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

Applications of Neural Network Curve Fitting Methods for Least-squares Monte Carlo Simulations in Financial Risk Management

Monte Carlo simulation methods are commonly used as a risk management tool to estimate the risk exposure of financial asset portfolios. However, the traditional brute-force Monte Carlo (BFMC) method is often very timeconsuming, which makes it difficult to serve the risk management needs of modern insurance industry. An alternative approach, the least-squares Monte Carlo (LSMC) method, could substantially reduce the computation cost by fitting a proxy function of liabilities using simple nonlinear regression methods. However, the LSMC does not work well in capturing the true risk properties of hedged assets and some other variable annuities. To improve the LSMC method, we propose to use neural network method during the curve fitting process. Since the neural network method allows more curve-fitting flexibility, the proxy functions of liabilities and Greeks are expected to be improved. By using the improved proxy functions to predict the liabilities and Greeks, the risk exposure of financial portfolios can be more properly quantified.

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Faculty Supervisor:

Longhai Li

Student:

Partner:

Aon Securities Inc.

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

University of Saskatchewan

Program:

Accelerate

Monitoring the genetic health and structure of Grizzly bear populations in British Columbia to inform ecotourism and resource management

Grizzly bears represent a valuable economic, ecological, cultural and symbolic resource for British Columbia. In order to preserve this resource the current population of brown bears needs to be monitored to ensure the health of the population. One marker of health is the genetic health of the population. Genetic monitoring can also tell us important information about how related different bear populations are and how well these populations are adapted to their ecosystem. This study will use genetic markers to look at this population structure and adaptation of bears across the unique and varied landscape of British Columbia. We will additionally use genetic markers to investigate a recent island colonization by brown bears outside of all current bear population units. This information is crucial to the conservation initiatives of our partner Raincoast International and its Ecotourism partners.

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Faculty Supervisor:

Chris Darimont

Student:

Partner:

Raincoast Conservation Foundation

Discipline:

Earth science

Sector:

Other services (except public administration); Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Broadband Internet Policy and Farmers’ Collective Agency in Vietnam

Vietnam approved the national rural information and communication plan in 2011 that includes the building of a 420 million CAD broadband network infrastructure intended to link all smallest administrative units by 2015. However, the country has not achieved this goal yet. Vietnam has experienced countless failures in rolling out Information Communication Technology systems mainly because of a top-down diffusion approach which sees users as passive recipients. To
avoid those common pitfalls, the project – a part of my dissertation – views that farmers are active agents whose collective agency has a say in shaping the Internet policy that works and responds to their needs; erases undemocratic practices; and expands their political, economic, social, and personal freedoms. In this project, I plan to gather broadband Internet development information and travel across the country to select representative villages for public consultations about the technology policy when broadband Internet is still in the making and has not got entrenched.

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Faculty Supervisor:

Maria Bakardjieva

Student:

Partner:

Vietnam National University

Discipline:

Sociology

Sector:

Education

University:

University of Calgary

Program:

Globalink Research Award

Measurement and Analysis of Ultrasonic Sensors

Ultrasound technology is widely used in medical diagnosis area. Its non-invasive, high resolution, no side effects and other features make it popular. The ultrasound sensor is the critical component and its performance decides the signal quality. A good sensor can stand the environment noise and supply high signal noise ratio (SNR) signal to the processors in order to get high quality images. In this project, sensors from different manufactures with different characteristics should be measured by a custom designed test environment to collect the data and analyze the specification to determine the qualified candidates. Only sensors which satisfy the requirements can be used in the UPNS to reach the designed performance.

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Faculty Supervisor:

Adrian Chan

Student:

Partner:

iNano Medical Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

Conception d’un algorithme pour déterminer en temps réel l’affectation d’une flotte de taxis

L’objectif du projet est de concevoir un algorithme pour repositionner dynamiquement la flotte de taxis électriques de Taxelco. L’algorithme prend la forme d’un problème d’optimisation qui vise à minimiser le temps d’attente des clients. Pour ce faire, le modèle considère la demande prévue, l’autonomie limitée des véhicules, la circulation, la position des centres de maintenance et des bornes de recharges. Au final, il donne des indications quant à l’affectation d’un taxi à un client et à l’ordre de rabattre un taxi. Pour vérifier si l’algorithme permet d’atteindre les objectifs, un simulateur de données devra également être conçu. Une fois le prototype approuvé, ce dernier sera implémenté dans l’infrastructure informatique de l’entreprise. Selon nos recherches, un algorithme pour l’affectation de taxis avec ce niveau de complexité n’existe pas dans la littérature.

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Faculty Supervisor:

Jean-Francois Cordeau

Student:

Partner:

Taxelco

Discipline:

Mathematics

Sector:

Transportation and warehousing

University:

HEC Montréal

Program:

Accelerate

Capacity Building to Bolster Well-Being Among Early Childhood Educators and the Children they Support in Alberta

Well-being problems (e.g., burnout, depression, and efficacy) have been a long standing issue among educators in Early Learning and Care (ELC) settings. This issue not only impacts the health status and work performance among educators, and by association influences the social and emotional development of children. To address this problem, a coaching model has been adopted by Getting Ready for Inclusion Today (GRIT) to support educators in social and emotional teaching to children. The present research aims to examine whether coaching supports can 1) prevent burnout, depression and maintain a healthy work environment among early childhood educators; 2) improve the outcomes among the targeted children.

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Faculty Supervisor:

Veronica Smith

Student:

Partner:

Getting Ready for Inclusion Today

Discipline:

Sociology

Sector:

Education

University:

University of Alberta

Program:

Accelerate

Game private networks and game server performance emulation and evaluation

This infrastructure will allow new servers to be automatically deployed and configured for use as private game servers, while also monitoring their performance and usage statistics. By using the novel predictive models, which are to be developed in this proposed project, new virtual servers will be automatically created and added when the traffic levels require more resources to maintain optimal performance. The goal of these network tests is to identify the point at which the network software can no longer keep up to the flow of traffic. The tests will also serve to identify the capacity of the game servers and their host virtual machines in terms of the number of players that they can support. This knowledge and associated experimental functionality exists nowhere else in the industry and will provide WTFast with deeper knowledge and industrial innovation in the game networking area.

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Faculty Supervisor:

Julian Cheng;Youry Khmelevsky

Student:

Partner:

WTFast

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of British Columbia - Okanagan

Program:

Accelerate

Flexible Redesign of Bucket for Hard Rock Mining

This four months internship project is to help Bristol Machine to flexible redesign a mechanical linked bucket for hard rock mining application with less time, money, failure, resource, materials cost and increase product quality, flexibility, productivity, and performance for various worldwide customers’ needs in mining industry. The proposed method will be computer-aid design, engineering, FEA simulation, digital prototyping, and manufacturing. It will definitely help the company quickly explore and evaluate different design variations, and alternatives to determine the best design. Also, the whole product design and development process will be efficient and allows for 3D sectional views. In addition, the product can be easily designed to meet design requirements, since the FEA simulation will help engineers to identify risk, errors, and failures at early the product design stage and maximize product quality to high standards. Finally, the bucket can be manufactured based on the flexible model.

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Faculty Supervisor:

Robert Fleisig

Student:

Partner:

Discipline:

Engineering

Sector:

Manufacturing

University:

McMaster University

Program:

Accelerate

Coopératives forestières et durabilité, un état des lieux

À l’occasion du Sommet international des coopératives 2016, des coopératives forestières provenant de divers pays participeront à une rencontre sectorielle ayant pour thème « Pour vivre de nos forêts de façon durable ». Elles seront invitées à réfléchir sur la valeur ajoutée et les défis du modèle forestier coopératif et à échanger sur les possibilités de collaboration et de partenariat. Ces coopératives évoluent dans les secteurs de la foresterie communautaire et de la foresterie industrielle. Leurs modèles organisationnels et leurs pratiques sont donc différents, mais les défis auxquels elles font face se rejoignent et offrent des opportunités d’action à considérer. Ainsi, notre recherche vise à répertorier les principaux enjeux sociaux, économiques et environnementaux auxquels sont confrontées ces coopératives et les pratiques de gestion et de gouvernance durables mises en place pour y répondre. Pour ce faire, nous analyserons l’ensemble des publications scientifiques et professionnelles des 10 dernières années s’intéressant à la foresterie coopérative et soulignerons les bonnes pratiques et les points de convergence susceptibles de faciliter les collaborations entre ces coopératives et avec les acteurs intéressés.

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Faculty Supervisor:

Claude-André Guillotte

Student:

Partner:

Sommet international du coopératisme

Discipline:

Business

Sector:

Other services (except public administration)

University:

Université de Sherbrooke

Program:

Accelerate

Communication assisted hybrid overcurrent-transient directional protection scheme for active distribution networks

With worldwide efforts to increase the utilization of renewable energy, traditional power distribution networks are being transformed into active distribution networks with the interconnection of distributed generation. The status of DGs connected to an active distribution network can change frequently, and this creates many challenges to network protection. The aim of this project is to implement a new protection solution for active distribution systems and microgrids in hardware and validate its performance. The proposed protection strategy combines the traditional overcurrent protection with a transient based unit protection technique to provide feeder and bus protection. An experimental setup will be developed around a real time simulator to perform hardware-in-theloop simulations, with the communications required for the protection scheme implemented using IEC 61850 generic object oriented substation event (GOOSE) messaging. This type of hardware based verification is a necessary step to bring this novel protection technology closer to the application in real world.

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Faculty Supervisor:

Athula Rajapakse

Student:

Partner:

ERLPhase Power Technologies

Discipline:

Engineering

Sector:

Energy and Utilities; Green/Alternative Energy; Technology

University:

University of Manitoba

Program:

Accelerate

How to improve eddy covariance data quality, model validation and user experience through the integration of soil gas flux measurements using Eosense’s eosFD chamber

Reliable measurements of carbon cycling are challenging. Eddy covariance is the technique used by a global network of researchers that measures the net fluxes of gas to and from an ecosystem. However, there are issues with gaps in data under certain environmental conditions. Eosense’s eosFD forced diffusion chamber technology allows for long-term, remote and off-grid deployments to measure soil respiration with low power consumption. The eosFD in its current form provides the data necessary for eddy covariance users to apply it to their data analysis and quality control needs, but there could be modifications and peripherals that can be added to the eosFD that would enhance the eddy covariance user experience. he goal of this project is to identify those challenges and barriers of eddy covariance users in adopting the eosFD chamber, and to test the technology in a field setting with an established researcher in the eddy covariance community. Following this, recommendations can be made for the design of field-ready kits and results will be published in a format for researchers to assess the suitability and advantages of integrating this soil gas flux into the suite of measurements at eddy covariance sites.

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Faculty Supervisor:

Lisa Kellman

Student:

Partner:

Eosense

Discipline:

Physics

Sector:

Manufacturing; Professional, scientific and technical services

University:

St. Francis Xavier University

Program:

Accelerate

Evaluation of environmental and economic impacts of implementing a widespread residential heat-pump installation program in NS

Nova Scotia Power Inc. provides programing for customers seeking to procure and install heat pumps at their homes. By enabling the installation of a high-efficiency heating solution, heat pumps help customers lower their heating bills. There are also many potential benefits for the Province of Nova Scotia, including potential to reduce household greenhouse gas emissions, economic benefits for Nova Scotians, and associated health and environmental benefits from offsetting less efficient heating methods. With this in mind, we are conducting this research project to evaluate and communicate these potential benefits and identify ways for public policy to support heat pump adoption for Nova Scotians seeking heating solutions.

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Faculty Supervisor:

Michelle Adams

Student:

Partner:

Nova Scotia Power

Discipline:

Earth science

Sector:

Utilities

University:

Dalhousie University

Program:

Accelerate

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