Gillian Mok – Applied Science, Year 2 Abstract A person’s postural sway is an indicator of their overall balance. Currently, there are no general-use devices that can be used to measure a person’s postural sway. The lack of accessibility is concerning for seniors as they generally have higher risks of falling. To address the issue, […]
Better Drops: A 3D-Printed Solution for Ophthalmic Waste
Alexandra Ye – Applied Science, Year 2 Abstract This study investigates the impact of dropper tip geometry on eye drop volume and usability, in order to reduce medication waste and improve dosing accuracy. Four 3D-printed prototypes with varying internal and external structures were designed and tested against a commercial control using standardized saline trials. Drop […]
Optimizing Alkaline Electrolysis: A Comparison of Electrolyte Performance
Ann Wang – Applied Science, Year 2 Abstract Hydrogen fuel cells are increasingly recognized as a pivotal technology in the global transition to sustainable energy systems. Harnessing the potential of hydrogen, the element with the highest energy content per mass unit (142 MJ/kg), they are playing a critical role in decarbonizing industries that are hard […]
Photographic Transposition of Alphabetical Music Chords
Dennis Shen – Applied Science, Year 2 Abstract Optical Character Recognition (OCR) is a process through which computers are trained to recognize characters appearing within an image. Recent advancements show promise for OCR to be applied to music. This study aims to create an open-source program that incorporates OCR to transpose alphabetical chords found in […]
Efficient assistive technology with computer vision
Michael Yang – Applied Science, Year 2 Abstract Visually impaired people face difficulties navigating through physical environments every day. This project explores a cost-efficient solution using efficient computer vision models on low-cost hardware, such as a Raspberry Pi, to provide real-time object detection. A computer vision model was fine-tuned to recognize a single object and […]
Noise Cancellation with Circuitry
Johnson Song – Applied Science, Year 2 Abstract Noise pollution in urban environments has become an increasingly pressing health issue, prompting the development of noise-canceling technologies. This project explores the design and testing of an analog circuitry-based selective noise cancellation system intended to preserve human speech frequencies while attenuating unwanted background noise. Using a MAX4466 […]
Reducing Landslide Hazards from Resource Roads in British Columbia: A Comparative Analysis of Deactivation Effectiveness
Ariana Brezai – Applied Science, Year 2 Abstract Landslides are a frequent threat in British Columbia. Their occurrence results in the degradation of natural habitats, loss of investment in forest roads, and puts human life at risk. Neglecting to properly deactivate resource roads can further increase this risk. This study aims to model two different […]
Comparison of chemical properties of available portable drinking water sources in Vancouver
Ella Leong – Applied Science Abstract Water testing has become a very important practice in today’s society. More and more people are becoming concerned about what is in the water they’re drinking. They want to be educated about the different things that could be in the water they drink every day (Allina, et al. 2012). […]
Improving Patient Safety via the Implementation of a Damping Mechanism in Ambulance Stretcher Design
Bobby Chen – Applied Science Abstract Prehospital emergency care is challenging and can expose patients to secondary injuries from hazardous shocks and vibrations during ambulance travel on uneven roads. Addressing the issue of unwanted z-axis acceleration, a proposed scaled-down physical prototype of an ambulance stretcher, incorporating a damping mechanism, was developed and tested. The comparison […]
Developing a Smart Guided Parking System
Yixin (Sophie) Jiang – Applied Science Abstract Parking congestion in urban areas is a persistent issue that contributes to environmental, physical, and mental problems. This study built a two-part guided parking system to optimize the spot-finding process. The first part was a sensor network for detecting spot occupancy. The second part was a Python user […]