Barrett, The Honors College Thesis/Creative Project Collection
Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.
Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.
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- All Subjects: creative writing
Leveraging Machine Learning and Wireless Sensing for Robot Localization - Location Variance Analysis
Description
Object localization is used to determine the location of a device, an important aspect of applications ranging from autonomous driving to augmented reality. Commonly-used localization techniques include global positioning systems (GPS), simultaneous localization and mapping (SLAM), and positional tracking, but all of these methodologies have drawbacks, especially in high traffic indoor or urban environments. Using recent improvements in the field of machine learning, this project proposes a new method of localization using networks with several wireless transceivers and implemented without heavy computational loads or high costs. This project aims to build a proof-of-concept prototype and demonstrate that the proposed technique is feasible and accurate.
Modern communication networks heavily depend upon an estimate of the communication channel, which represents the distortions that a transmitted signal takes as it moves towards a receiver. A channel can become quite complicated due to signal reflections, delays, and other undesirable effects and, as a result, varies significantly with each different location. This localization system seeks to take advantage of this distinctness by feeding channel information into a machine learning algorithm, which will be trained to associate channels with their respective locations. A device in need of localization would then only need to calculate a channel estimate and pose it to this algorithm to obtain its location.
As an additional step, the effect of location noise is investigated in this report. Once the localization system described above demonstrates promising results, the team demonstrates that the system is robust to noise on its location labels. In doing so, the team demonstrates that this system could be implemented in a continued learning environment, in which some user agents report their estimated (noisy) location over a wireless communication network, such that the model can be implemented in an environment without extensive data collection prior to release.
Modern communication networks heavily depend upon an estimate of the communication channel, which represents the distortions that a transmitted signal takes as it moves towards a receiver. A channel can become quite complicated due to signal reflections, delays, and other undesirable effects and, as a result, varies significantly with each different location. This localization system seeks to take advantage of this distinctness by feeding channel information into a machine learning algorithm, which will be trained to associate channels with their respective locations. A device in need of localization would then only need to calculate a channel estimate and pose it to this algorithm to obtain its location.
As an additional step, the effect of location noise is investigated in this report. Once the localization system described above demonstrates promising results, the team demonstrates that the system is robust to noise on its location labels. In doing so, the team demonstrates that this system could be implemented in a continued learning environment, in which some user agents report their estimated (noisy) location over a wireless communication network, such that the model can be implemented in an environment without extensive data collection prior to release.
ContributorsChang, Roger (Co-author) / Kann, Trevor (Co-author) / Alkhateeb, Ahmed (Thesis director) / Bliss, Daniel (Committee member) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
At present, the vast majority of human subjects with neurological disease are still diagnosed through in-person assessments and qualitative analysis of patient data. In this paper, we propose to use Topological Data Analysis (TDA) together with machine learning tools to automate the process of Parkinson’s disease classification and severity assessment. An automated, stable, and accurate method to evaluate Parkinson’s would be significant in streamlining diagnoses of patients and providing families more time for corrective measures. We propose a methodology which incorporates TDA into analyzing Parkinson’s disease postural shifts data through the representation of persistence images. Studying the topology of a system has proven to be invariant to small changes in data and has been shown to perform well in discrimination tasks. The contributions of the paper are twofold. We propose a method to 1) classify healthy patients from those afflicted by disease and 2) diagnose the severity of disease. We explore the use of the proposed method in an application involving a Parkinson’s disease dataset comprised of healthy-elderly, healthy-young and Parkinson’s disease patients.
ContributorsRahman, Farhan Nadir (Co-author) / Nawar, Afra (Co-author) / Turaga, Pavan (Thesis director) / Krishnamurthi, Narayanan (Committee member) / Electrical Engineering Program (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
In this project, the use of deep neural networks for the process of selecting actions to execute within an environment to achieve a goal is explored. Scenarios like this are common in crafting based games such as Terraria or Minecraft. Goals in these environments have recursive sub-goal dependencies which form a dependency tree. An agent operating within these environments have access to low amounts of data about the environment before interacting with it, so it is crucial that this agent is able to effectively utilize a tree of dependencies and its environmental surroundings to make judgements about which sub-goals are most efficient to pursue at any point in time. A successful agent aims to minimizes cost when completing a given goal. A deep neural network in combination with Q-learning techniques was employed to act as the agent in this environment. This agent consistently performed better than agents using alternate models (models that used dependency tree heuristics or human-like approaches to make sub-goal oriented choices), with an average performance advantage of 33.86% (with a standard deviation of 14.69%) over the best alternate agent. This shows that machine learning techniques can be consistently employed to make goal-oriented choices within an environment with recursive sub-goal dependencies and low amounts of pre-known information.
ContributorsKoleber, Derek (Author) / Acuna, Ruben (Thesis director) / Bansal, Ajay (Committee member) / W.P. Carey School of Business (Contributor) / Software Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
There has been a recent push for queer fiction, especially in the young adult genre, whose focus is gay and lesbian relationships. This growth is much needed in terms of visibility and the furthering of acceptance, but there are still subjects within the LGBTQ+ community that need to be addressed, including bisexual, asexual, and non-binary erasure. There are many people who claim that these identities do not exist, are labels used as a stepping stone on one's journey to discovering that they are homosexual, or are invented excuses for overtly promiscuous or prudish behavior. The existence of negative stereotypes, particularly those of non-binary individuals, is largely due to a lack of visibility and respectful representation within media and popular culture. However, there is still a dearth of non-binary content in popular literature outside of young adult fiction. Can You See Me? aims to fill the gap in bisexual, asexual, and non-binary representation in adult literature. Each of the four stories that make up this collection deals with an aspect of gender and/or sexuality that has been erased, ignored, or denied visibility in American popular culture. The first story, "We'll Grow Lemon Trees," examines bisexual erasure through the lens of sociolinguistics. A bisexual Romanian woman emigrates to Los Angeles in 1989 and must navigate a new culture, learn new languages, and try to move on from her past life under a dictatorship where speaking up could mean imprisonment or death. The second story "Up, Down, All Around," is about a young genderqueer child and their parents dealing with microaggressions, examining gender norms, and exploring personal identity through imaginary scenarios, each involving an encounter with an unknown entity and a colander. The third story, "Aces High," follows two asexual characters from the day they're born to when they are 28 years old, as they find themselves in pop culture. The two endure identity crises, gender discrimination, erasure, individual obsessions, and prejudice as they learn to accept themselves and embrace who they are. In the fourth and final story, "Mile Marker 72," a gay Mexican man must hide in plain sight as he deals with the death of his partner and coming out to his best friend, whose brother is his partner's murderer.
ContributorsOchser, Jordyn M. (Author) / Bell, Matt (Thesis director) / Free, Melissa (Committee member) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This thesis dives into the world of artificial intelligence by exploring the functionality of a single layer artificial neural network through a simple housing price classification example while simultaneously considering its impact from a data management perspective on both the software and hardware level. To begin this study, the universally accepted model of an artificial neuron is broken down into its key components and then analyzed for functionality by relating back to its biological counterpart. The role of a neuron is then described in the context of a neural network, with equal emphasis placed on how it individually undergoes training and then for an entire network. Using the technique of supervised learning, the neural network is trained with three main factors for housing price classification, including its total number of rooms, bathrooms, and square footage. Once trained with most of the generated data set, it is tested for accuracy by introducing the remainder of the data-set and observing how closely its computed output for each set of inputs compares to the target value. From a programming perspective, the artificial neuron is implemented in C so that it would be more closely tied to the operating system and therefore make the collected profiler data more precise during the program's execution. The program is designed to break down each stage of the neuron's training process into distinct functions. In addition to utilizing more functional code, the struct data type is used as the underlying data structure for this project to not only represent the neuron but for implementing the neuron's training and test data. Once fully trained, the neuron's test results are then graphed to visually depict how well the neuron learned from its sample training set. Finally, the profiler data is analyzed to describe how the program operated from a data management perspective on the software and hardware level.
ContributorsRichards, Nicholas Giovanni (Author) / Miller, Phillip (Thesis director) / Meuth, Ryan (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
In an effort to combat the lack of diversity in Children's Literature, this project displays a piece of literature titled Stories & Stages: A Tale of Two Sisters, in the form of a children's chapter book for a middle grade audience. Focusing on characters of a Hispanic background without relying on stereotypes or false characterizations, the novel works to inspire young minds and reflect a true representation of the world children are living in. This is done using research on different aspects of Children's Literature, including: the definition of children's literature, diversity, girlhood, and sibling relationships. This research provides the basis for the project, as does personal experience and background. Following the novel is a recording of the background research involved and a documentations of the creative process. Keywords: Children's Literature, Diversity
ContributorsFlores, Abriana Lorraine (Author) / Elliott, Lisa (Thesis director) / Haddy, Lana (Committee member) / Division of Teacher Preparation (Contributor) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
The Way Home is a full-length young adult novel. The story is split between the perspectives of Theo and Ella, best friends from high school who are starting their freshman year in college. Neither is extremely excited about the start of the new phase of their lives; Theo struggles with severe anxiety and is just hoping to survive the four years; and dark memories in Ella's past don't seem to want to let her start over. A series of murders happening in town don't help their nerves at all, making it hard to focus on the "college experience." They were supposed to be there for each other... But then Ella goes missing, and Theo is left without a clue of where she went. While he searches for her desperately, she wakes up miles away from home, surrounded by strangers. In their efforts to find one another again, they instead find themselves presented with opportunities to study the impossible: magic. Things become stranger and stranger as murders, magic, police investigations, and ever-looming final exams begin to challenge Theo and Ella in ways they never expected. In writing this novel, I hoped to depict the transition from high school to college and the worries and wonders that come with it. The story is almost split directly in half, beginning with normal school life and shifting into the world of magic. The conflicts presented to the characters during the first half, such as grades, majors, and socializing, persist throughout the second half, but are also metaphorized once the characters begin studying magic. I chose to include a protagonist with an anxiety disorder because I believe mental disabilities are not represented enough in YA literature, though it is something that many high school and college students deal with. I wanted to create a character that could inform others and that students with similar mental disorders could relate to. Additional themes I deal with include newfound independence, individuality, growth, and friendship.
ContributorsWoner, Catherine Flynn (Author) / Blasingame, James (Thesis director) / Irish, Jennifer (Committee member) / Department of English (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
Sigmund Freud's psychoanalytic theory proposes that the personality has three components, the id, superego, and ego. The id is concerned with pleasure and gain, the reason it is often identified as a human's animalistic side. Additionally, the id does not consider social rules as closely and is the uncensored portion of the personality. The superego is the id's opposite; the superego considers social expectations and pressures immensely, is more self-critical and moralizing. The ego mediates the id and superego, and is understood as the realistic expression of personality which considers both the "animal" and human. A Fractured Whole: A Collection of Short Stories, explores Freud's construction of human personality in both form and content. Within the collection are three sections, each with a different pair of characters. Within each section, the same scene is written in the three "modes" of the id, superego, and ego, as three separate stories. The fifteen stories comprising this collection address the substance of daily life: sexuality, body image, competition, among other topics, to consider how a single person can balance the desires for personal pleasure and to satisfy social expectations. Writing the same scene in three "modes" allows for the observation of how the characters attitudes and actions alter under the influence of different parts of their personalities.
ContributorsOtte, Aneka (Author) / Sturges, Robert (Thesis director) / Bryant, Jason (Committee member) / School of Historical, Philosophical and Religious Studies (Contributor) / Department of English (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Each part of the book is written from a different relative, literarily-inclined perspective. The portion of this submission that captures what my experience as a Barrett student has lended to my approved manuscript (by Dorrance Publishing Co.) lies with the excerpted material from Part IV. Below is the table of contents for the novel work itself, as well as the styles of writing assumed per part.
ContributorsDampare, Patrick Nelu (Author) / Blasingame, James (Thesis director) / Glenn, Bruce (Committee member) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Prince Shendi is a novella set in the semi-fictional continent of Great Africa, specifically in a proud and prosperous region called Serengeti. Our story follows the thrilling adventure of Serengeti's king-to-be, the young and naive Shendi. When Kovalu, the mighty king of Serengeti and Shendi's father, passes away due to old age, Shendi is thrust into the gauntlet of responsibility in an early and unprepared state. After a short foray as the amateur king heavily assisted by the tenured members of Serengeti's Plain Council, Shendi encounters disaster that results in the death of an important council representative and the young king's temporary exile from Serengeti. The journey produced by his one hundred day exile takes Shendi through an arid wasteland, a teeming jungles, a mystic desert, and every terrain in between before his return. Along the way, Shendi unravels the details of a prophecy that means the end of the peaceful and prosperous life his lion kin and other Serengeti dwellers had known for centuries. This prophecy held him at the center of it as the catalyst and ultimately it would be up to Shendi and his actions to stop the ancient evil at work from killing all the lions of his pride and plunging all of Serengeti into a desolate and dismal state. Will Shendi overcome the primal evil looking to dominate the land of Great Africa forevermore? And if so, what will become of him afterwards? Prince Shendi was written over the course of 2015 and early 2016 by Lucas Revelle, a student at Arizona State University studying Exercise and Wellness as well as a student of Barrett, the Honors College. The story was directed, advised, and edited by Honors Fellow Dr. Aviva Dove-Viebahn along with help from the project's 2nd reader, Rebecca Viles.
ContributorsRevelle, Lucas Benjamin (Author) / Dove-Viebahn, Aviva (Thesis director) / Viles, Rebecca (Committee member) / School of Nutrition and Health Promotion (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05