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In this thesis I introduce a new direction to computing using nonlinear chaotic dynamics. The main idea is rich dynamics of a chaotic system enables us to (1) build better computers that have a flexible instruction set, and (2) carry out computation that conventional computers are not good at it. Here I start from the theory, explaining how one can build a computing logic block using a chaotic system, and then I introduce a new theoretical analysis for chaos computing. Specifically, I demonstrate how unstable periodic orbits and a model based on them explains and predicts how and how well a chaotic system can do computation. Furthermore, since unstable periodic orbits and their stability measures in terms of eigenvalues are extractable from experimental times series, I develop a time series technique for modeling and predicting chaos computing from a given time series of a chaotic system. After building a theoretical framework for chaos computing I proceed to architecture of these chaos-computing blocks to build a sophisticated computing system out of them. I describe how one can arrange and organize these chaos-based blocks to build a computer. I propose a brand new computer architecture using chaos computing, which shifts the limits of conventional computers by introducing flexible instruction set. Our new chaos based computer has a flexible instruction set, meaning that the user can load its desired instruction set to the computer to reconfigure the computer to be an implementation for the desired instruction set. Apart from direct application of chaos theory in generic computation, the application of chaos theory to speech processing is explained and a novel application for chaos theory in speech coding and synthesizing is introduced. More specifically it is demonstrated how a chaotic system can model the natural turbulent flow of the air in the human speech production system and how chaotic orbits can be used to excite a vocal tract model. Also as another approach to build computing system based on nonlinear system, the idea of Logical Stochastic Resonance is studied and adapted to an autoregulatory gene network in the bacteriophage λ.
ContributorsKia, Behnam (Author) / Ditto, William (Thesis advisor) / Huang, Liang (Committee member) / Lai, Ying-Cheng (Committee member) / Helms Tillery, Stephen (Committee member) / Arizona State University (Publisher)
Created2011
Description
A void exists in public administration, criminology, and criminal justice research as it relates to the study of power in American policing agencies. This has significant ramifications for academia and practitioners in terms of how they view, address, study, and interpret behaviors/actions in American policing agencies and organizations in general. In brief, mainstream research on power in organizations does not take into account relationships of power that do not act directly, and immediately, on others. By placing its emphasis on an agency centric perspective of power, the mainstream approach to the study of power fails to recognize indirect power relationships that influence discourse, pedagogy, mechanisms of communication, knowledge, and individual behavior/actions. In support of a more holistic inquiry, this study incorporates a Foucauldian perspective of power along with an ethnographical methodology and methods to build a greater understanding of power in policing organizations. This ethnography of an American policing organization illuminates the relationship between the exercise of power and the objectification of the subject through the interplay of relationships of communication, goal oriented activities, and relationships of power. Specifically, the findings demonstrate that sworn officers and civilian employees are objectified distinctly and dissimilarly. In summary, this study argues that the exercise of power in this American policing organization objectifies the civilian employee as a second class citizen.
ContributorsBentley, Paul C (Author) / Catlaw, Thomas (Thesis advisor) / Musheno, Michael (Committee member) / Lucio, Joanna (Committee member) / Arizona State University (Publisher)
Created2013
Description
Mixed-income housing policy has been an approach to address the problem of concentrated poverty since the 1990s. The idea of income mix in housing is founded on the proposition that economic opportunities of the poor can be expanded through the increasing of their social capital. The current in-depth case study of Vineyard Estates, a mixed-income housing development in Phoenix, AZ tests a hypothesis that low-income people improve their chances of upward social mobility by building ties with more affluent residents within the development. This study combines qualitative and quantitative methods to collect and analyze information including analysis of demographic data, resident survey and in-depth semi-structured interviews with residents, as well as direct observations. It focuses on examining the role of social networks established within the housing development in generating positive economic outcomes of the poor. It also analyzes the role of factors influencing interactions across income groups and barriers to upward social mobility. Study findings do not support that living in mixed-income housing facilitates residents' upward social mobility. The study concludes that chances of upward social mobility are restrained by structural factors and indicates a need to rethink the effectiveness of mixed-income housing as an approach for alleviating poverty.
ContributorsDurova, Aleksandra (Author) / Kamel, Nabil (Committee member) / Pfeiffer, Deirdre (Committee member) / Lucio, Joanna (Committee member) / Arizona State University (Publisher)
Created2013
Description
Government performance and accountability have grown to be predominant areas within public administration literature over the last forty years. The research presented in this dissertation examines the relationship between citizen satisfaction and local government performance. Citizen review of service delivery provides vital feedback that facilitates better resource management within local government. Using data from a single jurisdiction, two aspects of citizen satisfaction are reviewed. This includes citizen review of overall city performance, and citizen satisfaction with individual service delivery. Logit regression analysis is used to test several factors that affect citizen evaluation of service delivery in local government, while ordinary least squares regression is used to test the relationship between personal factors and citizen evaluation of specific local services. The results generated four major findings that contribute to the scholarly body of knowledge and local government knowledge application. First, citizens who are predisposed to supporting the local jurisdiction are more likely to rate service delivery high. Second, customer service is important. Third, those who experience government services similarly will collectively react similarly to the service experience. Finally, the length of residency has an impact on satisfaction levels with specific services. Implications for the literature as well as for practice are discussed.
ContributorsMcNamara, Catherine (Author) / Alozie, Nicholas O (Thesis advisor) / Cayer, Joseph (Thesis advisor) / Lucio, Joanna (Committee member) / Arizona State University (Publisher)
Created2012
Description
Complex dynamical systems consisting interacting dynamical units are ubiquitous in nature and society. Predicting and reconstructing nonlinear dynamics of units and the complex interacting networks among them serves the base for the understanding of a variety of collective dynamical phenomena. I present a general method to address the two outstanding problems as a whole based solely on time-series measurements. The method is implemented by incorporating compressive sensing approach that enables an accurate reconstruction of complex dynamical systems in terms of both nodal equations that determines the self-dynamics of units and detailed coupling patterns among units. The representative advantages of the approach are (i) the sparse data requirement which allows for a successful reconstruction from limited measurements, and (ii) general applicability to identical and nonidentical nodal dynamics, and to networks with arbitrary interacting structure, strength and sizes. Another two challenging problem of significant interest in nonlinear dynamics: (i) predicting catastrophes in nonlinear dynamical systems in advance of their occurrences and (ii) predicting the future state for time-varying nonlinear dynamical systems, can be formulated and solved in the framework of compressive sensing using only limited measurements. Once the network structure can be inferred, the dynamics behavior on them can be investigated, for example optimize information spreading dynamics, suppress cascading dynamics and traffic congestion, enhance synchronization, game dynamics, etc. The results can yield insights to control strategies design in the real-world social and natural systems. Since 2004, there has been a tremendous amount of interest in graphene. The most amazing feature of graphene is that there exists linear energy-momentum relationship when energy is low. The quasi-particles inside the system can be treated as chiral, massless Dirac fermions obeying relativistic quantum mechanics. Therefore, the graphene provides one perfect test bed to investigate relativistic quantum phenomena, such as relativistic quantum chaotic scattering and abnormal electron paths induced by klein tunneling. This phenomenon has profound implications to the development of graphene based devices that require stable electronic properties.
ContributorsYang, Rui (Author) / Lai, Ying-Cheng (Thesis advisor) / Duman, Tolga M. (Committee member) / Akis, Richard (Committee member) / Huang, Liang (Committee member) / Arizona State University (Publisher)
Created2012
Description
What can classical chaos do to quantum systems is a fundamental issue highly relevant to a number of branches in physics. The field of quantum chaos has been active for three decades, where the focus was on non-relativistic quantumsystems described by the Schr¨odinger equation. By developing an efficient method to solve the Dirac equation in the setting where relativistic particles can tunnel between two symmetric cavities through a potential barrier, chaotic cavities are found to suppress the spread in the tunneling rate. Tunneling rate for any given energy assumes a wide range that increases with the energy for integrable classical dynamics. However, for chaotic underlying dynamics, the spread is greatly reduced. A remarkable feature, which is a consequence of Klein tunneling, arise only in relativistc quantum systems that substantial tunneling exists even for particle energy approaching zero. Similar results are found in graphene tunneling devices, implying high relevance of relativistic quantum chaos to the development of such devices. Wave propagation through random media occurs in many physical systems, where interesting phenomena such as branched, fracal-like wave patterns can arise. The generic origin of these wave structures is currently a matter of active debate. It is of fundamental interest to develop a minimal, paradigmaticmodel that can generate robust branched wave structures. In so doing, a general observation in all situations where branched structures emerge is non-Gaussian statistics of wave intensity with an algebraic tail in the probability density function. Thus, a universal algebraic wave-intensity distribution becomes the criterion for the validity of any minimal model of branched wave patterns. Coexistence of competing species in spatially extended ecosystems is key to biodiversity in nature. Understanding the dynamical mechanisms of coexistence is a fundamental problem of continuous interest not only in evolutionary biology but also in nonlinear science. A continuous model is proposed for cyclically competing species and the effect of the interplay between the interaction range and mobility on coexistence is investigated. A transition from coexistence to extinction is uncovered with a non-monotonic behavior in the coexistence probability and switches between spiral and plane-wave patterns arise. Strong mobility can either promote or hamper coexistence, while absent in lattice-based models, can be explained in terms of nonlinear partial differential equations.
ContributorsNi, Xuan (Author) / Lai, Ying-Cheng (Thesis advisor) / Huang, Liang (Committee member) / Yu, Hongbin (Committee member) / Akis, Richard (Committee member) / Arizona State University (Publisher)
Created2012
Description
With more than one third of Americans considered to be obese, obesity is a public health issue in the United States. While obesity is linked to and caused by a number of factors, sugar sweetened beverage (SSB) consumption is a major contributor to increased obesity rates. For the purposes of this paper, SSBs will include any beverage in which sugar is added. This includes juices that are not 100% fruit juice, coffee or tea drinks that are sugar sweetened, energy or sport drinks, and most commonly, soda. Excess sugar in the diet is substantially linked to obesity and negative health effects. SSBs represent the primary source of added sugar in the average American diet. Part I of this paper will discuss obesity as a public health problem and establish the link between consumption of SSBs and poor health effects. Part II will discuss the public policy instrument families and the strengths and weaknesses of each policy approach. Part III will identify current policies specifically focused on curbing SSB consumption. Each policy will be analyzed for efficacy based on available scientific research. Lastly, Part IV will propose new policy alternatives and ways to improve current policies. A final policy recommendation will be presented as an ideal roadmap for policy makers looking to address the link between SSB consumption and obesity.
ContributorsSaria, Matthew Ricardo (Author) / Lucio, Joanna (Thesis director) / Holland, Thomas (Committee member) / School of Public Affairs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The objective of this study was to access whether there were any associations between food insecurity, weight status and emotional eating for adults and youth, and to discover whether emotional eating was prevalent for both age groups. By gathering participants from six various low-income housing communities throughout the Phoenix, Arizona, the researchers were able to gather data from 114 participants, 57 adults and 57 youth. The participants were a convenience sample, and were recruited by flyers sent via the mail and door-to-door announcements in the spring and summer of 2014. The adult and youth were asked to complete a survey that was part of a larger study, which included the Weight-Related Eating Questionnaire to access the participants' emotional eating. The participants' height and weight were measured manually and were integrated into the BMI system, and the participants' food insecurity statuses were validated using the US Household Food Security Survey. The results of the study illustrated associations between food insecurity and emotional eating for adults, but not for youth. In addition, there were no associations between adults' emotional eating and their child's emotional eating. The results from this study were consisted with the current research examining the associations of food insecurity and emotional eating, where there is only a correlation between food insecurity and emotional eating for adults. However, this study was not consistent with past research accessing the associations between adults' emotional eating and their child's emotional eating since this study found no relationship between the two. Being that a cross-sectional survey-based research was incorporated into this study, further research needs to explore on food insecurity, weight status and emotional eating to determine their causality.
ContributorsVannortrick, Taylor Michelle (Author) / Bruening, Meg (Thesis director) / Lucio, Joanna (Committee member) / School of Nutrition and Health Promotion (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
Description
Based upon personal involvement from August 2010 to July 2014 as a Marine Option Midshipman within the ASU Naval Reserves Officer Training Corps (NROTC), being a student of leadership training within my degree plan, and gender difference research I conducted, this creative project addresses potential issues that reside within the ASU NROTC and the ways in which the program overall can be changed for the Marine Options in order to bring about proper success and organization. In order to officially become a Marine within the Unites States Marine Corps, it is necessary for Marine Option students to fulfill Officer Candidate School (OCS) at Quantico, Virginia. As the first female to go through OCS as a midshipman from the ASU NROTC, I found that there is an inadequate amount of preparation and training given in regards to the gender differences and what is to be expected for successful completion. I will offer a brief history regarding the NROTC across the Unites States and the ASU NROTC itself. These subjects will cover the program layouts as well as the leadership training that is required and provided within it and the ways in which this is conducted. I will then compare and contrast this to the leadership training given to me within my study of Leadership and Ethics regarding the transformational leadership, gender-based leadership, and coercive leadership. Finally, I end my thesis with a reflection of personal experiences taken away from these avenues and offer recommendations to better equip the ASU NROTC program in having successful retention and success of the female Marine Option midshipman.
ContributorsCamarena, Leonor Jimenez (Author) / Lucio, Joanna (Thesis director) / Warnicke, Margaretha (Committee member) / Barrett, The Honors College (Contributor) / School of Public Affairs (Contributor)
Created2014-12
Description
ABSTRACT This research examines what contextual elements shape a community court. In the past several decades, the court system has lost trust with the American public. Citizens thought the courts were too complex, expensive, didn't address the issues of crime, and were out of touch with their communities. A movement called community justice began to grow in the 1990s. As part of this movement the concept of problem solving courts grew. Community focused courts were part of this. Community courts are unique in that the courts reach out to the community to help solve problems identified by citizens, businesses, and others in that area. Various stakeholders are involved in the planning, implementation, and operation of these courts, working together to address issues that arise from those who commit a crime and come before the court. Four community courts were examined using the case study method, examining the literature and conducting interviews, and a model was developed based on these courts. Two additional courts were examined, having been established after judges from their respective communities had attended a national seminar on community focused courts. These two courts were then compared to the model. Based on the model, areas most likely to develop a community court were identified. Additionally, the model can be utilized to indicate how these courts can be successful or fail. Other issues that were examined were how community courts differ from traditional courts and how this could impact judicial impartiality and independence, and the traditional adversary system.
ContributorsDicus, Bonnie Carol (Author) / Cayer, N. J. (Thesis advisor) / Alozie, Nicolas (Committee member) / Lucio, Joanna (Committee member) / Arizona State University (Publisher)
Created2010