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Identifying Challenges And Opportunities For Designing Social Media Nudges For Adolescents, Oluwatomisin Obajemu Jan 2022

Identifying Challenges And Opportunities For Designing Social Media Nudges For Adolescents, Oluwatomisin Obajemu

Electronic Theses and Dissertations, 2020-2023

With the prevalence of online risks encountered by youth online, strength-based approaches such as nudges have been recommended as a potential solution to subtly guide teens toward safer decisions. However, most nudging interventions to date have not been designed to cater to teens’ unique needs and online safety concerns. To address this gap, this study aimed to better understand adolescents’ perceptions and feedback on online safety nudges to inform the design of more effective online safety interventions. We conducted 12 semi-structured interviews and 3 focus group sessions with 21 teens (13 – 17 years old) to get their feedback on …

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Igniting Interest?: Female Perceptions Of Communication Effectiveness In Public Safety Recruitment Campaigns, Ashley Papagni Jan 2022

Igniting Interest?: Female Perceptions Of Communication Effectiveness In Public Safety Recruitment Campaigns, Ashley Papagni

Electronic Theses and Dissertations, 2020-2023

Despite the potential for positive impacts resulting from a diverse workforce, fire departments across the country have struggled with the recruitment and hiring of minorities for decades, with women accounting for only 4.7% of its workforce (NFPA, 2020). Due in part to the limited diversity, the fire service tends to perpetuate the stereotypes of masculinity. There are three identified issues that are leading to the lack of female applicants in public safety positions, including the lack of diversity and inclusivity in Public Safety Organizations (PSOs), the absence of women in the role as firefighters, and the absence of recruitment strategies …

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Authoring Tools For Augmented Reality Scenario Based Training Experiences, Andres Vargas Gonzalez Jan 2022

Authoring Tools For Augmented Reality Scenario Based Training Experiences, Andres Vargas Gonzalez

Electronic Theses and Dissertations, 2020-2023

Augmented Reality's (AR) scope and capabilities have grown considerably in the last few years. AR applications can be run across devices such as phones, wearables, and head-mounted displays (HMDs). The increasing research and commercial efforts in HMDs capabilities allow end users to map a 3D environment and interact with virtual objects that can respond to the physical aspects of the scene. Within this context, AR is an ideal format for in-situ training scenarios. However, building such AR scenarios requires proficiency in game engine development environments and programming expertise. These difficulties can make it challenging for domain experts to create training …

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Analysis And Characterization Of Smokeless Powders And Smokeless Powder Residues, Emily Lennert Jan 2022

Analysis And Characterization Of Smokeless Powders And Smokeless Powder Residues, Emily Lennert

Electronic Theses and Dissertations, 2020-2023

The ability to associate a smokeless powder, smokeless powder residue, or organic gunshot residue (OGSR) to one another may be helpful in determining the origin of a suspected sample and aid in linking a suspect to a crime scene. In this study, smokeless powders were extracted and analyzed via gas chromatography – mass spectrometry (GC-MS) and direct analysis in real time – high resolution mass spectrometry (DART-HRMS). Subsequently, group definition was performed using hierarchical cluster analysis and principal component analysis followed by internally validated classification models. Then, smokeless powder residues were generated in-lab and extracted. Resulting residue data from each …

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Reverse Engineering Of Adversarial Samples By Leveraging Patterns Left By The Attacker, Rahul Ambati Jan 2022

Reverse Engineering Of Adversarial Samples By Leveraging Patterns Left By The Attacker, Rahul Ambati

Electronic Theses and Dissertations, 2020-2023

Intrinsic susceptibility of deep learning to adversarial examples has led to a plethora of attack techniques with a common broad objective of fooling deep models. However, we find slight compositional differences between the algorithms achieving this objective. These differences leave traces that provide important clues for attacker profiling in real-life scenarios. Inspired by this, we introduce a novel problem of 'Reverse Engineering of aDversarial attacks' (RED). Given an adversarial example, the objective of RED is to identify the attack used to generate it. Under this perspective, we can systematically group existing attacks into different families, leading to the sub-problem of …

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A Unified Tool For Adaptive Collocation Techniques Applied To Solving Optimal Control Problems, Bethany Kelly Jan 2022

A Unified Tool For Adaptive Collocation Techniques Applied To Solving Optimal Control Problems, Bethany Kelly

Electronic Theses and Dissertations, 2020-2023

In this work, a user-friendly MATLAB tool is introduced to solve nonlinear optimal control problems by applying collocation techniques using Coupled Radial Basis Functions (CRBFs). CRBFs are a new class of Radial Basis Functions combined with a conical spline r^5, which provides the advantage of insensitivity to the shape parameter while maintaining accuracy and robustness. To solve optimal control problems, software tools are often employed to implement numerical methods and apply advanced techniques to solving differential equations. Although several commercial software tools exist for solving optimal control problems, such as ICLOCS2, GPOPS, and DIDO, there are no options available that …

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Development Of A Dual-Mode Cmos Microelectrode Array For The Simultaneous Study Of Electrochemical And Electrophysiological Activities Of The Brain, Geoffrey Mulberry Jan 2022

Development Of A Dual-Mode Cmos Microelectrode Array For The Simultaneous Study Of Electrochemical And Electrophysiological Activities Of The Brain, Geoffrey Mulberry

Electronic Theses and Dissertations, 2020-2023

Medical diagnostic devices are in high demand due to increasing cases of neurodegenerative diseases in the aging population and pandemic outbreaks in our increasingly connected global community. Devices capable of detecting the presence of a disease in its early stages can have dramatic impacts on how it can be treated or eliminated. High cost and limited accessibility to diagnostic tools are the main barriers preventing potential patients from receiving a timely disease diagnosis. This dissertation presents several devices that are aimed at providing higher quality medical diagnostics at a low cost. Brain function is commonly studied with systems detecting the …

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Cinematic Practices: An Evaluation Of Production Theories In Service Of Micro-Budget Feature Film-Making, Andrew Myerson Jan 2022

Cinematic Practices: An Evaluation Of Production Theories In Service Of Micro-Budget Feature Film-Making, Andrew Myerson

Electronic Theses and Dissertations, 2020-2023

Bottom of a Glass Blues and its accompanying dissertation, Cinematic Practices are the basis of research into production practices used by independent and micro-budget filmmakers in the Central Florida community. The research presented in this dissertation is used to satisfy the academic requirements for the University of Central Florida's Master of Fine Arts in Feature Film Production. Cinematic Practices evaluates production theories used in studio and independent film-making in the present day in addition to practices popularly embraced by local filmmakers in Central Florida. The research found that there is no shared knowledge on how to organize film crews for …

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A Flexible 3d Architecture For Cooling Future Generation Devices, Khan Mohammad Rabbi Jan 2022

A Flexible 3d Architecture For Cooling Future Generation Devices, Khan Mohammad Rabbi

Electronic Theses and Dissertations, 2020-2023

Systems that consume and convert energy produce thermal energy as a byproduct. This generation of thermal energy, if not dissipated properly, contributes to the significant temperature rise of the overall system. This temperature rise can lead to reduced efficiency and system-level failure. Future technologies will continue to face such thermal challenges. In fact, next-gen devices will demand flexible thermal management architectures for high-performance operation. To tackle these challenges, innovative liquid cooling technologies and high-speed thermal diagnostic systems must be developed simultaneously. Active and passive pulsation-liquid-cooling techniques are currently an attractive thermal management solution. In an active cooling mode, the influence …

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Spatiotemporal Analysis Of Taxi And Transportation Network Companies (Tnc) Demand In The Wake Of Covid-19, Dewan Ashraful Parvez Jan 2022

Spatiotemporal Analysis Of Taxi And Transportation Network Companies (Tnc) Demand In The Wake Of Covid-19, Dewan Ashraful Parvez

Electronic Theses and Dissertations, 2020-2023

The objective of the thesis is to understand the factors affecting spatiotemporal ridehailing demand patterns as the COVID-19 pandemic has evolved. Specifically, the current study examines the key contributing factors of weekly ridehailing demand by employing Taxi and Transportation Network Companies (TNC) trip data from January 2019 through December 2020 for New York City. The ridehailing demand is partitioned across four time periods including Morning Peak, Morning Off Peak, Evening Peak and Evening Off Peak to accommodate for the time-of-day specific variations. Drawing on the high-resolution NYC data, the current study developed pooled spatial panel models to accommodate for the …

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Development Of Active Learning Data Fixing Tool With Visual Analytics To Enhance Traffic Near-Miss Diagnosis, Jinyu Pei Jan 2022

Development Of Active Learning Data Fixing Tool With Visual Analytics To Enhance Traffic Near-Miss Diagnosis, Jinyu Pei

Electronic Theses and Dissertations, 2020-2023

This study proposes a software to upgrade the UCF SST's Automated Roadway Conflicts Identification System (ARCIS), a pixel-to-pixel manner automated safety diagnostics and conflict identification system. The system is developed to extract vehicles' trajectories and traffic parameters using unmanned aerial vehicles (UAV) video and utilizing deep learning techniques. A user-friendly tool to improve rapid system development with active-learning, data analysis, and visualization techniques is introduced, which is capable of traffic safety near-miss diagnostics based on the ARCIS output. Multiple approaches are used to enhance the system performance, including video stabilization, object filtering, stitching multiple videos, vehicle detection and tracing. In …

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The Effect Of Heat Transfer On Microstructural Development For Inconel718 Nickel-Based Superalloy In Laser Powder Bed Fusion, Erica Drobner Jan 2022

The Effect Of Heat Transfer On Microstructural Development For Inconel718 Nickel-Based Superalloy In Laser Powder Bed Fusion, Erica Drobner

Electronic Theses and Dissertations, 2020-2023

Inconel 718 (IN718) is a superalloy with excellent corrosion resistance and high temperature stability, giving rise to its popular use in the aerospace industry as well as other high performing applications. This study utilizes the relatively low conductivity of IN718 to focus in on the heat transfer procedures in which occur during the laser powder bed fusion (LPBF) manufacturing process of metals. Cylindrical samples of constant geometry with varying dimensions of thermal supports were fabricated using a compatible IN718 build plate. As thermal support size increased, heat dissipation to the build plate consequently increased. Theoretically, this modification of heat transfer …

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Deep Learning Anomaly Detection Using Edge Ai, William Holdren Jan 2022

Deep Learning Anomaly Detection Using Edge Ai, William Holdren

Electronic Theses and Dissertations, 2020-2023

Deep learning anomaly detection is an evolving field with many real-world applications. As more and more devices continue to be added to the Internet of Things (IoT), there is an increasing desire to make use of the additional computational capacity to run demanding tasks. The increase in devices and amounts of data flooding in have led to a greater need for security and outlier detection. Motivated by those facts, this thesis studies the potential of creating a distributed anomaly detection framework. While there have been vast amounts of research into deep anomaly detection, there has been no research into building …

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Aerodynamic Characterization Of An Elliptical Fairing In The Wake Of A Bluff Body, Luis Amaya Jan 2022

Aerodynamic Characterization Of An Elliptical Fairing In The Wake Of A Bluff Body, Luis Amaya

Electronic Theses and Dissertations, 2020-2023

Aerodynamic optimization is a key step in designing planes, cars, and even buildings. Numerical modeling is used to automate the optimization process and can use different methods to iterate through designs. In this process, consideration of the starting design is paramount as a poor choice can use up computational time and effort. Often, these designs are made with the intention of being out in the open, for which studies on shape variations in freestream situations abound. However, for the case where an object must be placed in the wake of another, there is little research. The study presented here aims …

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Studying The Robustness Of Machine Learning-Based Malware Detection Models: Analysis, Design, And Implementation, Ahmed Abusnaina Jan 2022

Studying The Robustness Of Machine Learning-Based Malware Detection Models: Analysis, Design, And Implementation, Ahmed Abusnaina

Electronic Theses and Dissertations, 2020-2023

With the rise of the popularity of machine learning (ML), it has been shown that ML-based classifiers are susceptible to adversarial examples and concept drifting, where a small modification in the input space may result in misclassification. The ever-evolving nature of the data, the behavioral and pattern shifting over time not only lessened the trust in the machine learning output but also created a barrier for its usage in critical applications. This dissertation builds toward analyzing machine learning-based malware detection systems, including the detection and mitigation of adversarial malware examples. In particular, we first introduce two black-box adversarial attacks on …

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A Theoretical Prototype For Narrative And Interactive Development Within A Theme Park Parade, Carson Luter Jan 2022

A Theoretical Prototype For Narrative And Interactive Development Within A Theme Park Parade, Carson Luter

Electronic Theses and Dissertations, 2020-2023

While theme park parades have developed with technology and guest demands, there is an opportunity to continue innovating the medium with additional guest interactivity. This thesis tracks experiential comparatives that provide iterative components to be utilized for a new theme park parade concept; parade "show stops" that allow for guests to approach the parade floats up-close, participatory entertainment offerings with live actor-driven branching narratives, roleplay and gameplay-driven interactive experiences, and theme park parades that follow a direct linear narrative. What follows is a theme park parade design concept, accompanied by a production and operational plan, that combines the existing spectacle …

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Enhancing The Decision-Making Process For Public-Private Partnerships' Concession Agreements: Socio-Economic Sustainability Approaches, Faisal Alghamdi Jan 2022

Enhancing The Decision-Making Process For Public-Private Partnerships' Concession Agreements: Socio-Economic Sustainability Approaches, Faisal Alghamdi

Electronic Theses and Dissertations, 2020-2023

Designing a concession for Public-Private Partnerships (PPP) agreements is a complicated process due to the number of variables that need to be considered. The PPP concession has many parameters and components, and a change in one component will considerably impact other components. Hence, the determination of the fair values of the concession components needs to be based on mutual benefits between the concession participants. The concession participants have different parts in the development of the concession; hence, they have different perspectives and goals. Therefore, the concession design needs to be constructed to balance the interests of the involved parties to …

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Computational Modeling Of Respiratory Airflow In Human Distal Airways Using Hybrid Lung Model, Adnan Islam Jan 2022

Computational Modeling Of Respiratory Airflow In Human Distal Airways Using Hybrid Lung Model, Adnan Islam

Electronic Theses and Dissertations, 2020-2023

A major challenge in the Computational Fluid Dynamics (CFD) modeling of the human respiratory system is the complex variation of geometric scale from the trachea to the peripheral airways. The current literature on image-based lung flow analysis is limited to a few (typically 5) generations beyond the trachea. Such studies, which are limited largely by computational intensity and computational cost, also have limited accuracy. In this study we propose a hybrid methodology that enables CFD analysis from the middle to the distal airways through to the alveolar level. A hybrid lung model is generated where the middle airways are reconstructed …

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The Narratives Of Latina Students Who Have Participated In Invention Education, Cristina Saenz Jan 2022

The Narratives Of Latina Students Who Have Participated In Invention Education, Cristina Saenz

Electronic Theses and Dissertations, 2020-2023

Less than 2% of patent holders in the United States identify as Latina. This statistic is problematic considering the increasing Latinx population and the empirical evidence which indicates the benefits of drawing on diverse perspectives in the invention ecosystem. In an effort to increase diversity among inventors and patent holders, K-12 programs have been created to provide opportunities for students to participate in the iterative and recursive processes of inventing. One example is the emerging field of invention education. Invention education is an educational approach which teaches students how to identify and solve problems within their communities. Little is known …

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Third Order Nonlinear Optics In Solids, Nicholas Cox Jan 2022

Third Order Nonlinear Optics In Solids, Nicholas Cox

Electronic Theses and Dissertations, 2020-2023

Nonlinear optical effects occur when strong electromagnetic waves induce changes in a medium that affect its own propagation or that of another wave. Third order optical nonlinearities scale linearly with irradiance and lead to effects like two-photon absorption and nonlinear refraction. This work focuses on the experimental and theoretical study of two-photon absorption in crystalline solids. We begin by detailing the quantum mechanical states of electrons in solids along with the computational approaches to calculate their band structure. Next, a theoretical model for the linear and nonlinear optical interaction of light with matter is presented in a many-body formalism. This …

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Bayesian Spatiotemporal Modeling With Gaussian Processes, Qing He Jan 2022

Bayesian Spatiotemporal Modeling With Gaussian Processes, Qing He

Electronic Theses and Dissertations, 2020-2023

Bayesian spatiotemporal models have been successfully applied to various fields of science, such as ecology and epidemiology. The complicated nature of spatiotemporal patterns can be well represented through priors such as Gaussian processes. This dissertation is focused on two applications of Bayesian spatiotemporal models: a) anomaly detection for spatiotemporal data with missingness and b) zero-inflated spatiotemporal count data analysis. Missingness in spatiotemporal data prohibits anomaly detection algorithms from learning characteristic rules and patterns due to the lack of most data. This project is motivated by a challenge provided by the National Science Foundation (NSF) and the National Geospatial-Intelligence Agency (NGA). …

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Using Simulation For Law Enforcement De-Escalation Training, Julie Kent Jan 2022

Using Simulation For Law Enforcement De-Escalation Training, Julie Kent

Electronic Theses and Dissertations, 2020-2023

Law enforcement needs simulation practice tailored to de-escalation skills. Law enforcement officers spend most of their training time practicing how to use force appropriately and very little time practicing how to avoid using force. There is little research into the best ways for law enforcement to reduce their use of force and the best ways to provide training to individuals to coach them to avoid using force. There are many training programs promoting de-escalation techniques, but there is little research into the effectiveness of these programs beyond the ability of individuals to perform the skills that are trained. There is …

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Light Trapping Transparent Electrodes, Mengdi Sun Jan 2022

Light Trapping Transparent Electrodes, Mengdi Sun

Electronic Theses and Dissertations, 2020-2023

Transparent electrodes represent a critical component in a wide range of optoelectronic devices such as high-speed photodetectors and solar cells. Fundamentally, the presence of any conductive structures in the optical path leads to dissipation and reflection, which adversely affects device performance. Many different approaches have been attempted to minimize such shadowing losses, including the use of transparent conductive oxides (TCOs), metallic nanowire mesh grids, graphene-based contacts, and high-aspect ratio metallic wire arrays. In this dissertation I discuss a conceptually different approach to achieve transparent electrodes, which involves recapturing photons initially reflected by highly conductive electrode lines. To achieve this, light-redirecting …

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Eco-Tya: An Exploration Of Youth Agency And The Role Of Environment In Creating Balanced Theatrical Collaborations, Sage Tokach Jan 2022

Eco-Tya: An Exploration Of Youth Agency And The Role Of Environment In Creating Balanced Theatrical Collaborations, Sage Tokach

Electronic Theses and Dissertations, 2020-2023

Systems of power in traditional theatrical and educational models may lead to controlled, efficient classrooms, but they do not help us facilitate creative, collaborative spaces. These power structures privilege some people over others and all people over environmental concerns. Eco-theatre artists emphasize the agency of more-than-human materials and encourage us to see our environment as a collaborator. Using eco-theatre theories in a synthesized methodology, this thesis explores how facilitators might interact differently with students and surroundings to disrupt power structures and lead to more inclusive collaborations. What tools and practices help students embrace challenges and work through tensions on their …

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Social Complexity And Water Management Strategies At Holtun, Guatemala, Melvin Rodrigo Guzman Piedrasanta Jan 2022

Social Complexity And Water Management Strategies At Holtun, Guatemala, Melvin Rodrigo Guzman Piedrasanta

Electronic Theses and Dissertations, 2020-2023

Water management strategies are intrinsically associated with the development of complex societies. Traditional approaches have often characterized these strategies as homogenous and monolithic. Recent studies have shown that water management among the ancient Maya was a significant source of power, but the strategies implemented, and the outcomes are highly variable and dependent on the landscape. The case of Holtun, a modest-sized site, adds to the growing body of water management research in ancient Maya archaeology as most water management systems are investigated in large primary centers. Although water resources at Holtun are relatively small, they supported large communities during the …

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Journey To The Dragon's Gate: A Study Of Hybrid Ride Systems And How They Enhance Attraction Storytelling, Matthew Moore Jan 2022

Journey To The Dragon's Gate: A Study Of Hybrid Ride Systems And How They Enhance Attraction Storytelling, Matthew Moore

Electronic Theses and Dissertations, 2020-2023

The purpose of this thesis is to explore a new type of ride design which integrates one or more transitions between formats. Theme Park visitors have come to expect a certain type of immersive experience from attractions. Most rides in the parks are very predictable such as roller coasters which offer loops, drops, speed and quick turns, while dark rides offer a slower pace with the attention on storytelling. The solution to this situation is to combine two ride systems or more into a single ride. The ride system for my attraction begins with a free-floating boat ride navigating its …

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Search Space Reduction Techniques For Solution Of Combinatorial Optimization Problems In Power System., Ranadhir Sarkar Jan 2022

Search Space Reduction Techniques For Solution Of Combinatorial Optimization Problems In Power System., Ranadhir Sarkar

Electronic Theses and Dissertations, 2020-2023

Power system is vulnerable to disastrous climate events due to sequential or successive equipment failure. In this dissertation, the problem of identifying the critical k-transmission lines that fail one after another in quick succession, and the distribution system restoration problem using tie-lines/sectionalizing switches formulated as a mixed-integer non-linear programming problem (MINLP) that determines load shed under various k-line removal scenarios are solved. These problems are combinatorial that have huge search space, and solution through enumeration is intractable for large power systems. For reduction of search space, the following mathematical tools are derived, (i) two power flow methods due to k-transmission …

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Optimization-Based Approaches To Low-Coherence Optical Diffraction Tomography, Seth Smith-Dryden Jan 2022

Optimization-Based Approaches To Low-Coherence Optical Diffraction Tomography, Seth Smith-Dryden

Electronic Theses and Dissertations, 2020-2023

Quantitative optical phase imaging techniques, such as optical diffraction tomography (ODT), are useful tools for refractive-index profiling. Many of them, however, rely on the weak-scattering assumptions, thus cannot be applied to multiple-scattering objects, or turbid media. In this thesis, I report several approaches for expanding the efficacy of ODT techniques and adapting them to new applications by use of low-coherence broadband illumination. First, I developed a method for ODT reconstruction using regularized convex optimization with a new phase-based fidelity criterion. The new criterion is necessary because objects with very different refractive-index distributions may produce similar diffracted fields (magnitude and principal-phase) …

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Zombie At Work (Aggressive) Zombie At Home: The Relationship Between Work Boredom And Romantic Partner Undermining And Disengagement, Kenzie Dye Jan 2022

Zombie At Work (Aggressive) Zombie At Home: The Relationship Between Work Boredom And Romantic Partner Undermining And Disengagement, Kenzie Dye

Electronic Theses and Dissertations, 2020-2023

Work boredom is an understudied topic within Industrial/Organizational psychology, and studies have yet to examine work boredom in the context of the work-nonwork interface. The present study reviewed the current work boredom literature and then examined two pathways by which boredom may be related to employees' behavior at home. It proposed that negative affect, in the form of frustration, is a link between work boredom and undermining behaviors toward one's romantic partner. The cognitive pathway connecting work boredom with romantic partner disengagement, was proposed to be affective rumination. These pathways were expected to be buffered with a high work-nonwork segmentation …

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Volume Xxiv (2021-2022) Jan 2022

Volume Xxiv (2021-2022)

The Marjorie Kinnan Rawlings Journal of Florida Literature

No abstract provided.

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