Engineering Commons^™

Advanced Strategies For Improving The Robustness Of Deep Learning, Keyu Chen

USF Tampa Graduate Theses and Dissertations

Machine Learning (ML) and Deep Learning (DL) have achieved great success across diverse fields in the last decades, such as facial recognition, medical diagnosis, and language translation. The success, however, largely hinges on the assumption that the training and testing data share the same distribution or domain. In practice, real-world data often exhibits domain shifts, leading to notable degradation in model performance. Hence, the generalization capability of machine lea=rning models is of great importance, which refers to the domain generalization problem. In this dissertation, we present DADG, an effective algorithm for domain generalization, aiming to learn domain-invariant features from seen …

Investigation On The Impact Of Loading Effect Of Fruit Juices On The Performance Of Pulsed Electric Field Generators, Devi S

Theses and Dissertations

Pulsed Electric Field (PEF) treatment is one of the efficient non-thermal food processing techniques which is being preferred as a replacement for thermal pasteurization methods. The effectiveness of PEF treatment was measured in terms of reduction in the microbial load in the food, extension of shelf life of the food and retention of nutritional properties of the food. The successful implementation of the PEF treatment depends upon various aspects such as design of pulse generator, parameters of pulse generator, shape and size of the treatment chamber and most importantly the characteristics of each food items. Design and fabrication of a …

Quality Assurance Of Cast-In-Place Foundation Elements, Tristen Mee

USF Tampa Graduate Theses and Dissertations

Construction of cast-in-place concrete deep foundation elements is a common practice, yet performed almost entirely blind, leaving uncertainty in the quality of the as-built, below-ground element. This dissertation focuses on three quality assurance aspects of cast-in-place foundations: an automated concrete tracking system for drilled shafts, an alternate approach to identifying if mass concrete conditions exist in cast-in-place foundations, and as-built auger cast pile grout volume determination.

The volume of concrete in a drilled shaft is relatively easy to track on a truck-by-truck basis, as well as the height of the rising concrete per truck. However, a more detailed volume distribution …

Control Of Multiagent Networks With Misbehaving Nodes, Emre Yildirim

USF Tampa Graduate Theses and Dissertations

The overarching objective of this dissertation is to introduce system theoretical frameworks in control of misbehaving multiagent networks subject to limited resources (i.e., limited number of driver nodes), and the presence of disturbances and/or uncertainties (i.e., misbehaving nodes). Below, we briefly summarize each problem studied in this dissertation with their proposed solutions.

Specifically, we first consider multiagent networks subject to misbehaving nodes over fixed undirected graph topologies. To address this problem, we apply proportional-integral control signals to a subset of nodes (i.e., driver nodes) in the network to address the undesired effects arising from misbehaving nodes. Since multiagent networks with …

Modeling And Simulation Of The 12-Meter Antenna, Antonio Pires

Morehead State Theses and Dissertations

A thesis presented to the faculty of the College of Science at Morehead State University in partial fulfillment of the requirements for the Degree of Master of Science by Antonio Pires on November 11, 2024.

Design, Fabrication, And Characterization Of Electro-Optic Radio-Frequency Probes For High Field Environments, Michael D. Sherburne

Electrical and Computer Engineering ETDs

Design, Fabrication, and Characterization of Electro-Optic Radio-Frequency Probes For High Field Environments

Development Of A Coating For Radiative Cooling Of Buildings, Sudhansh Pramod Harkut

USF Tampa Graduate Theses and Dissertations

This thesis investigates passive daytime radiative cooling (PDRC), aiming to enhance cooling efficiency for building applications. The study addresses the pressing need for effective and cost-efficient cooling solutions to mitigate global warming and reduce energy consumption. The research begins with a detailed literature review, tracing the evolution of radiative cooling materials and identifying existing research gaps. Experimental investigations involved testing various coatings, including combinations of aluminium phosphate, sodium silicate, polyvinylidene fluoride (PVDF), and wollastonite. Among the tested configurations, an acrylic-based coating incorporating barium sulphate (BaSO4) and calcium carbonate (CaCO3) was found to maintain temperatures around ambient levels under intense solar …

The Impact Of Hearing Aid User Speech On Environment Classification And Own Voice Listener Preferences, Robert Andrew Budinsky Iii

USF Tampa Graduate Theses and Dissertations

Hearing aids (HA) have improved over the past few decades with advanced signal processing, such as environment classification and background noise reduction, but are still limited by challenges related to when the user is speaking. These challenges include the potential interference a HA user’s voice has on device environment classification and the potential influence a HA has on own voice (OV) sound quality. However, the effects of OV on HA environment classification and signal processing are not well established, nor are the desired HA program settings regarding OV listening preferences. In this study, a combination of electroacoustic and behavioral methods …

Biodegradable Polymeric Microspheres For Magnetically Guided Drug Delivery To Tumors, Tyler Payson Green

Theses and Dissertations

This thesis investigates the feasibility of utilizing biodegradable polymeric microspheres loaded with the anticancer drug 5-fluorouracil (5FU) and superparamagnetic iron oxide nanoparticles (SPIONs) to magnetically deliver the cancer therapeutic 5FU to a target tumor in the human body. The primary method of material loading consisted of a w/o/w double emulsion mechanism which 1) loads and protects 5FU in the inner water phase consisting of distilled water and polyvinyl alcohol (PVA), 2) dispersed SPIONs in the biodegradable polymeric organic phase consisting of methylene chloride (MeCl2) for eventual magnetic transport, and 3) suspended these w/o emulsion droplets in an outer aqueous phase …

Deterministic Transport Of Coupled Energetic Light-Ions And Neutrons With Application To Inertial Confinement Fusion, Kyle Beling

Nuclear Engineering ETDs

Numerical simulations of an inertial confinement fusion (ICF) target during the implosion process require high fidelity models of the radiation transport process. This work is interested in the transport of high-energy light-ions and neutrons in a background ICF plasma. As these energetic particles slow down, they experience knock-on (recoil) and thermonuclear (TN) collisions with the light-ions in the background plasma. These recoil and TN collisions excite the background light-ions causing them to transport through the plasma further exciting background light-ions. Mathematically, this cascading effect is described as a system of linear Boltzmann transport equations coupled through recoil and TN collision …

Physical Layer Entropy Analysis For Physical Unclonable Functions, Jenilee Jao

Electrical and Computer Engineering ETDs

Process variations within Field Programmable Gate Arrays (FPGAs) provide a rich source of entropy, making them well-suited for the implementation of Physical Unclonable Functions (PUFs). This dissertation presents three studies on FPGA-based PUFs. First, we explore a ring-oscillator (RO) PUF that leverages localized entropy from individual look-up table (LUT) primitives, analyzing design bias. Next, we investigate delay variations that occur through the routing network and switch matrices of FPGAs using a feature of Xilinx called dynamic partial reconfiguration (DPR). Finally, we evaluate entropy across FPGAs from Xilinx, Altera, and Microsemi using the Shift-Register Reconvergent-Fanout (SiRF) PUF architecture to compare path …

Nature Inspired Optimization For Spectrum Sensing And Allocation In Cognitive Radio Networks, Saravanan R

Theses and Dissertations

Cognitive radio (CR) refers to intelligent radio technology that scans its environment to optimize spectrum use and adjusts its parameters accordingly. It employs a communication system that is aware of its surroundings, including spectrum usage and availability. A key aspect of CR is identifying idle channels by analyzing traffic patterns using effective learning strategies.

However, CRNs face challenges such as cross-layer design issues, spectrum sensing errors, hidden node problems, and complex spectrum management. Spectrum sensing is critical for accessing unused radio spectrum while minimizing interference. Efficient sensing techniques must be cost-effective, fast, and capable of detecting weak primary signals. Although …

Biofabrication Of Tissue Constructs Using Protein-In-Polysaccharide Bioinks For Muscle Regeneration, Harshavardhan B

Theses and Dissertations

Myocardial infarction (MI) and volumetric muscle loss (VML) are debilitating conditions that severely affect patient quality of life and challenge healthcare systems, particularly in diagnosis and treatment. Conventional therapies often result in long recovery periods with limited functional restoration. Advances in regenerative medicine, especially extrusion-based 3D bioprinting, offer promising potential to improve the regeneration of complex tissues by precisely depositing cells and biomaterials layer-by-layer to create tailored tissue constructs.

A critical challenge in muscle tissue regeneration is developing protein-polysaccharide bioinks that closely mimic the native muscle tissue microenvironment. In this study, two protein-inpolysaccharide bioinks (alginate-fibrinogen and methylcellulose-gelatin-alginate) were developed to …

Ai-Enabled Methodological Frameworks To Enhance The Robustness Of Machine Learning Models In Various Domains And Dynamic Environments, Mohammad Noroozi

USF Tampa Graduate Theses and Dissertations

This dissertation explores novel approaches to address complex challenges in various domains, focusing on ensuring that machine learning (ML) models can reliably detect both the data they are trained on and unseen data. Reliable detection of unfamiliar inputs is critical for deploying models in real-world applications, where performance can degrade when faced with novel or unexpected information. Each domain addressed in this work introduces a set of contributions aimed at enhancing model performance, broadening generalization through diverse training data, and improving robustness against adversarial attacks. Three sets of contributions are presented, each encapsulated in a chapter.

One of the contributions …

Advancing Drug Discovery And Disease Understanding Through Knowledge Graphs And Machine Learning Techniques, Swastika Tenkila Purushotham

Electrical and Computer Engineering ETDs

This thesis investigates knowledge graphs with particular reference to the NIH-funded Common Fund Data Ecosystem Data Distillery project. By combining data from nine Common Fund projects and other sources, this project has created a large knowledge graph using Neo4j. To find new and undiscovered drug targets, UNM’s Illuminating the Druggable Genome (IDG) Data Coordinating Center has supplied data and use cases. Condensed Knowledge Graph, a condensed version that is based on the Data Distillery Knowledge Graph, improves usability for IDG applications. Condensed Knowledge Graph research endeavors to enhance data organization through the categorization of disease terms, examination of Cerebellar Stroke …

Integrating Gis And Ca-Markov Model To Study Urban Dynamics Of Salem, India In Terms Of Pattern, Intensity And Direction, Linda Theres B

Theses and Dissertations

Urban populations have grown substantially in the modern era and the information age as people seek better living prospects. Currently, more than half of the world's population resides in the cities. Such growth must be monitored to ensure that people enjoy the boons of urban spaces, not the banes. Recognising the significance of urban studies, several researchers have attempted to analyse and predict urban dynamics using remote sensing, Geographic Information Systems, and machine learning methods. However, certain limitations exist, especially in improving the CAMarkov model's prediction performance. In addition, studies have suggested that growth characteristics, such as pattern, intensity, and …

Impaired Speech Recognition Of Neurological Disorder Persons Using Machine Learning And Deep Learning Techniques, Vishnika Veni S

Theses and Dissertations

Speech Assistive Tools have emerged in recent years to support individuals with cognitive and neurological disorders in the field of assistive technology. People affected by neurological disorders such as autism, stroke, cerebral palsy, dysarthria, Parkinson’s disease, and brain injury often find it difficult to articulate desired sounds, resulting in impaired speech. As the population of impaired speakers continues to increase every year, there is a strong need to develop intelligent speech recognition systems for affected individuals. The primary objective of this research is to develop an Impaired Speech Recognition (ISR) system for the Tamil language. Word Recognition Accuracy (WRA) is …

Evaluation Of Green Supercapacitor For Low Pass Rc Filter Implementation, Ramakrishna Kanneganti

USF Tampa Graduate Theses and Dissertations

The need for use of sustainable and eco-friendly methods and processes in electronics is the need of the hour. The demand for electronics is growing by the day, consequently the use of passive components such as capacitors, resistors, and inductors is ever growing. It is desirable to manufacture and utilize passive components that are easily disposable and are biodegradable. Our research focuses on evaluating PolyMaterials APP’s supercapacitor in RC filter circuits replacing the conventional capacitor. The evaluated supercapacitor is biodegradable and does not use any heavy or contaminating metals. In this work, we have successfully evaluated various green supercapacitor component …

Hypoxic Incubator: Improving Robustness/Reliability And Demonstrating Physiological Efficacy, Damon Dennis Tan

Master's Theses

The Microphysiological Systems Laboratory aims to develop colorectal cancer tumor models under a hypoxic environment to assess model response to pharmaceutical compounds in vitro. To perform relevant studies, researchers have attempted to use different hypoxic inducing strategies such as a nitrogen pod and hypoxic incubator to recreate in vivo physiological responses to hypoxia. However, studies would be interrupted due to incubator functionality failure. To ensure successful and physiologically relevant studies, I improved and verified the robustness and reliability of a hypoxic incubator previously designed and manufactured in the lab. Through the testing and iterating design processes, I engineered and implemented …

Autonomous Coalition Formation For Energy Trading In Intelligent Grid Systems, Issiac Baca

Electrical and Computer Engineering ETDs

This paper introduces an interactive model and architectural framework for a smart grid system, emphasizing the prosumers dual roles as energy buyers and sellers within localized energy trading markets, i.e., coalitions. Initially, the utilities of both buyers and sellers are formulated to capture the benefits derived from their energy-related activities. Then, the paper presents the Approximate SMARTFORM (ASMARTFORM) mechanism, based on the principles of matching theory, to enhance the prosumers engagement in coalitions by addressing externalities influencing their decisions. To further improve the coalition formation process, the Accurate SMARTFORM (AccSMARTFORM) mechanism is formulated based on the theory of coalition games, …

Organisational Resilience : A Study Of The Resilience Of Maritime Stakeholders In Ghana, Priscilla Ami Dogbeda Dzokoto

World Maritime University Dissertations

No abstract provided.

Characterization Of Aromatic Stationary Phases For Uses In High Performance Liquid Chromatography, Anastasia Davis

Honors Theses

High Performance Liquid Chromatography (HPLC) is an analytical chemist technique used to separate a sample into its components to characterize and study a specific molecule or compound. Traditionally, High-Performance Liquid Chromatography in different industries, such as the environmental and pharmaceutical fields, uses stationary phases that are already well characterized, such as the C18 stationary phase for separation. However, aromatic stationary phases have recently been produced, which have phenyl groups bonded to the interior surface of the column. Still, they have not been well characterized because of how modern they are. This project characterized several aromatic stationary phases (Biphenyl, pentafluorophenyl, and …

Structural Behavior Of Corroded Reinforced Concrete Beam Elements Repaired With Fabric-Reinforced Matrix Composites, Youssef Ibrahim Elmezayen

Dissertations

Advanced methods for rehabilitation of reinforced concrete (RC) beams with corroded reinforcement were designed and implemented in this research. The nonlinear flexural and shear behaviors of RC beams with corroded reinforcement repaired with fabric-reinforced matrix (FRM) composites were investigated. Numerical simulation models were developed to predict the flexural response of flexure-deficient continuous RC beams before and after repair with FRM composites. A novel sustainable repair solution that involves the use of cement-free geopolymeric matrix reinforced with nonmetallic fabrics was also introduced for rehabilitation of shear-critical RC beams with corroded stirrups. Simplified and easy-to-use analytical approaches were adopted to estimate the …

The Use Of Peracetic Acid And The Advanced Oxidation Process In Water Purification., Spencer Shipman

Electronic Theses and Dissertations

The Next Round Brewing project was a project that sought to use treated wastewater to make potable drinking water using peracetic acid (PAA) and the advanced oxidation process and break the stigma around reclaimed water. In experiments, PAA was an efficient biocide which reduced the level of pathogens to within EPA standards. When PAA was coupled with the advanced oxidation process all organic matter was also reduced to within acceptable levels, and no biocide was left over in the final product, meaning PAA properly dissociated into harmless byproducts. A series of experiments are presented that vary concentrations of PAA, effluent …

Biocargos: Capture And Release Gels For Room Temperature Cell Storage., Justin Jacobson

Electronic Theses and Dissertations

Currently, cryovials on dry ice or liquid nitrogen vapor transportation vessels are primary ways utilized to transport mammalian cells from one location to another. Due to the safety concerns of dry ice and liquid nitrogen, associated costly shipping charges, and limitations of proper packaging and labeling of materials, these conventional shipping techniques are unacceptable. It is urgent to develop a safe and environmentally friendly protocol to preserve and ship the biological samples from one place to another. In this research, a method was developed for an ecofriendly and safe protocol to preserve cancer cells. The cell viability of cell line …

Utility Of New Remote Sensing Data In Evaluating The Hydrological Response To Land Use And Land Cover Changes, Chithrika Jayamini Alawathugoda

Theses

Land use and land-cover (LULC) changes have profound impacts on hydrological responses, influencing runoff dynamics and flood risks. This study focused on two contrasting watersheds undergoing rapid LULC transformations: the arid Wadi Ham watershed in the UAE and the tropical Imphal watershed in India. The research emphasized the critical role of accurate LULC data for hydrological modeling in climate-sensitive regions, where land-use changes are accelerating. Using high-resolution PlanetScope and Sentinel-2 satellite imagery, LULC maps were developed and classified using Maximum Likelihood (ML) and Random Forest (RF) algorithms. PlanetScope imagery paired with the RF classifier achieved the highest overall accuracy, with …

Analysis, Design, And Experimental Validation Of The Thermal Subsystem Of Alainsat-1 Cubesat, Ameereh Seyedzadeh

Theses

This thesis investigates the thermal management techniques of AlAinSat-1 during extremely harsh space conditions. It presents a comprehensive analysis of its thermal behavior using numerical techniques and validates the CubeSat's survivability in space via experimental testing. AlAinSat-1 is a nanocube-shaped satellite carrying Earth observation payloads, including RITA (Remote sensing and Interference detector with radiome-Try and vegetation Analysis) and Locana. Understanding how the CubeSat behaves in harsh space conditions and maintains thermal stability during its mission is critical to its success. The main aim of this study is to employ finite element analysis (FEA) techniques to simulate the thermal behavior of …

Design And Implementation Of Attitude Control System For Gnssas 6u Cubesat, Anoud Nasser Alkatheeri

Theses

This thesis presents the design and simulation of the Attitude Control System (ACS) for the GNSSaS 6U CubeSat, developed by the National Space Science and Technology Center (NSSTC) at UAE University. The CubeSat's mission is to enhance GNSS signal accuracy, which requires precise attitude control to achieve this objective. The ACS utilizes magnetorquers and reaction wheels for actuation. The primary objective of this thesis is to design an ACS that fulfills the mission’s performance requirements, including maintaining pointing accuracy in both fine and medium pointing modes. To achieve this, a comprehensive disturbance analysis was conducted, leading to the selection of …

Performance Of Pervious Geopolymer Concrete Made With Locally Available Recycled Concrete Aggregates In An Arid Environment, Faizu Habibu Anwar

Dissertations

This dissertation aims to develop sustainable pavement materials to address environmental challenges in arid environments, specifically in the United Arab Emirates (UAE). These challenges include the depletion of natural resources, excessive cement production, industrial waste accumulation, and stormwater runoff flooding. Cement-free pervious concrete made with geopolymer and recycled concrete aggregates (RCA) are presented as sustainable solutions to these issues. The porous nature of pervious concrete reduces stormwater runoff while using RCA and geopolymer reduces dependence on limited natural resources and mitigates the environmental impact of cement production by incorporating industrial waste materials. In this thesis, the use of pervious geopolymer …

Use Of Cement-Free Geopolymer Composites In Different Construction Applications, Joud Mohamad Hewalla

Dissertations

The demand for sustainable and eco-friendly construction materials has driven significant interest in the development of cement-free Geopolymer (GP) composites. A comprehensive scientometric analysis was conducted, highlighting a steady increase in research on geopolymer materials since 2013, with fire resistance, corrosion protection, and repair being the most studied applications. However, gaps remain in areas like 3D printing, heavy metals absorption, rehabilitation and repair, screed flooring, and shotcrete. The review emphasized the need for further investigation into lifecycle assessments and the potential use of diverse alumina- and silica-rich binders to enhance the environmental and mechanical properties of geopolymers. Accordingly, this thesis …