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 84
Description
CYOA is a prototype of an iPhone application that produces a single, generative, musical work. This document details some of the thoughts and practices that informed its design, and specifically addresses the overlap between application structure and musical form. The concept of composed instruments is introduced and briefly discussed, some features of video game design that relate to this project are considered, and some specifics of hardware implementation are addressed.
ContributorsPeterson, Julian (Author) / Hackbarth, Glenn (Thesis advisor) / DeMars, James (Committee member) / Feisst, Sabine (Committee member) / Levy, Benjamin (Committee member) / Tobias, Evan (Committee member) / Arizona State University (Publisher)
Created2013
Description
Johann Sebastian Bach's violin Sonata I in G minor, BWV 1001, is a significant and widely performed work that exists in numerous editions and also as transcriptions or arrangements for various other instruments, including the guitar. A pedagogical guitar performance edition of this sonata, however, has yet to be published. Therefore, the core of my project is a transcription and pedagogical edition of this work for guitar. The transcription is supported by an analysis, performance and pedagogical practice guide, and a recording. The analysis and graphing of phrase structures illuminate Bach's use of compositional devices and the architectural function of the work's harmonic gravities. They are intended to guide performers in their assessment of the surface ornamentation and suggest a reduction toward its fundamental purpose. The end result is a clarification of the piece through the organization of phrase structures and the prioritization of harmonic tensions and resolutions. The compiling process is intended to assist the performer in "seeing the forest from the trees." Based on markings from Bach's original autograph score, the transcription considers fingering ease on the guitar that is critical to render the music to a functional and practical level. The goal is to preserve the composer's indications to the highest degree possible while still adhering to the technical confines that allow for actual execution on the guitar. The performance guide provides suggestions for articulation, phrasing, ornamentation, and other interpretive decisions. Considering the limitations of the guitar, the author's suggestions are grounded in various concepts of historically informed performance, and also relate to today's early-music sensibilities. The pedagogical practice guide demonstrates procedures to break down and assimilate the musical material as applied toward the various elements of guitar technique and practice. The CD recording is intended to demonstrate the transcription and the connection to the concepts discussed. It is hoped that this pedagogical edition will provide a rational that serves to support technical decisions within the transcription and generate meaningful interpretive realizations based on principles of historically informed performance.
ContributorsFelice, Joseph Philip (Author) / Koonce, Frank (Thesis advisor) / Feisst, Sabine (Committee member) / Swartz, Jonathan (Committee member) / Arizona State University (Publisher)
Created2013
Description
In recent years we have witnessed a shift towards multi-processor system-on-chips (MPSoCs) to address the demands of embedded devices (such as cell phones, GPS devices, luxury car features, etc.). Highly optimized MPSoCs are well-suited to tackle the complex application demands desired by the end user customer. These MPSoCs incorporate a constellation of heterogeneous processing elements (PEs) (general purpose PEs and application-specific integrated circuits (ASICS)). A typical MPSoC will be composed of a application processor, such as an ARM Coretex-A9 with cache coherent memory hierarchy, and several application sub-systems. Each of these sub-systems are composed of highly optimized instruction processors, graphics/DSP processors, and custom hardware accelerators. Typically, these sub-systems utilize scratchpad memories (SPM) rather than support cache coherency. The overall architecture is an integration of the various sub-systems through a high bandwidth system-level interconnect (such as a Network-on-Chip (NoC)). The shift to MPSoCs has been fueled by three major factors: demand for high performance, the use of component libraries, and short design turn around time. As customers continue to desire more and more complex applications on their embedded devices the performance demand for these devices continues to increase. Designers have turned to using MPSoCs to address this demand. By using pre-made IP libraries designers can quickly piece together a MPSoC that will meet the application demands of the end user with minimal time spent designing new hardware. Additionally, the use of MPSoCs allows designers to generate new devices very quickly and thus reducing the time to market. In this work, a complete MPSoC synthesis design flow is presented. We first present a technique \cite{leary1_intro} to address the synthesis of the interconnect architecture (particularly Network-on-Chip (NoC)). We then address the synthesis of the memory architecture of a MPSoC sub-system \cite{leary2_intro}. Lastly, we present a co-synthesis technique to generate the functional and memory architectures simultaneously. The validity and quality of each synthesis technique is demonstrated through extensive experimentation.
ContributorsLeary, Glenn (Author) / Chatha, Karamvir S (Thesis advisor) / Vrudhula, Sarma (Committee member) / Shrivastava, Aviral (Committee member) / Beraha, Rudy (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
Three Meditations on the Philosophy of Boethius is a musical piece for guitar, piano interior, and computer. Each of the three movements, or meditations, reflects one level of music according to the medieval philosopher Boethius: Musica Mundana, Musica Humana, and Musica Instrumentalis. From spatial aspects, through the human element, to letting sound evolve freely, different movements revolve around different sounds and sound producing techniques.
ContributorsDori, Gil (Contributor) / Hackbarth, Glenn (Thesis advisor) / DeMars, James (Committee member) / Feisst, Sabine (Committee member) / Arizona State University (Publisher)
Created2013
Description
Piano Quintet> is a three movement piece, inspired by music of Eastern Europe. Sunrise in Hungary starts with a legato song in the first violin unfolding over slow moving sustained harmonics in the rest of the strings. This is contrasted with a lively Hungarian dance which starts in the piano and jumps throughout all of the voices. Armenian Lament introduces a mournful melody performed over a subtly shifting pedal tone in the cello. The rest of the voices are slowly introduced until the movement builds into a canonic threnody. Evening in Bulgaria borrows from the vast repertoire of Bulgarian dances, including rhythms from the horo and rachenitsa. Each time that the movement returns to the primary theme, it incorporates aspects of the dance that directly preceded it. The final return is the crux of the piece, with the first violin playing a virtuosic ornaments run on the melody.
ContributorsGiese, Adam (Composer) / Hackbarth, Glenn (Thesis advisor) / DeMars, James (Committee member) / Feisst, Sabine (Committee member) / Arizona State University (Publisher)
Created2014
Description
In this thesis we deal with the problem of temporal logic robustness estimation. We present a dynamic programming algorithm for the robust estimation problem of Metric Temporal Logic (MTL) formulas regarding a finite trace of time stated sequence. This algorithm not only tests if the MTL specification is satisfied by the given input which is a finite system trajectory, but also quantifies to what extend does the sequence satisfies or violates the MTL specification. The implementation of the algorithm is the DP-TALIRO toolbox for MATLAB. Currently it is used as the temporal logic robust computing engine of S-TALIRO which is a tool for MATLAB searching for trajectories of minimal robustness in Simulink/ Stateflow. DP-TALIRO is expected to have near linear running time and constant memory requirement depending on the structure of the MTL formula. DP-TALIRO toolbox also integrates new features not supported in its ancestor FW-TALIRO such as parameter replacement, most related iteration and most related predicate. A derivative of DP-TALIRO which is DP-T-TALIRO is also addressed in this thesis which applies dynamic programming algorithm for time robustness computation. We test the running time of DP-TALIRO and compare it with FW-TALIRO. Finally, we present an application where DP-TALIRO is used as the robustness computation core of S-TALIRO for a parameter estimation problem.
ContributorsYang, Hengyi (Author) / Fainekos, Georgios (Thesis advisor) / Sarjoughian, Hessam S. (Committee member) / Shrivastava, Aviral (Committee member) / Arizona State University (Publisher)
Created2013
Description
Software has a great impact on the energy efficiency of any computing system--it can manage the components of a system efficiently or inefficiently. The impact of software is amplified in the context of a wearable computing system used for activity recognition. The design space this platform opens up is immense and encompasses sensors, feature calculations, activity classification algorithms, sleep schedules, and transmission protocols. Design choices in each of these areas impact energy use, overall accuracy, and usefulness of the system. This thesis explores methods software can influence the trade-off between energy consumption and system accuracy. In general the more energy a system consumes the more accurate will be. We explore how finding the transitions between human activities is able to reduce the energy consumption of such systems without reducing much accuracy. We introduce the Log-likelihood Ratio Test as a method to detect transitions, and explore how choices of sensor, feature calculations, and parameters concerning time segmentation affect the accuracy of this method. We discovered an approximate 5X increase in energy efficiency could be achieved with only a 5% decrease in accuracy. We also address how a system's sleep mode, in which the processor enters a low-power state and sensors are turned off, affects a wearable computing platform that does activity recognition. We discuss the energy trade-offs in each stage of the activity recognition process. We find that careful analysis of these parameters can result in great increases in energy efficiency if small compromises in overall accuracy can be tolerated. We call this the ``Great Compromise.'' We found a 6X increase in efficiency with a 7% decrease in accuracy. We then consider how wireless transmission of data affects the overall energy efficiency of a wearable computing platform. We find that design decisions such as feature calculations and grouping size have a great impact on the energy consumption of the system because of the amount of data that is stored and transmitted. For example, storing and transmitting vector-based features such as FFT or DCT do not compress the signal and would use more energy than storing and transmitting the raw signal. The effect of grouping size on energy consumption depends on the feature. For scalar features energy consumption is proportional in the inverse of grouping size, so it's reduced as grouping size goes up. For features that depend on the grouping size, such as FFT, energy increases with the logarithm of grouping size, so energy consumption increases slowly as grouping size increases. We find that compressing data through activity classification and transition detection significantly reduces energy consumption and that the energy consumed for the classification overhead is negligible compared to the energy savings from data compression. We provide mathematical models of energy usage and data generation, and test our ideas using a mobile computing platform, the Texas Instruments Chronos watch.
ContributorsBoyd, Jeffrey Michael (Author) / Sundaram, Hari (Thesis advisor) / Li, Baoxin (Thesis advisor) / Shrivastava, Aviral (Committee member) / Turaga, Pavan (Committee member) / Arizona State University (Publisher)
Created2014
Description
The focus of this in-depth study is to look at the gestation, performance history, and reception of Giacomo Puccini's evening of three one-act operas called Il Trittico and differentiate the particular components, Il Tabarro, Suor Angelica, and Gianni Schicchi to analyze them for their individual stylistic elements of Italian Opera. These were the styles of verismo, pathos and sentimentality, and opera buffa. As substantiated by written criticism, the audience and the critics did not fully comprehend the hidden meaning behind the individual works of Il Trittico. Puccini, enigmatically, had chosen to present one last glimpse of outmoded Italian operatic traditions. In order to evaluate Il Trittico's importance in the history of Italian opera, this study will first review the musically changing landscape in Italy during the early to mid-nineteenth century, then the second part of the nineteenth and beginning of the twentieth-century when German, French, and eventually Russian music were starting to influence audience taste. Puccini who, over the course of his compositional life, absorbed and incorporated these different styles realized that long held Italian operatic tradition had reached a fork in the road. One path would ensure Italian composers a place in this new order and the other a stagnant dead end.
Even though Puccini's triptych garnered primarily negative reviews, the basis for this negativity was the perception that Il Trittico had broken with the historically traditional Italian musical styles. Though the present study acknowledges that break to a degree, it will also present a historically based rationale for the deviation, one left largely unnoticed by Puccini's critics. In the end, this author plans to realize their symbolic importance as a farewell to three uniquely Italian styles and a departure point for a new operatic tradition. Looking forward to the centenary of the work, this author seeks to illuminate how Puccini reached the pinnacle of firmly rooted genres of Italian opera. Ultimately this might help to unravel the enigma of Il Trittico while it continues to secure its rightful place as one of the masterpieces of the Puccini canon.
Even though Puccini's triptych garnered primarily negative reviews, the basis for this negativity was the perception that Il Trittico had broken with the historically traditional Italian musical styles. Though the present study acknowledges that break to a degree, it will also present a historically based rationale for the deviation, one left largely unnoticed by Puccini's critics. In the end, this author plans to realize their symbolic importance as a farewell to three uniquely Italian styles and a departure point for a new operatic tradition. Looking forward to the centenary of the work, this author seeks to illuminate how Puccini reached the pinnacle of firmly rooted genres of Italian opera. Ultimately this might help to unravel the enigma of Il Trittico while it continues to secure its rightful place as one of the masterpieces of the Puccini canon.
ContributorsScovasso, Stephen (Author) / Oldani, Robert W. (Thesis advisor) / Feisst, Sabine (Committee member) / Norton, Kay (Committee member) / Arizona State University (Publisher)
Created2015
Description
Stream processing has emerged as an important model of computation especially in the context of multimedia and communication sub-systems of embedded System-on-Chip (SoC) architectures. The dataflow nature of streaming applications allows them to be most naturally expressed as a set of kernels iteratively operating on continuous streams of data. The kernels are computationally intensive and are mainly characterized by real-time constraints that demand high throughput and data bandwidth with limited global data reuse. Conventional architectures fail to meet these demands due to their poorly matched execution models and the overheads associated with instruction and data movements.
This work presents StreamWorks, a multi-core embedded architecture for energy-efficient stream computing. The basic processing element in the StreamWorks architecture is the StreamEngine (SE) which is responsible for iteratively executing a stream kernel. SE introduces an instruction locking mechanism that exploits the iterative nature of the kernels and enables fine-grain instruction reuse. Each instruction in a SE is locked to a Reservation Station (RS) and revitalizes itself after execution; thus never retiring from the RS. The entire kernel is hosted in RS Banks (RSBs) close to functional units for energy-efficient instruction delivery. The dataflow semantics of stream kernels are captured by a context-aware dataflow execution mode that efficiently exploits the Instruction Level Parallelism (ILP) and Data-level parallelism (DLP) within stream kernels.
Multiple SEs are grouped together to form a StreamCluster (SC) that communicate via a local interconnect. A novel software FIFO virtualization technique with split-join functionality is proposed for efficient and scalable stream communication across SEs. The proposed communication mechanism exploits the Task-level parallelism (TLP) of the stream application. The performance and scalability of the communication mechanism is evaluated against the existing data movement schemes for scratchpad based multi-core architectures. Further, overlay schemes and architectural support are proposed that allow hosting any number of kernels on the StreamWorks architecture. The proposed oevrlay schemes for code management supports kernel(context) switching for the most common use cases and can be adapted for any multi-core architecture that use software managed local memories.
The performance and energy-efficiency of the StreamWorks architecture is evaluated for stream kernel and application benchmarks by implementing the architecture in 45nm TSMC and comparison with a low power RISC core and a contemporary accelerator.
This work presents StreamWorks, a multi-core embedded architecture for energy-efficient stream computing. The basic processing element in the StreamWorks architecture is the StreamEngine (SE) which is responsible for iteratively executing a stream kernel. SE introduces an instruction locking mechanism that exploits the iterative nature of the kernels and enables fine-grain instruction reuse. Each instruction in a SE is locked to a Reservation Station (RS) and revitalizes itself after execution; thus never retiring from the RS. The entire kernel is hosted in RS Banks (RSBs) close to functional units for energy-efficient instruction delivery. The dataflow semantics of stream kernels are captured by a context-aware dataflow execution mode that efficiently exploits the Instruction Level Parallelism (ILP) and Data-level parallelism (DLP) within stream kernels.
Multiple SEs are grouped together to form a StreamCluster (SC) that communicate via a local interconnect. A novel software FIFO virtualization technique with split-join functionality is proposed for efficient and scalable stream communication across SEs. The proposed communication mechanism exploits the Task-level parallelism (TLP) of the stream application. The performance and scalability of the communication mechanism is evaluated against the existing data movement schemes for scratchpad based multi-core architectures. Further, overlay schemes and architectural support are proposed that allow hosting any number of kernels on the StreamWorks architecture. The proposed oevrlay schemes for code management supports kernel(context) switching for the most common use cases and can be adapted for any multi-core architecture that use software managed local memories.
The performance and energy-efficiency of the StreamWorks architecture is evaluated for stream kernel and application benchmarks by implementing the architecture in 45nm TSMC and comparison with a low power RISC core and a contemporary accelerator.
ContributorsPanda, Amrit (Author) / Chatha, Karam S. (Thesis advisor) / Wu, Carole-Jean (Thesis advisor) / Chakrabarti, Chaitali (Committee member) / Shrivastava, Aviral (Committee member) / Arizona State University (Publisher)
Created2014