By: Robin Yadav
Wildfires are one of the most devastating and harmful natural disasters that occur in Canada every year. Firefighters require the best tools and equipment to fight these wildfires and limit their damage. Drones are becoming an increasingly useful asset to firefighters for wildfire monitoring and assessment. This project leverages deep learning to create a novel video-based fire detection system to add fire recognition and automation capability to drones.
By: Gurik Mangat
This study aims to utilize artificial neural networks (ANNs) integrated into an application interface to make wildfire environmental conditions detection fast and accurate for firefighters in the field. In order to achieve this, we constructed a dataset containing a list of widely accepted environmental conditions that contribute to wildfire spread and ignition and utilized a K-means clustering algorithm on NDVI imagery to analyze fuel moisture. This was integrated into an easy-to-use desktop application
By: Patricia Rea
Long-term settlements in space will have to be self-sufficient, producing their own resources, while keeping in mind transport constraints. Yeast is a perfect candidate for use on these missions as it is relatively resilient, well understood, and it is small and lightweight. This research is part of the development of a strain of Saccharomyces cerevisiae (S. cerevisiae) with the goal of surviving these temperatures through the use of antifreeze proteins (AFPs).
By: Ryan Walker and Rachel Parson
The St. Martin crater in Gypsumville, Manitoba (Figure 1), became a terrestrial analogue site due to the various unknowns surrounding its formation and composition. Our project focus was to analyze the target selection and sample triage capabilities of a rover through comparison between data gathered by an on-site team, with equipment similar to that of the Curiosity rover, and data collected by the off-site team, through looking at the photos of the site.
by: Hannah Boucher
This paper investigated the influence of specific variables, including force, pressure, bending angle, volume, and displacement on the movement of pneumatic pouch motors. After conducting a review of the literature within the field of soft robotics, a gap was found in the use of pneumatic pouch motors due to the lack of current research available in this field.
