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: Python
- Creators: Computer Science and Engineering Program
Machine learning has a near infinite number of applications, of which the potential has yet to have been fully harnessed and realized. This thesis will outline two departments that machine learning can be utilized in, and demonstrate the execution of one methodology in each department. The first department that will be described is self-play in video games, where a neural model will be researched and described that will teach a computer to complete a level of Super Mario World (1990) on its own. The neural model in question was inspired by the academic paper “Evolving Neural Networks through Augmenting Topologies”, which was written by Kenneth O. Stanley and Risto Miikkulainen of University of Texas at Austin. The model that will actually be described is from YouTuber SethBling of the California Institute of Technology. The second department that will be described is cybersecurity, where an algorithm is described from the academic paper “Process Based Volatile Memory Forensics for Ransomware Detection”, written by Asad Arfeen, Muhammad Asim Khan, Obad Zafar, and Usama Ahsan. This algorithm utilizes Python and the Volatility framework to detect malicious software in an infected system.
When creating computer vision applications, it is important to have a clear image of what is represented such that further processing has the best representation of the underlying data. A common factor that impacts image quality is blur, caused either by an intrinsic property of the camera lens or by introducing motion while the camera’s shutter is capturing an image. Possible solutions for reducing the impact of blur include cameras with faster shutter speeds or higher resolutions; however, both of these solutions require utilizing more expensive equipment, which is infeasible for instances where images are already captured. This thesis discusses an iterative solution for deblurring an image using an alternating minimization technique through regularization and PSF reconstruction. The alternating minimizer is then used to deblur a sample image of a pumpkin field to demonstrate its capabilities.
For my creative project thesis, I have designed and developed a video game called Amity Academy. Amity Academy is a strategic resource management simulator that aims to subvert genre expectations and challenge generally accepted definitions of success and leadership both in-game and in the real world. It does so by moving the focus away from amassing large amounts of in-game currencies and becoming politically or militarily dominant towards caring for the denizens of the social unit the player controls. The player acts as an administrator at a school where they must make decisions on how to best run the institution. Although they are allowed to lead the school however they see fit, the emphasis is on prioritizing strong interpersonal and intracommunity relationships and connections and the wellbeing and happiness of those under their ward. Amity Academy is also part of the newly-emerging “wholesome” or “comfy” game genre. Unlike serious strategy games that can be stressful, Amity Academy presents a self-paced, low-stakes situation. This mood is further encouraged by calming environmental noises and music, a gentle color palette, and a charming art style. The game feels domestic and quaint, almost reminiscent of a Jane Wooster Scott or Mary Singleton painting. You can download and play Amity Academy here: https://mvaughn8.itch.io/amity-academy