Digital Commons Network^™

A Causal-Comparative Study Between The Aeronautical Decision-Making Skills Of Collegiately And Non-Collegiately Trained Private Pilots, Karl P. Winters

Doctoral Dissertations and Projects

The purpose of this quantitative causal-comparative design study was to examine the relationship between private pilots’ flight training background (collegiate or non-collegiate) and aeronautical decision-making (ADM) skills among recently certificated private pilots enrolled in a commercial pilot flight training course at a Part 141 flight training program in a large, private, mid-Atlantic university. The problem is that although deficient ADM is a known major contributor to fatal general aviation (GA) accidents, it is unknown if there is a difference in the ADM skills of collegiately and non-collegiately trained private pilots. This study, built on the framework of dual-process theory and …

New York City Misses The Exit To Traffic Safety, Joseph Caffrey

Capstones

New York City Misses the Exit to Traffic Safety investigates New York City’s mounting traffic violence crisis through the lens of a devastating crash that killed a Brooklyn mother and her two daughters. It examines the city’s inconsistent enforcement of reckless driving and the failure of the Dangerous Vehicle Abatement Program (DVAP), which aimed to reform recidivist speeders. The piece investigates the imperfections of Vision Zero, public backlash to automated enforcement, and the broader failure to prevent recidivist speeding. It also explores policy alternatives like Intelligent Speed Assistance (ISA), highlighting legislative efforts to revive accountability and save lives, while advocating …

Leveraging Reduced Order Models And High-Fidelity Simulations For Efficient Multifidelity Uncertainty Quantification Of Thermal Systems, Jakob G. Bates

Theses and Dissertations

Simulation-led design is becoming an important part of thermal systems design. Simulations of thermal systems continue to improve in their fidelity, but this comes with an increased computational cost. Additionally, uncertainty in simulation inputs, such as thermophysical properties, leads to uncertainty in simulation outputs. For simulations to be used rigorously for simulation-led design, this uncertainty must be quantified. Performing uncertainty quantification on thermal simulations is made difficult by their many uncertain parameters and high computational cost. Multifidelity uncertainty quantification is a set of methods that reduce the cost of uncertainty quantification by leveraging high-fidelity, high-cost simulations with low-fidelity, low-cost simulations. …

Functionalizing Polyethersulfone Membranes: Using Nmr To Avoid Pitfalls When Using Uv-Induced Polymerization To 'Graft From' Surfaces, Priyanka Suresh, Megan M. Sibley, Amy C. Che, Christine E. Duval

Faculty Scholarship

For nearly 30 years, UV-induced free radical polymerization has been used to modify the surface chemistry of polyethersulfone (PES) membranes, films, and coatings. The initial mechanism for the grafting process was introduced in the 1990s and supported without direct evidence of covalent bond formation. Since then, claims of ‘grafting from’ membranes in the literature rely on similar evidence using a combination of gravimetry, attenuated total reflectance infrared spectroscopy, contact angle goniometry, water sorption, and/or water permeance. While these techniques provide evidence of the presence of a polymer coating, they do not provide direct evidence of covalent bond formation between the …

The Hecks Angels: A Look At The City Of New York's Electric Motorcycle Community, Mckenzie A. Corey

Capstones

Motorcycles are a common mode of transportation globally, but within the U.S., they tend to imply a certain demeanor—maybe someone who's brash or a risk taker. I mean, it makes sense. You've got to be a bit daring to ride off into the sunset on something that screams when it shifts gears and begs to be revved at a red light. But in New York City electric motorcycle enthusiasts appear to have slapped a fresh coat of paint on the old concept of what it means to live a life on two wheels.

Detecting And Analyzing Frequency Events In Power Systems Using Tunable Parameters-Based Algorithms: Development, Optimization, And Analysis, Hussain A. Alghamdi

Dissertations and Theses

This dissertation addresses the challenge of detecting frequency events in diverse power systems by enhancing existing frequency event detection methods through detection process modifications and developing unique tunable parameters. Since system characteristics differ across regions, frequency event detection algorithms must be customized by domain experts for each balancing area using tunable parameters. By optimizing these parameters for specific power system, the algorithms can accurately detect frequency events and can also be used for further analysis to determine trends in frequency events over time, ensuring system stability.

This dissertation focuses on the enhancement and optimization of frequency event detection algorithms. These …

Optimizing The Sustainability Of Asphalt Pavements Through Incorporating Crumb Rubber In High-Modulus Asphalt Concrete (Hmac) Mixtures In Louisiana, Heena Dhasmana, Marwa Hassan, Mohamed Abdelmageed

Publications

Asphalt mixtures are traditionally produced using the Superpave mix design method, which emphasizes volumetric properties; however, current research is shifting toward performance-based and sustainable approaches. Within this context, the French High Modulus Asphalt Concrete (HMAC) design focuses on achieving specific performance criteria for workability, stiffness, rutting resistance, and fatigue behavior, employing a hard binder with higher asphalt content and fewer air voids than Superpave mixes. In this study, HMAC mixtures were developed using crumb rubber and locally sourced Louisiana materials. Five HMAC mixes using PG 76-22 and PG 67-22 binders with 10% and 20% crumb rubber were prepared, along with …

Reliability Of Cazro3 And Mgo Capacitors At High Temperatures, Alan Devoe, Hung Trinh, Fatih Dogan

Materials Science and Engineering Faculty Research & Creative Works

Calcium zirconate and magnesium oxide have both been found to have useful dielectric properties at high temperatures. Multilayer ceramic capacitors (MLCCs) were made with these dielectrics and platinum electrodes. The relationship between the lifespan (mean-time to failure) and applied voltage was determined using Weibull statistics. CaZrO₃ capacitors were tested between 550◦C and600◦C while MgO capacitors were tested between 600◦C and 650◦C. The temperature coefficient Ea and the voltage coefficient n of the Prokopowicz Vaskas equation were determined under various test conditions. Activation energiesforcalciumzirconateandmagnesiumoxidewere3.25eVand3.48eV, respectively. Resistance degradation of CaZrO₃ and MgO capacitors, tested at 600◦Cand250V, were compared.

Extreme Bandgap Polarization Doped Algan Layers On Bulk Aln For Pn-Diodes With An 8.5 Mv Cm−1 Breakdown Field And Forward Current Density Exceeding 20 Ka Cm−2, Tariq Jamil, Abdullah Al Mamun Mazumder, Muhammad Ali, Mafruda Rahman, Kenneth Stephenson, Grigory Simin, Asif Khan

Faculty Publications

In this paper we present a study of distribution polarization doped Al_xGa_1−xN layers and their use in quasi-vertical configuration pn-diodes which exhibited a high breakdown field of ∼8.5 MV cm⁻¹ and a large forward current density (∼23 kA cm⁻²). We also establish their potential use in UVC light emitters by studying the optical emission from a quantum well inserted at the distribution polarization doped pn-junction interface.

Development And Evaluation Of A Simple Human Body Link Model Considering The Degrees-Of-Freedom Of Shoulders, Mizuki Takeda, Yuki Saito, Kaiji Sato

Progress in Scale Modeling, an International Journal

Modeling of the human body is widely utilized in the field of human–robot interaction, warranting the development of a simple model to measure and recognize the human body movements. To this end, a two-dimensional (2D) human body link model in the sagittal plane has been used to represent the human body with rotating joints and links connecting these joints. The joint positions can be determined by using the coordinates of a limited number of points on the links and estimated using a few sensor outputs when the links are of constant length. However, models with constant link lengths may result …

The Rapid Detection Of Foreign Fibers In Seed Cotton Based On Hyperspectral Band Selection And A Lightweight Neural Network, Yeqi Fei, Zhenye Li, Dongyi Wang, Chao Ni

Biological and Agricultural Engineering Faculty Publications and Presentations

Contamination with foreign fibers-such as mulch films and polypropylene strands-during cotton harvesting and processing severely compromises fiber quality. The traditional detection methods often fail to identify fine impurities under visible light, while full-spectrum hyperspectral imaging (HSI) techniques-despite their effectiveness-tend to be prohibitively expensive and computationally intensive. Specifically, the vast amount of redundant spectral information in full-spectrum HSI escalates both the system's costs and processing challenges. To address these challenges, this study presents an intelligent detection framework that integrates optimized spectral band selection with a lightweight neural network. A novel hybrid Harris Hawks-Whale Optimization Operator (HWOO) is employed to isolate 12 …

Design Of A Subthreshold Cmos Inverter-Based Amplifier For Low-Noise And Low-Power Applications, Landon Alexander Schmucker

Electrical and Computer Engineering ETDs

Amplification is a fundamental function in most analog circuits. There is a fast-growing demand for low-power, low-noise, and high-gain amplifiers. Modern semiconductor processes are increasingly optimized for digital applications, which has introduced new challenges in analog design. To address these challenges, analog designers have investigated replacing conventional analog circuits with digital implementations. One promising application is the typical CMOS inverter as an amplifier.

This research presents a CMOS inverter-based amplifier with feedback designed to achieve low power consumption, low input noise, and high gain. Unlike typical CMOS inverter-based amplifiers, this topology has two distinctive features: (1) it uses a MOSFET …

Enhancing Water Supply Resilience & Sustainability: Potential Solutions To Address Water Scarcity In Bogotá, Colombia, Sophia Alvarez Wong

Master's Projects and Capstones

Municipal water utilities are in urgent need of adapting to the intensifying impacts of climate change and population growth—key drivers of urban water scarcity worldwide. In rapidly expanding cities like Bogota, Colombia, these pressures have contributed to a severe water crisis driven by prolonged droughts, ecosystem degradation, increasing water demands, and overdependence on limited water sources. This study explores potential adaptation and management strategies that utilities can implement to sustainably strengthen supply system resilience and enhance water security, in the context of low- to middle-income regions. A series of comparative and case study analyses were conducted to assess the feasibility …

Aerial Robotic Studies Of Volcanic Co2 Emissions, John Ericksen

Computer Science ETDs

Volcanic systems are inherently complex, involving dynamic interactions among magma flow, gas emissions, and atmospheric dispersion. This dissertation focuses on developing and analyzing autonomous UAS algorithms for efficiently surveying volcanic CO2 plumes, introducing several novel methods: the LoCUS algorithm, a swarm coordination and self-healing algorithm that supports gradient-based plume tracking, a transect-based technique that employs a 2D Gaussian fit to calculate CO2 plume flux, and the Sketch algorithm for rapid plume boundary tracing. By treating multiple UAS as a single scientific instrument, these methods leverage swarm algorithms to use in-situ data in ways impossible with individual drones. Validated through simulations …

A Fine-Tined Bert Model For Improved Querying Of The Unmanned Aerial System Integration Safety And Security Technology Ontology, Minh Hong To

Theses and Dissertations

The use of unmanned aerial vehicles (UAS) in all industries is steadily increasing every year. To govern the use of UAS, the Federal Aviation Administration (FAA) seeks to provide a foundation of rules and regulations for UAS operation in the National Airspace System (NAS). The UAS Integration Safety and Security Technology Ontology (ISSTO) was developed using the Web Ontology Language (OWL) in 2023. In 2024, a query application was developed to search ISSTO for information about the safety and security of UAS operations. While the application is functional, the search results can be further fine-tuned to match what the user …

Frontlines Of Influence: State Vs. Nonstate Disinformation Campaigns, Lily Wershbale

Cybersecurity Undergraduate Research Showcase

This paper examines the evolution of disinformation campaigns conducted by state and nonstate actors, focusing specifically on Russia and the Islamic State as representative case studies. Through historical examples and qualitative comparative analysis, this research identifies the similarities and differences in disinformation’s role in actors’ core missions, resource allocation, and targeting decisions. This paper further explores the implications of artificial intelligence on disinformation campaigns, investigating how emerging technology will impact the influence operations of state governments and nonstate organizations alike. The findings reveal that while the ultimate intent of both state and non-state actors is to destabilize societies, their approaches …

Instability-Driven Phase Separation For Quantum Structure Formation In Iii-V Semiconductors, Leonid Miroshnik

Chemical and Biological Engineering ETDs

High temperature phase instability limits the performance of III-V zinc blende semiconductor devices. A technique using an encapsulant and sacrificial layer is developed to reduce thermal degradation by group V sublimation during thermal processing of InGaAs/GaAs structures. This technique is successful in preventing As sublimation and preserving an atomically smooth surface required for surface-sensitive characterization. The degradation of the GaAsSb/InP interface by phase separation is studied. Significant interdiffusion and intermixing occurs due to the formation of a molten InSb at the interface. The intermixing is driven by phase separation and melting of the InSb interfacial layer that enhances atomic mobility. …

Efficient Wattle Design For High-Level Nuclear Waste Tanks, Jasmine B. Clarke

UNLV Theses, Dissertations, Professional Papers, and Capstones

At the Hanford Site in Washington state and the Savannah River Site in South Carolina, there are underground steel tanks that hold high-level nuclear waste (HLW) and nearly 450 million curies of radioactivity. At these sites, some leaks have been detected in HLW tanks. While detecting these leaks allows for identification of the issue, it does not solve the problem or prevent the leakage of HLW contaminants into collection pans and secondary containment. Repairing these leaks poses potential threats to workers for exposure risk. To address this issue, the present research seeks to create and utilize an active barrier in …

Mfgat: Map-Free Trajectory Prediction With Graph Attention Networks For Autonomous Vehicles, Zehra Gunindi

UNLV Theses, Dissertations, Professional Papers, and Capstones

Accurate trajectory prediction is a key component for ensuring safe and efficient navigation of autonomous vehicles in complex traffic scenarios. While traditional methods rely heavily on high-definition (HD) maps, these approaches face significant challenges, including high costs, limited availability, and susceptibility to rapid obsolescence. This thesis proposes an end-to-end, map-free trajectory prediction model that leverages Graph Attention Networks (GAT) to dynamically capture spatial-temporal interactions among road agents, eliminating the need for HD maps.The research introduces UNLVTraj, a novel LiDAR-based dataset collected around the University of Nevada, Las Vegas campus, specifically along Cottage Grove Street, Harmon Avenue, and Maryland Parkway. This …

Improved Electric Load Modeling Of Residential Air Conditioning, Julius Johnson

UNLV Theses, Dissertations, Professional Papers, and Capstones

The recent increase in energy production from renewable resource introduces a new challenge in managing and maintaining balance between electricity supply and demand, due to uncertainty and variability of wind speed and solar irradiance. To address this growing problem, demand-side management, such as Demand Response (DR) programs, is employed to adjust power consumption. Residential air conditioners (ACs) are the most suitable candidates for DR, due to their intensive power consumption and inherent thermal inertia that allows flexibility in their operations (by adjusting their set-point temperatures) without sacrificing customer comfort. Most prior research on AC load models assumes that such a …

El, A Navigational Assistant Based Upon Echolocation, Arthur Mazer

UNLV Theses, Dissertations, Professional Papers, and Capstones

This thesis investigates the integration of a parametric speaker with a microphone array to enhance the echolocation of objects. A parametric speaker focuses ultrasonic and audible waves in a specified direction. This endows the parametric speaker with the capacity to focus waves across a wide frequency spectrum enabling adaptation of the frequency to environmental considerations.Beam forming allows one to focus a microphone array in a specified direction. The thesis investigates different microphone array configurations for the purpose of enhancing the echolocation ability of an echolocation device. The primary goal of the thesis is the construction and testing of an echolocation …

Analysis Of Incident Duration And Real-Time Incident Delay Estimation Using Big Data Analytics And Machine Learning Techniques, Zhubin Najafi

UNLV Theses, Dissertations, Professional Papers, and Capstones

Traffic incidents have a significant impact on freeway operations, leading to severe delays, congestion, fuel wastage, and economic losses for commuters. Each year, billions of gallons of fuel are wasted, and drivers incur thousands of dollars in lost time due to incident-related delays. To mitigate these effects, Traffic Management Centers (TMCs) implement incident management strategies aimed at reducing both the frequency and severity of incidents while ensuring their prompt and safe clearance.

Dynamic Message Signs (DMSs) are key tools used by TMCs to communicate travel times and incident information to commuters. Under normal conditions, default travel times are displayed on …

Investigating Decision Factors For Modularization And Standardization Decision On Early Project Phase: Qualitative Comparative Analysis, Amrit Shahi

UNLV Theses, Dissertations, Professional Papers, and Capstones

Modularization involves shifting site-based work to offsite locations to enhance overall productivity, reduce costs, shorten schedules, and improve project competitiveness. By developing and utilizing consistent designs, facility standardization further optimizes project schedules, costs, and value. When combined, they create a leveraging opportunity, as seen in the shipbuilding and manufacturing industries. While both strategies offer significant advantages, capital projects struggle to have a well-informed modularization and standardization decision during the early project phase (i.e., Opportunity Framing). This often results in improper implementation and lower modularization and standardization levels. The main cause for this is the industry’s limited understanding of early-phase high-level …

Elevating Education: Leveling Up Individual Learning Plans, Maximum Mgrdich-Ararat Sirabian

UNLV Theses, Dissertations, Professional Papers, and Capstones

This three-article dissertation investigated the effectiveness, implementation quality, and automation of Individual Learning Plans (ILPs) in promoting college and career readiness. Article 1 analyzed High School Longitudinal Study of 2009 data and found that ILPs did not significantly guide course alignment. Article 2 examined ILP implementation across Nevada high schools, revealing inconsistent quality, limited standardization, and few culturally responsive practices. These findings informed the creation of a new high-quality ILP framework. Article 3 employed a convergent parallel mixed methods design to assess an automated ILP prototype based on this framework. Participants in the automated group reported significantly higher scores in …

Developments On Abbreviations Towards Machine Reading Comprehension, Sing Choi

UNLV Theses, Dissertations, Professional Papers, and Capstones

Machine reading comprehension is a critical step in development of applications that require the semantic understanding of human speech-to-text driven work. Many devices such as smart home appliances like the Amazon Echo Dot, Google Home, or smart assistants like Apple Siri or Microsoft Cortana are examples of these applications. The comprehension task involves a deeper understanding and recognition of named entities such as person names, locations, medicals codes, quantities, abbreviations, and acronyms in speech or text data. In this dissertation, we explore and extend the different approaches and techniques in modern research that tackles the problem of recognition and definition …

An Edge Computing Device Optimized And Transfer Learning Enhanced Deep Learning Model For Detecting Wildfire Flame And Smoke, Giovanny Vazquez

UNLV Theses, Dissertations, Professional Papers, and Capstones

The integration of autonomous unmanned aerial vehicles (UAVs) with edge computing technology and deep learning (DL)-based object detection offers a groundbreaking solution for real-time wildfire detection, enabling rapid data processing directly on devices and minimizing response delays in critical scenarios. However, although showing early promise, performance is often constrained by limited training data and edge computing devices that lack graphics processing unit (GPU) acceleration. This thesis seeks to address these limitations in two stages.First, this work explores the transformative potential of Transfer Learning (TL) to enhance wildfire object detection model accuracy while also investigating TL’s impact, for DL-based object detection …

High Dynamic Range Actively Quenched Silicon-Germanium Single-Photon Avalanche Diodes, Abraham Castaneda

UNLV Theses, Dissertations, Professional Papers, and Capstones

Single-photon avalanche diodes (SPADs) are solid-state devices capable of providing large current pulses in the milliampere range in response to incident photons. The large gain inherent to SPADs makes them a popular technology for photon-counting applications, but their operation can be hindered by long recharge times, which necessitates the use of active quenching to reduce dead times and increase detection rates. For the prompt gamma/neutron radiation experiments conducted at the Nevada National Security Site, photomultiplier tubes (PMTs) have been the primary photodetector of choice, but their continued use is expected to dwindle as it becomes increasingly difficult to source quality …

Effect Of Coarse Aggregate On The Stability And Mechanical Performance Of Ultra-High Performance Concrete (Uhpc), Rui Zhong, Mingyan Pan, Hongyu Wu, Zhao Cheng, Jianzhong Liu, Jingquan Wang, Yiming Yao, Hongyan Ma

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The effect of coarse aggregate (CA) on the stability and mechanical performance of ultra-high-performance concrete (UHPC) was investigated. To assess UHPC stability, a unique approach was developed that utilizes specially fabricated large specimens with a depth of 400 mm. It overcomes the drawback of limited CA migration distance using small specimens, which may not replicate conditions relevant to structural applications. The spatial distributions of various constituents along the vertical casting direction were quantified through image processing technology. Results showed an approximately 12 % reduction in CA content in the top layer, while the bottom layer exhibited 12 % more CA …

Bell Telephone System’S Preeminent Role In The Growth Of Industrial Design, Ralph O. Meyer, Russell A. Flinchum

Purdue University Press Books

Histories of design pay scant attention to the corded telephone, which played an immeasurable role in early communication. Although the Bell System, with many Nobel Prizes, is justly acknowledged for its technical prowess, it should also be recognized for its early and considerable impact on the developing discipline of industrial design. In 1930, young Henry Dreyfuss, who would later become known as a pioneer of industrial design, was retained by the Bell System as a design consultant and matured in that environment. With substantial input from Bell System engineers, Dreyfuss and his staff produced attractive telephone designs that were manufactured …

Predicting Battery Levels Of Sensor Nodes Using Reinforcement Learning In Harsh Underground Mining Environments, Manish Anand Yadav, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong

Computer Science Faculty Research & Creative Works

Underground mining is a hazardous environment, with frequent accidents leading to significant loss of life each year. To enhance safety, sensor nodes monitor key environmental factors such as temperature, toxic gases, and miners' locations, as well as transmit critical messages. Miners interact with these sensors, which track their movements, enabling their location to be determined even without GPS signals. Therefore, predicting the battery life of these sensors is essential for: (i) rerouting miners during emergencies, (ii) ensuring timely maintenance, and most importantly (iii) identifying sensors that need energy harvesting to maintain vital communication within the mine. In this work, we …