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.
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- Creators: Shen, Wei
- Creators: Tsakalis, Konstantinos
- Creators: Margolis, Eric
Description
Digital sound synthesis allows the creation of a great variety of sounds. Focusing on interesting or ecologically valid sounds for music, simulation, aesthetics, or other purposes limits the otherwise vast digital audio palette. Tools for creating such sounds vary from arbitrary methods of altering recordings to precise simulations of vibrating objects. In this work, methods of sound synthesis by re-sonification are considered. Re-sonification, herein, refers to the general process of analyzing, possibly transforming, and resynthesizing or reusing recorded sounds in meaningful ways, to convey information. Applied to soundscapes, re-sonification is presented as a means of conveying activity within an environment. Applied to the sounds of objects, this work examines modeling the perception of objects as well as their physical properties and the ability to simulate interactive events with such objects. To create soundscapes to re-sonify geographic environments, a method of automated soundscape design is presented. Using recorded sounds that are classified based on acoustic, social, semantic, and geographic information, this method produces stochastically generated soundscapes to re-sonify selected geographic areas. Drawing on prior knowledge, local sounds and those deemed similar comprise a locale's soundscape. In the context of re-sonifying events, this work examines processes for modeling and estimating the excitations of sounding objects. These include plucking, striking, rubbing, and any interaction that imparts energy into a system, affecting the resultant sound. A method of estimating a linear system's input, constrained to a signal-subspace, is presented and applied toward improving the estimation of percussive excitations for re-sonification. To work toward robust recording-based modeling and re-sonification of objects, new implementations of banded waveguide (BWG) models are proposed for object modeling and sound synthesis. Previous implementations of BWGs use arbitrary model parameters and may produce a range of simulations that do not match digital waveguide or modal models of the same design. Subject to linear excitations, some models proposed here behave identically to other equivalently designed physical models. Under nonlinear interactions, such as bowing, many of the proposed implementations exhibit improvements in the attack characteristics of synthesized sounds.
ContributorsFink, Alex M (Author) / Spanias, Andreas S (Thesis advisor) / Cook, Perry R. (Committee member) / Turaga, Pavan (Committee member) / Tsakalis, Konstantinos (Committee member) / Arizona State University (Publisher)
Created2013
Description
In this dissertation I attempt to find elements of education and curricular perspective in the Qur'an. I argue that there is little research in the field of curriculum instruction that discusses the Qur'an's educational aspects and, as a result, much ignorance of the Qur'an's material that deals with education and curricular perspective in the Qur'an. Researchers may find many materials that deal with reading, memorizing, and reciting the Qur'an, along with references that deal with science and math in the Qur'an. Therefore, this dissertation answers the question: What curriculum exists within the Quran? This dissertation is divided into five chapters exploring various aspects of the curriculum. The word "curriculum" is used in one chapter to mean developing the person as a whole in all aspects of life whether spiritual, social, or mental while in the other chapter curriculum is used to refer to methods of instruction. I concluded that curriculum in the Qur'an uses different methods of instructions to develop the individual as a whole in all aspects of life while granting freedom of choice.
ContributorsRisha, Sarah (Author) / Margolis, Eric (Thesis advisor) / Fischman, Gustavo (Committee member) / Ali, Souad (Committee member) / Arizona State University (Publisher)
Created2013
Description
Buddhism is thriving in US-America, attracting many converts with college and post-graduate degrees as well as selling all forms of popular culture. Yet little is known about the communication dynamics behind the diffusion of Buddhist religious/spiritual traditions into the United States. Religion is an underexplored area of intercultural communication studies (Nakayama & Halualani, 2010) and this study meets the lacuna in critical intercultural communication scholarship by investigating the communication practices of US-Americans adopting Asian Buddhist religious/spiritual traditions. Ethnographic observations were conducted at events where US-Americans gathered to learn about and practice Buddhist religious/spiritual traditions. In addition, interviews were conducted with US-Americans who were both learning and teaching Buddhism. The grounded theory method was used for data analysis. The findings of this study describe an emerging theory of the paracultural imaginary -- the space of imagining that one could be better than who one was today by taking on the cultural vestments of (an)Other. The embodied communication dynamics of intercultural exchange that take place when individuals adopt the rituals and philosophies of a foreign culture are described. In addition, a self-reflexive narrative of my struggle with the silence of witnessing the paracultural imaginary is weaved into the analysis. The findings from this study extend critical theorizing on cultural identity, performativity, and cultural appropriation in the diffusion of traditions between cultural groups. In addition, the study addresses the complexity of speaking out against the subtle prejudices in encountered in intercultural communication.
ContributorsWong, Terrie Siang-Ting (Author) / de la Garza, Sarah Amira (Thesis advisor) / Margolis, Eric (Committee member) / Budruk, Megha (Committee member) / Chen, Vivian Hsueh-Hua (Committee member) / Arizona State University (Publisher)
Created2013
Description
Traditional approaches to modeling microgrids include the behavior of each inverter operating in a particular network configuration and at a particular operating point. Such models quickly become computationally intensive for large systems. Similarly, traditional approaches to control do not use advanced methodologies and suffer from poor performance and limited operating range. In this document a linear model is derived for an inverter connected to the Thevenin equivalent of a microgrid. This model is then compared to a nonlinear simulation model and analyzed using the open and closed loop systems in both the time and frequency domains. The modeling error is quantified with emphasis on its use for controller design purposes. Control design examples are given using a Glover McFarlane controller, gain sched- uled Glover McFarlane controller, and bumpless transfer controller which are compared to the standard droop control approach. These examples serve as a guide to illustrate the use of multi-variable modeling techniques in the context of robust controller design and show that gain scheduled MIMO control techniques can extend the operating range of a microgrid. A hardware implementation is used to compare constant gain droop controllers with Glover McFarlane controllers and shows a clear advantage of the Glover McFarlane approach.
ContributorsSteenis, Joel (Author) / Ayyanar, Raja (Thesis advisor) / Mittelmann, Hans (Committee member) / Tsakalis, Konstantinos (Committee member) / Tylavsky, Daniel (Committee member) / Arizona State University (Publisher)
Created2013
Description
Autonomous vehicle control systems utilize real-time kinematic Global Navigation Satellite Systems (GNSS) receivers to provide a position within two-centimeter of truth. GNSS receivers utilize the satellite signal time of arrival estimates to solve for position; and multipath corrupts the time of arrival estimates with a time-varying bias. Time of arrival estimates are based upon accurate direct sequence spread spectrum (DSSS) code and carrier phase tracking. Current multipath mitigating GNSS solutions include fixed radiation pattern antennas and windowed delay-lock loop code phase discriminators. A new multipath mitigating code tracking algorithm is introduced that utilizes a non-symmetric correlation kernel to reject multipath. Independent parameters provide a means to trade-off code tracking discriminant gain against multipath mitigation performance. The algorithm performance is characterized in terms of multipath phase error bias, phase error estimation variance, tracking range, tracking ambiguity and implementation complexity. The algorithm is suitable for modernized GNSS signals including Binary Phase Shift Keyed (BPSK) and a variety of Binary Offset Keyed (BOC) signals. The algorithm compensates for unbalanced code sequences to ensure a code tracking bias does not result from the use of asymmetric correlation kernels. The algorithm does not require explicit knowledge of the propagation channel model. Design recommendations for selecting the algorithm parameters to mitigate precorrelation filter distortion are also provided.
ContributorsMiller, Steven (Author) / Spanias, Andreas (Thesis advisor) / Tepedelenlioğlu, Cihan (Committee member) / Tsakalis, Konstantinos (Committee member) / Zhang, Junshan (Committee member) / Arizona State University (Publisher)
Created2013
Description
This study explored the motivation and persistence factors for non-professional athletes who decided after the age of 40 to begin training for an IRONMAN distance triathlon. The qualitative methodology of grounded theory (Strauss & Corbin, 1998) was used in conceptualizing and implementing the research. In-depth interviews were conducted with 10 individuals in the Southwest region of the United States. Data was coded in accordance with grounded theory methods. Motivation themes that emerged from the data centered around either initiating training for triathlon as an approach toward a specific goal or outcome, or beginning triathlon as a way to cope with personal difficulties. Obstacles to motivation also emerged, such as finances and time, injury, fear and doubt, and interpersonal difficulties. Persistence themes emerged that centered around either taking active steps to help continue training and relying on internal traits or characteristics to promote persistence. Data are discussed in terms of how these individuals adopt triathlon as a part of their lifestyle and identity, and how they come to persist in training beyond IRONMAN.
ContributorsLiddell, T. Michael (Author) / Claiborn, Charles (Thesis advisor) / Kinnier, Richard (Committee member) / Margolis, Eric (Committee member) / Arizona State University (Publisher)
Created2013
Description
The field of education has been immensely benefited by major breakthroughs in technology. The arrival of computers and the internet made student-teacher interaction from different parts of the world viable, increasing the reach of the educator to hitherto remote corners of the world. The arrival of mobile phones in the recent past has the potential to provide the next paradigm shift in the way education is conducted. It combines the universal reach and powerful visualization capabilities of the computer with intimacy and portability. Engineering education is a field which can exploit the benefits of mobile devices to enhance learning and spread essential technical know-how to different parts of the world. In this thesis, I present AJDSP, an Android application evolved from JDSP, providing an intuitive and a easy to use environment for signal processing education. AJDSP is a graphical programming laboratory for digital signal processing developed for the Android platform. It is designed to provide utility; both as a supplement to traditional classroom learning and as a tool for self-learning. The architecture of AJDSP is based on the Model-View-Controller paradigm optimized for the Android platform. The extensive set of function modules cover a wide range of basic signal processing areas such as convolution, fast Fourier transform, z transform and filter design. The simple and intuitive user interface inspired from iJDSP is designed to facilitate ease of navigation and to provide the user with an intimate learning environment. Rich visualizations necessary to understand mathematically intensive signal processing algorithms have been incorporated into the software. Interactive demonstrations boosting student understanding of concepts like convolution and the relation between different signal domains have also been developed. A set of detailed assessments to evaluate the application has been conducted for graduate and senior-level undergraduate students.
ContributorsRanganath, Suhas (Author) / Spanias, Andreas (Thesis advisor) / Tepedelenlioğlu, Cihan (Committee member) / Tsakalis, Konstantinos (Committee member) / Arizona State University (Publisher)
Created2013
Description
In the latter half of the nineteenth century, colleges and universities transformed their thinking of the body as they institutionalized physical education, recreational activities, and especially physical exercise. In this study, I examine the historical discourse on physical exercise and training during this period. I employ the theoretical and methodological practices of Michel Foucault's archeological and genealogical work to write a "history of the present." I challenge the essential narrative of physical fitness on college and university campuses. I also discuss nineteenth century notions of ethics and masculinity as a way of understanding twenty-first century ethics and masculinity. Ultimately, I use the historical discourse to argue that institutionalization of recreation and fitness centers and activities have less to do with health and well-being and more to do with disciplining bodies and controlling individuals.
ContributorsWells, Timothy (Author) / Carlson, David L. (Thesis advisor) / Sandlin, Jennifer (Committee member) / Margolis, Eric (Committee member) / Arizona State University (Publisher)
Created2012
Description
In this study, the Arizona State University Mathematics and Science Teaching Fellows 2010 program was analyzed qualitatively from start to finish to determine the impact of the research experience on teachers in the classroom. The sample for the study was the 2010 cohort of eight high school science teachers. Erickson's (1986) interpretive, participant observational fieldwork method was used to report data by means of detailed descriptions of the research experience and classroom implementation. Data was collected from teacher documents, interviews, and observations. The findings revealed various factors that were responsible for an ineffective implementation of the research experience in the classroom such as research experience, curriculum support, availability of resources, and school curriculum. Implications and recommendations for future programs are discussed in the study.
ContributorsSen, Tapati (Author) / Baker, Dale (Thesis advisor) / Culbertson, Robert (Committee member) / Margolis, Eric (Committee member) / Arizona State University (Publisher)
Created2012
Description
Effective modeling of high dimensional data is crucial in information processing and machine learning. Classical subspace methods have been very effective in such applications. However, over the past few decades, there has been considerable research towards the development of new modeling paradigms that go beyond subspace methods. This dissertation focuses on the study of sparse models and their interplay with modern machine learning techniques such as manifold, ensemble and graph-based methods, along with their applications in image analysis and recovery. By considering graph relations between data samples while learning sparse models, graph-embedded codes can be obtained for use in unsupervised, supervised and semi-supervised problems. Using experiments on standard datasets, it is demonstrated that the codes obtained from the proposed methods outperform several baseline algorithms. In order to facilitate sparse learning with large scale data, the paradigm of ensemble sparse coding is proposed, and different strategies for constructing weak base models are developed. Experiments with image recovery and clustering demonstrate that these ensemble models perform better when compared to conventional sparse coding frameworks. When examples from the data manifold are available, manifold constraints can be incorporated with sparse models and two approaches are proposed to combine sparse coding with manifold projection. The improved performance of the proposed techniques in comparison to sparse coding approaches is demonstrated using several image recovery experiments. In addition to these approaches, it might be required in some applications to combine multiple sparse models with different regularizations. In particular, combining an unconstrained sparse model with non-negative sparse coding is important in image analysis, and it poses several algorithmic and theoretical challenges. A convex and an efficient greedy algorithm for recovering combined representations are proposed. Theoretical guarantees on sparsity thresholds for exact recovery using these algorithms are derived and recovery performance is also demonstrated using simulations on synthetic data. Finally, the problem of non-linear compressive sensing, where the measurement process is carried out in feature space obtained using non-linear transformations, is considered. An optimized non-linear measurement system is proposed, and improvements in recovery performance are demonstrated in comparison to using random measurements as well as optimized linear measurements.
ContributorsNatesan Ramamurthy, Karthikeyan (Author) / Spanias, Andreas (Thesis advisor) / Tsakalis, Konstantinos (Committee member) / Karam, Lina (Committee member) / Turaga, Pavan (Committee member) / Arizona State University (Publisher)
Created2013