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Description
This is an analysis of broad racial discourse through a critical race theory: Responsibility Avoidance Discourse (RAD). RAD is coded English that communicates meaning through connotation, avoidance, and implication as a means of securing its main purposes: enforcing white supremacy, obscuring inequality, and hindering significant racial progress. RAD is extremely effective at directing discussion away from arguments that might induce self-reflexivity or question white privilege. It focuses on discrediting others as a means of legitimizing whiteness. I analyze examples of it from a variety of sources—from political discourse to media coverage and social media trends—to demonstrate its manifestations throughout society.
ContributorsClarke, Ty Larson (Author) / Bebout, Lee (Thesis director) / Spanierman, Lisa (Committee member) / School of Social Transformation (Contributor) / W. P. Carey School of Business (Contributor) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Observations of four times ionized iron and nickel (Fe V & Ni V) in the G191-B2B white dwarf spectrum have been used to test for variations in the fine structure constant, α, in the presence of strong gravitational fields. The laboratory wavelengths for these ions were thought to be the cause of inconsistent conclusions regarding the
variation of α as observed through the white dwarf spectrum. This thesis presents 129 revised Fe V wavelengths (1200 Å to 1600 Å) and 161 revised Ni V wavelengths (1200 Å to 1400 Å) with uncertainties of approximately 3 mÅ. A systematic calibration error
is identified in the previous Ni V wavelengths and is corrected in this work. The evaluation of the fine structure variation is significantly improved with the results
found in this thesis.
variation of α as observed through the white dwarf spectrum. This thesis presents 129 revised Fe V wavelengths (1200 Å to 1600 Å) and 161 revised Ni V wavelengths (1200 Å to 1400 Å) with uncertainties of approximately 3 mÅ. A systematic calibration error
is identified in the previous Ni V wavelengths and is corrected in this work. The evaluation of the fine structure variation is significantly improved with the results
found in this thesis.
ContributorsWard, Jacob Wolfgang (Author) / Treacy, Michael (Thesis director) / Alarcon, Ricardo (Committee member) / Nave, Gillian (Committee member) / Department of Physics (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Preventive maintenance is a practice that has become popular in recent years, largely due to the increased dependency on electronics and other mechanical systems in modern technologies. The main idea of preventive maintenance is to take care of maintenance-type issues before they fully appear or cause disruption of processes and daily operations. One of the most important parts is being able to predict and foreshadow failures in the system, in order to make sure that those are fixed before they turn into large issues. One specific area where preventive maintenance is a very big part of daily activity is the automotive industry. Automobile owners are encouraged to take their cars in for maintenance on a routine schedule (based on mileage or time), or when their car signals that there is an issue (low oil levels for example). Although this level of maintenance is enough when people are in charge of cars, the rise of autonomous vehicles, specifically self-driving cars, changes that. Now instead of a human being able to look at a car and diagnose any issues, the car needs to be able to do this itself. The objective of this project was to create such a system. The Electronics Preventive Maintenance System is an internal system that is designed to meet all these criteria and more. The EPMS system is comprised of a central computer which monitors all major electronic components in an autonomous vehicle through the use of standard off-the-shelf sensors. The central computer compiles the sensor data, and is able to sort and analyze the readings. The filtered data is run through several mathematical models, each of which diagnoses issues in different parts of the vehicle. The data for each component in the vehicle is compared to pre-set operating conditions. These operating conditions are set in order to encompass all normal ranges of output. If the sensor data is outside the margins, the warning and deviation are recorded and a severity level is calculated. In addition to the individual focus, there's also a vehicle-wide model, which predicts how necessary maintenance is for the vehicle. All of these results are analyzed by a simple heuristic algorithm and a decision is made for the vehicle's health status, which is sent out to the Fleet Management System. This system allows for accurate, effortless monitoring of all parts of an autonomous vehicle as well as predictive modeling that allows the system to determine maintenance needs. With this system, human inspectors are no longer necessary for a fleet of autonomous vehicles. Instead, the Fleet Management System is able to oversee inspections, and the system operator is able to set parameters to decide when to send cars for maintenance. All the models used for the sensor and component analysis are tailored specifically to the vehicle. The models and operating margins are created using empirical data collected during normal testing operations. The system is modular and can be used in a variety of different vehicle platforms, including underwater autonomous vehicles and aerial vehicles.
ContributorsMian, Sami T. (Author) / Collofello, James (Thesis director) / Chen, Yinong (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
For my creative project, I began an art press that produces small-run vinyl records and artist's books. Initially, the venture began as a means to circumvent record pressing facilities as a vinyl record-cutting service. By the end of this project, the focus shifted to encompass more visual art products than just vinyl records. The project began with vinyl records because I saw a need in the market; in the past decade, the industry has grown dramatically, but the dozen record pressing plants in the country cannot keep up with the demand. Because record pressing companies prioritize large orders, it is difficult for many small bands and independent record labels to produce work on this medium. This is due to the long lead times, high prices, and large minimum order sizes. I located a man in Germany, who invented a machine that makes high-quality, lathe-cut records. I named the project Blushing Soup, as homage to my father, who passed during my first semester of college. It is through his passing that I was able to secure funds to pursue this venture. I brought on a partner, who was more familiar with art and audio recording than myself. In the summer of 2015, we met with this inventor to learn how to use his machine. By October of 2015, a machine of our own had arrived. In early November, Blushing Soup won a grant from the Scottsdale Museum of Contemporary Art. During this time, we released two vinyl records for local bands. For a culminating project, I coordinated a Record Store Day compilation album consisting of six bands featuring. After securing all of the music, the machine started having problems, which forced me to cancel this release. Recognizing the delicacy of the machine, prompted a shift in the aim of Blushing Soup. During this process, I started learning printmaking processes, and I realized that Blushing Soup could function as more than a record cutting service; we could be an art press. In the last few month of this project, I started making artist's books. By the end of April 2016, Blushing Soup will have released vinyl records for two bands, as well as produced four handmade books. This creative project centered around the process of creating art through lathe cutting and printmaking; the objective was not to maximize profits but rather refocus the consumption of art (in a sustainable practice).
ContributorsStringer, Shelby Manning (Author) / Essig, Linda (Thesis director) / Peck, Sidnee (Committee member) / School of Art (Contributor) / Department of English (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
What is known about the lives, and especially the private lives, of English women in the early modern era is not at all satisfactory in terms of sources, scope, or understanding. Because the act of writing and reading was already exclusive to the upper classes, what sources do survive are not representative of the majority of the female population, leading to more speculation on behalf of historians. The sources which do survive, by and large focus on the role of religion and spirituality in a woman's life, since it was the most acceptable reason for an early modern woman to be writing about. However, I hoped to prove how women were interested in more than just self-improvement through religious devotion, thereby demonstrating that early modern English women were as complex and rich in personality and interests as a modern woman might consider herself to be. After a brief introduction and explanation of the research process, this project then begins to individually analyze the three women who were chosen for study based on their mutual practice of keeping a diary during their lives in early modern England. These women were Elizabeth Freke, Lady Sarah Cowper, and Mary, Countess Cowper, all of whom operated within the feminine social hierarchy during this period, but each of whom demonstrated a particular interest beyond that of marriage and family, including economics, religion, and politics. I believe that each woman analyzed proved how unique and varied the lives of early modern English women were through their writings.
ContributorsVetterl, Victoria Lee (Author) / Warnicke, Retha (Thesis director) / Looser, Devoney (Committee member) / Department of English (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor) / School of Politics and Global Studies (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
"The Problem of Hope: Literary Tragedy in Mid-Twentieth Century American Fiction" examines Arthur Miller's Death of a Salesman, Ralph Ellison's Invisible Man, and Sylvia Plath's The Bell Jar through the lens of tragedy. This thesis delves into how conflicts between internal and external identities can create a tragic individual, what kinds of success count toward achievement of the "American Dream," and whether the tragic "common man" is the socially normative one or the socially disenfranchised one. It raises a three-dimensional theoretical approach to American tragedy and, most importantly, considers the significance of tragic hope for American literature. This paper questions the construction of American identities across class, race, and gender according to social scripts. It seeks to uncover what forces these scripts exert on American cultural myths and rereads those myths through tragedy to explore Miller's idea of a noble common man. By moving from Miller to Ellison to Plath, this thesis traces the undercurrents of tragedy through some of the most identity-focused novels of mid-twentieth century American fiction to see how the overarching American narrative changed from 1940 to 1969 as the US underwent significant social changes domestically and image changes abroad. Ultimately, this paper concludes that tragedy in mid-twentieth century American fiction points toward a new idea of American success as a success that occurs beyond social scripts.
ContributorsMedeiros, Amy Marie (Author) / Holbo, Christine (Thesis director) / Sadowski-Smith, Claudia (Committee member) / Department of English (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This project explores the promise and peril of networked self-portraits, focusing on comparisons between artists Andy Warhol and Cindy Sherman, celebrity and reality star Kim Kardashian, Democratic presidential candidate and former first lady Hillary Clinton, and artists Rafia Santana and Alexandra Marzella. I defined selfies as networked self-portraits using a front-facing camera. My introduction is more or less a literature review of photographic theory and art history texts, but all the significant themes brought up in that are relevant to the rest of my arguments. The arguments draw from feminist visual theory including Laura Mulvey, art history texts, as well as critical race theorists like Franz Fanon. While I chose four artists in my examination, I used them as a jumping off point to talk about how identity can be networked and what it means for small slices of life to be photographed and spread via social media. I decided to include feminist visual theory to inform my exploration of female bodies, especially how mediation sets up normative behaviors and representations. I used race theory to talk about visibility of people of color, especially in contrast to the white artists I talked about in my thesis. By way of Kardashian and Clinton, I explored the idea of celebrity and visual culture, as well as motherhood and what femininity could look like in the 21st century. I tend not to make any sweeping conclusions about the best way to network femininity using selfies, but rather explore the different challenges that women face when they place historically-policed bodies into what could be a digital utopia online.
ContributorsNorthfelt, Peter (Author) / Dove-Viebahn, Aviva (Thesis director) / Thornton, Leslie (Committee member) / Department of English (Contributor) / School of Public Affairs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Company X has developed RealSenseTM technology, a depth sensing camera that provides machines the ability to capture three-dimensional spaces along with motion within these spaces. The goal of RealSense was to give machines human-like senses, such as knowing how far away objects are and perceiving the surrounding environment. The key issue for Company X is how to commercialize RealSense's depth recognition capabilities. This thesis addresses the problem by examining which markets to address and how to monetize this technology. The first part of the analysis identified potential markets for RealSense. This was achieved by evaluating current markets that could benefit from the camera's gesture recognition, 3D scanning, and depth sensing abilities. After identifying seven industries where RealSense could add value, a model of the available, addressable, and obtainable market sizes was developed for each segment. Key competitors and market dynamics were used to estimate the portion of the market that Company X could capture. These models provided a forecast of the discounted gross profits that could be earned over the next five years. These forecasted gross profits, combined with an examination of the competitive landscape and synergistic opportunities, resulted in the selection of the three segments thought to be most profitable to Company X. These segments are smart home, consumer drones, and automotive. The final part of the analysis investigated entrance strategies. Company X's competitive advantages in each space were found by examining the competition, both for the RealSense camera in general and other technologies specific to each industry. Finally, ideas about ways to monetize RealSense were developed by exploring various revenue models and channels.
ContributorsDunn, Nicole (Co-author) / Boudreau, Thomas (Co-author) / Kinzy, Chris (Co-author) / Radigan, Thomas (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / WPC Graduate Programs (Contributor) / Department of Psychology (Contributor) / Department of Finance (Contributor) / School of Accountancy (Contributor) / Department of Economics (Contributor) / School of Mathematical and Statistical Science (Contributor) / W. P. Carey School of Business (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This paper presents work that was done to create a system capable of facial expression recognition (FER) using deep convolutional neural networks (CNNs) and test multiple configurations and methods. CNNs are able to extract powerful information about an image using multiple layers of generic feature detectors. The extracted information can be used to understand the image better through recognizing different features present within the image. Deep CNNs, however, require training sets that can be larger than a million pictures in order to fine tune their feature detectors. For the case of facial expression datasets, none of these large datasets are available. Due to this limited availability of data required to train a new CNN, the idea of using naïve domain adaptation is explored. Instead of creating and using a new CNN trained specifically to extract features related to FER, a previously trained CNN originally trained for another computer vision task is used. Work for this research involved creating a system that can run a CNN, can extract feature vectors from the CNN, and can classify these extracted features. Once this system was built, different aspects of the system were tested and tuned. These aspects include the pre-trained CNN that was used, the layer from which features were extracted, normalization used on input images, and training data for the classifier. Once properly tuned, the created system returned results more accurate than previous attempts on facial expression recognition. Based on these positive results, naïve domain adaptation is shown to successfully leverage advantages of deep CNNs for facial expression recognition.
ContributorsEusebio, Jose Miguel Ang (Author) / Panchanathan, Sethuraman (Thesis director) / McDaniel, Troy (Committee member) / Venkateswara, Hemanth (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Popular culture tends to downplay strong female characters to favor a plethora of male figures that children look up to as heroes. This creates a gender imbalance in exposure to inspirational characters that children can look up to as role models. For our team's creative project, we chose to write and illustrate a children's book mainly targeted at young girls, ages eight to twelve that focuses on the stories of selected female figures of Norse mythology. The five stories in our collection focus on the figures Frigg, Skadi, Elli, Idunn, and Freya and are inspired by the mythology contained in the Prose Edda by Snorri Sturluson and selected medieval texts on the Germanic Lombard tribe. Through our book, Women of Norse Myth: For Little Goddesses, we wanted to introduce children to Norse mythology, a branch of myth that is often overshadowed by more popular mythologies such as Roman and Greek. Additionally, our goal was to bring light to the female figures within Norse myth that are generally given less attention than their male counterparts. Keeping in mind these goals, the stories were adapted from the original myths in a manner that would be suitable for a young audience as well as our aim for female empowerment. The final manuscript contains an introduction to Norse cosmology, introductions to the figures, a glossary of Norse terms used, and the illustrated stories themselves. Together with our combined talents, interests, and goals, Women of Norse Myth: For Little Goddesses was completed, and we hope that someday it can be published and serve as a fun and inspiring storybook for children to read and learn from.
ContributorsFarine, Brittany (Co-author) / Muth, Margaret (Co-author) / Youngjohn, Trystan (Co-author) / Alexander, John (Thesis director) / Wells, Cornelia (Committee member) / Department of English (Contributor) / Department of Psychology (Contributor) / School of Human Evolution and Social Change (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05