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 134
Filtering by
- Creators: Rockmaker, Jody
- Creators: Pan, Rong
Description
Nowadays product reliability becomes the top concern of the manufacturers and customers always prefer the products with good performances under long period. In order to estimate the lifetime of the product, accelerated life testing (ALT) is introduced because most of the products can last years even decades. Much research has been done in the ALT area and optimal design for ALT is a major topic. This dissertation consists of three main studies. First, a methodology of finding optimal design for ALT with right censoring and interval censoring have been developed and it employs the proportional hazard (PH) model and generalized linear model (GLM) to simplify the computational process. A sensitivity study is also given to show the effects brought by parameters to the designs. Second, an extended version of I-optimal design for ALT is discussed and then a dual-objective design criterion is defined and showed with several examples. Also in order to evaluate different candidate designs, several graphical tools are developed. Finally, when there are more than one models available, different model checking designs are discussed.
ContributorsYang, Tao (Author) / Pan, Rong (Thesis advisor) / Montgomery, Douglas C. (Committee member) / Borror, Connie (Committee member) / Rigdon, Steve (Committee member) / Arizona State University (Publisher)
Created2013
Description
Bright Summer, a one-movement piece for orchestra, was composed in Arizona, and completed in February 2013. The piece is approximately twelve minutes long. The motivation for writing this piece was the death of my mother the year before, in 2012. The prevailing mood of this work is bright and pleasant, expressing my mother's cheerful personality when she was alive. It also portrays bright summer days which resemble my mother's spirit. Thus, soundscape plays an important role in this work. It depicts summer breeze, rustling sounds of leaves, and, to translate a Korean saying, "high blue skies." This soundscape opens the piece as well as closes it. In the middle section, the fast upbeat themes represent my mother's witty and optimistic personality. The piece also contains the presence of a hymn tune, The Love of God is Greater Far, which informs the motivic content and also functions as the climax of the piece. It was my mother's favorite hymn and we used to sing it together following her conversion to Christianity. The piece contains three main sections, which are held together by transitional material based on the soundscape and metric modulations. Unlike my earlier works, Bright Summer is tonal, with upper tertian harmonies prevailing throughout the piece. However, the opening and closing soundscapes do not have functional harmonies. For example, tertian chords appear and vanish silently, leaving behind some resonant sounds without any harmonic progression. Overall, the whole piece is reminiscent of my mother who lived a beautiful life.
ContributorsKim, JeeYeon (Composer) / DeMars, James (Thesis advisor) / Hackbarth, Glenn (Committee member) / Rogers, Rodney (Committee member) / Levy, Benjamin (Committee member) / Rockmaker, Jody (Committee member) / Arizona State University (Publisher)
Created2013
Description
Norwegian composer Ola Gjeilo (b. 1978) is highly regarded as an accomplished and prolific composer of choral music. His creative output includes works for chorus, solo piano, and wind symphony. His unique style infuses elements of cinematic music, jazz and improvisation, with particularly intriguing selections of text. This study examines the factors that influence Gjeilo's compositional techniques, and the musical interpretations of conductor Charles Bruffy in his preparation for The Phoenix Chorale's recording Northern Lights: Choral Works by Ola Gjeilo. The eleven works discussed in this study are: The Ground, Evening Prayer, Ubi caritas, Prelude, Northern Lights, The Spheres, Tota pulchra es, Serenity, Phoenix (Agnus Dei), Unicornis captivatur, and Dark Night of the Soul. As a relatively new and young composer, there is very little published literature on Gjeilo and his works. This study provides an intimate glance into the creative process of the composer. By composing in multiple styles and with a variety of inspirational sources, Gjeilo creates a fresh approach toward composition of new choral music. His style is revealed through interviews and numerous collaborations with conductors and performers who have prepared and performed his music, as well through an examination of the eleven works recorded by The Phoenix Chorale.
ContributorsGarrison, Ryan Derrick (Author) / Reber, William (Thesis advisor) / Saucier, Catherine (Committee member) / Rockmaker, Jody (Committee member) / Doan, Jerry (Committee member) / Arizona State University (Publisher)
Created2013
Description
With the rapid development of mobile sensing technologies like GPS, RFID, sensors in smartphones, etc., capturing position data in the form of trajectories has become easy. Moving object trajectory analysis is a growing area of interest these days owing to its applications in various domains such as marketing, security, traffic monitoring and management, etc. To better understand movement behaviors from the raw mobility data, this doctoral work provides analytic models for analyzing trajectory data. As a first contribution, a model is developed to detect changes in trajectories with time. If the taxis moving in a city are viewed as sensors that provide real time information of the traffic in the city, a change in these trajectories with time can reveal that the road network has changed. To detect changes, trajectories are modeled with a Hidden Markov Model (HMM). A modified training algorithm, for parameter estimation in HMM, called m-BaumWelch, is used to develop likelihood estimates under assumed changes and used to detect changes in trajectory data with time. Data from vehicles are used to test the method for change detection. Secondly, sequential pattern mining is used to develop a model to detect changes in frequent patterns occurring in trajectory data. The aim is to answer two questions: Are the frequent patterns still frequent in the new data? If they are frequent, has the time interval distribution in the pattern changed? Two different approaches are considered for change detection, frequency-based approach and distribution-based approach. The methods are illustrated with vehicle trajectory data. Finally, a model is developed for clustering and outlier detection in semantic trajectories. A challenge with clustering semantic trajectories is that both numeric and categorical attributes are present. Another problem to be addressed while clustering is that trajectories can be of different lengths and also have missing values. A tree-based ensemble is used to address these problems. The approach is extended to outlier detection in semantic trajectories.
ContributorsKondaveeti, Anirudh (Author) / Runger, George C. (Thesis advisor) / Mirchandani, Pitu (Committee member) / Pan, Rong (Committee member) / Maciejewski, Ross (Committee member) / Arizona State University (Publisher)
Created2012
Description
This thesis presents a new arrangement of Richard Peaslee's trombone solo "Arrows of Time" for brass band. This arrangement adapts Peaslee's orchestration - and subsequent arrangement by Dr. Joshua Hauser for wind ensemble - for the modern brass band instrumentation and includes a full score. A brief biography of Richard Peaslee and his work accompanies this new arrangement, along with commentary on the orchestration of "Arrows of Time", and discussion of the evolution and adaptation of the work for wind ensemble by Dr. Hauser. The methodology used to adapt these versions for the brass band completes the background information.
ContributorsMalloy, Jason Patrick (Author) / Ericson, John (Thesis advisor) / Oldani, Robert (Committee member) / Rockmaker, Jody (Committee member) / Arizona State University (Publisher)
Created2013
Description
With the increase in computing power and availability of data, there has never been a greater need to understand data and make decisions from it. Traditional statistical techniques may not be adequate to handle the size of today's data or the complexities of the information hidden within the data. Thus knowledge discovery by machine learning techniques is necessary if we want to better understand information from data. In this dissertation, we explore the topics of asymmetric loss and asymmetric data in machine learning and propose new algorithms as solutions to some of the problems in these topics. We also studied variable selection of matched data sets and proposed a solution when there is non-linearity in the matched data. The research is divided into three parts. The first part addresses the problem of asymmetric loss. A proposed asymmetric support vector machine (aSVM) is used to predict specific classes with high accuracy. aSVM was shown to produce higher precision than a regular SVM. The second part addresses asymmetric data sets where variables are only predictive for a subset of the predictor classes. Asymmetric Random Forest (ARF) was proposed to detect these kinds of variables. The third part explores variable selection for matched data sets. Matched Random Forest (MRF) was proposed to find variables that are able to distinguish case and control without the restrictions that exists in linear models. MRF detects variables that are able to distinguish case and control even in the presence of interaction and qualitative variables.
ContributorsKoh, Derek (Author) / Runger, George C. (Thesis advisor) / Wu, Tong (Committee member) / Pan, Rong (Committee member) / Cesta, John (Committee member) / Arizona State University (Publisher)
Created2013
Description
The German pianist and composer Johannes Brahms (1883-1897) wrote more than 122 works for a wide variety of ensembles and genres. Despite this remarkable productivity, and his widely heralded talent for innovation and technique as a composer, few of his works have been arranged for solo guitar, and these have focused primarily on his simpler, more melodic works. Conventional wisdom is that his music is "too dense" to be played on the guitar. As a result, there are no arrangements of orchestral works by Brahms in the standard repertoire for the guitar. In arranging Brahms's Serenade in D Major, movt. 1 for the guitar, I provide a counter argument that not all of Brahms's orchestral music is too dense all of the time. In Part I, I provide a brief overview of the history of, and sources for, the Serenade. Part II describes a step-by-step guide through the process of arranging orchestral repertoire for the solo guitar. Part III is an examination of the editing process that utilizes examples from the guitar arrangement of the Serenade in order to illustrate the various techniques and considerations that are part of the editing process. Part IV is a performance edition of the arrangement. In summary, the present arrangement of Brahms's Serenade, op.11 is the beginning of a conversation about why the "guitar world" should be incorporating the music of Brahms into the standard repertoire. The lessons learned, and the technical challenges discovered, should help inform future arrangers and guitar performers for additional compositions by Brahms.
ContributorsLanier, William Hudson (Author) / Koonce, Frank (Thesis advisor) / Micklich, Albie (Committee member) / Rockmaker, Jody (Committee member) / Arizona State University (Publisher)
Created2013
Description
Nelson Rolihlahla Mandela was born July 18, 1918 into the Madiba clan in Mvezo, Transkei, South Africa. Mandela was a lawyer by trade and a freedom fighter who envisioned freedom and equality for all South Africans regardless of race. In 1965, Mandela was imprisoned at Robben Island for twenty-seven years for treason and terrorist activities against the South African apartheid regime: he was assigned prison numbers 46664. In 1992, Mandela was released from prison and two years later not only became the first democratically elected president of South Africa, but also its first black president. "Madiba 46664" is an eight-minute chamber work scored for flute, oboe, clarinet in B-flat, and bassoon; vibraphone, and two percussionists; piano; violins, violas, and celli. The work blends traditional South African rhythms of the drumming culture with elements of Western harmony and form in contrasting textures of homophony, polyphony and antiphony. "Madiba 46664" utilizes Mandela's prison number, birthdate and age (at the time the composition process began in 2013) for the initial generation of meter, rhythm, harmony, melody, and form. The work also shares intercultural concepts that can be seen in the works of three contemporary African composers, South Africans Jeanne Zaidel-Rudolph and Andile Khumalo, and Nigerian Ayo Oluranti. Each section represents a period of Mandela's life as a freedom fighter, a prisoner, and a president. The inspiration stems from the composer's discussions with Mandela soon after his release from prison and prior to his presidency. These lively discussions pertained to the state of traditional music in then apartheid South Africa and led to this creation. The conversations also played a role in the creative process.
ContributorsMabingnai, Collette Sipho (Composer) / DeMars, James (Thesis advisor) / Hackbarth, Glenn (Committee member) / Humphreys, Jere (Committee member) / Rockmaker, Jody (Committee member) / Rogers, Rodney (Committee member) / Arizona State University (Publisher)
Created2014
Description
Preservation Symphony is a short, multi-movement, orchestral composition that explores the versatility of the [016] pitch class set as the dominant unifying force of this cyclical work. The composition is scored for Piccolo, two Flutes, two Oboes, English Horn, two Clarinets, Bass Clarinet, full complement of Brass, Timpani, two Percussionists, and Strings. Movement one is in sonata form; the [016] set is used in structuring its overall formal scheme. The primary focus of the movement is on the tritone [0 6] as a replacement for the traditional tonic and dominant polarity. The movement features a driving force that alternates between pulse subdivisions of even sixteenth notes and sixteenth-note triplets. Movement two is in simple binary form with a central tonality of A. An English Horn solo functions as both the opening of the movement and a transition from the tonality of movement one (F) into the new tonal center of A. The unifying pitch class set [016] is used in this movement in a Phrygian context. Movement two has a contemplative and dark tone, which is in stark contrast to the outer movements. Movement three has a lighter, upbeat nature. The movement is in rondo form with its main theme written in a folk-like character. This movement returns to F as the central tonality, completing the overall tonal plan of the work. As in movement one, it explores the tritone polarity of F and B. The movement also revisits the chromatic mediant relationship found in the middle of movement two in the oboes. The pitch class set is now used in the context of a Lydian-Mixolydian (or acoustic) scale, from which both the central and secondary themes of the rondo are derived.
ContributorsKemp, Tyler (Composer) / Rogers, Rodney (Thesis advisor) / DeMars, James (Committee member) / Rockmaker, Jody (Committee member) / Arizona State University (Publisher)
Created2014
Description
Accelerated life testing (ALT) is the process of subjecting a product to stress conditions (temperatures, voltage, pressure etc.) in excess of its normal operating levels to accelerate failures. Product failure typically results from multiple stresses acting on it simultaneously. Multi-stress factor ALTs are challenging as they increase the number of experiments due to the stress factor-level combinations resulting from the increased number of factors. Chapter 2 provides an approach for designing ALT plans with multiple stresses utilizing Latin hypercube designs that reduces the simulation cost without loss of statistical efficiency. A comparison to full grid and large-sample approximation methods illustrates the approach computational cost gain and flexibility in determining optimal stress settings with less assumptions and more intuitive unit allocations.
Implicit in the design criteria of current ALT designs is the assumption that the form of the acceleration model is correct. This is unrealistic assumption in many real-world problems. Chapter 3 provides an approach for ALT optimum design for model discrimination. We utilize the Hellinger distance measure between predictive distributions. The optimal ALT plan at three stress levels was determined and its performance was compared to good compromise plan, best traditional plan and well-known 4:2:1 compromise test plans. In the case of linear versus quadratic ALT models, the proposed method increased the test plan's ability to distinguish among competing models and provided better guidance as to which model is appropriate for the experiment.
Chapter 4 extends the approach of Chapter 3 to ALT sequential model discrimination. An initial experiment is conducted to provide maximum possible information with respect to model discrimination. The follow-on experiment is planned by leveraging the most current information to allow for Bayesian model comparison through posterior model probability ratios. Results showed that performance of plan is adversely impacted by the amount of censoring in the data, in the case of linear vs. quadratic model form at three levels of constant stress, sequential testing can improve model recovery rate by approximately 8% when data is complete, but no apparent advantage in adopting sequential testing was found in the case of right-censored data when censoring is in excess of a certain amount.
Implicit in the design criteria of current ALT designs is the assumption that the form of the acceleration model is correct. This is unrealistic assumption in many real-world problems. Chapter 3 provides an approach for ALT optimum design for model discrimination. We utilize the Hellinger distance measure between predictive distributions. The optimal ALT plan at three stress levels was determined and its performance was compared to good compromise plan, best traditional plan and well-known 4:2:1 compromise test plans. In the case of linear versus quadratic ALT models, the proposed method increased the test plan's ability to distinguish among competing models and provided better guidance as to which model is appropriate for the experiment.
Chapter 4 extends the approach of Chapter 3 to ALT sequential model discrimination. An initial experiment is conducted to provide maximum possible information with respect to model discrimination. The follow-on experiment is planned by leveraging the most current information to allow for Bayesian model comparison through posterior model probability ratios. Results showed that performance of plan is adversely impacted by the amount of censoring in the data, in the case of linear vs. quadratic model form at three levels of constant stress, sequential testing can improve model recovery rate by approximately 8% when data is complete, but no apparent advantage in adopting sequential testing was found in the case of right-censored data when censoring is in excess of a certain amount.
ContributorsNasir, Ehab (Author) / Pan, Rong (Thesis advisor) / Runger, George C. (Committee member) / Gel, Esma (Committee member) / Kao, Ming-Hung (Committee member) / Montgomery, Douglas C. (Committee member) / Arizona State University (Publisher)
Created2014