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

Optimum Biometric Authentication Scheme Based on Polar Codes

In this project, we consider a biometric authentication scheme as a beneficial and alternative approach for traditional cryptographic authentication systems. Our goal here is to design the component of a biometric authentication scheme, such that the leakage information about the biometric template and  the related secret key to the person who has access to the stored data is minimized. For this purpose, we model this scheme as two communications systems: namely as an XOR channel and a wiretap channel. We use the capacity achieving polar coding scheme to maximize the entropy of the secret generated key and simultaneously minimize the leakage of information about the biometric template and the correspondence generated key. Finally, we aim to analyze the performance of the proposed biometric authentication system and simulate it on an existing iris database. Our performance criteria here will be the False Rejection Rate (FRR) and False Acceptance Rate (FAR) of the biometric authentication system or, equivalently, will be the Receiver-Operating Characteristic (ROC) of the system.  

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Faculty Supervisor:

Dr. Andreas Veneris

Student:

Ghadamali Bagherikaram

Partner:

KMKP Engineering

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Assessing Attitudes of Architects and Builders towards Forest Certification in British Columbia

Forest certification is a voluntary market-based instrument to promote sustainable forest management (SFM). Although, large areas of forests have been certified against different certification schemes in British Columbia, there has been a recent slowdown in the uptake of forest certification due to a number of factors, including a lack of awareness. Architects and builders have a key role in creating or translating demand for certified products due to their position in the value chain for forest products as they are could be both buyers and sellers of certified products. Understanding their attitude towards forest certification is vital for the further development of forest certification and the market for certified products in British Columbia. Thus a survey of architects and builders will be conducted in British Columbia to assess their willingness to adopt forest certification and to identify barriers in adoption of forest certification.

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Faculty Supervisor:

Dr. John L. Innes

Student:

Haris Gilani

Partner:

Coast EcoTimber Inc.

Discipline:

Forestry

Sector:

Forestry

University:

University of British Columbia

Program:

Accelerate

Character n-gram based clustering of noisy documents with interactive supervision

 

Mining aviation safety reports is a critical task in improving safety of civilian aviation. NASA maintains a publicly available database of aviation safety-related incident reports, the Aviation Safety Reporting System (ASRS). It is of great practical interest to provide automated tools that assist aviation safety analysts in identifying and analyzing reports about particular safety aspects, such as turbulence injuries, air traffic management miscommunication, airplane load mismanagement and crew incapacitation. The text in ASRS reports is often noisy, contains adhoc abbreviations, and is grammatically poorly formed. As a result, standard natural language processing techniques, which assume well-formed and grammatically correct narrative text are not applicable to these reports. As the safety aspects of interest are not fixed categories, we are dealing with document clustering, not classification. We will explore the feasibility of character n-grams as text features, as opposed to the commonly used word or term features. We expect character n-grams to be more robust to poorly formed text. While this project will mostly focus on text mining aspects, it will also consider problems at the intersection of text mining, text visualization and human-computer interaction. Clustering will be approached from an interactive perspective, providing access points to the user to provide limited supervision to the clustering algorithm.

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Faculty Supervisor:

Dr. Vlado Keselj, Dr. Evangelos Milios, Dr. Kirstie Hawkey

Student:

Morteza Zihayat Kermani

Partner:

AeroInfo Systems - A Boeing Company

Discipline:

Computer science

Sector:

Aerospace and defense

University:

Dalhousie University

Program:

Accelerate

Reconstructing viewing parameters from images as a tool in airplane assembly

During assembly of an aircraft, technicians working in the interior need to be able to quickly identify parts and access part numbers. Part numbers can be retrieved through 3D geometric models of the aircraft. Navigating large 3D models is challenging and time consuming, and it is nearly impossible on small mobile devices with limited processing power and screen sizes. We will explore the use of techniques from computer vision and heuristic search with the goal of eliminating the need to manually traverse large 3D geometric models or search long parts catalogues. Technicians use digital cameras to take a picture of the area in question. That picture is matched with the 3D model of the aircraft and the viewing parameters (camera location and orientation) are determined. From those, a view of the 3D model that correctly reflects the technician's location and view is generated. Part numbers and associated information can be retrieved easily.

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Faculty Supervisor:

Dr. Dirk Arnold

Student:

Homa Foroughi

Partner:

AeroInfo Systems - A Boeing Company

Discipline:

Computer science

Sector:

Aerospace and defense

University:

Dalhousie University

Program:

Accelerate

Economic Outcomes and Retention Rate of BC Provincial Nominees: Comparisons with Immigrants from Other Classes

This project will analyze and research explanations for differences in economic outcomes and retention rate between immigration classes, with a special focus on the British Columbia Provincial Nominee Programs. The study will emphasize on comparisons between Provincial Nominees and other economic immigrants, between immigrants from different classes with strong human capital characteristics, and between immigrants in British Columbia and other provinces. The data that will be used is the Longitudinal Immigration Database, which links immigrant landing records to tax information. In addition to descriptive analysis, this paper will use regression methods to explore explanations for differences in economic outcomes and assimilation rates. Knowing the factors that contribute to the economic advantage or disadvantage of different classes of immigrants could help the Ministry of Regional Economic and Skills Development design better policies and programs. Such policies or programs would be more efficient in selecting nominees and in helping immigrants’ settlement and advancement within British Columbia.

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Faculty Supervisor:

Dr. Daniel Hiebert

Student:

Haimin Zhang

Partner:

Statistics Canada

Discipline:

Geography / Geology / Earth science

Sector:

Finance, insurance and business

University:

University of British Columbia

Program:

Accelerate

Understanding fundamental processes in Dielectric Barrier Discharge Devices used in air quality improvement.

Air Phaser is a proprietary product produced by Air Phaser Environmental and designed to oxidize and/or reduce air-borne pollutants that need to be transformed to environmentally benign forms. The Air Phaser uses electrical discharges to destroy and break down the VOC’s present in the contaminated air. Although, the technology is effective for many VOC’s, some classes of compounds, specifically aromatic species, are not degraded enough to completely eliminate odor or potential adverse health impacts. We will carefully analyze the products generated by this system as we systematically change operating parameters. This will enable us to develop a better understanding of the chemical processes that occur in Air Phasers’ air cleaning devices. Our study will improve the effectiveness of these devices by optimizing system parameters.

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Faculty Supervisor:

Dr. Rob O'Brien

Student:

Trent Hammer

Partner:

Air Phaser Environmental Ltd.

Discipline:

Chemistry

Sector:

Environmental industry

University:

University of British Columbia Okanagan

Program:

Accelerate

3D Stereoscopic Calibration: Achieving Acceptable Levels of Camera Alignment in Studio and in the Field.

This research project is part of an endeavor exploring how to design, research and prototype technological advances related to S3D calibration processes and tools, including for DIY mobile S3D rigs. This project will benefit the company Rampage Entertainment as well as the Canadian filmmaking and new media production community by enabling the creation of better tools for S3D film-making to improve efficiencies, competitiveness and creativity. The research brings access to world class professionals at Kerner USA. The research intern Sean Arden from Emily Carr University, working under the supervision of Dr. Maria Lantin.

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Faculty Supervisor:

Dr. Maria Lantin

Student:

Sean Arden

Partner:

Intertidal Films Inc.

Discipline:

Visual arts

Sector:

Digital media

University:

Emily Carr University of Art and Design

Program:

Accelerate

Effects of natural gas development on density and reproductive success of grassland birds in south-western Saskatchewan

 

Native grasslands in Saskatchewan provide important breeding habitat for many grassland birds, including species at risk. However, conservation agencies are concerned that the quantity and quality of remaining grasslands in south-western Saskatchewan may currently be threatened by expansion of natural gas development. Agriculture and Agri-Food Canada manages large grassland parcels and seeks to maintain a functioning prairie ecosystem while meeting the needs of the gas industry. My objective is to determine the degree to which natural gas development influences density and reproduction of grassland birds. I will assess how bird density and reproductive success vary with the level of industrial disturbance and distance from w ells, compressor stations, and roads. Nature Saskatchewan w ill benefit from the information collected from the study to inform landowners with grassland birds with the best management practices associated with energy development.

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Faculty Supervisor:

Dr. Mark Brigham

Student:

Carolyn Gaudet

Partner:

Nature Saskatchewan

Discipline:

Biology

Sector:

Fisheries and wildlife

University:

University of Regina

Program:

Accelerate

Effect of Foreign Exchange Rates on the Default Correlation

Default correlation analysis has an important role in asset pricing and credit risk management. Our proposed default model aims to analyze the default correlation for two international companies. In this analysis, we would like to incorporate existing correlation between the stock indices in different countries and study its effect on the default correlation measure. Moreover, there is evidence in the literature of sensitivity of equity index returns to foreign exchange (FX) rates. We believe that the correlation between volatilities of FX rates of local currencies and the volatility in stock exchange returns volatilities will affect the default correlation for two companies in two different countries. We want to design a robust mathematical model, which ultimately quantifies the effect of foreign exchange on the default correlation.

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Faculty Supervisor:

Dr. Huaxiong Huang

Student:

Mirela Cara

Partner:

RBC Financial Group

Discipline:

Mathematics

Sector:

Finance, insurance and business

University:

York University

Program:

Accelerate

A database management for developing an environmental management system for a mining project.

The economic benefits of mining can be offset by potential damages of environmental degradation and contamination if proper mitigation measures are not implemented. Prior to mining activities, there is a need to perform meticulous comprehensive environment risk assessment. The environment risk assessment is a process for organizing and analyzing data, assumptions and uncertainties to evaluate the probability of adverse ecological effects that may occur as a result of exposure to contaminants. Organization, analysis and interpretation of these data are extremely important to determine the potential adverse environmental impacts using integrated modelling framework and suggest mitigation strategies for protecting the environment without jeopardizing economic development. This research will help transforming historical raw data into useable format by designing, creating and implementing a suitable database. This will lead to develop EMS for informed decision-making for Morrison Copper/Gold mining Project. 

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Faculty Supervisor:

Dr. Rehan Sadiq, Dr. Solomon Tesfamariam

Student:

Getnet Dubale Betrie

Partner:

Pacific Booker Minerals (PBM) Inc.

Discipline:

Engineering

Sector:

Mining and quarrying

University:

University of British Columbia Okanagan

Program:

Accelerate

Spatial Plasma Discharge Ignition

 

The Spatial Plasma Discharge Ignition System is used as an ignition module in internal combustion engines (ICE). Its implementation leads to an increase in engine fuel efficiency. The purpose of this 4-month internship is to implement a fuel and air regulating system equipped with electric solenoids and pressure transducers to measure the pressure gradients in a combustion calorimeter. The partner corporation will provide facilities for the intern to conduct experiments although it is up to the intern to construct the apparatuses and conduct the experiments. The partner corporation will benefit from the program by being able to conduct its own subsequent experiments allowing further development of their product. The research results will also support the company’s patent application.

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Faculty Supervisor:

Dr. Ronald Miller

Student:

Nicholas Giordano

Partner:

Sphenic Technologies

Discipline:

Engineering - mechanical

Sector:

Manufacturing

University:

Carleton University

Program:

Accelerate

Real-time embedded sensor and wireless technology for next generation mobile machine control devices

The intern will be working on enabling real-time navigation products for machine control applications. The real-time aspect of the project will help improve guidance and control systems for applications such as autonomous steering of precision agriculture tractors and combines. The intern will work to reduce the latencies of the navigation solution to the guidance actuation system. TPI is working with a machine control customer that will use this technology for autonomous steering control of machinery in North America, Europe and Russia. TPI is currently supplying a solution that has a latency of 1-2 seconds, which is not sufficient for applications that suffer high dynamics, such as turns, bumps or roll undulations. This work would enable a next generation of TPI products for machine control applications that use off-the-shelf components and require low-latency corrections (0.01 seconds) for their navigation control systems.

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Faculty Supervisor:

Dr. Aboelmagd Noureldin

Student:

Zhi Shen

Partner:

Trusted Positioning Inc.

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Queen's University

Program:

Accelerate

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