Engineering Commons^™

The Application Of Deep Learning Algorithms To Pediatric Vascular Anomalies Using A Limited Dataset, Briana I. Robertson

Honors Theses

No abstract provided.

An Interactive Software Tool To Assist Dsp Education Of Electrical And Computer Engineering Undergraduates Through Audio, Kyle Andrew Sellers

Honors Theses

No abstract provided.

Iot Garden Frost Alarm, Andrew James

Honors Theses

Home gardeners are faced with yearly challenges due to spring frosts harming young plants. This is frequently mitigated by covering crops with frost blankets, but only on nights when a frost is predicted. In areas with less predictable climate, an unexpected frost can kill vulnerable plants, reducing the amount of food produced. A system is proposed and designed here to use internet of things (IoT) technology to enable a small weather station in the home garden to report current climate data and predict frosts, then alert the gardener in time for them to cover their plants.

The system as designed …

Circuit Breaker Failure Analysis System, Marlie Norbrun

Honors Theses

Norbrun, Marlie Circuit Breaker Failure Analysis System. Electrical, Computer, and Biomedical Engineering Department, June 2021.

ADVISOR: Professor James Hedrick

Electrical malfunctions are one of the leading causes of domestic fires in the United States. Between 2012 and 2016, electrical failures were responsible for 44, 860 residential fires (Richard Campbell, “Home Electrical Fires”). All electrical circuits contain circuit breakers, which are used as safety mechanisms to interrupt current flow when a fault develops. It is not always possible to determine if an electrical fire resulted from a circuit breaker malfunction. Thus, it would be beneficial to have a cost-effective and user-friendly …

Radar Network Synchronization And Imaging Using Semiconductor Laser System, Meesha Gupta

Honors Theses

The purpose of this project is to report the software implementation of radar network synchronization and imaging using a semiconductor laser system. We compare different radar configurations and methods to generate laser chaos.

The monostatic radar configuration has limited capabilities of detecting targets with low radar cross-sections. This configuration is also vulnerable to intentional interference. In contrast, a radar network where multiple radar transceivers (nodes) are placed strategically can yield superior detection. This radar network can also extract additional information about the target, such as its size and shape. However, synchronizing the nodes in the radar network poses a significant …

Chaos-Based Coffee Can Radar System, Conor Willsie, Rong Chen

Honors Theses

Linear frequency modulated (LFM) radar systems are simple and easy to implement, making them ideal for inexpensive undergraduate research projects. Unfortunately, LFM radar schemes have multiple limitations that make them unviable in many real-world applications. Given the limitations of LFM radar systems, we propose a chaos-based frequency modulated (CBFM) system. In this paper, we present the theory, design, and experimental verification of a CBFM radar system that has both ranging and synthetic aperture radar imaging capabilities. The performance of our CBFM system is compared to that of the LFM system designed by MIT. We document many challenges and unforeseen obstacles …

An Open-Baffle Motional Feedback Loudspeaker, Matthew Quinlivan, William Harvie

Honors Theses

A dynamic loudspeaker mounted in an open baffle has the same parameters as a loudspeaker in free space. A subwoofer mounted in an open baffle has a small total quality factor and therefore the frequency above which the driver has a significant output is too high despite the subwoofer's low resonant frequency. To address this issue, we implemented a motional feedback circuit with the goal of introducing both velocity feedback and acceleration feedback into the loudspeaker system and thus altering the resonant frequency and total quality factor of the system. After verifying the efficacy of our feedback circuit with computer …

A Study Of Deep Reinforcement Learning In Autonomous Racing Using Deepracer Car, Mukesh Ghimire

Honors Theses

Reinforcement learning is thought to be a promising branch of machine learning that has the potential to help us develop an Artificial General Intelligence (AGI) machine. Among the machine learning algorithms, primarily, supervised, semi supervised, unsupervised and reinforcement learning, reinforcement learning is different in a sense that it explores the environment without prior knowledge, and determines the optimal action. This study attempts to understand the concept behind reinforcement learning, the mathematics behind it and see it in action by deploying the trained model in Amazon's DeepRacer car. DeepRacer, a 1/18^th scaled autonomous car, is the agent which is trained …

An Investigation Into Cognitive Radio System Performance, Courtney Hardy, Lucas F. Feather, William S. Guy

Honors Theses

The objective of this thesis is to explore cognitive radio performance through an in-depth literature review and an implementation of a software-defined radio prototyping system. Specifically, this thesis investigates the spectrum-sensing aspect of cognitive radio by comparing two spectrum-sensing methods. It was found in the literature review that a system utilizing matched filter detection would provide higher probability of detection in low signal-to-noise ratio environments when compared to a system utilizing energy detection. These spectrum sensing methods were thus implemented and compared in the cognitive radio systems presented in this thesis. Additionally, experiments were conducted to determine the most efficient …

Parametric Design Of Flywheel For An Electric Punch Press, Prashant Dhakal

Honors Theses

Almost all designs start with a design requirement. These may be weight, volume, clearance, and even custom calculations. Finding a solution that meets these requirements often involves tedious and time-consuming iterations. Once the solution has been found, the design must be optimized to find the best possible solution. Finding the ‘best possible design’ requires substantial time and effort dedicated to iterating and analyzing the potential model solutions. This is where Parametric design comes into play. The Parametric design aids in specifying the key parameters of the design and makes changes interactively, with the model updating automatically. The purpose of this …

Velocity Electric Mobility Platform, Austin Gilbert

Honors Theses

The purpose of this project is to develop an IOT connected micro mobility platform to be used in electric personal transportation devices such as scooters and longboards. This initial platform will be used as a starting off point for Velocity Research to continue with future development.

The first main requirement of the design is that it must be able to control two independent three phase brushless DC motors using field oriented control. These motors must be controlled based on input from the user via a handheld remote control. The second main requirement is that the device must also send and …

Amplification And Filtering Stage For An In-Home Wireless Polysomnograph, Seth Young

Honors Theses

Obstructive sleep apnea is a sleep disorder that tends to be easily treatable but, for most sufferers, is undiagnosed. To lower the economic barriers to screening the design of a portion of a polysomnograph, or obstructive sleep apnea testing tool, is considered. A filtering and amplification stage is theorized, simulated, and constructed for testing. The stage, consisting of three cascaded 1st order Butterworth low pass filters and amplifiers, did not achieve the target signal to noise ratio for a sinusoidal waveform of amplitude 200µv, but showed promising signal to noise ratios for waveforms with amplitudes as low as 600µv. The …