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- Member of: Barrett, The Honors College Thesis/Creative Project Collection
Description
Each year, a select few minor league baseball players are chosen to attend the Arizona Fall League, a development league within Major League Baseball that hones the next generation of players, coaches, managers, and even umpires. These players make up the top talent currently in the minor leagues from each of Major League Baseball's 30 organizations. Of the thousands in the minors, just seven players from each organization can go to this extra six-week season, and learn to play alongside the best future talent the sport has to offer. On Deck: Inside the Arizona Fall League is a short documentary that looks at some of these players, as they continue their baseball journey that they hope leads them one day to the Majors. The documentary can be viewed online at https://youtu.be/jkggYiDtn14 or nicolesheraefox.com
ContributorsFox, Nicole Sherae (Author) / Lodato, Mark (Thesis director) / Kurland, Brett (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This paper presents work that was done to create a system capable of facial expression recognition (FER) using deep convolutional neural networks (CNNs) and test multiple configurations and methods. CNNs are able to extract powerful information about an image using multiple layers of generic feature detectors. The extracted information can be used to understand the image better through recognizing different features present within the image. Deep CNNs, however, require training sets that can be larger than a million pictures in order to fine tune their feature detectors. For the case of facial expression datasets, none of these large datasets are available. Due to this limited availability of data required to train a new CNN, the idea of using naïve domain adaptation is explored. Instead of creating and using a new CNN trained specifically to extract features related to FER, a previously trained CNN originally trained for another computer vision task is used. Work for this research involved creating a system that can run a CNN, can extract feature vectors from the CNN, and can classify these extracted features. Once this system was built, different aspects of the system were tested and tuned. These aspects include the pre-trained CNN that was used, the layer from which features were extracted, normalization used on input images, and training data for the classifier. Once properly tuned, the created system returned results more accurate than previous attempts on facial expression recognition. Based on these positive results, naïve domain adaptation is shown to successfully leverage advantages of deep CNNs for facial expression recognition.
ContributorsEusebio, Jose Miguel Ang (Author) / Panchanathan, Sethuraman (Thesis director) / McDaniel, Troy (Committee member) / Venkateswara, Hemanth (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This project was centered around designing a processor model (using the C programming language) based on the Coldfire computer architecture that will run on third party software known as Open Virtual Platforms. The end goal is to have a fully functional processor that can run Coldfire instructions and utilize peripheral devices in the same way as the hardware used in the embedded systems lab at ASU. This project would cut down the substantial amount of time students spend commuting to the lab. Having the processor directly at their disposal would also encourage them to spend more time outside of class learning the hardware and familiarizing themselves with development on an embedded micro-controller. The model will be accurate, fast and reliable. These aspects will be achieved through rigorous unit testing and use of the OVP platform which provides instruction accurate simulations at hundreds of MIPS (million instructions per second) for the specified model. The end product was able to accurately simulate a subset of the Coldfire instructions at very high rates.
ContributorsDunning, David Connor (Author) / Burger, Kevin (Thesis director) / Meuth, Ryan (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2014-12
Description
This paper presents the design and evaluation of a haptic interface for augmenting human-human interpersonal interactions by delivering facial expressions of an interaction partner to an individual who is blind using a visual-to-tactile mapping of facial action units and emotions. Pancake shaftless vibration motors are mounted on the back of a chair to provide vibrotactile stimulation in the context of a dyadic (one-on-one) interaction across a table. This work explores the design of spatiotemporal vibration patterns that can be used to convey the basic building blocks of facial movements according to the Facial Action Unit Coding System. A behavioral study was conducted to explore the factors that influence the naturalness of conveying affect using vibrotactile cues.
ContributorsBala, Shantanu (Author) / Panchanathan, Sethuraman (Thesis director) / McDaniel, Troy (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / Department of Psychology (Contributor)
Created2014-05
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 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
Description
This project, which consists of a review article and an applied creative project, proposes mirror neurons as being a physiological mechanism for motor imagery. The review article highlights similarities between motor imagery research and research on mirror neurons. The research is roughly divided into three types of studies: neuroimaging studies, transcranial magnetic stimulation (TMS) and electromyography (EMG) studies, and electroencephalography (EEG) studies. The review also discusses the associative hypothesis of mirror neuron origin as support for the hypothesis and concludes with an assessment of conflicting research and the limitations of the hypothesis. The applied creative project is an instructional brochure, aimed at anyone who teaches motor skills, such as dance teachers or sports coaches. The brochure takes the academic content of the review and presents it in a visually pleasing, reader-friendly fashion in an effort to educate the intended audience and make the research more accessible. The brochure also prescribes research-based suggestions for how to use motor imagery during teaching sessions and how to get the best benefits from it.
ContributorsNgai, Valerie Christina (Author) / Hoffner, Kristin (Thesis director) / Glenberg, Arthur (Committee member) / Barrett, The Honors College (Contributor) / School of Nutrition and Health Promotion (Contributor) / Department of Psychology (Contributor)
Created2015-05
Description
Covering subsequences with sets of permutations arises in many applications, including event-sequence testing. Given a set of subsequences to cover, one is often interested in knowing the fewest number of permutations required to cover each subsequence, and in finding an explicit construction of such a set of permutations that has size close to or equal to the minimum possible. The construction of such permutation coverings has proven to be computationally difficult. While many examples for permutations of small length have been found, and strong asymptotic behavior is known, there are few explicit constructions for permutations of intermediate lengths. Most of these are generated from scratch using greedy algorithms. We explore a different approach here. Starting with a set of permutations with the desired coverage properties, we compute local changes to individual permutations that retain the total coverage of the set. By choosing these local changes so as to make one permutation less "essential" in maintaining the coverage of the set, our method attempts to make a permutation completely non-essential, so it can be removed without sacrificing total coverage. We develop a post-optimization method to do this and present results on sequence covering arrays and other types of permutation covering problems demonstrating that it is surprisingly effective.
ContributorsMurray, Patrick Charles (Author) / Colbourn, Charles (Thesis director) / Czygrinow, Andrzej (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Department of Physics (Contributor)
Created2014-12
Description
The Roller Derby Club at Arizona State University became a student organization in the fall of 2013. They became a practicing team known as the Derby Devils in the spring of 2014. This project documents the creation and development a collegiate roller derby team as they go from a student organization to an athletic team. Collegiate roller derby is still in its infant stages and therefore the purpose of this project is to provide a guide for future collegiate roller derby teams as well as other athletic teams.
ContributorsLee, Alisa Yulim (Author) / Looser, Devoney (Thesis director) / Hultsman, Wendy (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / Department of Chemistry and Biochemistry (Contributor) / W. P. Carey School of Business (Contributor)
Created2014-12
Description
The U.S. sports market is and has been dominated by professional football, basketball, and baseball leagues. U.S. interest in soccer has exploded as the sport looks to establish its position in this saturated sports market. As a general consensus, Major League Soccer (MLS), the recognized professional soccer league in both the U.S. and Canada, is expecting increased growth following the 2014 FIFA World Cup. My goal is to track that growth from June 2014 and to monitor the league's responses to that growth. How do league executives manage growth? I am curious about the background finances- especially when heated negotiations are expected heading into a new collective bargaining agreement (CBA). The compelling question I am looking to answer is: How will the MLS market respond to growth in a highly saturated U.S. sports market, particularly after the 2014 FIFA World Cup?
ContributorsKagen, Samuel Aaron (Author) / Drake, Philip (Thesis director) / Cassidy, Nancy (Committee member) / Barrett, The Honors College (Contributor) / W. P. Carey School of Business (Contributor) / School of Accountancy (Contributor)
Created2015-05
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 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