attracted considerable research and development efforts, but there is still no satisfying solution in place suitable for a wide variety of conditions. In this research project, we will consider the problem of image deblurring for mobile devices. We will consider existing algorithms that estimate the camera movement and remove motion blur, and we will develop new ones. For the industrial partner, this project will result in an enhancement of its product portfolio for the mobile device industry, video surveillance and visual data processing.

Voir la description complète du projet
Superviseur du corps professoral :

Pierre Langlois

Étudiant :

Partenaire :

Algolux

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

École Polytechnique de Montréal

Programme :

Elevate

Software Quality assurance internship supporting R&D in the development of a commercial stroke decision support tool

Acute stroke is a leading cause of global death and disability. Quick access to robust treatments significantly improves patient outcomes, however, accurate interpretation of diagnostic imaging and effective communication of suspected findings remains a serious challenge for all stroke networks. Circle Neurovascular Imaging (Circle NVI), a wholly owned subsidiary of Circle Cardiovascular Imaging (Circle CVI) and a joint venture with the Calgary Stroke Program, is building a software as a service business aimed at providing physicians with an acute stroke decision aid tool, StrokeSENS™ that will leverage artificial intelligence (AI), advanced image-processing, and network connectivity to support physicians and other healthcare team members to simplify stroke care, with a focus on enabling front line stroke centers. Circle NVI’s mission is to simplify stroke care by augmenting front-line physician decision making.
Developing software improvements and new software features for our StrokeSENS software, in addition to building solutions for business-to-business partners with one small team is challenging. Funding through this Mitacs BSI internship will enable us to have an additional Quality Assurance (QA) team member working with our Research & Development and platform development teams.

Voir la description complète du projet
Superviseur du corps professoral :

Christopher Bouwmeester

Étudiant :

Partenaire :

Circle Neurovascular Imaging

Discipline :

Computer science

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Toronto

Programme :

Business Strategy Internship

Intelligent 5G/B5G Service Function Chain Provisioning

This project aims to solve a primary problem of 5G/B5G Networks, namely the Service Function Chain (SFC)
provisioning problem. This project will improve the solutions for this problem in two aspects. First, the SFC architectures considered in this project are futuristic/generalized ones that do not appear in existing systems. These architectures reduce the processing time of services by concurrently performing tasks at different locations. These sophisticated systems represent a complicated SFC provisioning problem that has received very little attention in the literature. Second, this project will improve existing provisioning solutions by robust traffic prediction frameworks. Most of the existing traffic prediction frameworks consider only one location at a time and rely on historical data strongly. Data traffic patterns at different locations correlate mutually. And historical data is not usually available because of stringent privacy agreements. This project will apply the latest Artificial Intelligence and Machine Learning techniques, especially online learning, to design robust solutions and evaluations. For Ciena – a leading organization in the networking service industry, this research project adheres to Ciena with innovative technologies of 5G/B5G Networks. Ciena may get prototypes from this project that lead to products in the future. The research outcomes can also confirm the effectiveness

Voir la description complète du projet
Superviseur du corps professoral :

Brigitte Jaumard;Abdelhak Bentaleb

Étudiant :

Partenaire :

Ciena Corporation (Ottawa, ON)

Discipline :

Computer science

Secteur :

Information and cultural industries; Manufacturing; Professional, scientific and technical services

Université :

Concordia University

Programme :

Accelerate

Development of fabrication process for AFM probes

Atomic Force Microscopy (AFM) is one of the most widely used imaging tools by the researchers and industries
to view and characterize tiny objects. This tool uses a very tiny and sharp probe to scan or feel the surface of the
specimens and then it produces a topography image of the scanned surfaces. This research project aims to
develop the cleanroom fabrication process for “soft” probes with low force constant as needed for biological
imaging, durable probes with long lifetime using diamond as the tip material, and high aspect ratio silicon tips for
accurately imaging deep trenches or tall structures.

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Superviseur du corps professoral :

Bo Cui;Guoxing Miao;Dayan Ban

Étudiant :

Partenaire :

Nanodevice Solutions Inc.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

University of Waterloo

Programme :

Accelerate

Powered by ARC Brand Opportunity Platform

We are looking for an intern to help add a new and exciting component to our platform which will connect our athletes/streamers with brand opportunities and be a core growth driver for the ARC Profile product. The purpose of this component is to act as an interface for a brand to post multiple opportunities such as sponsorships and scholarships and give them the ability to interact with applicants seamlessly. The design of the platform will facilitate these connections by pushing appropriate candidates for the available opportunities. For example, if Golf Town was looking for a match, the program would suggest qualified golfers to them, making the connection process more efficient The platform will also offer performance-based rewards in the form of trophies or product giveaways that brands can link to their products to. Another key component of the platform will be direct transfer of funds from the brand to the user and contact information for shipping of product or equipment. While all these features are certainly beneficial to brands, this will also help athletes and streamers to build their careers and portfolios. The platform will act as an interface for players to easily view and apply to opportunities and even have options pushed directly to them if they are a match for the brand.

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Superviseur du corps professoral :

Natasha Turgeon

Étudiant :

Partenaire :

Powered by ARC

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Mohawk College of Applied Arts and Technology

Programme :

Business Strategy Internship

GenGuard Software Platform Reliability and Maintainability Enhancement

Modernizing plant breeding programs through integrated genomic and phenomic data management and analysis is an important organizational innovation for many public and private plant breeding organizations. This project involves enhancing the reliability and maintainability of the GenGuard software platform to support marker-assisted breeding with the partner organization. The objectives of the project include improving the website reliability, the data integrity, and the software maintainability of this system. The outcomes of the project will enhance operational efficiency and data security for the partner organization.

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Superviseur du corps professoral :

Ian Stavness;Debajyoti Mondal

Étudiant :

Partenaire :

Nutrien Ag Solutions (Saskatoon, SK)

Discipline :

Computer science

Secteur :

Agriculture

Université :

University of Saskatchewan

Programme :

Business Strategy Internship

Image-based phenotyping to accelerate analysis of breeding field trials

Plant breeding companies develop new seed varieties by growing thousands of candidate varieties in large field trials and manually selecting the best-performing varieties. Variety selection is informed by genomic data, but plant populations still need to be grown in field conditions and screened for specific physical characteristics, called phenotypes, such as yield, disease resistance, harvestability and other important traits. In-field measurements of these phenotypes are expensive, tedious and time consuming, and much of the collected data is not directly used by breeders. Digital phenotyping has the potential to efficiently provide critical information to plant breeders by analyzing aerial images of field experiments collected by unmanned aerial vehicles (UAVs). However, the process of transforming UAV images into actionable information for plant breeding companies remains a significant bottleneck in this important process. To capitalize on the potential efficiency and genetic gain enabled by UAV based imaging of field trials, we propose to work with Nuseed Canada to integrate and refine our PlotVision software into Nuseed Canada processes for their crop breeding field trials.

Voir la description complète du projet
Superviseur du corps professoral :

Ian Stavness

Étudiant :

Partenaire :

Nuseed Canada

Discipline :

Computer science

Secteur :

Agriculture

Université :

University of Saskatchewan

Programme :

Business Strategy Internship

Cansbridge Internship

As a Cansbridge fellow, the intern will research and develop reports related to global educational pedagogy and strategic business plans for educational technology companies to promote innovation in the EdTech industry in Canada. The intern will work alongside a managerial team and relevant stakeholders within an EdTech company to develop a strategic business plan for the Canadian market. The intern will maintain and engage in relationship will current clients and contacts, while aiding with class scheduling, assessment, and academic content. The capstone research project will be reported and presented by the intern.

Voir la description complète du projet
Superviseur du corps professoral :

James McLellan

Étudiant :

Partenaire :

Cansbridge Fellowship

Discipline :

Business

Secteur :

Social Innovation; Education

Université :

Queen's University

Programme :

Business Strategy Internship

BSI Project Proposal for Laura Russell

The aim of this project is to inform the development of, and fully test and develop a mobile application designed to improve the process in which people find shared accommodation/ roommates. User experience (UX) and user interface (UI) are important elements for creating successful digital products, where the user experiences positive emotions while interacting with the product. UX/UI has become an increasingly important determinant of the success or failure of software systems. Experiments with customers require the ability to elicit customer feedback and techniques for collecting qualitative data can include surveys, interviews and observations. The research proposed will allow the partner organizations to test and further develop a roommate matching platform that provides users access to verified roommates and listings, as well as in-app messaging, to develop relationships with potential roommates. The allows users to search for compatible roommates not just by budget and location, but by living preferences and personality traits. In addition to designing and building this platform, the partner organization willl also conduct research on what features users request to strategically prioritize the company’s growth.

Voir la description complète du projet
Superviseur du corps professoral :

Dean Tsaltas;Steven Smith

Étudiant :

Partenaire :

Cohability Inc

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Nova Scotia Community College

Programme :

Business Strategy Internship

Work zone Delay Modelling using Big Data and Machine Learning

Managing traffic through work zones is a highly complicated task where designers need to ensure smooth traffic flow without exposing workers to safety risks. One aspect of effective work zones traffic management involves predicting anticipated delays, understanding their causes, and proactively mitigating those causes. Unlike smooth traffic flow, predicting travel times and delays through interrupted traffic conditions is a more challenging task. This is particularly true when simultaneously managing traffic through multiple work zones, such as along the 700km Trans Mountain corridor between Edmonton and Vancouver where lapses in GPS signal and drops in cellular coverage are common. To help facilitate more effective work zone traffic management, this project aims to utilize Big Data collected along the Trans Mountain corridor to develop advanced statistical machine learning models capable of predicting travel times and delays along the corridor and other similar roads. The project will also investigate the impacts of several temporal, weather, and design variables on the delays to facilitate better traffic management.

Voir la description complète du projet
Superviseur du corps professoral :

Suliman Gargoum

Étudiant :

Partenaire :

ATS Traffic

Discipline :

Engineering

Secteur :

Manufacturing

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

The Next Generation Agriculture: Role of functional endophytic microbiome in Cannabis varieties against mycotoxigenic fungi and Powdery mildew.

Recent publications have surveyed cannabis flower microbiological communities, detecting several concerning genera like Aspergillus spp., Penicillium spp. Clostridium, Eschericia, Salmonella and Staphyloccus. There are several documented cannabis complications and even fatalities due to Aspergillosis in immuno-compromised patients. One must also recognize that strict and nonspecific microbial regulations can eliminate the use of beneficial microorganisms in agriculture and deliver unforeseen consequences in the marketplace. Mandated laboratory testing for non-specific total yeast and mold petri-dish assays will fail commonly when used chitinase (anti-fungal) producing microorganisms like Trichoderma hazarium. T. hazarium is known to reduce Aspergillus growth. These false TYM failures can induce growers to use less biological fungicides and more chemical fungicides that are known to concentrate preferentially over cannabinoids in some extraction methods. Antifungal beneficial microbes that are harmless to human health are far easier to sterilize than small molecule fungicides like myclobutanil.

Voir la description complète du projet
Superviseur du corps professoral :

Suha Jabaji;Saji George;Saji George

Étudiant :

Partenaire :

Bio Sun Products Inc.

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services; Wholesale trade

Université :

McGill University

Programme :

Accelerate

Energy Efficient Solar Refrigeration Systems for Long-Haul Trucks

the power requirements of refrigeration units in long-haul trucks. The proposed solution will help displace an equivalent amount of diesel fuel that is otherwise used to power the refrigeration unit. Specifically, this research will result in a comprehensive embedded systems platform for the remote monitoring of Westhill Innovation’s solar powered reefer setup. Using a detailed experimental set up and analysis, we will design a PLC based power system to power a reefer trailer completely using renewable energy such as solar. This will require a detailed hardware design consisting of the various subsystems, for process monitoring, control, and operation. The entire system will be specially designed to withstand and endure harsh conditions incurred in continuous highway driving, which is typical in the long-haul trucking field. Further, we will develop a suite of customized communication protocols for a co-ordinated operation of the various subsystems. Additionally, we will also design customized human interface modules for the vehicle operator and the service engineers at Westhill, to facilitate collective monitoring, timely intervention, and servicing, to enhance the efficiency of the solar powered reefer.

Voir la description complète du projet
Superviseur du corps professoral :

Seshasai Srinivasan;Zhen Gao

Étudiant :

Partenaire :

Westhill Innovation Inc.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

McMaster University

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.