Matching Items (205)
Description
The legacy of the great double bassist and pedagogue Joseph Prunner (1886-1969) includes his scale and arpeggio exercise book, Progressive Studies for the Double Bass, composed in 1955. Progressive Studies was originally written for Prunner's students at the Bucharest Conservatoire and was not intended for a wide publication. In the work Prunner presents major and harmonic and melodic minor scales that are performed in one octave and then extended diatonically through all their modes, progressing through this pattern for three octaves, followed by a series of arpeggio exercises. These exercises are based on a modernized fingering system and are offered in the traditional positions and in what Prunner called "Fixed-Position" scales. A series of chromatic scale exercises are also included that follow the template of the major and minor scales. The study at hand is a revision and expansion of Prunner's work. The edition presented here intends to preserve the information that Prunner provided, fix the errors made in editing, and expand the study greatly by increasing the range of the exercises, providing more arpeggio exercises, creating melodic and harmonic minor "Fixed-Position" scales and arpeggio exercises, and including the study of double-stops. In support of the revised and updated version of Progressive Studies, this study includes a biography of Joseph Prunner and a summary of the importance of the type of scale and arpeggio practice the collection of exercises supports. An explanation of the revisions made to Prunner's work and recommendations for using the exercises also precede the new edition.
ContributorsStotz, Daniel Aaron (Author) / Rotaru, Catalin (Thesis advisor) / Holbrook, Amy (Committee member) / Kennedy, Jeffery (Committee member) / Koonce, Frank (Committee member) / Landschoot, Thomas (Committee member) / Arizona State University (Publisher)
Created2012
Description
New works for the bass clarinet as a solo instrument are uncommon. In the interest of expanding the repertoire of the bass clarinet, three new works for bass clarinet were commissioned from three different composers, all with different instrumentations. The resulting works are Industrial Strength for bass clarinet and piano by Kenji Bunch; Dark Embers for two bass clarinets by Theresa Martin; and Shovelhead for bass clarinet and interactive electronics by Steven Snowden. Although all three works feature the bass clarinet, they are all very different and pose unique challenges to the performer. To accompany these pieces, and as an aid to future performers, a performance practice guide has been included with recommendations for individuals who wish to perform these works. Included in the guide are recommended fingerings, practice techniques, and possible adjustments to the bass clarinet parts designed in collaboration with the composers that make the works more technically accessible. Accompanying this guide are full scores of all three works, a recording of them performed by the author, and a chart that contains recommended altissimo fingerings.
ContributorsMiracle, Matthew (Author) / Spring, Robert (Thesis advisor) / Gardner, Joshua (Committee member) / Holbrook, Amy (Committee member) / Micklich, Albie (Committee member) / Rogers, Rodney (Committee member) / Arizona State University (Publisher)
Created2012
Description
This paper is the writing component of a project the author under took to create an entertaining program for a chamber ensemble. It discusses ways for chamber ensembles to create entertaining concert programs for today's audiences. Information was gathered by analyzing four interesting and successful groups--The Canadian Brass, Mnozil Brass, Les Trompettes de Lyon, and The Blue Man Group--and identifying common traits. These traits help facilitate the ultimate goal of making connections with audiences and include originality, comedy, choreography, memorization, continuous presentation, musical appeal, high quality presentations, and the proper personnel. These attributes were then implemented into the author's experimental group, the Omni Brass Ensemble, for testing with live audiences. Materials were used from published interviews, articles, newspapers, ensemble websites, and recordings of their performances. From the author's performances with the Omni Brass Ensemble, indications are that these findings work with live audiences.
ContributorsLee, Randolph Thomas (Author) / Hickman, David (Thesis advisor) / Ericson, John (Committee member) / Holbrook, Amy (Committee member) / Pilafian, J. Samuel (Committee member) / Russell, Timothy (Committee member) / Arizona State University (Publisher)
Created2012
Description
Interictal spikes, together with seizures, have been recognized as the two hallmarks of epilepsy, a brain disorder that 1% of the world's population suffers from. Even though the presence of spikes in brain's electromagnetic activity has diagnostic value, their dynamics are still elusive. It was an objective of this dissertation to formulate a mathematical framework within which the dynamics of interictal spikes could be thoroughly investigated. A new epileptic spike detection algorithm was developed by employing data adaptive morphological filters. The performance of the spike detection algorithm was favorably compared with others in the literature. A novel spike spatial synchronization measure was developed and tested on coupled spiking neuron models. Application of this measure to individual epileptic spikes in EEG from patients with temporal lobe epilepsy revealed long-term trends of increase in synchronization between pairs of brain sites before seizures and desynchronization after seizures, in the same patient as well as across patients, thus supporting the hypothesis that seizures may occur to break (reset) the abnormal spike synchronization in the brain network. Furthermore, based on these results, a separate spatial analysis of spike rates was conducted that shed light onto conflicting results in the literature about variability of spike rate before and after seizure. The ability to automatically classify seizures into clinical and subclinical was a result of the above findings. A novel method for epileptogenic focus localization from interictal periods based on spike occurrences was also devised, combining concepts from graph theory, like eigenvector centrality, and the developed spike synchronization measure, and tested very favorably against the utilized gold rule in clinical practice for focus localization from seizures onset. Finally, in another application of resetting of brain dynamics at seizures, it was shown that it is possible to differentiate with a high accuracy between patients with epileptic seizures (ES) and patients with psychogenic nonepileptic seizures (PNES). The above studies of spike dynamics have elucidated many unknown aspects of ictogenesis and it is expected to significantly contribute to further understanding of the basic mechanisms that lead to seizures, the diagnosis and treatment of epilepsy.
ContributorsKrishnan, Balu (Author) / Iasemidis, Leonidas (Thesis advisor) / Tsakalis, Kostantinos (Committee member) / Spanias, Andreas (Committee member) / Si, Jennie (Committee member) / Arizona State University (Publisher)
Created2012
Description
John Harbison is one of the most prominent composers of the twentieth and twenty-first centuries. He has made major contributions in all areas of classical music, including operas, symphonies, chamber music, choral works, and vocal pieces.Among his vast output is 'Four Songs of Solitude,' his only composition (to date) for solo violin. Though the piece is beautiful and reflective in nature, its inherent technical and musical difficulties present challenges to violinists preparing the piece. There is no published edition of 'Four Songs of Solitude' that includes bowings and fingerings, and violinists used to practicing and performing the études and repertoire of the eighteenth and nineteenth centuries may have difficulty determining how to successfully navigate the music. This paper examines the piece in detail, providing an analytic description of the music and suggestions for practice. An interview with the composer yielded many insights into the structural and harmonic events of the songs, and the composer's interpretive suggestions are given alongside technical suggestions by the author. The solo violin has a centuries-long legacy, and some of the most performed repertoire exists in the medium. 'Four Songs of Solitude' is a demanding set of pieces that stands out in late twentieth-century violin music. Providing information about the piece directly from the composer and suggestions for practice and performance increases the accessibility of the work for violinists seeking to bring it to the concert stage.
ContributorsSchreffler, Sarah (Author) / McLin, Katherine (Thesis advisor) / Hill, Gary (Committee member) / Holbrook, Amy (Committee member) / Spring, Robert (Committee member) / Swartz, Jonathan (Committee member) / Arizona State University (Publisher)
Created2012
Description
Photovoltaics (PV) is an important and rapidly growing area of research. With the advent of power system monitoring and communication technology collectively known as the "smart grid," an opportunity exists to apply signal processing techniques to monitoring and control of PV arrays. In this paper a monitoring system which provides real-time measurements of each PV module's voltage and current is considered. A fault detection algorithm formulated as a clustering problem and addressed using the robust minimum covariance determinant (MCD) estimator is described; its performance on simulated instances of arc and ground faults is evaluated. The algorithm is found to perform well on many types of faults commonly occurring in PV arrays. Among several types of detection algorithms considered, only the MCD shows high performance on both types of faults.
ContributorsBraun, Henry (Author) / Tepedelenlioğlu, Cihan (Thesis advisor) / Spanias, Andreas (Thesis advisor) / Turaga, Pavan (Committee member) / Arizona State University (Publisher)
Created2012
Description
With increased usage of green energy, the number of photovoltaic arrays used in power generation is increasing rapidly. Many of the arrays are located at remote locations where faults that occur within the array often go unnoticed and unattended for large periods of time. Technicians sent to rectify the faults have to spend a large amount of time determining the location of the fault manually. Automated monitoring systems are needed to obtain the information about the performance of the array and detect faults. Such systems must monitor the DC side of the array in addition to the AC side to identify non catastrophic faults. This thesis focuses on two of the requirements for DC side monitoring of an automated PV array monitoring system. The first part of the thesis quantifies the advantages of obtaining higher resolution data from a PV array on detection of faults. Data for the monitoring system can be gathered for the array as a whole or from additional places within the array such as individual modules and end of strings. The fault detection rate and the false positive rates are compared for array level, string level and module level PV data. Monte Carlo simulations are performed using PV array models developed in Simulink and MATLAB for fault and no fault cases. The second part describes a graphical user interface (GUI) that can be used to visualize the PV array for module level monitoring system information. A demonstration GUI is built in MATLAB using data obtained from a PV array test facility in Tempe, AZ. Visualizations are implemented to display information about the array as a whole or individual modules and locate faults in the array.
ContributorsKrishnan, Venkatachalam (Author) / Tepedelenlioğlu, Cihan (Thesis advisor) / Spanias, Andreas (Thesis advisor) / Ayyanar, Raja (Committee member) / Papandreou-Suppappola, Antonia (Committee member) / Arizona State University (Publisher)
Created2012
Description
In this thesis, we consider the problem of fast and efficient indexing techniques for time sequences which evolve on manifold-valued spaces. Using manifolds is a convenient way to work with complex features that often do not live in Euclidean spaces. However, computing standard notions of geodesic distance, mean etc. can get very involved due to the underlying non-linearity associated with the space. As a result a complex task such as manifold sequence matching would require very large number of computations making it hard to use in practice. We believe that one can device smart approximation algorithms for several classes of such problems which take into account the geometry of the manifold and maintain the favorable properties of the exact approach. This problem has several applications in areas of human activity discovery and recognition, where several features and representations are naturally studied in a non-Euclidean setting. We propose a novel solution to the problem of indexing manifold-valued sequences by proposing an intrinsic approach to map sequences to a symbolic representation. This is shown to enable the deployment of fast and accurate algorithms for activity recognition, motif discovery, and anomaly detection. Toward this end, we present generalizations of key concepts of piece-wise aggregation and symbolic approximation for the case of non-Euclidean manifolds. Experiments show that one can replace expensive geodesic computations with much faster symbolic computations with little loss of accuracy in activity recognition and discovery applications. The proposed methods are ideally suited for real-time systems and resource constrained scenarios.
ContributorsAnirudh, Rushil (Author) / Turaga, Pavan (Thesis advisor) / Spanias, Andreas (Committee member) / Li, Baoxin (Committee member) / Arizona State University (Publisher)
Created2012
Description
The ability of musicians to perform well in multiple musical styles is increasingly common and necessary. This paper profiles two trombonists who have gone well beyond the ability to function in multiple genres, and are instead considered significant artists. Tony Baker and Alex Iles were chosen to be profiled for this project because both have achieved recognition as solo artists in the genres of classical music and jazz and have performed on international stages as soloists. They also have significant ensemble experience in both classical and jazz settings and are active teachers as well. Both hold-high profile positions that have helped grow their reputations as performers: Mr. Baker as a professor at one of the largest music schools in the United States, the University of North Texas, and Mr. Iles as a highly in-demand freelance musician in Los Angeles. This paper presents interviews with both trombonists that investigate their development as musicians and soloists in both classical music and jazz. They are asked to describe the benefits and challenges of performing at a high level in both styles, and how these have affected their musical voices. Common traits found in their responses are examined, and recommendations are created for musicians seeking stylistic versatility.
ContributorsLennex, William (Author) / Pilafian, J. Samuel (Thesis advisor) / Bush, Jeffrey (Committee member) / Ericson, John (Committee member) / Hackbarth, Glenn (Committee member) / Holbrook, Amy (Committee member) / Arizona State University (Publisher)
Created2012
Description
Recent advances in camera architectures and associated mathematical representations now enable compressive acquisition of images and videos at low data-rates. While most computer vision applications of today are composed of conventional cameras, which collect a large amount redundant data and power hungry embedded systems, which compress the collected data for further processing, compressive cameras offer the advantage of direct acquisition of data in compressed domain and hence readily promise to find applicability in computer vision, particularly in environments hampered by limited communication bandwidths. However, despite the significant progress in theory and methods of compressive sensing, little headway has been made in developing systems for such applications by exploiting the merits of compressive sensing. In such a setting, we consider the problem of activity recognition, which is an important inference problem in many security and surveillance applications. Since all successful activity recognition systems involve detection of human, followed by recognition, a potential fully functioning system motivated by compressive camera would involve the tracking of human, which requires the reconstruction of atleast the initial few frames to detect the human. Once the human is tracked, the recognition part of the system requires only the features to be extracted from the tracked sequences, which can be the reconstructed images or the compressed measurements of such sequences. However, it is desirable in resource constrained environments that these features be extracted from the compressive measurements without reconstruction. Motivated by this, in this thesis, we propose a framework for understanding activities as a non-linear dynamical system, and propose a robust, generalizable feature that can be extracted directly from the compressed measurements without reconstructing the original video frames. The proposed feature is termed recurrence texture and is motivated from recurrence analysis of non-linear dynamical systems. We show that it is possible to obtain discriminative features directly from the compressed stream and show its utility in recognition of activities at very low data rates.
ContributorsKulkarni, Kuldeep Sharad (Author) / Turaga, Pavan (Thesis advisor) / Spanias, Andreas (Committee member) / Frakes, David (Committee member) / Arizona State University (Publisher)
Created2012