Digital Commons Network^™

Investigating Key Challenges In Managing Inventories Of Spares In The Ev Sector, Keasav Ram R

Theses

Exploring the major issues in spare inventory management in the EV industry is the main purpose of the study. The current practices and challenges associated with inventory management of spares in the US EV sector have been investigated in this study. A "secondary qualitative data collection" method along with an exploratory approach has been utilised in this study to drive the study in a proper way to achieve a successful outcome. The collected data has been analysed in terms of using a thematic analysis. Objective and research questions specific themes have been generated to analyse the collected secondary data. It …

A Framework For Filtering Irrelevant Notams, Roudha Abdulrahman

Theses

The Notice to Airmen (NOTAM) system is essential for aviation safety, giving critical information on risks and operating limitations. However, the volume and complexity of NOTAM data complicate interpretation, which could compromise safety and efficiency. This study tries to address these issues by creating a predictive algorithm for analyzing NOTAM data and predicting whether to keep or remove them. The methodology combines effective machine learning algorithms to reveal insights that improve safety and operational efficiency. Using a dataset of NOTAM entries, multiple prediction algorithms are tested to forecast possible problems and enable proactive risk management. The study's findings help to …

Improving Automatic Refactoring Candidate Identification, Ryan Devoe

Theses

Extract method refactoring is pivotal for enhancing code readability, maintainability, and modularity by segmenting complex code into clearer, isolated methods. Identifying opportunities for such refactorings necessitates a deep understanding of the codebase’s evolution and its intricate relationships. Current methodologies utilize developer commit messages, advanced graph analysis, and diverse machine learning approaches to automate this identification process. This research delves into the application of deep learning-based Large Language Models (LLMs) to tackle the complexities inherent in extract method refactoring. We introduce innovative approaches, including the use of LLMs to cluster code blocks based on complex patterns and dependencies, and the analysis …

Unraveling The Role Of Asymmetry In Structural Porous Media On The Growth Of Fluid Fingers, Amir Ibrahim

Theses

Instabilities at fluid-fluid interfaces are ubiquitous in porous media, even at small flow rates. The growth of fluid fingers during fluid-fluid immiscible displacement in a porous medium results in partial saturation of the medium, and inefficiency in displacement has a tremendous economic impact on oil recovery, chemical reactors, and water filtration industries. In this study, we demonstrate that an inherent asymmetry in the structure of a porous medium controls the development of fluid fingers due to instabilities at fluid interfaces. We construct a 2D porous medium consisting of a matrix of triangles using soft lithography to investigate air displacement by …

Utilization And Justification Of Generative Ai Technologies For Schematic Architectural Design, Aaric Celeste

Theses

Today, architecture is heavily assisted by computer programs. As technology advances, these programs will be more impactful in the design space and will become more inseparable as a result. It is nearly certain that architectural design will no longer be as time-consuming and reiterative as it is today. Computer software and AI-assisted tools will be able to interpret information and produce practical designs that architects otherwise couldn’t. It may seem futuristic and a not-in-our-lifetime phenomenon, but it in fact already exists today. Algorithms are already developed to assist and in some cases take over design work. This thesis discovered existing …

Autowaze: Automated, Real-Time, And Accurate Traffic Analytics, Vijay Bajracharya

Theses

A key factor leading to the inefficiency of transportation systems is the lack of real-time, fine-grained traffic analytics. An average motorist in the United States spends a significant amount of time looking for parking spots during their daily commute. Existing systems for traffic analytics are either not scal- able to large metropolitan areas or require a human-in-the-loop. This project focuses on automating the detection of fine-grained traffic analytics. Lever- aging on-board stereo cameras, Autowaze utilizes a crowd-sourced strategy to take time-windowed snapshots of the road containing 3D map points of the environment. These snapshots are used to extract changes in …

On The Naming Of Identifiers: A Survey Of Undergraduate Students, Stacy Skalicky

Theses

Alsuhaibani et al. state that 60% of the participants do not have strict or any naming standards in the workplace and developers surveyed desired clear method naming standards to promote code comprehension [2]. Martin indi-cated identifier names are responsible for 90% of what makes software readable and understandable [25] . Borstler et al. indicated readability was important to developers at every level of experience but few report their academic influences being effectively leveraged to make quality identifiers [5]. Keuning et al. surveyed teachers in programming-related fields and found that code quality although important, was not a big part of their …

Improving Design And Physical Boundary In Temporary Post-Disaster Relief Shelters: Analysis Of Existing Literature, Min-Hye Jang

Theses

Natural disasters such as floods, hurricanes, cyclones, storms, earthquakes, wildfires, and landslides displace people. As responses at the community resilience level, the temporary post-relief shelter is critical for the community's rapid recovery. Converting existing public facilities is the fastest way to respond to a crisis. However, the Hurricane Katrina Superdome Shelter alerted society to the prevalence of sexual assault in transitory catastrophe contexts. Not only has sexual abuse occurred, but prior shelters did not equip every user with physical barriers to suit their needs. This study examined academic journals, articles, and books to identify issues with natural disaster shelters created …

Optimizing Customs Efficiency: Detection For Illicit Shipments In Cargo, Ohood Alharbi

Theses

Aim- The study aimed for creating a machine learning algorithm which succeeded customs control procedures through estimating shipments being either illicit or non-illicit. The study aimed at boosting the level of accuracy in determining the critical shipments, which would in turn, increase customs productivity, minimize false positive and false negative, as well as augment security and ensure the smoothness of trade flow, amid a palpable surge in importation rates. Methods- The study implemented the CRISP-DM methodology (Cross-Industry Standard Process for Data Mining), which has a well-structured approach of achieving standard data mining solutions. At the beginning, the efforts have been …

Computational Framework For Parameter Identification In The Nearly Incompressible Linear Elasticity System, Rachel Hawks

Theses

Breast cancer is one of the most common cancers in women and early detection is a key component in the treatment of cancer and can lead to drastic improvement of patient survival rates. Cancerous tissue is stiffer on average than healthy soft tissue, and in the presence of a compressive force, the stiffer areas tend to deform less than the softer areas. The problem being analyzed is based on a linear elasticity system that describes displacement in soft tissue under applied body forces in biomedical applications, specifically in the case of identifying soft tissue cancers. Elasticity imaging, or elastography, can …

Electron Counting, Dopant Implementation, & Electron Phonon Interaction Mesh Sensitivity Testing For Nanoscale Energy Transport Model, Dominick Velez

Theses

Managing thermal energy generation and heat transfer within nanoscale devices (transistors) of modern-day electronics is important as it limits speed, carrier mobility, and affects device reliability. In the nanoscale, heat conduction occurs primarily via phonon transport and heat generation is a result of electron-phonon interactions in these devices. Traditional methods of predicting physical behavior have proven to lack either physical accuracy, computational efficiency, or flexibility. The Nanoscale Energy Transport Model (NETM) is an engineering design tool introduced to calculate non-equilibrium transport of energy carriers in nanoscale devices and overcome the deficiencies of traditional models of energy-carrier transport The NETM previously …

Cut, Beth Lane

Theses

Abstract “cut” is a documentary film which explores themes of systemic sexism in the film industry. It was produced between September 2023-April 2024 including pre-production to post-production. This paper describes and analyzes the filmmaking process for Beth Lane, Director. In this paper I will also attempt to put to words the intangibles of that process, including the social dynamics of filmmaking, and larger cultural happenings at the time of production.

Glacier Lake Inventory And Lake Outburst Flood Hazard Assessment In Kanchenjunga Conservation Area, Nepal, Prabish Khadka Chhetri

Theses

This study presents a comprehensive assessment of glacial lakes and land surface temperature (LST) dynamics within the Kanchenjunga Conservation Area (KCA) from 2010 to 2023. The KCA holds significant ecological importance, serving as a critical habitat for diverse flora and fauna, while also playing a vital role in regional hydrological systems. Additionally, its stunning landscapes attract tourists and mountaineers from around the world, further emphasizing the need for understanding environmental changes within the area. Utilizing medium to high-resolution satellite imagery from PlanetScope for glacial mapping and Landsat for LST analysis, the research aimed to achieve two primary objectives: creating an …

Reduction Of The Length Of Stay At The Emergency Department Of The Audie L. Murphy Hospital, Arwa Al Shikrian

Theses

We implemented the DMAIC framework (Define, Measure, Analyze, Improve, and Control) and Lean Six Sigma methods to reduce the length of stay (LOS) in the Emergency Department (ED) at Audie L. Murphy VA Hospital, a crucial issue affecting operational efficiency and patient care quality. This project was conducted in conjunction with an internship at the Hospital; our efforts were an integral part of a Green Belt project being conducted by Mr. Roarke Verkaik-Bushby, Hospital Administration Service, to

whom this author reported.

We employed quantitative research design, meticulously observing, measuring, and analyzing ED processes. We tracked patient flow, identified bottlenecks, and …

Impact Of Data Reliability On Resilience-Based Decision Making In A Water Distribution System, Amrit Babu Ghimire

Theses

This thesis explores the increasing necessity for resilience in Water Distribution Systems (WDS) facing challenges like leakage, missing data, and cyber-physical attacks. Resilience-based strategies enhance WDS sustainability by minimizing losses and ensuring quick recovery. Integrating smart systems, utilizing real-time data, boosts infrastructure resilience by improving efficiency and responsiveness. Data precision is essential for practical system analysis, development of resilience strategy, and making real-time decisions. The study also investigates into the potential of decentralization, combined with smart systems, to enhance WDS resilience, considering diverse water resources and hybrid systems. It seeks to answer critical questions about resilience in various failure scenarios …

Efficient Quantum Multiplication In The Quantum Fourier Transform Domain, Aden Crimmins

Theses

The subject of Quantum Computing is in its early stages of development, and new technologies and algorithms are constantly evolving. Even with all of this progress it is important to recognize that current quantum computers are still in their infancy and, as such, have notable issues. The ``era" that we are in currently is known as the Noisy Intermediate-Scale Quantum (NISQ) era, which is characterized by machines of small size that are prone to quantum noise, which causes computational error the longer the circuit runs. In order to make use of these quantum computers, algorithms need to be developed that …

Revitalizing The Rochester Gorge Strategic Urban Site Planning To Enhance Water Quality In The Lower Genesee River, Stephen Adam Stoker

Theses

The project began with investigating a regional asset of interest: the Genesee River. Initial research into this area revealed that the river suffers from poor water quality. The causes and effects of poor water quality were explored, and it was determined that excess nutrients – namely phosphorus – play a critical role in the water quality of the Genesee River and present downstream risk at the river’s point of outflow in Lake Ontario. An examination of peer-reviewed literature, contemporary examples in the built environment where similar water quality issues were addressed, and existing watershed design frameworks were conducted to understand …

Voltage Total Harmonic Distortion-Based Communication-Free Adaptive Protection Strategy For Microgrids, Mohamed Jaffer Ali

Theses

The microgrid protection strategy encounters major obstacles because of the varying fault current capacities that result from the diverse modes of microgrid operations. The challenges are heightened with the incorporation of large-scale systems. Protecting microgrids has become a complex task due to various factors. This includes 1) increased fault current contribution during grid-connected operation, 2) insufficient current contribution during islanded operation, 3) sympathetic tripping, 4) blinding, and 5) loss of mains. These factors can render existing protection devices ineffective in clearing faults. And thus, current alone cannot be only key factor for detecting a fault among various modes of operation. …

Continuous Mobile Authentication Protocol For Iot Based Environment Supporting User Behavioural Profile, Saleem Emad Saleem Abdo

Theses

As the Internet of Things (IoT) ecosystem continues to spread, many researchers are addressing the need for robust and lightweight authentication mechanisms for both continuous and mobile IoT devices. However, the main issue that many face is the lack of a consensus on the definitions of both continuous and mobile IoT authentication. This thesis aims to investigate the diverse definitions and approaches surrounding continuous and mobile IoT authentication. We delve into the evolving landscape of authentication methods, protocols, and security measures tailored for IoT devices that operate in dynamic and mobile environments. A comprehensive survey navigates through the multifaceted dimensions …

Evolutionary Neural Network For Optimized Clock Tree Synthesis, Patrick Jeffery

Theses

Clock Tree Synthesis (CTS) is a complex and in depth process that, in modern designs, would take an individual months if not years to get a working design. Tools such as Cadence Innovus and Synopsys ICC provide excellent support for CTS and can be used to create well optimized trees; allowing the user to edit the tree’s generation down to a single buffer. However, even these tools can fall short of a perfectly optimized route and oftentimes need a capable user to direct them in the right direction just to get a functioning clock tree. The aim of this work …

A Comprehensive Study Of Gain Characterization In Mosfets, Elaine Greenfield

Theses

The functionality of MOSFETs makes them a crucial component in modern electrical engineering. These devices play a fundamental role in a wide range of applications. Understanding the behavior and characteristics of MOSFETs is essential for their effective utilization in circuit design. One crucial parameter that significantly impacts MOSFET performance is voltage gain. It represents the ratio of output voltage to input voltage and varies depending on the circuit configuration employed. When selecting a MOSFET for a specific circuit, understanding the parameters and characteristics that influence voltage gain becomes crucial. This research project aims to delve into the realm of MOSFETs, …

Selenate-Mediated Impacts On Mercury Methylation By Pseudodesulfovibrio Mercurii With Dissolved And Nanoparticulate Mercuric Nitrate, Md Sayeduzzaman Sarker

Theses

Inorganic mercury (Hg) is converted to potential neurotoxic methylmercury (MeHg) by a natural process called Hg methylation. MeHg can be biomagnified in the food chain, thus the consumption of Hg-contaminated fish contributes to harmful human health issues. Selenium (Se) inhibits the Hg bioavailability to the methylating bacteria by forming mercuric selenide (HgSe). Pseudodesulfovibrio mercurii, a type of sulfate-reducing bacteria (SRB) cultures were grown in anaerobic environments using an estuarine sulfate lactate growth medium to evaluate the effects of Hg concentrations, bacterial growth phase, and sodium selenate in the Hg methylation process. Bacterial cultures contained two types of mercuric (II) nitrate, …

Neural Network Characterization Methods For Noisy Quantum Hardware Results, Daniel Richard Breslawski

Theses

As the nascent quantum computing paradigm matures and quantum devices become widely available, discrete "eras" are emerging which characterize evolving quantum computing technologies, much like semiconductor technology node classifications. The current period has been coined the Noisy Intermediate-Scale Quantum (NISQ) era, as devices above 50 qubits in size exist but computations using these devices accumulate error quickly from classical interference sources and state decoherence. NISQ machines may surpass the capabilities of modern classical computers in ideal circumstances, but the accumulation of error from physical noise limits the size and implementability of reliable quantum algorithms. Because of these limitations, strategies are …

Uvm Verification Of A Dtmf Receiver Core, Clayton Koppi

Theses

Integrated circuits grow more complex as digital designers implement more features on a project. All modern integrated circuits require some form of testing in order to prove that their functionality matches the design requirements. As the complexity of a design increases, the number of potential bugs increases dramatically. The need for a testbench that is reusable, modular, and organized is apparent for modern integrated circuits. Verification is the process of proving the design matches its requirements, and discovering bugs in simulation. The business motivation behind verification is ensuring the product will work before starting the costly and long fabrication process. …

Digital Beamforming Implemented In Hardware, Nicole Dulieu

Theses

Digital beamforming is a popular method used in modern communication systems. The ability to track and locate a transmitting signal adaptively is necessary in communication systems. Beamforming is one solution to this problem. Beamforming uses an array or matrix of isotropic antenna elements. This eliminates the need to create a physically larger antennas to achieve the same radiation pattern and gain of a phased array of antenna elements. Additionally, the antennas are electronically controlled allowing the radiation pattern and gain to adapt quickly. It is necessary to use a digital platform for beamforming because hardware can digitize analog signals efficiently. …

New Trigger Board Design For An Inductive Adder Topology Circuit, Htet A. Kyaw

Theses

After working at Laboratory for Laser Energetics for about 10 months, I was assigned in doing the research for replacing the obsolete parts on the trigger board of the high voltage and high current system. After studying the system, it was noticed that the circuit topology used was part of the pulse power system. Hence, the pulse power system was studied further to understand how it was used and its advantages. The inductive adder topology was studied thoroughly so that the trigger board design would meet the requirements. The components such as MOSFETs and Gate Drivers were studied and compared …

Benchmarking Of Matrix Multiplication Acceleration Methods, Ashish Tondwalkar

Theses

With the advent of artificial intelligence (AI), performance and model runtime feasibility poses a challenge to the advancement of AI technology. Novel methods of accelerating the core mathematical functions of AI applications are being explored. The crux of AI computations that would benefit from hardware acceleration is matrix multiplication. This thesis explores the acceleration of matrix multiplication using systolic arrays and the strassen algorithm, methods known for enhancing computational efficiency through parallel processing. The research focuses on the design, implementation, and comprehensive testing of these architectures to expedite matrix multiplication tasks, crucial for applications in deep learning and signal processing. …

Investigations On Process Options Towards Improved Operation And Stability Of Igzo Tfts, Emanuelle Chowdhry

Theses

Indium Gallium Zinc Oxide (IGZO) is an amorphous oxide semiconductor (AOS) being used in the display industry for backplane TFTs due to its superior mobility in comparison to hydrogenated amorphous silicon, as well as being compatible with the existing flat-panel manufacturing infrastructure. The ongoing research efforts primarily revolve around making the processing more robust so improved performance can be obtained and with greater consistency. The original proposed studies involved investigations on process options that promote enhanced passivation of defect states, and resistance to hydrogen plasma exposure to enable straightforward device integration schemes. However, during the beginning stages of experimentation there …

Evaluation Of A Silicon Carbide Stiffening Layer For Silicon-On-Glass Thin-Film Transistors, Ankur Korad

Theses

Thin-film electronic devices based on hydrogenated amorphous silicon (a-Si:H) or low-temperature polycrystalline silicon (LTPS) are currently utilized in the development of electro-optical systems. These systems require a transparent substrate and are commonly found in active-matrix flat-panel displays for handheld digital assistants, digital cameras, and smart phones, among other devices. The performance of these systems could be greatly enhanced in terms of speed, power consumption, resolution, and degree of integration if single-crystalline thin films became available. Corning’s Silicon-on-Glass (SiOG) technology, initially investigated prior to 2010, involved the transfer of single crystal silicon layers onto glass substrates using an anodic bonding process …

Defect Detection Of Photovoltaic Panels By Image Processing, Hamad Almarzooqi

Theses

A key component of the transition towards cleaner and more sustainable power sources, driven by the global demand for such energy, has been the fast improvement in the installation of solar photovoltaic (PV) plants. Ensuring the dependability of photovoltaic panels becomes crucially important when solar installations develop in scale. Photovoltaic panels have flaws that reduce their effectiveness and shorten their lifespan, but they are durable and long-lasting otherwise. Solar plants need to work as efficiently as possible with low downtime and to want solar energy to be viable in the long run, the issues shall be fined a fixed promptly. …