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

Monitoring power system small-signal rotor angle stability under ambient operating conditions

An electrical power system is designed to provide safe and reliable supply to customers. However well designed the system, disturbances are unavoidable during the operation and the system should be able to continue secure operation. In fact, if it can be early determined that the system is moving towards an unsecure region, the operators can take necessary safety actions to keep the system secure. Thus, the main goal of this study is to develop novel techniques to monitor the stability of an electrical power system in real time. A power system can be in an unsecure condition due to different forms of instabilities. The main focus of this study is the instability of the generator rotor angles subsequent to small magnitude disturbances where the instability is due to the poor decaying rate (damping) of generator rotor angle oscillations. This study develops novel algorithms to real time monitor the damping of such oscillations where the value provides an indication on whether the system is stable or not as well as if it is stable then how much it is close to instability.

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Faculty Supervisor:

Dr. Udaya Annakkage

Student:

Darshana Wadduwage

Partner:

ERL Phase Power Technologies

Discipline:

Engineering - computer / electrical

Sector:

Energy

University:

University of Manitoba

Program:

Accelerate

New Analytical Approaches to Social Media Data

In general, market research agencies use surveys and social media analytics as different ways to explain customer behaviour. Vision Critical, a Vancouver software and market research firm, is currently testing how the two can be combined to generate new findings. While the company intends to offer this approach as a service, various important questions to be answered beforehand: for example, how can panelists’ activities on social media correlate with their responses to survey questions? Which factors or benefits motivate respondents to take part in social media integration studies? Analyzing results of past and upcoming pilot projects in SPSS, this project will address these points so that Vision Critical can extend its range of services with this new offering and effectively compete with other large agencies that offer similar social media features. The findings will be published in white papers and also documented in a project report for the Master of Publishing program at SFU.

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Faculty Supervisor:

Dr. John Maxwell

Student:

Tilman Queitsch

Partner:

Vision Critical

Discipline:

Journalism / Media studies and communication

Sector:

Information and communications technologies

University:

Simon Fraser University

Program:

Accelerate

Developing a physically-based, geomorphic model to evaluate the probability of pipeline exposure at stream crossings

There are currently tens of thousands of locations throughout North America where pipelines cross stream channels. At these locations, instability of the stream bed and banks poses a serious risk to pipeline infrastructure, and has the potential to cause environmental harm. The objective of this internship is to improve the numerical models used to monitor the risk of channel instability associated with a range of flood magnitudes; currently the models don’t quantify the likelihood of the channel bed becoming mobile, and fail to consider the reach-scale processes of channel stability in a mechanistic manner. The model will be driven with data already collected at thousands of site surveys, and used as a screening tool to determine which sites are most vulnerable to pipe exposure, and therefore require more detailed field assessment. Based on the input variables required in the model, we will also develop a standardized field protocol to improve and focus data collection at future site assessments.

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Faculty Supervisor:

Dr. Brett Eaton

Student:

Sarah Davidson

Partner:

BGC Engineering

Discipline:

Geography / Geology / Earth science

Sector:

Construction and infrastructure

University:

University of British Columbia

Program:

Accelerate

Metagenomic study of dechlorinating microbial communities in vitro and in situ

The project is focused on study of commercial microbial cultures for biological remediation of soils and ground waters contaminated by chlorinated organic. The successful elaboration and improvement of the products requires analysis on molecular-genetic level and developing of specific techniques (16S pyrotag pipeline) for microbial communities profiling and metabolic reconstruction. The work benefits to industry partner by providing comprehensive information on functional and taxonomic structure of the studied microbial communities. Implementation of semi-automatic procedure for tracking of the microbial communities structure is crucial for efficient managing of the bioremediation and provides SiREM lab a new ready-to-use service which significantly improve technical support of clients.

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Faculty Supervisor:

Dr. Elizabeth Edwards

Student:

Kirill Krivushin

Partner:

SiREM

Discipline:

Engineering - chemical / biological

Sector:

Environmental industry

University:

University of Toronto

Program:

Accelerate

Sustainability and the Wine Industry in the Okanagan valley of BC

The study focuses on sustainable practices employed by wineries and wine growers in the Okanagan valley of BC. The focus of this internship will be to understand fully how one winery – Quails Gate winery in West Kelowna- carries out sustainable practices at various stages of its production, distribution and the marketing of its products. The expected benefit for the organization is to receive an audit of the various processes it uses, the pros and cons of such processes, and some insight into where improvements can be made.

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Faculty Supervisor:

Dr. Annamma Joy

Student:

Camilo Pena

Partner:

Quails' Gate Winery

Discipline:

Business

Sector:

Consumer goods

University:

University of British Columbia Okanagan

Program:

Accelerate

Embedded Philosophy in Near-Living Architecture

The intern will investigate the architectural potential and philosophical merit of Near-Living Architecture, a design that allows environments to be aware and empathetic to their occupants. To do this, the intern will edit and contribute to the upcoming Near-Living Architecture Monograph, a written work describing the vision, execution and future applications of research conducted by PBAI. Furthermore, the intern will lead independent research on the topic of emergence, which reveals itself in this work, to create scholarly contributions to the field. Attempts to understand the phenomena have never been approached using an architectural installation as grounds to model the phenomena. Ultimately, the partner organization will benefit from having an intern highly qualified in science communication and philosophy to produce material on their behalf that otherwise could not be properly contextualized. This mutually beneficial partnership marks a rare collaboration between the humanities and applied sciences with potential to create paradigmatic knowledge.

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Faculty Supervisor:

Dr. Rob Gorbet

Student:

Teresa Branch-Smith

Partner:

Philip Beesley Architect Inc.

Discipline:

Architecture and design

Sector:

Construction and infrastructure

University:

University of Waterloo

Program:

Accelerate

Optimization of the Design of Coke Drum Support Structure

Delayed coking is an integral process in upgrading heavy, unusable crude oil to lighter, usable products such as gasoline. Coke drums are insulated, vertically oriented cylindrical pressure vessels that facilitate such a process. Due to the process of delayed coking, these drums are subjected to cyclic thermal-mechanical loading and episodes of thermal shock. One of the potential areas of failure is the shell-to-skirt junction. A skirt assembly is used to support the vessel while allowing for the drum to transition from cylindrical to conical in geometry at the bottom of the coke drum. It also allows the drum to be supported on a raised platform in order to easily remove the petroleum coke. Recently, several designs have been drafted in an effort to mitigate failures at the shell-to-skit junction. The objective of the research project will be to evaluate these designs for their reliability and then to optimize the most effective skirt assembly design. The partner organizations will then be able to implement the results of this project into their new skirt designs and maintenance of existing skirt structures in order to make them more reliable in the future.

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Faculty Supervisor:

Dr. Zihui Xia

Student:

Edward Wang

Partner:

Husky Energy Ltd.

Discipline:

Engineering - mechanical

Sector:

Energy

University:

University of Alberta

Program:

Accelerate

Optimization of test protocols to investigate material influences on the fuel cell performance caused by material handling

In Early 2013, an NSERC Engage grant and a Coop term project enabled collaboration between Mercedes-Benz Canada Inc. Fuel Cell Division (MBFC) and Dr. Merida’s group at the University of British Columbia (UBC). A test-bench apparatus for the evaluation of fuel cell material properties during manufacturing processes was designed. The present proposal builds on the previous activities and aims to make the test-bench apparatus available for material pre-qualification. MBFC will benefit from participating in this collaboration by obtaining a functional and validate test-bench for the assessment of the current and future materials, and a developed test procedure to generate material specifications and to assure material quality during a large scale production. Furthermore, this procedure will be a base-line-test-procedure with high functional relevance for material suppliers. The outcome of these tests will speed up the material development process and the comparability of the development stages. The activities described in this proposal are of critical important and represent the first step towards the preparation of a Patent and a Standard test method for Fuel Cell Industry.

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Faculty Supervisor:

Dr. Walter Merida

Student:

Maximilian Schwager

Partner:

Mercedes-Benz Canada

Discipline:

Engineering - mechanical

Sector:

Automotive and transportation

University:

University of British Columbia

Program:

Accelerate

Selective Compression of Live Digital Video Frames for Power-friendly Wireless Transmission and Efficient Reconstruction

The project is aimed at implementing real-time processing techniques for video acquisition, compression and transmission. The project focuses on defining solutions in order to solve constraints within the system related to bandwidth and the battery energy of the sensor. Depending on the application, the acquisition and compression procedures could be based on extracting significant features and compressing them in a lossless fashion followed by data transmission over a wireless channel. The real-time transmission of data within the available bandwidth would be implemented so as to maximize the battery life while transmitting enough bits over the channel for an accurate image reconstruction. Specially tailored schemes for image recovery would be investigated such that the reconstructed image at the server and those streamed to the authorized end users would meet a certain high level quality. Furthermore, the algorithm would be automated to make it more adaptable under various conditions. These processes are relevant to the development of real-time machine vision sensor devices which have goals of energy conservation and ease of technological use.

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Faculty Supervisor:

Dr. Rabab Ward

Student:

Hiba Shahid

Partner:

NZ Technologies Inc.

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of British Columbia

Program:

Accelerate

OceanView Current Enhancements

Northern Radar Inc. (NRI) is working to expand its capability in ocean remote sensing of surface currents, surface winds and sea state, and is partnered with Memorial University to develop advanced HF radar algorithms The objectives of this work include a full analysis of NRI’s existing intellectual property, adapting and integrating the algorithms into new applications, to describe the inherent errors in the HFSWR surface current measurement, and verify and validate the adapted algorithms using data from upcoming field trials. The intern’s background has been primarily theoretical work in the university environment, and the proposed experience will be invaluable to the intern’s career development in the realm of radar remote sensing.

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Faculty Supervisor:

Dr. Eric Gill

Student:

Wei Wang

Partner:

Northern Radar

Discipline:

Engineering

Sector:

Information and communications technologies

University:

Memorial University of Newfoundland

Program:

Accelerate

Asset Management: Modeling and User Experience

Facing looming infrastructure crises, municipalities around the world are implementing asset management policies to maximize level of service to residents through optimized scheduling of maintenance, rehabilitation, and replacement of assets. Scheduling optimization problems have been studied extensively in computer science and it is believed that an exact solution to such a problem would take an impractical amount of time to compute. However, several methods for finding approximate solutions have been proposed. This project will involve researching the needs of municipal asset managers, modeling infrastructure planning as an optimized scheduling problem, researching and prototyping modern algorithms for finding approximately optimal solutions to theproblem, and developing software prototypes to facilitate user interaction with the model. The industrial partner, Riva Modeling Inc., will benefit from this research as it will give their clients an interface to sophisticated optimization algorithms that will help preserve and extend the life of longterm infrastructure assets.

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Faculty Supervisor:

Dr. Eugene Fiume

Student:

Kiran Sachdev

Partner:

Riva Modeling Systems

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Design and Development of a Secure Online Platform for Real-Estate Transactions

ExactDeposit is an online tool that enables real-estate buyers to pay deposits on real-estate transactions electronically via credit or debit card. In addition to facilitating the deposit transaction, it will allow real-estate brokers and agents to log in and view transaction statistics both in real-time and historically. The tool will provide a user-friendly online form to accept agent and buyer input from any devices (laptops/desktops/tablets/smartphones). After being processed by the ExactDeposit server, credit card and destination brokerage information will be sent to a 3rd party gateway for final payment processing. The developed system will utilize the functionality of the 3rd party gateway by making specific API calls. Once the transaction is over, a response will be sent to the ExactDeposit server for post transaction processing. Email notifications of a completed transaction will be dispatched to all stakeholders from the ExactDeposit system. The database within ExactDeposit will store transaction ID, and state of the transaction, including information related to client mapping to the brokerage and vice-versa. This system will give the real-estate buyer – a secure, yet simple and flexible means of sending deposit funds and give participating brokerages the ability access transaction statistics.

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Faculty Supervisor:

Dr. Srinivas Sampalli

Student:

Saurabh Dey & Deepika Agarwal

Partner:

Exact Deposit Inc.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Dalhousie University

Program:

Accelerate

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