Matching Items (43,917)
Description
Many school facility-planning theories have proposed an integrated role for schools within their surrounding neighborhood, advocating analogous approaches to creating "community schools" that involve social and community services at school sites that support both students and local residents. Despite the popularity of this concept in the education community, the idea of schools as community centers has not entered the mainstream of urban planning thought or practice. As the community schools movement continues to grow, planners should be engaged to support and leverage community school developments using their unique role as mediators of public and private interests. Furthermore, planners tend to have a broad perspective of communities that can facilitate synergistic partnerships and development patterns beyond the immediate school site. The aim of this research was to reframe the existing literature on community schools into a unified School-Oriented Development (SOD) neighborhood planning paradigm that 1) proposes a typology based on the relationships between schools and their surrounding communities, and 2) suggests urban form guidelines that will support these relationships in a child-friendly environment. These outcomes were achieved through the creation of a prototype SOD SmartCode Module that incorporates an SOD typology.
Contributors
Reid, Carolyn (Author) / Talen, Emily (Thesis advisor) / Dornfeld, Leslie (Committee member) / Stein, Jay (Committee member) / Arizona State University (Publisher)
Created
2011
Description
In this thesis, I investigate the C*-algebras and related constructions that arise from combinatorial structures such as directed graphs and their generalizations. I give a complete characterization of the C*-correspondences associated to directed graphs as well as results about obstructions to a similar characterization of these objects for generalizations of directed graphs. Viewing the higher-dimensional analogues of directed graphs through the lens of product systems, I give a rigorous proof that topological k-graphs are essentially product systems over N^k of topological graphs. I introduce a "compactly aligned" condition for such product systems of graphs and show that this coincides with the similarly-named conditions for topological k-graphs and for the associated product systems over N^k of C*-correspondences. Finally I consider the constructions arising from topological dynamical systems consisting of a locally compact Hausdorff space and k commuting local homeomorphisms. I show that in this case, the associated topological k-graph correspondence is isomorphic to the product system over N^k of C*-correspondences arising from a related Exel-Larsen system. Moreover, I show that the topological k-graph C*-algebra has a crossed product structure in the sense of Larsen.
Contributors
Patani, Nura (Author) / Kaliszewski, Steven (Thesis advisor) / Quigg, John (Thesis advisor) / Bremner, Andrew (Committee member) / Kawski, Matthias (Committee member) / Spielberg, John (Committee member) / Arizona State University (Publisher)
Created
2011
Description
Most existing approaches to complex event processing over streaming data rely on the assumption that the matches to the queries are rare and that the goal of the system is to identify these few matches within the incoming deluge of data. In many applications, such as stock market analysis and user credit card purchase pattern monitoring, however the matches to the user queries are in fact plentiful and the system has to efficiently sift through these many matches to locate only the few most preferable matches. In this work, we propose a complex pattern ranking (CPR) framework for specifying top-k pattern queries over streaming data, present new algorithms to support top-k pattern queries in data streaming environments, and verify the effectiveness and efficiency of the proposed algorithms. The developed algorithms identify top-k matching results satisfying both patterns as well as additional criteria. To support real-time processing of the data streams, instead of computing top-k results from scratch for each time window, we maintain top-k results dynamically as new events come and old ones expire. We also develop new top-k join execution strategies that are able to adapt to the changing situations (e.g., sorted and random access costs, join rates) without having to assume a priori presence of data statistics. Experiments show significant improvements over existing approaches.
Contributors
Wang, Xinxin (Author) / Candan, K. Selcuk (Thesis advisor) / Chen, Yi (Committee member) / Davulcu, Hasan (Committee member) / Arizona State University (Publisher)
Created
2011
Description
Programmable Metallization Cell (PMC) is a technology platform which utilizes mass transport in solid or liquid electrolyte coupled with electrochemical (redox) reactions to form or remove nanoscale metallic electrodeposits on or in the electrolyte. The ability to redistribute metal mass and form metallic nanostructure in or on a structure in situ, via the application of a bias on laterally placed electrodes, creates a large number of promising applications. A novel PMC-based lateral microwave switch was fabricated and characterized for use in microwave systems. It has demonstrated low insertion loss, high isolation, low voltage operation, low power and low energy consumption, and excellent linearity. Due to its non-volatile nature the switch operates with fewer biases and its simple planar geometry makes possible innovative device structures which can be potentially integrated into microwave power distribution circuits. PMC technology is also used to develop lateral dendritic metal electrodes. A lateral metallic dendritic network can be grown in a solid electrolyte (GeSe) or electrodeposited on SiO2 or Si using a water-mediated method. These dendritic electrodes grown in a solid electrolyte (GeSe) can be used to lower resistances for applications like self-healing interconnects despite its relatively low light transparency; while the dendritic electrodes grown using water-mediated method can be potentially integrated into solar cell applications, like replacing conventional Ag screen-printed top electrodes as they not only reduce resistances but also are highly transparent. This research effort also laid a solid foundation for developing dendritic plasmonic structures. A PMC-based lateral dendritic plasmonic structure is a device that has metallic dendritic networks grown electrochemically on SiO2 with a thin layer of surface metal nanoparticles in liquid electrolyte. These structures increase the distribution of particle sizes by connecting pre-deposited Ag nanoparticles into fractal structures and result in three significant effects, resonance red-shift, resonance broadening and resonance enhancement, on surface plasmon resonance for light trapping simultaneously, which can potentially enhance thin film solar cells' performance at longer wavelengths.
Contributors
Ren, Minghan (Author) / Kozicki, Michael (Thesis advisor) / Schroder, Dieter (Committee member) / Roedel, Ronald (Committee member) / Barnaby, Hugh (Committee member) / Arizona State University (Publisher)
Created
2011
Description
ABSTRACT Research suggests that there are benefits of early intervention and in focusing on mental health for infants and toddlers who have been maltreated. Court Teams for Infants and Toddlers is a model program designed to improve developmental outcomes using a systemic change approach. Multi-system collaboration between the courts, child welfare, health professionals, child advocates, and community partners are promoted to increase awareness and improve outcomes for infants and toddlers who have been removed from their parents. The Court Teams model in Arizona is known as Best for Babies. This study looks at implementation efforts of Best for Babies in two counties, Yavapai and Pima, and the unique perspectives of foster parents and attorneys representing the infants and toddlers while in the foster care system. It is important for purposes of effective program implementation to understand whether the Best for Babies program has impacted how these stakeholders address the unique needs of infants and toddlers. Findings reveal that most foster parents in this study were not familiar with the Best for Babies program; however, many of the comments shared are aligned with the values of the program. For example, all participants commented that collaboration among various stakeholders is necessary. Areas of opportunity were also illustrated in the findings regarding Best for Babies program implementation. For instance, the study found that even those foster parents familiar with the program could not attribute an impact on their care of infants and toddlers specifically to Best for Babies.
Contributors
White, Jennifer (Author) / Krysik, Judy (Thesis advisor) / Roe-Sepowitz, Dominique (Committee member) / Ayón, Cecilia (Committee member) / Arizona State University (Publisher)
Created
2011
Description
The theme for this work is the development of fast numerical algorithms for sparse optimization as well as their applications in medical imaging and source localization using sensor array processing. Due to the recently proposed theory of Compressive Sensing (CS), the $\ell_1$ minimization problem attracts more attention for its ability to exploit sparsity. Traditional interior point methods encounter difficulties in computation for solving the CS applications. In the first part of this work, a fast algorithm based on the augmented Lagrangian method for solving the large-scale TV-$\ell_1$ regularized inverse problem is proposed. Specifically, by taking advantage of the separable structure, the original problem can be approximated via the sum of a series of simple functions with closed form solutions. A preconditioner for solving the block Toeplitz with Toeplitz block (BTTB) linear system is proposed to accelerate the computation. An in-depth discussion on the rate of convergence and the optimal parameter selection criteria is given. Numerical experiments are used to test the performance and the robustness of the proposed algorithm to a wide range of parameter values. Applications of the algorithm in magnetic resonance (MR) imaging and a comparison with other existing methods are included. The second part of this work is the application of the TV-$\ell_1$ model in source localization using sensor arrays. The array output is reformulated into a sparse waveform via an over-complete basis and study the $\ell_p$-norm properties in detecting the sparsity. An algorithm is proposed for minimizing a non-convex problem. According to the results of numerical experiments, the proposed algorithm with the aid of the $\ell_p$-norm can resolve closely distributed sources with higher accuracy than other existing methods.
Contributors
Shen, Wei (Author) / Mittlemann, Hans D (Thesis advisor) / Renaut, Rosemary A. (Committee member) / Jackiewicz, Zdzislaw (Committee member) / Gelb, Anne (Committee member) / Ringhofer, Christian (Committee member) / Arizona State University (Publisher)
Created
2011
Description
There has been debate and uncertainty on two important issues in the Basin of Mexico: the formation of Epiclassic city-states following Teotihuacan state collapse (ca. A.D. 650), and the nature of the subsequent Early Postclassic Tula state expansion. I evaluate the Basin as a case of regeneration of socio-political complexity using stylistic and compositional pottery analysis to examine patterns of interaction from the Epiclassic (ca. A.D. 600/650-850) through the Early Postclassic (ca. A.D. 850-1150). I selected representative specimens of temporally diagnostic pottery from the three large settlement clusters in the northwestern Basin (Tula and the Zumpango region), the northeastern Basin (Teotihuacan Valley), and the southeastern Basin (Cerro Portezuelo, the Ixtapalapa and Chalco regions) to assess: 1) participation in regional cultural complexes, 2) direct exchange or local production of particular pottery types, 3) regional variation in the production of pottery. For certain time periods, ceramic patterns among smaller settlements clusters were distinguished. The combination of chemical and attribute analysis provided a robust method for identifying regional variation in pottery. Chemical characterization using Instrumental Neutron Activation Analysis (INAA) was used to provide fine-scaled compositional reference groups to assess regional production and exchange. Stylistic and technological attributes were used to define highly visible decorative traditions that were easily copied and low visibility production steps that were learned. Teotihuacan withdrawal from the southeastern Basin prompted reorganization and adoption of a distinctive pottery complex. Epiclassic settlement patterns throughout the Basin were reorganized into nucleated settlement clusters with unoccupied areas between them. Results indicate regional participation in the Coyotlatelco pottery tradition and a strong pattern of consumption of locally produced pottery by settlement cluster. Tula underwent significant urban growth in the Early Postclassic, while the Basin was marked by a process of "ruralization" as the Epiclassic centers dispersed and settlements filled the previously unoccupied landscape. Tula expanded its influence into the Basin with varying degrees of integration. The closest settlements in the northwestern Basin acquired the most Tula-produced pottery. The Teotihuacan Valley and Cerro Portezuelo settlements consumed mostly locally produced Tula style pottery. The southeastern settlements were least connected to Tula and initiated interactions towards Puebla-Tlaxcala.
Contributors
Crider, Destiny Lynn (Author) / Cowgill, George L. (Thesis advisor) / Simon, Arleyn W (Thesis advisor) / Stark, Barbara L. (Committee member) / Arizona State University (Publisher)
Created
2011
Description
In the time of Nazi Germany the systematic targeting of Jews for persecution and extermination was rampant. Although this was a dark time for the Jewish people in Europe, they did not simply stand idly by and let this happen to them. The Jewish people found a way to make a mockery of the situation that they wee in, as well as a way to poke fun at the people who persecuted them. The Jews used dark humor to mock the situations that they found themselves in. The interesting point here, though, is that they did not use all the aspects of dark humor that exist. The Jews used situational humor, critical humor, and gallows humor-humor about death-according to the incongruity theory of humor, to make a mockery of the plight that they were in. They did not use all of the different aspects of dark humor, but only the parts that would merge with their need to mock their situation, in order to be able to deal with the reality of what was happening in their lives. For the analysis in this thesis, I researched various collections of Jewish humor in Nazi Germany. I analyzed the jokes in relation to the different humor theories, and gave my conclusion on why these jokes were effective. Based on the evidence, I have come to several conclusions. The Jews that made these jokes only used the aspects of dark humor that would fit in with the atmosphere that they were trying to create. They would not use sexual jokes of any kind because of this. They used jokes that could be used as a shield, to comfort not only themselves but also their compatriots given their situation. The use of humor was a coping measure and a sign of defiance, that helped some of the victims of the Holocaust survive the attempted extermination of the Jews. Given the opportunity, I would widen my focus on this topic to include collective memory, as well, however the scope of such a project would be more fitting for a doctoral paper.
Contributors
Wolfe, David (Author) / Alexander, Robert (Committee member) / Gilfillan, Daniel (Committee member) / Ghanem, Carla (Committee member) / Arizona State University (Publisher)
Created
2011
Description
CMOS technology is expected to enter the 10nm regime for future integrated circuits (IC). Such aggressive scaling leads to vastly increased variability, posing a grand challenge to robust IC design. Variations in CMOS are often divided into two types: intrinsic variations and process-induced variations. Intrinsic variations are limited by fundamental physics. They are inherent to CMOS structure, considered as one of the ultimate barriers to the continual scaling of CMOS devices. In this work the three primary intrinsic variations sources are studied, including random dopant fluctuation (RDF), line-edge roughness (LER) and oxide thickness fluctuation (OTF). The research is focused on the modeling and simulation of those variations and their scaling trends. Besides the three variations, a time dependent variation source, Random Telegraph Noise (RTN) is also studied. Different from the other three variations, RTN does not contribute much to the total variation amount, but aggregate the worst case of Vth variations in CMOS. In this work a TCAD based simulation study on RTN is presented, and a new SPICE based simulation method for RTN is proposed for time domain circuit analysis. Process-induced variations arise from the imperfection in silicon fabrication, and vary from foundries to foundries. In this work the layout dependent Vth shift due to Rapid-Thermal Annealing (RTA) are investigated. In this work, we develop joint thermal/TCAD simulation and compact modeling tools to analyze performance variability under various layout pattern densities and RTA conditions. Moreover, we propose a suite of compact models that bridge the underlying RTA process with device parameter change for efficient design optimization.
Contributors
Ye, Yun, Ph.D (Author) / Cao, Yu (Thesis advisor) / Yu, Hongbin (Committee member) / Song, Hongjiang (Committee member) / Clark, Lawrence (Committee member) / Arizona State University (Publisher)
Created
2011
Description
Time series analysis of dynamic networks is an important area of study that helps in predicting changes in networks. Changes in networks are used to analyze deviations in the network characteristics. This analysis helps in characterizing any network that has dynamic behavior. This area of study has applications in many domains such as communication networks, climate networks, social networks, transportation networks, and biological networks. The aim of this research is to analyze the structural characteristics of such dynamic networks. This thesis examines tools that help to analyze the structure of the networks and explores a technique for computation and analysis of a large climate dataset. The computations for analyzing the structural characteristics are done in a computing cluster and there is a linear speed up in computation time compared to a single-core computer. As an application, a large sea ice concentration anomaly dataset is analyzed. The large dataset is used to construct a correlation based graph. The results suggest that the climate data has the characteristics of a small-world graph.
Contributors
Paramasivam, Kumaraguru (Author) / Colbourn, Charles J (Thesis advisor) / Sen, Arunabhas (Committee member) / Syrotiuk, Violet R. (Committee member) / Arizona State University (Publisher)
Created
2011