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Applying Machine Learning Techniques To Improve Safety And Mobility Of Urban Transportation Systems Using Infrastructure- And Vehicle-Based Sensors, Zubayer Islam Jan 2021

Applying Machine Learning Techniques To Improve Safety And Mobility Of Urban Transportation Systems Using Infrastructure- And Vehicle-Based Sensors, Zubayer Islam

Electronic Theses and Dissertations, 2020-2023

The importance of sensing technologies in the field of transportation is ever increasing. Rapid improvements of cloud computing, Internet of Vehicles (IoV), and intelligent transport system (ITS) enables fast acquisition of sensor data with immediate processing. Machine learning algorithms provide a way to classify or predict outcomes in a selective and timely fashion. High accuracy and increased volatility are the main features of various learning algorithms. In this dissertation, we aim to use infrastructure- and vehicle-based sensors to improve safety and mobility of urban transportation systems. Smartphone sensors were used in the first study to estimate vehicle trajectory using lane …

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A Framework And Model For Managing And Sustaining A Successful Cross Functional Project Operations Team In A Multi-Project Manufacturing Environment In The Aerospace And Defense Industry, Anisulrahman Nizam Jan 2021

A Framework And Model For Managing And Sustaining A Successful Cross Functional Project Operations Team In A Multi-Project Manufacturing Environment In The Aerospace And Defense Industry, Anisulrahman Nizam

Electronic Theses and Dissertations, 2020-2023

Project manufacturing is a production manufacturing mode that develops and produces large and complex systems that is supplemented by project management techniques for planning and execution. Project manufacturing is better understood by examining it along with three other key areas: manufacturing, project management, and team management. Critical success factors for each of these areas have been examined in the literature but have not been examined in a real world setting in the aerospace and defense industry. This research examines the association between perspectives of project teams and senior management on critical success factors along the four identified dimensions of success …

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Wind Turbine Main Bearing Fatigue Prognosis With Physics-Informed Machine Learning, Yigit Yucesan Jan 2021

Wind Turbine Main Bearing Fatigue Prognosis With Physics-Informed Machine Learning, Yigit Yucesan

Electronic Theses and Dissertations, 2020-2023

Unexpected main bearing failure on a wind turbine causes unscheduled maintenance and increased operation costs (mainly due to crane, parts, labor, and production loss). Unfortunately, historical data indicates that failure can happen far earlier than the component designed lives (due to manufacturing problems, for example). For the legacy fleet, which composes the majority of the installed basis, fatigue has become a major issue. Although bearing fatigue can be expressed with physics-informed models, they often inherent large uncertainties due to operation and unknown lubricant degradation mechanism. Apart from the unknown physics of failure, additional uncertainties associated with the grease that surrounds …

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Unmanned Aerial Vehicles In Opportunistic Networks, Salih Safa Bacanli Jan 2021

Unmanned Aerial Vehicles In Opportunistic Networks, Salih Safa Bacanli

Electronic Theses and Dissertations, 2020-2023

This dissertation presents novel algorithms for utilizing unmanned aerial vehicles (UAVs) through various scenarios within opportunistic networks. The opportunistic networks are considered challenging due to the intermittent and unreliable communication between nodes. UAVs can be used for delivering packets within opportunistic networks that can alleviate communication issues. We start examining the UAV usage in opportunistic networks by first investigating their effectiveness and proposing a UAV scanning approach. To validate the usage of UAVs, we evaluated the performance of an opportunistic network with and without using UAVs. The scanning techniques we investigated were random scan, meander scan, and our proposed approach …

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Exploring Relationships Between Ground And Aerial Views By Synthesis And Matching, Krishna Regmi Jan 2021

Exploring Relationships Between Ground And Aerial Views By Synthesis And Matching, Krishna Regmi

Electronic Theses and Dissertations, 2020-2023

Cross-view images, referring to the images taken from aerial and street views, contain drastically differing representations of the same scene of a given location. Due to the differences in the camera viewpoints of ground and aerial images the same semantic concepts in the two viewpoints look very different. Therefore the problem of relating them is very challenging. Thus, it becomes crucial to explore the cross-view relations and learn appropriate representations such that images from these two domains can be associated. In this dissertation we explore the relationship between ground and aerial views by synthesis and matching. First, we explore supervised …

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Test Overfitting In Automated Program Repair: Measurements And Approaches Using Formal Methods, Amirfarhad Nilizadeh Jan 2021

Test Overfitting In Automated Program Repair: Measurements And Approaches Using Formal Methods, Amirfarhad Nilizadeh

Electronic Theses and Dissertations, 2020-2023

Bugs exist in software systems; unfortunately, manually finding bugs and repairing them is complex, time-consuming, and expensive. Automated Program Repair (APR) techniques have promising results to make the debugging process automatic and dramatically decreasing the cost of developing a software system. Almost all developed APR tools use test suites to bug localization and evaluate generated candidate patches' correctness; thus, it is named dynamic APR. Test overfitting is one of the main challenges of dynamic APR tools, which is evident from several recent studies. Test overfitting means the repaired program is not correct based on the program's expected behavior while the …

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Reliable And Efficient Cognitive Radio Communications Using Directional Antennas, Hassan Yazdani Jan 2021

Reliable And Efficient Cognitive Radio Communications Using Directional Antennas, Hassan Yazdani

Electronic Theses and Dissertations, 2020-2023

Cognitive Radio (CR) is a promising solution that enhances spectrum utilization by allowing an unlicensed or Secondary User (SU) to access licensed bands in a such way that its imposed interference on a license holder Primary User (PU) is limited, and hence fills the spectrum holes in time and/or frequency domains. Resource allocation, which involves scheduling of available time and transmit power, represents a crucial problem for the performance evaluation of CR systems. In this dissertation, we study the spectral efficiency maximization problem in an opportunistic CR system. Specifically, in the first part of the dissertation, we consider an opportunistic …

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Fpga-Augmented Secure Crash-Consistent Non-Volatile Memory, Yu Zou Jan 2021

Fpga-Augmented Secure Crash-Consistent Non-Volatile Memory, Yu Zou

Electronic Theses and Dissertations, 2020-2023

Emerging byte-addressable Non-Volatile Memory (NVM) technology, although promising superior memory density and ultra-low energy consumption, poses unique challenges to achieving persistent data privacy and computing security, both of which are critically important to the embedded and IoT applications. Specifically, to successfully restore NVMs to their working states after unexpected system crashes or power failure, maintaining and recovering all the necessary security-related metadata can severely increase memory traffic, degrade runtime performance, exacerbate write endurance problem, and demand costly hardware changes to off-the-shelf processors. In this thesis, we summarize and expand upon two of our innovative works, ARES and HERMES, to design …

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Data-Driven Analysis For Integrated Transmission And Distribution Systems With High Penetration Of Distributed Energy Resources, Inalvis Alvarez-Fernandez Jan 2021

Data-Driven Analysis For Integrated Transmission And Distribution Systems With High Penetration Of Distributed Energy Resources, Inalvis Alvarez-Fernandez

Electronic Theses and Dissertations, 2020-2023

With the high penetration of inverter-based distributed energy resources (DERs), network situational awareness is a challenge for both transmission and distribution (T&D) system operators and planners. It is becoming increasingly important to equip transmission planners with the visibility of DER dynamic performance in distribution systems. Not having visibility of the disconnection of DERs with the occurrence of transmission events, could result in an erroneous view of the stability of bulk power system. The aggregated distributed energy resource (DER_A) model is able to model the aggregated dynamic response of inverter-based DERs in distribution circuits. The parameterization of DER_A model requires extensive …

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Computation Of Effective Properties Of Smart Composite Materials With Generalized Periodicity Using The Two-Scales Asymptotic Homogenization Method, David Guinovart Sanjuan Jan 2021

Computation Of Effective Properties Of Smart Composite Materials With Generalized Periodicity Using The Two-Scales Asymptotic Homogenization Method, David Guinovart Sanjuan

Electronic Theses and Dissertations, 2020-2023

In this work, a general mathematical models for flexoelectric heterogeneous equilibrium boundary value problems are considered. A methodology to find the local problems and the effective properties of flexoelectric composites with generalized periodicity is presented, using a two-scales asymptotic homogenization method. The model of the homogenized boundary values problem is presented. A procedure to solve the local problems of stratified multilayered composites with wavy geometry with perfect contact at the interface is proposed. Further, a study of a multilayered piezoelectric composite with imperfect contact at the interface and the influence of the flexoelectric constituents in the behavior of heterogeneous structures …

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Index-Based Approach With Remote Sensing For The Assessment Of Extreme Weather Impact On Watershed Vegetation Dynamics, Kushan Bellanthudawage Jan 2021

Index-Based Approach With Remote Sensing For The Assessment Of Extreme Weather Impact On Watershed Vegetation Dynamics, Kushan Bellanthudawage

Electronic Theses and Dissertations, 2020-2023

Spatial technologies such as satellite remote sensing can be used to identify vegetation dynamics over space and time, which play a critical role in earth observations. Biophysical and biochemical features associated with vegetation cover can then be used to elucidate climate change impact such as floods and droughts on ecosystem that may in turn affect watershed-scale water resources management. Unlike single flood or drought event, intermittent extreme weather events may exert more physiological and biological pressures on the canopy vegetation. This study aims to investigate the climate change impacts on canopy vegetation, which occurred from March 2017 to October 2017 …

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Utility Of Novel Rotational Load-Velocity Profiling Methods In Collegiate Softball Players, Chad Herring Jan 2021

Utility Of Novel Rotational Load-Velocity Profiling Methods In Collegiate Softball Players, Chad Herring

Electronic Theses and Dissertations, 2020-2023

The purposes of this study were to determine the reliability of the bat swing (BS) and rotational medicine ball throw (RMBT) load-velocity profiling (LVP) methods and the relationships between LVP variables and batting performance in NCAA Division I softball players. Current NCAA Division I softball athletes participated in this study. Bat velocity was tracked with a swing sensor during the BS method. An inertial measurement unit (IMU) tracked forearm velocity during the BS and RMBT methods. Two-way intraclass correlation coefficients (ICC) were used for relative reliability and coefficient of variation (CV) was used for absolute reliability. For the BS method …

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Identifying The Links Between Mental Frameworks, Context Features, And Driver Attention In Complete Streets Environments, Patricia Tice Jan 2021

Identifying The Links Between Mental Frameworks, Context Features, And Driver Attention In Complete Streets Environments, Patricia Tice

Electronic Theses and Dissertations, 2020-2023

Complete street systems integrate a wide range of users in the same space, with unequal risks and responsibilities. This makes driver attention a critical factor in assuring the safety of vulnerable users. The Conditioned Anticipation of People psychological model of driver attention proposes that drivers reflexively reengage their metacognitive processes when they anticipate visually interacting with the human face or form due to the neurological priority that the brain places on human recognition. To test this model, an eye-tracking tabulation was generated from the SHRP2 Naturalistic Driving Study that measured midsegment percent of time on-task and multitasking behavior for 200 …

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Distributed Service Restoration In Active Distribution Networks, Nejad Reza Roofegari Jan 2021

Distributed Service Restoration In Active Distribution Networks, Nejad Reza Roofegari

Electronic Theses and Dissertations, 2020-2023

Despite tremendous efforts on increasing power system reliability, outages and blackouts are inevitable. These losses can be greatly reduced by fast and reliable restoration mechanisms. Largescale distribution networks and increasing penetration of distributed energy resources (DERs) make restoration one of the most challenging problems in power systems. The prevailing centralized restoration scheme is costly, limited by information privacy of entities, unreliable due to dependence on central units, and might suffer from single-point failures. In this dissertation, a fully distributed restoration framework based on the alternating direction method of multipliers (ADMM) is proposed to address these challenges. Accordingly, the restoration problem …

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Towards Enabling Explanation In Safety-Critical Artificial Intelligence Systems, Andy Michel Jan 2021

Towards Enabling Explanation In Safety-Critical Artificial Intelligence Systems, Andy Michel

Electronic Theses and Dissertations, 2020-2023

With the advancement of accelerated hardware in recent years, there has been a surge in the development and application of intelligent systems. Deep learning systems, in particular, have shown exciting results in a wide range of tasks: classification, detection, and recognition. Despite these remarkable achievements, there remains an active research area that aims to increase the robustness of those systems in critical domains. Deep learning algorithms have proven to be brittle against adversarial attacks. That is, carefully crafted adversarial inputs can consistently trigger an erroneous prediction from a network model. Hence the motivation of this dissertation, we study prominent adversarial …

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Sympathy For The Devil: A Compassionate Approach To Morally Reprehensible Characters In Drama, Amy Livingston Jan 2021

Sympathy For The Devil: A Compassionate Approach To Morally Reprehensible Characters In Drama, Amy Livingston

Electronic Theses and Dissertations, 2020-2023

Empathy is often heralded as a vital part of the theatrical experience. Generally understood as the experience of feeling what another person is feeling, it is believed to help actors create more honest performances and to help audiences better understand viewpoints different from their own. These empathic experiences are complicated, however, when applied to stories about characters who commit unforgivably evil acts and may lead people to feel manipulated into justifying or sharing the immoral beliefs of these characters. This thesis argues that for theatre practitioners telling stories about morally reprehensible characters, compassion, involving feelings of care and concern for …

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Artistic Science: An Exploration Of Dramaturgy Through Inquiry-Based Learning For Youth Artists, Sam Dirosa Jan 2021

Artistic Science: An Exploration Of Dramaturgy Through Inquiry-Based Learning For Youth Artists, Sam Dirosa

Electronic Theses and Dissertations, 2020-2023

In the unique world of a play, dramaturgy provides the essential multi-dimensional foundation for comprehensive exploration. As the identity of dramaturgy is complex and continues to evolve, the artistic value discovered through practice positively contributes to the theatrical experience for both artists and audience members. This substantial element is mostly absent from theatrical experiences for youth, usually making a meaningful appearance in professional and collegiate theatre productions. To promote the importance of dramaturgy, I attempt to construct and explore a learning opportunity at Long Lake Camp for the Arts, a summer performing arts camp for youth artists and performers. This …

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Spatio-Temporal Representation For Reasoning With Action Genome, Kesar Tumkur Narasimhamurthy Jan 2021

Spatio-Temporal Representation For Reasoning With Action Genome, Kesar Tumkur Narasimhamurthy

Electronic Theses and Dissertations, 2020-2023

Representing Spatio-temporal information in videos has proven to be a difficult task compared to action recognition in videos involving multiple actions. A single activity consists many smaller actions that can provide a better understanding of the activity. This paper tries to represent the varying information in a scene-graph format in order to answer temporal questions to obtain improved insights for the video, resulting in a directed temporal information graph. This project will use the Action Genome dataset, which is a variation of the charades dataset, to capture pairwise relationships in a graph. The model performs significantly better than the benchmark …

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Easy Money: Examining Social Disorganization, Urbanization, Healthcare Fraud, And Community Health In America., Wilmer Alvarez Irizarry Jan 2021

Easy Money: Examining Social Disorganization, Urbanization, Healthcare Fraud, And Community Health In America., Wilmer Alvarez Irizarry

Electronic Theses and Dissertations, 2020-2023

In the past 40 years, the health of citizens in the United States has changed significantly. The population of the United States managed to get sicker and die slower across the prior four decades. Adding to this complexity is the fact that illnesses and health behaviors in the United States are also not equally distributed by race, class, gender, or other social factors. These facts do not only reflect level of the disease and illness in the United States, but also the disparities that exist within them and the sociomedical factors that impact health. Despite costing American taxpayers between $120 …

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Model-Form Uncertainty Quantification In Prognosis And Fleet Management With Physics-Informed Neural Networks, Arinan De Piemonte Dourado Jan 2021

Model-Form Uncertainty Quantification In Prognosis And Fleet Management With Physics-Informed Neural Networks, Arinan De Piemonte Dourado

Electronic Theses and Dissertations, 2020-2023

Prognosis and health management play an important role in the control of costs associated with the operation of large industrial equipment. By properly comprehending hardware degradation and accurately predicting the remaining useful life of such equipment, we can significantly lower operational costs by reducing asset downtime and maintenance interventions. However, complex interactions between operational conditions and component capability make accurately modeling damage accumulation for large fleets a daunting task. Unforeseen factors such as aggressive missions introduced by operators, exposure to harsh environments, manufacturing issues, amongst many others, can lead to large discrepancies between predicted and observed useful life. Motivated by …

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Algorithms And Lower Bounds For Ordering Problems On Strings, Daniel Gibney Jan 2021

Algorithms And Lower Bounds For Ordering Problems On Strings, Daniel Gibney

Electronic Theses and Dissertations, 2020-2023

This dissertation presents novel algorithms and conditional lower bounds for a collection of string and text-compression-related problems. These results are unified under the theme of ordering constraint satisfaction. Utilizing the connections to ordering constraint satisfaction, we provide hardness results and algorithms for the following: recognizing a type of labeled graph amenable to text-indexing known as Wheeler graphs, minimizing the number of maximal unary substrings occurring in the Burrows-Wheeler Transformation of a text, minimizing the number of factors occurring in the Lyndon factorization of a text, and finding an optimal reference string for relative Lempel-Ziv encoding.

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Analyzing The Blockchain Attack Surface: A Top-Down Approach, Muhammad Saad Jan 2021

Analyzing The Blockchain Attack Surface: A Top-Down Approach, Muhammad Saad

Electronic Theses and Dissertations, 2020-2023

Blockchains enable secure asset exchange in a distributed system, thereby facilitating innovative applications such as cryptocurrencies and smart contracts. Although the cryptographic constructs of blockchains are highly secure, however, their practical deployments are vulnerable to various attacks due to their application-specific policies, and their peer-to-peer (P2P) network intricacies. In this work, we take a top-down approach towards exploring those attacks, starting with the application-specific abuse of blockchain-based cryptocurrencies and concluding with the network conditions that violate the blockchain consistency. In the top-down approach, we first analyze the application-specific abuse of blockchain-based cryptocurrencies by uncovering (1) covert cryptocurrency mining in the …

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Robust Acceleration Of Data-Centric Applications Using Resistive Computing Systems, Baogang Zhang Jan 2021

Robust Acceleration Of Data-Centric Applications Using Resistive Computing Systems, Baogang Zhang

Electronic Theses and Dissertations, 2020-2023

With the accessible data reaching zettabyte level, CMOS technology is reaching its limit for the data hungry applications. Moore's law has been reaching its depletion in recent studies. On the other hand, von Neumann architecture is approaching the bottleneck due to the data movement between the computing and memory units. With data movement and power budgets becoming the limiting factors of today's computing systems, in-memory computing using emerging non-volatile resistive devices has attracted an increasing amount of attention. A non-volatile resistive device may be realized using memristor, resistive random access memory (ReRAM), phase change memory (PCM), or spin-transfer torque magnetic …

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Biophysical Analysis Of The Structure And Aggregation Of Amyloid Beta Peptide, Faisal Abedin Jan 2021

Biophysical Analysis Of The Structure And Aggregation Of Amyloid Beta Peptide, Faisal Abedin

Electronic Theses and Dissertations, 2020-2023

Alzheimer's disease (AD) is the major cause of dementia and is characterized by neuronal death and brain atrophy. The amyloid ß (Aß) peptide is tightly associated with neuronal dysfunction during AD, but the molecular mechanism underlying the neurotoxic effect of Aß is poorly understood. Extracellular fibrillar deposits (plaques) of Aß were initially believed to be the cause of AD, but currently there is overwhelming evidence that the prefibrillar Aß oligomers are the major toxic entities. Structural characterization of Aß oligomers and fibrils is important for understanding the structural features determining the toxic potency of the peptide. This project has studied …

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Implication Of Manifold Assumption In Deep Learning Models For Computer Vision Applications, Marzieh Edraki Jan 2021

Implication Of Manifold Assumption In Deep Learning Models For Computer Vision Applications, Marzieh Edraki

Electronic Theses and Dissertations, 2020-2023

The Deep Neural Networks (DNN) have become the main contributor in the field of machine learning (ML). Specifically in the computer vision (CV), there are applications like image and video classification, object detection and tracking, instance segmentation and visual question answering, image and video generation are some of the applications from many that DNNs have demonstrated magnificent progress. To achieve the best performance, the DNNs usually require a large number of labeled samples, and finding the optimal solution for such complex models with millions of parameters is a challenging task. It is known that, the data are not uniformly distributed …

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Evaluating Carbon Uptake And Storage Potential Of Three Pine Species Across Environmental Gradients In Florida, Alicia Formanack Jan 2021

Evaluating Carbon Uptake And Storage Potential Of Three Pine Species Across Environmental Gradients In Florida, Alicia Formanack

Electronic Theses and Dissertations, 2020-2023

Natural climate solutions, such as reforestation, are increasingly called for to lower atmospheric CO2 concentrations and prevent further warming of the climate. Predictive modeling of forest stand dynamics provides a quantitative framework that can be used to select the tree species with the highest carbon (C) uptake potential for restoration efforts based upon site-specific and species-specific data. To simulate stand dynamics and compare C uptake and storage potential of three pine species across Florida, I developed individual-based models that combined environmentally-sensitive tree growth models with background mortality taken from the literature. Growth model parameters were estimated using space for time …

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Evaluating Ozone And Granular Activated Carbon Treatment For Control Of Disinfection By-Product Formation For A Central Florida Groundwater Supply, Devon Higgins Jan 2021

Evaluating Ozone And Granular Activated Carbon Treatment For Control Of Disinfection By-Product Formation For A Central Florida Groundwater Supply, Devon Higgins

Electronic Theses and Dissertations, 2020-2023

A pilot investigation that compared ozone oxidation with an integrated ozone and granular activated carbon (GAC) process for the control of regulated disinfection by-products at the University of Central Florida's water plant located at the Orlando campus has been completed. Treatment effectiveness was measured by monitoring the parameters pH, temperature, non-purgeable dissolved organic carbon (DOC), ultraviolet absorbance at a wavelength of 254 nm (UV254), specific ultraviolet absorbance (SUVA), excitation emission matrices (EEMs) and the associated formation of the DBP chemical groups total trihalomethanes (TTHMs) and haloacetic acids (HAAs). Groundwater that contained an average of 2.5 milligrams per liter (mg/L) DOC …

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Toward In-Situ Nanoscale Imaging And Spectroscopy: Applications In Growth And Catalysis Of Two-Dimensional Materials, Fernand Torres-Davila Jan 2021

Toward In-Situ Nanoscale Imaging And Spectroscopy: Applications In Growth And Catalysis Of Two-Dimensional Materials, Fernand Torres-Davila

Electronic Theses and Dissertations, 2020-2023

New challenges arise with advances in our understanding of two dimensional (2D) materials and their functionalities. The reactivity of defects engineered to drive targeted reactions, such as those relevant to sustainability, or to shape the electronic properties of the host material locally for new applications, such as in nanoelectronics or quantum computing, brings about the need to control the environment of the material and the defect. This is particularly important to advance fundamental studies of catalytic processes to mimic the reaction pathways taking place in large scale reactors at various defect sites. With atomic defects, this constitutes an outstanding challenge …

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A Spectroscopic Survey Of Primitive Main Belt Asteroid Populations, Anicia Arredondo-Guerrero Jan 2021

A Spectroscopic Survey Of Primitive Main Belt Asteroid Populations, Anicia Arredondo-Guerrero

Electronic Theses and Dissertations, 2020-2023

Primitive asteroids have remained mostly unprocessed since their formation, and the study of these populations has implications about the conditions of the early solar system and the evolution of the asteroid belt. This spectroscopic study of inner main-belt (IMB) primitive asteroids addresses three central objectives: 1) determine the origin and composition of objects in the near-Earth object population, particularly spacecraft targets; 2) test theories of how processes such as space weathering and aqueous alteration affect surface properties of small, low-albedo bodies; and 3) explore how primitive objects in the background population (i.e., asteroids not belonging to dynamical families) relate to …

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An Evaluation Of The Performance Of Proc Arima's Identify Statement: A Data-Driven Approach Using Covid-19 Cases And Deaths In Florida, Fahmida Akter Shahela Jan 2021

An Evaluation Of The Performance Of Proc Arima's Identify Statement: A Data-Driven Approach Using Covid-19 Cases And Deaths In Florida, Fahmida Akter Shahela

Electronic Theses and Dissertations, 2020-2023

Understanding data on novel coronavirus (COVID-19) pandemic, and modeling such data over time are crucial for decision making at managing, fighting, and controlling the spread of this emerging disease. This thesis work looks at some aspects of exploratory analysis and modeling of COVID-19 data obtained from the Florida Department of Health (FDOH). In particular, the present work is devoted to data collection, preparation, description, and modeling of COVID-19 cases and deaths reported by FDOH between March 12, 2020, and April 30, 2021. For modeling data on both cases and deaths, this thesis utilized an autoregressive integrated moving average (ARIMA) times …

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