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Graduate Theses and Dissertations

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Design And Modeling Of A Robotic Manipulator For Agricultural Explorations, Trent Thomas Powell Jul 2026

Design And Modeling Of A Robotic Manipulator For Agricultural Explorations, Trent Thomas Powell

Graduate Theses and Dissertations

This thesis focuses on the modeling, design, and early testing of a spherical revolute revolute prismatic (RRP) robotic manipulator for probe based applications. The system is motivated by agricultural grain probing, where a probe is positioned over a truck bed and inserted into the grain to collect samples as trucks enter storage facilities, ports, hubs, or transfer points. A spherical RRP configuration is useful for this type of task because it provides a large accessible workspace while maintaining a relatively simple mechanical structure. A model based design approach is used to develop the system, beginning with forward and inverse kinematics …

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Nitrogen Use Efficiency Of Rice Expressing Arabidopsis Thaliana Dreb1a Gene, Yanis Anetha Vasquez Valdes Jul 2026

Nitrogen Use Efficiency Of Rice Expressing Arabidopsis Thaliana Dreb1a Gene, Yanis Anetha Vasquez Valdes

Graduate Theses and Dissertations

Rice is a globally consumed crop and feeds more than half of the world’s population. Nitrogen (N) fertilization is required for increasing rice crop production and yield, but producers often overuse N fertilizers, exceeding plant uptake capacity. Around 40% of the applied N is lost through volatilization and denitrification to the environment, causing algal bloom formation, greenhouse gas emissions, and water pollution. Therefore, improving nitrogen use efficiency (NUE) in rice has become a principal objective to achieve sustainable agriculture. NUE is a complex trait in rice that coordinates three processes: nitrogen uptake, transport and assimilation, which together support photosynthesis, biomass …

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Evaluation Of Thresholds For Adult Tarnished Plant Bug, Lygus Lineolaris (Beauvois), In Thryvon® Cotton, William Anderson Fletcher Jul 2026

Evaluation Of Thresholds For Adult Tarnished Plant Bug, Lygus Lineolaris (Beauvois), In Thryvon® Cotton, William Anderson Fletcher

Graduate Theses and Dissertations

Tarnished plant bug (TPB) is the most economically damaging insect pest of Mid-South cotton. TPB reduces yield is reduced by damaging squares, terminal growth, and small bolls, resulting in reduced yield. Currently, cotton grown in the Mid-South averages 1-6 insecticide applications per year for control of TPB. The introduction of ThryvOn® cotton technology provides a new management strategy for TPB control. ThryvOn® technology produces the Bacillus thuringiensis (Bt) protein Mpp51Aa2, which has insecticidal activity on TPB. A field study was conducted at five locations in 2024 and seven locations in 2025 across the Mid-South to evaluate different threshold levels for …

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Review And Experimental Demonstration Of The Concrete Maturity Method For Early Opening Of Arkansas Pavements, Chase Dykema Jul 2026

Review And Experimental Demonstration Of The Concrete Maturity Method For Early Opening Of Arkansas Pavements, Chase Dykema

Graduate Theses and Dissertations

Many Department of Transportation (DOT) specifications across the United States require a minimum time to gain strength for concrete pavements before they can be opened to construction equipment or traffic. This period is anywhere from three to seven days. However, concrete pavements can often be opened earlier as long as a minimum required strength is attained. With the development of modern pavement mixes, this strength can often be achieved well before the required curing period has passed. Allowing contractors to open pavements earlier increases construction efficiency. One nondestructive method of proving a pavement has achieved the required strength is the …

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Designing Functional Nanolaminates From Complex Atomic Layer Deposition Reactions, Joseph Joel Muhanga Jul 2026

Designing Functional Nanolaminates From Complex Atomic Layer Deposition Reactions, Joseph Joel Muhanga

Graduate Theses and Dissertations

Atomic layer deposition (ALD) enables precise cycle by cycle control over film thickness and composition. This kind of control is ideal for the engineering of functional nanolaminate coatings with tailored optical properties. Since ALD synthesized composite films are deposited as discrete, stratified layers and not as homogeneously intermixed solids, it is not yet clear when such composites can be be treated with the effective medium approximation (EMA). EMA is simplification that is important to the design of mixed oxide coatings. This dissertation addresses that question using a model system, and then asks whether the same approach can be used to …

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Development Of Medical Device For Hypovolemic Assessment Using Peripheral Venous Pressure, Connor J. Breshears Jul 2026

Development Of Medical Device For Hypovolemic Assessment Using Peripheral Venous Pressure, Connor J. Breshears

Graduate Theses and Dissertations

Accurate assessment of intravascular volume status remains challenging because traditional measurements such as heart rate, blood pressure, physical examination findings, and laboratory values may be subjective, delayed, or insensitive to early volume loss. Peripheral venous pressure (PVP) waveform analysis provides a potential approach for minimally invasive volume-status monitoring because PVP waveforms can be acquired from peripheral venous access and may contain frequency-domain information related to cardiac activity, respiratory modulation, vascular coupling, and intravascular filling. This thesis presents the development and evaluation of a proof-of-concept embedded prototype for PVP waveform acquisition and volume-status classification. The system integrates a Millar MEMS pressure …

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Coupled Effects Of Sub-Atmospheric Pressure And Surface Structures On Pool Boiling Performance And Hysteresis Pathways, Mohammad Ishraq Hossain Jul 2026

Coupled Effects Of Sub-Atmospheric Pressure And Surface Structures On Pool Boiling Performance And Hysteresis Pathways, Mohammad Ishraq Hossain

Graduate Theses and Dissertations

The increasing power density of microelectronics has created a need for cooling technologies capable of maintaining low operating temperatures. Sub-atmospheric pool boiling of water is promising because reducing saturation pressure lowers the boiling temperature, enabling two phase cooling within electronics-relevant temperature limits. However, reduced pressure also affects CHF, HTC, and post-CHF recovery. In this work, pool boiling experiments were conducted on flat copper, microchannel copper, and micro-pin-fin copper surfaces over 10–100 kPa to examine the coupled effects of pressure and surface structure. CHF and HTC increased with pressure, while structured surfaces enhanced both relative to flat copper. Surface structure dominated …

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Fugue State: The Body Politic Of Identity Theatre, Sean Patrick Ryan Jul 2026

Fugue State: The Body Politic Of Identity Theatre, Sean Patrick Ryan

Graduate Theses and Dissertations

This paper will cover my approach as an actor and a creator in two separate productions during my time at the University of Arkansas. The first is a solo theatre piece that I devised under the tutelage of Michael Landman. This work, Half Brother, is a piece of theatre that takes an abstract approach to exploring the familial and psychological ripples that can occur in the life of a queer person when a parental unit takes on a political and religious identity that is oppositional to the LGBTQ community. It exposes the effect this transformation has on the child, their …

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Evaluation Of The Weed Control Efficacy And Potential Economic Returns Of An Autonomous Weeder In Vegetable Production Systems, Claire Plassmeyer May 2026

Evaluation Of The Weed Control Efficacy And Potential Economic Returns Of An Autonomous Weeder In Vegetable Production Systems, Claire Plassmeyer

Graduate Theses and Dissertations

Vegetable production requires intensive weed management. Conventional producers rely on herbicide applications to manage weeds effectively at low costs; however, growers are under pressure to minimize chemical use due to environmental concerns and increased incidences of herbicide resistance. Non-conventional systems, including organic and sustainably focused small-scale production, rely primarily on cultural practices and physical weed control methods, which are labor-intensive and costly due to limited labor availability and rising wages. These concerns have prompted the development of autonomous weeding devices, such as unmanned ground vehicles (UGVs) equipped with navigation sensors and implements to provide repeated, high-precision weed control. Compact devices …

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Analyzing The Effects Of Message Testing On The Public's Opinion About Gene Editing In Agriculture And Medicine, Luke Sanford Wimpy May 2026

Analyzing The Effects Of Message Testing On The Public's Opinion About Gene Editing In Agriculture And Medicine, Luke Sanford Wimpy

Graduate Theses and Dissertations

This paper will present results from the final survey of a multi-stage project examining factors that influence opinions about gene editing in agriculture and medicine. In this final survey, 3,200 U.S. respondents were recruited and randomized to view one of eight videos that communicated the safety of gene editing to determine which factors are most influential in changing opinions. The eight videos were designed based on data collected from focus groups and three previous surveys in this multi-stage project. The eight videos varied by three attributes: messenger, message, and application. The messenger in the videos was either a researcher or …

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Harness: Hybrid Architecture For Resilience In Networked Engineering System Simulations, Daniel Scott May 2026

Harness: Hybrid Architecture For Resilience In Networked Engineering System Simulations, Daniel Scott

Graduate Theses and Dissertations

This dissertation presents the development of HARNESS, a unified, domain-agnostic framework for the modeling, optimization, and evaluation of complex systems under conditions of degradation and uncertainty. The research addresses a persistent challenge in systems engineering: the lack of a generalizable, behaviorally grounded approach for quantifying resilience and robustness across diverse domains. HARNESS integrates graph-theoretic dependency modeling, GPU-accelerated evolutionary optimization, and agent-based simulation into a modular architecture that enables both system design and diagnostic analysis. The framework models system interdependencies through user-defined components, parameters, and constraints, allowing architectures to evolve dynamically while maintaining structural validity. A mutation-only genetic algorithm with a …

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Exploring Google Trends In Assessing Personal Finance Needs For Cooperative Extension Service Programming, Megan Wells May 2026

Exploring Google Trends In Assessing Personal Finance Needs For Cooperative Extension Service Programming, Megan Wells

Graduate Theses and Dissertations

The Cooperative Extension Service (CES) relies on systematic needs assessments to guide program development; yet, traditional approaches often depend heavily on stakeholder input and professional judgment, offering limited insight into consumer level needs. This mixed methods study explored Google Trends as a complementary, consumer driven data source for assessing Family Resource Management (FRM) needs within the Arkansas CES. Grounded in Witkin and Altschuld’s three level needs assessment framework and Uses and Gratifications Theory, the study integrated three data sources representing stakeholders, service providers, and consumers: (1) Family and Consumer Sciences (FCS) advisory committee reports, (2) survey of Family Consumer Science …

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Dissecting The Complex Genomic Landscape Underlying Oxidative Stress Resistance Using Natural Variation In Yeast, Sonali Lakshika Anne Lenaduwe May 2026

Dissecting The Complex Genomic Landscape Underlying Oxidative Stress Resistance Using Natural Variation In Yeast, Sonali Lakshika Anne Lenaduwe

Graduate Theses and Dissertations

Stress is experienced across the tree of life. Survival in fluctuating environments depends on a robust genetic architecture. This dissertation examines the genetic and metabolic determinants underlying one such adaptive response: cross-protection. Leveraging natural variation in the stress responses of budding yeast, Saccharomyces cerevisiae, I examine the genetic variation contributing to ethanol-induced cross-protection against oxidative stress. Acquired stress resistance, in which mild pre-exposure improves survival to subsequent stresses, is prevalent across diverse organisms and can involve both same-stress and cross-protection. Using high-throughput bulk segregant analysis (BSA-seq) and advanced intercross mapping populations derived from natural yeast isolates, I identify quantitative trait …

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Mechanisms Of Bacterial Glucokinase Inactivation Through Site-Specific Lysine Modification And Chemical Inhibition, Joseph Robert Will Andrews May 2026

Mechanisms Of Bacterial Glucokinase Inactivation Through Site-Specific Lysine Modification And Chemical Inhibition, Joseph Robert Will Andrews

Graduate Theses and Dissertations

Glycolysis and related metabolic pathways are controlled by various post-translational modifications (PTMs) that affect enzyme activity and metabolic flow. In E. coli, glucokinase (GLK) sits at the crossroads of glycolysis and the pentose phosphate pathway and carries out the first committed step of glycolysis: ATP-dependent phosphorylation of glucose. While it's known that glucose binding causes GLK to close its domains, how phosphate binding, lysine modification, and small-molecule inhibitors regulate GLK's shape and function is still not fully understood. Here, I combine structural biochemistry and enzymology to figure out how phosphate binding, specific mutations, and chemical inhibitors affect E. coli GLK. …

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Modeling Bicycle Ridership In Northwest Arkansas, Nelofar Qulizada May 2026

Modeling Bicycle Ridership In Northwest Arkansas, Nelofar Qulizada

Graduate Theses and Dissertations

In a global comparison, the U.S. ranks second lowest in bicycle use for urban trips, surpassed only by Brazil. This underutilization signals missed opportunities to improve public health, environmental sustainability, and community connections. In Northwest Arkansas (NWA), a region actively investing in active transportation infrastructure, efforts were underway to reverse this trend. However, a key question remained: Were these investments effectively boosting bicycle ridership? To address this question, communities required reliable methods to measure cycling activity. Traditionally, this involved stationary counters placed at strategic locations to monitor ridership patterns. While accurate, these counters had limited spatial coverage. In contrast, emerging …

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Design And Evaluation Of A Single-Gate Multi-Threshold Null Convention Logic Architecture For Area Efficiency, John Edward Swaim May 2026

Design And Evaluation Of A Single-Gate Multi-Threshold Null Convention Logic Architecture For Area Efficiency, John Edward Swaim

Graduate Theses and Dissertations

Asynchronous circuit design paradigms, such as NULL convention logic (NCL) and Multi-Threshold NCL (MTNCL), offer increased energy efficiency over synchronous equivalents and robust pipelines with minimal timing analysis. However, their dependency on dual-rail signal encoding causes significant overhead compared to single-rail equivalents. Previous single-gate and single-rail NCL paradigms have sought to reduce circuit area, but most compromise their quasi-delay-insensitivity and correct-by-construction nature with logic gate and system-level design choices. This thesis presents Single-Gate MTNCL (SG-MTNCL), a register controlled, single-gate, and dual-rail asynchronous architecture to improve the area efficiency of MTNCL without compromising the reliability of previous paradigms. The benefits of …

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Automated Circuit Design Algorithm And Implementation For Asynchronous Reset (Ares) Physically Unclonable Functions, Andrew Michael Felder May 2026

Automated Circuit Design Algorithm And Implementation For Asynchronous Reset (Ares) Physically Unclonable Functions, Andrew Michael Felder

Graduate Theses and Dissertations

Technology is increasingly interwoven in all aspects of society as it solves new problems, creates new possibilities, and enables new conveniences. With its unceasing evolution, environments handling protected information such as military, finance, and medicine demand ever-evolving threat mitigation. Combating attackers’ abilities to spoof devices, uncover cryptographic keys, and bypass security features is a never-ending task which drives technological advancement to improve existing capabilities and develop entirely new methodologies. In this dissertation work, the hybrid Asynchronous RESet Physically Unclonable Function (ARES PUF) is evaluated at the circuit to determine its merits as a PUF. As part of this evaluation, results …

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Privacy Protection In Machine Learning: Methods For Structured And Unstructured Data, Karuna Bhaila May 2026

Privacy Protection In Machine Learning: Methods For Structured And Unstructured Data, Karuna Bhaila

Graduate Theses and Dissertations

As machine learning models become increasingly integrated into data-driven decision-making, the protection of sensitive information throughout the model lifecycle is a paramount concern. As these models process and memorize sensitive, proprietary, or personal data, they risk leaking information through their outputs or internal states, especially in domains such as healthcare and finance. The protection of data in machine learning has thus been a crucial field of study. Within this paradigm, researchers have studied theoretical and application-oriented mechanisms for realizing privacy protections for various data formats. Nonetheless, privacy in machine learning still has many open problems, especially with the emergence of …

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Efficient Deep Neural Networks For Autonomous Perception, Reeshad Khan May 2026

Efficient Deep Neural Networks For Autonomous Perception, Reeshad Khan

Graduate Theses and Dissertations

Autonomous perception systems must operate reliably under uncertainty arising from noisy observations, incomplete supervision, and hardware constraints. This dissertation investigates the design of efficient deep neural networks for autonomous perception through a unified perspective that treats uncertainty, efficiency, and sensing as interconnected challenges. The first contribution develops adaptive extensions of unbiased risk estimators, including eSURE and ePURE, enabling unsupervised training of deep neural networks for magnetic resonance image denoising under Gaussian and Poisson noise. However, these methods rely on known noise assumptions, which motivates the second contribution: a unified diffusion and Bayesian risk framework that estimates and adapts to unknown …

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Study On The Effects Of Molecular Layer Deposition Coating And Mechanical Pressure On Lithium Metal Anodes, Cameron Mondl May 2026

Study On The Effects Of Molecular Layer Deposition Coating And Mechanical Pressure On Lithium Metal Anodes, Cameron Mondl

Graduate Theses and Dissertations

Lithium (Li) metal is a highly promising anode material for next-generation energy storage systems due to its outstanding theoretical capacity and low electrochemical potential. However, its commercialization implementation has been hindered due to interfacial instability and uncontrollable dendrite formation, leading to poor cycling efficiency and thermal runaway. Among the most promising stabilization strategies, protective interfacial coatings have emerged as an effective solution to promote more uniform Li deposition and suppress erratic morphological inconsistencies. In particular, molecular layer deposition (MLD) enables uniform film thickness through layer-by-layer deposits, offering a highly versatile approach to protective interfacial layers. In addition to interfacial engineering, …

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Developmental Mathematics As A Potential Barrier To Degree Completion In Community Colleges, Cynthia Bernice Fletcher May 2026

Developmental Mathematics As A Potential Barrier To Degree Completion In Community Colleges, Cynthia Bernice Fletcher

Graduate Theses and Dissertations

Developmental mathematics is often seen as a barrier to student progression in community colleges, especially for students pursuing Associate of Science degrees requiring math coursework. This quantitative, ex post facto, non-experimental study examined how developmental mathematics factors predicted Associate of Science degree completion at a two-year community college in the West South-Central United States. Specifically, it assessed how academic performance in developmental mathematics, placement method, math pathway, and number of developmental math courses related to Associate of Science degree completion, as well as differences across student subgroups. Archival institutional data were used for first-time-in-college students across four cohorts: 2018, 2019, …

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You Can Get Your Mail Sent There While You’Re Sleeping On The Street: A Community-Forward Analysis On The Role And Function Of The Northwest Arkansas Non-Profit Industry, Kaci Churchill May 2026

You Can Get Your Mail Sent There While You’Re Sleeping On The Street: A Community-Forward Analysis On The Role And Function Of The Northwest Arkansas Non-Profit Industry, Kaci Churchill

Graduate Theses and Dissertations

Nonprofit services are frequently sought by community members experiencing material hardship, particularly at junctures where employment- and state-based compensation fail to provide sufficiently. While barriers to aid provision have been examined from the perspective of nonprofits, various accessibility issues for community members seeking to obtain support are an under evaluated factor that influence the efficacy of nonprofits in carrying forth their mission. This qualitative study seeks to understand commonly experienced barriers to support facing resource-seeking community members. Semi-structured interviews with Northwest Arkansas community members, a region highly saturated with well-funded nonprofit agencies, shed light on recurring obstacles, and provide theoretical …

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Genre Prediction Using Rnns And Llm-Enhanced Video Game Review Data, Gabriel Young May 2026

Genre Prediction Using Rnns And Llm-Enhanced Video Game Review Data, Gabriel Young

Graduate Theses and Dissertations

LLMs (Large Language Models) are powerful tools for engaging with textual data, carrying many advantages over classical NLP (Natural Language Processing) and ML (Machine Learning) approaches. However, a classical ML model can still be faster, more efficient to run, and accessible than an LLM. We seek to gain the benefits of LLM text comprehension and preserve them in a classical ML model, a hybrid approach. The LLM operates on text to surface relevant information and associations in our problem space, then the ML model trains on the LLM output. The model may learn from the LLM and provide a more …

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An Efficient Implementation Of Gibbs-Duhem Integration For Solid-Liquid Phase Coexistence In Binary Lennard-Jones System With Relevance To Aav Capsid Separation, Muhi Muntaka May 2026

An Efficient Implementation Of Gibbs-Duhem Integration For Solid-Liquid Phase Coexistence In Binary Lennard-Jones System With Relevance To Aav Capsid Separation, Muhi Muntaka

Graduate Theses and Dissertations

Gene therapy using adeno-associated viruses (AAVs) holds promise for treating genetic diseases, but high manufacturing costs limit its widespread use. A major challenge is separating functional (full) AAV capsids from non-functional (empty) ones, which are produced in similar amounts and have nearly identical structures. Conventional purification methods, such as density gradient ultracentrifugation and chromatography, face drawbacks like low yield, poor scalability, and high cost, often requiring multi-step processes. Recently, selective crystallization has emerged as a promising alternative, offering improved efficiency, scalability, and product quality. However, optimizing this method requires a deep understanding of thermodynamic phase behavior in multicomponent systems. In …

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From Phenology To Yield Zones: Functional Clustering Of Satellite Time Series For Crop Growth Monitoring, Ikram Morso May 2026

From Phenology To Yield Zones: Functional Clustering Of Satellite Time Series For Crop Growth Monitoring, Ikram Morso

Graduate Theses and Dissertations

Remote sensing and land surface phenology provide a strong basis for characterizing crop development, but their usefulness for within-field yield-zone delineation depends on whether crop development is analyzed as a phenological trajectory and whether the resulting zones are evaluated with spatially defensible statistics. These questions are especially relevant in soybean production because soybean is one of the most important row crops in the United States and the country’s dominant oilseed crop. This relevance is strong in Arkansas, where soybean is a major component of agricultural production. In soybean production, within-field yield variability reflects the combined influence of soil properties, stand …

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Sel & Hil Integrations For Real-Time Cyber Threat Modeling, Risk Assessment, And Result Validation, Zachary Coel Harris May 2026

Sel & Hil Integrations For Real-Time Cyber Threat Modeling, Risk Assessment, And Result Validation, Zachary Coel Harris

Graduate Theses and Dissertations

The electrical power grid is one of the most critical infrastructure systems, with virtually every other critical system relying on its electricity to operate effectively [1]. One failure in the electrical grid can have cascading effects, reducing, or outright stopping the operation of services vital to people’s lives. Ensuring continuous availability of the electrical grid is vital. This constant need for availability poses a challenge to identify potential cyber-attacks and their impacts. The grid is constantly growing with the addition of DERs (Distributed Energy Resources). Common DERs, such as photovoltaic systems or wind farms, can provide primary or secondary generation …

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Structural Relaxation In Glass-Forming Liquids At Extreme Pressure: Photon-Correlation Spectroscopy And Constrained Thermodynamic Surface Modeling, Kevin Wayne Lyon May 2026

Structural Relaxation In Glass-Forming Liquids At Extreme Pressure: Photon-Correlation Spectroscopy And Constrained Thermodynamic Surface Modeling, Kevin Wayne Lyon

Graduate Theses and Dissertations

Structural relaxation in glass-forming liquids is strongly dependent on both temperature and pressure, yet direct measurement of structural α-relaxation under multi-gigapascal compression has remained experimentally challenging. This work extends depolarized photon correlation spectroscopy (DPCS) to pressures approaching 5 GPa in a diamond anvil cell, representing the highest-pressure implementation of this technique and enabling direct measurement of the structural α-relaxation in a pure liquid at extreme compression. This capability provides access to dynamical regimes previously unexplored by photon correlation spectroscopy and establishes a platform for probing glassy dynamics at high pressure. To describe these measurements, a constrained relaxation-time surface framework is …

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From Data Digitization To Personalized Care: Deep Learning And Decision Analytics In Healthcare Systems, Ahla Ko May 2026

From Data Digitization To Personalized Care: Deep Learning And Decision Analytics In Healthcare Systems, Ahla Ko

Graduate Theses and Dissertations

This dissertation traces a progression from foundational data infrastructure to individualized clinical decision-making, developing and evaluating three computational frameworks that advance healthcare efficiency and personalization through deep learning and decision analytics. The first study presents an end-to-end pipeline for automated recognition of handwritten medical forms, addressing persistent challenges in health data digitization. Integrating a YOLO-based field detection model, a Convolutional Recurrent Neural Network (CRNN) for text transcription, and a confidence-based human-in-the-loop quality assurance framework, the system achieved 99.75\% Exact Match Accuracy and a 0.13\% Character Error Rate on medical forms collected from a tuberculosis research project in Moldova. A GPU-accelerated …

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Assessing The Potential Of Taming Chicken Gut Commensal Bacteria Using Random Transposon Mutagenesis, Arjun Chapagain May 2026

Assessing The Potential Of Taming Chicken Gut Commensal Bacteria Using Random Transposon Mutagenesis, Arjun Chapagain

Graduate Theses and Dissertations

The chicken gut microbiome comprises hundreds of bacterial species whose functional roles remain largely unknown, in part because the tools needed to experimentally manipulate these organisms in their native community context have not been systematically developed or validated. This dissertation addresses the gap through three connected research chapters that progressively build a framework for transposon-based genetic delivery in the chicken cecal microbiome, moving from community-wide accessibility mapping to vector optimization to library preparation refinement. In Chapter 2, we established the community-level insertion landscape in chicken cecal metagenome using Himar transposon delivery via RP4 conjugation and aligned Tn-seq reads to a …

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Solid Embedded Telemetry, Pranav Balasubramanian Natarajan May 2026

Solid Embedded Telemetry, Pranav Balasubramanian Natarajan

Graduate Theses and Dissertations

This thesis explores the integration of the Solid decentralized data framework within embedded and legacy energy control systems to enable secure, access-controlled, and interoperable data exchange. Two implementations were developed to evaluate Solid’s practical applicability: an ESP32 client implementing Solid-OIDC authentication and telemetry publication to a Solid Pod, and a Modbus-to-Solid bridge translating Modbus RTU communications into RDF-based data for bidirectional control. Experimental evaluation highlighted the effects of task scheduling and blocking operations on the ESP32, and polling-based communication latency within the Modbus bridge. These findings reveal the architectural and computational trade-offs involved in extending Solid to constrained or protocol-bound …

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