Innovative Projects Realized

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

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Power Flow control in HVDC Grid and its effect on the system stability of underlying AC network

The share of Renewable Energy (RE) resources in overall power generation has grown over the years. Since these RE resources are located at places which are away (off-shore, desert) from the load centres, efficient and reliable power transmission to load centres is extremely important. High Voltage Direct Current (HVDC) transmission has evolved as the preferred efficient way to transmit large amount of power over long distances. It is proposed to interconnect HVDC transmission networks to form a HVDC grid for increasing efficiency and reliability. Since HVDC transmission is controlled by fast acting power electronic controls which have much faster response than conventional ac control, it becomes extremely important to study the effect of HVDC controls on power transfer with interconnected AC power systems so that both the systems operate in a robust stable condition. This project studies the effect of electro-mechanical oscillations due to power flow control on HVDC grid and its effect the stability of interconnected AC system.

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Faculty Supervisor:

Aniruddha Gole

Student:

Rajesh Vaid

Partner:

Electranix

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Manitoba

Program:

Accelerate

Evaluation of smart sprayer for spot-application of agrochemical in wild blueberry fields

There is an urgent need to develop and evaluate an affordable, reliable, real-time variable rate smart sprayer, using affordable sensors/cameras and controllers for spot-specific application of agrochemicals in the wild blueberry cropping system. The main objective of this project is to evaluate the performance of the developed smart sprayer for spot-applications of agrochemicals in wild blueberry fields. The intern working on the smart sprayer will evaluate the smart sprayer in commercial fields to determine the effectiveness of the developed smart sprayer. The intern will also compare the current spraying methods with precision techniques available. Also, a complete economic analysis of the smart sprayer system for wild blueberry field application will be completed using collected field data. Slacks farms currently own 400 acres of their own land under production. The farm also does custom work on the land of other blueberry farmers to assist with their production. Slack Farms understands that research is of the utmost importance in the agricultural sector in order to sustain a viable operation in the 21st century. This research project being proposed will allow increased crop productivity, profit margins, competitiveness, and the sustainability of the wild blueberry industry in NS and across Canada. TO BE CONT’D

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Faculty Supervisor:

Qamar Zaman

Student:

Travis Esau

Partner:

Slack Farms Limited

Discipline:

Engineering

Sector:

Environmental industry

University:

Dalhousie University

Program:

Accelerate

Proof of Concept: Real-Time Integrated Weld Analyzer in Aluminum Spot Welds

Use of aluminum alloys in the automotive industry comes with huge manufacturing challenges such as instability of spot welding processes. To overcome this challenge, frequent selective quality tests are performed in industry usually by destructive means, which are labour intensive and costly due to its nature. Non-destructive testing (NDT) of aluminum spot welds can decrease these costs. This proposed spot welding NDT method will incorporate an ultrasonic probe in the welding electrode, which is fully automated and each spot weld tested at the moment of manufacture. The proposed inspection technique is able to reveal features such as exact moment of melting, amount of liquid metal penetration into each plate, thickness of weld pool and estimation of pool diameter. This research project will demonstrate the capability of the in-line inspection of resistance spot welds in aluminum alloys and develop a database of information relating welding parameters to weld quality.

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Faculty Supervisor:

Roman Maev

Student:

Dmitry Gavrilov

Partner:

Alcoa Canada

Discipline:

Physics / Astronomy

Sector:

Aerospace and defense

University:

University of Windsor

Program:

Accelerate

Enhanced mine safety and productivity in burst prone ground using destress blasting

Destress blasting is a rockburst control technique where highly stressed rock is lightly blasted to reduce stress. This technique is currently used in Canadian mines to reduce stresses around mine production openings. In this research project, the intern will build a numerical model to simulate the destress blasting that will be undertaken at a Canadian nickel mine to extract a highly stressed ore pillar. The aim of the numerical modelling analysis is to determine the stresses in the ore pillar after the destress blasts and then to evaluate the risk of rockbursts and the safety of mining. A numerical modelling back analysis based on measured pillar stress changes will serve to validate the simulation techniques. Development and validation of new constitutive models to simulate destress blasting in a numerical model will help the partner organization predict the effectiveness of future blasts, allowing the partner organization to optimize the design of future the destress blasts, maximizing ore recovery and minimizing ore at risk.

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Faculty Supervisor:

Hani Mitri

Student:

Isaac Vennes

Partner:

Vale Ltd.

Discipline:

Engineering

Sector:

Mining and quarrying

University:

McGill University

Program:

Accelerate

Topology optimization of UAV components

Unmanned aerial vehicles (also known as drones) constitute a sector of the Canadian aerospace industry that is growing very rapidly. Because there is a broad range of applications for drones, there is also a wide variety of drone configurations. This, coupled with the small size of drones, leads to a scarcity of convenient rules-of-thumb and guidelines for the design of drone structures. In addition, because of the small size of drones, small reductions in the mass of a drone structure lead to relatively large proportional increases in drone payload. This project will use a computational optimization technique, topology optimization, to generate efficient structural designs for the drone configuration being constructed by Drone Delivery Canada, the industrial partner for this project.

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Faculty Supervisor:

Craig Steeves

Student:

Bharat Bhaga

Partner:

Drone Delivery Canada

Discipline:

Aerospace studies

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Optical Tracking of Log Rotation with Bulk Motion and Skewing

This project will focus on using cameras to measure the rotation angle of a wood log in a sawmill production line. This work will involve updating a cart to move and rotate a wood log, setting up a camera to see the full path of the wood log, and writing a computer code to find a feature on the log face and track the feature as the log rotates. The set-up will be tested and validated at the partner’s pilot line. Once this project functions properly, it will be used as part of a larger project currently being carried out by the partner. The larger project will use the information about log rotation as part of a CT scanning system that will find internal features such as knots and cracks in logs. This scanning will allow sawmills to plan out how they will cut up a log to have the least waste and lost money possible.

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Faculty Supervisor:

Gary Schajer

Student:

Michael Ilan Rotenberg

Partner:

FPInnovations

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

University of British Columbia

Program:

Accelerate

Locally-Routed Clock Tree Synthesis for FPGAs

Field Programmable Gate Arrays (FPGAs) are integrated circuits that can be programmed after manufacturing. It has applications in a wide variety of fields, from cryptography to machine learning. Computer Aided Design (CAD) tools are used to automate the process of programming FPGAs. Routing is a component of CAD that attempts to find an optimal design of wiring to connect logic blocks on an FPGA. Although it is an old problem, there are many interesting problems to solve and it is an active area of current research. An important problem in circuit design is the distribution of the clock signal to minimize the difference in signal arrival time (skew). In the Altera FPGA, the number of clock signals exceeds the available number of prefabricated wires dedicated for the clock. As a result, clock signals have to use wires meant to route data signals, and this must be incorporated into router design. I will be working on researching and developing novel algorithms in order to integrate clock signals into routing by reducing skew and improving quality of results.

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Faculty Supervisor:

Paul Chow

Student:

Alvin Leung

Partner:

Intel

Discipline:

Computer science

Sector:

Advanced manufacturing

University:

University of Toronto

Program:

Accelerate

Facilitating Discovery of Books Through Proactive User Cues

Search and recommendations drive the majority of sales at KOBO. It is therefore critical to continually improve and tune these algorithms. Our project will explore several questions dealing with integrating information provided by users in order to optimize search and recommendation algorithms: how to integrate user-generated tags in order to enhance search (rather than simply depending on product metadata), how to elicit user preferences when they join the service (when we have no existing data to work with), and how to present reasons for recommendations to users, as well as how to integrate user feedback on these recommendations.

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Faculty Supervisor:

Eugene Fiume

Student:

Sasa Milic

Partner:

Kobo Inc.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Using Text Mining Techniques to Analyze Notes in Financial Statements

Firms meet legally established accounting rules by including notes in financial statements that essentially hide key information in plain sight. That is, they contain information necessary to understand the statements, but due to the volume of notes and arcane language may be uninterpretable by even lawyers. However, these notes may be interpretable by a software application. For example, the notes in the Enron case were found to be decipherable by a human being, but only after substantial effort. Ultimately, we wish to determine where the surface meaning of the financial statements misrepresents the reality of the organization where this can be discovered or at least suggested by the notes. As well, we aim to gather information about what notes are present, consider variations in wording, and support multiple languages. This project will benefit CaseWare by providing the company with new capabilities to analyze notes in financial statements.

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Faculty Supervisor:

Frank Rudzicz

Student:

Abraham Escalante

Partner:

CaseWare International

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Data Driven CRM Optimization for eReading

During the duration of the proposed project, the intern will become a member of the partner organization’s “Big Data” team, participating in all team activities, and completing research-oriented work for the team. The intern will complete research that will explore and improve upon previous methods of intelligently communicating with customers through personalized emails. This may include notifying specific users of new product releases, or of an upcoming sale that may be of interest to them. Using knowledge gained during research, the intern will create a software system for the partner organization that will use customer data to target customers with highly personalized email content.

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Faculty Supervisor:

Eugene Fiume

Student:

Jacob Stolee

Partner:

Kobo Inc.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Predicting Impact of Biological Research Manuscripts

Meta’s Bibliometric Intelligence is a service platform to provide automated and in-depth manuscript assessment to authors and publishers in biological science. This internship project is to develop a new version of Bibliometric Intelligence. The intern will apply state-of-art machine learning and natural language processing skills to improve its performance. Accurate assessment and profiling of manuscript by the new Bibliometric Intelligence will allow researchers and publishers to pre-rank manuscripts efficiently, and to reduce the unnecessary painful submission waiting time. Success of this project will not only bring in business values to the partner organization, but also greatly benefit the research publication eco system.

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Faculty Supervisor:

Eugene Fiume

Student:

Liu Yang

Partner:

Meta Inc

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Development of an historical GIS for the Montreal area using Esri’s ArcGIS software

The year 2017 marks the 375th anniversary of the foundation of the city of Montreal. The Laboratory of Remote Sensing, Department of Geography, Montreal University, and Esri Canada want to take part in the celebrations by offering to the Montreal community an interactive tool illustrating the historical evolution of the city of Montreal. To develop such a tool the establishment of an historical GIS is needed. To build such a GIS many questions have to be studied: How to locate landscape features (buildings, roads, wooded areas, etc.) depicted on old maps using present day cartographic standards? How to project old aerial photos to a present day datum? How to integrate information extracted from these archived documents into a common database preserving reference in time and space? What is the best method to visualize the evolution of the urban environment? The aim of the internship is to explore solutions to these problems by developing a prototype of this system. Skill development in geomatics will be the principal gain for the intern, while for the partner organization this project will enrich his software with applications in a less studied type of GIS.

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Faculty Supervisor:

Francois Cavayas

Student:

Bastien Fontaine

Partner:

Esri Canada

Discipline:

Geography / Geology / Earth science

Sector:

Information and communications technologies

University:

Université de Montréal

Program:

Accelerate

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