Society is heavily dependent on a reliable electric supply; all infrastructure systems depend on electricity to operate. When the electric system fails, the impacts can be catastrophic (food spoilage, inoperable medical devices, lack of access to water, etc.). The social impacts, defined as the direct and indirect impacts on people, of power outages must be explored as the likelihood of power outages and blackouts are increasing. However, compared to other hazards, such as heat and flooding, the knowledge base on the impacts of power outages is relatively small. The purpose of this thesis is to identify what is currently known about the social impacts of power outages, identify where gaps in the literature exist, and deploy a survey to explore power outage experiences at the household level. This thesis is comprised of two chapters, a systematic literature review on the current knowledge of the social impacts of power outages and a multi-city survey focused on power outage experiences.

The first chapter comprised of a systematic literature review using a combined search of in Scopus which returned 762 candidate articles were identified that potentially explored the social impacts of power outages. However, after multiple filtering criteria were applied, only 45 articles met all criteria. Four themes were used to classify the literature, not exclusively, including modeling, social, technical, and other. Only papers that were classified as “social” - meaning they observed how people were affected by a power outage - or in combination with other categories were used within the review.

From the literature, populations of concern were identified, including minority demographics - specifically Blacks or African Americans, children, elderly, and rural populations. The most commonly reported health concerns were from those that rely on medical devices for chronic conditions and unsafe generator practices. Criminal activity was also reported to increase during prolonged power outages and can be mitigated by consistent messaging on where to receive assistance and when power will be restored. Providing financial assistance and resources such as food and water can reduce the crime rate temporarily, but the crime rate can be expected to increase once the relief expires. Authorities should expect looting to occur, especially in poorer areas, during prolonged power outages. Gaps in the literature were identified and future directions for research were provided.

The second chapter consists of a multi-city survey that targeted three major cities across the United States (Detroit, MI; Miami, FL; and Phoenix, AZ). The survey was disseminated through Amazon’s Mechanical Turk and hosted by Qualtrics. 896 participants from the three cities qualified to complete the full version of the survey. Three criteria had to be met for participants to complete the full survey including residing in one of the three target cities, living at their primary address for a majority of the year, and indicate they had experienced a power outage within the last five years.

Participants were asked questions regarding the number of outages experienced in the last five years, the length of their most recent and longest outage experienced, if they owned a generator, how they managed their longest power outage, if participants or anyone in their household relies on a medical device, the financial burden their power outage caused, and standard demographic- and income-related questions. Race was a significant variable that influenced the outage duration length but not frequency in Phoenix and Detroit. Income was not a significant variable associated with experiencing greater economic impacts, such as having thrown food away because of an outage and not receiving help during the longest outage. Additional assessments similar to this survey are needed to better understand household power outage experiences.

Findings from this thesis demonstrate traditional metrics used in vulnerability indices were not indicative of who experienced the greatest effects of power outages. Additionally, other factors that are not included in these indices, such as owning adaptive resources including medical devices and generators in Phoenix and Detroit, are factors in reducing negative outcomes. More research is needed on this topic to indicate which populations are more likely to experience factors that can influence positive or negative outage outcomes.

The field of radio broadcast requires the cohesion of several different skill sets in order to be a success. KHEA Radio has used a traditional form of teaching, which means taking a one-on-one approach. Taking this approach has worked for years in the past and has been the only option for teaching. The down side to this method of teaching is that it requires one seasoned employee to stop their work and take the time to train a new employee. Because of the significant void in the area of instructional content for radio sound engineering, my co-worker and I had to troubleshoot this console and basically teach ourselves its functions. I saw the need for better instructional content on the Internet and in print based on my own experiences. The skills used to create the following instructional content were gained from course work at Arizona State University. The graduate department of Technical Communication makes every effort to equip students with varied skills that can be applied to different fields within the overall scheme of technical communication. This guide serves as a tool for radio broadcast novices to learn the basics of sound board operation.

YourBrandPartner.com exists to provide content to those seeking specific advice and information on purchasing custom promotional items. For this investigation, I conducted a usability test with a select user group to identify user experience issues. The primary goal of this research was to conduct general usability testing through large group survey and a small in-person usability testing group. I designed surveys and tests to investigate if users experienced difficulties in finding the information they were looking for on the website. Based on the results of this study, I recommend reviewing the visual design of the website, increasing site speed, creating a better experience between the blog and e- commerce interactions, and creating an environment that is more accommodating of where the user is in the buying process. This full report includes expanded participant feedback, methodology behind the study, and full recommendations for improvement.

The purpose of this applied project was to research and recommend to Phoenix Children’s Hospital (PCH) improvements to their website in order to provide parents whose child has been newly diagnosed with cancer the most clear and appropriate health information. I conducted a study in order to analyze and evaluate the health information content currently provided to parents at PCH. This was done by through qualitative coding methods on both printed documents provided by The Emily Center Library, as well as interviews conducted with three Hematology/Oncology nurses at PCH. Additionally, I researched the current literature surrounding this topic in order to provide a background of information. Based on the results, I recommended that PCH offer parents a comprehensive cancer database in which all provided information would be searchable via their website. This database would also allow them to expand on their two topic focuses: home care and emotional support. Additionally, I recommended that parents are provided information on how to identify credible and non- credible sources on the Internet so that they can find information that is truly medically valuable when searching for information on their own. Lastly, I offered future recommendations that will require continued research so that PCH’s provided health information can continue to grow and improve.

Affective computing allows computers to monitor and influence people’s affects, in other words emotions. Currently, there is a lot of research exploring what can be done with this technology. There are many fields, such as education, healthcare, and marketing, that this technology can transform. However, it is important to question what should be done. There are unique ethical considerations in regards to affective computing that haven't been explored. The purpose of this study is to understand the user’s perspective of affective computing in regards to the Association of Computing Machinery (ACM) Code of Ethics, to ultimately start developing a better understanding of these ethical concerns. For this study, participants were required to watch three different videos and answer a questionnaire, all while wearing an Emotiv EPOC+ EEG headset that measures their emotions. Using the information gathered, the study explores the ethics of affective computing through the user’s perspective.

Cryptojacking is a process in which a program utilizes a user’s CPU to mine cryptocurrencies unknown to the user. Since cryptojacking is a relatively new problem and its impact is still limited, very little has been done to combat it. Multiple studies have been conducted where a cryptojacking detection system is implemented, but none of these systems have truly solved the problem. This thesis surveys existing studies and provides a classification and evaluation of each detection system with the aim of determining their pros and cons. The result of the evaluation indicates that it might be possible to bypass detection of existing systems by modifying the cryptojacking code. In addition to this classification, I developed an automatic code instrumentation program that replaces specific instructions with functionally similar sequences as a way to show how easy it is to implement simple obfuscation to bypass detection by existing systems.

This paper is centered on the use of generative adversarial networks (GANs) to convert or generate RGB images from grayscale ones. The primary goal is to create sensible and colorful versions of a set of grayscale images by training a discriminator to recognize failed or generated images and training a generator to attempt to satisfy the discriminator. The network design is described in further detail below; however there are several potential issues that arise including the averaging of a color for certain images such that small details in an image are not assigned unique colors leading to a neutral blend. We attempt to mitigate this issue as much as possible.

This paper is centered on the use of generative adversarial networks (GANs) to convert or generate RGB images from grayscale ones. The primary goal is to create sensible and colorful versions of a set of grayscale images by training a discriminator to recognize failed or generated images and training a generator to attempt to satisfy the discriminator. The network design is described in further detail below; however there are several potential issues that arise including the averaging of a color for certain images such that small details in an image are not assigned unique colors leading to a neutral blend. We attempt to mitigate this issue as much as possible.