Use of non-invasive wildlife detection data to identify habitat of importance to focal species in a conservation and forestry matrix

Understanding how many animals live in a given area, and how those animals move from one place to another, is centrally important for properly conserving and managing landscapes. This project aims to study grizzly bear populations in the Great Bear Rainforest of British Columbia, BC. It will use DNA data collectively non-invasively from grizzly bears at sampling stations throughout the region.

Establishing the Validity and Reliability of a Novel Wearable Physical Activity Monitoring System for Older Adults

Wearable physical activity monitors have become increasingly commonplace as commercial fitness products. However, current devices can be expensive and cannot accurately measure activity for older adults. Xerus, Inc. has recently built an affordable activity tracking system able to measure physical activity levels in older adults. However, the accuracy of Xerus activity tracking monitor has not been tested. Thus, the objective of this study is to determine the accuracy of the Xerus activity monitor to measure physical activity in older adults while performing mobility tasks.

Prediction of Insurance Coverage and Wait Times

The purpose of this project will be to develop a flexible and statistically sound methodology for leveraging BPI’s database of current and historical publicly available coverage information to model coverage trends in the U.S. health insurance industry. The project will also include the development of an R Markdown template for future predictive analytics reports. The templates and methodologies developed for this project will be integrated into BPI, Inc.'s custom consulting division.

Design of a thermal link for a passively cooled mobile shipping container using solid carbon dioxide

Ultra-low frozen food temperatures between -30°C to -60°C are important when shipping high value seafood products to worldwide markets. Maintaining these temperatures using a traditional vapor compression refrigeration cycles becomes increasingly difficult as the span between desired cargo and external temperature increase. Solid CO2 has the capacity to sustain ultra-low frozen temperatures even during hot summer days using a passive, non-mechanical refrigeration system.

Nanostructured functional materials from the bottom up

In this series of collaborative projects, we propose a combination of computational and experimental investigations of the preparation and dielectric properties of new, mixed inorganic materials. We will optimize the fabrication process of standard oxide dielectrics and semiconductors, and mixed derivative materials for efficiency and costs, and study the effects of making small modifications to the material’s composition on its field response. The materials proposed here have the potential to evolve in a new class of energy storage and related technology within the next 10 years.

Structural Health Monitoring using Unmanned Aerial Vehicles (Drones) for Asset Management

The proposed project’s main objective is to solve the complex and very important problem currently being faced by almost all the infrastructure owners. At present the inspection is mostly confined to visual means, which is inadequate and also not reliable due to which, many inaccessible areas of an infrastructure could not be inspected. The solution to this problem lies in providing UAV based and other non-contact assessment techniques at a reduced cost.

Understanding and Improving Knowledge Flow in Software Organizations

Software teams and organizations use various tools -- either by design or appropriation -- to manage and share knowledge. Software engineering practitioners recognize that good documentation and effective knowledge sharing are critical to the success of a project and also to developer productivity. Yet, writing and maintaining documentation is often an afterthought for software engineering teams, and its very utility is subject to the software development methodology followed.

Predicting noise impact on fish communities in the western Canadian Arctic using Passive Acoustic Monitoring - Year two

Several fish species produce species-specific sounds that can be identified in the wild using Passive Acoustic Monitoring (PAM) (i.e. dataloggers configured with underwater microphones). Our project will use existing and new PAM recordings to monitor the distribution of several fish species in the western Canadian Arctic, with particular focus on a keystone Arctic species, the Arctic cod (Boreogadus saida). Acoustic signal detection techniques will be implemented to identify fish sounds from large acoustic datasets.

Large-Area High-Performance Transparent Electrodes for Pen/Touch Sensor Research - Year 2

Transparent electrodes (TEs) combine high optical transparency and electrical conductivity, useful in different devices such as light-emitting diodes, displays and solar cells. A highly competitive market of electronic devices, such as phones and flexible touch screens as well as a worldwide increasing demand for energy, drives research to improve the performance of TEs. However, mass production of high-performance TEs is expensive due to costly materials and fabrication techniques.

Ransomware Detection through Device and Network Behavior Monitoring

Ransomware consists of malicious software that after infecting a target device prevents the device owner from using effectively the corresponding resources until the demands of the ransomware operator are met usually by paying a ransom, typically using cryptocurrencies.
Despite the growing number of ransomware infections, their increasing sophistication, and their significant financial and operational impact, available defensive mechanisms are still embryonic.

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