2,404 Works

Active Stabilization of a Floating Wind Turbine Platform; Society’s Role in Wheelchair Technology and Accessibility

Daniel Dereberry
As a student in the STS 4500 course during this past summer session, I was tasked with creating my own proposed technical and STS report. I proposed new technical development of a supportive joint mechanism for people with physical disabilities which necessitate wheelchair usage, and STS research into the intertwining of wheelchairs with society. Following this, my technical project was changed to the development of an active mechanism for the stabilization of offshore wind turbine...

Evaluating the development of Internet industries between the United States and China

Tiancheng Ren
My technical project and STS research paper are both working on the development of Internet industries to help make a better world. My technical work involves the integration of an innovative online testing system, which mainly includes test subsystem and question bank subsystem to help solve the problem of inconsistent examination system during the current epidemic. My STS research compares and analyzes the development of China and the United States on the Internet industries and...

Database Comparison Service;What are the ethical and societal consequences of digital voting for democratic elections?

Ram Karri
My Technical Project was focused on database management software I created at my summer internship. My STS Research Paper on the other hand was about determining whether digital voting was worth implementing in our countries voting system. It would be a stretch to say that my STS paper and technical paper were related, other than maybe the fact that digital voting will have to use some type of database to store peoples’ votes. Nonetheless, I...

Statements in Brick and Timber: The Eighteenth-Century Middling Planter Housing of Accomack County, Virginia

Edward Barnes
Historians of eighteenth-century Virginia and its architecture have long argued that houses were a material manifestation of their owners’ wealth and position in society. Treating houses as representations of planter wealth and status has allowed architectural historians to identify and categorize eighteenth-century Virginia houses as products of particular classes of planters according to house size, form, materials, and finishes. But our understanding of class-based developments in Virginia’s eighteenth-century housing has suffered from the predominance of...

SpellCheck: A Spelling Practice Device; Special Considerations for the Mass Adoption of Brain-Computer Interfaces

Catlinh Nguyen
Introduction While my STS research and technical research are not directly related, both topics draw on the concept of using technology to aid human learning. My STS research focused on the success and adoption of Brain-Computer Interface (BCI) technology, as well as the major societal and ethical concerns that arise with the emergence of BCI’s. My technical capstone research involves designing, implementing, and testing a tool to help elementary school students learn and spell words...

Chiral Analysis by Chiral Tag Rotational Spectroscopy

Kevin Mayer
Chiral compounds are of immense importance for medicinal research and pharmaceutical manufacturing. A complete chiral analysis would quantify all stereoisomers of a molecule which scales by 2N, where N is the number of chiral centers. There are 2N-1 diastereomers and for each diastereomer there is an enantiomer. Furthermore, the analysis would allow for quantification of the enantiomeric excess, EE, of each component. This dissertation presents the ability of chiral tag rotational spectroscopy for chiral analysis....

Thermal Analysis of High Altitude Ballooning Payloads

Paul Hughes
Balloon-borne telescopes have the potential to produce almost space telescope quality data, because stratospheric balloons float above 99% of the atmosphere. The stratospheric environment poses unique and unsolved issues especially in the thermal stability of the optics. To inform the design of the future ”Testbed for High-Acuity Imaging - Stable Photometry and Image-Motion Compensation Experiment” balloon borne telescope, a team formed to improve thermal models for the stratosphere, especially by including convection. To accomplish such...

Examination of Planetary Systems with Kepler Data

Claire Teclaw
In this period of study we attempted to use data from the Kepler archive to deduce information about planetary systems observed by that mission. The ultimate goal was to potentially identify features of the planets in these systems by examining ellipsoidal variations in their light curves. For this purpose we attempted to, separately, apply PyKE utilities and create new code to search the mission’s fits files. We discovered potential issues with the PyKE code regarding...

Chemical Abundance Verifiction of Candidate Omega Centauri Tidal Debris Stars

Joy Skipper
The Omega Centauri star system has several peculiar features that set it apart from other Milky Way globular clusters, such as its large mass, extended size, oblate shape, internal rotation, large age and metallicity spreads, and retrograde orbit. Because of these properties it is thought that Omega Cen may instead be a heavily stripped remnant of a Milky Way-captured dwarf spheroidal galaxy , now currently orbiting (backwards) near the Galactic plane (e.g., Lee et al....

Parameter Estimation of Tidally-Deformed White Dwarf Binaries with LISA

Nick Anderson
The LISA mission, currently planned to launch in 2034, will introduce exceptional observation capabilities in the millihertz regime of the gravitational wave spectrum. Galactic compact binaries, including white dwarf binaries, are a primary science target of the mission. At least one well-established verification binary has been categorized as tidally deformed by electromagnetic observations. We investigate the capability of GW observations to measure the tidal effects, as well as other relevant parameters, in tidally deformed systems....

Measurement and Analysis of Obscured Luminous Active Galaxies

Sarah Hesler
Throughout the Fall 2018 and Spring 2019 semesters, I improved my skills in DS9 and IRAF programs by completing a number of tasks in the pursuit of further characterizing a series of high-redshift galaxies believed to be hosts to active galactic nuclei (AGN) as a part of my Tutorial course. These tasks include identifying a radio source in optical images by overlaying contours from the radio onto the optical, investigating several physical characteristics of the...

Building Computer-Aided Diagnostic Models for Biopsy Images Using Minimally Curated Datasets

Joseph Vincent Pulido
Convolutional neural networks (CNNs) perform well on many biopsy datasets and show promising signs of becoming part of the process to augment physicians' workflow to diagnose diseases. Training these medical models typically involves the tedious task of curating large-scale medical datasets which involves activities like collecting, storing, and annotating data. In general, these data curation tasks are usually the most time consuming and resource intensive portion of the model development processes. This cost is exacerbated...

Controlling Diffusion on Multi-Pathway Spatial Networks: Application to Biological Invasions

Manisha Sudhir
An important challenge in agriculture and food security is the control of invasive alien species (IAS) spread that affect important agricultural crops. However, optimal control of such epidemics is a challenging problem. In this thesis, we consider the problem of controlling a multi-pathway epidemiological process on a temporal network. Our focus is on the problem of group-scale interventions, where the objective is to find an optimal set of regions (or groups of nodes) to intervene...

Learning Local Representations of Images and Text

Fuwen Tan
Images and text inherently exhibit hierarchical structures, e.g. scenes built from objects, sentences built from words. In many computer vision and natural language processing tasks, learning accurate prediction models requires analyzing the correlation of the local primitives of both the input and output data. In this thesis, we develop techniques for learning local representations of images and text and demonstrate their effectiveness on visual recognition, retrieval, and synthesis. In particular, the thesis includes three primary...

Incorporating Auto Accessibility into Statewide Project Prioritization: Feasibility, Behavior, and Equity

Richard Atta Boateng
While accessibility, the number of time-decayed jobs available to each zone within a region, has frequently been proposed as an element in transportation project prioritization, widespread adoption of accessibility has been hindered by two obstacles: computational feasibility in a semi-open source manner and longitudinal transparency. Surmounting the former through computational steps such as automation of turn restrictions, error checking for incorrectly formed GIS-based service areas, and accounting for random perturbations in the formation of such...

Deployed to Congress: How Military Experience Influences Legislative Behavior

Joseph Amoroso
Motivated by a campaign narrative common among military veterans running for elective office, this thesis explores how particular values emphasized in the military map onto measurable legislative behavior in Congress. I theorize that veterans adopt a distinct approach to lawmaking, engaging in activities that prioritize productivity and building consensus. This theory speaks to a member’s overall legislative strategy thus, I test the narrative using a composite measure of “legislative style” (Bernhard and Sulkin 2018). In...

Disentangling Representations in Pre-Trained Language Models

Aniruddha Mahesh Dave
Pre-trained language models dominate modern natural language processing. They rely on self-supervision to learn general-purpose representations. Given the redundant information encoded in these representations, it is unclear what information encoded leads to superior performance on various tasks and whether it can be even better if it is encoded in an interpretable way. In this work, with stylistic datasets, we explore whether style and content can be disentangled from sentence representations learned by pre-trained language models....

Real-time Epidemic Surveillance Management for Supporting COVID-19 Response Workflows

Akhil Sai Peddireddy
The COVID-19 outbreak caused by SARS-CoV-2 has disrupted the lives of people globally. It has had a huge impact on health, economies, and society in general, undoubtedly making it the pandemic of the century. As of April 1, 2021, the cumulative number of confirmed COVID-19 cases exceeded 130 million worldwide, with almost 2.85 million deaths. Global Surveillance is one of the important tools of epidemiological response to allow the public to be informed of the...

\"Oh, say can you see the tender color of remembered flesh?\": Patterns of Desire in F. Scott Fitzgerald's Tender Is the Night

Catherine Walshak
Fitzgerald’s body of work—which includes four novels, an unfinished novel, and more than 150 short stories—reads as one lifelong meditation on human desire, and Tender Is the Night (1934), his final published novel, remains his most ambitious attempt to represent romantic desire in all of its anguish and bliss. For Scott Fitzgerald, lover of Keats, romantic desire is sexual desire aestheticized, so that Tender Is the Night—his most “romantic” book—is also his most sexual. With...

Improving Impact Evaluations with Low-Cost, Automated, and Scalable Tools for Implementation Research

Kylie Anglin
This dissertation develops low-cost, automated, and scalable solutions for a key challenge in educational evaluations: monitoring and assessing program implementation. In order for program evaluations to be of most use to policymakers and practitioners, they not only need to answer questions regarding effectiveness, but also implementation. How was the program implemented? Was it implemented as its designers intended? Or was it adapted to local needs and constraints? Unfortunately, evaluators often face intense logistical, budgetary, and...

Applications of Chromatic Fixed Point Theory

Christopher Lloyd
From its inception the primary concern of algebraic topology has been using algebraic techniques to construct invariants of topological spaces. This pursuit has led to the creation of many important cross-disciplinary tools. One such modern tool is the equivariant Balmer spectrum associated to a finite group G. This object, which lives in the intersection of algebraic geometry and algebraic topology, encodes information about the equivariant stable homotopy category in a systematic yet abstract way. This...

Compositional Cyber-Physical Systems Theory

Georgios Bakirtzis
A major impedance to engineering safe and secure cyber-physical systems is the lack of formal relationships between different types of models necessary for design. These various models are necessary because of the coupled physical and computational dynamics present in cyber-physical systems as well as the different properties system designers want to assure about a system. Each of the individual models has a set of rules describing what operations are allowed and which are not, including...

Narrative and Ethics in Tibet: The Ethical Cosmology of Female Revenants

Fnu Kamaoji
This dissertation investigates the biographies of the seventeenth-century Tibetan delok (revenant) Karma Wangzin as a case study in the analysis of delok genre literature, Buddhist cosmology and ethical beliefs, perceptions on death and the dying process, gender roles, rituals, practices, and the Buddhist societies embedded within these narratives. Building upon recent scholarship on Tibetan Buddhist narrative literature, this study explores these areas by examining the embedded cultural knowledge latent in primary source manuscripts, contemporary scholarly...

Environmental Sonic Translation

Christopher Luna
Environmental Sonic Translation offers a collection of compositional techniques drawing on detailed analyses of environment-derived soundscapes, which can be found in geological, biological, and anthropogenic sources. It relies on audio technology to collect sounds, analyze their spectra and reassign their features to musical instruments. This research is situated within the fields of Ecoacoustics/Acoustic Ecology, Spectralism, and musique concrète, building a framework that responds to the aesthetic, conceptual and technical principles of environmental sonic translation. The...

Towards Improving Adversarial Robustness of NLP Models

Jin Yong Yoo
Adversarial training has been extensively studied as a way to improve model's adversarial robustness in computer vision. On the other hand, little attention has been paid in NLP as to how adversarial training affects model's robustness. Within NLP, there exists a significant disconnect between recent works on adversarial training and recent works on adversarial attacks as most recent works on adversarial training have studied it as a means of improving the model's generalization capability instead...

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  • University of Virginia
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