This thesis proposes hardware and software security enhancements to the robotic explorer of a capstone team, in collaboration with the NASA Psyche Mission Student Collaborations program. The NASA Psyche Mission, launching in 2022 and reaching the metallic asteroid of the same name in 2026, will explore from orbit what is hypothesized to be remnant core material of an early planet, potentially providing key insights to planet formation. Following this initial mission, it is possible there would be scientists and engineers interested in proposing a mission to land an explorer on the surface of Psyche to further document various properties of the asteroid. As a proposal for a second mission, an interdisciplinary engineering and science capstone team at Arizona State University designed and constructed a robotic explorer for the hypothesized surfaces of Psyche, capable of semi-autonomously navigating simulated surfaces to collect scientific data from onboard sensors. A critical component of this explorer is the command and data handling subsystem, and as such, the security of this system, though outside the scope of the capstone project, remains a crucial consideration. This thesis proposes the pairing of Trusted Platform Module (TPM) technology for increased hardware security and the implementation of SELinux (Security Enhanced Linux) for increased software security for Earth-based testing as well as space-ready missions.

Radiation hardening of electronic devices is generally necessary when designing for the space environment. Non-volatile memory technologies are of particular concern when designing for the mitigation of radiation effects. Among other radiation effects, single-event upsets can create bit flips in non-volatile memories, leading to data corruption. In this paper, a Verilog implementation of a Reed-Solomon error-correcting code is considered for its ability to mitigate the effects of single-event upsets on non-volatile memories. This implementation is compared with the simpler procedure of using triple modular redundancy.

Every communication system has a receiver and a transmitter. Irrespective if it is wired or wireless.The future of wireless communication consists of a massive number of transmitters and receivers. The question arises, can we use computer vision to help wireless communication? To satisfy the high data requirement, a large number of antennas are required. The devices that employ large-antenna arrays have other sensors such as RGB camera, depth camera, or LiDAR sensors.These vision sensors help us overcome the non-trivial wireless communication challenges, such as beam blockage prediction and hand-over prediction.This is further motivated by the recent advances in deep learning and computer vision that can extract high-level semantics from complex visual scenes, and the increasing interest of leveraging machine/deep learning tools in wireless communication problems.[1] <br/><br/>The research was focused solely based on technology like 3D cameras,object detection and object tracking using Computer vision and compression techniques. The main objective of using computer vision was to make Milli-meter Wave communication more robust, and to collect more data for the machine learning algorithms. Pre-build lossless and lossy compression algorithms, such as FFMPEG, were used in the research. An algorithm was developed that could use 3D cameras and machine learning models such as YOLOV3, to track moving objects using servo motors and low powered computers like the raspberry pi or the Jetson Nano. In other words, the receiver could track the highly mobile transmitter in 1 dimension using a 3D camera. Not only that, during the research, the transmitter was loaded on a DJI M600 pro drone, and then machine learning and object tracking was used to track the highly mobile drone. In order to build this machine learning model and object tracker, collecting data like depth, RGB images and position coordinates were the first yet the most important step. GPS coordinates from the DJI M600 were also pulled and were successfully plotted on google earth. This proved to be very useful during data collection using a drone and for the future applications of position estimation for a drone using machine learning. <br/><br/>Initially, images were taken from transmitter camera every second,and those frames were then converted to a text file containing hex-decimal values. Each text file was then transmitted from the transmitter to receiver, and on the receiver side, a python code converted the hex-decimal to JPG. This would give an efect of real time video transmission. However, towards the end of the research, an industry standard, real time video was streamed using pre-built FFMPEG modules, GNU radio and Universal Software Radio Peripheral (USRP). The transmitter camera was a PI-camera. More details will be discussed as we further dive deep into this research report.

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.

The depiction of female action heroes in modern blockbuster films has become more accurate throughout the years; however, the representation of women is still not as progressive as feminist scholars, actors, and viewers would like. This thesis explores two recent blockbuster films, Wonder Woman (2017) and Mad Max: Fury Road (2015), and how each film deals with the representation of women. While one could look to many cultural forms to explore such issues, films, “the most accessible representations of the past, present, and future of our society,” are particularly fertile ground for exploring gendered representations and stereotyping (Haskell, 1974). For much of Hollywood history, action films have used female protagonists as either passive, venerated symbols of perfect femininity, or objects of fascination and sexual pleasure for their male viewers. Or, if the female hero does have a degree of agency that allows her to push the plot forward, she is subject to moral scrutiny and frequently masculinized. In fact, the representation of women often falls into binary categories: the angelic damsel in distress, or the morally reprehensible, often masculinized, female villain. While the history of women’s representation in film more generally and action films more specifically is a long and complicated one that is beyond the scope of this project, recent action productions have exhibited notable shifts, both in terms of female characters’ box-office and narrative strength. However, both Wonder Woman and Mad Max: Fury Road, present viewers with examples of female representation that break through many of the misogynistic tropes that have dominated the genre for far too long. The key distinction between how both films destroy gendered stereotypes lies in the degrees to which the films allow their central female protagonists, and more minor female characters, to dominate the narrative and inhabit the composition of the screen. Wonder Woman tells the story of one powerful woman, whereas Fury Road utilizes a multitude of women in its story to defy gender stereotypes. While both films can be interpreted as empowering for female viewers, Wonder Woman gives its audience an easily digestible example of female agency; this is due to Wonder Woman allowing its famous comic book hero to comment and reject traditional women’s clothing, but also insists Diana be limited to hypersexualized battle armour and implicates that women cannot have love, power, and family. On the other hand, Fury Road presents viewers with a more radicalized gynocentric world in which, after considerable struggle and not without compromise, female characters not only have power, but wrest it away from the men who have abusively held onto control in the past. These two films also paved new ground for women in Hollywood production terms: giving women more power at the box-office and destroying the old-aged notion that female-centric films do not sell and make money at the same rate as male-centered ones do. Both Wonder Woman and Mad Max: Fury Road, in their own ways, depict that there is space for female action heroes to be more progressive and feminist in future blockbuster action films.

Self-efficacy in engineering, engineering identity, and coping in engineering have been shown in previous studies to be highly important in the advancement of one’s development in the field of engineering. Through the creation and deployment of a 17 question survey, undergraduate and first year masters students were asked to provide information on their engagement at their university, their demographic information, and to rank their level of agreement with 22 statements relating to the aforementioned ideas. Using the results from the collected data, exploratory factor analysis was completed to identify the factors that existed and any correlations. No statistically significant correlations between the identified three factors and demographic or engagement information were found. There needs to be a significant increase in the data sample size for statistically significant results to be found. Additionally, there is future work needed in the creation of an engagement measure that successfully reflects the level and impact of participation in engineering activities beyond traditional coursework.

In collaboration with Moog Broad Reach and Arizona State University, a<br/>team of five undergraduate students designed a hardware design solution for<br/>protecting flash memory data in a spaced-based radioactive environment. Team<br/>Aegis have been working on the research, design, and implementation of a<br/>Verilog- and Python-based error correction code using a Reed-Solomon method<br/>to identify bit changes of error code. For an additional senior design project, a<br/>Python code was implemented that runs statistical analysis to identify whether<br/>the error correction code is more effective than a triple-redundancy check as well<br/>as determining if the presence of errors can be modeled by a regression model.

With this research and creative project, I aim to accomplish the following: first, I narrate my own experience as a victim of cyberbullying and the jumbled, inadequate response from my university; second, I assemble a literature review of best practices for university responses to student reports of cyberbullying and cyber assault; third, I offer a call to action for universities to adopt the best practices to deter cyber assaults and learn how to listen and respond to victims