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- All Subjects: RRAM
- All Subjects: Solar Power
- Creators: Electrical Engineering Program
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Resource Type: Text
The final testing circuit and Mock-RRAM are varied and complex but come together to be able to produce a measured value of the high resistance and low resistance state. This is done by the Arduino autonomously digitizing the anode voltage, cathode voltage, and output voltage. A ramp voltage that sweeps from 1V to -1V is applied to the Mock-RRAM acting as an input. This ramp voltage is then later defined as the anode voltage which is just one of the two nodes connected to the Mock-RRAM. The cathode voltage is defined as the other node at which the voltage drops across the Mock-RRAM. Using these three voltages as input to the Arduino, the Mock-RRAM path resistance is able to be calculated at any given point in time. Conducting many test cycles and calculating the high and low resistance values allows for a graph to be developed of the chaotic variation of resistance state values over time. This chaotic variation can then be analyzed further in the future in order to better predict trends and characterize the RRAM cell that was tested.
Furthermore, the interchangeability of many devices on the PCB allows for the testing system to do more in the future. Ports have been added to the final PCB in order to connect a packaged RRAM cell. This will allow for the characterization of a real RRAM memory cell later down the line rather than a Mock-RRAM as emulation. Due to the autonomous testing, very few human intervention is needed which makes this board a great baseline for others in the future looking to add to it and collect larger pools of data.
Lossy compression is a form of compression that slightly degrades a signal in ways that are ideally not detectable to the human ear. This is opposite to lossless compression, in which the sample is not degraded at all. While lossless compression may seem like the best option, lossy compression, which is used in most audio and video, reduces transmission time and results in much smaller file sizes. However, this compression can affect quality if it goes too far. The more compression there is on a waveform, the more degradation there is, and once a file is lossy compressed, this process is not reversible. This project will observe the degradation of an audio signal after the application of Singular Value Decomposition compression, a lossy compression that eliminates singular values from a signal’s matrix.
This honors thesis report aims to propose a sustainable long-term solution for providing off-grid solar energy to rural communities that lack the necessary grid energy infrastructure. With this in mind, we aim to establish the framework and documentation for people to be able to build and maintain their own off-grid solar power systems. Due to recent incentives for clean energy both nationwide and statewide, the team will discuss the current renewable energy market and the future growth potential of residential solar energy systems, which includes off-grid or remote solar. This discussion will include comparing pre-built solar systems currently offered for purchase against the proposed design outlined in this report. Notably, the outlined design has been made with an emphasis on system sustainability, low initial cost, reliability, ease of manufacturing/maintenance, and material selection. Lastly, the team will discuss the project’s approach to documentation with a user manual draft to ensure the system's long-term sustainability and troubleshooting. Although the efforts of this project have increased over time, this project remains active within the ASU EWB chapter, meaning that not all aspects described throughout this report are fully complete as future work will continue to optimize and improve the system. A rural community in northern Arizona, will be used as an example to understand a rural community's needs for designing a solar panel system that provides sufficient energy for a single household. The project was completed in collaboration with Arizona State University’s Engineering Projects In Community Service (EPICS) program and Engineers Without Borders (EWB) chapter. Both these organizations aim to connect ASU students to the professional mentors and resources they need to design and implement low-cost, small-scale, easily replicated, and sustainable engineering projects.