Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons™

Open Access. Powered by Scholars. Published by Universities.®

Theses/Dissertations

Discipline
Institution
Keyword
Publication Year
Publication
File Type

Articles 5821 - 5850 of 77763

Full-Text Articles in Engineering

Adaptive Screen Capture Video Analysis, Ugesh Egala Jul 2024

Adaptive Screen Capture Video Analysis, Ugesh Egala

Electrical and Computer Engineering ETDs

This thesis presents a system for analyzing student activities during class sessions to gain insights into the learning process. A dataset consisting of 14 screen recordings, with 2 videos labeled across two stages, was used for training, validation, and testing. The methodology employs adaptive sampling, initially at 10 frames per minute to identify active regions, followed by detailed analysis at 1 frame per second using OCR to detect typing activities through character changes. The results demonstrate over a 50% reduction in computational load while maintaining high accuracy in detecting student engagement. A total of 26 hours of screen capture videos …


Bio-Inspired Robotic Framework For Spatiotemporal Analyses In Environmental Monitoring Applications, Maliha Kabir Jul 2024

Bio-Inspired Robotic Framework For Spatiotemporal Analyses In Environmental Monitoring Applications, Maliha Kabir

Electrical Engineering Theses

Frequent fluctuations in the environment's temperature and climate significantly impact our crop fields. Floods and droughts occur in different places in different seasons, which is very unusual and affects the crops' health and productivity. During these calamities, they are also not able to monitor their crop fields. However, if it is possible by providing farmers with information about their fields' conditions like temperature, pressure, and soil moisture, we can help them assess environmental conditions for specific areas. This data can also aid farmers in determining the appropriate amounts of fertilizers and pesticides to apply to their crops and which crops …


Development And Operationalizing Of The Learning Experience Design Process To Create Integrated Stem Interventions, Vanessa Begat Jul 2024

Development And Operationalizing Of The Learning Experience Design Process To Create Integrated Stem Interventions, Vanessa Begat

LSU Doctoral Dissertations

Globally, the demand for people prepared to enter Science, Technology, Engineering and Math (STEM) careers is increasing. To help fill this demand, many formal and informal STEM educational interventions have been implemented in the K-12 domain. However, due to the lack of a clearly defined framework for documenting the nature and scope of the intervention (National Research Council, 2014), the interventions vary greatly in their success, sustainability, and replicability. This research is grounded in Educational Design Research and uses the principle of Learning Experience Design (LXD) to develop a framework for thoughtfully designing and documenting a STEM intervention. This framework …


On The Surface Topography Of Local Overheating And Plasma Formation Due To Initial Condition Perturbations Sourcing The Electrothermal Instability On High-Current-Density Conductors, Maren Whiting Hatch Jul 2024

On The Surface Topography Of Local Overheating And Plasma Formation Due To Initial Condition Perturbations Sourcing The Electrothermal Instability On High-Current-Density Conductors, Maren Whiting Hatch

Electrical and Computer Engineering ETDs

The electrothermal instability (ETI) is a Joule heating-driven instability that instigates runaway heating on conductors driven to high current density, altering the 3D evolution of the expansion and phase state. Most metals include complex distributions of imperfections (voids, resistive inclusions) which seed ETI. To simplify comparison with modeling and theory, experiments examined growth of ETI from various alloys of stainless steel as well as relatively void/inclusion free, 99.999% pure, diamond-turned, 1 mm-diameter aluminum rods. Aluminum surfaces included a variety of deliberately machined and well-characterized perturbations, including 10-micron-scale quasi-hemispherical voids, or “engineered” defects (ED), and sinusoidal patterns of varying wavelength and …


The Planning Strategy For Electric Vehicle Charging Stations In The Road Transportation Network Synchronized With The Distribution Network, Muthukannan S Jul 2024

The Planning Strategy For Electric Vehicle Charging Stations In The Road Transportation Network Synchronized With The Distribution Network, Muthukannan S

Theses and Dissertations

Electric vehicles (EVs) are recognized as a potentially effective solution to the environmental crisis and fuel deficit that modern metropolises are currently experiencing. Meanwhile, the expansion of EVs and their haphazard charging would negatively affect the road transportation network (RTN) as well as the electric distribution network (EDN). The proper infrastructure for the electric vehicle charging station (EVCS) will enhance the effective utilization of energy of both the networks.

This research work proposes a two-phase planning strategy for deploying Electric Vehicle Charging Stations (EVCS), considering both static and dynamic factors. The strategy uses a hybrid PSO-DS algorithm which is a …


Characterizing And Manipulating Intra-Die Performance Variation Of Fpgas And Its Application In Security, Hayden C. Cook Jul 2024

Characterizing And Manipulating Intra-Die Performance Variation Of Fpgas And Its Application In Security, Hayden C. Cook

Theses and Dissertations

Field Programmable Gate Arrays (FPGAs) are reconfigurable, high-performing devices that are often used in critical applications. However, like all semiconductors, FPGAs experience transistor aging that can lower performance and lead to device failures. Additionally, device aging also has several security implications. Therefore, understanding the aging mechanisms behind transistor aging is necessary to ensure the reliability of FPGAs. However, current aging studies either rely on simulation alone or are unable to isolate aging effects on specific elements within the FPGA. This dissertation uses the reconfigurability of FPGAs to develop novel aging techniques that allow for the targeted aging of specific areas …


Assessing Team Performance And Cohesion Of Isolated Multicultural Teams Using Digital Escape Rooms, Susannah J. Aronson Jul 2024

Assessing Team Performance And Cohesion Of Isolated Multicultural Teams Using Digital Escape Rooms, Susannah J. Aronson

LSU Doctoral Dissertations

History has shown that when multicultural teams are together for long periods of time, conflict can occur. When put in an isolated environment, these conflicts can become dangerous. This study looked at physically isolated multicultural teams through the lens of systems engineering and if a publicly available escape room video game could measure the team’s individual level team performance and cohesion. The author also evaluated the relationship between these success measures, cultural intelligence, and fusion collaboration. Results showed the escape room video game was a reliable and valid instrument to measure individual level team performance and cohesion. The validity correlation …


Pulsed Secondary Electron Yield Measurements Of Metallic And Dielectric Materials Of Interest For High Power Vacuum Electron Devices, Bilal Ahmed Malik Jul 2024

Pulsed Secondary Electron Yield Measurements Of Metallic And Dielectric Materials Of Interest For High Power Vacuum Electron Devices, Bilal Ahmed Malik

Electrical and Computer Engineering ETDs

Secondary electron emission (SEE) from conductors is thought to play an important role in the initiation of Multipactor breakdown in vacuum electron devices. The SEE of dielectric materials plays a crucial role in numerous scientific and technological applications, including particle accelerators, spacecraft charging, and plasma diagnostics. Additionally, the SEE of an insulator may depend on its electrical stress history. In both cases, SEE strongly depends on any conditioning of the material surface. We present measurements on both conducting and insulating materials of interest in these applications. Measurements are being made in an existing test stand, recently modified to enable measurements …


Investigating The Fatigue Life Of Asymmetric And Novel Helical Gear Drives, Rajesh S Jul 2024

Investigating The Fatigue Life Of Asymmetric And Novel Helical Gear Drives, Rajesh S

Theses and Dissertations

The present research work investigates the contact and bending fatigue life of asymmetric helical gear and novel helical gear based on the finite element analysis. In the first phase, the contact and bending fatigue life of the asymmetric helical gear drives is estimated based on the strain life approach.

Further, a parametric study is carried out to investigate the influence of important helical gear parameters such as module, pressure angle, helix angle, gear ratio, teeth number and face width on contact and bending fatigue life of asymmetric helical gear drives. It is noted that the asymmetric helical gear shows a …


Investigation Of Various Mimo Antenna For 5g Mobile Phone Applications, Rajesh Kumar D Jul 2024

Investigation Of Various Mimo Antenna For 5g Mobile Phone Applications, Rajesh Kumar D

Theses and Dissertations

The rapid progress of wireless communication systems has been driven by the persistent demand for higher data rates, improved connectivity, and seamless user experiences. The introduction of fifth-generation (5G) wireless technology introduces fresh challenges and possibilities within the domain of antenna design, particularly concerning Multiple-Input Multiple-Output (MIMO) systems operating in the sub-6 GHz frequency range. This thesis conducts a comprehensive exploration and conceptualization of MIMO antennas expressly crafted for smooth integration into mobile phones, with a particular emphasis on addressing the distinctive requisites of sub-6 GHz 5G communication.

The proposed antenna designs effectively harnesses the advantages inherent in multiple-input multiple-output …


Drop Dynamics And Heat Transfer During Dropwise Condensation On Superhydrophobic Surfaces, Shaur Humayun Jul 2024

Drop Dynamics And Heat Transfer During Dropwise Condensation On Superhydrophobic Surfaces, Shaur Humayun

Theses and Dissertations

As we seek to address the escalating demand for energy and water, superhydrophobic surfaces have gained the attention of researchers due to their potential to boost condensation heat transfer rates and improve efficiency across various applications. One way to significantly improve dropwise condensation heat transfer rate is to improve drop mobility. Water-repelling properties of superhydrophobic surfaces can help in reducing the size of condensed drops as they depart the surface, thus increasing drop refresh rates by increasing drop mobility. Accurate models of retention forces between drops and superhydrophobic surfaces are needed for predicting drop dynamics including drop mobility. Once drop …


High-Resolution Groundwater Modeling For Understanding Sparta-Memphis Aquifer Condition, Rafin Hasan Jul 2024

High-Resolution Groundwater Modeling For Understanding Sparta-Memphis Aquifer Condition, Rafin Hasan

LSU Master's Theses

The Sparta-Memphis aquifer is one of the major sources of domestic and industrial water supplies in the Mississippi Embayment region. However, besides altering the natural direction of flow, several serious complications such as elevated chloride concentration, significant water level decline, large cones of depression, and land subsidence have arisen from excessive groundwater consumption. To better understand the Sparta-Memphis aquifer condition, a high-resolution groundwater flow model for the Sparta-Memphis aquifer was developed in this study to assess groundwater availability and analyze aquifer responses to future groundwater withdrawal scenarios. For the development of the groundwater flow model, firstly about 3,700 electrical log …


Deep Learning For Multiple Unmanned Aerial Vehicle Coordination In Air Corridors, Liangkun Yu Jul 2024

Deep Learning For Multiple Unmanned Aerial Vehicle Coordination In Air Corridors, Liangkun Yu

Electrical and Computer Engineering ETDs

In the future, city skies will be filled with Unmanned Aerial Vehicles (UAVs) for rapid urban transport, including parcel deliveries and air taxis. NASA's Urban Air Mobility (UAM) envisions UAVs navigating air corridors. These virtual pathways ensure safety and compliance with regulations. However, current research on UAM practical applications is limited. This dissertation focuses on designing air corridors, developing UAV control systems, and ensuring the robustness of control algorithms against disturbances in real-world environments.

Our design features an air corridor system with horizontal lanes and on-off ramps, conceptualized as cylindrical spaces and tori, respectively. To enable each UAV to locally …


Robust Quantitative Photoacoustic Imaging For Colorectal Cancer Treatment Monitoring, Sitai Kou Jul 2024

Robust Quantitative Photoacoustic Imaging For Colorectal Cancer Treatment Monitoring, Sitai Kou

McKelvey School of Engineering Graduate Student Theses & Dissertations

Colorectal cancer is the 2nd leading cause of cancer death in the United States and the incidence among population under 50 years old has been increasing for the past decade. Contrary to obvious vascular and morphological structures in pre-treatment colorectal cancer, during treatment and post-treatment colorectal cancer tissue often contains fibrosis and edema in tumor bed. These complications cause difficulties in evaluating tissue response to neoadjuvant chemoradiation therapy with MRI and endoscopy, leading to unnecessary resection of rectum, which increases healthcare cost and impacts patient quality of life. Photoacoustic (PA) imaging is a promising tool for observing blood distribution in …


Design And Implementation Of Truly Random Number Generation Using Memristors For In-Memory Computing, Nick Felker Jul 2024

Design And Implementation Of Truly Random Number Generation Using Memristors For In-Memory Computing, Nick Felker

Theses and Dissertations

This paper proposes a new security module based on non-volatile memory. The module uses a memristor-based true random number generator to generate random numbers which can be used for cryptography. The module is implemented in software using a modified RISC-V instruction set architecture. The paper evaluates the performance of the module using the RISC-V simulator Gem5. The results show that the module can generate random numbers at a rate of 63 microseconds per number, which is faster than the standard C library’s random number generator. The module can also be used to scramble strings of characters and generate hashes of …


Reconfigurable Metasurface For 5g & Beyond Wireless Communication, Monisha S Jul 2024

Reconfigurable Metasurface For 5g & Beyond Wireless Communication, Monisha S

Theses and Dissertations

The potential new applications and increasing demands of future 5th generation (5G) and beyond wireless communication indicate a promising future for mobile communications. However, the transmission medium has traditionally been seen as an unpredictable factor between the sender and receiver. As we enter the digital era of wireless communications, signal quality is deteriorating due to environmental interferences.

With the continuous advancement of technology, there is an increasing need for advanced solutions that can handle complex applications such as haptic communications, the Internet of Things for smart cities, automation, and manufacturing. One technology that has received much attention is the reconfigurable …


Design Of A Satellite Tracking Mobile App Using Flutter And Android Studio Ide, Audrey Tahwa Jul 2024

Design Of A Satellite Tracking Mobile App Using Flutter And Android Studio Ide, Audrey Tahwa

USF Tampa Graduate Theses and Dissertations

A pop-up free mobile application was developed utilizing one-minute intervals for positiontracking. Predictions are conducted off-line after the user has connected at least once. In In order to enhance data accuracy, the application includes a feature to download satellite data and update raw data to be used in prediction calculations. Additionally, users receive a notification when the application is ready for offline use.


Automated Concrete Bridge Deck Inspection Using Unmanned Aerial Systems Collected Data: A Machine Learning Approach, Rojal Pokhrel Jul 2024

Automated Concrete Bridge Deck Inspection Using Unmanned Aerial Systems Collected Data: A Machine Learning Approach, Rojal Pokhrel

Master's Theses

Many national infrastructures, particularly bridges, are becoming older and older day by day. Their safe operation and maintenance require routine monitoring and inspection. There are lots of bridge inspection specifications and manuals to guide inspectors to give the proper recommendations about the bridge structure and safety. These manuals and specifications require bridge inspectors to manually inspect the bridge and recommend maintenance and repair tasks referring to the specific criteria available in the manuals. In time, the application of technology makes many Unmanned Aerial Systems (UAS) advancements during the phase of data collection. For the image processing and analysis of collected …


Closing The Phosphorus Loop With Green Infrastructure: Removal And Recovery Using Amended Soils And 3d-Printed Material, Colin Wilson Jul 2024

Closing The Phosphorus Loop With Green Infrastructure: Removal And Recovery Using Amended Soils And 3d-Printed Material, Colin Wilson

Dissertations (1934 -)

Phosphorus (P) is a life-essential element aiding the deterioration of water quality. Stormwater runoff transports nonpoint source P pollution to waterbodies, contributing to excessive P loading which may result in eutrophication. Green infrastructure (GI) is implemented to solve stormwater runoff pollution, but the P removal performance of these systems is variable. Moreover, P is arguably being unsustainably mined for fertilizer production and animal feed supplements to support demand from increasing global populations. This dissertation explored advancing the circular P economy utilizing additive manufacturing and GI soil amendments to remove and recover P from stormwater runoff. Laboratory-scale batch experiments were used …


An Experimental Study On Mixed Hydrocarbon Gas On Transport Through Subsurface And Atmospheric Interfaces With Application To Natural Gas Pipline Leak Dection And Quantification, Richard Kolodziej Jul 2024

An Experimental Study On Mixed Hydrocarbon Gas On Transport Through Subsurface And Atmospheric Interfaces With Application To Natural Gas Pipline Leak Dection And Quantification, Richard Kolodziej

Civil and Environmental Engineering Theses and Dissertations

Natural gas (NG) production and usage as a fuel source have surged in recent years, becoming a critical component of the global energy system and requiring extensive belowground pipeline infrastructure. Leaks in belowground pipelines release fugitive methane (CH4) emissions, posing significant environmental, safety, and economic risks. Effective leak detection and quantification (LDAQ) methods are essential for identifying and measuring leaks to enable timely repairs and accurately address these threats. However, few studies have characterized the effectiveness of current and advanced LDAQ survey methods for belowground NG pipelines, with existing work often limited to technology-centric evaluations or studies of …


Formula Integrated Monocoque Development, Hayden Wagner, Aaron Fang, Elijah Schulz, Carson Smith Jul 2024

Formula Integrated Monocoque Development, Hayden Wagner, Aaron Fang, Elijah Schulz, Carson Smith

Mechanical Engineering

Every year the Cal Poly Racing FSAE club set out to create two separate race cars to compete in the upcoming formula combustion and formula electric competitions. Both the combustion and electric formula cars operated on the same vehicle platform with the powertrain systems being the main difference between the two cars. Cal Poly Racing FSAE is the only school in California to run a full carbon fiber monocoque chassis, with each chassis design operating on a roughly four year design cycle. A new FSAE senior project team has set out to improve upon the previous chassis design as the …


Machine Learning Approaches To The Exploration Of Ammonia Synthesis Catalysts Utilizing Experimental Data, Rasika Jayarathna Jul 2024

Machine Learning Approaches To The Exploration Of Ammonia Synthesis Catalysts Utilizing Experimental Data, Rasika Jayarathna

Theses and Dissertations

Traditional heterogeneous catalyst discovery process relies upon human expert-guided experiments based on domain knowledge and human intuition supported by catalyst characterization. However, this process is time and resource-consuming and suffers from human bias. Machine learning (ML) models trained on experimental data have the potential to significantly accelerate this discovery process by guiding experiments to optimize the catalyst performance and increase the understanding of the catalysts. Ammonia synthesis catalysts are a class of catalysts widely investigated in the literature, which has generated decades of experimental data. Moreover, ammonia has been gaining attention since it can be used as a carbon-free next-generation …


New Improvements To Defend Against Power Analysis Attacks In Ijtag Access Protocol, Haoran Wei Jul 2024

New Improvements To Defend Against Power Analysis Attacks In Ijtag Access Protocol, Haoran Wei

Computer Science and Engineering Theses and Dissertations

More and more instruments are now integrated on the chip for testing, debugging, monitoring, and post-silicon validation. IEEE Std 1687 (IJTAG) provides efficient access to these instruments. At the same time, techniques for an attacker to steal important data through the IJTAG network have also emerged. To improve the security of the IJTAG network and especially the communication between software and a board, others have proposed a security access protocol with several possible implementations based on an information hiding method. For example, one version of this previously published bidirectional authentication access protocol uses multiple templates to embed keys to improve …


Balloon Borne Gps-Enabled Radiosondes That Enable Simultaneous Multi-Point Atmospheric Sensing With A Single Ground Station, Peter A. Ribbens Jul 2024

Balloon Borne Gps-Enabled Radiosondes That Enable Simultaneous Multi-Point Atmospheric Sensing With A Single Ground Station, Peter A. Ribbens

Doctoral Dissertations and Master's Theses

Radiosondes are balloon borne atmospheric instruments that are a critical tool for understanding dynamics in the lower layers of the atmosphere. The low-cost radiosondes developed in the Space and Atmospheric Instrumentation Lab have been further developed to improve the system's use as a science-quality atmospheric instrument that is unique in its ability to simultaneously track multiple sondes with a single ground station. Sensors to measure temperature and pressure were added to improve measurements of the atmospheric state. A printed circuit board shield and 3D-printed shell were designed to make mass manufacturing possible. A thermistor-based temperature sensor was developed and tested …


Optimization Of A Plate Beam System For Energy Harvesting Using A Piezoelectric Material, Jose Manuel Almendros Espantaleon Jul 2024

Optimization Of A Plate Beam System For Energy Harvesting Using A Piezoelectric Material, Jose Manuel Almendros Espantaleon

Doctoral Dissertations and Master's Theses

With a continuously growing demand for power, driven by the need to reduce our environmental footprint, this research provides an examination of the potential of energy harvesting with smart materials technology and its practical applications. The energy harvesting system considered here works on generating energy through vibrations of a piezoelectric material beam which will undergo sustained vibrations due to flow of air over its surface. It is assumed that sustained limit cycle oscillations of this system will occur at the flutter velocity. This research creates an optimization framework to obtain the best values of parameters that will result in the …


Exploring A New Conceptual Framework In Aviation Maintenance Incident Reporting Using Natural Language Processing, Christopher P. Braun Jul 2024

Exploring A New Conceptual Framework In Aviation Maintenance Incident Reporting Using Natural Language Processing, Christopher P. Braun

Doctoral Dissertations and Master's Theses

In the analysis of human error incidents, human factors specialists predominantly follow two schools of thought in categorization strategies. One is to categorize the operator’s actions by the physical properties of the activity (phenotypes); the other focuses on the cognitive behaviors preceding the incident (genotypes). These categorization strategies are intended to foster an understanding of the events, identify risks, and assist in the implementation of risk reduction interventions. Commercial aviation maintenance presents unique challenges to human factor practitioners in terms of task requirements, working environments, communication modalities, and safety standards. Complex tasks are handed from one shift of personnel to …


Situation Awareness Assessment Of Enhanced Stable Approach Flight Instrument Displays, David J. Hunter Jul 2024

Situation Awareness Assessment Of Enhanced Stable Approach Flight Instrument Displays, David J. Hunter

Doctoral Dissertations and Master's Theses

Through the year 2022, runway-related events, including excursions, abnormal runway contact, and runway undershoot and overshoot, were the third leading causes of fatal aircraft accidents. Principal to these runway-related accidents was the presence of an unstable approach. Pilots currently must depend on the timely recall of stable approach criteria stored in long-term memory, application of those criteria against current flight conditions, perception and cognition of deviation from those criteria, and determination of potential courses of action. Such recall is fallible, and challenges to perception and cognition are ever-present.

This study examined whether the presentation of stable approach criteria boundaries and …


Assessing The Impact Of Spacecraft Fragmentation In The Cislunar Region, Marta Lopez Castro Jul 2024

Assessing The Impact Of Spacecraft Fragmentation In The Cislunar Region, Marta Lopez Castro

Doctoral Dissertations and Master's Theses

In the last decades, space missions have followed great advancements due to technological improvements and the extensive research developed in the field. Some of these missions are increasingly focusing on satellites orbiting the Moon. The Cislunar region is known to have a higher non-linear chaotic component in the dynamics compared to the low-Earth environment. This research is focused on studying the impact that a satellite explosion has in the Cislunar vicinity. The study is conducted for different periodic orbits that are key destinations for Cislunar traffic. By varying the initial conditions, simulations of explosions at different locations of the orbits …


Studying The Performance Of Object Recognition With Fusion Of Visible Light And Infrared Images With Neural Networks, Plamen Petkov Jul 2024

Studying The Performance Of Object Recognition With Fusion Of Visible Light And Infrared Images With Neural Networks, Plamen Petkov

Doctoral Dissertations and Master's Theses

Neural networks have been used for object detection and recognition in both color and intensity camera images. As the use of infrared cameras, colloquially termed thermal cameras, has increased and costs have decreased, object detection and recognition in infrared camera images have been increasingly studied. An infrared image is treated as an intensity image, just like a grayscale camera image, except the intensity corresponds to infrared radiation instead of visible light. The information provided by these two types of images are different, especially in different lighting and environmental situations, and some types of objects are more easily recognized in visible …


Refinement Of A Regional Storm Surge Mesh For High-Resolution Topographic Representation Of Volusia County, Morgan Harbin Jul 2024

Refinement Of A Regional Storm Surge Mesh For High-Resolution Topographic Representation Of Volusia County, Morgan Harbin

Doctoral Dissertations and Master's Theses

In 2022, Volusia and Flagler Counties of northeast central Florida were impacted indirectly by consecutive Hurricanes Ian and Nicole; the destabilization of dunes and armoring infrastructure caused by Ian left the region susceptible to Hurricane Nicole, which caused unprecedented coastal damage to dunes and seawalls. The extent of damage that occurred within Volusia and Flagler Counties during the 2022 hurricane season, the underrepresentation of this region within sustainability and resilience research, and the ecological, social, and economic value of the geography provide just cause for scientific inquiry of the area’s coastal dynamics. This thesis specifically describes an investigation of Hurricane …