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Coldfire Processor Modeling

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…

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

Hello Period: Next Steps towards Ending Period Poverty

Description

Period Poverty is an issue affecting millions of people in the US alone, and in the face of this inequity, many public and private initiatives have been created to address this problem with varying degrees of success. By surveying students and interviewing public and community administrators, we have uncovered how…

Period Poverty is an issue affecting millions of people in the US alone, and in the face of this inequity, many public and private initiatives have been created to address this problem with varying degrees of success. By surveying students and interviewing public and community administrators, we have uncovered how these systems can improve to most effectively meet the needs of the communities they seek to serve. While often the primary complaint of menstruators who utilize these resources are that they are often understocked, this paper explores many other improvements which students would benefit from - such as more streamlined communication systems, improved quality and variety of products, and more efficient operational relationships.
ContributorsMesquita, Tomas (Author) / Chethikattil, Arya (Co-author) / Meuth, Ryan (Thesis director) / Johnston, Holly (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / School of Public Affairs (Contributor)
Created2023-05

Hello Period: Next Steps towards Ending Period Poverty

Description

Period Poverty is an issue affecting millions of people in the US alone, and in the face of this inequity, many public and private initiatives have been created to address this problem with varying degrees of success. By surveying students and interviewing public and community administrators, we have uncovered how…

Period Poverty is an issue affecting millions of people in the US alone, and in the face of this inequity, many public and private initiatives have been created to address this problem with varying degrees of success. By surveying students and interviewing public and community administrators, we have uncovered how these systems can improve to most effectively meet the needs of the communities they seek to serve. While often the primary complaint of menstruators who utilize these resources are that they are often understocked, this paper explores many other improvements which students would benefit from - such as more streamlined communication systems, improved quality and variety of products, and more efficient operational relationships.
ContributorsChethikattil, Arya (Author) / Mesquita, Tomas (Co-author) / Meuth, Ryan (Thesis director) / Johnston, Holly (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / Computer Science and Engineering Program (Contributor)
Created2023-05
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B-AWARE: Blockage Aware RSU Scheduling for 5G Enabled Autonomous Vehicles

Description
5G Millimeter Wave (mmWave) technology holds great promise for Connected Autonomous Vehicles (CAVs) due to its ability to achieve data rates in the Gbps range. However, mmWave suffers high beamforming overhead and requirement of line of sight (LOS) to maintain a strong connection. For Vehicle-to-Infrastructure (V2I) scenarios, where CAVs connect…

5G Millimeter Wave (mmWave) technology holds great promise for Connected Autonomous Vehicles (CAVs) due to its ability to achieve data rates in the Gbps range. However, mmWave suffers high beamforming overhead and requirement of line of sight (LOS) to maintain a strong connection. For Vehicle-to-Infrastructure (V2I) scenarios, where CAVs connect to roadside units (RSUs), these drawbacks become apparent. Because vehicles are dynamic, there is a large potential for link blockages, which in turn is detrimental to the connected applications running on the vehicle, such as cooperative perception and remote driver takeover. Existing RSU selection schemes base their decisions on signal strength and vehicle trajectory alone, which is not enough to prevent the blockage of links. Most recent CAVs motion planning algorithms routinely use other vehicle's near-future plans, either by explicit communication among vehicles, or by prediction. In this thesis, I make use of this knowledge (of the other vehicle's near future path plans) to further improve the RSU association mechanism for CAVs. I solve the RSU association problem by converting it to a shortest path problem with the objective to maximize the total communication bandwidth. Evaluations of B-AWARE in simulation using Simulated Urban Mobility (SUMO) and Digital twin for self-dRiving Intelligent VEhicles (DRIVE) on 12 highway and city street scenarios with varying traffic density and RSU placements show that B-AWARE results in a 1.05x improvement of the potential datarate in the average case and 1.28x in the best case vs. the state of the art. But more impressively, B-AWARE reduces the time spent with no connection by 48% in the average case and 251% in the best case as compared to the state-of-the-art methods. This is partly a result of B-AWARE reducing almost 100% of blockage occurrences in simulation.
ContributorsSzeto, Matthew (Author) / Shrivastava, Aviral (Thesis advisor) / LiKamWa, Robert (Committee member) / Meuth, Ryan (Committee member) / Arizona State University (Publisher)
Created2023