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.
Displaying 1 - 10 of 265
Filtering by
- All Subjects: Machine Learning
- All Subjects: community
- All Subjects: Leadership
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
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
Although there are some key qualities that all good leaders employ, variations in effective leadership approaches are evident across different cultures. This project sought to compare and analyze the differences and similarities in leadership principles between Chinese and American business cultures, with emphasis on the divergence caused by the influences of history, culture and politics.
ContributorsLe Tourneur, Maxine Archondakis (Author) / McKinnon, David (Thesis director) / LePine, Marcie (Committee member) / Department of Supply Chain Management (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
Industry is changing. Businesses are plagued with problems of inefficiency, ineffectiveness, and waste. Many of these issues arise from some common mistakes within established management structures; these issues include lack of expertise in leadership positions, lack of unity across the organization, and imbalance within the business. Using Information Measurement Theory, the Kashiwagi Solution Model, and leadership theories, this thesis presents a simple approach to creating a business structure through explaining the basic tenets of a successful modern business. It was determined that the first and most important task of a business is to set realistic long-term goals for the organization. This thesis proposes that the basic needs of a successful business also includes having the right individuals, team formation, positive leadership, and the proper alignment of resources. It was found that it is best to hire individuals that exhibit some Type A characteristics because those individuals are likely to effectively carry out the goals of the business. Forming these individuals into small teams increases their processing speeds and encourages a balance of accountability, innovative solutions, and a network of learning. Furthermore, consistent, positive leadership that lives the company culture is a key element to successfully maintaining the business vision and maximizing associate effectiveness. It was also determined that aligning the organization to work towards the business vision can be performed through implementing a flat structure, placing individuals in roles that maximize effectiveness, and establishing the right business goals so that there is a consistent business vision at all levels of the organization. This thesis also provides guidance on how to implement these tenets in a simple, dominant way. Ultimately, the four proposed tenets working in unison towards business goals can lead to a successful and adaptable modern business.
ContributorsMeade, Payton Drew (Author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / Chemical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Based upon personal involvement from August 2010 to July 2014 as a Marine Option Midshipman within the ASU Naval Reserves Officer Training Corps (NROTC), being a student of leadership training within my degree plan, and gender difference research I conducted, this creative project addresses potential issues that reside within the ASU NROTC and the ways in which the program overall can be changed for the Marine Options in order to bring about proper success and organization. In order to officially become a Marine within the Unites States Marine Corps, it is necessary for Marine Option students to fulfill Officer Candidate School (OCS) at Quantico, Virginia. As the first female to go through OCS as a midshipman from the ASU NROTC, I found that there is an inadequate amount of preparation and training given in regards to the gender differences and what is to be expected for successful completion. I will offer a brief history regarding the NROTC across the Unites States and the ASU NROTC itself. These subjects will cover the program layouts as well as the leadership training that is required and provided within it and the ways in which this is conducted. I will then compare and contrast this to the leadership training given to me within my study of Leadership and Ethics regarding the transformational leadership, gender-based leadership, and coercive leadership. Finally, I end my thesis with a reflection of personal experiences taken away from these avenues and offer recommendations to better equip the ASU NROTC program in having successful retention and success of the female Marine Option midshipman.
ContributorsCamarena, Leonor Jimenez (Author) / Lucio, Joanna (Thesis director) / Warnicke, Margaretha (Committee member) / Barrett, The Honors College (Contributor) / School of Public Affairs (Contributor)
Created2014-12
Description
This research looks at a group of students from Tumaini Children's Home in Nyeri, Kenya. The purpose of this paper is to explore why this particular group of students is so academically successful. Quantitative research was taken from the average 2013 test scores of Tumaini students who took the Kenyan Certificate of Primary Education (KCPE) exam in comparison to the scores of students who are not residing in the orphanage. Qualitative research involves interviews from those students who live in Tumaini and interviews from adults who are closely connected to the orphanage. The purpose is to understand why the students are performing so well academically and what support they have created for themselves that allows them to do so.
ContributorsTooker, Amy Elizabeth (Author) / Puckett, Kathleen (Thesis director) / Cocchiarella, Martha (Committee member) / Barrett, The Honors College (Contributor) / Division of Teacher Preparation (Contributor)
Created2014-12
Description
Although the number of women earning college degrees and entering the workforce is increasing, a gender gap persists at top leadership positions. Women are faced with numerous challenges throughout the talent pipeline, challenges that often drive women out of the workforce. This paper looks at the power of mentoring and how women, particularly young women, have the potential to overcome these challenges through a successful mentoring relationship. We use examples of successful mentoring programs at the corporate and university level to support the development of a mentoring program at the high school level. Our paper presents the research and development process behind the Young Women in Leadership (YWiL) Workshop, a half-day event that focused on bringing awareness to the importance of mentoring and leadership at the high school level while providing young women with the confidence and knowledge to begin to establish their own mentoring relationships.
ContributorsRust, Brenna (Co-author) / Myers, Sheridan (Co-author) / Desch, Tim (Thesis director) / Kalika, Dale (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / School of Accountancy (Contributor) / T. Denny Sanford School of Social and Family Dynamics (Contributor) / WPC Graduate Programs (Contributor) / W. P. Carey School of Business (Contributor)
Created2015-05
Description
As the poverty level increases in Arizona, so does the opportunity gap between high- income and low-income students. We believe that all youth regardless of their zip code, the color of their skin, or their family background should see themselves as leaders and scholars in the community. Access to higher education, quite simply should be attainable for all students. The New American University charter that ASU has adopted is inspiring and groundbreaking. We believe this charter underscores the significance of equal access to education. The REACH program embraces the urgency of educational inequity, by enhancing the potential success of high school teenagers, who attend the Boys & Girls Club \u2014 Ladmo Branch in Tempe, Arizona. REACH empowers youth to develop stronger leadership skills, while becoming more involved in their community. We provide an opportunity for these teens to engage in leadership discussions, receive college mentoring/tutoring, and connect with the community and resources that Arizona State University (ASU) has to offer. It is our hope that every REACH teen is inspired to apply for college. REACH strives to provide any support the teens require to be successful throughout the college testing and admission process. REACH works with multiple communities at Arizona State University including the Pat Tillman Scholars, Devils' Advocates, Honors Devils, Changemaker Central, Barrett, The Honors College and W. P. Carey School of Business to organize and lead a group of teens through a remarkable curriculum that will shape the way they view cultural diversity, educational achievement, and leadership. The weekly meetings consist of discussions, creative team-building, critical thinking exercises, and cultural awareness experiences. Demonstrating to the teens, administrators, volunteers, mentors, and tutors the rich culture that Tempe has to offer and the skills and experience that they have to offer their community as well. In this thesis will we present our work developing and implementing the REACH program at the Ladmo Branch of the Tempe Boys and Girls Club from the Spring of 2013 through the Spring of 2015. We will describe the structure of REACH, our weekly leadership curriculum, our assessment and evaluation method, and the supplemental programs that we instituted (i.e., tutoring and mentoring). We will reflect on our successes and the challenges that we faced over the span of three years. We will conclude our thesis with a critical analysis of the program as a whole in order to provide advice for others who want to create and engage in a sustainable, student lead, community action organization.
ContributorsBurba, Monica (Co-author) / Smith, Jenna (Co-author) / Mokwa, Michael (Thesis director) / Eaton, John (Committee member) / Barrett, The Honors College (Contributor) / School of Politics and Global Studies (Contributor) / School of Sustainability (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor) / School of International Letters and Cultures (Contributor)
Created2015-05