Engineering Commons^™

Sidesense: Robust Physiological Motion Detection Via Mmwave Joint Communication And Sensing Systems With Multiple Beams, Mohammed Shadman Ishrak, Jannatun Noor Sameera, Alvin Yang, Yanjun Pan, Yao Zheng, Olga Boric-Lubecke, Victor M. Lubecke

Electrical Engineering and Computer Science Faculty Publications and Presentations

A 28-GHz multibeam joint communication and sensing system called SideSense is presented, in which a line-of-sight (LoS) beam is used to maintain reliable communication, while other sensing beams are used to enhance physiological motion detection. SideSense decodes the motion frequency and shape from the channel state information (CSI) by first tuning the gain ratio and phase differences between the LoS communication beam and non-LoS (NLoS) beam to maximize the sensing signal-to-noise ratio (SSNR) without significantly degrading the communication channel capacity (CCC). Analytical results based on a bistatic model are presented to show a gain ratio of around 1 and a …

Conservation Management Effects On Soil And Agronomic Properties In A Furrow-Irrigated Corn System In East-Central Arkansas, Jeferson P. Pimentel, Christopher G. Henry, Kris R. Brye, Benjamin R. Runkle, Amanda J. Ashworth, Edgar Mersiovsky, Kevin C. Thompson

Biological and Agricultural Engineering Faculty Publications and Presentations

Cover crops can improve soil physical properties and help to sustain agricultural crop yields. A 6-year study conducted from 2017 to 2022 examined the effects of conservation soil management practices in a furrow-irrigated continuous corn (Zea mays L.) system on a silt-loam soil (Typic Albaqualf) in the Lower Mississippi River Delta region of eastern Arkansas. This study compared the effects of conventional tillage (CT), no-tillage (NT), and no-tillage with cover crops (CC) in selected soil physical and chemical properties (i.e., soil bulk density (D b), porosity (& fnof;t), field capacity (Theta FC), Permanent wilting point (Theta PWP), Plant available water …

Nutrient Dynamics In Restored And Unrestored Urban Streams In The Piedmont Ecoregion Of South Carolina, Emily J. Jordan, Debabrata Sahoo, Calvin B. Sawyer, Jeremy W. Pike, Dara M. Park, Sarah A. White, Brian E. Haggard

Biological and Agricultural Engineering Faculty Publications and Presentations

The United States invests billions of dollars annually to perform stream restoration projects, yet few studies have investigated the effects this ecosystem manipulation has on nutrient cycling and associated water quality. Water quality improvement remains a substantial motivation for mitigating catchment-scale disturbances, especially in urban streams. Various urban land use practices impact the transfer and transport of nutrients such as soluble reactive phosphorus, ammonium, and nitrate plus nitrite from land into the streams and rivers. The uptake length (Sw), or the distance a dissolved nutrient travels downstream within a stream reach, can be measured using short-term nutrient injections, where shorter …

A Versatile Platform For Designing And Fabricating Multi-Material Perfusable 3d Microvasculatures, Nathaniel Harris, Charles Miller, Min Zou

Mechanical Engineering Faculty Publications and Presentations

Perfusable microvasculature is critical for advancing in vitro tissue models, particularly for neural applications where limited diffusion impairs organoid growth and fails to replicate neurovascular function. This study presents a versatile fabrication platform that integrates mesh-driven design, two-photon lithography (TPL), and modular interfacing to create multi-material, perfusable 3D microvasculatures. Various 2D and 3D capillary paths were test-printed using both polygonal and lattice support strategies. A double-layered capillary scaffold based on the Hilbert curve was used for comparative materials testing. Methods for printing rigid (OrmoComp), moderately stiff hydrogel (polyethylene glycol diacrylate, PEGDA 700), and soft elastomeric (photocurable polydimethylsiloxane, PDMS) materials were …

Highway-Transportation-Asset Criticality Estimation Leveraging Stakeholder Input Through An Analytical Hierarchy Process (Ahp), Kwadwo Amankwah, Sarah Hernandez, Suman Kumar Mitra

Civil Engineering Faculty Publications and Presentations

Transportation agencies face increasing challenges in identifying and prioritizing which infrastructure assets are most critical to maintain and protect, particularly amid aging networks, limited budgets, and growing threats from climate change and extreme events. However, existing prioritization approaches often lack consistency and fail to adequately incorporate diverse stakeholder perspectives. This study develops a systematic, stakeholder-informed method for ranking transportation assets based on their criticality to the overall transportation system. As a novel approach, we use the analytical hierarchy process (AHP) and present a case study of the applied approach. Six criteria were identified for ranking assets: annual average daily traffic …

Optimized Electrocoagulation Pre-Treatment For Fouling Reduction During Nanofiltration Of Lake Water Containing Microcystin-Lr, Thomas Mckean, Chidambaram Tharmaraiselvan, Sarah Do, S. Ranil Wickramasinghe

Chemical Engineering Faculty Publications and Presentations

Microcystin-LR (MCLR) is a toxin produced by harmful algal blooms that is emerging as a threat to drinking and recreational water systems worldwide. Nanofiltration (NF) is an effective technique for purifying contaminated water sources; however, membrane fouling caused by coexisting organic matter limits the practicality of the process. This research studies the use of an electrocoagulation (EC) pretreatment to limit fouling during the NF process. Water for this study was taken from Lake Fayetteville, a local body of water where MCLR concentrations have been recorded to be >15 µg/L. EC was performed using polyaluminum chloride as a background electrolyte at …

Comprehensive Risk Assessment Of Power Grids Using Fuzzy Bayesian Networks Through Expert Elicitation: A Technical Analysis, Yasir Mahmood, Nof Yasir, Nita Yodo, Ying Huang, Di Wu, Roy A. Mccann

Electrical Engineering and Computer Science Faculty Publications and Presentations

Power grid infrastructures, essential to modern societies for electricity distribution, are prone to vulnerabilities due to their numerous sensitive components, necessitating a comprehensive risk assessment. Uncertainty in historical failure data often compromises accurate risk quantification, leading to the integration of expert elicitation as a solution. This study develops a Bayesian network (BN) risk assessment model integrated with fuzzy set theory (FST), referred to as the fuzzy Bayesian network (FBN). By incorporating expert insights, this model quantifies internal and external risk variables more comprehensively. Crisp probabilities (CPr), derived from regional transmission operator (RTO) failure incident data, are complemented by fuzzy probabilities …

Modeling Rice Leaf Area Index And Canopy Height In The Us Mid-South Region, Ellie J. Kuhn, Beatriz Moreno-Garcia, Michele Reba, Kusum Naithani, Benjamin R. Runkle

Biological and Agricultural Engineering Faculty Publications and Presentations

Crop growth modeling plays a critical role in addressing the global challenges of food scarcity, carbon cycling, and water management. By simulating crop development from environmental factors, these models help predict harvest yield and carbon or water cycle terms and thus can inform policy and investment decisions. However, for some agricultural regions, such as the US Mid-South, there is a lack of comprehensive data specific to rice (Oryza sativa) cultivars and their growing conditions. Here, we use 30 field seasons of observational data to predict leaf area index (LAI) and canopy height (Hcan), key inputs for crop growth models, for …

Intercellular Stress Generation During 1d Collective Migration Of Cancer Cells, Logan Waddle

Physics Undergraduate Honors Theses

Physical forces drive many cellular processes such as migration and proliferation. A metastatic tumor will have invasive strands/chains that extend from the main tumor. These chains of cells collectively migrate away from the main tumor to establish new colonies elsewhere in the body. However, how physical forces drive this collective invasion and the required energy for this process is not well understood. Invasion of a metastatic tumor to surrounding tissues leads to a majority of cancer-associated death and is often a collective effort among cells, it is therefore important to fully understand the process behind collective cancer invasion.

The goal …

Enhancing Asphalt Mix Design Through Film Thickness And Bailey’S Gradation Method, Lydia Quinn

Civil Engineering Undergraduate Honors Theses

Contemporary asphalt research aims to strike a balance between rutting and fatigue cracking to enhance pavement longevity. The performance of asphalt mixtures is influenced by factors such as aggregate gradation and asphalt film thickness. Although gradation typically adheres to the mid-gradation method, asphalt film thickness is included in certain mix designs, even though it is not universally regarded as an essential parameter. Nonetheless, no current method primarily addresses both gradation and asphalt film thickness together. In this research, aggregate gradations were designed using the principles of Bailey’s method along with various other criteria such as control points, the dust to …

A Statistical Investigation Of The Parameters Influencing Rutting And Cracking Performance In Asphalt Mixtures, Alexis Light

Civil Engineering Undergraduate Honors Theses

Durable pavement is essential for modern transportation infrastructure, especially in the United States of America which boasts over 8.5 million lane miles of roads and highways. Despite advanced construction techniques, asphalt pavements are susceptible to rutting and cracking, significantly affecting their performance and maintenance costs. Current methods for analyzing rutting and cracking in asphalt mixtures rely on various parameters, leading to measurement variability. This highlights the need for more rigorous analysis to explore the relationship between mix design variables and pavement performance. This research explores the IDEAL-CT and APA data from 171 mix designs collected by the Arkansas Department of …

Effect Of Beam Bracing On The Seismic Performance Of Laterally Skewed Reduced Beam Section Moment Connections With Composite Concrete Slabs, Pratik Ghimire

Graduate Theses and Dissertations

Existing experimental reduced beam section (RBS) moment frame investigations, particularly those used for prequalification in AISC-358, consider orthogonally oriented beam-to-column connections. While the design commentary provided in AISC-358 references recent skewed SMF numerical studies and potential performance effects when a lateral beam skew is introduced, limited experimental studies have been performed to verify the numerical findings. This study presents an experimental investigation into the cyclic behavior of RBS special moment frames that have lateral skew at the beam-to-column connection and composite concrete slabs. In this study, a skewed composite double-sided RBS connection is tested, having beam bracing outside the RBS …

Novel Atomic Layer Deposition Processes Of Silver For Battery Applications, Darlington Ehijie Imhanzuaria

Graduate Theses and Dissertations

This thesis presents a novel approach to enhance the performance and stability of anode-free lithium-ion batteries (AFLBs) by employing atomic layer deposition (ALD) to coat copper (Cu) current collectors with a silver-aluminum oxide (AgAlO_x) layer. Leveraging the unique capabilities of ALD for precise and conformal deposition, the AgAlO_x coating was achieved using triethyl phosphine-(6,6,7,7,8,8,8-heptafluoro-2,2-dimethyl-3,5-octanedionato)-silver(I) (Ag(fod)(PEt₃)), trimethylaluminum (TMA), and de-ionized water (H₂O) as precursors. This innovative coating method significantly enhanced the cycling stability and Coulombic efficiency (CE) of both Li||Cu and Cu||NMC811 cells, as evidenced by improved electrochemical performance metrics. The AgAlO_x layer …

Sample Archival System For Quantum Device Manufacturing: Design, Construction, And Integration, Corbin Russ

Graduate Theses and Dissertations

In the manufacturing of quantum devices using 2-dimentional (2D) materials, current processes rely on manual operations of production. MonArk Quantum Foundry is developing a facility to semi-automatically, and ultimately automatically, produce 2D materials. One crucial step in the experimentation process is archiving these materials and completed chips for future access. The sample archival system robot was produced to fulfill this need. The system is a 4 Degree-of-freedom (DOF) cartesian storage system that stores custom aluminum chip trays of sixty samples, having a total storage capacity of 14,400 samples. The sample archive system meets key goals from: it integrates with the …

Thermal Design And Control Of A Pcb-Based Solid-State Gas Generator (Ssgg) Heater For Space Applications, Chandler Dye

Graduate Theses and Dissertations

This thesis presents the development and experimental validation of a compact, solid-state gas generator (SSGG) heater integrated into a printed circuit board (PCB) for use in satellite deorbiting systems. Designed for CubeSat-class spacecraft, the system produces gas via the thermal decomposition of sodium azide (NaN₃). The project emphasizes minimal mass, low power consumption, and mechanical simplicity – key constraints for modern space missions. The heater system relies on Joule heating through patterned copper coils embedded within the PCB structure. NaN₃ is deposited into wells drilled into the board surface, where localized heating initiates its decomposition near 300°C. A range of …

Using Scaffolding, Gamification, And Self Awareness To Create Responsive Ux/Ui In Cad Software To Nurture Metacognition In Novice Users, Obed Ibrahim Gonzalez

Graduate Theses and Dissertations

Computer-aided Design (CAD) software represents a significant shift from manual and analog design processes to digital workflows, offering substantial utility, accuracy, and productivity benefits. However, CAD software often presents a steep learning curve, particularly for novice users who are new to the software or possess only basic knowledge. Traditional CAD curricula have predominantly focused on technical problem-solving—teaching tools and systems—while often neglecting strategic knowledge that encompasses reflection, planning, and refining, which are essential components of metacognition. Metacognition is crucial for transforming novices into experts who use fewer and more complex commands, employ sophisticated planning, and achieve their goals more efficiently. …

Development And Investigation Of A Novel Near-Wall Methodology For Large-Eddy Simulation Based On Dynamic Hybrid Rans-Les, Michael Tullis

Graduate Theses and Dissertations

The use of computational fluid dynamics (CFD) to test engineering designs with reduced cost and time compared to physical testing has become increasingly common in a range of industries and research fields. While numerical methods exist that can accurately solve the equations that govern the flow of fluids, these methods are computationally expensive for practical engineering problems due to the large amount of computational power needed to resolve the fluid flow over the entire range of length and time scales. Several different approaches have been introduced to address this computational cost issue, namely Reynolds-averaged Navier-Stokes (RANS) modeling and scale resolving …

Mechanical Properties And Microstructural Characteristics Of Hydrated Bcsa Cement At Extreme Temperatures, Behzad Farivar

Graduate Theses and Dissertations

Belitic Calcium Sulfoaluminate (BCSA) cement is an alternative binder known for its rapid setting and high early strength, making it ideal for applications such as fast-track construction and repair. This study presents a comprehensive investigation into the behavior of BCSA cement under a wide range of curing temperatures, with emphasis on early-age strength development, admixture effects, and the use of the maturity method for strength prediction.

The research evaluates BCSA cement performance in both hot and cold environments, ranging from approximately -28.9 °C (-20°F) to 49 °C (120°F). In warm climates, citric acid was used as a set retarder to …

Analysis Of The Mechanical, Microstructural, And Biocompatibility Properties Of Novel Magnesium-Based Hybrid Nanocomposite Materials For Orthopedic Applications, Thomas H. Mcgehee

Biomedical Engineering Undergraduate Honors Theses

Bone fractures and complete joint replacements are becoming more common, primarily because of accidents and age-related issues. Conventional solutions to treat these orthopedic injuries involve inert metal alloys to correct bone fractures until the healing process is complete, where a secondary revision surgery is then required to remove the implant. Issues regularly associated with these solutions include stress shielding, bone resorption, infection, inflammation, and implant loosening. Magnesium (Mg)-based nanocomposites offer promising potential as an alternative to commonly used metal alloys because of their favorable mechanical properties and biocompatibility. A particularly advantageous property of Mg is its natural biodegradation in vivo, …

Gene Mutation And Chemotherapy Response In Azoxymethane Induced Colorectal Tumors, Maya M. Vance

Biomedical Engineering Undergraduate Honors Theses

Colorectal cancer research is a field of increasing importance as disease prevalence continues to increase over time. In looking at the origin of the disease, a driver gene known as p53 is of particular interest for its role in the stimulation of the mutated Wnt pathway. Developing as a missense-type mutation, this gene that ordinarily functions as a tumor suppressor is investigated as a gene of interest for tumor development. In this study, a mouse model was used to examine the development of colorectal cancer with a total of n=34 samples, including n=9 tumors and n=25 colons. The concentration of …

Exploring User Sentiment On Social Issues Via Neural Network Transfer Learning In Digital Communities, Ananya R. Vangoor

Electrical Engineering and Computer Science Undergraduate Honors Theses

Understanding public sentiment on social issues is crucial for gauging the stance of the general population. Traditionally, surveys have been a common approach for this. However, to capture more candid opinions, social media provides a rich source of unadulterated opinions. By analyzing social media statements, we can gain insights into the perspectives of specific groups. More specifically, we will investigate the attitudes of the public into the relationship between hard work and success in the workplace.

Using a neural network trained on tweets from X, formerly known as Twitter, we can categorize each tweet as either pro-luck or pro-meritocracy. But …

Ddos Detection And Mitigation Using Multiple Programmable Switches For Industrial Network Security, Seth Howard

Electrical Engineering and Computer Science Undergraduate Honors Theses

Given the exponential growth in our infrastructure’s reliance on digital systems and large interconnected networks to operate, cybersecurity efforts have not been able to keep up with vulnerabilities attackers can exploit. Specifically, their reliance on industrial network protocols in Supervisory Control and Data Acquisition (SCADA) systems. These protocols are great in terms of the functionality they provide, but are severely lacking in terms of security, leaving the networks vulnerable to cyberattacks. One of the more common protocols, Distributed Network Protocol 3 (DNP3), is particularly vulnerable to Denial-of-Service type attacks. In this work we explore the use of P4-based programmable networks …

Evaluation Of Two Methods Of Automated Adversary Emulation, Norah J. Rogers

Electrical Engineering and Computer Science Undergraduate Honors Theses

The purpose of this paper is to present a framework for selecting between two methods of Automated Adversary Emulation (AAE). As IT systems become increasingly complex and interconnected, adopting a zero-trust mindset of cybersecurity is essential. This mindset extends to cybersecurity testing, where a combined offensive/defensive approach ("purple teaming") can utilize adversary emulation to uncover vulnerabilities efficiently and effectively. While AAE is rapidly gaining traction across various industries and applications, there is limited guidance in the current literature on how to choose the optimal method for different testing scenarios. This paper defines two common approaches to AAE and examines eight …

Synthetic Dataset Generator To Assist In Training Of Multilayer Perceptron Based Neural Network, Megan Leach

Electrical Engineering and Computer Science Undergraduate Honors Theses

Synthetic dataset generation attempts to solve the issue of needing large datasets to train models and observe behaviors in both a cost and time effective way. This project aims to highlight the value of synthetic data creation and how it was useful when training a neural network model by creating a synthetic dataset generator for a specific model in order to evaluate its behavior in difference scenarios. The model that was used in this project was created to select high-quality papers while maximizing the diversity of authors based on race, gender, and country characteristics, essentially mimicking a review process. The …

Automation Programming For Uhv-Cvd Growth Of Group Iv Materials, William Hay

Electrical Engineering and Computer Science Undergraduate Honors Theses

The automation programming of a UHV-CVD reactor for group IV materials was performed. The reactor was programmed to perform all the necessary functions for a Germanium (Ge) growth with little response from the user. The overall goal was to fix an Argon purge program to clean out the process chamber of gases and create an Excel output program to ease any work on the user. There were also general fixes and address name changes that occurred throughout the program. Then, a one step and two step growth of a Ge material was formed in a UHV-CVD reaction for analysis. Germanium …

Defect Characterization Of Sic Schottky Barrier Diode Using Deep Level Transient Spectroscopy, Zachary I. Mccoy

Electrical Engineering and Computer Science Undergraduate Honors Theses

The aim of this project is to use deep level transient spectroscopy (DLTS) to energetically evaluate defects by using the carrier concentration dependence on temperature and where these carriers may experience deviation from standard predictions. These defects become apparent through multiple C-V measurements that are swept through a temperature range. By analyzing trends with respect to temperature, the defects can be energetically “located,” and thus identified. This identification can help streamline semiconductor material manufacturing/growth because DLTS identifies potential defect causes by providing data to characterize semiconductor mid-band defects. DLTS can assess nearly all parameters associated with traps/defects including density, thermal …

An Approach Of Implementing Mtncl And Mtd3l Asynchronous Logic Paradigms On Fpgas, Kile T. Harvey

Electrical Engineering and Computer Science Undergraduate Honors Theses

This thesis describes the creation of component libraries for the implementation of Multi-Threshold NULL Convention Logic (MTNCL) and Multi-Threshold Dual-spacer Dual-rail Delay-insensitive Logic (MTD³L) on AMD 7 Series, AMD UltraScale, and AMD UltraScale+ FPGAs. The utilization of these libraries is identical to those used in the creation of MTNCL and MTD³L application-specific integrated circuits (ASICs), leading to intuitive use for designers familiar with the logic paradigms. Single-stage and pipelined designs were created using both libraries, which were then tested and verified to be logically equivalent to their ASIC counterparts. Future work will include creating and testing …

Design, Simulation, And Testing Of Planar Transformer For Smart Green Power Node (Sgpn) Isolation Using Ansys, Brooke Scott

Electrical Engineering and Computer Science Undergraduate Honors Theses

The goal of this project was to design and simulate a small, high-frequency, planar, ferrite-core transformer which can be used in a variety of applications, the most relevant of which is photovoltaic (PV) converter systems, which often require bulky transformers to function properly. The current research involved several processes: (1) Understanding and designing a tutorial for the use of Ansys software to aid in the efficient development and modeling of transformers, (2) designing and simulating a planar transformer in Ansys to be used in a solar converter, specifically the Smart Green Power Node (SGPN), and (3) testing the planar transformer …

Investigation And Characterization Of Silicon Carbide Power Mosfets, Vincent Hassman

Electrical Engineering and Computer Science Undergraduate Honors Theses

As engineers constantly seek to make solar power systems smaller, cheaper, and more efficient, technological enhancements in the electronics that run them are required. One of the most fundamental electronic components of any solar system is the inverter, which takes DC current from the solar cell and turns it into AC current that is supported by the grid. This is done with metal oxide semiconductor field effect transistors (MOSFETs). Through more advanced MOSFET technology, inverters can switch at a higher frequency, increasing efficiency and reducing size and cost.

MOSFET performance can be enhanced by swapping the traditional silicon substrate with …

Personalized Model Of Cardiac Fibroblast Signaling Using Patient-Specific Data, Elizabeth A. Schuler

Chemical Engineering Undergraduate Honors Theses

Heart disease is the leading cause of death worldwide for both men and women, and cardiac fibroblasts are critical to heart form and function. Essential roles of cardiac fibroblasts include cell-cell communication, cell-cell signaling, and synthesizing and degrading the extracellular matrix (ECM), which controls structural support and tissue repair of the heart. Abnormal fibroblast signaling can lead to negative impacts, including fibrosis, impaired heart function, and inflammation. A computational model of cardiac fibroblast signaling on Netflux and MATLAB software was adapted and utilized to determine the effect of patient-specific levels of cytokines, hormones, growth factors, peptides, and membrane tension on …