Theses and Dissertations
This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students.
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Description
The purpose of this research is to explore Latina/o students' involvement at Arizona State University West and how it affects their sense of belonging, and thereby, their retention. I operationalize a "sense of belonging" as being able to express and feel comfortable with one's ethnic identity in the context of a higher education institution (Hurtado, 1997). I operationalize student involvement by the extent to which an individual student is devoted to their academic experience, invests time studying on campus, participates in student organizations, and interacts with faculty and their peers (Astin, 1984). I draw from Astin's theory of student involvement and Hurtado's sense of belonging as a base for this inquiry because they are critical components to understanding retention among the Latino/a community at Arizona State University West.
ContributorsGuerra, Luis D. (Author) / Cuadraz, Gloria (Thesis director) / Aska, Cassandra (Committee member) / School of Social and Behavioral Sciences (Contributor) / School of Humanities, Arts, and Cultural Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Breast microcalcifications are a potential indicator of cancerous tumors. Current visualization methods are either uncomfortable or impractical. Impedance measurement studies have been performed, but not in a clinical setting due to a low sensitivity and specificity. We are hoping to overcome this challenge with the development of a highly accurate impedance probe on a biopsy needle. With this technique, microcalcifications and the surrounding tissue could be differentiated in an efficient and comfortable manner than current techniques for biopsy procedures. We have developed and tested a functioning prototype for a biopsy needle using bioimpedance sensors to detect microcalcifications in the human body. In the final prototype a waveform generator sends a sin wave at a relatively low frequency(<1KHz) into the pre-amplifier, which both stabilizes and amplifies the signal. A modified howland bridge is then used to achieve a steady AC current through the electrodes. The voltage difference across the electrodes is then used to calculate the impedance being experienced between the electrodes. In our testing, the microcalcifications we are looking for have a noticeably higher impedance than the surrounding breast tissue, this spike in impedance is used to signal the presence of the calcifications, which are then sampled for examination by radiology.
ContributorsWen, Robert Bobby (Co-author) / Grula, Adam (Co-author) / Vergara, Marvin (Co-author) / Ramkumar, Shreya (Co-author) / Kozicki, Michael (Thesis director) / Ranjani, Kumaran (Committee member) / School of Molecular Sciences (Contributor) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
In today’s economy, advertisers understand that sex sells. The foundations of this concept, however, are influenced by patriarchal expectations that women are first and foremost sexual objects for men. Women are sold beauty and demeanor expectations for them to utilize when making themselves attractive for men and men are sold the idea of beautiful, docile women. This dynamic perpetuates strict definitions of acceptable gender displays and reinforces socially permitted gendered behavior. As a society in the 21st century, we understand the damage of sexist ideals, but where we fall short is in the monitoring of channels that perpetuate and maintain those stereotypes and how affected the public really is by the male gaze, and lack of a female gaze, in media. In this paper, I search for a female gaze, but in doing so recognize the inequalities inherent in yet another gendered practice of looking and instead steer the conversation towards personalized perspectives informed by an understanding of the dominant practice of looking and its inverse.
The primary perspective from which people are depicted in media today is shaped by the male gaze. The male gaze is comprised of patriarchal ideals and relies on the understanding that the spectator or viewer is a standard human being, which heteronormativity tells us is a man. From this perspective, the scope of visual representations of men and women in media has been molded after the hierarchized gender displays within which masculinity has primacy over femininity. By presenting a limited spectrum of behavior acceptable for men and women, the media hegemonically manipulates the social constructs of gender and gendered behavior across all levels of society.
This honors thesis applies semiotic and feminist methodologies to engage visual forms of media through art, film, and social media to challenge the social constructs of gender perpetuated and reinforced by dated stereotypes of gender and gendered behavior. First, the theoretical foundation will provide a framework for semiotic and feminist analysis of visual representations of gender in media. Then, I will present data representing the real-world impact that this social construction of gender has on adolescents in America using The State of Gender Equality for U.S. Adolescents, published by Plan International Inc. I will then bring together the explicated methodologies and evidential data alongside my own experiences as a female consumer of visual media to reveal alternative practices of looking that do not revolve around patriarchal norms, looking for a female gaze. In doing so, I hope to present recourse in the face of persistent use of sexist imagery across all levels of our culture and every medium of visual self-expression by providing tools that can be used to interrogate gendered perceptions and inform self-examination in pursuit of a feminist practice of looking.
The primary perspective from which people are depicted in media today is shaped by the male gaze. The male gaze is comprised of patriarchal ideals and relies on the understanding that the spectator or viewer is a standard human being, which heteronormativity tells us is a man. From this perspective, the scope of visual representations of men and women in media has been molded after the hierarchized gender displays within which masculinity has primacy over femininity. By presenting a limited spectrum of behavior acceptable for men and women, the media hegemonically manipulates the social constructs of gender and gendered behavior across all levels of society.
This honors thesis applies semiotic and feminist methodologies to engage visual forms of media through art, film, and social media to challenge the social constructs of gender perpetuated and reinforced by dated stereotypes of gender and gendered behavior. First, the theoretical foundation will provide a framework for semiotic and feminist analysis of visual representations of gender in media. Then, I will present data representing the real-world impact that this social construction of gender has on adolescents in America using The State of Gender Equality for U.S. Adolescents, published by Plan International Inc. I will then bring together the explicated methodologies and evidential data alongside my own experiences as a female consumer of visual media to reveal alternative practices of looking that do not revolve around patriarchal norms, looking for a female gaze. In doing so, I hope to present recourse in the face of persistent use of sexist imagery across all levels of our culture and every medium of visual self-expression by providing tools that can be used to interrogate gendered perceptions and inform self-examination in pursuit of a feminist practice of looking.
ContributorsPreston, Phoebe Jane (Author) / Gaffney, Cynthia (Thesis director) / Kirsch, Sharon (Committee member) / School of Humanities, Arts, and Cultural Studies (Contributor) / School of Social and Behavioral Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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
The purpose of this project is to raise awareness for children with social anxiety. As a book directed to children around the age of 12, it will give them a character they can relate to, so they can feel less alone. Throughout the story, the main character experiences symptoms of social anxiety and is subject to events that exacerbate those symptoms. Despite her challenges, the main character is able to effectively cope with her social anxiety through her own hard work, and help from her family members, teachers, and peers. The intent is to show children with social anxiety that, contrary to what their disorder makes them feel, they are special and have the capacity to develop skills that are relevant to their talents and interests, and overcome their fears. They should know that parents, teachers, and peers will be there to help and support them and will not judge them as harshly as they suspect. The supporting characters in this story show how a strong support base can influence the success of children with social anxiety. By the end of the story, the main character still has social anxiety, but has gained confidence and her symptoms are less severe. This illustrates that, although social anxiety cannot simply be overcome—that is, it doesn’t go away completely—it can be effectively managed with assistance from close others, and perseverance.
ContributorsDillard, Bethlehem (Author) / Lewis, Stephen (Thesis director) / Gaffney, Cynthia (Committee member) / School of Social and Behavioral Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
As climate change and air pollution continue to plague the world today, committed citizens are doing their part to minimize their environmental impact. However, financial limitations have hindered a majority of individuals from adopting clean, renewable energy such as rooftop photovoltaic solar systems. England Sustainability Consulting plans to reverse this limitation and increase affordability for residents across Northern California to install solar panel systems for their energy needs. The purpose of this proposal is to showcase a new approach to procuring solar panel system components while offering the same products needed by each customer. We will examine market data to further prove the feasibility of this business approach while remaining profitable and spread our company's vision across all of Northern California.
ContributorsEngland, Kaysey (Author) / Dooley, Kevin (Thesis director) / Keahey, Jennifer (Committee member) / Department of Supply Chain Management (Contributor) / School of Social and Behavioral Sciences (Contributor) / W.P. Carey School of Business (Contributor) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
It is no secret that humans at some point in their lives will endure some sort of immense pain or suffering that continues, making life difficult to live in such a way. The question then becomes how a sufferer goes about dealing with their distress and whether or not they choose to deal with it or continue to live a life that is detrimental to them. This is a topic in which I will discuss in the terms of modern day psychology and how people who suffer from psychological disorders can embrace a new path to recovery through words and being able to rewrite their stories. Throughout this thesis, I shall argue, with the assistance of various philosophic works, that everyone is born into a story and responsibility lies within a person either to continue with a story to which they have become accustomed or choose to embark on a new journey all together. When the decision is rendered to rewrite the path one has taken, it is essential to look at what is driving the story or the goals one has been pursuing. The person suffering can then go to treatment based upon the exchange of words between them and their psychoanalyst in hopes of regaining a sense of responsibility in their lives.
ContributorsWilson, Bailey Rachelle (Author) / Ramsey, Ramsey Eric (Thesis director) / Piemonte, Nicole (Committee member) / School of Social and Behavioral Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
People often rely on experts' opinions and knowledge to inform their own decisions. This can be problematic, as expertise does not necessarily protect one from bias, and increased experience does not always increase an experts' accuracy (Cassidy & Buede, 2009; Goldberg, 1968; Molins et al., 2008). The nature of task characteristics of expert domains is associated with experts' performance (Shanteau 1992). The purpose of this thesis is to examine how people perceive experts in different disciplines, and to explore the factors that affect perceptions of expert objectivity. Perceptions of objectivity in 26 expert domains were examined. As hypothesized, higher ratings of clear and immediate feedback available to experts were associated with higher ratings of objectivity. However, other indicators of higher domain validity were not recognized by laypeople, such as higher levels of training and education. Contrary to our hypotheses, higher levels of familiarity with experts in a given domain and more experiences of disagreement with experts in a given domain were not associated with perceptions of objectivity. These results suggest that laypeople can correctly identify some indicators of the validity of different expert domains, but they cannot identify others. These perceptions affect how objectivity is perceived.
ContributorsVelez, Rebecca Ellen (Author) / Neal, Tess (Thesis director) / Salerno, Jessica (Committee member) / School of Social and Behavioral Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
Buck converters are a class of switched-mode power converters often used to step down DC input voltages to a lower DC output voltage. These converters naturally produce a current and voltage ripple at their output due to their switching action. Traditional methods of reducing this ripple have involved adding large discrete inductors and capacitors to filter the ripple, but large discrete components cannot be integrated onto chips. As an alternative to using passive filtering components, this project investigates the use of active ripple cancellation to reduce the peak output ripple. Hysteretic controlled buck converters were chosen for their simplicity of design and fast transient response. The proposed cancellation circuits sense the output ripple of the buck converter and inject an equal ripple exactly out of phase with the sensed ripple. Both current-mode and voltage-mode feedback loops are simulated, and the effectiveness of each cancellation circuit is examined. Results show that integrated active ripple cancellation circuits offer a promising substitute for large discrete filters.
ContributorsWang, Ziyan (Author) / Bakkaloglu, Bertan (Thesis director) / Kitchen, Jennifer (Committee member) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12