Matching Items (5)
Description
SmartAid aims to target a small, yet relevant issue in a cost effective, easily replicable, and innovative manner. This paper outlines how to replicate the design and building process to create an intelligent first aid kit. SmartAid utilizes Alexa Voice Service technologies to provide a new and improved way to teach users about the different types of first aid kit items and how to treat minor injuries, step by step. Using Alexa and RaspberryPi, SmartAid was designed as an added attachment to first aid kits. Alexa Services were installed into a RaspberryPi to create a custom Amazon device, and from there, using the Alexa Interaction Model and the Lambda function services, SmartAid was developed. After the designing and coding of the application, a user guide was created to provide users with information on what items are included in the first aid kit, what types of injuries can be treated through first aid, and how to use SmartAid. The
application was tested for its usability and practicality by a small sample of students. Users provided suggestions on how to make the application more versatile and functional, and confirmed that the application made first aid easier and was something that they could see themselves using. While this application is not aimed to replace the current physical guide solution completely, the findings of this project show that SmartAid has potential to stand in as an improved, easy to use, and convenient alternative for first aid guidance.
application was tested for its usability and practicality by a small sample of students. Users provided suggestions on how to make the application more versatile and functional, and confirmed that the application made first aid easier and was something that they could see themselves using. While this application is not aimed to replace the current physical guide solution completely, the findings of this project show that SmartAid has potential to stand in as an improved, easy to use, and convenient alternative for first aid guidance.
ContributorsHasan, Bushra Anwara (Author) / Kobayashi, Yoshihiro (Thesis director) / Nakamura, Mutsumi (Committee member) / Computer Science and Engineering Program (Contributor) / Department of Psychology (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Developed a business product with a team of CS Students
ContributorsHernandez, Maximilliano (Co-author) / Schneider, Kaitlin (Co-author) / Perri, Cole (Co-author) / Call, Andy (Thesis director) / Hunt, Neil (Committee member) / School of Accountancy (Contributor) / School of Sustainability (Contributor) / Department of Information Systems (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Throughout history, African-Americans have had to fight for their civil rights. There were many ways used to voice their opinions and advance the civil rights movement, including protests and marches. One very effective method was through music and the creation of jazz. Louis Armstrong was an innovator and major influence of jazz. His abilities as an artist were recognized by society, above his political position or class status.
The topic of my thesis is Louis Armstrong and his influence on society and the Civil Rights Movement. The intent is to demonstrate how Louis Armstrong aided the Civil Rights Movement by using his music to promote social justice and racial equality. The focus will be on the context of African-Americans, their social status, and rights from the early 1900s to the mid-1900s. I will connect this to important events in that time such as the fight against Jim Crow Laws and how Louis Armstrong played a role in ending segregation. He accomplished this by pushing the movement forward through speeches, fund-raising events, and his innovation of jazz. Armstrong’s gift was a form of swing jazz that advanced improvisation and emotion of music.
He was criticized for playing to segregated audiences and was thought to keep offensive stereotypes alive. However, Louis Armstrong battled against these conspiracies by performing fund-raising events and through public political stances against the oppression of African-Americans. As an example, he was outspoken about his disapproval of government and the public for their treatment of the nine African-American students enrolled at Little Rock. This resulted in the first time the school would be unsegregated between whites and blacks. Louis Armstrong worked hard in the fight against segregation and used his mastery of jazz to advance the civil rights movement. Finally, I will make a proposal as to how society can learn from Louis Armstrong and how to inspire new innovative forms of positively influencing society to help the less fortunate.
The topic of my thesis is Louis Armstrong and his influence on society and the Civil Rights Movement. The intent is to demonstrate how Louis Armstrong aided the Civil Rights Movement by using his music to promote social justice and racial equality. The focus will be on the context of African-Americans, their social status, and rights from the early 1900s to the mid-1900s. I will connect this to important events in that time such as the fight against Jim Crow Laws and how Louis Armstrong played a role in ending segregation. He accomplished this by pushing the movement forward through speeches, fund-raising events, and his innovation of jazz. Armstrong’s gift was a form of swing jazz that advanced improvisation and emotion of music.
He was criticized for playing to segregated audiences and was thought to keep offensive stereotypes alive. However, Louis Armstrong battled against these conspiracies by performing fund-raising events and through public political stances against the oppression of African-Americans. As an example, he was outspoken about his disapproval of government and the public for their treatment of the nine African-American students enrolled at Little Rock. This resulted in the first time the school would be unsegregated between whites and blacks. Louis Armstrong worked hard in the fight against segregation and used his mastery of jazz to advance the civil rights movement. Finally, I will make a proposal as to how society can learn from Louis Armstrong and how to inspire new innovative forms of positively influencing society to help the less fortunate.
ContributorsSchmerler, Cameron (Author) / Wells, Christopher (Thesis director) / Feisst, Sabine (Committee member) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Machine learning is one of the fastest growing fields and it has applications in almost any industry. Predicting sports games is an obvious use case for machine learning, data is relatively easy to collect, generally complete data is available, and outcomes are easily measurable. Predicting the outcomes of sports events may also be easily profitable, predictions can be taken to a sportsbook and wagered on. A successful prediction model could easily turn a profit. The goal of this project was to build a model using machine learning to predict the outcomes of NBA games.
In order to train the model, data was collected from the NBA statistics website. The model was trained on games dating from the 2010 NBA season through the 2017 NBA season. Three separate models were built, predicting the winner, predicting the total points, and finally predicting the margin of victory for a team. These models learned on 80 percent of the data and validated on the other 20 percent. These models were trained for 40 epochs with a batch size of 15.
The model for predicting the winner achieved an accuracy of 65.61 percent, just slightly below the accuracy of other experts in the field of predicting the NBA. The model for predicting total points performed decently as well, it could beat Las Vegas’ prediction 50.04 percent of the time. The model for predicting margin of victory also did well, it beat Las Vegas 50.58 percent of the time.
In order to train the model, data was collected from the NBA statistics website. The model was trained on games dating from the 2010 NBA season through the 2017 NBA season. Three separate models were built, predicting the winner, predicting the total points, and finally predicting the margin of victory for a team. These models learned on 80 percent of the data and validated on the other 20 percent. These models were trained for 40 epochs with a batch size of 15.
The model for predicting the winner achieved an accuracy of 65.61 percent, just slightly below the accuracy of other experts in the field of predicting the NBA. The model for predicting total points performed decently as well, it could beat Las Vegas’ prediction 50.04 percent of the time. The model for predicting margin of victory also did well, it beat Las Vegas 50.58 percent of the time.
ContributorsGarretson, Samuel Burkett (Author) / Meuth, Ryan (Thesis director) / Nakamura, Mutsumi (Committee member) / Computer Science and Engineering Program (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The nonprofit organization, I Am Zambia, works to give supplemental education to young women in Lusaka. I Am Zambia is creating sustainable change by educating these females, who can then lift their families and communities out of poverty. The ultimate goal of this thesis was to explore and implement high level systematic problem solving through basic and specialized computational thinking curriculum at I Am Zambia in order to give these women an even larger stepping stool into a successful future.
To do this, a 4-week long pilot curriculum was created, implemented, and tested through an optional class at I Am Zambia, available to women who had already graduated from the year-long I Am Zambia Academy program. A total of 18 women ages 18-24 chose to enroll in the course. There were a total of 10 lessons, taught over 20 class period. These lessons covered four main computational thinking frameworks: introduction to computational thinking, algorithmic thinking, pseudocode, and debugging. Knowledge retention was tested through the use of a CS educational tool, QuizIt, created by the CSI Lab of School of Computing, Informatics and Decision Systems Engineering at Arizona State University. Furthermore, pre and post tests were given to assess the successfulness of the curriculum in teaching students the aforementioned concepts. 14 of the 18 students successfully completed the pre and post test.
Limitations of this study and suggestions for how to improve this curriculum in order to extend it into a year long course are also presented at the conclusion of this paper.
To do this, a 4-week long pilot curriculum was created, implemented, and tested through an optional class at I Am Zambia, available to women who had already graduated from the year-long I Am Zambia Academy program. A total of 18 women ages 18-24 chose to enroll in the course. There were a total of 10 lessons, taught over 20 class period. These lessons covered four main computational thinking frameworks: introduction to computational thinking, algorithmic thinking, pseudocode, and debugging. Knowledge retention was tested through the use of a CS educational tool, QuizIt, created by the CSI Lab of School of Computing, Informatics and Decision Systems Engineering at Arizona State University. Furthermore, pre and post tests were given to assess the successfulness of the curriculum in teaching students the aforementioned concepts. 14 of the 18 students successfully completed the pre and post test.
Limitations of this study and suggestions for how to improve this curriculum in order to extend it into a year long course are also presented at the conclusion of this paper.
ContributorsGriffin, Hadley Meryl (Author) / Hsiao, Sharon (Thesis director) / Mutsumi, Nakamura (Committee member) / Arts, Media and Engineering Sch T (Contributor) / Computer Science and Engineering Program (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05