Probiotic Reduction of Biofilm and Viral and Microbial Spread in Built Environments through Air Purification and Humidity Control

Origen Air and the University of Victoria (UVic) will construct a controlled test environment inside a seven-meter shipping container with a greenhouse bio filter installed on the roof. It will connect to a heating, ventilation, and air conditioning (HVAC) system servicing the interior of the shipping container. The system will include anti-viral surfactants and air purification/humidity control technologies, including probiotic fogging to destroy biofilms, genetically engineered pothos ivy biofiltration, activated carbon filtration, ultraviolet disinfection, and HEPA particle filtration.

Validation of the Rootd App for Reducing Anxiety and Panic Attacks

During the COVID-19 pandemic, it’s become quite apparent that mental health needs to be prioritized. Due to the demands of social isolation, getting adequate mental health support can be difficult. However, the mobile application Rootd provides a low-cost and large-scale solution to this problem, as it can help the average person deal with increased anxiety and panic attacks. In this proposed work, we will undertake a scientific validation of the Rootd app through the use of methods from psychology and neuroscience.

Translucent photovoltaic blinds: a novel solution for solar energy harvesting using perovskite

Climate change has been a top concern of Canadians for the past several years. Canada is among 3 top global CO2 emitters per capita. Our goal is to develop and commercialize a viable solar energy harvesting system to help Canada decarbonize its economy.
Amorphous silicon has the most mature technology in the photovoltaic market. Silicon solar cells are mostly used in solar farms or installed on roofs.

Autonomous Mission Planning and Simulation Software Design for Unmanned Surface Vehicles

Ocean industries and researchers need the on-site oceanographic and environmental data, but collecting that data is costly, challenging, and time-consuming. Unmanned surface vehicles (USVs) offer a promising solution for marine data collection. Equipped with oceanographic sensors, cameras and communication devices, the USV Data Xplorer developed by Open Ocean Robotics can voyage for extended periods thanks to the additionally generated solar energy from the USV’s solar panels.

Studying Empathetic and Emotive User Interfaces for Data Collection During Disasters

In times of crisis or disaster, there is a need for software features and functions to be empathetic to the circumstances of the person who is using that software. Having empathetic software features and functions is particularly important when the software is being used to collect data about the health status and information needs of the person who is completing an online survey tool during a crisis such as a global pandemic.

Can deep learning algorithms be trained to automate the classification of information held in historical and repeat photographs?

Repeat photography is a valuable tool for evaluating long-term ecological change. Historical photographs used for repeat photography often predate conventional remote sensing data by decades, and the oblique perspective of the photographs capture details of the landscape absent in nadir imagery. To date, most approaches to quantifying landscape change using repeat photography have involved manual classification techniques (i.e. demarcating land cover categories by hand), which are time-consuming, expensive and difficult to reproduce consistently.

Nanostructured ceramic catalysts for fuel cells

Currently, burning fossil fuels such as coal, oil, and natural gas as a primary source of energy is a contributor to rising atmospheric carbon dioxide and climate change. Fuel cells are a promising environmentally friendly technology for sustainable clean energy, where the only byproduct is water. An important component of fuel cells for generating electricity is the ‘catalyst’, a material that allows for key chemical reactions to happen.

Computer Vision Algorithms for USV mounted Real-Time Marine Vessel Detection Systems

This is a feasibility study for designing an automatic marine vessel detection system that can be used by an Unmanned Surface Vehicle. Following a thorough exploration of the challenges related to the video date acquired on the boat by our partner, we will come up with recommendations for the best camera hardware setup and preprocessing techniques that improve video quality. Next, state-of-art machine learning techniques for target detection will be applied to spot the marine vessels.

Novel service delivery models for children with neurodevelopmental disabilities and their families in light of the COVID-19 pandemic

COVID-19 has changed the way we access services in the community. Many services are now being offered online or over the phone instead of in a building. While this works for some families, families who are new to Canada, do not speak English, and don’t have access to technology may not be able to receive services during the pandemic. Children with brain-based disabilities may have difficulty with their behaviour, paying attention, and socializing with other children. This can add extra stress to parents during the COVID-19 pandemic.

The role of historical Indigenous burning patterns in reducing risk to mountain communities

For thousands of years before European arrival, the Indigenous people of the Rocky Mountains regularly used low-intensity surface fires to keep forests clear of debris and fuel to mitigate the risk of high-intensity wildfire. The proposed project will investigate the historical extent of landscape management by Indigenous burning methods and explore the incorporation of Indigenous burning practices into modern forest management programs to cope with recent extreme wildfire seasons.

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