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Shock Tube Investigations Of Novel Combustion Environments Towards A Carbon-Neutral Future, Samuel Barak
Shock Tube Investigations Of Novel Combustion Environments Towards A Carbon-Neutral Future, Samuel Barak
Electronic Theses and Dissertations
Supercritical carbon dioxide (sCO2) cycles are being investigated for the future of power generation. These cycles will contribute to a carbon-neutral future to combat the effects of climate change. These direct-fired closed cycles will produce power without adding significant pollutants to the atmosphere. For these cycles to be efficient, they will need to operate at significantly higher pressures (e.g., 300 atm for Allam Cycle) than existing systems (typically less than 40 atm). There is limited knowledge on combustion at these pressures or at the high dilution of carbon dioxide. Nominal fuel choices for gas turbines include natural gas and syngas …
Cryogenic Performance Projections For Ultra-Small Oxide-Free Vertical-Cavity Surface-Emitting Lasers, Mina Bayat
Cryogenic Performance Projections For Ultra-Small Oxide-Free Vertical-Cavity Surface-Emitting Lasers, Mina Bayat
Electronic Theses and Dissertations
Small-sized vertical-cavity surface-emitting laser (VCSEL) may offer very low power consumption along with high reliability for cryogenic data transfer. Cryogenic data transfer has application in supercomputers and superconducting for efficient computing and also focal plane array cameras operating at 77 K, and at the lower temperature of 4 K for data extraction from superconducting circuits. A theoretical analysis is presented for 77 K and 4 K operation based on small cavity, oxide-free VCSEL sizes of 2 to 6 µm, that have been shown to operate efficiently at room temperature. Temperature dependent operation for optimally-designed VCSELs are studied by calculating the …
Supporting Learning In 3d Virtual Environments: The Impact Of Intergenerational Joint Media Engagement, Robert Michlowitz
Supporting Learning In 3d Virtual Environments: The Impact Of Intergenerational Joint Media Engagement, Robert Michlowitz
Electronic Theses and Dissertations
Studies have indicated that intergenerational relationships can assist children to learn more efficiently by providing support. As new forms of media have emerged and become pervasive in our society, it is important to understand how children use them to learn. Just as television coviewing has been observed by past researchers to aid youths to learn with parents and grandparents, three-dimensional virtual learning environments (VLE) are being investigated for their potential. This study seeks to examine the potential learning impact on children, ages 8 to 13, encountering a three-dimensional virtual learning environment with their grandparents. The primary research question this study …
Mapping Addiction: A Digital Psychogeographic Approach To America's Addiction Epidemic, Clayton Benjamin
Mapping Addiction: A Digital Psychogeographic Approach To America's Addiction Epidemic, Clayton Benjamin
Electronic Theses and Dissertations
Focusing on policy consultation, my dissertation consults on the current US addiction epidemic and aims to answer, "What is our disposition to addiction?" Borrowing and clarifying Ulmer's MEmorial method, as established in his text Electronic Monuments, the dissertation combines the ancient Greek practice of theoria, Deleuzian theory, and psychogeographic counter-mapping methods to trace ways in which ideological apparatuses construct addiction. The aim of the dissertation is to reveal an abject value by constructing MEmorials which provide space for individuals to mourn loss and see their relation to that loss. Through mourning, individuals strengthen their ties to other community members and …
Design Of Unimorph Out-Of-Plane Piezoelectric Actuator, Kevin Chan
Design Of Unimorph Out-Of-Plane Piezoelectric Actuator, Kevin Chan
Electronic Theses and Dissertations
Electromechanical transduction is an important component of microelectromechanical systems (MEMS), a technology with wide-ranging applications, including mobile computing, sensors, energy harvesting, and displays. These disparate applications have varying performance requirements, but generally transduction efficiency, mechanical precision, response time, cost, compatibility with photolithography and other fabrication processes, and operability at micro-scale are all desired metrics for MEMS devices. Piezoelectric transduction provides substantial advantages, including precise displacements, quick response times, and high transduction efficiency. These strengths make piezoelectric transduction particularly well-suited for use in resonators, sensors, and energy harvesters. However, piezoelectric transduction also produces much smaller magnitudes of movements than other electromechanical …
On-Chip Esd Protection Design: Optimized Clamps, Linfeng He
On-Chip Esd Protection Design: Optimized Clamps, Linfeng He
Electronic Theses and Dissertations
The extensive use of Integrated Circuits (ICs) means complex working conditions for these tiny chips. To guarantee the ICs could work properly in various environments, some special protection strategies are required to improve the reliability of system. From all the possible reliability issues, the electrostatics discharge (ESD) might be the most common one. The peak current of electrostatics can be as high as tens of amperes and the peak voltage can be over thousand voltages. In contrast, the size of semiconductor device fabricated is continuing to scale down, making it even more vulnerable to high level overstress and current surge …
Disinfection By-Product Formation Potential Assessment For Central Florida Groundwater Supplies, Tulsi Shukla
Disinfection By-Product Formation Potential Assessment For Central Florida Groundwater Supplies, Tulsi Shukla
Electronic Theses and Dissertations
Disinfection of potable water supplies is a primary requirement of the United States' Environmental Protection Agency's (USEPA's) Safe Drinking Water Act. The use of chlorine as a disinfectant is widely accepted by water purveyors due to its effectiveness and low cost. However, chlorine reacts with natural organic matter present in water supplies to form suspected carcinogenic disinfection by-products (DBPs). In this work, the formation of the regulated chlorinated by-products total trihalomethanes (TTHMs) and haloacetic acids (HAA5) for eleven Central Florida wells has been investigated. Fluorescence, UV-254, dissolved organic carbon (DOC), specific UV absorbance (SUVA), chlorine decay, and TTHM and HAA5 …
Study Of Acceleration Sensitivity And Nonlinear Behavior In Silicon-Based Mems Resonators, Beheshteh Khazaeili Najafabadi
Study Of Acceleration Sensitivity And Nonlinear Behavior In Silicon-Based Mems Resonators, Beheshteh Khazaeili Najafabadi
Electronic Theses and Dissertations
The focus of this work is to study nonlinear behavior in silicon-based micro-resonators and more specifically develop models that could predict acceleration sensitivity and amplitude-frequency nonlinearity in such resonators. Acceleration sensitivity in silicon bulk-acoustic wave (BAW) oscillators is studied and a correlation between the resonator alignment to different crystalline planes of silicon and the observed acceleration sensitivity is established. It is shown both with experiment and the proposed finite element model, that the oscillator vibration sensitivity is significantly lower when the silicon-based lateral-extensional (LE) mode resonator is aligned to < 110 > orientation compared to when the same resonator is aligned to < 100 > . …
Artificial Magnetism And Topological Phenomena In Optics, Midya Parto
Artificial Magnetism And Topological Phenomena In Optics, Midya Parto
Electronic Theses and Dissertations
Recent years have witnessed intense research activities to effectively control the flow of photons using various classes of optical structures such as photonic crystals and metamaterials. In this regard, optics has benefited from concepts in condensed matter and solid-state physics, where similar problems concerning electronic wavefunctions arise. An important example of such correspondence is associated with the photon dynamics under the effect of an artificial magnetic field. This is especially important since photons, as neutral bosons, do not inherently interact with magnetic fields. One way to mitigate this issue is to exploit magneto-optical materials. However, as is well known, using …
High-Dynamic-Range Foveated Near-Eye Display System, Guanjun Tan
High-Dynamic-Range Foveated Near-Eye Display System, Guanjun Tan
Electronic Theses and Dissertations
Wearable near-eye display has found widespread applications in education, gaming, entertainment, engineering, military training, and healthcare, just to name a few. However, the visual experience provided by current near-eye displays still falls short to what we can perceive in the real world. Three major challenges remain to be overcome: 1) limited dynamic range in display brightness and contrast, 2) inadequate angular resolution, and 3) vergence-accommodation conflict (VAC) issue. This dissertation is devoted to addressing these three critical issues from both display panel development and optical system design viewpoints. A high-dynamic-range (HDR) display requires both high peak brightness and excellent dark …
You Can Sit With Us: An Investigation Of Organizational Rationale For Diversity And Inclusion Climate, Stephanie Leonard
You Can Sit With Us: An Investigation Of Organizational Rationale For Diversity And Inclusion Climate, Stephanie Leonard
Electronic Theses and Dissertations
Climate for inclusion has captured the attention of management scholars as well as practitioners due to the positive effects inclusive climates have on organizations. Prior research has shown that a strong climate for inclusion leads to desirable outcomes such as increased organizational commitment, job satisfaction, and creativity, as well as a decrease in intent to turnover (e.g., Acquavita et al., 2009; Groeneveld, 2011; Choi & Rainey, 2010; Pitts, 2009). However, the field is lacking understanding of the factors that impact inclusion climate (Guillaume et al., 2014). To answer this call for inclusion climate formation research, this dissertation considers the relationship …
Parameter Estimation Of Stochastic Models Against Probabilistic Temporal Logic Behavioral Specifications, Arfeen Khalid
Parameter Estimation Of Stochastic Models Against Probabilistic Temporal Logic Behavioral Specifications, Arfeen Khalid
Electronic Theses and Dissertations
The inherent behavioral variability exhibited by stochastic systems makes it a challenging task for human experts to manually analyze them. Computational modeling of such systems helps in investigating and predicting the behaviors of their underlying processes but at the same time introduces the presence of several unknown parameters. A key challenge faced in this scenario is to determine the values of these unknown parameters against known behavioral specifications. The solutions that have been presented so far estimate the parameters of a given model against a single specification whereas a correct model is expected to satisfy all the behavioral specifications when …
The Evaluation Of Classifier Performance On The Forensic Analysis Of Fire Debris And The Expansion Of The Substrate Database, Alyssa Allen
The Evaluation Of Classifier Performance On The Forensic Analysis Of Fire Debris And The Expansion Of The Substrate Database, Alyssa Allen
Electronic Theses and Dissertations
The current protocols in fire debris analysis rely on ignitable liquid pattern recognition and the identification of target compounds. These practices allow fire debris analysts to determine whether a sample contains or is absent of ignitable liquid residue and to classify that type of ignitable liquid based upon subjective thresholds. A statistical approach using computationally mixed datasets was devised in this research to generate an objective approach to the classification of fire debris samples and to determine error rates. Quadratic, linear, and partial least squares linear discriminant analysis (QDA, LDA, and PLS-DA) models were developed and evaluated to determine the …
Fundamental Characteristics Of Supercritical Co2 Combustion, Raghu Veera Manikantachari Kancherla
Fundamental Characteristics Of Supercritical Co2 Combustion, Raghu Veera Manikantachari Kancherla
Electronic Theses and Dissertations
The direct-fired supercritical CO2 (sCO2) cycle is conceptually superior to many of the trending energy production technologies due to their remarkably promising efficiency, environmental friendliness and cost. The accurate simulation of this combustion is very important because the operating conditions are very challenging to its experimentation. Hence, the current work focuses on identifying various thermal, transport, chemical kinetic models, investigating various fundamental characteristics and verifying the validity of important underlying modeling assumptions in focus to supercritical CO2 combustion. In the current work, various thermal and transport property models are identified based on accuracy, computational cost and ease of implementation for …
Optimal Recipe Screening And Applications Of Iron-Filings Based Green Environmental Media (Ifgem) For Stormwater Treatment, Andrea Valencia
Optimal Recipe Screening And Applications Of Iron-Filings Based Green Environmental Media (Ifgem) For Stormwater Treatment, Andrea Valencia
Electronic Theses and Dissertations
The applications of green sorption media for stormwater treatment and nutrient removal benefit surface and ground water bodies by reducing non-point source pollution from stormwater runoff. To enhance nitrogen and phosphorus removal, a sequential study was performed to develop an improved green sorption media in this study by including the iron filings into the previous biosorption activated media (BAM). The iron-filings-based green environmental media (IFGEM) are thus composed of sand, tire crumb, clay and ground iron filings in which clay and iron particles are supposed to have salient interactions that cannot be present in BAM. However, the optimal ratio between …
Synthesis Of Two-Dimensional Molybdenum Disulfide Nanostructures Using Molybdenum Trioxide Thin Film Via Chemical Vapor Depostion, Vanessa Charles
Synthesis Of Two-Dimensional Molybdenum Disulfide Nanostructures Using Molybdenum Trioxide Thin Film Via Chemical Vapor Depostion, Vanessa Charles
Electronic Theses and Dissertations
Two dimensional (2D) materials-based nanostructures have attracted much attention due to their unique properties which exhibit promising prospects for application in catalysis and energy storage devices. Control growth method is important in synthesizing these nanostructures. Chemical vapor deposition (CVD) is a powerful method that provides scalability and controllable way to grow high quality 2D materials-based nanostructures. Here, we report a novel CVD growth method of 2D molybdenum disulfide (MoS2) based different structures in which thin film of molybdenum trioxide (MoO3) was used as the source of molybdenum (Mo), while sulfur (S) powder was used for the chalcogen precursor. Precise control …
Linear Systems With Integral Constraints On Transient Step-Response, Bilal Salih
Linear Systems With Integral Constraints On Transient Step-Response, Bilal Salih
Electronic Theses and Dissertations
The topic of shaping and controlling transient responses of dynamic systems has important applications. Achieving a desired transient response is an essential design requirement for many control system. In this research, we discuss the impact on the transient response of linear systems when it is subjected to a set of integral constraints. The investigation is generalized in a theoretical framework. Formulation of three types of integral constraints is first discussed. The underlying goal of the problem is to shape the step response to generate a specific type of transient response which in turn satisfies the desired integral constraints. The problem …
Mechanism Of Nanogp8 In Glioblastoma Multiforme, Jonhoi Smith
Mechanism Of Nanogp8 In Glioblastoma Multiforme, Jonhoi Smith
Electronic Theses and Dissertations
Glioblastoma multiforme (GBM) is an incurable brain tumor, with patients only expecting to live 15 to 16 months post-diagnosis with the most current treatments options including surgery, chemotherapy, and radiation. How GBM resist treatment is still not very well known. However, cancer stem cells (CSCs), a subset of cells in GBM tissue considered responsible for therapeutic resistance and the poor patient prognosis. NANOG, a homeobox gene, is responsible for maintaining pluripotency of embryonic stem cells and is observed in CSCs. NANOGP8, a retrogene in the NANOG family is expressed in CSCs and provides cells with stem-like characteristics previously observed in …
Development Of 3d Printed And 3d Metal-Based Micro/Nanofabricated, And Nano-Functionalized, Microelectrode Array (Mea) Biosensors For Flexible, Conformable, And In Vitro Applications, Charles Didier
Electronic Theses and Dissertations
Emerging fields such as "Organs on a Chip", disease modeling in vitro, stem cell manufacturing and wearable bioelectronics are demanding rapid development of 3D Microelectrode Arrays (MEAs) for electrical interfacing with biological constructs. The work reported in this thesis focuses on two developmental tracks: "Dynamic 3D MEAs" and metal microfabrication for 3D MEAs. In the first part of the thesis, we explore the capabilities and limitations of 3D printed microserpentines (µserpentines) and utilize these structures to develop dynamic 3D microelectrodes. Analytical modeling of µserpentines flexibility followed by integration into a flexible Kapton® package and PDMS insulation are demonstrated. These 3D …
Computational Imaging With Limited Photon Budget, Zheyuan Zhu
Computational Imaging With Limited Photon Budget, Zheyuan Zhu
Electronic Theses and Dissertations
The capability of retrieving the image/signal of interest from extremely low photon flux is attractive in scientific, industrial, and medical imaging applications. Conventional imaging modalities and reconstruction algorithms rely on hundreds to thousands of photons per pixel (or per measurement) to ensure enough signal-to-noise (SNR) ratio for extracting the image/signal of interest. Unfortunately, the potential of radiation or photon damage prohibits high SNR measurements in dose-sensitive diagnosis scenarios. In addition, imaging systems utilizing inherently weak signals as contrast mechanism, such as X-ray scattering-based tomography, or attosecond pulse retrieval from the streaking trace, entail prolonged integration time to acquire hundreds of …
Investigation Of Computer Vision Concepts And Methods For Structural Health Monitoring And Identification Applications, Chuanzhi Dong
Investigation Of Computer Vision Concepts And Methods For Structural Health Monitoring And Identification Applications, Chuanzhi Dong
Electronic Theses and Dissertations
This study presents a comprehensive investigation of methods and technologies for developing a computer vision-based framework for Structural Health Monitoring (SHM) and Structural Identification (St-Id) for civil infrastructure systems, with particular emphasis on various types of bridges. SHM is implemented on various structures over the last two decades, yet, there are some issues such as considerable cost, field implementation time and excessive labor needs for the instrumentation of sensors, cable wiring work and possible interruptions during implementation. These issues make it only viable when major investments for SHM are warranted for decision making. For other cases, there needs to be …
Evolutionary Model Discovery: Automating Causal Inference For Generative Models Of Human Social Behavior, Chathika Gunaratne
Evolutionary Model Discovery: Automating Causal Inference For Generative Models Of Human Social Behavior, Chathika Gunaratne
Electronic Theses and Dissertations
The desire to understand the causes of complex societal phenomena is fundamental to the social sciences. Society, at a macro-scale has many measurable characteristics in the form of statistical distributions and aggregate measures; data which is increasingly abundant with the proliferation of online social media, mobile devices, and the internet of things. However, the decision-making processes and limits of the individuals who interact to generate these statistical patterns are often difficult to unravel. Furthermore, multiple causal factors often interact to determine the outcome of a particular behavior. Quantifying the importance of these causal factors and their interactions, which make up …
Optical Sensing Of Structural Dynamics In Complex Media, Jose Rafael Guzman Sepulveda
Optical Sensing Of Structural Dynamics In Complex Media, Jose Rafael Guzman Sepulveda
Electronic Theses and Dissertations
Quantifying the structural dynamics of complex media is challenging because of the multiple temporal and spatial scales involved. Thanks to the ability to retrieve collective dynamics noninvasively, light scattering-based approaches are often the methods of choice. This dissertation discusses specific features of dynamic light scattering that utilizes spatio-temporal coherence gating. It is demonstrated that this optical fiber-based approach can operate over a large range of optical regimes and it has a number of unique capabilities such as an effective isolation of single scattering, a large sensitivity, and a high collection efficiency. Moreover, the approach also provides means for proper ensemble …
Characterization Of Rare-Earth Doped Thermal Barrier Coatings For Phosphor Thermometry, Quentin Fouliard
Characterization Of Rare-Earth Doped Thermal Barrier Coatings For Phosphor Thermometry, Quentin Fouliard
Electronic Theses and Dissertations
Thermal Barrier Coatings have been extensively used to protect and insulate the metallic components in turbine engines from extreme environments to achieve higher turbine inlet temperatures, resulting in an increase in combined engine cycle efficiency, lowering NOx emissions and fuel consumption. Additionally, as the major failure mechanisms determining lifetime are thermally activated during engine operation, uncertainty in temperature measurements affects lifetime prediction. Early detection of Thermal Barrier Coatings spallation symptoms, associated with local delamination induced temperature changes, can reduce forced engine outages. Further improvements are envisioned with the development of more reliable measurement techniques. For this purpose, Phosphor Thermometry has …
Ribbeting Results: Emergent Infectious Diseases In Wetland Systems, Ariel Horner
Ribbeting Results: Emergent Infectious Diseases In Wetland Systems, Ariel Horner
Electronic Theses and Dissertations
North American amphibians have recently been impacted by two major emerging pathogens, the fungus Batrachochytrium dendrobatidis (Bd) and iridoviruses in the genus Ranavirus (Rv). Environmental, seasonal and host factors may play important roles in disease dynamics, but few studies incorporate these components into their analyses. Here, we investigated the role of environmental, seasonal, genetic and location effects on driving Bd and Rv infection prevalence and severity in a biodiversity hot spot, the southeastern United States. We used quantitative PCR to characterize Bd and Rv dynamics in natural populations of three amphibian species: Notophthalmus perstriatus, Hyla squirella and Pseudacris ornata and …
Enhanced Concrete Bridge Assessment Using Artificial Intelligence And Mixed Reality, Enes Karaaslan
Enhanced Concrete Bridge Assessment Using Artificial Intelligence And Mixed Reality, Enes Karaaslan
Electronic Theses and Dissertations
Conventional methods for visual assessment of civil infrastructures have certain limitations, such as subjectivity of the collected data, long inspection time, and high cost of labor. Although some new technologies (i.e. robotic techniques) that are currently in practice can collect objective, quantified data, the inspector's own expertise is still critical in many instances since these technologies are not designed to work interactively with human inspector. This study aims to create a smart, human-centered method that offers significant contributions to infrastructure inspection, maintenance, management practice, and safety for the bridge owners. By developing a smart Mixed Reality (MR) framework, which can …
Collaborative Artificial Intelligence Algorithms For Medical Imaging Applications, Naji Khosravan
Collaborative Artificial Intelligence Algorithms For Medical Imaging Applications, Naji Khosravan
Electronic Theses and Dissertations
In this dissertation, we propose novel machine learning algorithms for high-risk medical imaging applications. Specifically, we tackle current challenges in radiology screening process and introduce cutting-edge methods for image-based diagnosis, detection and segmentation. We incorporate expert knowledge through eye-tracking, making the whole process human-centered. This dissertation contributes to machine learning, computer vision, and medical imaging research by: 1) introducing a mathematical formulation of radiologists level of attention, and sparsifying their gaze data for a better extraction and comparison of search patterns. 2) proposing novel, local and global, image analysis algorithms. Imaging based diagnosis and pattern analysis are "high-risk" Artificial Intelligence …
Probabilistic Spatio-Magnitude Sinkhole Hazard Analysis For East Central Flrodia, Yong Je Kim
Probabilistic Spatio-Magnitude Sinkhole Hazard Analysis For East Central Flrodia, Yong Je Kim
Electronic Theses and Dissertations
In Karst areas, sinkholes are a major geohazard that creates damage and economic loss to building and civil infrastructure. The main goal of the proposed study is to develop a probabilistic spatio-magnitude sinkhole susceptibility model that predicts the potential of sinkhole occurrence on a regional scale. The dissertation presents statistical techniques such as frequency ratio (FR) and logistic regression (LR), and a machine learning technique such as artificial neural network (ANN) to develop the sinkhole hazard models. The study area was limited to the East Central Floria (ECF) region. Seven hydrogeological factors were identified as key contributing factors to sinkhole …
Integration Of Computational Fluid Dynamics And Machine Learning For Modeling Scaffold Pore Structure For Tissue Engineering, Amir Rouhollahi
Integration Of Computational Fluid Dynamics And Machine Learning For Modeling Scaffold Pore Structure For Tissue Engineering, Amir Rouhollahi
Electronic Theses and Dissertations
Freeze-casting is a popular method to produce biomaterial scaffolds with highly porous structures. Three approaches are developed to predict the scaffold pore structure as function of experimental conditions including mold geometry, material and thermal boundary conditions. First, a mathematical model integrating Computational Fluid Dynamics (CFD) with Population Balance Model is developed to predict average pore size (APS) of 3D porous chitosan alginate scaffolds and to assess the influence of the geometrical parameters of mold on scaffold pore structure. The model predicted the crystallization pattern and APS for scaffolds cast in different diameter molds and filled to different heights. The predicted …
Multi-Scale Modeling Of Viscoelastic Thin-Ply Composites, Milinda Madhusanka Yapa Yapa Hamillage
Multi-Scale Modeling Of Viscoelastic Thin-Ply Composites, Milinda Madhusanka Yapa Yapa Hamillage
Electronic Theses and Dissertations
Thin ply composites have been under the microscope of researchers for around two decades since Kawabe introduced the thin ply technology, in the Industrial Technology Center in Fukui, Japan. With the advancement of the technological aspects of manufacturing carbon fiber composites the tow spreading has improved so much as to reduce the thickness of a conventional ply up to even six-fold. Over the years carbon fiber composites have gained interest in space structures for reinforcement purposes in antennas, as structural elements that store strain energy and support the deployment of deployable structures, and in reflector concepts. Now thin-ply composites are …