Digital Commons Network^™

Uav-Based Sensor Integration For In-Situ Lake Water Quality Monitoring, Alec R. Campbell

Biological and Agricultural Engineering Undergraduate Honors Theses

Surface water monitoring is often constrained by limited spatial and temporal coverage due to the labor-intensive nature of traditional sampling methods, particularly in environments that are difficult to access or pose safety risks. Unmanned aerial vehicles (UAVs) offer a promising solution by enabling more frequent, spatially distributed, and cost-effective data collection. This study presented the design, development, and field evaluation of a UAV-based system for real-time, in-situ water quality monitoring. The system integrated multiple sensors, including oxidation-reduction potential (ORP), RGB spectrometry, pH, electrical conductivity (EC), dissolved oxygen (DO), and a multispectral spectrometer within a UAV platform.

Field testing was conducted …

Per- And Polyfluoroalkyl Substances (Pfas) In Cave And Withrow Springs, Arkansas, Luke A. Ahlemeier

Biological and Agricultural Engineering Undergraduate Honors Theses

The class of chemicals known as Per- and Polyfluoroalkyl Substances (PFAS) are believed to be widespread in the natural environment, but the full extent of PFAS prevalence is not well understood, particularly in karst springs. The objectives of this study were to (1) collect water samples from Cave Springs and Withrow Springs, Northwest Arkansas, (2) measure for concentrations of 40 PFAS compounds using EPA Method 1633, and (3) compare differences in PFAS concentrations and discuss potential sources of PFAS for each spring. Each spring was sampled on September 29, 2025, October 13, 2025, and November 10, 2025, and water samples …

A Systems Approach To Nitrogen Fertilizer Management: Modeling Emissions And Runoff Pathways In Arkansas Agriculture, Avonelle Lindon

Biological and Agricultural Engineering Undergraduate Honors Theses

Nitrogen fertilizer management is a critical challenge in modern agriculture. This thesis develops a system dynamics model of nitrogen in Arkansas rice and corn systems to explore barriers to translating agricultural research into practical farmer guidance.  The modeling process revealed key challenges: (1) scarcity of Arkansas-specific factors and best management practice (BMP) effectiveness data; (2) tension between model comprehensiveness and accessibility; (3) misalignments in conservation incentive structures; and (4) difficulty in validating models without field measurements. The resulting model demonstrates basic nitrogen cycle processes and BMP integration, but validation against published literature revealed significant issues with predictive accuracy. These findings …

Investigating Calcium Oxychloride Deterioration In Concrete: Analyzing Variation In Laboratory Testing Procedures, Standardized Testing Protocols, And Industry Implementation., Joey Roy Parker

Graduate Theses and Dissertations

Abstract Access to sustainable infrastructure is critical for society. In the U.S., over $350 billion is spent annually to maintain roadways providing access to education, medical care, and citizen consumer needs. Maintaining service of these systems during severe winter weather events is a significant challenge for maintenance personnel across the country. The use of deicing/anti-icing materials to lower the freezing temperature is a popular mitigation technique used to provide reasonable driving conditions during these times. The combination of these materials, freeze/thaw cycles, and precipitation produce perpetual deterioration and corrosion within reinforced concrete pavements and bridges. In the U.S., over 60% …

Stakeholder Perspective-Taking In Engineering Design: A Neurocognitive Approach, Megan C. Taylor

Mechanical Engineering Undergraduate Honors Theses

Stakeholder engagement is a critically important yet overlooked phase of engineering design. While addressing stakeholders is known to lead to more thoughtful design outcomes, little work has been done regarding how stakeholder personas influence brain activity while designing. This study asks if the introduction of stakeholder personas- short overviews of people affected by a design problem- affects brain activation in undergraduate students during three design tasks: stakeholder identification, stakeholder needs generation, and stakeholder needs prioritization. To test this, 18 undergraduate mechanical engineering students were given a stormwater management design vignette; one group was given four stakeholder personas, while the control …

A Review Of Ufgs And Ufc Specifications For The Mixture Design Process Of Military Airfield Concrete Pavements, Emaduddin Ahmad

Graduate Theses and Dissertations

Military airfield concrete pavements require exceptional durability and performance, guided by the stringent criteria of the Department of Defense (DoD) Unified Facilities Criteria (UFC) 3-25-04 and Unified Facilities Guide Specifications (UFGS) 32 13 14.13. Currently, the mixture design approval contains severe pre-construction bottlenecks, primarily due to comprehensive requirements of testing all aggregate sources within six months of project commencement. This rigid approach forces redundant and time-consuming laboratory tests, such as the ASTM C666 freeze-thaw durability test, to be conducted even when utilizing consistent aggregate sources. This thesis reviews the current UFGS mixture design process to identify critical bottlenecks in the …

Engineering Silicone Magnetic Fluids For Localized Radiation Attenuation During Ocular Melanoma Brachytherapy, Zachary L. Caprow

All Dissertations

Ocular melanoma is commonly treated using plaque brachytherapy; however, radiation-induced damage to healthy ocular tissues frequently results in partial or complete vision loss. This work investigates the development of an injectable, magnetically responsive silicone magnetic fluid designed to localize adjacent to the tumor and attenuate low-energy gamma radiation during treatment.

The material system consists of iron oxide nanoparticles surface-functionalized with a siloxane polymer, in which the nanoparticles provide magnetic responsiveness and radiation attenuation, while the polymer coating ensures colloidal stability, injectability, and biocompatibility. A one-pot synthetic approach was developed wherein a functionalized siloxane polymer containing iron-affinitive groups was reacted with …

Comparative Analysis Of Secure Messaging Systems: Peer-To-Peer Vs Client-Server Architecture, Maddie Luth

Theses/Capstones/Creative Projects

This research serves as an honors extension of a capstone project sponsored by Northrop Grumman, focused on the development of a secure messaging application, LockTalk. The study evaluates the performance of peer-to-peer and client-server network architectures within a messaging system. It compares these architectures based on key factors such as security, privacy, and reliability. The results are used to determine the most suitable architecture for implementation in LockTalk, with particular emphasis on protecting sensitive communications. This work highlights the trade-offs involved in selecting a network architecture and provides guidance for developing secure and efficient messaging platforms.

Predicting Personalized Myocardial Fibrosis Response Patterns Using A Mechanistic Signaling Network Model, Jared Noel

Chemical Engineering Undergraduate Honors Theses

Myocardial fibrosis is a key driver of heart failure progression and exhibits substantial patient-to-patient variability, complicating the development of effective personalized therapies. In this study, we present an integrated computational framework that combines a mechanistic signaling network model with patient-specific proteomic data to predict individualized fibrotic responses and therapeutic strategies. Using proteomic measurements from the Framingham Heart Study, we generated personalized baseline states and performed systematic in silico perturbation screens to evaluate candidate drug targets across 132 signaling nodes. Results reveal that while global network response structure is conserved, therapeutic efficacy varies widely between patients in both magnitude and breadth, …

Enhancing The Leaning Control And Braking Sensation Of A Virtual Reality Vespa Simulator, Joseph Boccuzzi, Wesley Bleck, Jacob Hannebaum

Honors Capstones

The 71 North Partnership Studio located in Northern Illinois University’s Founders Memorial Library has developed a prototype Vespa simulator featuring an interactive Virtual Reality (VR) game and reactive elements. A previous Mechanical Engineering Senior Design team developed the system and improvements after its original development were sought after over the course of the current school year. The system consists of a stationary bike that allows the rider to lean left and right, which in turn causes their in-game character to turn left and right accordingly, simulating the effect of riding a Vespa scooter within a VR environment. Improvements were made …

Optimization Of Stamped Tool Geometry Using Regression-Based Cost Models And Structural Constraints, Matthew J. Teague

Mechanical Engineering Undergraduate Honors Theses

Stamped steel paint can openers are simple tools but still require sufficient strength for the end user and low material consumption for the manufacturer. The goal of this project is to optimize the stamped design of a paint can opener by reducing material cost while maintaining structural rigidity and device performance. This was achieved in part by simplifying the tool’s geometry so that an equation for the mass could be developed analytically and checked against the simulation’s outputs. First, a 25-run design of experiments was created that varied the shaft length and the endloop diameter. Next, a CAD model for …

Mechatronics Rope-Walker Project, Tudor Constantinescu, Mario Andres Ulloa Avila, Issarakvong Un

Mechatronics Final Projects

Design Summary

The rope-walker robot is a mechatronic system that mechanically moves along a hanging rope. When hung onto the rope, it moves forward until it senses an obstacle in front of it (in this case a monkey placard at the end of the rope). The robot uses its arms to progress through the rope, while sensors detect when it is placed on the rope (so it begins moving along the rope), and when it encounters an obstacle in front of it (so it stops moving). An LCD display attached to the robot shows whether the robot is on the …

Climbing Robot Design, Cali Good, Dawson Durr, Matthew Miller

Mechatronics Final Projects

Design Summary

Our device, shown in Figure 1, is an autonomous rope-walking robot designed to travel across a suspended climbing rope. The robot waits until it is hanging from the rope, moves forward using a walking arm mechanism, and stops when it approaches the marker at the end of the course. The system is fully self-contained, with onboard batteries, sensors, controls, and mechanical components housed inside a laser cut acrylic body. The robot moves using pairs of rotating arms located on both sides of the body. These arms hook around and push against the rope, creating a repeated walking motion …

Spectral Characterization Of Colorectal Cancer Using Excitation-Scanning Hyperspectral Imaging, Natalie Hadad

Honors Theses

Colorectal cancer is one of the most common and deadly cancers worldwide, with a lifetime risk of approximately one in twenty-three for men and one in twenty-five for women. Although early detection significantly improves survival, current diagnostic approaches such as tissue biopsy are invasive, reliant on subjective interpretation, have extended turnaround times, and risk missing flat or depressed lesions that are more difficult to detect than raised polyps. These limitations highlight the need for objective, minimally invasive technologies capable of detecting early tissue changes. This study investigates excitation-scanning hyperspectral imaging (Ex-HSI) as a label-free optical approach for identifying colorectal cancer–associated …

Assessment Of Lake Water Quality Parameters Using Uav Hyperspectral Imaging, Hasanul Banna, Taufiqa Tajnin

Publications and Research

Monitoring water quality in lakes is critical for assessing ecosystem health, managing drinking water resources, and detecting harmful algal blooms. Unmanned Aerial Vehicle (UAV)–based hyperspectral imaging provides a promising approach for high-resolution observation of water quality parameters. In this undergraduate research project, hyperspectral imagery collected over sample lakes within the Delaware River Watershed was processed using BaySpec’s CubeStitcher software to assess its capability to detect variations in chlorophyll-a (Chl-a) concentrations. This work was conducted as part of a National Fish and Wildlife Foundation (NFWF)-funded project in collaboration with Princeton Hydro and NYC College of New York. Hyperspectral image cubes were …

A Multi-Criteria Decision And Spatial Modeling Framework For Socially Informed Advanced Air Mobility Implementation Planning, Noah Wesley Bretz

Graduate Theses and Dissertations

Advanced air mobility (AAM) is an emerging mode of transportation that integrates advanced aircraft technologies, such as manned air taxis or unmanned freight drones, to transport people and goods across urban and regional environments. While these technologies promise to transform mobility, successful implementation depends heavily on community acceptance, which is shaped by multiple social factors. This study presents a multi-criteria decision framework to evaluate and prioritize the key social factors influencing AAM adoption. A literature review identified six primary social factors: safety, noise, privacy and cybersecurity, automation, environmental impact, and price and economics. The Analytical Hierarchy Process (AHP) was used …

Experimental Data-Driven System Identification Of Scale-Model Airboat Dynamics For Control And Autonomy Applications, Miguel A. Trejos

LSU New Orleans Theses and Dissertations

To achieve autonomous control of a surface watercraft requires an accurate model describing the dynamics of the system. To this end, the modeling of dynamics of an airboat with a combustion engine-based propulsion system is investigated. Specifically, a black-box data-based approach using neural networks. To facilitate this, a custom data collection system was developed to record linear and rotational motion during field tests. Due to the airboats unique ability to traverse different terrains, not just water, the modeling of dynamics on different terrains was investigated.

Optimization-Based Power Management For Hybrid Towing Vessels: A Comparative Framework Toward Mission-Aware Control, Rachel K. Burchill

LSU New Orleans Theses and Dissertations

This thesis presents an optimization-based framework for power management in hybrid towing vessels operating under dynamic mission conditions. A physically consistent modeling approach is developed, incorporating battery state-of-charge dynamics (SOC), unified power flow, and operational constraints. The framework evaluates rule-based control using fixed heuristic thresholds, Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and multi-objective Non-Dominated Sorting Genetic Algorithm II (NSGA-II) under a representative harbor-assist mission profile. Results show that optimization-based methods significantly outperform rule-based control. PSO achieves the lowest fuel consumption and near-perfect tracking with minimal battery use, while GA provides balanced performance with moderate battery utilization. NSGA-II reveals a …

Model Stormwater Standards 2026, Unh Stormwater Center

UNH Stormwater Center

The purpose of post-construction stormwater management standards is to provide reasonable guidance for the regulation of stormwater runoff to protect local natural resources from degradation and prevent adverse impacts to adjacent and downstream land, property, facilities, and infrastructure. These standards regulate discharges from stormwater and runoff from land development projects and other construction activities to control and minimize increases in stormwater runoff rates and volumes, soil erosion, stream channel erosion, and nonpoint source pollution associated with stormwater runoff.

Effectiveness Of Quiz-Based Interventions In Virtual Reality Lectures On Learning, Mason T. Prather

Master's Theses

This thesis examined whether quiz-based interventions affect learning during an immersive virtual reality (VR) lecture and whether quiz timing strategy matters when prompts are delivered on a fixed timer or through gaze/Region of Interest (ROI)-based attention timing. The study used an eye-tracking virtual reality headset and a game engine-based classroom application. The final completed cohort included 29 participants assigned to three between-subjects conditions: No Intervention (n = 10), Timer-Based Intervention (n = 9), and Attention-Based Intervention (n = 10). All participants viewed the same virtual reality lecture and completed the same 15-item post-lecture assessment. Mean learning scores were 44.00% for …

Extremum Seeking Compensation And Quantification Of Position Sensor Offset Error In Speed-Controlled Permanent Magnet Synchronous Motors, Tessa Biondo

Masters Theses

Position sensor offset errors present a persistent challenge in speed-controlled permanent magnet synchronous motor drives operating under field-oriented control. Even small, constant offsets in the measured rotor position can reduce torque effectiveness, requiring increased current and voltage demand to maintain the commanded speed and resulting in degraded speed regulation performance across a range of operating conditions. These effects are particularly problematic in speed-controlled systems, where speed loop dynamics cause increased electrical effort and limit overall performance. Many existing detection and compensation approaches are either dependent on the system model, require offline calibration, or are primarily designed for torque-controlled operation. This …

Transient Mitigation In Dual Active Bridge Converter Using An Auxiliary Converter With High-Frequency Selective Control For Load Step-Down Condition, Sachith Dilshan Wijesooriya

Masters Theses

Dual Active Bridge (DAB) converters are widely utilized in applications such as electric vehicles, renewable energy systems, and solid-state transformers due to their high efficiency, galvanic isolation, and bidirectional power transfer capability. However, during rapid load transitions, DAB converters frequently exhibit significant output voltage overshoot and prolonged settling times, which increase device stress and adversely affect system reliability. This thesis proposes an auxiliary-circuit-based transient mitigation method to address these limitations. The auxiliary circuit, implemented as a bidirectional Buck–Boost stage, operates in Boost mode during load step-down events to absorb excess energy and suppress the resulting voltage overshoot. The design of …

Evaluation Of Radar-Derived Polarimetric Precipitation Estimates For Extreme Rain Events Using A Dense Network Of Rain Gauges, Bong Chul Seo, Witold F. Krajewski, James A. Smith, Alexander V. Ryzhkov

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The study evaluates radar-based quantitative precipitation estimations (QPEs) for 10 extreme rain events that occurred between 2013 and 2019 in the Kansas City metropolitan area, United States. These precipitation estimates were derived at hourly and approximately 0.5-km scales using two polarimetric QPE algorithms}one based on specific attenuation (A) and the other on specific differential phase (KDP)} for the study area covered by two overlapping radars in Topeka, Kansas, and Kansas City, Missouri. The polarimetric QPE assessment for extreme rain events was motivated by improved flood forecasting and precipitation frequency analysis. The analysis utilizes ground reference observations from a dense network …

Hardware Integration Of Preamble Based 802.11a Wi-Fi Frame Location For Usrp Radios, Nicholas P. Margavio

Honors Theses

Internet of Things (IoT) refers to a network of devices that can exchange information over the internet, and its deployments are projected to reach 30.9 billion by 2025, with most lacking encryption. One solution for these unencrypted devices is to use Specific Emitter Identification (SEI). SEI exploits distinct, native, and unintentional features of a radio’s signal to identify it and enhance wireless network security uniquely. For example, IEEE 802.11a Wireless-Fidelity (Wi-Fi) radio waveforms have a fixed structure that occupies the first 16 microseconds, from which SEI features can be extracted and used to identify the originating radio. By removing the …

A New Electroencephalography Electrode Design For Curly And Kinky Hair Types, Elena Butler

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

Medical discrimination and implicit bias are present in both societal systems and into the design and validation of medical devices. Traditional electroencephalography (EEG) systems often fail to provide reliable physiological recordings on curly and kinky hair types (3B–4C), associated typically with Black American and others of African descent. EEG on these hair types often results in high electrode-scalp impedance, poor signal quality, and participant discomfort. Consequently, such technical biases contribute to the underrepresentation of these populations in neuroscience research and clinical diagnostics, while simultaneously limiting equitable access to EEG-based medical care.

To address this gap, a novel conductive electrode attachment …

Beyond Local Pathology: Exploring The Role Of Gut Microbiota In Chronic Low Back Pain Using An Integrated Behavioral And Microbiological Approach, Adan L. Redwine

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

Chronic low back pain (LBP) affects millions worldwide, often originating from intervertebral disc (IVD) degeneration. While the gut microbiome modulates musculoskeletal pain, prior studies of the gut-disc axis have focused entirely on structural changes. This leaves a critical gap: does the microbiome influence the experience of discogenic pain? To answer this, an integrated approach using longitudinal gut microbiome profiling, machine learning-based behavioral phenotyping, and structural disc assessments in a rat model of discogenic LBP was utilized.

Female Sprague Dawley rats underwent one of four conditions: sham surgery, IVD injury, antibiotic-mediated microbiome depletion + IVD injury, or IVD injury + treatment …

Exploring The Role Of Video Games In Civil Engineering Education And K-12 Stem Engagement, Jillian S. Codron

Architectural Engineering

Civil engineering education has traditionally emphasized a linear progression from theory to application, with foundational concepts introduced in lecture before being reinforced through laboratory or design experiences. While effective for advanced learners, this approach can limit early engagement for K–12 students who may struggle to connect abstract principles to realworld engineering practice. This project examines the use of video games as interactive, feedback-driven environments for introducing civil engineering concepts and practices to younger learners in more exploratory and accessible ways.

The study pursues four primary objectives: evaluating the educational affordances of selected video games; examining how gaming experiences have influenced …

Securing Distributed Energy Resources: A Dnp3 Master Station With Semantic Web Integration For Decentralized Der Data Sovereignty, Ethan J. Coffman

Electrical Engineering and Computer Science Undergraduate Honors Theses

As current electrical grids trend toward a heavier reliance on DERs, there is a growing need to secure DER communications while maintaining data sovereignty for device owners. Previously, work by Donna Thakadipuram established the foundation for a decentralized framework using Solid by implementing a prototype that used a Raspberry Pi and a DSP to simulate Modbus traffic and upload the data to a Solid server. This thesis extends her work to simulate multiple DERs using Typhoon HIL and communicate to each device over DNP3/TCP. The system uses a Python-based DNP3 master to collect telemetry from all 12 DERs before transforming …

Performance Comparison Of A Two-Level And A Three-Level 1500v Three-Phase Grid-Tied Solar Inverter, Shawn Sproles

Electrical Engineering and Computer Science Undergraduate Honors Theses

With the global switch to renewable energy sources, photovoltaic energy has become an integral source to harvest from. When solar panels convert sunlight into a DC voltage, a grid-tied inverter is needed to transform this DC voltage into an AC voltage to interface with the AC grid. The most widely used topologies for grid-tied solar inverters are two-level three-phase inverters and three-level NPC three-phase inverters. Compared to two-level inverters, three-level NPC inverters have advantages such as lower EMI, lower THD, and lower switching losses. Moreover, three-level NPC inverters are shown to have higher efficiency in low-voltage applications at medium to …

Protocol-Aware Enforcement-Point Postcards And Collector Feedback For Ot/Ics Forensic Readiness And Closed-Loop Defense, Haden Fowler

Electrical Engineering and Computer Science Undergraduate Honors Theses

In this work, we apply P4-programmable switches to Operational Technology (OT) and Industrial Control System (ICS) traffic with the objective of turning enforcement decisions into structured forensic evidence that can also support fast, scoped feedback. OT investigations often rely on later correlation of endpoint logs, passive packet traces, and historian data, but those sources can be incomplete, hard to align in time, and missing the decision made at the enforcement point. We address this gap by implementing a P4-based enforcement switch that parses Modbus/TCP write traffic, applies protocol-aware policy checks, and exports protocolaware postcards to a collector. The collector stores …