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Full-Text Articles in Engineering

Dynamic Maze Puzzle Navigation Using Deep Reinforcement Learning, Luisa Shu Yi Chiu Sep 2024

Dynamic Maze Puzzle Navigation Using Deep Reinforcement Learning, Luisa Shu Yi Chiu

Master's Theses

The implementation of deep reinforcement learning in mobile robotics offers a great solution for the development of autonomous mobile robots to efficiently complete tasks and transport objects. Reinforcement learning continues to show impressive potential in robotics applications through self-learning and biological plausibility. Despite its advancements, challenges remain in applying these machine learning techniques in dynamic environments. This thesis explores the performance of Deep Q-Networks (DQN), using images as an input, for mobile robot navigation in dynamic maze puzzles and aims to contribute to advancements in deep reinforcement learning applications for simulated and real-life robotic systems. This project is a step …


Investigation Of Temperature, Solution Strength, And Applied Stress Effects On Cation Exchange Processes In Different Geosynthetic Clay Liner Products, Kendra Fuller Sep 2024

Investigation Of Temperature, Solution Strength, And Applied Stress Effects On Cation Exchange Processes In Different Geosynthetic Clay Liner Products, Kendra Fuller

Master's Theses

An extensive laboratory test program was conducted to analyze and compare the cation exchange processes in three different varieties of sodium bentonite (Na-B) geosynthetic clay liners (GCLs) over increased conditioning durations up to 32 days and investigate the effects of temperature, solution strength, and applied stress. The goal of this test program was to establish whether the variables of temperature, solution strength, and applied stress improved or degraded the engineering properties of GCLs in laboratory testing and municipal solid waste (MSW) landfill applications. The GCLs were conditioned in liquids of increasing ionic strength, using deionized water and 2, 50, and …


Dual Base Sige Is-Hbt For Use In Biosensing Applications, Liam Stephen Hayes Sep 2024

Dual Base Sige Is-Hbt For Use In Biosensing Applications, Liam Stephen Hayes

Master's Theses

The proposed research is for a novel SiGe-based Ion-Sensitive Dual Hetero-junction Bipolar Transistor (IS-HBT) to be used in both trans-dermal biological sensing as well as Lab-on-Chip (LOC) applications. The end goals for the device designed are two: For one, the research done for this work will be used to substantiate the claims made by Zafar et al. [1] that an HBT-style structure is better suited for biosensing application rather than a conventional Field Effect Transistor (FET) based geometries. Secondly, it provides the final element to be integrated along with a selectivity membrane, as well as with a reverse-iontophoresis system to …


Design And Implementation Of An Inverted Short Baseline Acoustic Positioning System, Jakob Frabosilio Sep 2024

Design And Implementation Of An Inverted Short Baseline Acoustic Positioning System, Jakob Frabosilio

Master's Theses

This document details the design, implementation, testing, and analysis of an inverted short baseline acoustic positioning system. The system presented here is an above-water, air-based prototype for an underwater acoustic positioning system; it is designed to determine the position of remotely-operated underwater vehicles (ROVs) and autonomous underwater vehicles (AUVs) in the global frame using a method that does not drift over time.

A ground-truth positioning system is constructed using a stacked hexapod platform actuator, which mimics the motion of an AUV and provides the true position of an ultrasonic microphone array. An ultrasonic transmitter sends a pulse of sound towards …


Engineering-Enhanced Theatre: How Engineering Involvement Can Aid Regional Theatres, Albert M. Le Sep 2024

Engineering-Enhanced Theatre: How Engineering Involvement Can Aid Regional Theatres, Albert M. Le

Architectural Engineering

Engineering and theatre are disciplines not often associated with each other within regional and small theatre companies in the United States. The distinction between the two fields of study is not simply from the fundamental differences between how each field is taught and practiced, but also the difficulties encountered within a scope of theatre often constrained with limited budget and time for each production. However, when beginning to explore the intersection between engineering and theatre, it is found that the empirical nature of current theatrical practices can be countered, and scenic design and construction can be re-envisioned with engineering involvement …


Innovations To Increase Plywood Shear Wall Design Capacity And Resiliency, "Mega Walls", Through Ductile Metal Strapping, Trevor Douglas Reichenberg, Tara Suzanne Reich, Katelyn Marie Lowry Sep 2024

Innovations To Increase Plywood Shear Wall Design Capacity And Resiliency, "Mega Walls", Through Ductile Metal Strapping, Trevor Douglas Reichenberg, Tara Suzanne Reich, Katelyn Marie Lowry

Architectural Engineering

The researchers of this project are three undergraduate Architectural Engineering students at California Polytechnic State University, San Luis Obispo. Plywood shear walls are common structural elements in timber structures that resist lateral forces. Since their introduction to the industry in the 1950s, their shear capacities have remained essentially unchanged amongst the innovations of other wooden lateral systems. Prior to this project, Cal Poly undergraduate researchers have taken on the challenge of modernizing the shear wall. The “MeGa Wall” project was born: a system that implements metal gauge strapping which enhances a conventional wall by reducing nail connection failures. Full-scale experimental …


Structural Health Monitoring In A Small-Scale Environment Using Wired And Wireless Communication Device Readings, Gabriela Mcclure Sep 2024

Structural Health Monitoring In A Small-Scale Environment Using Wired And Wireless Communication Device Readings, Gabriela Mcclure

Architectural Engineering

Our goal with this project is to test and develop a structural health monitoring (SHM) device capable of assessing the safety and integrity of building connections and overall structural health. At Cal Poly, a large portion of our structural engineering curriculum focuses on the design of buildings in response to earthquakes and the damage that can be mitigated through proper design. The increasing accessibility of technology in our world allows for the growth and development of systems that can enhance building safety and help us better understand how building practices can evolve to continue prioritizing life safety. Structural health monitoring …


Understanding Climate Change Adaptation And Gentrification Through The Framework Of Uneven Coastal Development In Keansburg, New Jersey, Zachary Paganini Sep 2024

Understanding Climate Change Adaptation And Gentrification Through The Framework Of Uneven Coastal Development In Keansburg, New Jersey, Zachary Paganini

Dissertations, Theses, and Capstone Projects

This study examines the rapid acceleration of coastal development in the United States despite projections of climate change-induced sea level rise. Like no other developed country, the U.S. has transformed its fragile coastline into sites for leisure, consumption, and retirement. These spaces now face the prospect of more frequent and severe storms, as well as land loss and inundation, due to climate change. This dilemma has sparked debates around coastal resilience, adaptation, retreat, and climate gentrification.

While many studies seek to measure perceptions of climate change risk and vulnerability, this dissertation reverses the question by positioning risk perceptions as an …


Resting-State Eeg Microstate Features For Major Depressive Disorder Classification, George M. V. Quinn Sep 2024

Resting-State Eeg Microstate Features For Major Depressive Disorder Classification, George M. V. Quinn

Dissertations, Theses, and Capstone Projects

Neuroimaging studies have revealed consistent abnormalities in functional connectivity within specific neural networks that may serve as biomarkers for major depressive disorder (MDD). It is important to find inexpensive, non-invasive techniques that target these biomarkers to make diagnosis easier and more objective. EEG microstates are quasi-stable potential topographies that are thought to reflect the quasi-stable network activity of the underlying neural generators. MDD has been shown to alter features of the four canonical EEG microstates (A, B, C, D) with some conflicting results. The most consistent network abnormalities in MDD are found in the anterior default mode network, and this …


Nasogastric Tube Insertion Aid, Lauren S. Ark, Angela D. Biezins, Zachary B. Crum, Claire E. Nodine, Morgan N. Pope, Natsumi L. Shudo Sep 2024

Nasogastric Tube Insertion Aid, Lauren S. Ark, Angela D. Biezins, Zachary B. Crum, Claire E. Nodine, Morgan N. Pope, Natsumi L. Shudo

Biomedical Engineering

The Nasogastric Tube Insertion Aid project, developed under the sponsorship of the BiCEP Program at California Polytechnic State University, aims to enhance the accuracy and efficiency of nasogastric (NG) tube placement. This initiative was inspired by challenges observed during the BiCEP summer program, where difficulties in NG tube insertions led to multiple attempts, increased patient discomfort, and serious medical risks, including lung punctures and brain trauma. The project's goal was to design an insertion aid that improves placement accuracy while being cost-effective and user-friendly for medical professionals. The device features an external tensioning mechanism that allows controlled deflection of the …


Enhancing Ammonium And Bicarbonate Tolerance In Chlorella Sorokiniana Through Ems-Induced Mutagenesis, Wentao Yang Sep 2024

Enhancing Ammonium And Bicarbonate Tolerance In Chlorella Sorokiniana Through Ems-Induced Mutagenesis, Wentao Yang

McKelvey School of Engineering Graduate Student Theses & Dissertations

This study explores the enhancement of ammonium and bicarbonate tolerance in Chlorella sorokiniana via EMS-induced mutagenesis, aimed at improving the microalgae's resilience and growth under high-stress conditions of elevated NH4+ and HCO3 concentrations. By mutating C. sorokiniana using EMS, we developed mutant strains capable of thriving in conditions that are inhibitory to the wild type strain. The successful adaptation of these strains demonstrates a significant increase in biomass production and tolerance to environmental stressors, highlighting the potential of EMS mutagenesis in industrial algal applications for sustainable biofuel production and environmental remediation.


Slo Children’S Museum Music Education Exhibit, Charles Coffen, Madeline Carleton-Sniff, Yael Castillo, Anthony Ramos Sep 2024

Slo Children’S Museum Music Education Exhibit, Charles Coffen, Madeline Carleton-Sniff, Yael Castillo, Anthony Ramos

Mechanical Engineering

The Children’s Museum in San Luis Obispo is a non-profit facility providing education to young children through interactive exhibits. The proposed project would address a basic introduction to musical theory through mechanical engineering principles. The target audience for this musical art installation would be young children, aged 5-10, who would be regularly interacting with this exhibit, as well as their parents, and the employees of the museum. The installation will educate children in basic musical understanding through interaction while still being engaging enough to hold their attention. This document describes the final concept design and various methods of verification in …


Integrating Blockchain Technology Into The Software Development Life Cycle To Satisfy The Software Bill Of Materials Requirement For Government Software Systems, Walter T. Scott Ii Sep 2024

Integrating Blockchain Technology Into The Software Development Life Cycle To Satisfy The Software Bill Of Materials Requirement For Government Software Systems, Walter T. Scott Ii

Theses and Dissertations

This thesis explores the integration of Blockchain Technology (BT) into the Software Development Life Cycle (SDLC) to satisfy the Software Bill of Materials (SBOM) requirement for government software systems. This study begins by synthesizing a standard SDLC definition from various government and industry references, which may provide the foundation for future efforts to standardize software development practices across the government software development community. This study proceeds to define working definitions for the software supply chain (SSC) and software supply chain management (SCM) before introducing and detailing the SBOM requirement as well as providing an overview of prior research regarding SBOMs …


Validation Of Mobile Devices In Arbitrary Locations Against Force Plate Standard For Balance Assessment, German J. Ellsworth Sep 2024

Validation Of Mobile Devices In Arbitrary Locations Against Force Plate Standard For Balance Assessment, German J. Ellsworth

Master's Theses

With balance assessment being essential to the prediction of fall risk and detection and assessment of motor disorders, increasing clinical accessibility to objective balance metrics is essential. Work has been done validating center of mass (COM) acceleration metrics against well regarded force plate center of pressure (COP) position standards for mobile device data acquisition systems, but most research is restricted to devices being close to the COM or strapped in a harness configuration. Through the use of rigid body kinematics and the inverted pendulum model, this study develops novel methodology for calculating COM acceleration using mobile devices in arbitrary positions, …


A Data-Driven Framework For Analyzing And Predicting Social Media Engagement During Rumor Propagation, Joseph E. Faza Sep 2024

A Data-Driven Framework For Analyzing And Predicting Social Media Engagement During Rumor Propagation, Joseph E. Faza

Master's Theses

The spread of rumors on social media has become a significant concern, as platforms like X (formerly known as Twitter) enable rapid dissemination of unverified information. These rumors can shape public perception and behavior, making it crucial to understand the dynamics of their spread. The main objective of this study is to explore how users interact with rumor-related tweets and identify key factors that predict tweet engagement. By analyzing tweets from seven different rumor events, this research aims to uncover patterns in user engagement and provide insights into the spread of misinformation. The study utilized a dataset of tweets from …


Assessment Of Dune Change Using Historical Aerial And Satellite Photos, Topographic Surveys, And Wave Data At Toro Creek Beach, Owen D. Emerson Sep 2024

Assessment Of Dune Change Using Historical Aerial And Satellite Photos, Topographic Surveys, And Wave Data At Toro Creek Beach, Owen D. Emerson

Master's Theses

Coastal sand dunes play an important role in the littoral processes of California’s coastline. Functioning as both source and sink for sand, these dunes often protect coastal infrastructure and provide a buffer between anthropogenic development and coastal forces. At Toro Creek Beach, north of Morro Bay California, recent extreme winter storms have raised concerns about the erosion of the sand dunes that front California State Highway 1. This thesis attempts to characterize the historical growth and recession patterns of the Toro Creek dunes since 1977, the dune movement over the 2023-2024 winter seasons, the wave forcings behind recent high erosion …


Seal Counting On Our Plages (S.C.O.O.P.), Kaanan Kharwa Sep 2024

Seal Counting On Our Plages (S.C.O.O.P.), Kaanan Kharwa

Master's Theses

The Vertebrate Integrative Physiology (VIP) lab monitors the population of northern elephant seals at the largest mainland breeding colony, located at Piedras Blancas (San Simeon, CA). As the population expands, more human-seal interactions and conflicts over land use occur. The VIP lab's work informs California State Parks and helps with the management of the rookery. Currently, members of the VIP lab fly a drone over the beaches, capture multiple images, and manually count the seals, which takes around 14 to 21 hours of analysis per survey. Machine learning methods such as Convolutional Neural Networks (CNN) and Region-based Convolutional Neural Networks …


Value Of Electrical Heavy Civil Machinery In The American Construction Industry, Kaston Wong Sep 2024

Value Of Electrical Heavy Civil Machinery In The American Construction Industry, Kaston Wong

Construction Management

Every day the construction industry is releasing an unhealthy amount of greenhouse gases into the atmosphere. The consequences may seem trivial at first because the planet is slowly deteriorating, and it is not easily discernable on a day-to-day basis; however, similar to constantly taking care of one’s home, one must take care of the planet. On the other hand, the difference between degradation of a home and planet is that the pollution released into the world is irreversible; therefore, we need to be even more conscientious of the environment. As the construction industry continues to grow, the need for heavy …


Effects Of Titanium Particulates On Concrete Compressive Strength, Ryan Christopher Brunello Sep 2024

Effects Of Titanium Particulates On Concrete Compressive Strength, Ryan Christopher Brunello

Construction Management

Titanium has the potential to increase the compressive strength of concrete. This experiment investigates the impact of titanium admixture on concrete compressive strength, using three different forms of titanium: shavings, flakes, and powder. This experiment goes further, evaluating the effects of varying proportions of titanium admixture, ranging from 1% - 5% by the weight of cement, resulting in 15 different concrete test cylinders and one additional cylinder as the control variable with no titanium admixture. This experiment aims to identify the optimal recipe for concrete mix with titanium admixture which can provide valuable insight to the industry as to how …


Investigating Hardware-Based Aes Countermeasures In The Sam4l Microcontroller For Side-Channel Attack Mitigation, Turki Mesbel Alamri Sep 2024

Investigating Hardware-Based Aes Countermeasures In The Sam4l Microcontroller For Side-Channel Attack Mitigation, Turki Mesbel Alamri

Theses and Dissertations

Side-channel attacks (SCAs) represent a sophisticated method by which attackers exploit indirect pathways, such as power leakage and electromagnetic emissions to glean sensitive information from microprocessors. These attacks analyze variation in power consumption during operations like data encryption to infer protected data, potentially compromising the security of the device. For example, observing the power draw differences when a device encrypts known data can also serve defensive purposes. Attacks often overlook emissions and power patterns, while focusing on avoiding network and host-based detection systems. This oversight presents an opportunity for security professionals to use SCAs to enhance system defenses by monitoring …


Autonomous Experimentation For Accelerated Calibration Of Fused Deposition Modeling 3d Printers, Graig S. Ganitano Sep 2024

Autonomous Experimentation For Accelerated Calibration Of Fused Deposition Modeling 3d Printers, Graig S. Ganitano

Theses and Dissertations

Additive Manufacturing (AM), also known as 3D printing, has emerged as a key component of Industry 4.0, enabling reduced cost, quick production, greater sustainability, and increased design complexity compared to its traditional manufacturing counterpart. Currently, Fused Deposition Modeling (FDM) technology dominates the AM market with respect to the number of 3D printers in use. However, the FDM process is sensitive to changes in system configuration, especially the feedstock material. Utilizing a new feedstock requires a time-consuming trial-and-error process to identify optimal settings for a large number of process parameters, acting as a barrier to the technology.

To enable greater accessibility …


Scene Decomposed Blind Deconvolution And Neural Network Based Multi-Frame Image Restoration Techniques For Astronomical Imagery, Joshua S. Sprang Sep 2024

Scene Decomposed Blind Deconvolution And Neural Network Based Multi-Frame Image Restoration Techniques For Astronomical Imagery, Joshua S. Sprang

Theses and Dissertations

Ground based astronomical imaging is an important method in gaining situational awareness of orbiting and far off objects in space. This method of imaging is accessible to everyone that can look up into the sky, but the accessibility to digital telescope systems allows for more exciting methods of extracting information. A use case for these telescopes is finding nearby objects to larger brighter known objects. The number satellites in low-earth orbit and geosynchronous earth orbit is becoming more congested as these orbits increase in population. Tens of thousands of satellites and debris now exist in this orbit, with the number …


Machine Visual Perception For Autonomous Docking Maneuvers, Derek B. Worth Sep 2024

Machine Visual Perception For Autonomous Docking Maneuvers, Derek B. Worth

Theses and Dissertations

This dissertation presents a novel approach to autonomous docking using machine learning for visual perception, particularly during probe and drogue aerial refueling. Autonomous vehicles have become pervasive in both civilian and defense sectors, and their ability to interact with their surroundings and each other autonomously is critical for future operations. Traditional methods relying on signals or inertial sensors face significant limitations such as interference, jamming, and drift. This research focuses on developing a computer vision-based solution to overcome these limitations. A novel pipeline, termed relative vectoring, is introduced, which utilizes dual object detection and machine learning to estimate relative positions …


Optimal Placement Of Artificial Hair-Cell Airflow Sensors For Bioinspired Flight-By-Feel, Alex C. Hollenbeck Sep 2024

Optimal Placement Of Artificial Hair-Cell Airflow Sensors For Bioinspired Flight-By-Feel, Alex C. Hollenbeck

Theses and Dissertations

The Sparse Sensor Placement Optimization for Prediction (SSPOP) algorithm reduces highdimensional airflow data to a low-dimensional sparse approximation to identify an optimal placement for any number of sensors on airfoil or wing models of arbitrary shape and size, and outperforms conventional optimization techniques in accuracy and speed. For 2D flow this algorithm found a sensor placement solution (design point, or DP) which predicts AoA to within 0.10 degrees and ranks within the top 1 percent of the design space. On 3D wing models SSPOP found four-sensor DPs ranked well within the top 0.10 percent. Experimental validation with velocity and pressure …


Guidance, Navigation, And Control For Multi-Agent Inspection Of An Unknown Space Object, Mark R. Mercier Sep 2024

Guidance, Navigation, And Control For Multi-Agent Inspection Of An Unknown Space Object, Mark R. Mercier

Theses and Dissertations

On-orbit inspection is a rapidly growing mission that enables extending the life of aging legacy space systems through refueling, replacing, or upgrading components. For an inspection operation, multiple agents taking observations simultaneously can more quickly map an RSO and assure an inspection is complete regardless of RSO dynamics. A multi-agent guidance, navigation, and control (GNC) scheme must be designed with cooperation in mind to achieve inspection objectives, while leveraging the unique capabilities of a distributed inspection system. This work splits the GNC system into two parts composed of an offline guidance scheme for translational reference trajectory generation and an online …


Improving Military Medical Evacuation System Performance Via Stochastic Optimization, Virbon B. Frial Sep 2024

Improving Military Medical Evacuation System Performance Via Stochastic Optimization, Virbon B. Frial

Theses and Dissertations

This research highlights the importance of improving the performance of military medical evacuation systems to reduce the risk of permanent disability or death among service members in deployed environments. We employ a range of stochastic optimization techniques relating to integer programming, Markov decision process, approximate dynamic programming, and machine learning, as appropriate, to gain insights into factors that contribute to improving system performance.


Toward Adaptive And Modular Joint Multi-Domain Operational Planning, Kyle S. Wilkinson Sep 2024

Toward Adaptive And Modular Joint Multi-Domain Operational Planning, Kyle S. Wilkinson

Theses and Dissertations

This research develops a multiparametric optimization framework for modeling joint multi-domain operational planning under uncertainty. We address the application of our framework to model the doctrine of adaptive planning. We apply set-based design, which is a program management practice of maintaining maximal design options through time as a response to epistemic uncertainty. We couple this with a multiparametric optimization method yielding both sets of solutions and sensitivity profiles. We use the sensitivity profiles to quantify risk associated with changes during adaptive planning. This research also models features of military operational planning via the mathematics of category theory. We formalize intuitive …


An Analysis Of Electrical Energy Resilience Technologies As Applied To Air Force Operations, Eric D. Danko Sep 2024

An Analysis Of Electrical Energy Resilience Technologies As Applied To Air Force Operations, Eric D. Danko

Theses and Dissertations

An analysis of 46 Resilient Energy Devices and Technology Concepts was conducted to determine their suitability for use in supporting Air Force Operations both at home station and abroad. The research consisted of two endeavors: an extensive literature review and a rank-ordering matrix. The dual nature of the efforts was designed to maximize usability and understanding for the End User, who may not be familiar with some principles of energy technologies, resilience, or design. The results showed the superiority of novel Solid (Metal) Fuels and Lead-Acid Batteries for Energy Storage and Thermoelectric Generators, Solar Photovoltaic Panels, Geothermal Extraction, Diesel Generators, …


Heuristic Design Of Cislunar Space Situational Awareness Architectures, Jacob A. Dahlke Sep 2024

Heuristic Design Of Cislunar Space Situational Awareness Architectures, Jacob A. Dahlke

Theses and Dissertations

The growing interest in the cislunar domain, which encompasses geosynchronous Earth orbit (GEO), the Moon, and the region where Earth-Moon gravitational effects are the primary influence, necessitates the development of tools to ensure safe and successful exploration. Space situational awareness (SSA) involves monitoring an environment to detect, track, identify, and catalog space objects. While most SSA experience comes from near-Earth operations, expanding into the cislunar domain presents significant challenges due to its vast expanse—greater than 10 times the radius of GEO—and the unique dynamics governed by the Circular Restricted Three-Body Problem (CR3BP) influenced by both Earth and Moon gravitational forces. …


Generation And Implementation Of Mixed Radiation From Laser Interactions On A Liquid Target, Benjamin M. Knight Sep 2024

Generation And Implementation Of Mixed Radiation From Laser Interactions On A Liquid Target, Benjamin M. Knight

Theses and Dissertations

The simultaneous generation of different forms of radiation from the same source is highly desirable but technically challenging. We present the generation of D-D fusion neutrons and >MeV-energy x-rays from extreme intensity (∼ 1019 W/cm2 ), high repetition-rate (1 kHz) laser pulses on a thin liquid target. Total neutron fluxes of ∼ 105 neutrons/s and x-ray exposure rates up to ∼ 200 R/hr at 74 cm are measured. Evidence of D-D fusion is verified with a measurement suite including three independent neutron detection systems: an EJ-309 organic scintillator, a 3He proportional counter, and a set of 36 …