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

Design of Linear-Phase Mirror-Image Symmetric Filter Banks for Image Compression Coding

The discrete cosine transform (DCT) has widely been used in image and video compression coding. However, the conventional DCT causes severe block artifacts in the compressed image in low-bit-rate coding applications. The block effect is perceived as visible discontinuities cross the block boundaries. Many researchers have proposed other techniques, such as the filter bank approach, to remove or suppress this undesirable feature. In this project with Algolith, a leading image enhancement solutions company, a new method for the design of linear-phase mirror-image symmetric filter banks will be developed based on the modification of conventional DCT. A lattice structure that is robust to quantization error and has a minimal processing delay will be derived for fast implementation of the filter bank. The lattice structure will then be optimized using the semi-definite programming method. The developed linear-phase mirror-image symmetric filter bank in the form of lattice structure will be used for image compression coding to reduce the block artifact and boost the coding gain.

View Full Project Description
Faculty Supervisor:

Dr. Wei-Ping Zhu

Student:

Chao Wu

Partner:

Algolith Inc.

Discipline:

Engineering

Sector:

Information and communications technologies

University:

Concordia University

Program:

Accelerate

Design and Implementation of IEEE 802.16j MMR Networks

Sparkmatrix, a provider of online tools for property managers, has positioned one of its next-generation service provisioning commodities at IEEE 802.16 networks (or Wimax). The company successfully delivered IEEE 802.11 and IEEE 802.16 services to their customers. To improve the service quality and coverage, they considered deploying relays in order to erase any possible black notes and service deficiencies in buildings and offices. This internship project will be their first step in solving this issue and the intern will be working with our software development team to evaluate/assess the deployment of relays.

View Full Project Description
Faculty Supervisor:

Dr. Pin-Han Ho

Student:

Preetha Thulasiraman

Partner:

Sparkmatrix Technologies Inc.

Discipline:

Engineering

Sector:

Information and communications technologies

University:

University of Waterloo

Program:

Accelerate

Computational Models for the Analysis of Aircraft Structures

Viking Aerospace Ltd., a company providing engineering support services for Unmanned Aircraft Systems (UAS), is currently seeking approval of a Supplemental Type Certificate (STC) for the DHC-3 Turboprop conversion kit. This conversion kit has provisions for a nose fuel tank. A separate STC is desired for the addition of this tank. In order to gain approval for the fuel tank STC, compliance must be shown to FAR 23 regulations. Of particular concern are the sections regulating the suitability of the aircraft structure to handle the additional flight loads due to the increased weight of the tank. A previous analysis has been performed on the turboprop conversion kit (without the additional fuel tank) but yielded safety margins too low to permit the addition of the fuel tank. It is suspected that simplifications and assumptions required by the previous analysis were overly conservative and that a more in-depth analysis would yield acceptable margins, even with the addition of the fuel tank. In order to more accurately analyze the complex structure, advanced Finite Element Methods (FEM) will be employed.

View Full Project Description
Faculty Supervisor:

Dr. Afzal Suleman

Student:

Ricardo Paiva

Partner:

Viking Aerospace Ltd.

Discipline:

Engineering

Sector:

Aerospace and defense

University:

University of Victoria

Program:

Accelerate

Assymetric Lossless Compression via Algorithmic Self-organizing Structures

This internship project with Deep Compression Inc. aims to produce a prototype demonstrating a new technique for asymmetric lossless data compression. Unlike conventional compression techniques, this prototype will allow representational information to be recovered using an algorithmic recovery procedure, algorithmic self-organizing structure (ASOS). This new approach could pave the way for previously unprecedented levels of data compression – a potentially revolutionary technology with the likelihood of affecting such diverse sectors as mathematics, life sciences, computing science, geoinformatics, the environment and the entertainment industry.

View Full Project Description
Faculty Supervisor:

Dr. Hugh Williams

Student:

Kjell Wooding

Partner:

Deep Compression Inc.

Discipline:

Engineering

Sector:

Information and communications technologies

University:

University of Calgary

Program:

Accelerate

Application of a Computational Fluid Dynamics and Experimental Approach to Fuel Cell Humidifier Optimization

The operation of a fuel cell to produce electricity requires a number of components outside the fuel cell stack itself. One key component is the humidifier. Proper operation of a Proton Exchange Membrane fuel cell requires a certain humidity level to be maintained in the membrane(s) present in the stack; the humidifier fulfills this requirement by transferring moisture from the exhaust gas stream to the inbound fuel, as well as increasing efficiency by preheating the fuel with waste heat in the exhaust. DPoint Technologies, a Vancouver-based company, produces a line of compact humidifiers for various fuel cell systems. Pressure lost by the fuel stream inside these humidifiers limits their efficiency. This project aims to effect a redesign of the humidifier layout through testing with Computational Fluid Dynamics (CFD) software, which approximates the conditions within the cell. This testing will also look to optimize the humidifier layout for other constraints, such as overall size. This is to be followed by the design, manufacture, and testing of a redesigned humidifier prototype. The end result, a more efficient humidifier of at least an equal effectiveness of the original design, will result in more efficient overall production of energy by fuel cell systems.

View Full Project Description
Faculty Supervisor:

Dr. Edward McCarthy

Student:

Edward McCarthy

Partner:

DPoint Technologies Inc.

Discipline:

Environmental sciences

Sector:

Alternative energy

University:

University of British Columbia

Program:

Accelerate

Simulation and Mathematical Modeling of Unsupported Pt Nanoparticles for Fuel Cell Electrocatalysis

Polymer Electrolyte Fuel Cells (PEFC) are under intense research as highly efficient and clean power sources for transportation and portable applications. The Cathode Catalyst Layer (CCL) of PEFC, usually formed by carbon supported Pt-based catalyst, is considered as the most critical component. It involves all processes relevant to fuel cell operation. Cost and abundance of Pt is the major challenge for the commercialization of PEFC technology. Recent results in experiment and modeling indicate that catalyst activity and utilization could be improved by substantial factors. The fundamental understanding of supported catalyst systems is required to establish links between fabrication, structure formation, performance, and degradation that could lever such improvements. In order to gain insight into structural effects of the catalyst-substrate system, this project employs the Density Function Theory (DFT) as well as the relatively new variant of Orbital-Free DFT. We will relate particle size and surface morphology to electronic structure effects and interactions of supported catalyst systems. The result will contribute to physical models for structure formation, electrokinetic performance, and structural degradation in CCL of PEFC.

View Full Project Description
Faculty Supervisor:

Dr. Michael Eikerling

Student:

Liya Wang

Partner:

NRC - Institute for Fuel Cell Innovation

Discipline:

Chemistry

Sector:

Fuel cells

University:

Simon Fraser University

Program:

Accelerate

Multivariate Analysis for Manufacturing Excursion Detection with Complex Equipment Containing Sub-Systems

Triant Technologies provides the ModelWare Fault Detection software product to monitor sensor data collected from advanced manufacturing tools such as those used for semiconductor and flat panel display manufacturing. ModelWare Fault Detection software performs a range of analyses, including online, multivariate data analysis using a proprietary algorithm and implementation. The goal for this project is to improve the performance of the multivariate analysis methods when used with complex manufacturing equipment. Specifically, the targeted challenge is to improve analysis performance where a manufacturing unit contains multiple independent internal sub-systems.

View Full Project Description
Faculty Supervisor:

Dr. Derek Bingham

Student:

Ryan Lekivetz

Partner:

Triant Technologies (2005) Inc.

Discipline:

Statistics / Actuarial sciences

Sector:

Information and communications technologies

University:

Simon Fraser University

Program:

Accelerate

Modelling Home and Community Care

The overall project goal is to develop a model of the Home and Community Care System that can aid in predicting future loads on the system and explore how policy changes might impact it.

View Full Project Description
Faculty Supervisor:

Dr. Peter Borwein

Student:

Warren Hare

Partner:

BC Ministry of Health

Discipline:

Mathematics

Sector:

Life sciences

University:

Simon Fraser University

Program:

Accelerate

Laser Camera Data Processing Algorithms

This project involves the modelling and implementation of algorithms using data collected with a laser triangulation camera. This camera is used to produce highly precise three-dimensional measurements inside rooms. It is activated manually or through a mechanical arm and takes measurements along three orthogonal axes.

View Full Project Description
Faculty Supervisor:

Dr. Dominique Orbran

Student:

Dominique Brunet

Partner:

Théus Technologies Inc.

Discipline:

Engineering

Sector:

Information and communications technologies

University:

Polytechnique Montréal

Program:

Accelerate

Evaluating Harvest Management Procedures for Spatially-structured Fish Populations

Many fish populations have spatial structure which is not explicitly recognized in assessment or management. For example, Pacific herring are managed as five discrete stocks in BC, but there is evidence of both regional and within-stock diversity that may determine the capacity of the five large stocks to sustain themselves over time. This spatial structure is maintained by movement of fish among and between sub-populations within the greater, coast-wide metapopulation. However, the degree of movement between the populations is highly uncertain and is not incorporated into the current management approach. This, the goal of this project is to develop a tool that will be used to evaluate the existing management protocols and to improve the economic and conservation performance of the herring fishery management system.

View Full Project Description
Faculty Supervisor:

Dr. Sean Cox

Student:

Ashleen Benson

Partner:

Fisheries and Oceans Canada

Discipline:

Resources and environmental management

Sector:

Fisheries and wildlife

University:

Simon Fraser University

Program:

Accelerate

Developing an STI Awareness Model for Youth in Northeastern BC

Recently completed research has demonstrated concerns related to the control of sexually transmitted infections (STIs) among young people in Northeastern BC’s ‘booming’ oil/gas communities. The Northern Health Authority (NHA) and OPTions for Sexual Health (OPT) are new partners in the provision of sexual health services in Northeastern communities. A recent syphilis outbreak has provided the impetus for the NHA and OPT to consider how to develop an awareness campaign to promote STI testing and prevention among young people. As well, oil/gas companies employing Northeastern youth represent an opportunity to broaden the scope of an awareness campaign by reaching out to young workers. In collaboration with the NHA and OPT, a locally tailored STI awareness model that engages young people, health care providers, and oil/gas industry to promote STI testing and prevention in Northeastern BC. Comprehensive ‘action plans’ and ‘industry profiles’ will be produced in collaboration with the NHA/OPT to reflect practical directions for action.

View Full Project Description
Faculty Supervisor:

Dr. Jean Shoveller

Student:

Shira Goldenberg

Partner:

Northern Health Authority Preventative Public Health

Discipline:

Epidemiology / Public health and policy

Sector:

Life sciences

University:

University of British Columbia

Program:

Accelerate

Developing Algorithms for a Multi-camera System to Locate People Within a Store

This internship project aims at creating a system prototype using several surveillance cameras in order to measure customer traffic inside stores. At the moment, most counting methods use sensors that do not differentiate between repeat visits by the same individual and single visits by different individuals. Moreover, these methods cannot always distinguish between potential customers and store employees or security personnel, thus reducing the quality of the counting measurements. The use of cameras should rectify these problems while providing with increased precision the localization of customers within the point of sale so that their shopping behaviour can be analyzed by indexing all the areas they visited and the time they spent in each store section or aisle. With the use of multiple cameras, the precise position of customers can be obtained while insuring all sections of the store can be viewed even in the presence of various obstructions such as store furniture or other objects. This research will draw on mathematical methods from the fields of computer vision and video surveillance.

View Full Project Description
Faculty Supervisor:

Dr. Jean Meunier

Student:

Édouard Auvinet

Partner:

Axper Inc.

Discipline:

Engineering

Sector:

Information and communications technologies

University:

Université de Montréal

Program:

Accelerate

Previous
1…430431432433434435436…1,106
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe