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Physics-Based Modeling Of Lithium-Ion Batteries For Control And Estimation Applications, Brody J. C. Riemann Jan 2021

Physics-Based Modeling Of Lithium-Ion Batteries For Control And Estimation Applications, Brody J. C. Riemann

Masters Theses

“Lithium-ion batteries are extensively used in many application areas like consumer electronics, electric vehicles, and microgrids. As the world moves towards further electrification of vehicles and more widespread use of renewable energy sources, the need for large-scale battery storage systems will grow. To effectively replace conventional methods, batteries will need to be charged quickly while accounting for degradation to maximize lifetime. Further, larger batteries require more detailed safety monitoring, which is implemented using a battery management system (BMS). A BMS is responsible for state of charge (SOC) estimation, state of health (SOH) estimation, cell balancing, regulating voltage and current according …


Topological Biclustering Artmap, Raghu Yelugam Jan 2021

Topological Biclustering Artmap, Raghu Yelugam

Masters Theses

”Detection of gene mutations is central for assessing genetic factors affecting disease predisposition, genetic causes of a particular disease, and gene-targeted treatment. DNA microarray methods are widely used to detect mutations by contrasting the expression levels of thousands of genes together under varying experimental conditions. The experimental conditions could be diseased cell states compared with the normal cell states. Biclustering, a robust exploratory data analysis tool, can be applied to microarray data to detect subsets of genes that co-express highly only for a subset of experimental conditions. Such detection is crucial for gaining insights into gene regulatory networks, differential gene …


Numerical Behavior Of Steel H-Plies Repaired Using Layered Concrete Jacket, Fareh Waleed Abudawaba Jan 2021

Numerical Behavior Of Steel H-Plies Repaired Using Layered Concrete Jacket, Fareh Waleed Abudawaba

Masters Theses

“This study developed finite element models (FEMs), using LS-Dyna software, to investigate the repair of corroded steel H-piles using concrete jacket. The concrete modeled as a layered material simulating 3D printed concrete. 3DPC is a new technology that can be used to repair or build structures without formwork by depositing concrete mixture layer by layer. For the 3DPC, this study investigated the feasibility of using alkali-activated concrete (AAC) synthesized using class C fly ash as the main binder. The fresh properties, extrudability, and buildability of the proposed concrete were investigated through open time and deformation tests, respectively. Hardened properties were …


Axial Performance Of Self-Consolidating Concrete-Filled Fiber Tubes, Joshua David Carter Jan 2021

Axial Performance Of Self-Consolidating Concrete-Filled Fiber Tubes, Joshua David Carter

Masters Theses

"Concrete filled fiber tubes can be used to increase ductility and strength of a concrete member and self-consolidating concrete is an ideal material to use in practical applications of concrete-filled fiber tubular columns. However, the propensity of self-consolidating concrete to autogenous shrinkage could reduce the effectiveness of the concrete confinement. This research investigates the use of self-consolidating concrete in pre-cast FRP tubes and various methods of shrinkage reduction and compensation to increase the axial performance of said self-consolidating concrete-filled fiber tubes. Axial compression tests were performed under monotonic and cyclic conditions to determine the stress-strain relationship of the self-consolidating concrete …


Composite-Based Additive Manufacturing Applications In The Polymer Injection Molding Cycle, Cody Bivens Jan 2021

Composite-Based Additive Manufacturing Applications In The Polymer Injection Molding Cycle, Cody Bivens

Masters Theses

“The experimental method utilized in this research was the application of composite-based additive manufacturing (CBAM) mold plates in the injection molding process. The mold plates comprised carbon fibers and polyether ether ketone (PEEK) matrix. Modifications were made to the mold plates post manufacturing in order to properly adapt to the rest of the injection molding die. A custom cooling system was engineered and integrated into the injection molding machine for the CBAM mold plates. The polymer processed in the injection molding cycle for this study was Lustran 348 acrylonitrile butadiene styrene (ABS). The result of the trials conducted in this …


Agent-Based Model Of Broadband Adoption In Unserved And Underserved Areas, Ankit Agarwal Jan 2021

Agent-Based Model Of Broadband Adoption In Unserved And Underserved Areas, Ankit Agarwal

Masters Theses

"In the last two decades, demand for broadband internet has far outpaced its availability. The Federal Communications Commission’s (FCC) 2020 Broadband Deployment report suggests that at least 22 million Americans living in rural areas lack access to broadband internet. With the COVID-19 pandemic affecting normal life, there is an overwhelming need to enable unserved and underserved communities to adapt to the “new normal”. To address this challenge, federal and state agencies are funding internet service providers (ISPs) to deploy infrastructure in rural communities. However, policymakers and ISPs need open-source tools to predict take-rates of broadband service and formulate effective strategies …


Relationships Among Mineralogy, Geochemistry, And Oil And Gas Production In The Tuscaloosa Marine Shale, Hayley Roxana Beitel Jan 2021

Relationships Among Mineralogy, Geochemistry, And Oil And Gas Production In The Tuscaloosa Marine Shale, Hayley Roxana Beitel

Masters Theses

"The Tuscaloosa Marine Shale (TMS) is an unconventional shale reservoir located in southeast Louisiana and southwest Mississippi. Limited mineralogical and geochemical data for the TMS have been published. The data that do exist indicate that the formation is heterogeneous. Consequently, previous investigators and oil and gas companies have not managed to effectively link mineralogical and chemical changes to oil and gas production in the TMS. These linkages are critical to establish for future exploration efforts. In this study, we attempt to establish these relationships by gathering all existing mineralogical and chemical data in the TMS, including newly acquired data from …


Mechanical Activation And Cation Site Disorder Of Spinel-Based Ceramics, Cole A. Corlett Jan 2021

Mechanical Activation And Cation Site Disorder Of Spinel-Based Ceramics, Cole A. Corlett

Masters Theses

"This research focuses on the processing and the effects that has on the cation disorder of magnesium-aluminate spinel based (MgAl2O4) ceramics. The first goal of this project was to determine the effects of high-energy milling, i.e., mechanical activation, on cation disorder (inversion) within the spinel structure. First, 1:1 molar ratios of MgO:Al2O3 ceramics were processed using two green processing methods, ball milling (XD) and SPEX milling (mechanical activation, MA) followed by a subsequent annealing treatment in air to form a single spinel phase in each powder sample. Neutron diffraction analysis was employed to …


Preclassic Cultural Eutrophication Of Lake Petén Itzá, Lowland Guatemala, By The Early Maya Of Nixtun-Ch'ich', Brooke A. Birkett Jan 2021

Preclassic Cultural Eutrophication Of Lake Petén Itzá, Lowland Guatemala, By The Early Maya Of Nixtun-Ch'ich', Brooke A. Birkett

Masters Theses

"Paleolimnological evidence indicates the ancient Maya transformed lowland terrestrial ecosystems by felling forest vegetation to construct large civic-ceremonial centers and expand agriculture. The effects of prehistoric Maya land alterations on lake trophic status, however, remain poorly understood. We analyzed a 515-cm-long sediment core from Lake Petén Itzá, lowland Guatemala, to infer paleoenvironmental changes resulting from Maya occupation of the riparian archaeological site of Nixtun-Ch'ich'. Substantial increases in charcoal and fecal stanol concentrations indicate Maya occupation of the Candelaria Peninsula by the late Early Preclassic period beginning ca. 1400 cal yr Before the Common Era (hereafter BCE), despite scant archaeological evidence …


Design And Development Of A Variable Resistance Hand Exerciser Using A Compliant Mechanism, Jyothi Komatireddy Jan 2021

Design And Development Of A Variable Resistance Hand Exerciser Using A Compliant Mechanism, Jyothi Komatireddy

Masters Theses

"Rehabilitation exercise plays a vital role in recovering from an injury or illness condition by improving flexibility and restoring muscle strength. If not done correctly, exercising can cause more damage to the health condition than in healing. Understanding the muscle’s resistance level while performing an exercise helps design the exercising equipment not to overstrain the muscle during operation. This research presents a methodology to develop a variable-resistance hand exerciser by using a compliant cam-follower mechanism. The proposed design comprised a compliant follower and a rigid cam. The rigid cam is synthesized using the human hand force-deflection profile as an input …


Examining The Relationship Between Acculturative Stress And Religion/Spirituality Among International Students, Ly'jerrick Ward Jan 2021

Examining The Relationship Between Acculturative Stress And Religion/Spirituality Among International Students, Ly'jerrick Ward

Masters Theses

The purpose of this study was to explore the relationship between acculturative stress and religion/spirituality of international students. This study utilized Sandhu and Asrabadi’s (1994) Acculturative Stress Scale for International Students (ASSIS) as well as the Santa Clara Strength of Religious Faith Questionnaire (SCSORF) created by Plante and Boccaccini (1997). Much research exists on how international students adapt and acculturate to a host country. This research will add to the body of literature that exists regarding how international students use their religion/spirituality to deal with acculturative stress. Students in this study were asked a number of questions from the ASSIS …


Trade Integration And Economic Growth In Africa: Lessons From Sadc And Ecowas Regional Trading Blocs, Kofi Ampoma Asuako Jan 2021

Trade Integration And Economic Growth In Africa: Lessons From Sadc And Ecowas Regional Trading Blocs, Kofi Ampoma Asuako

Masters Theses

The literature on the effects of free trade agreements (FTA) or trade liberalization on economies is vast and tends to focus on the post-liberalization performance of countries, particularly in Europe and North America. However, an analysis of how varying levels of integration within free trade blocs in Sub-Saharan Africa affect economic growth does not appear to be in the international economics literature. This analysis is vital as 54 out of 55 African union member States have begun trading under the African Continental Free Trade Agreement (AFCFTA) which intends to gradually decrease and ultimately do away with customs duties and non-tariff …


Immediate Response Of Black Basses To Dam Removal Is Determined By Habitat Preference, Reuben Frey Jan 2021

Immediate Response Of Black Basses To Dam Removal Is Determined By Habitat Preference, Reuben Frey

Masters Theses

Dams affect the abundance of fish species in lotic systems by altering flow regime and available physical habitat. Removal of dams may mitigate these effects and generate a change in species abundance and fish community structure. Understanding the effects of dam removal on gamefish species is essential in making management decisions. I investigated how populations of Smallmouth Bass (Micropterus dolomieu), Spotted Bass (M. punctulatus), and Largemouth Bass (M. salmoides) were affected by the presence and removal of two low-head dams in a Midwestern river system. I used data collected during fall and spring from …


Development Of Fluorescence Microscopy Approaches To Study Subcellular Protein Transport And Enzymatic Activity, Anchal Singh Jan 2021

Development Of Fluorescence Microscopy Approaches To Study Subcellular Protein Transport And Enzymatic Activity, Anchal Singh

Masters Theses

Understanding the subcellular localization of proteins and their activity is important in understanding their normal function in eukaryotic cells. Fluorescence cellular imaging techniques can selectively and sensitively visualize subcellular biochemistry. Using this approach, two different methods were employed in this thesis. The first focused on studying protein import into peroxisome and the other on monitoring the activity of an endoplasmic reticulum (ER)-localized enzyme, human carboxylesterase 1 (CES1).

Peroxisomes are mainly known as the center for long chain fatty acid b-oxidation as well as the production and detoxification of hydrogen peroxide. Proteins which are needed in the peroxisomes are encoded in …


Metal Complexes Of Bis(Pyrazolyl)Methane-Based Ditopic Ligands, Pubudu Nuwan Perera Hapuarachchige Jan 2021

Metal Complexes Of Bis(Pyrazolyl)Methane-Based Ditopic Ligands, Pubudu Nuwan Perera Hapuarachchige

Masters Theses

No abstract provided.


Investigation Of Post-Acid Stimulation Impacts On Well Performance Using Fracture Modeling And Reservoir Simulation In A Jurassic Carbonate Reservoir, Muaath Alansari Jan 2021

Investigation Of Post-Acid Stimulation Impacts On Well Performance Using Fracture Modeling And Reservoir Simulation In A Jurassic Carbonate Reservoir, Muaath Alansari

Masters Theses

"Well stimulation (well fracturing) became an essential tool in the Oil and Gas industry to unlock the potential of unconventional reservoirs all over the world and especially in the Middle East. In Kuwait, well stimulation is obligatory when dealing with deep Jurassic carbonate reservoirs. Thus, the well fracture designing process plays a very critical role in determining the success of the stimulation job and the improvement of the recovery.

Several wells stimulated with 20% HCL have shown wide variations in both short and long term well production performance. The research aims to investigate and identify the possible reasons causing these …


Power Generation From Waste Heat During Oil Production, Subrahmanya Chandra Bhamidipati Jan 2021

Power Generation From Waste Heat During Oil Production, Subrahmanya Chandra Bhamidipati

Masters Theses

"The increase in the world population is causing a significant increase in the global demand for energy. This rise in demand is generally met with the use of fossil fuels. But there is considerable pressure to lessen the release of carbon through the combustion of fossil fuels. One way that the oil and gas industry can provide increased energy without carbon combustion is by extracting the latent heat energy contained in produced oil, gas and water from producing reservoirs, and from water which is cycled through depleted, end-of-life or abandoned reservoirs. Extracting this energy and using it to provide direct …


Immortality Through Mind Uploading And Resurrection, Adam M. Leis Jan 2021

Immortality Through Mind Uploading And Resurrection, Adam M. Leis

Masters Theses

Technology in the last century has flourished exponentially. Previous fantasies are becoming cutting-edge discoveries like global communications, encyclopedic knowledge at the average person’s fingertips, and even medical advances used to improve and extend one’s quality of life and life expectancy. As technology pushes the boundaries of what is possible, ambitious visionaries look to solve the arguably greatest problem known to humanity: death. Transhumanists aiming to use technology to overcome this great human limitation, mortality, present the newest proposed solutions to life’s oldest challenge. One of these solutions, mind uploading, is perhaps the most ambitious, but it is not without its …


Toward Understanding Commercial Additives For Zincate Electrogalvanizing, Margaret Scott Jan 2021

Toward Understanding Commercial Additives For Zincate Electrogalvanizing, Margaret Scott

Masters Theses

"Cyanide zinc electrogalvanizing has been used for many years to produce high quality and uniform zinc coatings. Due to toxicity concerns, a significant amount of research has occurred to remove the use of cyanide while still producing a similar deposit. One of the resulting plating chemistries is the alkaline zincate bath.

Alkaline zincate plating has the advantages of low startup cost, low toxicity, and low corrosion rate. Despite these advantages, alkaline bath conditions do not produce acceptable zinc deposits without the use of plating additives, which can promote lustrous, smooth deposits. This research aims to: (1) generate fundamental electrochemical data …


Neural Network Supervised And Reinforcement Learning For Neurological, Diagnostic, And Modeling Problems, Donald Wunsch Iii Jan 2021

Neural Network Supervised And Reinforcement Learning For Neurological, Diagnostic, And Modeling Problems, Donald Wunsch Iii

Masters Theses

“As the medical world becomes increasingly intertwined with the tech sphere, machine learning on medical datasets and mathematical models becomes an attractive application. This research looks at the predictive capabilities of neural networks and other machine learning algorithms, and assesses the validity of several feature selection strategies to reduce the negative effects of high dataset dimensionality. Our results indicate that several feature selection methods can maintain high validation and test accuracy on classification tasks, with neural networks performing best, for both single class and multi-class classification applications. This research also evaluates a proof-of-concept application of a deep-Q-learning network (DQN) to …


Variational Inference For Morphological Modification To 3d Geometry : An Application To The Support Generation For Metal Additive Manufacturing, Mugdha Swanand Joshi Jan 2021

Variational Inference For Morphological Modification To 3d Geometry : An Application To The Support Generation For Metal Additive Manufacturing, Mugdha Swanand Joshi

Masters Theses

"A key issue in metal additive manufacturing (AM) processes is the optimization of support geometry. Correct selection of support strategy can reduce build time, improve surface finish, reduce support removal time, and maximize build success. Strategies used to design support structure are time consuming and need skilled personnel. In this research we have deployed a deep generative model capable of making morphological modifications to the part. However, it is not similar to topology optimization where the aim is to reduce or eliminate support structure. The proposed model can make necessary changes to the part in order to transform it into …


In Vitro And In Vivo Response To A Novel Borophosphate Bioactive Glass, Nada Abokefa Jan 2021

In Vitro And In Vivo Response To A Novel Borophosphate Bioactive Glass, Nada Abokefa

Masters Theses

"Bioactive glasses have been widely used in several biomedical and tissue engineering applications since the late 1960s. Numerous families of bioactive glasses have emerged over the years, with each having its own advantage and disadvantage. One concern common to all families is that most bioactive glasses create a basic or acidic environment when degraded and, therefore, are toxic for cells. Recently, there has been an increased interest in borophosphate bioactive glass (BPBGs) because of their neutral pH, release of therapeutic ions, and biodegradable properties. Despite the growing interest, there is little reported on the bioactivity of BPBGs. The biological effects …


Spatiotemporal Observations Of Water Stress In Kansas Winter Wheat And Corn From Remotely Sensed Evapotranspiration And Ndwi, Lindi Diane Oyler Jan 2021

Spatiotemporal Observations Of Water Stress In Kansas Winter Wheat And Corn From Remotely Sensed Evapotranspiration And Ndwi, Lindi Diane Oyler

Masters Theses

"Optimizing water use is a growing concern, especially in agricultural communities where water use is high. An important challenge in agricultural water optimization is knowing when and where crop water stress is occurring, particularly on large scales where in-situ measurements are no longer practical to obtain. In an effort to combat this challenge, this study utilizes remotely sensed evapotranspiration (ET) and Normalized Difference Water Index (NDWI) to evaluate the responses of integrated satellite datasets to water-stressed conditions over fields of irrigated corn, irrigated winter wheat, and rainfed winter wheat from 2007 to 2017 in southwestern Kansas. Using two different ET …


A Simple Background Elimination Method For Miniaturized Fiber-Optic Raman Probe, Bohong Zhang Jan 2021

A Simple Background Elimination Method For Miniaturized Fiber-Optic Raman Probe, Bohong Zhang

Masters Theses

"Raman scattering is called a photonic - molecular interaction based on the kinetic model of the analytic. Due to the uniqueness of the Raman scattering technique, it can provide a unique fingerprint signal for molecular recognition. However, a serious challenge often encountered in Raman measurement comes from the requirements of fast, real-time remote sensing, background fluorescence suppression, and micro-environmental detection.

A new Miniaturized Fiber-Optic Raman Probe (MFORP) for Raman spectroscopy, used especially for eliminating background fluorescence and enhancing sampling, is presented. Its main purpose is to provide an overview of excellent research on the detection of very small substances and …


Method Of Optimal Battery Scheduling With Optimal Battery And Photovoltaic Sizing, Gideon Hallman Jan 2021

Method Of Optimal Battery Scheduling With Optimal Battery And Photovoltaic Sizing, Gideon Hallman

Masters Theses

“Renewable energy generation is on the rise. One of the best ways to capitalize on this intermittent power supply is by using the renewable energy source in tandem with batteries. A joint photovoltaic (PV) and battery system model was created that implemented battery degradation and optimized battery usage using a Markov Decision Process (MDP). This system was then subjected to a series of tests to do a sensitivity analysis while optimizing the battery and PV sizing for the system at hand. Parametric sweeps of solar power and battery capital costs, the cost of energy taken from the grid, the cost …


Design And Evaluation Of The 3d Printed Electromagnetic Absorber Built With Conductive Carbon-Filled Filament, Rui Mi Jan 2021

Design And Evaluation Of The 3d Printed Electromagnetic Absorber Built With Conductive Carbon-Filled Filament, Rui Mi

Masters Theses

"This research presents an application of the resistive frequency selective surface (FSS) fabricated with a 3D printed conductive material as an electromagnetic absorber for the EMI-reducing door. This solution allows to reduce radiated emissions of a router system. The resistive frequency selective surface has a three-layer structure. The top layer is a 3D printed FSS pattern, the middle layer is an air gap, and the bottom layer is a metal plane.

The first paper presents the methodology for manufacturing a frequency selective surface using the 3D printing technology, including the material characterization, design, fabrication, and evaluation.

The unpublished content presents …


Development Of Complex Lattice Cell In Benchmark Model Of Particle Bed Critical System, Elijah Chamberlain Lutz Jan 2021

Development Of Complex Lattice Cell In Benchmark Model Of Particle Bed Critical System, Elijah Chamberlain Lutz

Masters Theses

“Criticality safety benchmark evaluations require the creation of models that most accurately represent the experiment being evaluated. In some cases this can be relatively trivial with experiments containing rather simple or standard geometry. In others, such as packed bed systems, this becomes unique and a more difficult process. The importance of accurate modeling of packed bed systems for the use of criticality safety benchmark evaluations was looked at. Four models were created of various complexities and accuracy. First the multi-particle bed, consisting of a fuel particle (UC1.7 kernel with C shell) and two filler particles (Zircaloy-4 and C + …


The Effects Of Rigid Polyurethane Foam As A Confinement Material On Breaching Charge Detonations, Nathan Franz Paerschke-O'Brien Jan 2021

The Effects Of Rigid Polyurethane Foam As A Confinement Material On Breaching Charge Detonations, Nathan Franz Paerschke-O'Brien

Masters Theses

"The effects of a rigid polyurethane foam used as a confinement material on four types of breaching explosives were tested, focusing on the changes in shockwave peak pressures, detonation load compression forces, and brisance cratering abilities. The Plate Dent testing procedure was modified to incorporate a load cell force sensor, and two air overpressure sensors were included adjacent to the blast to quantify each test result. The testing variables focused on the polyurethane foam cure times and thickness volumes around the breaching explosives to determine the breaching charges' optimal energy output capabilities when confined by the foam material. The rigid …


Bond Graph Modeling Of Critical Infrastructures For Cyber-Physical Security Implementation, Michele Jane White Jan 2021

Bond Graph Modeling Of Critical Infrastructures For Cyber-Physical Security Implementation, Michele Jane White

Masters Theses

“In developed societies, there exists infrastructure vital to everyday life. This includes water and power systems. Technology is quickly evolving and being implemented on these utilities. This technology can range from smart metering in neighborhoods to volume sensors in local waste water treatment facilities. When networking, sensing, monitoring, or control devices are integrated with infrastructure it is considered a cyber physical system, or CPS. When information about an important physical system is connected to the virtual world, it is opened up to security risks. Cyber security can be provided to the CPS by monitoring the physical state of the system …


Communicating Uncertain Information From Deep Learning Models To Users, Harishankar Vasudevanallur Subramanian Jan 2021

Communicating Uncertain Information From Deep Learning Models To Users, Harishankar Vasudevanallur Subramanian

Masters Theses

“The use of Artificial Intelligence (AI) decision support systems is increasing in high-stakes contexts, such as healthcare, defense, and finance. Uncertainty information may help users better leverage AI predictions, especially when combined with domain knowledge. I conducted two human-subject experiments to examine the effects of uncertainty information with AI recommendations. The experimental stimuli are from an existing image recognition deep learning model, one popular approach to AI. In Paper I, I evaluated the effect of the number of AI recommendations and provision of uncertainty information. For a series of images, participants identified the subject and rated their confidence level. Results …