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- Creators: Barrett, The Honors College
Description
This paper describes the research done to quantify the relationship between external air temperature and energy consumption and internal air temperature and energy consumption. The study was conducted on a LEED Gold certified building, College Avenue Commons, located on Arizona State University's Tempe campus. It includes information on the background of previous studies in the area, some that agree with the research hypotheses and some that take a different path. Real-time data was collected hourly for energy consumption and external air temperature. Intermittent internal air temperature was collected by undergraduate researcher, Charles Banke. Regression analysis was used to prove two research hypotheses. The authors found no correlation between external air temperature and energy consumption, nor did they find a relationship between internal air temperature and energy consumption. This paper also includes recommendations for future work to improve the study.
ContributorsBanke, Charles Michael (Author) / Chong, Oswald (Thesis director) / Parrish, Kristen (Committee member) / Mechanical and Aerospace Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Sagebrush Coffee is a small business in Chandler, Arizona that purchases green beans, roasts them in small batches for quality, and ships fresh, gourmet roasted coffee beans across the nation. Deciding which coffee beans to buy and roast is one of the most crucial business decisions Sagebrush and other gourmet coffee roasters face. Further complicating this decision is the fact that coffee is a crop, and like all crops, has a specific growing season and the exact same product cannot usually be ordered from year to year, even if it proves to be successful. The goal of this research is to use data analytics and visualization to help Sagebrush make better purchasing decisions by identifying consumer purchasing trends and providing a recommendation for their portfolio mix. In the end, I found that Latin American coffees are popular with both returning and first-time customers, but a specific country of origin does not appear to be associated with the top coffee producing countries. Additionally, December is a critical month for Sagebrush and Sagebrush should make sure to target the states with the most sales: California, Pennsylvania, and New York. Arizona has growth potential as it is not one of the top three locations, despite the presence of a physical store. Also included in the following report is a portfolio recommendation suggesting how many of each product based on region, processing type, and roast level to carry in inventory.
ContributorsBlue, Jessica Morgan (Author) / Kellso, James (Thesis director) / Davila, Eddie (Committee member) / Department of Information Systems (Contributor) / Economics Program in CLAS (Contributor) / Department of Supply Chain Management (Contributor) / Morrison School of Agribusiness (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This project analyzes the tweets from the 2016 US Presidential Candidates' personal Twitter accounts. The goal is to define distinct patterns and differences between candidates and parties use of social media as a platform. The data spans the period of September 2015 to March 2016, which was during the primary races for the Republicans and Democrats. The overall purpose of this project is to contribute to finding new ways of driving value from social media, in particular Twitter.
ContributorsMortimer, Schuyler Kenneth (Author) / Simon, Alan (Thesis director) / Mousavi, Seyedreza (Committee member) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
History shows that baseball and media have a very close relationship, but the advantages of social media are proving to come at a cost to traditional media (The Business Insider). Baseball was invented around the same time the the penny press brought newspapers to a larger audience in the 1830s (Brazeal 405), followed by radio entering its discovery years as it carried games to people who lived far away from ballparks. Radio also brought games to life to women and children, as well as those who owned cars (Walker, 7). In 1939, baseball was aired on television for the first time (Koppett). By 1991 when the World Wide Web was brought to the public, baseball was ready to take on digital media. Take it to Twitter, Baseball studies the relationship between baseball and social media, focusing specifically on Twitter. Working with social media presents unique opportunities to reach, interact and engage with younger demographics. Using 2,683 Tweets collected through a history provided by 4 MLB teams, insights like Tweet interactions, Tweet success, media type, and categorized Tweet types are used to understand what it means to use social media well, and why it would come at a cost to traditional media. Content containing promotional material, specifically with giveaways, was found to be more successful in comparison to player and team focused Tweets. Levels of activity were determined and factored into how it relates to Tweet Success. Average Retweets per Retweet were also calculated to determine what results an average Tweet of a specific type should expect to receive. Overall, baseball will continue using any form of media that benefits their conglomerate looking for profits. With so many sponsors to satisfy, baseball will want to keep every tool at their disposal. However, with social media providing deeper analytics and insights into who their fanbase is, as well as allowing them to reach who they want their fanbase to be, it could come at a cost to traditional media.
ContributorsRex, Stevi Danielle (Author) / Doig, Steve (Thesis director) / Dawson, Clifton (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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 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
Description
With the advent of sophisticated computer technology, we increasingly see the use of computational techniques in the study of problems from a variety of disciplines, including the humanities. In a field such as poetry, where classic works are subject to frequent re-analysis over the course of years, decades, or even centuries, there is a certain demand for fresh approaches to familiar tasks, and such breaks from convention may even be necessary for the advancement of the field. Existing quantitative studies of poetry have employed computational techniques in their analyses, however, there remains work to be done with regards to the deployment of deep neural networks on large corpora of poetry to classify portions of the works contained therein based on certain features. While applications of neural networks to social media sites, consumer reviews, and other web-originated data are common within computational linguistics and natural language processing, comparatively little work has been done on the computational analysis of poetry using the same techniques. In this work, I begin to lay out the first steps for the study of poetry using neural networks. Using a convolutional neural network to classify author birth date, I was able to not only extract a non-trivial signal from the data, but also identify the presence of clustering within by-author model accuracy. While definitive conclusions about the cause of this clustering were not reached, investigation of this clustering reveals immense heterogeneity in the traits of accurately classified authors. Further study may unpack this clustering and reveal key insights about how temporal information is encoded in poetry. The study of poetry using neural networks remains very open but exhibits potential to be an interesting and deep area of work.
ContributorsGoodloe, Oscar Laurence (Author) / Nishimura, Joel (Thesis director) / Broatch, Jennifer (Committee member) / School of Mathematical and Natural Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The beautiful game is unpredictable. Arguably half of soccer is entirely out of our control, instead being determined by a simple concept: luck. But what of the other 50%? Ultimately, the goal of the rapidly-advancing technologies and analytics in on-field sports performance is to maximize the elements that we \u2014 the coaches, players, decision-makers, and analysts \u2014 truly control. Once perceived as too mathematical and systemized, contradicting coaches' intuitions, sports sciences are burgeoning in the sports arena both in applied and mainstream popularity. While the industry has its critics and is far shy of its pinnacle, its advancements and successes cannot be ignored. From the training ground to match day decision-making, analytics are embedded in soccer and sport. Technology and analytics are vastly utilized throughout sporting organizations across a myriad of sports and purposes: scouting and drafting, fan experience, ticketing, etc. However, while these areas must be addressed in discussing the success of analytics in assessing situations and reducing uncertainty, my central thesis relates to the technological capabilities and corresponding analytical tools utilized to identify, assess, and improve on-field soccer performance: match analysis. This paper's core focuses on optimizing performance in soccer players in three specific areas of performance: technical abilities and tactics, physiology, and neuroscience.
ContributorsHeckendorn, Jason Farrell (Author) / Eaton, John (Thesis director) / Ostrom, Amy (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor) / W. P. Carey School of Business (Contributor) / Department of Management (Contributor)
Created2014-05
Visualizing the Embryo: Establishing Procedures for Digital image Production with the Embryo Project
Description
The Embryo Project (EP) Encyclopedia is an online database that has consolidated hundreds of development-related research articles, with subcategories addressing the context of such research. These articles are written by undergraduate students, graduate students, and professionals in the fields of biology, history, and other fields, and are intended for a diverse audience of readers from both biology and non-biology related backgrounds. As the EP addresses a public audience, it is imperative to utilize all possible means to share the information that each article covers. Until 2013, the EP Encyclopedia did not present images in articles as no formal protocol for image development existed. I have created an image style guide that outlines the basic steps of creating and submitting an image that can complement an EP article and can enhance a reader's understanding of the discussed concept. In creating this style guide, I investigated similar protocols used by other scientific journals and medical professionals. I also used different programs and based my style guide off of the procedures I used in Adobe Illustrator CS6.
ContributorsHamidi, Neekta (Author) / Maienschein, Jane (Thesis director) / Crowe, Nathan (Committee member) / O'Neil, Erica (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2013-05
Description
Monocular is a user engagement application that offers a website owner the opportunity to track user behavior and use the data to better understand the site's strengths and weaknesses in terms of user satisfaction and motivation. This data allows the customer to make improvements to a website, resulting in a better user experience and potential for an improved bottom line.
ContributorsHooke, Wade (Co-author) / Ortiz-Monasterio, Diego (Co-author) / Clark, Joseph (Thesis director) / Prince, Linda (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / W. P. Carey School of Business (Contributor)
Created2014-05
Description
Basketball has been evolving since its inception during the winter of 1891. A myriad of factors have played into its growth and evolution over time, among them being the subject of this paper: the integration of advanced statistics and analytics. Taking inspiration from baseball's analytics revolution, a sport that is vastly different from basketball, coaches and statisticians began to innovate new ways to evaluate teams and players outside of the constraints of the traditional basketball box score. In recent decades, their work has spread throughout the basketball community, and now both fans and team front offices alike have found value in the application of empirical analysis to professional basketball. The effects of their work have emerged with the passage of time, and can be seen both on and off the court. Through advanced analytics, players and teams have shifted their focus towards efficient play, which has resulted in the exploitation of the very geometry of the basketball court itself. Recent technological innovations look to push this trend into a new era, and hint at the future of the sports fan experience. In short, basketball has not had a strong relationship with statistics. Early basketball statistics were born out of convenience, and over time the statisticians of the sport introduced new ways to quantify team and player performances. This paper looks to examine this progression over time, and show that advanced statistics and analytics have firmly planted themselves in the way basketball is viewed, evaluated, and covered.
ContributorsDiego, Jonathan Patrick Long (Author) / Kurland, Brett (Thesis director) / Reed, Sada (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05