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 33
Description
RecyclePlus is an iOS mobile application that allows users to be knowledgeable in the realms of sustainability. It gives encourages users to be environmental responsible by providing them access to recycling information. In particular, it allows users to search up certain materials and learn about its recyclability and how to properly dispose of the material. Some searches will show locations of facilities near users that collect certain materials and dispose of the materials properly. This is a full stack software project that explores open source software and APIs, UI/UX design, and iOS development.
ContributorsTran, Nikki (Author) / Ganesh, Tirupalavanam (Thesis director) / Meuth, Ryan (Committee member) / Watts College of Public Service & Community Solut (Contributor) / Department of Information Systems (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
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
This study was designed to discover any relationship between waiting and purchasing impulse goods. I distributed a survey with three conditions: a control with no wait, a wait with information explaining the wait, and a wait with no information. After the wait, participants saw a group of impulse goods and indicated how much they were willing to spend for each item, and how much they desired to buy each item. Results showed that participants in the treatment condition with information for the wait desired the impulse goods the least, and were willing to spend the least to purchase them. However, there was no significant difference between the participants given no information explaining the wait, and the control group in either desire or the price they were willing to pay. This is possibly explained by the apology in the message read by participants in the condition with information. They felt more valued and were less likely to feel the need to spend money on impulse goods that are often purchased to make the participant feel better about their wait.
ContributorsThornton, Tiffany Lynn (Author) / Mandel, Naomi (Thesis director) / Lisjak, Monika (Committee member) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
As the need for data concerning the health of the world's oceans increases, it becomes necessary to develop large, networked communication systems underwater. This research involves the development of an embedded operating system that is suited for optically-linked underwater wireless sensor networks (WSNs). Optical WSNs are unique in that large sums of data may be received relatively infrequently, and so an operating system for each node must be very responsive. Additionally, the volatile nature of the underwater environment means that the operating system must be accurate, while still maintaining a low profile on a relatively small microprocessor core. The first part of this research concerns the actual implementation of the operating system's task scheduler and additional libraries to maintain synchronization, and the second part involves testing the operating system for responsiveness to interrupts and overall performance.
ContributorsTueller, Peter Michael (Author) / Youngbull, Cody (Thesis director) / Meuth, Ryan (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This project's goal was to design a Central Processing Unit (CPU) incorporating a fairly large instruction set and a multistage pipeline design with the potential to be used in a multi-core system. The CPU was coded and synthesized with Verilog. This was accomplished by building on the CPU design from fundamentals learned in CSE320 and increasing the instruction set to resemble a proper Reduced Instruction Set Computing (RISC) CPU system. A multistage pipeline was incorporated to the CPU to increase instruction throughput, or instructions per second. A major area of focus was on creating a multi-core design. The design used is master-slave in nature. The master core instructs the sub-cores where they should begin execution, the idea being that the operating system or kernel will be executing on the master core and the "user space" programs will be run on the sub-cores. The rationale behind this is that the system would specialize in running several small functions on all of its many supported cores. The system supports around 45 instructions, which include several types of jumps and branches (for changing the program counter based on conditions), arithmetic operations (addition, subtraction, or, and, etc.), and system calls (for controlling the core execution). The system has a very low Clocks per Instruction ratio (CPI), but to achieve this the second stage contains several modules and would most likely be a bottleneck for performance if implemented. The CPU is not perfect and contains a few errors and oversights, but the system as a whole functions as intended.
ContributorsKolden, Brian Andrew (Author) / Burger, Kevin (Thesis director) / Meuth, Ryan (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This project was centered around designing a processor model (using the C programming language) based on the Coldfire computer architecture that will run on third party software known as Open Virtual Platforms. The end goal is to have a fully functional processor that can run Coldfire instructions and utilize peripheral devices in the same way as the hardware used in the embedded systems lab at ASU. This project would cut down the substantial amount of time students spend commuting to the lab. Having the processor directly at their disposal would also encourage them to spend more time outside of class learning the hardware and familiarizing themselves with development on an embedded micro-controller. The model will be accurate, fast and reliable. These aspects will be achieved through rigorous unit testing and use of the OVP platform which provides instruction accurate simulations at hundreds of MIPS (million instructions per second) for the specified model. The end product was able to accurately simulate a subset of the Coldfire instructions at very high rates.
ContributorsDunning, David Connor (Author) / Burger, Kevin (Thesis director) / Meuth, Ryan (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2014-12
Description
The purpose of this project was to program a Raspberry Pi to be able to play music from both local storage on the Pi and from internet radio stations such as Pandora. The Pi also needs to be able to play various types of file formats, such as mp3 and FLAC. Finally, the project is also to be driven by a mobile app running on a smartphone or tablet. To achieve this, a client server design was employed where the Raspberry Pi acts as the server and the mobile app is the client. The server functionality was achieved using a Python script that listens on a socket and calls various executables that handle the different formats of music being played. The client functionality was achieved by programming an Android app in Java that sends encoded commands to the server, which the server decodes and begins playing the music that command dictates. The designs for both the client and server are easily extensible and allow for any future modifications to the project to be easily made.
ContributorsStorto, Michael Olson (Author) / Burger, Kevin (Thesis director) / Meuth, Ryan (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
Description
This study focuses on how parents purchase toys for their children. Specifically, the focus is on how likely parents are to purchase a toy typically associated with being feminine, masculine, or gender neutral. This study builds on research that showed that a parent’s gender role ideology affects how likely they are to purchase cross-gender toys (traditionally masculine toys for girls, traditionally feminine toys for boys) for their children (Kollmayer 2018). The study used photographs of pretested toys that had been deemed as masculine, feminine, or gender neutral. Using a within-subjects design, participants saw toys from each category and indicated their likelihood of purchase for each toy. The likelihood of purchase was used as the dependent variable. The findings were used to make recommendations to toy companies and retailers on how to market toys in regards to gender.
ContributorsSmith, Madeline Grace (Author) / Eaton, Kathryn (Thesis director) / Lisjak, Monika (Committee member) / Department of Marketing (Contributor) / Department of Supply Chain Management (Contributor) / School of Social Transformation (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
DescriptionTwo gender-neutral products developed and sold by IKEA were studied in order to learn about the development of such items, as well as what makes gender-neutral products appealing to consumers.
ContributorsDaryanani, Sapna Sonu (Author) / Gray, Nancy (Thesis director) / Lisjak, Monika (Committee member) / Department of Marketing (Contributor) / Herberger Institute for Design and the Arts (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
Through this thesis we studied and interviewed 6 international business managers that oversee employees in countless countries, and the continents of where they work include: Europe, The Americas, Asia, and Africa. These six managers include: David Kuehn and Ann Marie Griffith from the United States; Bogdan Maliszewski from Poland; Denisa Madarova from the Czech Republic; Gert Schmidts from Germany; and Fer Amkreutz from the Netherlands. Per our interview questions, we discussed how these international managers view their company and culture, the external environment, the cultures they work with and oversee, and the future of international management in regards to a universal value system for business. Our questions were constructed using Hofstede's Cultural Dimensions so that we could better understand how Hofstede's Dimensions have changed due to the technological era, in regards to International Management Styles. In the end, we discovered that there is an undeniable change in how international managers are leading their teams. Throughout the business world, cultural dimensions are changing and are becoming more inclusive of other cultures. This allows managers to lead international teams more effectively and efficiently.
ContributorsGriffith, Henry Donovan (Co-author) / Kuehn, Amanda (Co-author) / Moore, James (Thesis director) / Lisjak, Monika (Committee member) / W.P. Carey School of Business (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05