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- Genre: Doctoral Dissertation
Description
Wind measurements are fundamental inputs for the evaluation of potential energy yield and performance of wind farms. Three-dimensional scanning coherent Doppler lidar (CDL) may provide a new basis for wind farm site selection, design, and control. In this research, CDL measurements obtained from multiple wind energy developments are analyzed and a novel wind farm control approach has been modeled. The possibility of using lidar measurements to more fully characterize the wind field is discussed, specifically, terrain effects, spatial variation of winds, power density, and the effect of shear at different layers within the rotor swept area. Various vector retrieval methods have been applied to the lidar data, and results are presented on an elevated terrain-following surface at hub height. The vector retrieval estimates are compared with tower measurements, after interpolation to the appropriate level. CDL data is used to estimate the spatial power density at hub height. Since CDL can measure winds at different vertical levels, an approach for estimating wind power density over the wind turbine rotor-swept area is explored. Sample optimized layouts of wind farm using lidar data and global optimization algorithms, accounting for wake interaction effects, have been explored. An approach to evaluate spatial wind speed and direction estimates from a standard nested Coupled Ocean and Atmosphere Mesoscale Prediction System (COAMPS) model and CDL is presented. The magnitude of spatial difference between observations and simulation for wind energy assessment is researched. Diurnal effects and ramp events as estimated by CDL and COAMPS were inter-compared. Novel wind farm control based on incoming winds and direction input from CDL's is developed. Both yaw and pitch control using scanning CDL for efficient wind farm control is analyzed. The wind farm control optimizes power production and reduces loads on wind turbines for various lidar wind speed and direction inputs, accounting for wind farm wake losses and wind speed evolution. Several wind farm control configurations were developed, for enhanced integrability into the electrical grid. Finally, the value proposition of CDL for a wind farm development, based on uncertainty reduction and return of investment is analyzed.
ContributorsKrishnamurthy, Raghavendra (Author) / Calhoun, Ronald J (Thesis advisor) / Chen, Kangping (Committee member) / Huang, Huei-Ping (Committee member) / Fraser, Matthew (Committee member) / Phelan, Patrick (Committee member) / Arizona State University (Publisher)
Created2013
Description
Unauthorized immigrants account for approximately one fourth of all immigrants in the United States, yet they dominate public perceptions and are at the heart of a policy impasse. Caught in the middle are the children of these immigrants--youth who are coming of age and living in the shadows; they are an invisible cohort. An estimated 5.5 million children and adolescents are growing up with unauthorized immigrant parents, and are experiencing multiple, and yet unrecognized developmental consequences of their families' existence in the shadow of the law. Although these youth are American in spirit and voice, they are, nonetheless, members of families that are "illegal" in the eyes of the law. Many children have been exiled to México; these are the children living in the shadows of Mexican diaspora, Los Retornos. This phenomenological study developed a conceptual framework to examine the effects in which being an exiled United States citizen living in Morelia, Michoacán, affected these many children and adolescents. Bourdieu's (1977) theoretical framework is used in this study and is based on his social, cultural capital concept; the assumption is that Los Retornos carry valuable sociocultural, bilingual and monoliterate capital that is endangered, unrecognized, replaceable, and not used to the best interest of students in schools. This study made use of this framework to answer the following questions: 1. How do Retorno families (nuclear and extended) develop the self-efficacy needed to preserve the social and cultural capital they bring with them to Michoacán? 2. How are communities and identity forms imagined and created in the context of this new migration shift? 3. How are Los Retornos responding to the involuntary shift (N=7) from the U.S to Michoacán? 4. How are teachers adjusting their classroom practices and curriculum to meet the academic needs of Los Retornos? The purpose of this qualitative phenomenological study is to improve understanding of Los Retornos. This phenomenological case study is focused on identifying experiences Los Retornos encounter in their schools and family lives through their personal migration experience to illuminate how best to help them preserve the social and cultural, capital they bring with them. The findings from this study may assist educators and policy makers in developing interventions and policies that meet the needs of this cohort.
ContributorsQuezada Sanders, Irene Genevieve (Author) / Ovando, Carlos J. (Thesis advisor) / Mccarty, Teresa L. (Committee member) / De Los Santos Jr., Alfredo G. (Committee member) / Arizona State University (Publisher)
Created2013
Description
This dissertation investigates the long-term consequences of human land-use practices in general, and in early agricultural villages in specific. This pioneering case study investigates the "collapse" of the Early (Pre-Pottery) Neolithic lifeway, which was a major transformational event marked by significant changes in settlement patterns, material culture, and social markers. To move beyond traditional narratives of cultural collapse, I employ a Complex Adaptive Systems approach to this research, and combine agent-based computer simulations of Neolithic land-use with dynamic and spatially-explicit GIS-based environmental models to conduct experiments into long-term trajectories of different potential Neolithic socio-environmental systems. My analysis outlines how the Early Neolithic "collapse" was likely instigated by a non-linear sequence of events, and that it would have been impossible for Neolithic peoples to recognize the long-term outcome of their actions. The experiment-based simulation approach shows that, starting from the same initial conditions, complex combinations of feedback amplification, stochasticity, responses to internal and external stimuli, and the accumulation of incremental changes to the socio-natural landscape, can lead to widely divergent outcomes over time. Thus, rather than being an inevitable consequence of specific Neolithic land-use choices, the "catastrophic" transformation at the end of the Early Neolithic was an emergent property of the Early Neolithic socio-natural system itself, and thus likely not an easily predictable event. In this way, my work uses the technique of simulation modeling to connect CAS theory with the archaeological and geoarchaeological record to help better understand the causes and consequences of socio-ecological transformation at a regional scale. The research is broadly applicable to other archaeological cases of resilience and collapse, and is truly interdisciplinary in that it draws on fields such as geomorphology, computer science, and agronomy in addition to archaeology.
ContributorsUllah, Isaac (Author) / Barton, C. Michael (Thesis advisor) / Banning, Edward B. (Committee member) / Clark, Geoffrey (Committee member) / Arrowsmith, J. Ramon (Committee member) / Arizona State University (Publisher)
Created2013
Description
Examining the elements of the hidden curriculum in theatre education allows theatre educators the opportunity to reflect on their own pedagogy and its effects on the learner. The hidden curriculum refers to the unspoken or implicit values, norms, and beliefs that are transmitted through tacit messages. When the hidden curriculum remains veiled, the impact on the learner's education and socialization process can perpetuate gender, race, and class inequalities. In order to understand how the hidden curriculum manifests itself in theatre classrooms, we have to look at schools as "agents of legitimation, organized to produce and reproduce the dominant categories, values, and social relationships necessary for the maintenance of the larger society" (Giroux, 1983, p. 72). This qualitative study examined the hidden curriculum in theatre at the secondary level and looked at theatre teachers' pedagogy in reproducing elements of the hidden curriculum. Interviews, naturalistic observation, and a researcher reflective journal were employed in the data collection process to better understand: a) the elements of hidden curriculum that appear in theatre education at the secondary level, b) how the pedagogical practices of theatre teachers support societal structures, and c) how the hidden curriculum in theatre reinforces gender, race, and social class distinctions. Data were then coded and analyzed to find emergent themes. Multiple theoretical perspectives serve as a conceptual framework for understanding the hidden curriculum, and provide a neglected perspective of the hidden curriculum in theatre education. The theatre classroom provides a unique space to view hidden curriculum and can be viewed as a unique agent of social change. Themes related to the first research question emerged as: a) privileges for older students, b) school rules, c) respect for authority, d) acceptance of repetitive tasks, and c) punctuality. Themes related to the second research question emerged as: a) practices, b) procedures, c) rules, d) relationships, and e) structures. Finally, themes related to the third question emerged as: a) reinforcement of social inequality, b) perpetuation of class structure, and c) acceptance of social destiny. The discussion looks at the functions of theatre pedagogy in the reproduction of class, inequality, and institutionalized cultural norms.
ContributorsHines, Angela R (Author) / Saldana, Johnny (Thesis advisor) / Malewski, Erik (Committee member) / Fischman, Gustavo (Committee member) / Arizona State University (Publisher)
Created2013
Description
Sparsity has become an important modeling tool in areas such as genetics, signal and audio processing, medical image processing, etc. Via the penalization of l-1 norm based regularization, the structured sparse learning algorithms can produce highly accurate models while imposing various predefined structures on the data, such as feature groups or graphs. In this thesis, I first propose to solve a sparse learning model with a general group structure, where the predefined groups may overlap with each other. Then, I present three real world applications which can benefit from the group structured sparse learning technique. In the first application, I study the Alzheimer's Disease diagnosis problem using multi-modality neuroimaging data. In this dataset, not every subject has all data sources available, exhibiting an unique and challenging block-wise missing pattern. In the second application, I study the automatic annotation and retrieval of fruit-fly gene expression pattern images. Combined with the spatial information, sparse learning techniques can be used to construct effective representation of the expression images. In the third application, I present a new computational approach to annotate developmental stage for Drosophila embryos in the gene expression images. In addition, it provides a stage score that enables one to more finely annotate each embryo so that they are divided into early and late periods of development within standard stage demarcations. Stage scores help us to illuminate global gene activities and changes much better, and more refined stage annotations improve our ability to better interpret results when expression pattern matches are discovered between genes.
ContributorsYuan, Lei (Author) / Ye, Jieping (Thesis advisor) / Wang, Yalin (Committee member) / Xue, Guoliang (Committee member) / Kumar, Sudhir (Committee member) / Arizona State University (Publisher)
Created2013
Description
Teacher attrition and the migration between schools and districts can have a negative impact on quality of education and teacher performance. Novice teachers leave the profession because they are overwhelmed by the workload and responsibilities of the job. In a previous action research cycle, I found that novice teachers' perceptions of isolation and lack of opportunities to share experiences had a negative effect on teacher perceptions of efficacy. This action research project examines the effect of leveraging social media and professional learning communities to provide opportunities for a group of novice teachers to share experiences and seek advice. By addressing the challenges that novice teachers face and providing solutions for common problems, it is the hope of this researcher that highly effective teachers will remain in the classroom. The results of the study indicate that the combined use of Twitter and YouTube in collaboration with professional learning communities will improve teacher perceptions of efficacy. Teachers who participated in the social media based professional learning communities are also more likely to remain in the classroom.
ContributorsBostick, Bradley Alan (Author) / Zambo, Ronald (Thesis advisor) / Heck, Thomas (Committee member) / Isai, Shelley (Committee member) / Arizona State University (Publisher)
Created2013
Description
The rapid escalation of technology and the widespread emergence of modern technological equipments have resulted in the generation of humongous amounts of digital data (in the form of images, videos and text). This has expanded the possibility of solving real world problems using computational learning frameworks. However, while gathering a large amount of data is cheap and easy, annotating them with class labels is an expensive process in terms of time, labor and human expertise. This has paved the way for research in the field of active learning. Such algorithms automatically select the salient and exemplar instances from large quantities of unlabeled data and are effective in reducing human labeling effort in inducing classification models. To utilize the possible presence of multiple labeling agents, there have been attempts towards a batch mode form of active learning, where a batch of data instances is selected simultaneously for manual annotation. This dissertation is aimed at the development of novel batch mode active learning algorithms to reduce manual effort in training classification models in real world multimedia pattern recognition applications. Four major contributions are proposed in this work: $(i)$ a framework for dynamic batch mode active learning, where the batch size and the specific data instances to be queried are selected adaptively through a single formulation, based on the complexity of the data stream in question, $(ii)$ a batch mode active learning strategy for fuzzy label classification problems, where there is an inherent imprecision and vagueness in the class label definitions, $(iii)$ batch mode active learning algorithms based on convex relaxations of an NP-hard integer quadratic programming (IQP) problem, with guaranteed bounds on the solution quality and $(iv)$ an active matrix completion algorithm and its application to solve several variants of the active learning problem (transductive active learning, multi-label active learning, active feature acquisition and active learning for regression). These contributions are validated on the face recognition and facial expression recognition problems (which are commonly encountered in real world applications like robotics, security and assistive technology for the blind and the visually impaired) and also on collaborative filtering applications like movie recommendation.
ContributorsChakraborty, Shayok (Author) / Panchanathan, Sethuraman (Thesis advisor) / Balasubramanian, Vineeth N. (Committee member) / Li, Baoxin (Committee member) / Mittelmann, Hans (Committee member) / Ye, Jieping (Committee member) / Arizona State University (Publisher)
Created2013
Description
The purpose of this study was to examine the attitudes and opinions of Navajo students toward the Navajo language and culture programs within the schools they were attending. Although in the final year of the No Child Left Behind, a majority of the 265 schools on and near the Navajo reservation have not been making Adequate Yearly Progress, a concern for the parents, teachers, administrators, school board members, and the Navajo Nation. The study entailed conducting a survey at five schools; three of which were not meeting the requirements of the No Child Left Behind. The purpose of the survey instrument (27 questions) administered to the students at the five schools was to examine their attitudes and opinions as to participating in Navajo language and culture programs, to determine if the programs assisted them in their academic achievements, and to examine whether these programs actually made a difference for schools in their Adequate Yearly Progress requirement Approximately 87% of 99 Navajo students, 55 boys and 58 girls, ages 9 through 14, Grades 3 through 8, who lived off the reservation in Flagstaff, Arizona and Gallup, New Mexico, and took the survey knew and spoke Navajo, but less fluently and not to a great extent. However, the students endorsed learning Navajo and strongly agreed that the Navajo language and culture should be part of the curriculum. Historically there have been schools such as the Rock Point Community School, Rough Rock Demonstration School, Borrego Pass Community School, and Ramah Community School that have been successful in their implementation of bilingual programs. The question presently facing Navajo educators is what type of programs would be successful within the context of the No Child Left Behind federal legislation. Can there be replications of successful Navajo language and culture programs into schools that are not making Adequate Yearly Progress?
ContributorsTsosie, David J (Author) / Spencer, Dee A. (Thesis advisor) / Appleton, Nicholas A. (Committee member) / Koerperich, Robbie (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
The dynamics of urban water use are characterized by spatial and temporal variability that is influenced by associated factors at different scales. Thus it is important to capture the relationship between urban water use and its determinants in a spatio-temporal framework in order to enhance understanding and management of urban water demand. This dissertation aims to contribute to understanding the spatio-temporal relationships between single-family residential (SFR) water use and its determinants in a desert city. The dissertation has three distinct papers to support this goal. In the first paper, I demonstrate that aggregated scale data can be reliably used to study the relationship between SFR water use and its determinants without leading to significant ecological fallacy. The usability of aggregated scale data facilitates scientific inquiry about SFR water use with more available aggregated scale data. The second paper advances understanding of the relationship between SFR water use and its associated factors by accounting for the spatial and temporal dependence in a panel data setting. The third paper of this dissertation studies the historical contingency, spatial heterogeneity, and spatial connectivity in the relationship of SFR water use and its determinants by comparing three different regression models. This dissertation demonstrates the importance and necessity of incorporating spatio-temporal components, such as scale, dependence, and heterogeneity, into SFR water use research. Spatial statistical models should be used to understand the effects of associated factors on water use and test the effectiveness of certain management policies since spatial effects probably will significantly influence the estimates if only non-spatial statistical models are used. Urban water demand management should pay attention to the spatial heterogeneity in predicting the future water demand to achieve more accurate estimates, and spatial statistical models provide a promising method to do this job.
ContributorsOuyang, Yun (Author) / Wentz, Elizabeth (Thesis advisor) / Ruddell, Benjamin (Thesis advisor) / Harlan, Sharon (Committee member) / Janssen, Marcus (Committee member) / Arizona State University (Publisher)
Created2013