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Articles 1 - 30 of 10590
Full-Text Articles in Entire DC Network
Bayesian Network: An Explainable Artificial Intelligence (Xai) Approach To Human Performance Modelling For Control Room Operations, Houda Briwa
Theses
Alarm systems in process industry control rooms routinely exceed the performance targets set by standards such as EEMUA 191, placing operators under conditions where reliable performance is most difficult to achieve. Predicting how operators respond under such conditions is central to risk management, yet current Human Reliability Assessment (HRA) methods depend on expert judgement that is rarely tested against operational evidence, assume independence among factors known to interact, and do not explicitly represent the cognitive processes through which performance emerges. In Resilience Engineering terms, these methods encode Work-as-Imagined with limited means to assess how far expectations hold when work is …
Predictive Modeling For Traffic Accident Severity Using Machine Learning, Ahmad Bin Eid
Predictive Modeling For Traffic Accident Severity Using Machine Learning, Ahmad Bin Eid
Theses
Road traffic accidents remain a persistent public safety challenge, responsible for over 1.3 million deaths annually according to the World Health Organization. While considerable effort has gone into understanding accident patterns, predicting the severity of an accident before or immediately after it occurs remains a difficult problem — particularly when the underlying data is messy, imbalanced, and largely categorical in nature. This study applies three supervised machine learning classification algorithms — Logistic Regression, Random Forest, and Gradient Boosting — to predict the severity of road traffic accidents using a dataset of 12,316 records collected by the Addis Ababa Sub-city Police …
Workload-Aware Performance Prediction And Data Movement For Data-Intensive Computing, Kevin Assogba
Workload-Aware Performance Prediction And Data Movement For Data-Intensive Computing, Kevin Assogba
Theses
Data-intensive workloads in high-performance computing and artificial intelligence move massive volumes of data across deep memory and storage hierarchies, often spending more time moving data than computing on it. Their access patterns, data-sharing relationships, and computational graph properties are largely determined by descriptors known to the application before execution. However, general-purpose runtimes treat this structure as opaque, and the resulting gap between workload behavior and runtime decisions accounts for a substantial fraction of their execution time. Despite advances in performance modeling and data-movement systems, this structure remains underexploited. Schedulers, caches, and I/O paths provision resources conservatively, prediction models are rarely …
Electromagnetic Signatures Of Massive Binary Black Hole Systems, Kaitlyn Porter
Electromagnetic Signatures Of Massive Binary Black Hole Systems, Kaitlyn Porter
Theses
(EM) radiation, with their observable signatures shaped by the complex interplay between orbital dynamics, gas dynamics, and radiative processes. The evolution of the surrounding accretion flow is governed by general relativistic magnetohydrodynamics (GRMHD) within a strongly curved, timedependent spacetime, making the prediction of observable EM signals a challenging computational problem. This dissertation presents the development of a general relativistic ray-tracing framework that post-processes numerical relativity GRMHD simulations of accreting SMBHB systems. The framework enables the calculation of predicted images, spectra, and light curves throughout the inspiral, merger, and early post-merger phases. In parallel, improvements are made to an analytical model …
Combined Effects Of Space-Relevant Thermal & Radiation Stress On Wide-Gap Mixed-Halide Perovskite Solar Cells, Veran Stanek
Combined Effects Of Space-Relevant Thermal & Radiation Stress On Wide-Gap Mixed-Halide Perovskite Solar Cells, Veran Stanek
Theses
Mixed-halide wide-band gap perovskites are attractive for space power due to their high open-circuit voltages and compatibility with tandem device architectures, but their response to combined orbital stressors remains under-explored. Here, we study 1.86 eV band gap all-inorganic CsPbI2Br solar cells across a space-relevant thermal window of -80°C to +100°C before and after 1.0 M eV proton irradiation. n-i-p devices exhibit notable radiation tolerance retaining approximately 60% of initial power conversion efficiency (PCE) upon irradiation with a fluence of 5 × 10^13 cm^−2. Temperature-dependent hyperspectral photoluminescence imaging and spectroscopy uncover a reversible low-temperature emissive heterogeneity in the perovskite absorber, manifested …
Zineth, Colin Wilcox
Zineth, Colin Wilcox
Theses
This thesis asks whether a brand can generate real engagement without surrendering to an algorithm, and whether web design can recover the color, mystery, and sense of discovery it traded away as the internet corporatized. Daily internet use has risen every year on record, yet the spaces users inhabit have flattened into grey buttons and endless feeds. This question is answered through Zineth, a hybrid brand universe told across three coordinated forms: a Risograph-printed zine, a dense and layered website, and limited clothing drops. The zine operates as a key. Codes printed in its pages unlock gated areas of the …
A Large-Scale Annotated Flight Time-Series Dataset And Geospatial Post-Flight Analysis Tools For Ngafid, Roman Kozulia
A Large-Scale Annotated Flight Time-Series Dataset And Geospatial Post-Flight Analysis Tools For Ngafid, Roman Kozulia
Theses
This work presents three contributions to the National General Aviation Flight Information Database (NGAFID): a maintenance-linked flight dataset forpredictivemaintenanceresearch, anaviationchartprocessingservice, and an interactive geospatial heat map for post-flight event analysis. The first contribution is a maintenance-linked flight dataset for predic- tive maintenance and prognostics research in general aviation. The dataset contains approximately 100,000 non-simulated maintenance work orders and more than a million multivariate flight recordings extracted from NGAFID. Eachflightisassociatedwithmaintenancerecordsandlabeledaspre-maintenance, day-of-maintenance, or post-maintenance. Flights are exported as one-hertz sensor time series with flight-phase annotations, while a clustering pipeline groups technician-written maintenance records into event categories. To our knowledge, thisisthelargestpubliclyavailablegeneralaviationflightdataset linked to …
Lost In Translation: Quantifying Political Sociolect Divergence And Testing Llm Reliability As Political Interpreters, Daniel J. Corcoran
Lost In Translation: Quantifying Political Sociolect Divergence And Testing Llm Reliability As Political Interpreters, Daniel J. Corcoran
Theses
In the United States political sphere, growing polarization between Democrats and Republicans, particularly their more ideologically extreme wings, has given rise to distinct English-adjacent languages, shaped by social tendencies and referred to as “sociolects”. These sociolects offer a new avenue to analyze and further quantify growing polarization, and as Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) become increasingly embedded in political and social analysis, understanding their depth of political reasoning, biases, and classification behavior has become imperative. In this study, we sourced comment data from the CNN, Fox, and MSNBC YouTube channels, spanning from 2020 through 2024, trained …
Navigating Errors: Voice Assistants And Aging Users, Bea Marithe V. Pulido
Navigating Errors: Voice Assistants And Aging Users, Bea Marithe V. Pulido
Theses
This study examined how age relates to usability, cognitive load, and affect when using voice-user interfaces (VUIs). VUIs such as Siri, Alexa, and Google Home are increasingly common and allow users to complete tasks through voice commands. While these systems can be convenient and accessible, especially for older adults, they often provide brief or unclear feedback when errors occur, making it difficult for users to understand what went wrong and how to continue the interaction. The current study compared older and younger adults (n = 40) to examine group differences in perceived usability, cognitive load, and affective change during VUI …
Accelerometer-Based Longitudinal Center Of Gravity Estimation With Lateral Acceleration Compensation, John Wynne
Accelerometer-Based Longitudinal Center Of Gravity Estimation With Lateral Acceleration Compensation, John Wynne
Theses
Spatially separated accelerometers and measured rotational motion can enable estimation of an aircraft’s longitudinal center-of-gravity (CG) location. Because the unrestricted rigid-body governing equations form an underdetermined system, the problem is reduced by assuming known lateral and vertical CG coordinates. The resulting estimator uses the lateral acceleration equation, where sensitivity to longitudinal CG is governed by the rotational excitation term 𝑀_21 = 𝑝𝑞 + 𝑟̇. Three representations of lateral acceleration at the CG are evaluated: a zero- acceleration assumption, a linear sideslip angle model, and a model based on sideslip angle and true airspeed squared. Each model is calibrated using known …
All The Pretty Ponies, David Rose
All The Pretty Ponies, David Rose
Theses
Adopting a nonconventional, narrative approach, this thesis explores a world of ponies where memories become distorted and rewritten through the author’s self-insert of a 'little pink pony' persona to illustrate the psychological states investigated in the exhibit. This paper serves as an artistic companion piece to the thesis exhibition by David Rose that featured these concepts through visual media. David utilizes painting, screenprinting, and animation as mediums for this body of work. This thesis is written like a story because David’s work is founded on the principle of creating and displaying an experience rather than simply stating the facts. Through …
Consumer Behavior In End-Of-Current-Use Electronics: A Multi-Method Approach To Improving Sustainability Outcomes, Payam Saeedi
Consumer Behavior In End-Of-Current-Use Electronics: A Multi-Method Approach To Improving Sustainability Outcomes, Payam Saeedi
Theses
The proliferation of network-connected consumer electronics has created a sustained challenge for sustainability and data security at the End-of-Current-Use (EoCU) stage. In the United States, devices accumulate in storage rather than entering reuse or recycling pathways, and a substantial share of devices change hands without proper data sanitization. This dissertation characterizes and quantifies consumer behavior at EoCU of consumer electronics in the U.S., with the goal of supporting the design of interventions that improve sustainability and data security outcomes. A survey of 4,000 U.S. respondents (3,747 after data cleaning) was developed and deployed across 10 categories of network-connected devices, capturing …
Archaeal Signal Peptide Prediction Through Integration Of Proteomics And Machine Learning, Anjali Kaur
Archaeal Signal Peptide Prediction Through Integration Of Proteomics And Machine Learning, Anjali Kaur
Theses
Signal peptides are short N-terminal amino acid sequences that direct proteins through cellular secretion pathways and play an essential role in protein localization and function. Computational tools such as SignalP are widely used to predict signal peptides. However, prediction accuracy for archaeal proteins remains lower than for bacterial and eukaryotic proteins, likely because relatively few archaeal proteins were available for model training. The goal of this study was to determine whether expanding the archaeal training data used by SignalP 6.0 could improve archaeal signal peptide prediction. Archaeal proteomics datasets from five archaeal species were analyzed to identify proteins with experimentally …
Chronotivity: Concurrent And Prospective Influences On Creative Performance Among College Students, Hreem Mahadeshwar
Chronotivity: Concurrent And Prospective Influences On Creative Performance Among College Students, Hreem Mahadeshwar
Theses
Creativity is increasingly understood as a dynamic process influenced by biological, psychological, and contextual factors. Previous research has linked chronotype, sleep quality, affect, curiosity, and creative self-efficacy to creative performance; however, relatively little is known about how these factors jointly relate to creativity among college students or whether they predict creative performance over time. The present study examined concurrent and prospective relationships in undergraduate students at RIT (T1: n = 210; T2: n = 38), between these variables and creative performance using a two-timepoint design. Creative performance was assessed using the Alternative Uses Task and scored for creative quality and …
Personalization And Generalization In Machine Learning For Affective Ai, Rajesh Titung
Personalization And Generalization In Machine Learning For Affective Ai, Rajesh Titung
Theses
Human emotional communication involves subtle, low-intensity, and context-dependent expressions influenced by sociocultural and interpersonal factors. Their inherent ambiguity and variability create heterogeneous data distributions, making affective phenomena difficult to model in naturalistic settings where expressions differ from exaggerated affect behaviors in acted environments. Affective AI faces the fundamental challenge of balancing personalization, which captures individual nuances, with generalization, which ensures robustness of affective AI systems across individuals. Traditional centralized models emphasizing generalization often fail to capture fine-grained expressive heterogeneity, while fully personalized models improve system performance for individuals but lack transferability and robustness. The central task is thus to develop …
A Scalable And Physically Interpretable Machine Learning Approach To Analyzing Agn Spectra, Liza Maria Matrecito Salcedo
A Scalable And Physically Interpretable Machine Learning Approach To Analyzing Agn Spectra, Liza Maria Matrecito Salcedo
Theses
The broad-line region (BLR) is a sub-parsec region in an Active Galactic Nucleus (AGN) where dense, optically thick gas clouds produce broad emission lines (BELs). BELs are important probes of physical processes near the central supermassive black hole (SMBH); however, a complete understanding of the BLR’s structure and dynamics remains lacking. The observed diversity in BEL profile shapes suggests substantial differences in BLR properties across AGN. The availability of large-scale spectroscopic databases provides a valuable opportunity to systematically study these properties in large samples of AGN. They also offer the opportunity to identify rare but important systems, such as SMBH …
The Interactions That Shape Us: An Investigation Of The Supernova Engine’S Effect On Bbh Mergers, And Of Stellar Encounters In The Disks Of Active Galactic Nuclei, Zoe A. Rosenberg
The Interactions That Shape Us: An Investigation Of The Supernova Engine’S Effect On Bbh Mergers, And Of Stellar Encounters In The Disks Of Active Galactic Nuclei, Zoe A. Rosenberg
Theses
Mergers and other close interactions between astrophysical objects such as black holes and stars are powerful and energetic occurrences, capable of creating heavy elements, forming intriguing remnants, and shaping the populations of stars and compact objects around them. In this thesis, we describe two studies which examine two types of close gravitational events: isolated binary black hole mergers and dynamic stellar interactions in a dense environment. For our first study, we investigate how modifying the speed of convection in the engine behind core-collapse supernova explosions affects the population of merging binary black holes. To get an accurate picture of this …
Comparing Initial Data For Binary Neutron Star Mergers With Different Equations Of State, Aarati Nandre
Comparing Initial Data For Binary Neutron Star Mergers With Different Equations Of State, Aarati Nandre
Theses
Binary neutron star (BNS) mergers are an important tool for studying nuclear matter at extreme densities inaccessible to laboratory experiments. The equation of state (EOS) of this nuclear matter affects the inspiral dynamics, remnant properties, and the resulting gravitational-wave signal, but remains only weakly constrained at supranuclear densities. The observation of GW170817 provided observational constraints on the EOS and established multimessenger astrophysics as a probe of dense matter. Simulating BNS mergers across a range of EOSs and comparing the resulting observables against detections helps narrowing this uncertainty further, and is the broader motivation for this thesis. General relativistic magnetohydrodynamic simulations …
Radiometric Dating And Isotope Analysis To Determine The Source And Timing Of Rare Earth Element-Bearing Fluid Mineralization At Hicks Dome, Hardin County, Illinois, Kristina M. Kohl
Theses
The Hicks Dome structure of Hardin County, Illinois, located within the Illinois-Kentucky Fluorspar District (IKFD), is one of the most perplexing geological features in the mid-continental U.S. Composed of uplifted Devonian strata intruded by a Ca-rich magma and ultramafic dikes, the dome is recognized as part of the Wauboukigou Igneous Province (WIP) and has been shown to host an abundance of rare earth element (REE) mineralization, particularly Dy, Y, and Sc. Despite extensive prior studies on REE concentrations and the link between fluorite mineralization in the IKFD and igneous activity at Hicks Dome, the absolute timing and relationship among REE …
Deep Analog: Open-Set Film Emulation With Reference-Conditioned 3d Luts, Yitong Mu
Deep Analog: Open-Set Film Emulation With Reference-Conditioned 3d Luts, Yitong Mu
Theses
Film emulation reproduces the look of an analog film stock on a new digital photograph. We target its open-set form—matching the look of any reference film frame from a single example—with a 3D lookup table (LUT) predicted from that reference. Real-time image enhancement has converged on one recipe for the color step: predict per-image weights over a fixed bank of 3D LUTs and blend them. We show this construction is a gated mixture of experts—specialist tables chosen per image by a learned gate—and it inherits the corresponding failure: trained end-to-end against reconstruction, the gate collapses onto a single expert, so …
Investigations Into The Structure-Property Relationships Of Magnetic Fe2mnsn And Gradient Copt Thin Films For Next-Generation Magnetic Technologies, Lance Griswold
Theses
e study of spin-based electronic phenomena, or spintronics, has become increasingly important in materials science and condensed matter physics due to its potentialto enable next-generation magnetic technologies, including advanced memory devices and quantum computing. Central to this field is the relationship between a material’s atomic structure and its physical properties, which requires precise control over synthesis conditions to achieve desired magnetic and electronic behavior. In this work, I investigate the structure–property relationships of several magnetic thin-film systems, each designed to address a specific technological challenge. All films were synthesized using magnetron co-sputtering from elemental magnetic and non-magnetic targets, either at …
Impacts Of Prescribed Burning And Midstory Thinning On The Abundance Of Eastern Whip-Poor-Will And Chuck-Will’S-Widow In Southern Illinois, Lauren Benedict
Impacts Of Prescribed Burning And Midstory Thinning On The Abundance Of Eastern Whip-Poor-Will And Chuck-Will’S-Widow In Southern Illinois, Lauren Benedict
Theses
The Chuck-will’s-widow (Antrostomus carolinensis) and Eastern Whip-poor-will (Antrostomus vociferus) are nightjar species that inhabit southern Illinois during the breeding season. Both species are thought to benefit from open woodlands which are often a result of natural disturbance or active forest management. However, due to a lack of significant disturbances and active management, this forest structure has become rare. Like many disturbance-dependent species, the Chuck-will’s-widow and Eastern Whip-poor-will have experienced range-wide declines over the past 50 years. Despite this, few studies have examined the impacts of forest management and the resulting forest structure on these species. We evaluated the impacts of …
Cross-Layer Security And Responsive Evaluation Architectures For Quantum Resistance In Connected Vehicles, Geoff Twardokus
Cross-Layer Security And Responsive Evaluation Architectures For Quantum Resistance In Connected Vehicles, Geoff Twardokus
Theses
Connected vehicle (CV) technologies are emerging as a crucial technology for improving safety on future roadways. Wireless vehicle-to-everything (V2X) communication allows CVs to exchange information that provides enhanced awareness and supports better driving decisions, especially in high-risk or non-line-of-sight scenarios. However, V2X also exposes new surfaces to physical layer attacks and increasingly sophisticated, potentially quantum-capable threat actors. As human or autonomous CV drivers will make split-second safety-critical decisions based on the contents of V2X messages, ensuring their authenticity, as well as their reliable and timely delivery, is crucial. Otherwise, malicious attackers may interfere with safety services or spoof messages to …
Analysis Of Gwtc-3 With Multiple Quasicircular Next-Generationwaveform Models, Noah M. Manning
Analysis Of Gwtc-3 With Multiple Quasicircular Next-Generationwaveform Models, Noah M. Manning
Theses
The interpretation of gravitational wave sources depends on the specific choice of model used to interpret signals. For example, previous analyses of GWTC-3 event candidates using the SEOBNRv4PHM, IMRPhenomXPHM, and NRSur7dq4 models have arrived at sometimes notably di!erent conclusions about event properties. Unfortunately, subtle analysis settings and code di!erences can also produce notable di!erences in event properties. Previous work on GWTC-3 has not yet used a consistent analysis framework to reassess all events with state-of- the-art models. In this work, we revisit GWTC-3, reassessing every event using three waveform models: two state-of-the-art models (SEOBNRv5PHM and IMRPhenomTPHM) and one older waveform …
Design And Verification Of A Reconfigurable Cryptographic Hardware Accelerator, Nicholas Merante
Design And Verification Of A Reconfigurable Cryptographic Hardware Accelerator, Nicholas Merante
Theses
Cryptographic operations are used throughout computing systems to protect data confidentiality and integrity. Although software implementations provide flexibility, dedicated hardware can offer more predictable execution time and reduce the processing burden placed on a general-purpose processor. This thesis presents the design and verification of a Reconfigurable Cryptographic Hardware Accelerator (RCHA) that integrates AES-128, ChaCha20, SHA-256, and BLAKE2s within a single Verilog/SystemVerilog design. A top-level interface shared by the four cores manages algorithm selection, inputs, outputs, status, protocol errors, cycle measurement, and known-answer self-tests. Verification combined primitive-level tests, integrated UVM regressions, randomized stimulus, directed coverage tests, and OpenSSL-based C++ reference models …
Asynchronous Methods For Reducing Dynamic Power In Sparse Systems, Braley Lachner
Asynchronous Methods For Reducing Dynamic Power In Sparse Systems, Braley Lachner
Theses
While a strong history of computer development has maximized architecture performance, modern computing is fundamentally constrained by thermal limits and power consumption. This is especially true in power sensitive edge applications, which often have low activity. Asynchronous architectures offer a pathway to take advantage of sparsity within hardware to drastically reduce dynamic power through fine-grain selective activation of only necessary hardware. Despite these advantages, the semiconductor industry relies heavily on Electronic Design Automation (EDA) toolchains, which have been developed with many synchronous assumptions. The traditional overhead and strict incompatibility with standard EDA toolchains have limited adoption of asynchronous technologies in …
Design Of A Continuum Robot Test Bed Utilizing Model-Free Sliding Mode Control, Joseph Paul Streib
Design Of A Continuum Robot Test Bed Utilizing Model-Free Sliding Mode Control, Joseph Paul Streib
Theses
Continuum robots are a class of continually deformable robots inspired by snakes and tentacles that are commonly used in medical, search and rescue, and exploration applications. The robots are highly nonlinear and difficult to accurately model and control. Precise control of the pose of a continuum robot is typically reliant upon a system model. This work introduces a novel model free control algorithm for continuum robots that only relies upon the robot’s position in task space. The derived controller is built upon the foundation of a preexisting model free sliding mode controller and the q-state parameterized piecewise constant curvature kinematic …
Poppies In Bloom: Gathering Galaxies From Jwst Parallel Fields, Anika Kumar
Poppies In Bloom: Gathering Galaxies From Jwst Parallel Fields, Anika Kumar
Theses
A major goal of extragalactic astrophysics is connecting the Big Bang to the present by under- standing the evolution of star formation (SF) across cosmic time. The correlation between SF and the stellar mass buildup in galaxies, or the star forming main sequence relation (SFMS), highlights the various mechanisms that drive galaxy evolution. Deviations like quiescent galaxies, which have ceased forming stars, and starburst galaxies, which undergo an exceptionally high rate of SF compared to their normal star formation histories (SFH), offer key clues to the catalysts of galaxy evolution (e.g., mergers, gas accretion, supernovae feedback). Our understanding of early …
Uvm Verification Of A 4-Stage Asynchronous Risc-V Processor, Yashaswini Suresha
Uvm Verification Of A 4-Stage Asynchronous Risc-V Processor, Yashaswini Suresha
Theses
Functional verification often takes more effort than designing the system itself, especially when the design departs from the synchronous, globally clocked style that verification tools assume. Asynchronous or clockless circuits are an example of this. They use local request and acknowledge handshaking instead of a global clock, which reduces dynamic power and eliminates clock-distribution and skew problems. However, this also means that standard verification methods that rely on a single periodic clock no longer apply. This thesis introduces a constrained-random, coverage-driven verification environment for a four-stage asynchronous RISC-V processor. The environment is built in SystemVerilog using the Universal Verification Methodology …
Characterizing Heavy Water Displacement In Molecular Sieve Drying Beds For Practical Trace Tritium Capture Methods, Brandon M. Massett
Characterizing Heavy Water Displacement In Molecular Sieve Drying Beds For Practical Trace Tritium Capture Methods, Brandon M. Massett
Theses
Tritium plays a crucial role in nuclear fusion power plant designs, and adsorption beds are essential tools for managing tritiated water vapor. A series of tests was performed to investigate whether a saturated adsorption bed preferentially adsorbs heavy water vapor. The design of passive tritium control systems could potentially rely on adsorption beds preferentially trapping heavier isotopologues of water. This work investigates the displacement phenomenon and the effects of carrier gas superficial velocity on bed performance. Significant displacement was observed when a humid stream containing heavy water was diverted through a bed pre-saturated with light water, as indicated by changes …