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.
Displaying 1 - 10 of 388
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- Creators: The Design School
- Creators: Electrical Engineering Program
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
This project considers the strengths and weaknesses of the three
case studies and expands on their notions. From the merchandising
tactics of Finland’s “One Way” pop-up shop, Toca-Boca x Target, and
modern-day toys to the essence of security and community established
in the Stalled! inclusive restroom movements, this flagship H&M
store reiterates these strengths.
H & M stands for inclusivity and impacting the world beyond fashion.
With such strong core values, there was an opportunity for H& M
stores to better reflect their beliefs. To elevate H&M’s brand further, a
flagship, inclusive retail environment was conceived.
case studies and expands on their notions. From the merchandising
tactics of Finland’s “One Way” pop-up shop, Toca-Boca x Target, and
modern-day toys to the essence of security and community established
in the Stalled! inclusive restroom movements, this flagship H&M
store reiterates these strengths.
H & M stands for inclusivity and impacting the world beyond fashion.
With such strong core values, there was an opportunity for H& M
stores to better reflect their beliefs. To elevate H&M’s brand further, a
flagship, inclusive retail environment was conceived.
ContributorsSmith, Ashleigh Marie (Author) / Vallerand, Olivier (Thesis director) / Jose, Bernardi (Committee member) / James, Bailey (Committee member) / The Design School (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
The City of Phoenix has historically been developed in an unsustainable way based on the way that autocentric cities have come to mature. By learning from a few European cities, Phoenix can focus on improving in a few key areas that will make the valley more walkable, enjoyable, and beautiful. This process of learning from other European cities can help developers, designers, and others in the development community to improve all of the valley’s different communities with a consistent plan of increasing urban density and ending outward sprawl while redefining the connective tissue that makes up Phoenix. This paper is meant to provide a set of example cities in order to pull specific recommendations and create a system of guidelines for all autocentric cities.
ContributorsCava, Daniel (Author) / Coseo, Paul (Thesis director) / Azevedo, Justin (Committee member) / The Design School (Contributor) / Department of Management and Entrepreneurship (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
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
Description
This creative project thesis involves electronic music composition and production, and it uses some elements of algorithmic music composition (through recurrent neural networks). Algorithmic composition techniques are used here as a tool in composing the pieces, but are not the main focus. Thematically, this project explores the analogy between artificial neural networks and neural activity in the brain. This project consists of three short pieces, each exploring these concept in different ways.
ContributorsKarpur, Ajay (Author) / Suzuki, Kotoka (Thesis director) / Ingalls, Todd (Committee member) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
In a world where tweets, texts, posts, likes and favorites are a part of our daily lives, it's hard not to believe everything we see. Every little detail of one's personal life is easily shared with the world with the click of a button. And because of this, the beauty standards that society has created is jumping from the pages of magazines and TV shows to apps such as Instagram and Facebook. The majority of social media users are young teens and adults, but the popularity of these apps is rising among kids as young as five years old as well. These are some of the most impressionable years of one's life. So, by seeing these standards that qualify someone as "beautiful," individuals are likely to strive toward these standards. And while some may seem impossible to attain, individuals are willing to go to extreme lengths to get there. Qualities like the "thigh gap" are slowly becoming more popular, and are putting individuals at risk. In a country where the ideal woman is skinny, and most of the celebrities and models showcase these nearly impossible standards, it's hard not to fall into the trap. With the addition of editing software and filters to already existing social media applications, the ability to edit and enhance photos is in the hands of the user. Photos can be edited so dramatically different from the original that what we're seeing doesn't even exist. This project explores the false reality that social media is creating and the negative effects it has on young girls and women. It also offers a solution to the problem.
ContributorsHenry, Lauren Nicole (Author) / Sanft, Alfred (Thesis director) / Heywood, William (Committee member) / School of International Letters and Cultures (Contributor) / The Design School (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Promoted by the city to increase land values and provide jobs in the barrios of South Phoenix, industry became a force of massive disturbance along Buckeye Road, interrupting the residential scale with large industrial lots, many of which have been abandoned. However, latent in the landscape are remnants of better times in the vibrant gestures of everyday urbanism.
Inspired by this palate of lively, idiosyncratic street designs—created out of necessity by people making-do—this project seeks to bring identity, value, and vitality to this challenging human environment.
This project uses concepts and processes of disturbance ecology and ecological succession, specifically the role played by pioneer species and biological legacies in the immediate aftermath of the eruption of Mount St. Helens, to develop an urban revitalization plan for Buckeye Road.
Inspired by this palate of lively, idiosyncratic street designs—created out of necessity by people making-do—this project seeks to bring identity, value, and vitality to this challenging human environment.
This project uses concepts and processes of disturbance ecology and ecological succession, specifically the role played by pioneer species and biological legacies in the immediate aftermath of the eruption of Mount St. Helens, to develop an urban revitalization plan for Buckeye Road.
ContributorsWhitesides, Ashley Nicole (Author) / Petrucci, Darren (Thesis director) / Hejduk, Renata (Committee member) / Fischer, Heidi (Committee member) / The Design School (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
"Many Faces" is the result of a year-long exploration of online harassment. It includes multiple graphic design projects which reference the phenomenon of online harassment and attempt to solve it (or at least contribute to a solution), all in different ways.
According to a survey performed by Pew Research in 2014, 40% of Internet users have experienced online harassment. 18% had experienced severe harassment – stalking, sexual harassment, physical threats – while 22% had only experienced less severe harassment, such as name-calling. Women ages 18–24 receive a disproportionately large percentage of all severe online harassment. The emotional trauma suffered from severe or long-term harassment can lead to (and has led to) fear, depression, and suicide in the worst cases.
The anonymity of the Internet partially enables online harassment, since it allows perpetrators to hide behind usernames or false images while they harass others — there is little accountability. However, 66% of online harassment happens on social media platforms, where people's names and images are usually readily available. This indicates that anonymity is not the only factor, and not even the main factor. Rather, the separation of the Internet from the physical world, that which makes it less "real," is what enables harassers to treat it as entirely different experience. They can say across a keyboard what they might never say face-to-face.
To increase my understanding of the problem, I made two three-dimensional pieces – a functioning clock and an exhibit wall. Each project explored different aspects of online harassment and implored the audience to keep compassion and kindness in mind while interacting with others digitally.
Another goal was to create a campaign which could tackle the problem on a larger, more definite scale. To learn from others' attempts, I studied two recent, real-world campaigns against online harassment, Zero Trollerance and HeartMob. Each of these received significant amounts of good press on online news outlets, but people who enjoyed or were helped by those campaigns were grossly outnumbered by those who criticized and even lambasted those campaigns, for various reasons.
I determined that the reactive nature of those campaigns was the main cause of their failure, so I created a proactive campaign with the goal of preventing online harassment, rather than correcting it. I designed the beginnings of "You & I," a multiplayer online game for children ages 4–6, which would encourage positive interaction between players through its very game mechanics. Ideally, the habits formed by the children while playing this game would carry over to their future Internet experiences, and a new generation of kinder, more cooperative, "native" Internet users would arise, reducing the amount of harassment seen on the Internet.
According to a survey performed by Pew Research in 2014, 40% of Internet users have experienced online harassment. 18% had experienced severe harassment – stalking, sexual harassment, physical threats – while 22% had only experienced less severe harassment, such as name-calling. Women ages 18–24 receive a disproportionately large percentage of all severe online harassment. The emotional trauma suffered from severe or long-term harassment can lead to (and has led to) fear, depression, and suicide in the worst cases.
The anonymity of the Internet partially enables online harassment, since it allows perpetrators to hide behind usernames or false images while they harass others — there is little accountability. However, 66% of online harassment happens on social media platforms, where people's names and images are usually readily available. This indicates that anonymity is not the only factor, and not even the main factor. Rather, the separation of the Internet from the physical world, that which makes it less "real," is what enables harassers to treat it as entirely different experience. They can say across a keyboard what they might never say face-to-face.
To increase my understanding of the problem, I made two three-dimensional pieces – a functioning clock and an exhibit wall. Each project explored different aspects of online harassment and implored the audience to keep compassion and kindness in mind while interacting with others digitally.
Another goal was to create a campaign which could tackle the problem on a larger, more definite scale. To learn from others' attempts, I studied two recent, real-world campaigns against online harassment, Zero Trollerance and HeartMob. Each of these received significant amounts of good press on online news outlets, but people who enjoyed or were helped by those campaigns were grossly outnumbered by those who criticized and even lambasted those campaigns, for various reasons.
I determined that the reactive nature of those campaigns was the main cause of their failure, so I created a proactive campaign with the goal of preventing online harassment, rather than correcting it. I designed the beginnings of "You & I," a multiplayer online game for children ages 4–6, which would encourage positive interaction between players through its very game mechanics. Ideally, the habits formed by the children while playing this game would carry over to their future Internet experiences, and a new generation of kinder, more cooperative, "native" Internet users would arise, reducing the amount of harassment seen on the Internet.
ContributorsWilliams, Peter Ross (Author) / Sanft, Alfred (Thesis director) / Heywood, William (Committee member) / The Design School (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05