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Description
The solo repertoire from the Light Music Era serves as an important link between the Classical and Jazz soloist traditions. These characteristics are best highlighted through an analysis of three solo transcriptions: Felix Arndt's Nola as performed by Al Gallodoro, Rudy Wiedoeft's Valse Vanité, as performed by Freddy Gardener, and Jimmy Dorsey's Oodles of Noodles, as performed by Al Gallodoro. The transcriptions, done by the author, are taken from primary source recordings, and the ensuing analysis serves to show the saxophone soloists of the Light Music Era as an amalgamation of classical and jazz saxophone. Many of the works performed during the Light Music Era are extant only in recorded form. Even so, these performances possess great historical significance within the context of the state of the saxophone as an important solo instrument in the wider musical landscape. The saxophone solos from the Light Music Era distinguish themselves through the use of formal development and embellishment of standard "song forms" (such as ABA, and AABA), and the use of improvisational techniques that are common to early Jazz; however, the analysis shows that the improvisational techniques were distinctly different than a Jazz solo improvisation in nature. Although it has many characteristics in common with both "Classical Music" (this is used as a generic term to refer to the music of the Western European common practice period that is not Pop music or Jazz) and Jazz, the original research shows that the saxophone solo music from the Light Music Era is a distinctly original genre due to the amalgamation of seemingly disparate elements.
ContributorsPuccio, Dan (Author) / Mcallister, Timothy P (Thesis advisor) / Feisst, Sabine (Committee member) / Kocour, Michael (Committee member) / Pilafian, J. Samuel (Committee member) / Spring, Robert (Committee member) / Arizona State University (Publisher)
Created2012
Description
Human operators have difficulty driving cranes quickly, accurately, and safely because of the slow response of heavy crane structures, non-intuitive control interfaces, and payload oscillations. Recently, a novel hand-motion crane control system has been proposed to improve performance by coupling an intuitive control interface with an element that reduces the complex oscillatory behavior of the payload. Hand-motion control allows operators to drive a crane by simply moving a hand-held radio-frequency tag through the desired path. Real-time location sensors are used to track the movements of the tag and the tag position is used in a feedback control loop to drive the crane. An input shaper is added to eliminate dangerous payload oscillations. However, tag position measurements are corrupted by noise. It is important to understand the noise properties so that appropriate filters can be designed to mitigate the effects of noise and improve tracking accuracy. This work discusses implementing filtering techniques to address the issue of noise in the operating environment. Five different filters are used on experimentally-acquired tag trajectories to reduce noise. The filtered trajectories are then used to drive crane simulations. Filter performance is evaluated with respect to the energy usage of the crane trolley, the settling time of the crane payload oscillations, and the safety corridor of the crane trajectory. The effects of filter window lengths on these parameters are also investigated. An adaptive filtering technique, namely the Kalman filter, adapts to the noise characteristics of the workspace to minimize the tag tracking error and performs better than the other filtering techniques examined.
ContributorsRagunathan, Sudarshan (Author) / Frakes, David (Thesis advisor) / Singhose, William (Committee member) / Tillery, Stephen Helms (Committee member) / Arizona State University (Publisher)
Created2012
Description
New music is often created as a product of commissions resulting in a collaborative effort between the performer and the composer. This performer-composer relationship represents an important component of the role of the artist in expanding the repertoire of the instrument. Belgian composer, Norbert Goddaer (b. 1933), has written numerous works for clarinet that are the result of such collaborations. Mr. Goddaer's works for clarinet are well-crafted and audience-friendly, and are thus good programming choices for students and professionals alike. His clarinet works have been performed worldwide in artist recitals, conferences for organizations such as the International Clarinet Association, The Midwest Clinic, and the Texas Music Educators Association, and have been commercially recorded and released by some of the foremost contemporary clarinet artists. These works have a great education value given the fact that they are appropriate choices for such a wide range of clarinetists. In an effort to contribute to this body of performance history, the author has produced a recording of five of Goddaer's previously unrecorded works, accompanied by a performance guide to each work. This document provides detailed performance notes with corresponding musical examples, basic formal analyses, and musical suggestions for Las Mañas, Conversations, Ballad, Duets, and Restless by Norbert Goddaer. The author has included a full transcript of an interview with Norbert Goddaer, which includes a first-person discussion of each work, and additionally includes biographical information supported by concert programs and an annotated list of all of Goddaer's works for clarinet, and a discography of his works for clarinet.
ContributorsClasen, Kevin (Author) / Spring, Robert S (Thesis advisor) / Gardner, Joshua T (Committee member) / Norton, Kay (Committee member) / Hill, Gary (Committee member) / McAllister, Timothy (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
Predicting resistant prostate cancer is critical for lowering medical costs and improving the quality of life of advanced prostate cancer patients. I formulate, compare, and analyze two mathematical models that aim to forecast future levels of prostate-specific antigen (PSA). I accomplish these tasks by employing clinical data of locally advanced prostate cancer patients undergoing androgen deprivation therapy (ADT). I demonstrate that the inverse problem of parameter estimation might be too complicated and simply relying on data fitting can give incorrect conclusions, since there is a large error in parameter values estimated and parameters might be unidentifiable. I provide confidence intervals to give estimate forecasts using data assimilation via an ensemble Kalman Filter. Using the ensemble Kalman Filter, I perform dual estimation of parameters and state variables to test the prediction accuracy of the models. Finally, I present a novel model with time delay and a delay-dependent parameter. I provide a geometric stability result to study the behavior of this model and show that the inclusion of time delay may improve the accuracy of predictions. Also, I demonstrate with clinical data that the inclusion of the delay-dependent parameter facilitates the identification and estimation of parameters.
ContributorsBaez, Javier (Author) / Kuang, Yang (Thesis advisor) / Kostelich, Eric (Committee member) / Crook, Sharon (Committee member) / Gardner, Carl (Committee member) / Nagy, John (Committee member) / Arizona State University (Publisher)
Created2017
Description
This project uses fourteen transcriptions of Pete Fountain’s solos as examples to
demonstrate traditional jazz clarinet techniques and language in terms of motives,
patterns, and a variety of articulations. This project also includes guidelines on how to
practice jazz improvisation as well as how to apply Fountain’s techniques and jazz
language to one’s own improvisation. Though there are countless musicians who have
made remarkable contributions to the development of the jazz language, Pete Fountain’s
unique style is particularly worthy of study due to his massive media presence, effortless
playing techniques, unique tone quality, and showmanship throughout his career.
demonstrate traditional jazz clarinet techniques and language in terms of motives,
patterns, and a variety of articulations. This project also includes guidelines on how to
practice jazz improvisation as well as how to apply Fountain’s techniques and jazz
language to one’s own improvisation. Though there are countless musicians who have
made remarkable contributions to the development of the jazz language, Pete Fountain’s
unique style is particularly worthy of study due to his massive media presence, effortless
playing techniques, unique tone quality, and showmanship throughout his career.
ContributorsWu, Shengwen (Author) / Spring, Robert (Thesis advisor) / Gardner, Joshua (Thesis advisor) / Carpenter, Ellon (Committee member) / Kocour, Michael (Committee member) / DeMaris, Brian (Committee member) / Arizona State University (Publisher)
Created2019
Description
Earth-system models describe the interacting components of the climate system and
technological systems that affect society, such as communication infrastructures. Data
assimilation addresses the challenge of state specification by incorporating system
observations into the model estimates. In this research, a particular data
assimilation technique called the Local Ensemble Transform Kalman Filter (LETKF) is
applied to the ionosphere, which is a domain of practical interest due to its effects
on infrastructures that depend on satellite communication and remote sensing. This
dissertation consists of three main studies that propose strategies to improve space-
weather specification during ionospheric extreme events, but are generally applicable
to Earth-system models:
Topic I applies the LETKF to estimate ion density with an idealized model of
the ionosphere, given noisy synthetic observations of varying sparsity. Results show
that the LETKF yields accurate estimates of the ion density field and unobserved
components of neutral winds even when the observation density is spatially sparse
(2% of grid points) and there is large levels (40%) of Gaussian observation noise.
Topic II proposes a targeted observing strategy for data assimilation, which uses
the influence matrix diagnostic to target errors in chosen state variables. This
strategy is applied in observing system experiments, in which synthetic electron density
observations are assimilated with the LETKF into the Thermosphere-Ionosphere-
Electrodynamics Global Circulation Model (TIEGCM) during a geomagnetic storm.
Results show that assimilating targeted electron density observations yields on
average about 60%–80% reduction in electron density error within a 600 km radius of
the observed location, compared to 15% reduction obtained with randomly placed
vertical profiles.
Topic III proposes a methodology to account for systematic model bias arising
ifrom errors in parametrized solar and magnetospheric inputs. This strategy is ap-
plied with the TIEGCM during a geomagnetic storm, and is used to estimate the
spatiotemporal variations of bias in electron density predictions during the
transitionary phases of the geomagnetic storm. Results show that this strategy reduces
error in 1-hour predictions of electron density by about 35% and 30% in polar regions
during the main and relaxation phases of the geomagnetic storm, respectively.
technological systems that affect society, such as communication infrastructures. Data
assimilation addresses the challenge of state specification by incorporating system
observations into the model estimates. In this research, a particular data
assimilation technique called the Local Ensemble Transform Kalman Filter (LETKF) is
applied to the ionosphere, which is a domain of practical interest due to its effects
on infrastructures that depend on satellite communication and remote sensing. This
dissertation consists of three main studies that propose strategies to improve space-
weather specification during ionospheric extreme events, but are generally applicable
to Earth-system models:
Topic I applies the LETKF to estimate ion density with an idealized model of
the ionosphere, given noisy synthetic observations of varying sparsity. Results show
that the LETKF yields accurate estimates of the ion density field and unobserved
components of neutral winds even when the observation density is spatially sparse
(2% of grid points) and there is large levels (40%) of Gaussian observation noise.
Topic II proposes a targeted observing strategy for data assimilation, which uses
the influence matrix diagnostic to target errors in chosen state variables. This
strategy is applied in observing system experiments, in which synthetic electron density
observations are assimilated with the LETKF into the Thermosphere-Ionosphere-
Electrodynamics Global Circulation Model (TIEGCM) during a geomagnetic storm.
Results show that assimilating targeted electron density observations yields on
average about 60%–80% reduction in electron density error within a 600 km radius of
the observed location, compared to 15% reduction obtained with randomly placed
vertical profiles.
Topic III proposes a methodology to account for systematic model bias arising
ifrom errors in parametrized solar and magnetospheric inputs. This strategy is ap-
plied with the TIEGCM during a geomagnetic storm, and is used to estimate the
spatiotemporal variations of bias in electron density predictions during the
transitionary phases of the geomagnetic storm. Results show that this strategy reduces
error in 1-hour predictions of electron density by about 35% and 30% in polar regions
during the main and relaxation phases of the geomagnetic storm, respectively.
ContributorsDurazo, Juan, Ph.D (Author) / Kostelich, Eric J. (Thesis advisor) / Mahalov, Alex (Thesis advisor) / Tang, Wenbo (Committee member) / Moustaoui, Mohamed (Committee member) / Platte, Rodrigo (Committee member) / Arizona State University (Publisher)
Created2018