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Description
I believe the human mind is not an accurate reproducer of objects and events, but a tool that constructs their qualities. Philosophers Bowman Clarke, James John, and Amy Kind have argued for and against similar points, while Daniel Hoffman and Jay Dowling have debated cases from a psychological perspective. My understanding of their discourse surfaces in Cognize Normal-Like Pleez, a video installation designed to capture the enigmatic connection between perceivers and the things they perceive. The composition encapsulates this theme through a series of five videos that disseminate confusing imagery paired with mangled sounds. The miniatures operate in sequence on computer monitors set inside a haphazardously ornamented tower. Though the original sources for each video communicate clear, familiar subjects, the final product deliberately obscures them. Sometimes sounds and images flicker for only brief moments, perhaps too fast for the human mind to fully process. Though some information comes through, important data supplied by the surrounding context is absent.
I invite the audience to rationalize this complexing conglomerate and reflect on how their established biases inform their opinion of the work. Each person likely draws from his or her experiences, cultural conditioning, knowledge, and other personal factors in order to create an individual conceptualization of the installation. Their subjective conclusions reflect my belief concerning a neurological basis for the origin of qualities. One’s connection to Cognize’s images and sounds, to me, is not derived solely from characteristics inherent to it, but also endowed by one’s mind, which not only constructs the attributes one normally associates with the images and sounds (as opposed to the physics and biology that lead to their construction), but also seamlessly incorporates the aforementioned biases. I realize my ideas by focusing the topics of the videos and their setting around the transmission of information and its obfuscation. Just as one cannot see or hear past the perceptual barriers in Cognize, I believe one cannot escape his or her mind to “sense” qualities in an objective, disembodied manner, because the mind is necessary for perception.
I invite the audience to rationalize this complexing conglomerate and reflect on how their established biases inform their opinion of the work. Each person likely draws from his or her experiences, cultural conditioning, knowledge, and other personal factors in order to create an individual conceptualization of the installation. Their subjective conclusions reflect my belief concerning a neurological basis for the origin of qualities. One’s connection to Cognize’s images and sounds, to me, is not derived solely from characteristics inherent to it, but also endowed by one’s mind, which not only constructs the attributes one normally associates with the images and sounds (as opposed to the physics and biology that lead to their construction), but also seamlessly incorporates the aforementioned biases. I realize my ideas by focusing the topics of the videos and their setting around the transmission of information and its obfuscation. Just as one cannot see or hear past the perceptual barriers in Cognize, I believe one cannot escape his or her mind to “sense” qualities in an objective, disembodied manner, because the mind is necessary for perception.
ContributorsLempke, John Paul (Author) / Suzuki, Kotoka (Thesis advisor) / Knowles, Kristina (Committee member) / Stover, Chris (Committee member) / Arizona State University (Publisher)
Created2018
Description
Martin Ellerby (b. 1951) is a prominent composer for wind and brass bands, and his Euphonium Concerto and Baritone Concerto are among the best and most challenging works in the euphonium and baritone repertoire. This project aims to assist the performer in learning these important works by utilizing specific practice strategies.
Each work has been performed and thoroughly examined by the author in order to develop and offer specific strategies for learning each piece. This project utilizes identification of themes and motives, existing methods, suggested exercises, and suggestions from the premiere performers in order to develop a strategic practice regimen for learning these important works. The discussion of each movement begins with a brief thematic overview to identify the motives and ideas used to construct each movement. The musical content discovered through thematic and motivic identification is used to recommend modified exercises from Arban Complete Method for Trombone and Euphonium edited by Joseph Alessi and Dr. Brian Bowman, Clarke’s Technical Studies for The Cornet by Herbert L. Clarke, The Brass Gym: A Comprehensive Daily Workout for Brass Players by Sam Pilafian and Patrick Sheridan, Scale and Arpeggio Routines for Undergraduate & Graduate College & University Students by Milt Stevens and Brian Bowman, and “The Carmine Caruso Method” as taught by Julie Landsman. Each exercise presented is aimed to target a specific challenge of the movement being discussed and will facilitate effective and efficient practice of each work.
Each work has been performed and thoroughly examined by the author in order to develop and offer specific strategies for learning each piece. This project utilizes identification of themes and motives, existing methods, suggested exercises, and suggestions from the premiere performers in order to develop a strategic practice regimen for learning these important works. The discussion of each movement begins with a brief thematic overview to identify the motives and ideas used to construct each movement. The musical content discovered through thematic and motivic identification is used to recommend modified exercises from Arban Complete Method for Trombone and Euphonium edited by Joseph Alessi and Dr. Brian Bowman, Clarke’s Technical Studies for The Cornet by Herbert L. Clarke, The Brass Gym: A Comprehensive Daily Workout for Brass Players by Sam Pilafian and Patrick Sheridan, Scale and Arpeggio Routines for Undergraduate & Graduate College & University Students by Milt Stevens and Brian Bowman, and “The Carmine Caruso Method” as taught by Julie Landsman. Each exercise presented is aimed to target a specific challenge of the movement being discussed and will facilitate effective and efficient practice of each work.
ContributorsMarquardt, Benjamin (Author) / Swoboda, Deanna (Thesis advisor) / Eriscon, John (Committee member) / Suzuki, Kotoka (Committee member) / Arizona State University (Publisher)
Created2018
Description
Reverend Stormfield Goes to Heaven is an operetta in six scenes for seven vocalists and
flute, clarinet, horn, percussion, piano, violin, cello, and double bass. The work’s approximate length is 40 minutes. The libretto is written by the composer and based on the short story by Mark Twain titled “Captain Stormfield Goes to Heaven.” The short story features the typical biting sarcasm of Mark Twain. The libretto combines part of the original text with alterations to satirize modern day Christianity and religious values in general. The story follows Reverend Stormfield as she arrives in Heaven and quickly learns that the locations and people she expected to see and meet are shockingly different. The journey takes her through comical scenarios and deeper philosophical dilemmas, and in the end she is left to confront her own disturbing past.
The musical elements of the operetta include traditional and octatonic scales, twelve- tone rows and set theory based on the overriding intervallic relationship of the perfect fourth. The sets implemented as motivic ideas: 0-1-4-5, 0-1-6-7, and 0-2-5-7 are based on the perfect fourth and serve as the framework for many of the melodic ideas. The instruments provide an accompanimental role often incorporating melodic fragmentation and contrapuntal textures and techniques. Instrumental solos are featured prominently in arias and the instrumental interludes between scenes.
flute, clarinet, horn, percussion, piano, violin, cello, and double bass. The work’s approximate length is 40 minutes. The libretto is written by the composer and based on the short story by Mark Twain titled “Captain Stormfield Goes to Heaven.” The short story features the typical biting sarcasm of Mark Twain. The libretto combines part of the original text with alterations to satirize modern day Christianity and religious values in general. The story follows Reverend Stormfield as she arrives in Heaven and quickly learns that the locations and people she expected to see and meet are shockingly different. The journey takes her through comical scenarios and deeper philosophical dilemmas, and in the end she is left to confront her own disturbing past.
The musical elements of the operetta include traditional and octatonic scales, twelve- tone rows and set theory based on the overriding intervallic relationship of the perfect fourth. The sets implemented as motivic ideas: 0-1-4-5, 0-1-6-7, and 0-2-5-7 are based on the perfect fourth and serve as the framework for many of the melodic ideas. The instruments provide an accompanimental role often incorporating melodic fragmentation and contrapuntal textures and techniques. Instrumental solos are featured prominently in arias and the instrumental interludes between scenes.
ContributorsSakamoto, Dale Toshio (Author) / Rogers, Rodney (Thesis advisor) / Rockmaker, Jody (Committee member) / Suzuki, Kotoka (Committee member) / DeMars, James (Committee member) / Arizona State University (Publisher)
Created2019
Description
Light Emerging is a symphonic dance suite in five movements. The work’s approximate length is 25 minutes; it is scored for flute, oboe, clarinet in Bb, bassoon, horn in F, trumpet in C with loop pedal, trombone, percussion, electronic percussion, piano, strings, and fixed media. Each movement of the dance suite is written to be performed as a standalone piece or together as one multimovement work. The music showcases open quintal sonorities layered in conflicting substructures, which contract into denser brooding passages and transform into tonal fanfares.
Attempting to capture the essence of how humanity uniquely experiences light and assigns personification to it, the composer presents light and dark as the main characters in a grand ballet of good and evil. Prism (Movement I) is an overture that is constantly shifting and evolving. A rainbow of colors is presented by the various orchestra members, as timbral and pitch evolutions showcase the ever-changing perspectives of a prism held to light. Yin/Yang (Movement II) explores the relationship between light and dark. The solo clarinet represents light breaking through the darkness as its colorful flourishes pierce through the brooding fixed media. Sunrise (Movement III) captures the impressive majesty of light bursting over the dark horizon in the early morning. Lux (Movement IV) is a dance of light, using solo trumpet and a chorus of phantom trumpets. Light Eternal (Movement V) expresses the deep need for humans to worship that which is unknown and eternal, and the power of light to overcome the dark. The “March of Eternal Light” signals our end in this world and the journey to the beyond.
Attempting to capture the essence of how humanity uniquely experiences light and assigns personification to it, the composer presents light and dark as the main characters in a grand ballet of good and evil. Prism (Movement I) is an overture that is constantly shifting and evolving. A rainbow of colors is presented by the various orchestra members, as timbral and pitch evolutions showcase the ever-changing perspectives of a prism held to light. Yin/Yang (Movement II) explores the relationship between light and dark. The solo clarinet represents light breaking through the darkness as its colorful flourishes pierce through the brooding fixed media. Sunrise (Movement III) captures the impressive majesty of light bursting over the dark horizon in the early morning. Lux (Movement IV) is a dance of light, using solo trumpet and a chorus of phantom trumpets. Light Eternal (Movement V) expresses the deep need for humans to worship that which is unknown and eternal, and the power of light to overcome the dark. The “March of Eternal Light” signals our end in this world and the journey to the beyond.
ContributorsJohnson, Brice (Author) / Rogers, Rodney (Thesis advisor) / Rockmaker, Jody (Committee member) / Suzuki, Kotoka (Committee member) / Arizona State University (Publisher)
Created2019
Leveraging Machine Learning and Wireless Sensing for Robot Localization - Location Variance Analysis
Description
Object localization is used to determine the location of a device, an important aspect of applications ranging from autonomous driving to augmented reality. Commonly-used localization techniques include global positioning systems (GPS), simultaneous localization and mapping (SLAM), and positional tracking, but all of these methodologies have drawbacks, especially in high traffic indoor or urban environments. Using recent improvements in the field of machine learning, this project proposes a new method of localization using networks with several wireless transceivers and implemented without heavy computational loads or high costs. This project aims to build a proof-of-concept prototype and demonstrate that the proposed technique is feasible and accurate.
Modern communication networks heavily depend upon an estimate of the communication channel, which represents the distortions that a transmitted signal takes as it moves towards a receiver. A channel can become quite complicated due to signal reflections, delays, and other undesirable effects and, as a result, varies significantly with each different location. This localization system seeks to take advantage of this distinctness by feeding channel information into a machine learning algorithm, which will be trained to associate channels with their respective locations. A device in need of localization would then only need to calculate a channel estimate and pose it to this algorithm to obtain its location.
As an additional step, the effect of location noise is investigated in this report. Once the localization system described above demonstrates promising results, the team demonstrates that the system is robust to noise on its location labels. In doing so, the team demonstrates that this system could be implemented in a continued learning environment, in which some user agents report their estimated (noisy) location over a wireless communication network, such that the model can be implemented in an environment without extensive data collection prior to release.
Modern communication networks heavily depend upon an estimate of the communication channel, which represents the distortions that a transmitted signal takes as it moves towards a receiver. A channel can become quite complicated due to signal reflections, delays, and other undesirable effects and, as a result, varies significantly with each different location. This localization system seeks to take advantage of this distinctness by feeding channel information into a machine learning algorithm, which will be trained to associate channels with their respective locations. A device in need of localization would then only need to calculate a channel estimate and pose it to this algorithm to obtain its location.
As an additional step, the effect of location noise is investigated in this report. Once the localization system described above demonstrates promising results, the team demonstrates that the system is robust to noise on its location labels. In doing so, the team demonstrates that this system could be implemented in a continued learning environment, in which some user agents report their estimated (noisy) location over a wireless communication network, such that the model can be implemented in an environment without extensive data collection prior to release.
ContributorsChang, Roger (Co-author) / Kann, Trevor (Co-author) / Alkhateeb, Ahmed (Thesis director) / Bliss, Daniel (Committee member) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
At present, the vast majority of human subjects with neurological disease are still diagnosed through in-person assessments and qualitative analysis of patient data. In this paper, we propose to use Topological Data Analysis (TDA) together with machine learning tools to automate the process of Parkinson’s disease classification and severity assessment. An automated, stable, and accurate method to evaluate Parkinson’s would be significant in streamlining diagnoses of patients and providing families more time for corrective measures. We propose a methodology which incorporates TDA into analyzing Parkinson’s disease postural shifts data through the representation of persistence images. Studying the topology of a system has proven to be invariant to small changes in data and has been shown to perform well in discrimination tasks. The contributions of the paper are twofold. We propose a method to 1) classify healthy patients from those afflicted by disease and 2) diagnose the severity of disease. We explore the use of the proposed method in an application involving a Parkinson’s disease dataset comprised of healthy-elderly, healthy-young and Parkinson’s disease patients.
ContributorsRahman, Farhan Nadir (Co-author) / Nawar, Afra (Co-author) / Turaga, Pavan (Thesis director) / Krishnamurthi, Narayanan (Committee member) / Electrical Engineering Program (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
This creative project thesis involves electronic music composition and production, and it uses some elements of algorithmic music composition (through recurrent neural networks). Algorithmic composition techniques are used here as a tool in composing the pieces, but are not the main focus. Thematically, this project explores the analogy between artificial neural networks and neural activity in the brain. This project consists of three short pieces, each exploring these concept in different ways.
ContributorsKarpur, Ajay (Author) / Suzuki, Kotoka (Thesis director) / Ingalls, Todd (Committee member) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Epilepsy affects numerous people around the world and is characterized by recurring seizures, prompting the ability to predict them so precautionary measures may be employed. One promising algorithm extracts spatiotemporal correlation based features from intracranial electroencephalography signals for use with support vector machines. The robustness of this methodology is tested through a sensitivity analysis. Doing so also provides insight about how to construct more effective feature vectors.
ContributorsMa, Owen (Author) / Bliss, Daniel (Thesis director) / Berisha, Visar (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2015-05
Description
This paper introduces a wireless reconfigurable “button-type” pressure sensor system, via machine learning, for gait analysis application. The pressure sensor system consists of an array of independent button-type pressure sensing units interfaced with a remote computer. The pressure sensing unit contains pressure-sensitive resistors, readout electronics, and a wireless Bluetooth module, which are assembled within footprint of 40 × 25 × 6mm3. The small-footprint, low-profile sensors are populated onto a shoe insole, like buttons, to collect temporal pressure data. The pressure sensing unit measures pressures up to 2,000 kPa while maintaining an error under 10%. The reconfigurable pressure sensor array reduces the total power consumption of the system by 50%, allowing extended period of operation, up to 82.5 hrs. A robust machine learning program identifies the optimal pressure sensing units in any given configuration at an accuracy of up to 98%.
ContributorsBooth, Jayden Charles (Author) / Chae, Junseok (Thesis director) / Chen, Ang (Committee member) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
Description
“by my death...” is a composition in three movements for chamber ensemble and
laptop ensemble, with the instrumentation of clarinet in Bb, French horn in F, percussion, violin, double bass, and at least three laptops. The total duration of the piece is approximately twenty minutes. However, since the timing of the first and third movement is flexible, the total duration may vary.
“by my death...” is the creative culmination of my research into representations of
the Holocaust in music. More specifically, it corresponds to my analysis of three
Holocaust-based works by the Israeli composer Arie Shapira (1943-2015): Gideon Kleins Marterstrasse (1977), Gustl in Theresienstadt (1998-9), and Achtung Rapunzel (2007). I applied findings from the analysis in my own music, resonating Shapira's style, techniques, and expressive means. In a sense, “by my death...” is a homage to this composer, who had a strong influence on my path to dealing with the Holocaust in music.
My composition, however, is not necessarily about the Holocaust alone. It
concerns the larger Jewish historical narrative that is characterized by destruction and construction, with the Holocaust as a central, pivotal event. It reflect about the Holocaust within links between tradition and innovation, past and future, death and life, that are inherent to any aspect of Israeli culture, and that are intertwined within the Jewish narrative of extermination and resurrection.
laptop ensemble, with the instrumentation of clarinet in Bb, French horn in F, percussion, violin, double bass, and at least three laptops. The total duration of the piece is approximately twenty minutes. However, since the timing of the first and third movement is flexible, the total duration may vary.
“by my death...” is the creative culmination of my research into representations of
the Holocaust in music. More specifically, it corresponds to my analysis of three
Holocaust-based works by the Israeli composer Arie Shapira (1943-2015): Gideon Kleins Marterstrasse (1977), Gustl in Theresienstadt (1998-9), and Achtung Rapunzel (2007). I applied findings from the analysis in my own music, resonating Shapira's style, techniques, and expressive means. In a sense, “by my death...” is a homage to this composer, who had a strong influence on my path to dealing with the Holocaust in music.
My composition, however, is not necessarily about the Holocaust alone. It
concerns the larger Jewish historical narrative that is characterized by destruction and construction, with the Holocaust as a central, pivotal event. It reflect about the Holocaust within links between tradition and innovation, past and future, death and life, that are inherent to any aspect of Israeli culture, and that are intertwined within the Jewish narrative of extermination and resurrection.
ContributorsDori, Gil (Author) / Suzuki, Kotoka (Thesis advisor) / Feisst, Sabine (Committee member) / Paine, Garth (Committee member) / Arizona State University (Publisher)
Created2016