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CreatorTitleDescriptionSubjectDate
1 Hodgson, Keeton R.Accelerating DNA Sequence AlignmentPrecision medicine can provide breakthroughs in current medical technology and treatment. The ability to prescribe a speci#12;c cure to a speci#12;c disease for a spe- ci#12;c person can greatly reduce the cost of medical treatments, reduce mistakes in the medical #12;eld, and increase the e#11;ecti...2018
2 Gilbert, AndrewComputational modeling of the rat hippocampus for improving neural stimulationNeural prostheses are used to restore some level of function to tissue damaged by disease. It is important to model and correctly identify the relationship between electrical stimulation and neural response to provide a framework for prosthetic stimulation. This work will show a struc...Neural stimulation - Research; Hippocampus (Brain) - Research; Memory - Research; Rats as laboratory animals - Research; Neural prosthetic2016-05
3 Waung, Austin J.Creating a Potential Solution for the Adverse Effects of Electric Vehicle LoadingThe purpose of this project was to create a smart plug-adapter, which could limit the charging rate of electric vehicles, thereby allowing for greater control of the electric load. A user is able to control the charge rate through a cellular application. This project was designed to be utilized with...2019
4 Robe, John WilliamThe Design and Implementation of Autonomous Robotic SystemsThis research focuses on the development of an autonomous robotic system using Robot Operating System (ROS), with the purpose of competing in the NASA Robotic Mining Competition in collaboration with the Utah Robotic Mining Project team. While completing this research, the following discoveries were...2017
5 Gilbert, HenryDevelopment of a Power over Ethernet (POE) Airu SensorPoor air quality has been linked to both health and economic concerns, and is a growing research topic in Salt Lake City. The AQ&U program at the University of Utah strives to develop a large network of low-cost air quality sensors (AirU's) to study air pollution throughout the Salt Lake valley. Man...2020
6 Fluckiger, Kylee ReneeFlexible Sensing for Pressure Ulcer Detection and PreventionPressure ulcers are a common and harmful ailment among those who use a wheelchair for extended lengths of time. Periodic pressure relief actions performed by the wheelchair user have been shown to reduce the occurrence of pressure ulcers, but these actions may not be completed correctly or regularly...2020
7 Santos, Jean Paul DytiocoFlight control systems with optimal effector allocation accounting for load constraintsThis paper describes the development of quadratic optimization algorithms to be used in flight control systems; such optimization algorithms aid in distributing control efforts among available actuators to produce forces to keep aircraft stable and in flight. With the advancement of computing power,...Flight control; Algorithms2013-05
8 Luchinovich, AleksandrImproving measurement techniques of thin film solar cellsNew, innovative solar cell technologies such as CZTS, CdTe, and hybrid perovskite solar cells are constantly being pursued in order to deliver better cost per Watt performance. Moreover, cost and long term reliability(25 years or more) are important factors that are currently considered. The Scarpu...Solar cells - Testing; Thin films - Research; Electric power - Research; Thermal admittance spectroscopy2016-05
9 Avery, RebeccaMultipurpose control system for thermal energy scavenging applicationsThermoelectric generators, known as TEGs, can be used to generate electricity from a temperature differential. This project, undertaken by the author and senior project partner Derek Jones, characterizes the SP1848 TEG module and demonstrates its use. Expected output and optimal impedance matching a...2018
10 Kapetanovic, StefanNon-Anthropomorhic Deep Learning: Developing the "Eyes for the Internet of Things"Deep Learning (DL) and Convolutional Neural Networks (CNNs) have been established as a powerful class of models for image recognition problems. Encouraged by this, we implemented a system that can accurately predict handwritten numbers from a raw CMOS machine image. Current forms of deep learning do...2017
11 Beus, ZacharyPower system stabilizerThe goal of this project, part of the Power Industry Consortium, was to design a power system stabilizer for a small grid-connected three phase synchronous generator. Power System Stabilizers control the excitation of synchronous generators to reduce lowfrequency oscillations on the grid and increas...Voltage regulators; Power system stabilizers2015-05
12 Bull, Auguest JohnRobotic Grasp Control Using Tactile FeedbackAs we move towards more autonomous robots, object interaction and manipulation remains difficult for robots. Grasping approaches vary from learning-based to traditional control means, each with their own challenges. Learning-based methods perform well on specific tasks, but struggle to move to other...2020
13 Clark, CalliStudying hypothetical electromagnetic earthquake precursors using a global finite-difference time-domain modelElectromagnetic (EM) precursors may be detectable by satellites and ground-based stations before large earthquakes strike and destroy entire cities. However, earthquakes are near impossible to predict as the physics of earthquake precursors is still poorly understood. This paper reports a global...earthquake prediction - Research; Seismology - Research; Earthquake hazard analysis; Earthquake precursors; Electromagnetic signals; Ionospheric physics; Finite-difference time-domain model2016-04
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