ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.
Displaying 1 - 10 of 88
Description
The increasing popularity of Twitter renders improved trustworthiness and relevance assessment of tweets much more important for search. However, given the limitations on the size of tweets, it is hard to extract measures for ranking from the tweet's content alone. I propose a method of ranking tweets by generating a reputation score for each tweet that is based not just on content, but also additional information from the Twitter ecosystem that consists of users, tweets, and the web pages that tweets link to. This information is obtained by modeling the Twitter ecosystem as a three-layer graph. The reputation score is used to power two novel methods of ranking tweets by propagating the reputation over an agreement graph based on tweets' content similarity. Additionally, I show how the agreement graph helps counter tweet spam. An evaluation of my method on 16~million tweets from the TREC 2011 Microblog Dataset shows that it doubles the precision over baseline Twitter Search and achieves higher precision than current state of the art method. I present a detailed internal empirical evaluation of RAProp in comparison to several alternative approaches proposed by me, as well as external evaluation in comparison to the current state of the art method.
ContributorsRavikumar, Srijith (Author) / Kambhampati, Subbarao (Thesis advisor) / Davulcu, Hasan (Committee member) / Liu, Huan (Committee member) / Arizona State University (Publisher)
Created2013
Description
Automating aspects of biocuration through biomedical information extraction could significantly impact biomedical research by enabling greater biocuration throughput and improving the feasibility of a wider scope. An important step in biomedical information extraction systems is named entity recognition (NER), where mentions of entities such as proteins and diseases are located within natural-language text and their semantic type is determined. This step is critical for later tasks in an information extraction pipeline, including normalization and relationship extraction. BANNER is a benchmark biomedical NER system using linear-chain conditional random fields and the rich feature set approach. A case study with BANNER locating genes and proteins in biomedical literature is described. The first corpus for disease NER adequate for use as training data is introduced, and employed in a case study of disease NER. The first corpus locating adverse drug reactions (ADRs) in user posts to a health-related social website is also described, and a system to locate and identify ADRs in social media text is created and evaluated. The rich feature set approach to creating NER feature sets is argued to be subject to diminishing returns, implying that additional improvements may require more sophisticated methods for creating the feature set. This motivates the first application of multivariate feature selection with filters and false discovery rate analysis to biomedical NER, resulting in a feature set at least 3 orders of magnitude smaller than the set created by the rich feature set approach. Finally, two novel approaches to NER by modeling the semantics of token sequences are introduced. The first method focuses on the sequence content by using language models to determine whether a sequence resembles entries in a lexicon of entity names or text from an unlabeled corpus more closely. The second method models the distributional semantics of token sequences, determining the similarity between a potential mention and the token sequences from the training data by analyzing the contexts where each sequence appears in a large unlabeled corpus. The second method is shown to improve the performance of BANNER on multiple data sets.
ContributorsLeaman, James Robert (Author) / Gonzalez, Graciela (Thesis advisor) / Baral, Chitta (Thesis advisor) / Cohen, Kevin B (Committee member) / Liu, Huan (Committee member) / Ye, Jieping (Committee member) / Arizona State University (Publisher)
Created2013
Description
This project features three new pieces for clarinet commissioned from three different composers. Two are for unaccompanied clarinet and one is for clarinet, bass clarinet, and laptop. These pieces are Storm's a Comin' by Chris Burton, Light and Shadows by Theresa Martin, and My Own Agenda by Robbie McCarthy. These three solos challenge the performer in various ways including complex rhythm, use of extended techniques such as growling, glissando, and multiphonics, and the incorporation of technology into a live performance. In addition to background information, a performance practice guide has also been included for each of the pieces. This guide provides recommendations and suggestions for future performers wishing to study and perform these works. Also included are transcripts of interviews done with each of the composers as well as full scores for each of the pieces. Accompanying this document are recordings of each of the three pieces, performed by the author.
ContributorsVaughan, Melissa Lynn (Author) / Spring, Robert (Thesis advisor) / Micklich, Albie (Committee member) / Gardner, Joshua (Committee member) / Hill, Gary (Committee member) / Feisst, Sabine (Committee member) / Arizona State University (Publisher)
Created2013
Description
A common concern among musical performers in today'’s musical market pertains to their capacity to adapt to the constantly changing climate of the music business. This document focuses on one aspect of the development of a sustainable, entrepreneurship skill set: the production of a recording. While producing the recording Chocolates, the author examined and documented the multiplicity of skills encompassed with a recording project. The first part of the document includes a discussion of various aspects of the recording project, Chocolates, through an entrepreneurial lens, and an evaluation of the skill sets acquired through the recording process. Additionally, the inspiration and relevance behind the recording project and the process of collaboration between the two composers from whom I commissioned new compositions, Noah Taylor and James Grant, and myself is considered. Finally, I describe the recording and editing processes, including the planning involved within each process, how I achieved the final product, and the entrepreneurial skills involved. The second portion of this document examines a broad range of applications of entrepreneurship, marketing, and career management skills not only within the confines of this particular project, but also in relation to the overall sustainability of a twenty-–first century music-–performing career.
ContributorsStuckemeyer, Mary (Author) / Micklich, Albie (Thesis advisor) / Carpenter, Ellon (Committee member) / Hill, Gary (Committee member) / Schuring, Martin (Committee member) / Spring, Robert (Committee member) / Arizona State University (Publisher)
Created2013
Description
There are a significant number of musical compositions for violin by composers who used folk songs and dances of various cultures in their music, including works by George Enescu, Béla Bartók and György Ligeti. Less known are pieces that draw on the plethora of melodies and rhythms from Turkey. The purpose of this paper is to help performers become more familiar with two such compositions: Fazil Say's Sonata for Violin and Piano and Cleopatra for Solo Violin. Fazil Say (b. 1970) is considered to be a significant, contemporary Turkish composer. Both of the works discussed in this document simulate traditional "Eastern" instruments, such as the kemenҫe, the baðlama, the kanun and the ud. Additionally, both pieces use themes from folk melodies of Turkey, Turkish dance rhythms and Arabian scales, all framed within traditional structural techniques, such as ostinato bass and the fughetta. Both the Sonata for Violin and Piano and Cleopatra are enormously expressive and musically interesting works, demanding virtuosity and a wide technical range. Although this document does not purport to be a full theoretical analysis, by providing biographical information, analytical descriptions, notes regarding interpretation, and suggestions to assist performers in overcoming technical obstacles, the writer hopes to inspire other violinists to consider learning and performing these works.
ContributorsKalantzi, Panagiota (Author) / Jiang, Danwen (Thesis advisor) / Hill, Gary (Committee member) / Rogers, Rodney (Committee member) / Rotaru, Catalin (Committee member) / Arizona State University (Publisher)
Created2013
Description
The purpose of the paper is to outline the process that was used to write a reduction for Henry Brant's Concerto for Alto Saxophone and Orchestra, to describe the improvements in saxophone playing since the premiere of the piece, and to demonstrate the necessity of having a reduction in the process of learning a concerto. The Concerto was inspired by internationally known saxophonist, Sigurd Rascher, who demonstrated for Brant the extent of his abilities on the saxophone. These abilities included use of four-octave range and two types of extended techniques: slap-tonguing and flutter-tonguing. Brant incorporated all three elements in his Concerto, and believed that only Rascher had the command over the saxophone needed to perform the piece. To prevent the possibility of an unsuccessful performance, Brant chose to make the piece unavailable to saxophonists by leaving the Concerto without a reduction. Subsequently, there were no performances of this piece between 1953 and 2001. In 2011, the two directors of Brant's Estate decided to allow for a reduction to be written for the piece so that it would become more widely available to saxophonists.
ContributorsAmes, Elizabeth (Pianist) (Author) / Ryan, Russell (Thesis advisor) / Levy, Benjamin (Committee member) / Hill, Gary (Committee member) / Campbell, Andrew (Committee member) / Arizona State University (Publisher)
Created2013
Description
The integration of yoga into the music curriculum has the potential of offering many immediate and life-long benefits to musicians. Yoga can help address issues such as performance anxiety and musculoskeletal problems, and enhance focus and awareness during musical practice and performance. Although the philosophy of yoga has many similarities to the process of learning a musical instrument, the benefits of yoga for musicians is a topic that has gained attention only recently. This document explores several ways in which the practice and philosophy of yoga can be fused with saxophone pedagogy as one way to prepare students for a healthy and successful musical career. A six-week study at Arizona State University was conducted to observe the effects of regular yoga practice on collegiate saxophone students. Nine participants attended a sixty-minute "yoga for musicians" class twice a week. Measures included pre- and post- study questionnaires as well as personal journals kept throughout the duration of the study. These self-reported results showed that yoga had positive effects on saxophone playing. It significantly increased physical comfort and positive thinking, and improved awareness of habitual patterns and breath control. Student participants responded positively to the idea of integrating such a course into the music curriculum. The integration of yoga and saxophone by qualified professionals could also be a natural part of studio class and individual instruction. Carrie Koffman, professor of saxophone at The Hartt School, University of Hartford, has established one strong model for the combination of these disciplines. Her methods and philosophy, together with the basics of Western-style hatha yoga, clinical reports on performance injuries, and qualitative data from the ASU study are explored. These inquiries form the foundation of a new model for integrating yoga practice regularly into the saxophone studio.
ContributorsAdams, Allison Dromgold (Author) / Norton, Kay (Thesis advisor) / Hill, Gary (Committee member) / McAllister, Timothy (Committee member) / Micklich, Albie (Committee member) / Standley, Eileen (Committee member) / Arizona State University (Publisher)
Created2012
Description
Nino Rota was a prolific composer of twentieth-century film and concert music, including the Concerto for bassoon and orchestra in b-flat major. Composing over 150 film scores for directors such as Federico Fellini, Francis Ford Coppola, Henry Cass, King Vidor and Franco Zeffirelli, Rota received distinguished acclaim from several film institutions, professional film reviewers and film music experts for his contributions to the art form. Rota also composed a great deal of diverse repertoire for the concert stage (ballet, opera, incidental music, concerti, symphonies, as well as several chamber works). The purpose of this analysis is to emphasize the expressive charm and accessibility of his concerto in the bassoon repertoire. The matter of this analysis of the Concerto for bassoon and orchestra concentrates on a single concerto from his concert repertoire completed in 1977, two years before Rota's death. The discussion includes a brief introduction to Nino Rota and his accomplishments as a musician and film composer, and a detailed outline of the motivic and structural events of contained in each movement of the concerto. The shape of the work is analyzed both in detailed discussion and by the use of charts, including reduced score figures of excerpts of the piece, which illustrate significant thematic events and relationships. The analysis reveals how Rota uses lyrical thematic material in a consistently, and he develops the music by creating melodic sequences and varied repetitions of thematic material. He is comfortable writing several forms, as indicated by the first movement, Toccata - a sonata-type form; the second movement, Recitativo, opening with a cadenza and followed by a theme and brief development; and the third movement, a theme (Andantino) and set of six variations. Rota's writing also includes contrapuntal techniques such as imitation, inversion, retrograde and augmentation, all creating expressive interest during thematic development. It is clear from the discussion that Rota is an accomplished, well-studied and lyrical composer. This analysis will inform the bassoonist and conductor, and aid in developing a fondness for the Concerto for bassoon and orchestra and perhaps other concert works.
ContributorsKluesener, Joseph (Author) / Micklich, Albie (Thesis advisor) / Hill, Gary (Committee member) / Levy, Benjamin (Committee member) / Russell, Timothy (Committee member) / Schuring, Martin (Committee member) / Arizona State University (Publisher)
Created2012
Description
Data mining is increasing in importance in solving a variety of industry problems. Our initiative involves the estimation of resource requirements by skill set for future projects by mining and analyzing actual resource consumption data from past projects in the semiconductor industry. To achieve this goal we face difficulties like data with relevant consumption information but stored in different format and insufficient data about project attributes to interpret consumption data. Our first goal is to clean the historical data and organize it into meaningful structures for analysis. Once the preprocessing on data is completed, different data mining techniques like clustering is applied to find projects which involve resources of similar skillsets and which involve similar complexities and size. This results in "resource utilization templates" for groups of related projects from a resource consumption perspective. Then project characteristics are identified which generate this diversity in headcounts and skillsets. These characteristics are not currently contained in the data base and are elicited from the managers of historical projects. This represents an opportunity to improve the usefulness of the data collection system for the future. The ultimate goal is to match the product technical features with the resource requirement for projects in the past as a model to forecast resource requirements by skill set for future projects. The forecasting model is developed using linear regression with cross validation of the training data as the past project execution are relatively few in number. Acceptable levels of forecast accuracy are achieved relative to human experts' results and the tool is applied to forecast some future projects' resource demand.
ContributorsBhattacharya, Indrani (Author) / Sen, Arunabha (Thesis advisor) / Kempf, Karl G. (Thesis advisor) / Liu, Huan (Committee member) / Arizona State University (Publisher)
Created2013
Description
Contemporary online social platforms present individuals with social signals in the form of news feed on their peers' activities. On networks such as Facebook, Quora, network operator decides how that information is shown to an individual. Then the user, with her own interests and resource constraints selectively acts on a subset of items presented to her. The network operator again, shows that activity to a selection of peers, and thus creating a behavioral loop. That mechanism of interaction and information flow raises some very interesting questions such as: can network operator design social signals to promote a particular activity like sustainability, public health care awareness, or to promote a specific product? The focus of my thesis is to answer that question. In this thesis, I develop a framework to personalize social signals for users to guide their activities on an online platform. As the result, we gradually nudge the activity distribution on the platform from the initial distribution p to the target distribution q. My work is particularly applicable to guiding collaborations, guiding collective actions, and online advertising. In particular, I first propose a probabilistic model on how users behave and how information flows on the platform. The main part of this thesis after that discusses the Influence Individuals through Social Signals (IISS) framework. IISS consists of four main components: (1) Learner: it learns users' interests and characteristics from their historical activities using Bayesian model, (2) Calculator: it uses gradient descent method to compute the intermediate activity distributions, (3) Selector: it selects users who can be influenced to adopt or drop specific activities, (4) Designer: it personalizes social signals for each user. I evaluate the performance of IISS framework by simulation on several network topologies such as preferential attachment, small world, and random. I show that the framework gradually nudges users' activities to approach the target distribution. I use both simulation and mathematical method to analyse convergence properties such as how fast and how close we can approach the target distribution. When the number of activities is 3, I show that for about 45% of target distributions, we can achieve KL-divergence as low as 0.05. But for some other distributions KL-divergence can be as large as 0.5.
ContributorsLe, Tien D (Author) / Sundaram, Hari (Thesis advisor) / Davulcu, Hasan (Thesis advisor) / Liu, Huan (Committee member) / Arizona State University (Publisher)
Created2014