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K-pop as a Soft Power

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This essay examines national leaders’ shaping of K-pop into a foreign export, specifically looking into how K-pop is used as a soft power for South Korea. I also examine how effective K-pop is as a soft power. Because of its

This essay examines national leaders’ shaping of K-pop into a foreign export, specifically looking into how K-pop is used as a soft power for South Korea. I also examine how effective K-pop is as a soft power. Because of its growing global popularity and use of K-pop artists for international relations, such as Red Velvet performing for Kim Jong Un, we might expect K-pop to act as the gateway into South Korean culture, often being the first exposure that other countries have into this country’s way of life. Through a qualitative analysis of resources ranging from news articles, videos, and social media posts, we see that K-pop idols, a term for K-pop celebrities, are heavily groomed and shaped by their labels to promote the South Korean national brand. Combined with a well-made business model to appeal to different countries, they also create sentiment for South Korean culture throughout the world with the support of the government and a strong fanbase. This plan is extremely effective in generating revenue for a multitude of South Korean brands beyond K-pop and even fosters South Korean affection in North Korea.

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2020-05

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Crew Balance in Construction Tasks for Productivity Analysis - A Sustainability Perspective

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The following report followed three separate construction crews at a construction site at ASU and performed labor productivity analysis to quantitatively measure the efficiency of the workers performing specific tasks. These crews were tasked with electrical wiring, concrete pouring, and

The following report followed three separate construction crews at a construction site at ASU and performed labor productivity analysis to quantitatively measure the efficiency of the workers performing specific tasks. These crews were tasked with electrical wiring, concrete pouring, and drywall sanding. Crew balance measured the down time of individual crew members compared to the overall time spent on a task, and the results of these observations were calculated, and suggested improvements given.

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2020-05

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Feature Extraction on Sentiment Attitude Values to Better Predict the Stock Market Using Twitter Sentiment

Description

Behavioral economics suggests that emotions can affect an individual’s decision making. Recent research on this idea’s application on large societies hints that there may exist some correlation or maybe even some causation relationship between public sentiment—at least what can be

Behavioral economics suggests that emotions can affect an individual’s decision making. Recent research on this idea’s application on large societies hints that there may exist some correlation or maybe even some causation relationship between public sentiment—at least what can be pulled from Twitter—and the movement of the stock market. One major result of consistent research on whether or not public sentiment can predict the movement of the stock market is that public sentiment, as a feature, is becoming more and more valid as a variable for stock-market-based machine learning models. While raw values typically serve as invaluable points of data, when training a model, many choose to “engineer” new features for their models—deriving rates of change or range values to improve model accuracy.
Since it doesn’t hurt to attempt to utilize feature extracted values to improve a model (if things don’t work out, one can always use their original features), the question may arise: how could the results of feature extraction on values such as sentiment affect a model’s ability to predict the movement of the stock market? This paper attempts to shine some light on to what the answer could be by deriving TextBlob sentiment values from Twitter data, and using Granger Causality Tests and logistic and linear regression to test if there exist a correlation or causation between the stock market and features extracted from public sentiment.

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2020-05

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Surface Mechanical Attrition Treatment (SMAT) of 7075 Aluminum Alloy to Induce a Protective Corrosion Resistant Layer

Description

This paper investigates Surface Mechanical Attrition Treatment (SMAT) and the influence of treatment temperature and initial sample surface finish on the corrosion resistance of 7075-T651 aluminum alloy. Ambient SMAT was performed on AA7075 samples polished to 80-grit initial surface roughness.

This paper investigates Surface Mechanical Attrition Treatment (SMAT) and the influence of treatment temperature and initial sample surface finish on the corrosion resistance of 7075-T651 aluminum alloy. Ambient SMAT was performed on AA7075 samples polished to 80-grit initial surface roughness. Potentiodynamic polarization and electrochemical impedance spectroscopy (EIS) tests were used to characterize the corrosion behavior of samples before and after SMAT. Electrochemical tests indicated an improved corrosion resistance after application of SMAT process. The observed improvements in corrosion properties are potentially due to microstructural changes in the material surface induced by SMAT which encouraged the formation of a passive oxide layer. Further testing and research are required to understand the corrosion related effects of cryogenic SMAT and initial-surface finish as the COVID-19 pandemic inhibited experimentation plans.

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2020-05

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Role of Metabolism in Antibiotic Resistance

Description

Each year, more and more multi-drug resistant bacterial strains emerge, thus complicating treatment and increasing the average stay in the intensive care unit. As antibiotics are being rendered inefficient, there is a need to look into ways of weakening the

Each year, more and more multi-drug resistant bacterial strains emerge, thus complicating treatment and increasing the average stay in the intensive care unit. As antibiotics are being rendered inefficient, there is a need to look into ways of weakening the internal state of bacterial cells to make them more susceptible to antibiotics. For this, we first need to understand what methods bacteria employ to fight against antibiotics. In this work, we have reviewed how bacteria respond to antibiotics. There is a similarity in response to antibiotic exposure and starvation (stringent stress) which changes the metabolic state. We have delineated what metabolism changes take place and how they are associated with oxidative stress. For example, there is a common change in NADH concentration that is tied to both metabolism and oxidative stress. Finally, we have compared the findings in literature with our research on an antibiotic-resistant RNA polymerase mutant that alters the gene expression profile in the general areas of metabolism and oxidative stress. Based on this thesis, we have suggested a couple of strategies to make antibiotics more efficient; however, as antibiotic-mediated killing is very complex, researchers need to delve deeper to understand and manipulate the full cellular response.

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2020-05

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Oedipus Wrought: Morality and Fear in Oedipus Rex Across Media

Description

This project analyzes the use of fear appeals in transmitting a moral of self-realization in the drama Oedipus Rex and its adaptations into painting and film. It draws upon earlier work in media ecology, adaptation, and studies of emotions in

This project analyzes the use of fear appeals in transmitting a moral of self-realization in the drama Oedipus Rex and its adaptations into painting and film. It draws upon earlier work in media ecology, adaptation, and studies of emotions in media. It proposes that what distinguishes media from one another is the unique way that each medium stimulates the reader to draw from their own experiences with life and literature. Alternatively, what unites media is the cross platform assimilation of author and reader reality. More specifically, it asserts that print stimulates the reader via immersion, that painting achieves this same effect by acting as a proxy for the reader to embody the image before them, and that film stimulates the viewer as a result of emotive focus. Collectively, it concludes that when it comes to Oedipus and its many forms, the plays utilize fear to communicate the moral through both surface and dense texts, while painting adaptations focus on dense texts, and the filmic adaptations emphasize their surface equivalent. The project’s significance rests in its challenge to Marshal McLuhan’s technological determinism. On exposing the effects that a reader’s varied mindset can have on a medium’s ability to communicate its message, the project highlights that the relationship between humankind and media is not so deterministic and is more complex than McLuhan would have us believe.

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2020-05

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Input-Elicitation Methods for Crowdsourced Human Computation

Description

Collecting accurate collective decisions via crowdsourcing
is challenging due to cognitive biases, varying
worker expertise, and varying subjective scales. This
work investigates new ways to determine collective decisions
by prompting users to provide input in multiple
formats. A crowdsourced task

Collecting accurate collective decisions via crowdsourcing
is challenging due to cognitive biases, varying
worker expertise, and varying subjective scales. This
work investigates new ways to determine collective decisions
by prompting users to provide input in multiple
formats. A crowdsourced task is created that aims
to determine ground-truth by collecting information in
two different ways: rankings and numerical estimates.
Results indicate that accurate collective decisions can
be achieved with less people when ordinal and cardinal
information is collected and aggregated together
using consensus-based, multimodal models. We also
show that presenting users with larger problems produces
more valuable ordinal information, and is a more
efficient way to collect an aggregate ranking. As a result,
we suggest input-elicitation to be more widely considered
for future work in crowdsourcing and incorporated
into future platforms to improve accuracy and efficiency.

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2020-05

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Automatic Water Shutoff Web Server Infrastructure and Smart Home Integration

Description

This thesis covers the continued development of an automatic water shutoff product developed as a capstone project by students in the college of engineering. The continued development covers the process of setting up a publicly accessible web server along

This thesis covers the continued development of an automatic water shutoff product developed as a capstone project by students in the college of engineering. The continued development covers the process of setting up a publicly accessible web server along with required server components and creating an Alexa skill for smart home integration.

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Date Created
2020-12

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Hana: An Open-Domain Chatbot Application for Language Learning

Description

Learning a new language can be very challenging. One significant aspect of learning a language is learning how to have fluent verbal and written conversations with other people in that language. However, it can be difficult to find other people

Learning a new language can be very challenging. One significant aspect of learning a language is learning how to have fluent verbal and written conversations with other people in that language. However, it can be difficult to find other people available with whom to practice conversations. Additionally, total beginners may feel uncomfortable and self-conscious when speaking the language with others. In this paper, I present Hana, a chatbot application powered by deep learning for practicing open-domain verbal and written conversations in a variety of different languages. Hana uses a pre-trained medium-sized instance of Microsoft's DialoGPT in order to generate English responses to user input translated into English. Google Cloud Platform's Translation API is used to handle translation to and from the language selected by the user. The chatbot is presented in the form of a browser-based web application, allowing users to interact with the chatbot in both a verbal or text-based manner. Overall, the chatbot is capable of having interesting open-domain conversations with the user in languages supported by the Google Cloud Translation API, but response generation can be delayed by several seconds, and the conversations and their translations do not necessarily take into account linguistic and cultural nuances associated with a given language.

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2020-12

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A Tool for the Parametric Modelling of Aircraft Landing Gear

Description

This paper outlines the development of a script which utilizes a series of user-defined input parameters to construct base-level CAD models of aircraft landing gear. With an increased focus on computation development of aircraft models to allow for a rapidprototyping

This paper outlines the development of a script which utilizes a series of user-defined input parameters to construct base-level CAD models of aircraft landing gear. With an increased focus on computation development of aircraft models to allow for a rapidprototyping design process, this program seeks to allow designers to check for the validity of design integration before moving forward on systems testing. With this script, users are able to visually analyze the landing gear configurations on an aircraft in both the gear up and gear down configuration. The primary purpose this serves is to determine the validity of the gear's potential to fit within the limited real estate on an aircraft body. This, theoretically, can save time by weeding out infeasible designs before moving forward with subsystem performance testing. The script, developed in Python, constructs CAD models of dual and dual-tandem main landing gear configurations in the CAD program Rhino5. With an included design template consisting of 33 parameters, the script allows for a reasonable trade off between conciseness and flexibility of design.

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2018-05