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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). […]

Taming the Skies: Computational-Fluid-Dynamics (CFD) Optimization of a 3D-Printable Unmanned Aerial Vehicle (UAV)

Alejandro Senties Gutierrez- Year 3   Abstract The advent of unmanned aerial vehicles (UAVs) has unlocked a new realm of innovative possibility in a majority of sectors. Projected growth rates are positive as applications of UAV systems become more versatile. The advancement of UAVs is enabled in no small part by increasingly-accessible computer-aided design (CAD), […]

Engineering Food Avoidance in Cockroaches via Replicant Pheromones

Ava Joa- Year 3 Abstract Due to many of the lasting effects of modern pesticides, there has been a growing push to develop more ecologically friendly alternatives. This paper examines the possible applications of necropheremones and discusses their potential effects of creating avoidance in insects after its administration to organic compounds. Over a course of […]

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 […]

The Race to Acquiring Liquid Gold: Testing Widespread Water Purification Methods Against Pathogens

Aaliyah Cabiles – Life Science Abstract Water is essential to survival; however, many issues exist with current water sanitation methods, resulting in preventable mortalities. The purpose of this experiment was to examine three popular water purification methods: iodine, chlorine and UV light. Water samples were obtained and utilized to serve as a model to examine […]

The Effect of Running in Heart Rate Zone 2 Versus Heart Rate Zone 3 on Aerobic Efficiency

Brandon Wu – Applied Science Abstract This experiment investigates how running in heart rate Zone 2 versus Zone 3 impacts running economy and how efficiently the body consumes oxygen during aerobic exercise at various intensities. The participant underwent 10 Zone 2 runs and 9 Zone 3 runs at increasing paces on a treadmill over 10 […]

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 […]

Open-source Melanoma Detection

Marco Montalbano – Applied Science Abstract This paper examines the research behind and creation of an IOS app which classifies several different types of skin cancer using a neural network. Currently it is estimated that 1 in 58 Americans will develop skin cancer and the cost of diagnosis and treatment can range anywhere from US$500-US$20,000 […]

Spaced Repetition in a SwiftUI Application Which Teaches Driving

Frances Sayer – Applied Science Abstract Spaced repetition is the spreading of content to be learned over long periods of time. It has become widespread in learning technology due to its efficacy and ease of implementation. This study aims to create an application that uses spaced repetition for the purpose of teaching the rules of […]

Differentiating AI vs. Human Art: A Convolutional Neural Network Approach

Juneeta Lakshmi Vangala – Applied Science Abstract Artificial Intelligence (AI) impact on the art industry has grown rapidly in recent years. This project aims to differentiate between AI-generated and human-made art. It uses Convolutional Neural Networks (CNNs) to classify images, using a dataset customized from Kaggle. Through model training, the CNN demonstrates promising performance in […]

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