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Resource Provisioning For Data-Intensive User-Facing Applications, Huiyang Li

Computer Science and Engineering Dissertations - Archive

Data-intensive, User-facing Services (DUSes) such as web searching, digital marketing, online social networking, and online retailing are critical workloads in clouds and datacenters. Meeting stringent query tail-latency Service Level Objectives (SLO) for DUS queries is essential for optimal user experience and business success. However, achieving these objectives is challenging due to the scale-out nature of DUese workloads and the varying resource demands of queries with different fanouts. Additionally, the design and configuration options for clusters significantly impact query performance. In this dissertation, we present solutions of DUSes performance online and offline optimization. We highlight the importance of reducing query tail …

Optimal Sizing And Safe Management Of Lithium-Ion Batteries In High Voltage Power Systems, Hayden Lee Atchison

Electrical Engineering Dissertations - Archive

Lithium-ion batteries have gained widespread use in various applications, but safety challenges persist due to errors in assembly and faulty electronics management. Ensuring safety and reliable operation in large batteries containing numerous series/parallel cells demand innovative monitoring technologies. Elevated temperatures resulting from normal or abnormal operation are a major cause of battery failure, necessitating effective temperature monitoring techniques. Similarly, abnormal stress/strain signatures offer valuable diagnostic information. In the study discussed here, the application of a Optical Distributed Sensor Interrogator (ODiSI) employing high-definition fiber optic sensors (HD-FOS) for measuring surface temperature and case deformation of 18650 cells under normal and abnormal …

Deep Learning For Molecular Property Prediction, Hehuan Ma

Computer Science and Engineering Dissertations - Archive

Drug discovery has always been a crucial task for society, and molecular property prediction is one of the fundamental problem. It is responsible for identifying the target properties or severe side-effects, so that certain molecules can be selected as the candidates of drugs. Traditional methods usually conduct a series of biochemical experiments to test the molecular properties, which may take up to decades. Nowadays, this process can be facilitated due to the rapid growth of deep learning methods. I present my work toward solving this critical problem by utilizing deep learning techniques. My research study can be summarized in three …

Hardware In The Loop Test Stand For Battery Management System Validation In Shipboard Controls, Cole Dawson Tschritter

Electrical Engineering Dissertations - Archive

ABSTRACT: Traditionally, large-scale power systems have relied on power generation always exceeding the total load demand. Though this is most often the case, there are rare occurrences where failures in the generation, distribution, or even planning, that have led to situations where load demand quickly surpasses the generation capacity. In such cases, uncontrolled shedding of loads occurs, leading to brownouts or blackouts that can have catastrophic impact to both people and property. Advanced architectures, such as microgrids, offer a variety of improvements that are aimed at mitigating or even preventing these failures. Improvements include distributed power generation, active source and …

High Magnification Surface Topography Based Digital Image Correlation (Dic) For Identifying Damage Accumulation And Crack Growth In Polycrystalline Nickel, Arash Valiollahi

Mechanical and Aerospace Engineering Dissertations - Archive

Damage index parameters that have been formulated to identify damage localization in plastically deformed materials typically require all six stress or strain components. Recently, simulations through Crystal Plasticity Finite Element Method (CPFEM) have been widely used to extract damage initiation parameters. However, these models are rarely verified due to the challenges in measuring the out-of-plane deformation/strain experimentally. A damage index combining the effective plastic strain and surface roughness change is investigated for identifying damage accumulation sites and predicting crack propagation path in polycrystalline pure Nickel. A novel Digital Image Correlation (DIC) technique is developed to measure both in-plane and out-of-plane …

Investigation Of Thermal Performance Enhancement And Thermo-Mechanical Assessment Of Ite Using Single-Phase Immersion Cooling Technology, Pratik Bansode

Mechanical and Aerospace Engineering Dissertations - Archive

The use of air-cooling as a thermal management technique in data centers has consistently maintained its importance, however its efficacy is limited to CPUs with lower power requirements. The expenses and energy use related to the air circulation process for high-power density racks are deemed excessively costly. The limits of air cooling have aroused concerns owing to its low specific heat capacity and poor thermal conductivity, which result in reduced effectiveness. Consequently, a substantial discourse has emerged about alternate and effective cooling methods that provide supplementary advantages, such as the recuperation of waste heat. In light of the limitations associated …

Optimal Aggressive Constrained Trajectory Synthesis And Control For Multi-Copters, Tsung-Liang Liu

Mechanical and Aerospace Engineering Dissertations - Archive

Multi-copters have become increasingly popular in recent years due to their availability, mobility, agility, and flexibility. They serve as excellent platforms for control experiments and various applications. Their characteristics also make them an attractive choice for high-speed aerial navigation in complex environments. Numerous studies have been conducted on aggressive trajectory generation and maneuver tracking. However, the level of aggressiveness achievable depends on the optimality of the trajectory plan and the dynamic capabilities of the vehicle. It would be valuable if one can generate a trajectory that fully utilizes the dynamic capabilities of the multi-copter while accommodating specific maneuvers at predetermined …

Enhancing Experiential Learning Through Virtual Reality: A Case Study In System Design And Hazard Analysis, Rafia Rahman Rafa

Industrial, Manufacturing, and Systems Theses - Archive

ABSTRACT: The recent advancement of additive manufacturing (AM) technologies leads to an extensive need for an industrial workforce. Training in AM requires expensive capital investment to install and maintain this technology and proper knowledge about potential safety hazards. Experiential, immersive training platforms like Virtual Reality (VR) can overcome this challenge by providing opportunities for effective learning in a safe and controlled environment. VR can teach students through active participation and immersive, hands-on experiences, which is especially important for manufacturing processes involving high-risk conditions. VR can expose students to manufacturing hazards and allow them to learn through trial and error without …

Analyzing The Thermomechanical Performance Of Tg400g Material Substrate Core Under Immersion Cooling, Venkateswar Vishnu Tirupati Venkatachal

Mechanical and Aerospace Engineering Theses - Archive

The relentless surge in demand for seamless information exchange through consumer electronics, driven by the indispensable role of the Internet, has given rise to an unprecedented need for data centres. Yet, the energy consumption of conventional data centres, where a significant one-third of energy usage is attributed solely to cooling, has triggered an urgent quest for energy-efficient solutions. Immersion cooling technology appears as a promising contender due to its exceptional prowess in managing thermal energy. However, its potential impact on the reliability of IT equipment needs a more profound exploration before widespread adoption can be realized. This study embarks on …

Effects Of Personality On The Perceived Helpfulness Of Online Reviews, Amal Mosleh Alshamrani

Business Administration Dissertations - Archive

With the rapid growth of online shopping, the ability of consumers to publish their reviews has created electronic communities that provide a primary source of information and a rich text for analysis. The purpose of this dissertation is to examine the relationship between customers’ personality traits and the perceived helpfulness of online reviews. In the first essay, I explore the effect of product type, search versus experience products, on the relationship between personality and review helpfulness. In the second essay, I examine the effects of personality similarity between writers and readers of online reviews on its perceived helpfulness.

Examining Entrepreneurial Passion Within Online Communities, Fredrick Rice

Business Administration Dissertations - Archive

Examining Entrepreneurial Passion Within Online Communities

Investor Sentiment And Debt Contracting, Rohit Agarwal

Accounting Dissertations - Archive

**Please note that the full text is embargoed until 08/01/2024** This study examines the impact of investor sentiment on loan spread and financial covenants in debt contracts. Periods of high investor sentiment generally result in pressure on loan spreads due to the ability to issue equity at lower cost. Thus, I conjecture that managers of borrowing firms as well as lenders may trade-off lower spreads against higher or more restrictive covenants during such periods. Therefore, high investor sentiment has two related effects on debt covenants: (i) it encourages higher and more restrictive covenants by lenders at contract inception and, consequently, …

Quantification And Identification Of Neuro-Electrophysiological Markers And Brain Network For Biomedical Applications, Shu Kang

Bioengineering Dissertations - Archive

Electroencephalogram (EEG) can detect and monitor neuro-electrophysiological signals in the human brain, including assessing brain function in newborns at risk of neurological injury and healthy adults undergoing intervention with prefrontal transcranial photobiomodulation (tPBM). Moreover, EEG-based brain functional connectivity can be assessed in either resting-state or task-based measurements using graph-theoretical network modeling. However, the management of newborns with mild hypoxic ischemic encephalopathy (HIE) is controversial, and no study has investigated the EEG-based brain network and information flow resulting from HIE. Also, the underlying electrophysiological mechanism of tPBM is still unclear, and further research is needed to determine optimal parameters for tPBM …

Comparison Of Condition Prediction Models To Prioritize Sewer Pipe Inspections, Madhuri Arjun

Civil Engineering Dissertations - Archive

Over time, wastewater collection systems deteriorate, necessitating ongoing adjustments and the development of asset management frameworks by utility proprietors to maintain the performance of their assets. Any asset management framework should emphasize the importance of asset inspection and condition assessment for system-efficient operation and maintenance. In the United States, closed-circuit television (CCTV) is the most common method for inspecting the interior of sewer pipelines. This procedure is expensive and time-consuming due to a city's extensive inventory of pipes. Due to the immense quantity of these pipes, every municipality can only inspect some sections of sanitary sewer pipes promptly. Therefore, the …

Artificial Intelligence-Based Evaluation Of Pipeline Structures Using Multi-Sensor Robots, Mohammad Shaher Moh'd Rababeh

Civil Engineering Dissertations - Archive

ABSTRACT: ARTIFICIAL INTELLIGENCE-BASED EVALUATION OF PIPELINE STRUCTURES USING MULTI-SENSOR ROBOTS Mohammad Shaher Rababeh, Ph.D. The University of Texas at Arlington, August 2023 Supervising Professor: Ali Abolmaali All around the world, pipeline systems are safe, efficient, and cost-effective for transporting liquids such as stormwater and wastewater. However, different defects develop in pipeline structures with aging and use. Leaks and significant failures might create severe danger for the environment, and for humans in urban areas. This deterioration in pipelines happens under the influence of different factors. In general, observing and evaluating pipelines will allow us to understand its behavior under various conditions …

Dynamic Control Systems, Yi Zheng

Marketing Dissertations - Archive

As a fundamental managerial tool for sales management, sales controls have received researchers’ attention for a long time. However, current research on sales controls has mainly adopted a static perspective to examine the roles of sales controls. To overcome this limitation, I propose a new construct, dynamic sales control systems, to extend the static research on sales controls to a dynamic perspective. This dissertation includes two papers. Paper 1 focuses on dynamic control systems’ antecedents and boundary conditions and their impacts on sales team performance. In Paper 2, I have investigated the mediating mechanisms between dynamic control systems and sales …

Breaking The Lignin Barrier With Termite Tav5 Treatment Technology (T4): Biopower And Biofuel From Agricultural Waste, Hussain Ali

Civil Engineering Dissertations - Archive

Bioenergy obtained from anaerobic digestion of lignocellulose biomass is one of the promising candidates to help move towards a fossil fuel free future. Agriculture waste has up to 90% lignocellulose content, and the eight leading US crops produce over 500 million tons of residue each year. Unfortunately, lignin is resistant to microbial attack under low oxygen conditions which normally occur in anaerobic digesters, and it often shields lignocellulose components (cellulose and hemicellulose) from decomposition as well. Traditional physical/chemical methods for destroying lignin are typically costly due to energy and chemical requirements and can create toxic intermediates (Rahimi et al., 2020). …

Coastal Home Elevation For Flood Mitigation: Structural Safety And Benefit/Cost Analysis, Cedric Ling

Civil Engineering Dissertations - Archive

construction practice along the Texas Gulf coast under uniform floor live load. The first specimen had four panels with monolithically poured grade beams around each panel, while the second specimen had two panels with monolithically poured grade beams supported by additional steel beams. The second specimen also included carbon fiber reinforced polymer (CFRP) laminate retrofitting under one of the panels. The slabs were supported by concrete block masonry piers with various contact conditions. It was found that the typical contractor-determined elevation layout can withstand the building code-mandated floor live load. Increased column spacing decreased slab load capacity as expected. The …

Assessing The Treatment Efficiency Of Expanded Shale As A Filter Medium In A Bioswale, Ashish Bhurtyal

Civil Engineering Theses - Archive

This thesis presents a laboratory investigation focusing on the use of expanded shale as a filter media in bioswales. Bioswales are known for their effectiveness in improving water quality by removing pollutants such as total suspended solids (TSS) and turbidity. While conventional filter media with rocks, sand, and mulches have been utilized in bioswales to enhance infiltration capacity, the potential of expanded shale as an engineered media has not been thoroughly assessed and documented. The study conducted a series of thirty experiments involving three different flow conditions to mimic typical Best Management Practices (BMP) applications. The primary focus was on …

Analytical And Experimental Of Electromagnetic Wave Propagation Effect On Moisture And Corrosion In An Inhomogeneous Medium, Dafnik Saril Kumar David

Civil Engineering Dissertations - Archive

This dissertation presents electromagnetic wave studies for infrastructure. The research contributes to a comprehensive understanding of electromagnetic wave propagation in moisture and provides insights into corrosion detection and monitoring in reinforced concrete infrastructure. Three major studies are performed to: 1) understand the multiple wave scattering in inhomogeneous moisture medium, 2) validate the experimental reflection through analytical finite difference time domain simulations with experimental measurements, and 3) evaluate the electromagnetic wave responses in the early stage and post stage corrosion experimentally, and 4) develop rapid corrosion monitoring methodology for field applications by employing cutting-edge electromagnetic wave image processing as refer to …

A Novel Regularized Orthonormalized Partial Least Squares Model For Multi-View Learning, Ce Bian

Mathematics Dissertations - Archive

Over the past few years, the size of data dimensions or features has been increasing in various fields of science and engineering, owing to the rapid pace of data collection and the development of more advanced storage methods. However, to handle high-dimensional data, dimensionality reduction is essential before performing classification or regression tasks to eliminate noisy features. There are several numerical methods available for reducing data dimensionality, such as Canonical Correlation Analysis (CCA), Principal Component Analysis (PCA), and Linear Discriminant Analysis (LDA). While these methods offer valuable approaches to data dimensionality reduction, they do come with certain limitations. CCA, for …

Recognizing Possibility: Reflections On The Messianic Dimensions Of Being, Language, And Space, Khalif M. Vernon

English Theses - Archive

This thesis seeks to reveal the messianic potentialities that inhere in the fundamental categories of experience. I analyze diverse sources in western intellectual history, from the classical period to our contemporary epoch, to discern techniques to think through our collective malaise, that is to both identify the dynamics that have produced our malaise and how to use thought and recognition as acts of generative resistance. I will argue throughout that the common modalities of experience: language, space, and historicity, even if they reveal themselves as lack, through their (dis)concealment gesture at messianic forms of life, and I will try to …

An Improved Framework For Estimating Organic Carbon Content Of Mangrove Soils Using Loss-On-Ignition And Coastal Environmental Setting, Joshua L. Breithaupt, Havalend E. Steinmuller, Andre S. Rovai, Kevin M. Engelbert, Joseph M. Smoak, Lisa G. Chambers, Kara R. Radabaugh, Ryan P. Moyer, Amanda Chappel, Derrick R. Vaughn, Thomas S. Bianchi, Robert R. Twilley, Paulo Pagliosa, Miguel Cifuentes-Jara, Danilo Torres

Faculty Publications

The use of loss on ignition (LOI) measurements of soil organic matter (SOM) to estimate soil organic carbon (OC) content is a decades-old practice. While there are limitations and uncertainties to this approach, it continues to be necessary for many coastal wetlands researchers and conservation practitioners without access to an elemental analyzer. Multiple measurement, reporting, and verification (MRV) standards recognize the need (and uncertainty) for using this method. However, no framework exists to explain the substantial differences among equations that relate SOM to OC; consequently, equation selection can be a haphazard process leading to widely divergent and inaccurate estimates. To …

Extreme Events And Impacts On Organic Carbon Cycles From Ocean Color Remote Sensing: Review With Case Study, Challenges, And Future Directions, Eurico J. D'Sa, Maria Tzortziou, Bingqing Liu

Faculty Publications

Extreme events and disturbances (e.g., tropical cyclones, extreme precipitation, and flooding often associated with land falling storms) affect aquatic carbon (C) cycling at multiple spatiotemporal scales and are most impactful in the coastal ocean with highly connected ecosystems that include rivers, estuaries, wetlands, and the continental shelf. Satellite remote sensing with its synoptic and repeated coverage over large regions and across a range of environmental conditions - including severe weather and natural disasters, has the potential to greatly expand our ability to monitor and quantify the impacts of extreme events on C cycling, particularly in the coastal zone. This review …

Trophic Amplification: A Model Intercomparison Of Climate Driven Changes In Marine Food Webs, Vianney Guibourd De Luzinais, Hubert Du Pontavice, Gabriel Reygondeau, Nicolas Barrier, Julia L. Blanchard, Virginie Bornarel, Matthias Büchner, William W.L. Cheung, Tyler D. Eddy, Jason D. Everett, Jerome Guiet, Cheryl S. Harrison, Olivier Maury, Camilla Novaglio, Colleen M. Petrik, Jeroen Steenbeek, Derek P. Tittensor, Didier Gascuel

Faculty Publications

Marine animal biomass is expected to decrease in the 21st century due to climate driven changes in ocean environmental conditions. Previous studies suggest that the magnitude of the decline in primary production on apex predators could be amplified through the trophodynamics of marine food webs, leading to larger decreases in the biomass of predators relative to the decrease in primary production, a mechanism called trophic amplification. We compared relative changes in producer and consumer biomass or production in the global ocean to assess the extent of trophic amplification. We used simulations from nine marine ecosystem models (MEMs) from the Fisheries …

Authorizations, Prices, And Labeling Differences Of Therapeutic Biologics Marketed In The United States And Saudi Arabia, Turki Altowairgi

Pharmaceutical Sciences (PhD) Dissertations

BACKGROUND: Since 1982, Saudi Arabia (SA) and the United States (US) have seen an increase in therapeutic biologics authorization. However, each country has regulatory regulations governing the approval of these cutting-edge drugs. The high cost of biologics financially burdens healthcare systems and delays patient access to these treatments. Sometimes a company selling the same medications in various countries will have conflicting information on drug labels.

OBJECTIVES: This study compared the characteristics of therapeutic biologics authorization by the Saudi Food and Drug Authority (SFDA) and Food and Drug Administration (FDA) as of December 31, 2021. The study also compared the US …

Mastering Enterprise Networks, Mathew J. Heath Van Horn

OER Main

The book starts by providing you with step-by-step instructions to create your own virtual environment on any modest PC or laptop running Windows. After setting up your own learning space, we will walk you through many real-world networking concepts that culminate with you building your own enterprise network. Once you are comfortable with creating computer networks, we will then show you how to attack your own network and then how to defend your network against those attacks.

Sneakerhead Culture: Consumers And Their Ecological Consciousness, Maria Cervantes

Apparel Merchandising and Product Development Undergraduate Honors Theses

This thesis aims to investigate the unique subculture of “sneakerheads” and their buying behavior/attitudes, catering carefully to the Northwest Arkansas community and their small community. Sneakerhead culture has gained significant popularity in recent years, with decades of history to back up the phenomenon. Sneaker connoisseurs collect these glamourous, expensive, and rare footwear and are keepsakes of self-expression and identity formation. The study employs an ecological approach to their purchases and seeks to find whether retail and non-retail sneakerheads are conscious of their ecological footprint. The research methodology involves a questionnaire that is catered towards retail or non-retail employees based on …

A Transport Property-Based Assessment Of Triple Ionic-Electronic Conductors As Cathodes For Protonic Ceramic Fuel Cells, Jack Harrison Duffy

All Dissertations

Triple ionic-electronic conductors (TIECs) are a widely studied class of materials for electrodes in ceramic electrochemical devices such as protonic ceramic fuel cells. These ceramics are perovskite-based and exhibit concurrent conductivity of protons, oxide ions, and electrons at elevated temperatures. Despite their numerous references in literature, few studies have systematically probed the fundamental surface- and bulk-level properties of TIECs. In this dissertation, dopant levels are systematically altered in the BaCo_0.4Fe_0.4Zr_0.1Y_0.1O_3-δ-type perovskite TIEC to reveal the effects on structure, transport properties, and durability of each material. The results of this work …

A Genotype × Environment Experiment Reveals Contrasting Response Strategies To Drought Between Populations Of A Keystone Species (Artemisia Tridentata; Asteraceae), Anthony E. Melton, Kara Moran, Peggy Martinez, Paige Ellestad, Erin Milliken, Walker Morales, Andrew W. Child, Bryce A. Richardson, Marcelo Serpe, Stephen J. Novak, Sven Buerki

Biology Faculty Publications and Presentations

Western North America has been experiencing persistent drought exacerbated by climate change for over two decades. This extreme climate event is a clear threat to native plant communities. Artemisia tridentata is a keystone shrub species in western North America and is threatened by climate change, urbanization, and wildfire. A drought Genotype × Environment (G × E) experiment was conducted to assess phenotypic plasticity and differential gene expression in A. tridentata. The G × E experiment was performed on diploid A. tridentata seedlings from two populations (one from Idaho, USA and one from Utah, USA), which experience differing levels of …