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Meeting Minutes 08-16-2023, Staff Advisory Council Aug 2023

Meeting Minutes 08-16-2023, Staff Advisory Council

Staff Advisory Council Meeting Documents

No abstract provided.

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Understanding Evacuation Traffic Safety Issues During Hurricane Evacuation Using Machine Learning And Connected Vehicle Data, Zaheen E Muktadi Syed Aug 2023

Understanding Evacuation Traffic Safety Issues During Hurricane Evacuation Using Machine Learning And Connected Vehicle Data, Zaheen E Muktadi Syed

Electronic Theses and Dissertations, 2020-2023

Hurricane evacuation, ordered to save lives of people of coastal regions, generates high traffic demand with increased crash risk. To mitigate such risk, transportation agencies need to anticipate highway locations with high crash risks to deploy appropriate countermeasures. With ubiquitous sensors and communication technologies, it is now possible to retrieve micro-level vehicular data containing individual vehicle trajectory and speed information. Such high-resolution vehicle data, potentially available in real time, can be used to assess prevailing traffic safety conditions. Using vehicle speed and acceleration profiles, potential crash risks can be predicted in real time. Previous studies on real-time crash risk prediction …

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Integrated Healthcare In The U.S. Safety-Net System: Meeting The Needs Of Patients Through Comprehensive Medical And Social Care, Jacqueline Devaney Aug 2023

Integrated Healthcare In The U.S. Safety-Net System: Meeting The Needs Of Patients Through Comprehensive Medical And Social Care, Jacqueline Devaney

Electronic Theses and Dissertations, 2020-2023

This thesis examines how a Patient-Centered Medical Home addresses, implements, and provides medical and social resources and services within the Florida U.S. safety-net system, and how patients and providers perceive health care interactions between each other. The safety-net clinics seek to fill the care gap for millions of uninsured low-income U.S. residents who cannot afford private insurance, are unemployed, self-employed, undocumented, or their low income exceeds the qualification threshold, and they face barriers in accessing expensive medical care in the U.S. I have conducted ethnographic research at Grace Medical Home, a safety-net clinic in Central Florida, which included five months …

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The Bishop And The Poet: Theodulf Of Orléans And The Carolingian World, Cole Taylor Aug 2023

The Bishop And The Poet: Theodulf Of Orléans And The Carolingian World, Cole Taylor

Electronic Theses and Dissertations, 2020-2023

This thesis centers on Theodulf of Orléans and the themes of love and food throughout his episcopal statutes and poetry. These two themes are connected to the larger Carolingian landscape, in which Theodulf interacts with society, culture, and religion. In covering these two themes, a more nuanced picture of Carolingian religion and society emerges, at least from the way Theodulf viewed the world around him. In considering these two themes, I further encourage the process of intertextual analysis as formulated by Rosamond McKitterick and M. A. Claussen. Furthermore, I argue that the general reforms of the Carolingian empire penetrated a …

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An Examination Of The Role Of Industry 4.0 In Supply Chain Management: Critical Success Factors And A Roadmap, Alper Senol Aug 2023

An Examination Of The Role Of Industry 4.0 In Supply Chain Management: Critical Success Factors And A Roadmap, Alper Senol

Electronic Theses and Dissertations, 2020-2023

Global supply chain management aims to enhance efficiency and profitability for suppliers, manufacturers, logistics providers, and warehouses. It faces challenges due to the complexity involved. To stay competitive, organizations in the industry are leveraging Industry 4.0 technologies, but some struggle with implementation due to limited expertise. The primary challenge of Global Supply Chain Management now is to integrate Industry 4.0 tools and technologies to maintain high-quality standards and optimized processes. This study focused on identifying the key factors that directly affect the success of integrating Industry 4.0 into the supply chain. It examined both tangible and intangible business resources and …

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Peacekeeping For Peace: Effectiveness And Impacts, Santosh Sapkota Aug 2023

Peacekeeping For Peace: Effectiveness And Impacts, Santosh Sapkota

Electronic Theses and Dissertations, 2020-2023

This dissertation examines three aspects of peacekeeping research within the overall framework of peacekeeping effectiveness and its impacts on troop-contributing countries (TCC). This dissertation comprises three different papers that employ three different methodological approaches. The first paper investigates why the military failed to achieve its primary mandate of the protection of civilians (POC) in the wake of continued killings of civilians despite the presence of peacekeepers. The general expectation from the military is to contain or eliminate violent incidents and civilian deaths in areas of responsibility (AOR). Utilizing a case study of Beni, DRC —a highly violent and militarized area …

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"Do You Want To Build With Snowman?": Positioning Twine Story Formats Through Critical Code Study, Daniel Cox Aug 2023

"Do You Want To Build With Snowman?": Positioning Twine Story Formats Through Critical Code Study, Daniel Cox

Electronic Theses and Dissertations, 2020-2023

Using critical code studies, this dissertation examines the Twine story format Snowman. Despite existing books on the authoring tool Twine, a central part of its functionality, what it names "story formats," is rarely covered. This study steps into this gap and, based on my own experiences through working on story formats and documenting examples using Twine, explores the greater social context of the story format Snowman through examining its source code. This dissertation consists of three chapters, each using a different set of research methods. First, the metaphor of a stack is used to better understand how software like Snowman …

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Transportation Electrification In Interdependent Power And Transportation Systems - Analysis, Planning, And Operation, Sina Baghali Aug 2023

Transportation Electrification In Interdependent Power And Transportation Systems - Analysis, Planning, And Operation, Sina Baghali

Electronic Theses and Dissertations, 2020-2023

Electric vehicles (EVs) are one of the eminent alternatives to decarbonize the transportation sector. However, large-scale EV adoption brings new challenges and opportunities to both transportation and power systems (TPSs). The challenges include the lack of understanding of EV driving behaviors and the associated charging demand (CD) distribution, the complex interaction of the decentralized decision-makers from TPSs, and the insufficient infrastructure from TPSs to accommodate the growing CD of EVs. On the other hand, the opportunities include benefiting the power systems by leveraging vehicle-to-grid (V2G) technologies and improving transportation mobility by incorporating strategic infrastructure planning. The goal of this dissertation …

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Assessing The Overall Utility Of Rapid Digital Documentation Methods On The Juniper Springs Recreational Site In The Ocala National Forest, Alexander Nalewaik Aug 2023

Assessing The Overall Utility Of Rapid Digital Documentation Methods On The Juniper Springs Recreational Site In The Ocala National Forest, Alexander Nalewaik

Electronic Theses and Dissertations, 2020-2023

The use of rapid digital documentation technologies remains in its infancy, although it promises to change the course of future archaeological work. With rising sea levels, the natural deterioration of historic sites and structures, and the lack of proper funding for historic and cultural sites, more of these sites are at risk of destruction. With the implementation of rapid digital documentation methods, researchers can address risks associated with data loss. To date, only a handful of cultural resource management (CRM) firms use these technologies, citing the lack of use as too expensive or difficult to learn. Using rapid digital documentation …

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"It Is In Our Dna": Athlete Activism And Social Media Discourse During The 2020 Wnba Season, Kendra Gilbertson Aug 2023

"It Is In Our Dna": Athlete Activism And Social Media Discourse During The 2020 Wnba Season, Kendra Gilbertson

Electronic Theses and Dissertations, 2020-2023

This dissertation analyzes the athlete activism in the WNBA, the use of social media for activism, and the social media discourse during the 2020 basketball season. I applied Critical Discourse Analysis to a defined set of texts including social media posts from Instagram and Twitter, user comments on social media, news articles from sports and non-sports publications, and a documentary, all related to the activism of the WNBA athletes. I chose the 2020 season because it is an exceptional case study of athlete activism and the use of social media for activism because the season was played in a single …

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Towards Efficient And Effective Representation Learning For Image And Video Understanding, Taojiannan Yang Aug 2023

Towards Efficient And Effective Representation Learning For Image And Video Understanding, Taojiannan Yang

Electronic Theses and Dissertations, 2020-2023

Deep learning has achieved tremendous success on various computer vision tasks. However, deep learning methods and models are usually computationally expensive, making it hard to train and deploy, especially on resource-constrained devices. In this dissertation, we explore how to improve the efficiency and effectiveness of deep learning methods from various perspectives. We first propose a new learning method to learn computationally adaptive representations. Traditional neural networks are static. However, our method trains adaptive neural networks that can adjust their computational cost during runtime, avoiding the need to train and deploy multiple networks for dynamic resource budgets. Next, we extend our …

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A Unique Method Of Using Information Entropy To Evaluate The Reliability Of Deep Neural Network Predictions On Intracranial Electroencephalogram, Elakkat Dharmaraj Gireesh Aug 2023

A Unique Method Of Using Information Entropy To Evaluate The Reliability Of Deep Neural Network Predictions On Intracranial Electroencephalogram, Elakkat Dharmaraj Gireesh

Electronic Theses and Dissertations, 2020-2023

Deep Neural networks (DNN) are fundamentally information processing machines, which synthesize the complex patterns in input to arrive at solutions, with applications in various fields. One major question when working with the DNN is, which features in the input lead to a specific decision by DNN. One of the common methods of addressing this question involve generation of heatmaps. Another pertinent question is how effectively DNN has captured the entire information presented in the input, which can potentially be addressed with complexity measures of the inputs. In the case of patients with intractable epilepsy, appropriate clinical decision making depends on …

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Optimizing Information Values In Smart Mobility, Fatima Afifah Aug 2023

Optimizing Information Values In Smart Mobility, Fatima Afifah

Electronic Theses and Dissertations, 2020-2023

Smart mobility, enabled by advanced sensing, communication, vehicle, and emerging mobility technologies, has transformed transportation systems. Real-time information shared by public and private entities plays a pivotal role in smart mobility, which facilitates informed decision-making, including effective mode choice, dynamic vehicle control, optimized travel routing, and strategic vehicle relocation. While more information is believed to benefit individual decision makers, it is crucial to acknowledge that the effects of information on transportation network performance are contingent; more information may not always benefit the safety and mobility of the whole system. The goal of this dissertation is to investigate the effects of …

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Optimal Sequencing And Scheduling Algorithm For Traffic Flows Based On Extracted Control Actions Near The Airport, Sharmistha Chakrabarti Aug 2023

Optimal Sequencing And Scheduling Algorithm For Traffic Flows Based On Extracted Control Actions Near The Airport, Sharmistha Chakrabarti

Electronic Theses and Dissertations, 2020-2023

This dissertation seeks to design an optimization algorithm, based on naturalistic flight data, with emphasis on safety to perform a benefits' analysis when sequencing and scheduling aircraft at the runway. The viability of creating a decision-support tool to aid air traffic controllers in sequencing and optimizing airport operations is evaluated through the benefits' analysis. Air traffic control is a complex and critical system that ensures the safe and efficient movement of aircraft within the airspace. This is particularly true in the immediate vicinity of an airport. Unlike in en-route or terminal area airspace where aircraft usually traverse well established routes …

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Distributed Optimization With Limited Communication In Networks With Adversaries, Iyanuoluwa Emiola Aug 2023

Distributed Optimization With Limited Communication In Networks With Adversaries, Iyanuoluwa Emiola

Electronic Theses and Dissertations, 2020-2023

We all hope for the best but sometimes, one must plan for ways of dealing with the worst-case scenarios, especially in a network with adversaries. This dissertation illustrates a detailed description of distributed optimization algorithms over a network of agents, in which some agents are adversarial. The model considered is such that adversarial agents act to subvert the objective of the network. The algorithms presented in this dissertation are solved via gradient-based distributed optimization algorithm and the effects of the adversarial agents on the convergence of the algorithm to the optimal solution are characterized. The analyses presented establish conditions under …

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Improving Basic Cadet Training For Changing Environment: Case Study At The Korea Air Force Academy, Yoojin Kwon Aug 2023

Improving Basic Cadet Training For Changing Environment: Case Study At The Korea Air Force Academy, Yoojin Kwon

Electronic Theses and Dissertations, 2020-2023

Increasing uncertainty, such as Covid-19 and weather changes, threatens BCT (Basic Cadet Training) at ROKAFA (Republic of Korea Air Force Academy). In preparation for the changing and adverse environment, this study carried out the following steps to propose a system improvement utilizing LVC (Live, Virtual, Constructive) in BCT system at ROKAFA; 1) Researching the examples of BCT and LVC by advanced countries, 2) Analyzing BCT (ROKAFA) through systems approach (document analysis, survey of 140 cadets and officers, written interviews with military experts), 3) Applying LVC to BCT. BCT is a vital step in the transition from civilian to military status …

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Detecting Team Conflict From Multiparty Dialogue, Ayesha Enayet Aug 2023

Detecting Team Conflict From Multiparty Dialogue, Ayesha Enayet

Electronic Theses and Dissertations, 2020-2023

The emergence of online collaboration platforms has dramatically changed the dynamics of human teamwork, creating a veritable army of virtual teams composed of workers in different physical locations. The global world requires a tremendous amount of collaborative problem solving, primarily virtual, making it an excellent domain for computer scientists and team cognition researchers who seek to understand the dynamics involved in collaborative tasks to provide a solution that can support effective collaboration. Mining and analyzing data from collaborative dialogues can yield insights into virtual teams' thought processes and help develop virtual agents to support collaboration. Good communication is indubitably the …

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Annotation Efficient Visual Recognition: From Semi-Supervised To Few-Shot Learning, Mamshad Nayeem Rizve Aug 2023

Annotation Efficient Visual Recognition: From Semi-Supervised To Few-Shot Learning, Mamshad Nayeem Rizve

Electronic Theses and Dissertations, 2020-2023

In recent years, supervised deep learning has achieved remarkable success in solving a wide range of visual recognition problems. Large-scale labeled datasets have been crucial for this success and the progress has primarily been limited to controlled environments. In this dissertation, we present methods to improve the annotation efficiency of deep visual recognition models and also propose methods to improve the performance of annotation-efficient models in unconstrained open-world settings. To address the annotation bottleneck in supervised learning, we introduce a pseudo-labeling framework for semi-supervised learning. While consistency regularization methods dominate the field, they heavily rely on domain-specific data augmentations, limiting …

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Deep Video Understanding With Model Efficiency And Sparse Active Labeling, Aayush Jung Bahadur Rana Aug 2023

Deep Video Understanding With Model Efficiency And Sparse Active Labeling, Aayush Jung Bahadur Rana

Electronic Theses and Dissertations, 2020-2023

Videos capture the inherently sequential nature of the real world, making automatic video understanding an essential need for automatic understanding of the real world. Due to major advancements in camera, communication, and storage hardware, videos have become a widely used data format for crucial applications such as home automation, security, analysis, robotics, and autonomous driving. Existing methods for video understanding require heavy computation and large training data for good performance, this limits how quick the videos can be processed and how much data can be labeled for training. Real-world video understanding requires analyzing dense scenes and sequential information, which increases …

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The Performance Of A Liquid-Fueled High Pressure Igniter For Scramjets, Gerardo Rodriguez Aug 2023

The Performance Of A Liquid-Fueled High Pressure Igniter For Scramjets, Gerardo Rodriguez

Electronic Theses and Dissertations, 2020-2023

Ignition systems within scramjet combust ors remain a trending topic of research because of the essential role they play in the engine's operation. An alternative to currently researched ignition systems is investigated in this study with the main goal of u tilizing the same liquid fuel as the mai n combustion chamber for the ignition system itself. In this case, JetA fuel was injected in a liquid jet in crossflow configuration with air to atomize the fuel. To characterize this ignition system, metrics such as combustion chamber pressure rise, pulse frequency, and jet penetration were used to validate possible utilization …

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A High-Pressure Shock Tube Study Of Hydrogen And Ammonia Addition To Natural Gas For Reduced Carbon Emissions In Power Generation Gas Turbines, Michael Pierro Aug 2023

A High-Pressure Shock Tube Study Of Hydrogen And Ammonia Addition To Natural Gas For Reduced Carbon Emissions In Power Generation Gas Turbines, Michael Pierro

Electronic Theses and Dissertations, 2020-2023

Ignition delay times from undiluted mixtures of natural gas (NG)/H2/Air and NG/NH3/Air were measured using a high-pressure shock tube at the University of Central Florida. The combustion temperatures were experimentally tested between 1000-1500 K near a constant pressure of 25 bar. Mixtures were kept undiluted to replicate the same chemistry pathways seen in gas turbine combustion chambers. Recorded combustion pressures exceeded 200 bar due to the large energy release, hence why these were performed at the high-pressure shock tube facility. The data is compared to the predictions of the NUIGMech 1.1 mechanism for chemical kinetic model validation and refinement. An …

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Flow Induced Vibration In Corrugated Metal Flexhoses, Patrick Tran Aug 2023

Flow Induced Vibration In Corrugated Metal Flexhoses, Patrick Tran

Electronic Theses and Dissertations, 2020-2023

This study on flow-induced vibration provides valuable insights into the fundamental dynamics of fluid-structure interactions. The findings contribute to the development of predictive models and design guidelines for engineering systems susceptible to flow-induced vibration. By improving our understanding of this phenomenon, engineers can enhance the safety and reliability of various structures subjected to fluid flow, such as pipelines, flexhoses, and bellows. Flowinduced vibration is a phenomenon that occurs when fluid flow interacts with a structure, leading to oscillations and potentially causing mechanical damage. Understanding the underlying mechanisms and predicting the vibration characteristics is crucial for the design and safe operation …

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A Study Of The Influence Of Heat Flux On Aerodynamics In Hypersonic Flow, Kristina Pionessa Aug 2023

A Study Of The Influence Of Heat Flux On Aerodynamics In Hypersonic Flow, Kristina Pionessa

Electronic Theses and Dissertations, 2020-2023

This study investigates the utilization of computational fluid dynamics (CFD) to simulate aerodynamic heating effects in support of research and design endeavors. The initial investigation demonstrates the effectiveness of a computational approach in analyzing different geometries and flow conditions. Specifically, CFD is employed to analyze the aerodynamics of a blunt cone, double cone, and hypersonic leading edge experiencing a changing heat source across the flow/body boundary. At the stagnation point, maximum thermal loading occurs as previously found; therefore, boundary layer thickness and shock standoff distance is measured at that position to compare the results of each case. Characteristics such as …

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Human Recognition Theory And Facial Recognition Technology: A Topic Modeling Approach To Understanding The Ethical Implication Of A Developing Algorithmic Technologies Landscape On How We View Ourselves And Are Viewed By Others, Hajer Albalawi Aug 2023

Human Recognition Theory And Facial Recognition Technology: A Topic Modeling Approach To Understanding The Ethical Implication Of A Developing Algorithmic Technologies Landscape On How We View Ourselves And Are Viewed By Others, Hajer Albalawi

Electronic Theses and Dissertations, 2020-2023

The emergence of algorithmic-driven technology has significantly impacted human life in the current century. Algorithms, as versatile constructs, hold different meanings across various disciplines, including computer science, mathematics, social science, and human-artificial intelligence studies. This study defines algorithms from an ethical perspective as the foundation of an information society and focuses on their implications in the context of human recognition. Facial recognition technology, driven by algorithms, has gained widespread use, raising important ethical questions regarding privacy, bias, and accuracy. This dissertation aims to explore the impact of algorithms on machine perception of human individuals and how humans perceive one another …

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Studying Memes During Covid Lockdown As A Lens Through Which To Understand Video-Mediated Communication Interactions, Tatyana Claytor Aug 2023

Studying Memes During Covid Lockdown As A Lens Through Which To Understand Video-Mediated Communication Interactions, Tatyana Claytor

Electronic Theses and Dissertations, 2020-2023

The purpose of this study is to analyze image macros about video-mediated communication (VMC) created during the time frame of 2020-2021 when people all over the world started using Zoom and VMC for work and school. It is a unique opportunity to study how users' interactions with themselves and with others were affected at a time when a lot of people started using the technology at the same time. Because the focus is on interactions, I narrowed it down to three topics to analyze the memes: presence, self, and space and place to analyze the memes. I chose memes relating …

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Florida's Vanishing Heritage: Climate Risk And Adaptation At Florida Heritage Sites, Levi Watson Aug 2023

Florida's Vanishing Heritage: Climate Risk And Adaptation At Florida Heritage Sites, Levi Watson

Electronic Theses and Dissertations, 2020-2023

This thesis examines history and preservation at coastal cultural heritage sites threatened by climate change and explores climate adaptation strategies at two sites on Florida's Atlantic coast. Current climate change models indicate the planet may see as much as 1.1 meters, or four feet, of global average sea level rise by the year 2100, requiring site managers to intervene by using adaptation techniques to improve resilience and guard against the loss of cultural heritage monuments. Understanding the history and importance of these sites to the surrounding communities and their numerous stakeholders is the first step to ensuring these sites remain …

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Understanding The Mechanisms By Which Cable Sway Produces Motion Artifact In Mobile Electroencephalography, David Rojas Aug 2023

Understanding The Mechanisms By Which Cable Sway Produces Motion Artifact In Mobile Electroencephalography, David Rojas

Electronic Theses and Dissertations, 2020-2023

Mobile brain/body imaging utilizes electroencephalography (EEG) to record brain activity during human walking in dynamic environments. Motion artifact from cable sway affects the quality of EEG signals collected from the scalp, masking contributions of synchronously firing neurons. Previous studies have explored cable sway-induced motion artifact, but only during vigorous exercise or controlled sinusoidal motion. Therefore, a need remains to further understand the underlying mechanisms of this artifact, as it may help with developing real-time mitigation methods, reducing reliance on offline signal processing. In this thesis, I aimed to show that controlled cable sway could produce specific motion artifact waveforms in …

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Experimental Analysis On Effects Of Inclination And Direction On Supercritical Carbon Dioxide Heat Transfer For Internal Pipe Flow, Emmanuel Gabriel-Ohanu Aug 2023

Experimental Analysis On Effects Of Inclination And Direction On Supercritical Carbon Dioxide Heat Transfer For Internal Pipe Flow, Emmanuel Gabriel-Ohanu

Electronic Theses and Dissertations, 2020-2023

Supercritical carbon dioxide (sCO2) can be utilized as a working or heat transfer fluid in various thermal systems with applications in large-scale power cycles; portable power production units, coolant systems and devices. However, there are no sufficient methods and equations of heat transfer coefficient correlations, and in addition insufficient research studies about the mechanisms controlling heat transfer processes for sCO2. This study is motivated by the need to understand the intricate properties of sCO2 heat transfer and fluid dynamics with an emphasis on flow direction and inclination effects. This paper presents the study on effects of gravity, buoyancy on sCO2 …

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Puerto Rico's Cultural Industry (Re)Construction: A Study On Vulnerable Systems, Post-Disaster U.S. Philanthropy, And Autogestión Through Puerto Rican Artists And Cultural Managers' Perspectives, Andrea Ocasio Cruz Aug 2023

Puerto Rico's Cultural Industry (Re)Construction: A Study On Vulnerable Systems, Post-Disaster U.S. Philanthropy, And Autogestión Through Puerto Rican Artists And Cultural Managers' Perspectives, Andrea Ocasio Cruz

Electronic Theses and Dissertations, 2020-2023

Hurricane Maria hit Puerto Rico in 2017, and its aftermath significantly changed the local cultural industry's funding infrastructure. Philanthropic foundations in the United States (US) have provided financial support to local artists, educators, cultural managers, and institutions after the storm for over four years. Based on semi-structured interviews with eight participants and fieldwork, this study provides insight into the colonial and neoliberal policies that progressively stripped the cultural industry's public funding infrastructure and ushered in a US-led "impromptu Institute of Culture." This study proposes that Puerto Rico's cultural industry was founded on a vulnerable system shaped by colonialism, resulting in …

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Theoretical Framework Of Exchange Coupled Tripartite Spin Systems With Magnetic Anisotropy And Predictions Of Spin And Electronic Transport Properties For Their Use In Quantum Architectures, Eric Switzer Aug 2023

Theoretical Framework Of Exchange Coupled Tripartite Spin Systems With Magnetic Anisotropy And Predictions Of Spin And Electronic Transport Properties For Their Use In Quantum Architectures, Eric Switzer

Electronic Theses and Dissertations, 2020-2023

There has been significant interest in spin systems involving two or more coupled spins as a single logical qubit, particularly for scalable quantum computing architectures. Recent realizations include the so-called singlet-triplet qubits and coupled magnetic molecules. An important class of coupled-spin systems, the three-spin paradigm for spin greater than 1/2, has not yet been fully realized in scalable qubit architectures. In this thesis, I develop the theoretical framework to investigate a class of tripartite spin models for realistic systems. First, I model a spin 1/2 particle (e.g., an electron) and two spin 1 particles (in a dimer arrangement) coupled with …

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