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HackerHero is an educational game designed to teach children, especially those from marginalized backgrounds, computation thinking skills needed for STEAM fields. It also teaches children about social injustice. This project was focused on creating an audio visualization for an AI character within the HackerHero game. The audio visualization consisted of

HackerHero is an educational game designed to teach children, especially those from marginalized backgrounds, computation thinking skills needed for STEAM fields. It also teaches children about social injustice. This project was focused on creating an audio visualization for an AI character within the HackerHero game. The audio visualization consisted of a static silhouette of a face and a wave-like form to represent the mouth. Audio content analysis was performed on audio sampled from the character’s voice lines. Pitch and amplitude derived from the analysis was used to animate the character’s visual features such as it’s brightness, color, and mouth movement. The mouth’s movement and color was manipulated with the audio’s pitch. The lights of Wave were controlled by the amplitude of the audio. Design considerations were made to accommodate those with visual disabilities such as color blindness and epilepsy. Overall the final audio visualization satisfied the project sponsor and built upon existing audio visualization work. User feedback will be a necessity for improving the audio visualization in the future.

ContributorsNguyen, Joshep D (Author) / Chavez-Echaegaray, Helen (Thesis director) / Waggoner, Trae (Committee member) / Department of Psychology (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

A large section of United States citizens live far away from supermarkets and do not have<br/>an easy way to get to one. This portion of the population lives in an area called a food desert.<br/>Food deserts are geographic areas in which access to affordable, healthy food, such as fresh<br/>produce, is

A large section of United States citizens live far away from supermarkets and do not have<br/>an easy way to get to one. This portion of the population lives in an area called a food desert.<br/>Food deserts are geographic areas in which access to affordable, healthy food, such as fresh<br/>produce, is limited or completely nonexistent due to the absence of convenient grocery stores.<br/>Individuals living in food deserts are left to rely on convenience store snacks and fast food for<br/>their meals because they do not have access to a grocery store with fresh produce in their area.<br/>Unhealthy foods also lead to health issues, as people living in food deserts are typically at a<br/>higher risk of diet-related conditions, such as obesity, diabetes, and cardiovascular disease.<br/>Harvest, a sustainable farming network, is a smartphone application that teaches and guides<br/>people living in small spaces through the process of growing fresh, nutritious produce in their<br/>own homes. The app will guide users through the entire process of gardening, from seed to<br/>harvest. Harvest would give individuals living in food deserts an opportunity to access fresh<br/>produce that they currently can’t access. An overwhelming response based on our user<br/>discussion and market analysis revealed that our platform was in demand. Development of a<br/>target market, brand guide, and full lifecycle were beneficial during the second semester as<br/>Harvest moved forward. Through the development of a website, social media platform, and<br/>smartphone application, Harvest grew traction for our platform. Our social media accounts saw a<br/>1700% growth rate, and this wider audience was able to provide helpful feedback.

ContributorsBalamut, Hannah (Co-author) / Raimondo, Felix (Co-author) / Tobey, Anna (Co-author) / Byrne, Jared (Thesis director) / Satpathy, Asish (Committee member) / Morrison School of Agribusiness (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

A large section of United States citizens live far away from supermarkets and do not have an easy way to get to one. This portion of the population lives in an area called a food desert. Food deserts are geographic areas in which access to affordable, healthy food, such as

A large section of United States citizens live far away from supermarkets and do not have an easy way to get to one. This portion of the population lives in an area called a food desert. Food deserts are geographic areas in which access to affordable, healthy food, such as fresh produce, is limited or completely nonexistent due to the absence of convenient grocery stores. Individuals living in food deserts are left to rely on convenience store snacks and fast food for their meals because they do not have access to a grocery store with fresh produce in their area. Unhealthy foods also lead to health issues, as people living in food deserts are typically at a higher risk of diet-related conditions, such as obesity, diabetes, and cardiovascular disease. Harvest, a sustainable farming network, is a smartphone application that teaches and guides people living in small spaces through the process of growing fresh, nutritious produce in their own homes. The app will guide users through the entire process of gardening, from seed to harvest. Harvest would give individuals living in food deserts an opportunity to access fresh produce that they currently can’t access. An overwhelming response based on our user discussion and market analysis revealed that our platform was in demand. Development of a target market, brand guide, and full-lifecycle were beneficial during the second semester as Harvest moved forward. Through the development of a website, social media platform, and smartphone application, Harvest grew traction for our platform. Our social media accounts saw a 1700% growth rate, and this wider audience was able to provide helpful feedback.

ContributorsTobey, Anna Elisabeth (Co-author) / Raimondo, Felix (Co-author) / Balamut, Hannah (Co-author) / Byrne, Jared (Thesis director) / Givens, Jessica (Committee member) / Satpathy, Asish (Committee member) / School of Life Sciences (Contributor) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description

A large section of United States citizens live far away from supermarkets and do not have an easy way to get to one. This portion of the population lives in an area called a food desert. Food deserts are geographic areas in which access to affordable, healthy food, such as

A large section of United States citizens live far away from supermarkets and do not have an easy way to get to one. This portion of the population lives in an area called a food desert. Food deserts are geographic areas in which access to affordable, healthy food, such as fresh produce, is limited or completely nonexistent due to the absence of convenient grocery stores. Individuals living in food deserts are left to rely on convenience store snacks and fast food for their meals because they do not have access to a grocery store with fresh produce in their area. Unhealthy foods also lead to health issues, as people living in food deserts are typically at a higher risk of diet-related conditions, such as obesity, diabetes, and cardiovascular disease. Harvest, a sustainable farming network, is a smartphone application that teaches and guides people living in small spaces through the process of growing fresh, nutritious produce in their own homes. The app will guide users through the entire process of gardening, from seed to harvest. Harvest would give individuals living in food deserts an opportunity to access fresh produce that they currently can’t access. An overwhelming response based on our user discussion and market analysis revealed that our platform was in demand. Development of a target market, brand guide, and full lifecycle were beneficial during the second semester as Harvest moved forward. Through the development of a website, social media platform, and smartphone application, Harvest grew traction for our platform. Our social media accounts saw a 1700% growth rate, and this wider audience was able to provide helpful feedback.

ContributorsRaimondo, Felix Ryan (Co-author) / Tobey, Anna (Co-author) / Balahmut, Hannah (Co-author) / Byrne, Jared (Thesis director) / Satpathy, Asish (Committee member) / Human Systems Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description
A primary goal in computer science is to develop autonomous systems. Usually, we provide computers with tasks and rules for completing those tasks, but what if we could extend this type of system to physical technology as well? In the field of programmable matter, researchers are tasked with developing synthetic

A primary goal in computer science is to develop autonomous systems. Usually, we provide computers with tasks and rules for completing those tasks, but what if we could extend this type of system to physical technology as well? In the field of programmable matter, researchers are tasked with developing synthetic materials that can change their physical properties \u2014 such as color, density, and even shape \u2014 based on predefined rules or continuous, autonomous collection of input. In this research, we are most interested in particles that can perform computations, bond with other particles, and move. In this paper, we provide a theoretical particle model that can be used to simulate the performance of such physical particle systems, as well as an algorithm to perform expansion, wherein these particles can be used to enclose spaces or even objects.
ContributorsLaff, Miles (Author) / Richa, Andrea (Thesis director) / Bazzi, Rida (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05
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Description
Investment real estate is unique among similar financial instruments by nature of each property's internal complexities and interaction with the external economy. Where a majority of tradable assets are static goods within a dynamic market, real estate investments are dynamic goods within a dynamic market. Furthermore, investment real estate, particularly

Investment real estate is unique among similar financial instruments by nature of each property's internal complexities and interaction with the external economy. Where a majority of tradable assets are static goods within a dynamic market, real estate investments are dynamic goods within a dynamic market. Furthermore, investment real estate, particularly commercial properties, not only interacts with the surrounding economy, it reflects it. Alive with tenancy, each and every commercial investment property provides a microeconomic view of businesses that make up the local economy. Management of commercial investment real estate captures this economic snapshot in a unique abundance of untapped statistical data. While analysis of such data is undeniably valuable, the efforts involved with this process are time consuming. Given this unutilized potential our team has develop proprietary software to analyze this data and communicate the results automatically though and easy to use interface. We have worked with a local real estate property management and ownership firm, Reliance Management, to develop this system through the use of their current, historical, and future data. Our team has also built a relationship with the executives of Reliance Management to review functionality and pertinence of the system we have dubbed, Reliance Dashboard.
ContributorsBurton, Daryl (Co-author) / Workman, Jack (Co-author) / LePine, Marcie (Thesis director) / Atkinson, Robert (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Management (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
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Description
The rationale behind this thesis is grounded in nearly two years of experience interning at UTC Aerospace Systems (UTAS). I was able to gain a wide exposure to different facets of the supply chain management organization during my time as an intern, from strategic sourcing and commodity management, to tactical

The rationale behind this thesis is grounded in nearly two years of experience interning at UTC Aerospace Systems (UTAS). I was able to gain a wide exposure to different facets of the supply chain management organization during my time as an intern, from strategic sourcing and commodity management, to tactical procurement and supplier development. In each of these respective areas, I observed a variety of initiatives that did not reach their full potential because employees were not provided the tools for success. One of these areas in particular is the New Product Introduction (NPI) process management, in which there is not a standard process for program managers to follow from start to finish. I saw this as an opportunity to hone in the scope of my thesis research and experience at UTAS to improve a process and provide standard work and tools for it to be consistently executed. The current state process is not formalized \u2014 it merely tracks certain metrics that are not necessarily applicable to the overall health of the program because they do not monitor the progress of the program. This resulted in heavy costs incurred from inadequate planning, a skewed timeline, and customer frustration. The aim of the desired state NPI process is to gather cross-functional expertise and weigh in, adhere to a strict entry to market timeline, and increase customer satisfaction, all while minimizing costs incurred throughout the life of the program. The dominant output of this project will be a cross-functional flow chart of the process for each group to follow and standard work and tools to support the process across a variety of NPI program applications.
ContributorsThorn, Taylor Aiko Marie (Author) / Brown, Steven (Thesis director) / Arrigoni, Gregory (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / Department of Supply Chain Management (Contributor) / W. P. Carey School of Business (Contributor)
Created2015-05
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Description
The objective of this research is to determine an approach for automating the learning of the initial lexicon used in translating natural language sentences to their formal knowledge representations based on lambda-calculus expressions. Using a universal knowledge representation and its associated parser, this research attempts to use word alignment techniques

The objective of this research is to determine an approach for automating the learning of the initial lexicon used in translating natural language sentences to their formal knowledge representations based on lambda-calculus expressions. Using a universal knowledge representation and its associated parser, this research attempts to use word alignment techniques to align natural language sentences to the linearized parses of their associated knowledge representations in order to learn the meanings of individual words. The work includes proposing and analyzing an approach that can be used to learn some of the initial lexicon.
ContributorsBaldwin, Amy Lynn (Author) / Baral, Chitta (Thesis director) / Vo, Nguyen (Committee member) / Industrial, Systems (Contributor) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
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Description
We were driven by the question: what is happening to the popularity of Major League Baseball? In order to answer this question we compared the league structure of Major League Baseball with that of the National Football League. We were able to speak with five former or current members of

We were driven by the question: what is happening to the popularity of Major League Baseball? In order to answer this question we compared the league structure of Major League Baseball with that of the National Football League. We were able to speak with five former or current members of the respective leagues in order to gain some insight into how the two leagues operate. The main focus of our research was around the payroll structures of the two leagues as well as their revenue sharing policies. In the end, we discovered that Major League Baseball is becoming highly regionalized. The sport is still growing in popularity in terms of revenue and fan involvement, but it is becoming less popular on a national stage. The league is benefitting greatly from factors like the increasing importance of "TiVo proof programming" and a lack of competition. Each league is very different in its own right. While the NFL promotes a perception of competitive balance, Major League Baseball can be plagued by the negative perception it creates surrounding some of its smaller market teams.
ContributorsHeath, Cameron (Co-author) / Linamen, John (Co-author) / Eaton, John (Thesis director) / Mokwa, Michael (Committee member) / Barrett, The Honors College (Contributor) / WPC Graduate Programs (Contributor) / Department of Marketing (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / School of Accountancy (Contributor)
Created2015-05
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Description
Bots tamper with social media networks by artificially inflating the popularity of certain topics. In this paper, we define what a bot is, we detail different motivations for bots, we describe previous work in bot detection and observation, and then we perform bot detection of our own. For our bot

Bots tamper with social media networks by artificially inflating the popularity of certain topics. In this paper, we define what a bot is, we detail different motivations for bots, we describe previous work in bot detection and observation, and then we perform bot detection of our own. For our bot detection, we are interested in bots on Twitter that tweet Arabic extremist-like phrases. A testing dataset is collected using the honeypot method, and five different heuristics are measured for their effectiveness in detecting bots. The model underperformed, but we have laid the ground-work for a vastly untapped focus on bot detection: extremist ideal diffusion through bots.
ContributorsKarlsrud, Mark C. (Author) / Liu, Huan (Thesis director) / Morstatter, Fred (Committee member) / Barrett, The Honors College (Contributor) / Computing and Informatics Program (Contributor) / Computer Science and Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05