Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

Improving the calibration of a multi-camera system for accurate tool tracking

This research aims at improving the accuracy of a 3D-vision tracking system. The physical set-up consists of a tool to be tracked, such as a drill, with one or more planar patterns attached to it and a set of cameras. This set consists of one to four camera clusters, where each cluster has one or more cameras. The current tracking system consists of several modules, including one for the calibration of the cameras (intrinsic and extrinsic), and another one for the calculation of the 3D coordinates of an unknown physical point, the tip of the tool. The quality of all subsequent processes heavily depends on the accuracy of the system calibration of the multi-camera set-up. This project focuses on these two modules by (1) evaluating the existing calibration method and (2) devising better algorithms to improve the accuracy of both the calibration and the estimated 3D coordinates of the tool tip.

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Faculty Supervisor:

Boubakeur Boufama

Student:

Partner:

Radix Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Windsor

Program:

Accelerate

Brain Decoding Models for neurodegenerative disease aided diagnosis and classification

Globally, brain-related diseases such as Alzheimer’s disease and Epilepsy have a huge toll on patients, loved ones, and healthcare systems. The research project aims to establish a model to better diagnose neurodegenerative diseases. There is a wealth of clinical test data, symptoms, and observations associated with the long list of neurodegenerative diseases. In
order to better understand underlying causes of these diseases, neuroinformaticians are developing software tools to link the volumes of data to underlying causes of each brain-related
illness. The research aims to apply computational tools and approaches to understand the brain and integrate symptom information to help interpret and treat neurodegenerative diseases. The project aims to develop a generic brain decoding model which would be able to aid diagnosis, understanding, and patient treatment. The project is a significant undertaking given the structural, functional, and environmental variables across patients thus making diagnosis particularly challenging.

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Faculty Supervisor:

Rustom Bhiladvala

Student:

Partner:

Beihang University

Discipline:

Engineering

Sector:

Education

University:

University of Victoria

Program:

Globalink Research Award

Flexible In-Home Caching for Video Streaming Services

NightShift optimizes customers’ bandwidth usage when using streaming services. It does this by taking advantage of off-peak bandwidth availability to cache digital media content
addressing both problems of limited bandwidth (which impacts real-time streaming) and bandwidth quotas (which can result in bandwidth throttling or overage charges). The goal of
this research is to explore interfaces that allow end-user control of local storage and download while still preserving digital rights security and the platform (e.g. Netflix) experience
of viewing content. In particular, we will explore:
• Intuitive web interfaces to manage local content.
• Intuitive web interfaces to communicate bandwidth consumption trade-offs to end users.
• Multi-device set-ups to support simultaneous viewing and content management both in terms of download and in terms of local content storage.

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Faculty Supervisor:

Edward Lank

Student:

Partner:

Aterlo Networks Inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Waterloo

Program:

Accelerate

Developing strategies for informed collaborative decision making forvegetation management on northern Rights-of-Way

Integrated Vegetation Management (IVM) is an approach that utility companies can use to manage vegetation under or near transmission lines and has been successfully applied in southern jurisdictions. IVM requires practitioners to understand and manipulate plant communities to meet management objectives, such as maintaining a low growing plant communities that help prevent the regrowth of trees. Selective herbicide application is a common technique used in IVM, however, questions remain regarding the effectiveness and environmental impact of IVM and herbicide use in northern boreal ecosystems. In addition, northern Indigenous communities that use rights-of-way (ROWs) and surrounding environments for trapping, hunting and traditional food and medicinal plant harvesting have expressed concerns regarding the use of herbicides. Our project will address both the environmental and social aspects of assessing the risks associated with IVM and herbicide use on northern ROWs in order to provide relevant local data for informed collaborative decision making. We propose to take a unique approach by simultaneously developing improved community engagement strategies while working closely with both industry and community members to provide key information for effective vegetation management of northern ROWs.

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Faculty Supervisor:

Katherine Stewart;Maureen Reed

Student:

Partner:

SaskPower

Discipline:

Earth science

Sector:

Utilities

University:

University of Saskatchewan

Program:

Accelerate

Duplicate detection for billing systems

Merging different sub-companies into TELUS caused some of customer records to be repeated through the merged data-set. Algorithms are needed to determine the duplicate records. Currently a deterministic algorithm is being used in TELUS. In this project, we will investigate if machine learning can help to detect duplicates. Solving this problem has several parts. We have to preprocess the data and select some features from the TELUS records that help us in our model. A probabilistic model should be selected, implemented and tuned. Then, it is necessary to test the proposed model and compare that with the current systems.

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Faculty Supervisor:

David Poole

Student:

Partner:

TELUS (Vancouver, BC)

Discipline:

Computer science

Sector:

Information and cultural industries

University:

The University of British Columbia

Program:

Accelerate

CryoDrive: The effects that implementation of cryogenic engines would have on underground mining processes

Cryogenic engines, such as the Dearman engine, produce work and substantial cooling with zero emissions at the point of use, due to their liquid nitrogen ‘fuel’ supply. Background work has shown that technically, (power, turn down ratio, responsiveness, torque), there are few identifiable factors that would prevent this type of engine from being very effective if installed in underground mining vehicles. For the mines, one important logistical difference implied in a switch to cryogenic engines is that liquid nitrogen would need to be distributed underground, rather than diesel fuel; distribution systems supporting the mining process would have to change too. The intern will draw upon the mining expertise at MIRARCO and work with the
Dearman Engine Company and Air Products Inc, to develop deeper understanding of the infrastructure required for large scale use of refrigerating cryogens underground and how the logistical arrangements may affect the safety and productivity of mining systems.

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Faculty Supervisor:

Dean Millar

Student:

Partner:

Mining Innovation, Rehabilitation and Applied Research Corporation

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Laurentian University

Program:

Accelerate

Identification of medical marijuana cultivars with novel therapeutic potential

Neuropsychiatric disorders, including depression and anxiety, represent prevalent and disabling medical conditions affecting society. Despite the urgent need for novel pharmacotherapeutics to treat these conditions, there are few new drugs in development by the pharmaceutical industry. Cannabis has been used by humans for thousands of years to self-medicate a range of different neuropsychiatric symptoms, although few studies have addressed this issue in a scientific manner. With the dramatic rise of the medical marijuana industry in Canada, there is an urgent need to identify which cultivars may be of clinical benefit. We will therefore evaluate the potential therapeutic efficacy of different cannabis cultivars using sophisticated animal models. Cultivars which vary in their constituent cannabinoids will be tested using a panel of neuropsychological assays that assess both clinical properties as well as potential side-effects. Our industry partner will combine their expertise in neurochemistry with our results to help us identify key cultivars for clinical testing in humans.

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Faculty Supervisor:

Alasdair Barr

Student:

Partner:

Cannevert Therapeutics Ltd

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Develop integrated management of bacterial canker disease for greenhouse tomato

Greenhouse industry is an important agricultural sector in Canada. Approximately half of the Canadian vegetables is produced in commercial greenhouses. Ontario greenhouse industry contributes to 40% of greenhouse production in Canada. As one of the most important greenhouse crops, tomato production is threatened by canker disease leading to significant loss for growers. Tomato canker disease is caused by Clavibacter michiganensis subsp. michiganensis (Cmm), a Gram-positive bacterium. This is a very difficult plant disease to eradicate or manage. In this proposal, the academic supervisor Dr. Ze-Chun Yuan and the participating intern will work closely with Ontario Greenhouse Vegetable Growers (OGVG, the partner organization) to develop integrated strategies based on natural chemicals and biological controls to reduce and manage tomato canker disease. The proposed research may also help improve tomato production and quality, nutritional value and flavor, thereby enhancing the market value and profit/revenue for greenhouse growers in Ontario and Canada.

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Faculty Supervisor:

Ze-Chun Yuan

Student:

Partner:

Ontario Greenhouse Vegetable Growers

Discipline:

Life Sciences

Sector:

Agriculture; Other services (except public administration)

University:

Western University

Program:

Accelerate

Spatial and Temporal Linear Induction Motor Harmonics

Linear Induction Motors (LIMs) are used in a significant portion of existing rail transport systems, and Bombardier Transport Canada Inc. is a global leader in the industry. LIMs will be ever more important in the future with the expansion of Maglevs globally. In this project, the intern will explore the mathematical models used in designing LIMs. The main objective will be improving the mathematical treatment in order to increase the efficiency of LIMs and eliminate or minimize undesirable effects such as overheating. Improving the efficiency leads to savings in energy consumption of operating LIM rail transport systems, and eliminating undesirable effects leads to savings in maintenance costs. The results will help maintain Bombardier’s position as the world leader in LIM design and manufacturing.

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Faculty Supervisor:

Jordan Morelli

Student:

Partner:

Bombardier Transportation (Millhaven, ON)

Discipline:

Engineering

Sector:

Manufacturing

University:

Queen's University

Program:

Accelerate

A Body-Sizing Model to determine Personalized Spring Stiffness forthe Personal Lift Assistive Device (PLAD)

The Personal Lift Assistive Device (PLAD) is an “on-body” ergonomic aid comprised of: 1) a springbox to assist workers’ back muscles; 2) padded cables to tension the springs at the shoulders and feet; and, 3) apelvic spacer to provide improved leverage. In all previous tests, the PLAD has reduced back forcerequirements by ~ 20% during lifting and static holding tasks. This proposed research project has three phases:1) develop a sizing chart for small, medium and large workers using previous data and lab tests, 2) determine itseffectiveness in a field trial at a local nylon company, and 3) create a spring stiffness chart, PLAD sizingbrochure and computer interface to be used by Peakworks Inc. This work will help the company: i) manufacturePLAD systems that are ideally suited to workers’ personal characteristics and their job demands, and ii) reachthe marketplace sooner with a simple and cost-effective marketing aid.

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Faculty Supervisor:

Joan Stevenson

Student:

Partner:

Discipline:

Engineering

Sector:

University:

Queen's University

Program:

Accelerate

Méthodes de lutte intégrée contre la cécidomyie du chou-fleur dans le canola au Québec

La cécidomyie du chou-fleur est un insecte exotique envahissant observé pour la première fois dans le canola au Québec en 2006. En 2009 et 2010, des suivis entomologiques ont permis de démontrer qu’il était présent dans toutes les régions productrices de canola du Québec. Les premiers dommages sévères ont été observés depuis 2 ans au Témiscamingue et en 2015 au Saguenay-Lac-St-Jean. L’insecte menace sérieusement la culture du canola au Québec. Ainsi, dans la région du Temiscamink en Ontario, la production de canola est passée de 25 000 ha en 2013 à 4400 ha en 2014, car les producteurs avaient subi des pertes de rendement allant jusqu’à 85%. La cécidomyie du chou-fleur a une attirance particulière pour certains composés à l’intérieur de la plante. Certains cultivars de canola pourraient être moins intéressants pour le ravageur. Une évaluation en laboratoire permettrait d’évaluer si certains cultivars de canola pourraient être utilisés pour réduire les dommages au champ. Une date de semis hâtive du canola peut limiter les dégâts, mais les conditions climatiques compliquent le plus souvent le semis. Une méthode de lutte alternative, basée sur la culture-piège, permettrait d’allonger la période de semis. TO BE CONT’D

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Faculty Supervisor:

Éric Lucas

Student:

Partner:

CÉROM

Discipline:

Earth science

Sector:

Agriculture and Food

University:

Université du Québec à Montréal

Program:

Accelerate

Multi-point shear-stress measurements on an impulsively started cylinder

Envenio is a Canadian company that specializes in advanced analysis of fluid dynamics and fluid structure interaction in the technological and environment settings. Envenio is also a software development company that owns an advanced Computational Fluid Dynamics solver, EXN/Aero, that uses many core technology in the parallel computation of unsteady and fully turbulent flows. Envenio seeks experimental data to validate their unsteady separation codes. To this end, an intern in Dr. Joseph Hall’s Turbulence and Flow Noise Laboratory is proposing to provide unsteady shear-stress data on the surface of an accelerating cylinder

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Faculty Supervisor:

Joseph Hall

Student:

Partner:

Envenio Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of New Brunswick

Program:

Accelerate

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