Best Practices in Business Education

This project will focus on experiential education and how it can be used to enhance the learning processes at Blyth Education. As an introduction to the subject, the report will explore current literature surrounding the topics of ‘Experiential Education’ and ‘Business Education’. The project will then turn its focus to Blyth Education, and identify the […]

Read More
Determining the Socio-demographic and Environmental Risk Factors for Intentional Injury

This aim of this project is to determine the social characteristics of neighbourhoods and elements of the urban environment that may be associated with increased rates of intentional injury (injuries resulting from violence and self-harm). Conducting comprehensive area-based assessments of intentional injury is difficult in Vancouver because of restrictions on reporting sensitive health information. To […]

Read More
Development of an Ultra High-performance Concrete

The overall objective of the proposed project is to develop an innovative ultra-high performanceconcrete (UHPC) material that would provide a unique combination of ductility, strength, durability, and aesthetic flexibility at a competitive cost using local materials. Besides their very high strength, theUHPC materials are known to be air and water-tight, thereby resulting in reduced environmental […]

Read More
Development of Framework to Assess Fire Risk

The intern will assist in developing a component of a probability and statistical risk based methodology for completing quantitative risk assessments of building designs and a corresponding probabilistic failure based methodology on fire causation and spread. Data collected by Sereca Fire will be applied to construct more specific models, which can predict the frequency of […]

Read More
GPU-oriented Structural Variation Detection in Human Genomes

Fast structural variation (deletion, insertion and inversion) detection between genome of different individuals is the main goal of this project. The internship team is planning in extending new algorithms to reduce the number of false positive calls (especially for deletions) and to parallelize it using Graphics Processing Unit (GPU). The standard approach implementation of the […]

Read More
Market Analysis and Growth Strategy for Location-based Content

This project will attempt to validate the presence of a market for location-based user generated content that users would experience with a GPS equipped smartphone. The target markets' demographics and psychographics will be identified in order to find the most appropriate ways to address the market. A marketing plan will detail the methods for connecting […]

Read More
Modelling Population Dynamics of the Itcha-Ilgachuz Caribou Herd

This project will use computer modeling techniques to examine the population dynamics of the Itcha-Ilgachuz caribou herd in west central British Columbia. This large herd is a potential source, from which caribou could be transplanted to small endangered mountain caribou herds in Southern BC to help boost their numbers. Previously acquired data on the Itcha-Ilgachuz […]

Read More
Parallel Multivariate Polynomial Multiplication and Division

In this internship, the team proposes to develop high performance sequential and parallel algorithms for multiplication and division of multivariate polynomials. They propose to use a recursive data structure. One of the possible advantages of a recursive data structure is that we can also see how to parallelize polynomial division. Potentially high level algorithms such […]

Read More
Spine Motion Tracking: 3-D Spinal Motion Analysis Using Intertial/magnetic Sensors to Investigate Effects of Low-back Pain on Movements

The purpose of the proposed research is to measure and analyze the 3-D spinal movements using inertial/magnetic sensing, and to study the effects of low-back pain on spinal movements. This research will perform (i) feasibility test of using inertial/magnetic sensors in measuring spinal motion in a noninvasive and portable approach, (ii) application of inertial/magnetic sensors […]

Read More
Understanding and Mitigating Botnet Threats

A botnet is a generic term used to describe a network of machines infected and controlled remotely without their rightful owners' knowledge. The current generation of bots (i.e. Storm Botnet) leverages fairly complex command and control (C&C) systems using existing Peer-to-Peer (P2P) overlay network structures. Thus, chasing down botnet C&C structures has become a futile […]

Read More
Application of a “Knowledge to Action” Approach with Two BC Health Authorities in a Study to Design Psychometric Instrument of Collaborative Team Culture

This internship augments a post-doctoral study to design psychometric instrumentation for measurement and evaluation of collaborative team culture. The study builds upon a dissertation inquiry carried out by the applicant, in which a collaborative health care culture framework was developed. There are insufficient evaluation tools to measure collaborative team culture and this study addresses this […]

Read More
Structural Health Monitorring of Bonded Composite Joints

The goal of this internship is to support a project that the NRC has undertaken upon the request of the Department of National Defence to improve the understanding of bonded composite joints specimens and to evaluate the capabilities of existing Structural Health Monitoring (SHM) technologies as they apply to the CH-149 helicopters or other aging […]

Read More