Digital Commons Network^™

Underwater Image Identification Using Fuzzy Soft Planar Graph, Bhuvaneswari Natarajan Jayakar, Karthick Palanisamy

Mansoura Engineering Journal

High-attribute underwater image segmentation is fundamental to autonomous marine exploration, biodiversity monitoring, and subsea infrastructure inspection. However, underwater environments are inherently stochastic, exhibiting severe light attenuation, chromatic distortion, scattering effects, and noise, all of which significantly degrade image quality and challenge conventional computer vision techniques. Hence, Fuzzy logic which handles uncertainty and imprecision in data and Soft sets which manage parameterized information, are widely applied to underwater image analysis. Fuzzy Soft Planar Graphs (FSPGs) constitute a mathematical framework that integrates fuzzy set theory, soft set theory and planar graph structures for preserving spatial topology. The proposed methodology adopts a hybrid …

Li5feo4 As A Cathode Prelithiation Additive : Doping Engineering And First-Principles Research, Zixiang Li, Zile Zou, Jialan Li, Chennan Ma, Jiarun Li, Xiaoyu Liu, Jin Yi, Jianhui Li

Journal of Metals, Materials and Minerals

During the initial charge-discharge cycle, irreversible loss of active lithium (~ 5% to 15%) severely affects the battery energy density and shortens cycle life of lithium‑ion batteries (LIBs). Prelithiation strategy has gradually become an effective approach to compensate for the irreversible loss of active lithium. Lithium ferrate (Li5FeO4, LFO) is considered to be a promising cathode prelithiation additive due to its high theoretical capacity (867 mAh·g‒1), suitable delithiation potential (3.5 V to 4.1 V), and competitive raw material. However, the application of LFO is limited by the its properties including poor air stability, low electronic conductivity, and incomplete delithiation. Currently, …

Effect Of Mgo On Crawling And Physical Properties In Ceramic Glazes, Thongpanchang Timclub, Pathitta Anuraksombat, Thatree Muangkaew, Niti Yongvanich

Journal of Metals, Materials and Minerals

This study attempted to seek and verify the scientific aspects responsible for crawling in ceramic glazes. The selected additive was magnesium oxide (MgO). The glazes were applied on porcelain biscuits and fired between 1100℃ and 1300℃. The degree of crawling was enhanced with increasing amount of MgO, which was accompanied by formation of forsterite (Mg2SiO4) as a major phase. Complete island separation was achieved with 10 wt% MgO with good wettability and shiny surface. The morphology of the glaze demonstrated this phase as small crystals within the glaze layer. Addition of MgO resulted in a continuous decrease in the thermal …

Hybrid Interface Effect Of G-C3n4/Zno Nanocomposites On The Photoelectrochemical Cathodic Protection Of 304 Stainless Steel In Chloride Solution, Htet Yadanar Soe, Thanate Na Wichean, Jularpar Sunttiprapar, Parichart Chaum, Gasidit Panomsuwan, Oratai Jongprateep, Ratchatee Techapiesancharoenkij

Journal of Metals, Materials and Minerals

The development of efficient and environmentally friendly corrosion protection systems for metals in aggressive environments has become a critical area of research, particularly for stainless steel used in marine and industrial applications. In this study, a series of graphitic carbon nitride (g-C3N4) and zinc oxide (ZnO) composites with varying g-C3N4 weight ratios (10 wt% and 30 wt%), are integrated to form heterojunction structures with enhanced charge separation and interfacial activity. The g-C3N4/ ZnO (ZCN) composite thin films were prepared using a facile thermal mixing method and were characterized using XRD, SEM, BET, FTIR, UV-Vis, and PL to confirm their structural, …

C.A.S. Full Assessment Report: State Of Florida Government Portal, Delante Clark

Graduate Scholarship and Creative Works

The purpose of this assessment is to evaluate the cognitive overhead, transparency, and attentional integrity of

official State of Florida digital interfaces using the Cognitive Attentional Standards (C.A.S.) platform.

While the Florida Digital Bill of Rights (FDBR) establishes strict regulatory guardrails for consumer data

transparency, tracking opt-outs, and attentional safeguards, the State of Florida explicitly exempts its own

government agencies, public universities, and non-profit entities from complying with these rules.

This assessment serves to investigate the tension between legislative intent and government execution. By

analyzing public sector websites through the C.A.S. platform, this project will establish a “state-enforced vs.

state-executed” …

Towards Optimal And Resilient Ac/Dc Microgrids: Control Design, Analysis, And Implementation, Jun Zhang

Electronic Theses and Dissertations

Microgrids serve as a small-scale power grid for utilizing renewable energy to enhance energy reliability, sustainability, and resilience. As an autonomous system, an islanded microgrid can disconnect from the utility grid and operate independently by maintaining system voltage and frequency. However, this new feature introduces coordination problems among distributed generators (DGs), such as 1) how to make sure the voltage profile and current sharing in DC microgrid with different types of converters; 2) how to reduce the impact of cyberattack when the system coordination is performed based on communication, and 3) how to calculate the steady state under a droop …

Secure Peer-To-Peer Messaging Using Distributed Servers, Jack Stoller

Williams Honors College, Honors Research Projects

Traditional messaging systems that rely on centralized infrastructure often introduce three security vulnerabilities: single points of failure susceptible to availability attacks, metadata leakage, and man-in-the-middle attacks.

This project designs, implements, and validates a distributed peer-to-peer messaging system that addresses each of these concerns through architectural design. A consistent hash ring is used with virtual nodes to distribute user data across a mesh of connected nodes, eliminating centralized dependency on any single server. Message contents travel directly between browser clients over a WebRTC data channel secured with end-to-end DTLS encryption, bypassing the server infrastructure. Inter-node communication is protected by mutual TLS …

Brrbox, Shawn J. Myers, Lane Cline, Michael Davis, Christian Secrest

Williams Honors College, Honors Research Projects

This report details the project known as “The BRRBOX”, a reusable, insulated thermoelectric cooler developed to keep internal temperatures at refrigeration levels or cooler for at least 48 hours. The cooler will track its internal temperature during this period and be able to give the data at the end of its delivery cycle to keep up with food and pharmaceutical standards during delivery. The BRRBOX uses Peltier-based cooling alongside vacuum insulation panels and fans to achieve efficient thermal control. An onboard microcontroller will monitor temperature, record the data, and adjust the cooling output to minimize power consumption. The box will …

Automated Pill Dispenser, Ryan Oderkirk, Connor Beaven, Rachelle Labrie, Josue Panchana

Williams Honors College, Honors Research Projects

The project we propose is an automated system for dispensing dosages of medication throughout the day. It will be able to alert a user when their pills need to be taken and give them the correct dosages of up to four different medications. These dosages are configurable as well as the scheduled time they are to be taken. In addition, the pill dispenser will alert users when they are low on medications and need to refill the machine.

Adjustable Car-Camping Bed Frame, Zachary Lamonica, Mitchell Mcgrath

Williams Honors College, Honors Research Projects

This project explores an innovative camping solution designed to enhance mobility, comfort, and accessibility for outdoor enthusiasts. The first is the Adjustable Car-Camping Bed Frame, engineered to be lightweight, collapsible, and adjustable to various vehicle interiors. It prioritizes ease of setup, compact storage, reliability, and affordability, enabling convenient travel without sacrificing comfort. The design aims to simplify camping while maintaining durability. As an aerospace systems engineering student, I will apply systems engineering to the Bed Frame, using aerospace software and principles. The scope includes research, design, prototyping, and testing, with a focus on real-world usability and environmental adaptability. Additionally, my …

Automatic Pet Feeder Network, Daniel J. Herttna, David A. Bechtel, Alexander Deskovich

Williams Honors College, Honors Research Projects

This project will describe the design process and research behind the Automatic Pet Feeder Network, otherwise known as The Petwork. The system consists of a tank to hold the food, a latching system to drop the food at the desired time, a weight sensor to verify that the proper amount of food has been dispensed, a power supply unit that steps down 120V AC standard wall outlet power, & a microcontroller that will interpret the user's input from a mobile phone application. The networking portion is covered by having a primary and a secondary feeder. The mobile application will communicate …

Unmanned Aircraft Vehicle Safety Reporting And Analysis Of Incidents Utilizing Machine Learning, Cody Harrison

2026 Research Poster Competition

Unmanned Aerial Vehicles (UAVs) are rapidly evolving and being integrated into a wide range of applications, from commercial deliveries to police surveillance and recreational use. As UAVs become more prevalent, the complexity of operations and potential for incidents or accidents will continue to increase. Understanding why these incidents and accidents occur is critical to ensure safe and reliable drone operations as the industry continues to grow. To combat these issues, it is invaluable to analyze UAV incidents quantifiably to identify leading causes and risks in a streamlined and efficient matter. Current manual reporting systems often struggle with the sheer volume …

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

2026 Research Poster Competition

Current water quality assessment methods rely heavily on manual sampling and laboratory analysis, which are time-consuming and difficult to perform in remote or hazardous environments. In surface water monitoring, spatial and temporal resolution is often constrained by labor, access, and logistical limitations of manual sampling programs. This research aims to develop a drone-based system for real-time, in situ lake water quality monitoring. To address these challenges, the project focuses on integrating multiple water quality sensors, including oxidation-reduction potential (ORP), pH, electrical conductivity (EC), turbidity, and a multispectral spectrometer, into a compact, UAV-compatible design capable of collecting spatially referenced data. Methods: …

A Probabilistic Approach To Multiscale Simulation: Evaluating Machine-Learned Backmapping Models Of Diphenylalanine, Sage Paschall

2026 Research Poster Competition

Diphenylalanine (FF) has demonstrated the tendency to form several nanostructures, a subset of which are electrically conductive and have exciting potential applications in biotechnology and nanoelectronics. However, the exact mechanisms underlying this self-assembly process remain largely ambiguous. Atomistic-scale molecular dynamics (MD) simulations allow for the evaluation of atomic-level interactions crucial in understanding the driving thermodynamic forces behind self-assembly, but are too computationally expensive to span the necessary timescale to observe the self-assembly process in action. Coarse-grained (CG) models allow for simulation at the appropriate timescale but come at the cost of vital atomistic detail. It is therefore important to develop …

Flair- Flow-Level Anomaly Intrustion Recognition, Joseph Dumond

2026 Research Poster Competition

Industrial control systems (ICS) and industrial Internet of Things (IIoT) networks support critical infrastructure such as power generation, water treatment, and manufacturing. As these systems become more connected, they are increasingly exposed to cyber threats. However, many existing intrusion detection approaches rely on detailed packet inspection or supervised machine learning techniques that require labeled attack data and extensive tuning, making them difficult to deploy in real industrial environments.ICS networks typically generate highly regular and predictable communication patterns due to periodic control logic and deterministic device behavior. Because of this structure, abnormal or malicious activity often appears as a disruption to …

P4 Driven Data Plane Analytics For Industrial Control Network Security, Haden Fowler

2026 Research Poster Competition

Industrial control systems manage critical infrastructure such as power grids, water treatment plants, and manufacturing facilities. These systems rely on specialized network protocols to send measurements and commands between sensors, controllers, and operator workstations. Protecting these networks from cyberattacks is essential because a successful intrusion could disrupt services that millions of people depend on daily. Most current security monitoring approaches analyze copies of network traffic after it has already passed through the system. This delay means that malicious commands may reach their targets before any alarm is raised. More importantly, when alerts do occur, operators often lack the evidence needed …

Developing A Cpp-Conjugated Cas9 Library For Efficient Non-Viral Delivery To The Dmd Gene, Amie Donathan

2026 Research Poster Competition

Duchenne muscular dystrophy, or DMD, is a genetic neuromuscular disorder caused by the mutation of the DMD gene, resulting in alterations in the functionality or production of dystrophin, a protein essential to maintain muscle fiber integrity and strength. This mutation leads to progressive muscle degeneration, causing motor loss, cardiopulmonary failure, and ultimately, premature death. Gene therapies using CRISPR aim to replace the mutated gene to provide long-term correction. Although this has promise, CRISPR-based therapies use a viral vector to deliver, which presents notable challenges, such as immune problems and liver toxicity. A non-viral delivery method is a viable approach, but …

Application Of Matlab Simulation For Quantum Wells And Absorption Modelling, Mohamed Nur

Electrical Engineering Theses

The Quantum-Well User Entered Simulation Tool (QUEST), originally developed at the University of Texas at Arlington in 2005, is a simulation program built in MATLAB for computing energy eigenvalues and wavefunctions in user-defined semiconductor quantum well structures. This thesis presents a new revision and extension of QUEST with three primary contributions: compatibility updates to the existing MATLAB codebase, intersubband absorption modelling, and a redesigned graphical user interface for ease-of-use in testing.

The modernization effort for this program addresses incompatibilities introduced by changes to the MATLAB runtime environment since QUEST’s original release in 2005, including corrections to the self-consistent Schrödinger-Poisson solver …

Seeing The Invisible Load: Xr+ Multimodal Sensing For Cognitive Ergonomics In Industrial Training, Jessica M. Johnson, Andwele Grant

Virginia Digital Maritime Center (VDMC) Faculty Publications

Extended reality (XR) technologies are increasingly positioned as disruptive Industry 5.0 tools for human-centric industrial training and intelligent human–system integration. Coupled with multimodal sensing (eye tracking, EEG, HRV, GSR, and other physiological signals), XR environments promise to make otherwise invisible cognitive demands observable, especially for novice trainees entering complex industrial settings. Yet the evidence base is fragmented: (1) there is no quantitative synthesis of the cognitive ergonomics benefits of XR plus sensing; (2) little is known about which XR–sensor configurations yield the strongest effects; (3) prior reviews rarely focus on industrial and manufacturing tasks; (4) multimodal signals are used predominantly …

Make It Maritime: A Simulation-Based Engineering Design Challenge Using Multimodal Technologies, Jessica M. Johnson, Jennifer Renne, Jason Dudley

Virginia Digital Maritime Center (VDMC) Faculty Publications

This paper presents The Incredible Bulk, a multimodal, simulation-based engineering challenge that introduces Grades 4–12 to maritime careers and digital transformation. Students assume the roles of different maritime careers to assemble aircraft carrier bulkhead systems using: VR for spatial orientation and task preview; a 3D model as visual work instruction; paper blueprints for part identification and dimensioning; 3D-printed components for hands-on assembly; and an AR app for quality assurance/inspection. Grounded in constructionism and cognitive apprenticeship, the plan–build–inspect loop externalizes thinking and situates coached, authentic practice that advances engineering design, systems thinking, and technological literacy.

Minimizing Snow Loss On Fixed Tilt Solar Pv Installations Through Frame Material Selection And Installation Layout, David B. Wallis

Dissertations, Master's Theses and Master's Reports

This thesis investigates the effects of frame material selection, module orientation and module gaps on photovoltaic energy production in a snowy environment. These factors are easily implemented in new PV installations at minimal or no extra cost. These experiments are installed as fixed tilt arrays at 35° with DC current, DC voltage, and meteorological monitoring. The frame material and module gap experiments both produced actionable results. In the frame material experiment, consistent event level energy production gains resulted in seasonal production gains favoring aluminum framed modules. In the module gap experiment energy gains are independent of atmospheric conditions. The orientation …

Vibration-Based Control Of Nonlinear Dynamic Systems, Ossyris N. Bury

Honors Undergraduate Theses

This thesis investigates vibration-based stability as a mechanism for achieving self-stabilizing nonlinear dynamic motion in engineered systems. Inspired by biological hovering flight, in which periodic wing motion can passively enhance stability, the study explores how controlled oscillations can be used to stabilize otherwise unstable mechanical configurations. The research centers on a simplified dynamic model based on the Kapitza pendulum, an inverted pendulum with a vertically oscillating base, which serves as a foundation for understanding vibration-induced stabilization. Analytical modeling using Lagrangian mechanics is employed to derive the governing equations of motion and identify the excitation conditions required for stable inverted behavior. …

Investigation Of The Impact Of The Shape Of The Wings On Formula E Racing Car Performance: Enhancements For Optimal Aerodynamics, Ednie Marthe Adlaikah Jozil

Honors Undergraduate Theses

The aerodynamic performance of a Formula E chassis significantly dictates its overall race efficiency, directly impacting crucial parameters such as battery range and thermal management. This thesis investigates the external aerodynamics of the baseline Gen 2 Formula E car and evaluates the performance gains of two novel aerodynamic packages: a "Fully Modified" configuration and a "Flat Rear Wing" design. Computational Fluid Dynamics (CFD) simulations were conducted to analyze drag coefficients (Cd), downforce generation, and vehicle wake structures at race-relevant free-stream velocities (e.g., 37 m/s and 89 m/s). To ensure numerical robustness, the computational setup was validated using a smooth sphere …

Evaluating The Role Of Power Electronics In Enhancing Renewable Energy And Smart Grid Performance: A Review, Muhammad Irfan Habib

ASEAN Journal on Science and Technology for Development

The review article demonstrates the importance of power electronics in propelling the increase of renewables and increasing the efficiency of contemporary electrical grids. In particular, it highlights the need for bidirectional converters for effective energy management in vehicle-to-grid (V2G) systems with two-way power transfer. The paper examines the series of complications offered by the significantly large integration of power electronic converter-interfaced renewables, such as those related to system steadiness, power quality, and resignation bottlenecks. Also, it recognizes a mix of new technologies, such as wide bandgap (WBG) semiconductors like silicon carbide (SiC) and gallium nitride (GaN), that deliver superior performance …

Hybrid Model For Phishing Website Detection Using Transfer Learning, Atul Dubal, Mansi Subhedar, Santosh Dhamala, Manasi Patil

ASEAN Journal on Science and Technology for Development

The rapid digitization of human activities has intensified reliance on internet-based platforms, creating fertile ground for cybercriminal exploits such as phishing. Despite advancements in detection mechanisms, phishing attacks continue to evolve, leveraging sophisticated visual mimicry to deceive users. This paper proposes a robust vision-based phishing detection system using ensemble deep learning to analyse webpage screenshots. The framework integrates transfer learning with pre-trained VGG16 and DenseNet121 models, extracting complementary low-level texture features (edges, gradients) and high-level hierarchical patterns (logos, layouts). These features are fused through a custom classifier with dropout regularization to mitigate overfitting. A balanced dataset of 3,000 webpage screenshots …

Beyond The Binary: Navigating Ai’S Role In Palliative Ethics-A Review, Reebu Sara Varghese, Tijo Cherian

ASEAN Journal on Science and Technology for Development

Palliative care is being influenced by artificial intelligence, especially when it comes to data-related aspects. In this context, care can be enhanced in terms of the quality of its results and the level of its efficiency, particularly with the help of technological tools such as artificial intelligence, which is capable of managing different types of information in the field of health care. Such characteristics have the potential to improve the quality of patient care while at the same time reducing the workload of healthcare professionals in palliative care. However, there are considerable ethical issues that need to be addressed with …

Assessing The Influence Of Land Use Land Cover Alterations On Climate Variability In Thimphu & Chhukha, Sonam Zangpo, Karma Choki, Tashi Tobgay, Phurpa Rinchen, Tandin Tshewang

ASEAN Journal on Science and Technology for Development

This study examines the spatiotemporal dynamics of land use and land cover (LULC) changes and their influence on local climate variability in Bhutan using an integrated geospatial and machine learning framework. LULC changes during the period 2004 to 2022 were analyzed to understand their relationship with localized climate responses. Despite increasing urbanization pressures, comprehensive assessments linking LULC dynamics with climate variability in Bhutan remain limited. Geographic Information System (GIS) techniques and Random Forest classification were used to map LULC changes, while non-parametric trend analyses (Mann–Kendall test and Sen’s slope estimator) were applied to evaluate trends in key meteorological variables, including …

Seeing Feedback Differently: Enhancing Learning Through Individualized Video Feedback, Makenzie Khristine Keepers

2026 Scholarly Teaching Conference: Concurrent Session Papers

Students often seek feedback that goes beyond rubric scores, especially for complex assignments like project reports where expectations are nuanced. Transitioning from lengthy written comments to personalized video responses has proven to be an effective alternative. These videos provide students with clear explanations of strengths and areas for growth, while walking them through their work in detail. Feedback from learners suggest that video feedback feels more comprehensive and accessible, helping them better understand mistakes and apply corrections. Importantly, producing video feedback requires comparable effort to traditional written comments, yet offers greater impact for formative assessments that shape performance on summative …

Rubric Enhanced Assessment Of Coursework And Teaching (React): Using Portfolios And Rubrics In An Engineering Classroom To Refocus From Grades To Learning, Nathan Lee Galinsky

2026 Scholarly Teaching Conference: Poster Session Papers

The goal of using rubrics in an engineering classroom is to make grading clearer for students and to enhance the learning efforts. Point based grading of work leaves students looking for the correct numerical solution or choice without thinking about their assumptions, process, or approximations. A rubric dissects grading to include the entire solution procedure emphasizing key steps in a solution procedure. Students also don’t have to wonder where partial credit will be focused or what emphasis a solution will be graded on when using rubrics. By combining the rubric assessment techniques with portfolios, students will be empowered to feel …

Robotizing Complex Welding Processes Through Imitation Learning And Generative Models From Human Demonstration, Yue Cao

Theses and Dissertations--Electrical and Computer Engineering

Arc welding processes demand real-time adaptive control that current robotic systems cannot achieve autonomously. This dissertation develops a systematic framework to robotize complex welding by learning from human demonstration, integrating generative modeling, physics-informed reconstruction, and model-based imitation learning. First, human--robot collaboration systems are established for both Gas Tungsten Arc Welding (GTAW) and Double-Electrode Gas Metal Arc Welding, combining robotic teleoperation with virtual reality interfaces to capture high-quality operator demonstrations. Second, a physics-informed neural network framework reconstructs complete molten pool flow fields from high-speed imaging, enriching process understanding beyond direct sensor observation. Third, generative models, including a hybrid latent variational autoencoder …