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- All Subjects: Computer Science
- Creators: Arizona State University
Description
This research examined successful aging in a convenience sample of 14 women in Phoenix, Arizona. The study used a mixed methods approach involving individual interviews and administration of a standardized instrument designed to measure success using an alternative construct, gerotranscendence. Explorative questions were designed to gather data regarding diverse women's lived experiences. In order to examine the impact of lived experiences on successful aging, demographics were collected and participants were administered the gerotranscendence scale further revised. Findings reveal that when success is conceptualized using gerotranscendence theory, women of color may still appear less successful than their white counterparts. Narratives yielded rich data regarding the influence of factors such as care giving and violated expectations. This research helps to expand the knowledge base on factors that impact successful aging of diverse women. This research contributes to the field of social work by providing insight into the complex factors that impact diverse woman, which may aid in the empowerment of social workers to advocate for more effective macro interventions for diverse older women.
ContributorsRansom, Nicole (Author) / Bonifas, Robin (Thesis advisor) / Anthony, Elizabeth (Committee member) / Gustavson, Kristen (Committee member) / Arizona State University (Publisher)
Created2013
Description
Communication skills within dating contexts are developed during the adolescent years, and are associated with a lifelong ability to have satisfying, enduring, and non-violent partnerships. As such, they are currently and increasingly implemented into both more general forms of healthy relationship education, as well as that targeting the prevention of teen dating violence specifically. Reaching Mexican American youth with culturally and developmentally appropriate relationship education, including communication skills, may be particularly important given their earlier transitions to marital and parenting relationships, acculturative stressors that present them with unique coupling challenges, and their higher rates of teen dating violence as compared to European American youth. We know very little about how Mexican American dating couples communicate about areas of conflict. This dissertation research utilizes Bell and Naugle's (2008) framework of interpersonal violence to explore how cultural and developmental considerations may be integrated in order to better understand how communication behaviors contribute to Mexican American middle adolescents' experiences with dating conflict. I use an observational study design in order to 1.) Qualitatively explore the communication strategies used by a sample of committed couples, including integration of culturally- and developmentally-relevant contexts, 2.) Quantitatively examine whether couple-level discrepancies in acculturation are associated with observed negativity, including whether this relationship may be mediated by dissimilar gender-related beliefs, and to 3.) Review empirical findings pertaining to the communication behaviors of Mexican American adolescents and to integrate ecodevelopmental theory in said framework as informed by Papers 1, 2, and literature specific to this topic area. The ultimate aim of this dissertation research is to generate findings that may improve the dating health of Mexican American adolescents living in the United States.
ContributorsAdams, Heidi (Author) / Rankin Williams, Lela (Thesis advisor) / Marsiglia, Flavio (Committee member) / Anthony, Elizabeth (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
This study explores the ways in which LGBTQ young adults describe the aspects of their identities, and how those identities shape their service needs and experiences. A participatory action research component was explored as a research and service approach that is sensitive to LGBTQ young people living at the intersections of multiple identities. Although it is understood that LGBTQ young people come from a variety of backgrounds, research is limited in its understanding and exploration of how aspects of identity, such as race and class, influence the lives and service needs of this population. The data was collected through an initial set of interviews with fifteen LGBTQ-identified young adults ages 18 to 24. The interviewees were recruited from an LGBTQ youth-serving organization using a purposive sampling approach to reflect racial/ethnic and gender identity diversity. Following the interviews, eight of the participants engaged as co-researchers on a participatory action research (PAR) team for sixteen weeks. The process of this team's work was assessed through a reflective analysis to identify factors that impacted the participants' lives. Analysis of the interviews identified key themes related to identity among the LGBTQ young people. The interviewees experienced a multiplicity of identities that were both socially and individually constructed. These identities were impacted by their immediate and social environments. The young people also identified ways that they used their identities to influence their environments and enhance their own resilience. The service experiences and needs of the LGBTQ young people in this study were directly influenced by their multiple identities. Implications for intersectional approaches to serving this population are explored. Analysis of the PAR process identified four areas in which the young people were most impacted through their work and interactions with one another: relationships, communication, participation, and inclusion. Implications for research and service approaches with LGBTQ young people are discussed.
ContributorsWagaman, M. Alex (Author) / Segal, Elizabeth A. (Thesis advisor) / Adelman, Madelaine (Committee member) / Ayón, Cecilia (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 increasing popularity of Twitter renders improved trustworthiness and relevance assessment of tweets much more important for search. However, given the limitations on the size of tweets, it is hard to extract measures for ranking from the tweet's content alone. I propose a method of ranking tweets by generating a reputation score for each tweet that is based not just on content, but also additional information from the Twitter ecosystem that consists of users, tweets, and the web pages that tweets link to. This information is obtained by modeling the Twitter ecosystem as a three-layer graph. The reputation score is used to power two novel methods of ranking tweets by propagating the reputation over an agreement graph based on tweets' content similarity. Additionally, I show how the agreement graph helps counter tweet spam. An evaluation of my method on 16~million tweets from the TREC 2011 Microblog Dataset shows that it doubles the precision over baseline Twitter Search and achieves higher precision than current state of the art method. I present a detailed internal empirical evaluation of RAProp in comparison to several alternative approaches proposed by me, as well as external evaluation in comparison to the current state of the art method.
ContributorsRavikumar, Srijith (Author) / Kambhampati, Subbarao (Thesis advisor) / Davulcu, Hasan (Committee member) / Liu, Huan (Committee member) / Arizona State University (Publisher)
Created2013
Description
One of the main challenges in planetary robotics is to traverse the shortest path through a set of waypoints. The shortest distance between any two waypoints is a direct linear traversal. Often times, there are physical restrictions that prevent a rover form traversing straight to a waypoint. Thus, knowledge of the terrain is needed prior to traversal. The Digital Terrain Model (DTM) provides information about the terrain along with waypoints for the rover to traverse. However, traversing a set of waypoints linearly is burdensome, as the rovers would constantly need to modify their orientation as they successively approach waypoints. Although there are various solutions to this problem, this research paper proposes the smooth traversability of the rover using splines as a quick and easy implementation to traverse a set of waypoints. In addition, a rover was used to compare the smoothness of the linear traversal along with the spline interpolations. The data collected illustrated that spline traversals had a less rate of change in the velocity over time, indicating that the rover performed smoother than with linear paths.
ContributorsKamasamudram, Anurag (Author) / Saripalli, Srikanth (Thesis advisor) / Fainekos, Georgios (Thesis advisor) / Turaga, Pavan (Committee member) / Arizona State University (Publisher)
Created2013
Description
Continuous Delivery, as one of the youngest and most popular member of agile model family, has become a popular concept and method in software development industry recently. Instead of the traditional software development method, which requirements and solutions must be fixed before starting software developing, it promotes adaptive planning, evolutionary development and delivery, and encourages rapid and flexible response to change. However, several problems prevent Continuous Delivery to be introduced into education world. Taking into the consideration of the barriers, we propose a new Cloud based Continuous Delivery Software Developing System. This system is designed to fully utilize the whole life circle of software developing according to Continuous Delivery concepts in a virtualized environment in Vlab platform.
ContributorsDeng, Yuli (Author) / Huang, Dijiang (Thesis advisor) / Davulcu, Hasan (Committee member) / Chen, Yinong (Committee member) / Arizona State University (Publisher)
Created2013
Description
Las personas públicas de mujeres fuertes mexicanas generalmente se definen como desafiantes y contrarias a los roles sociales generalmente aceptados de las mujeres sumisas. Dichas personas públicas exigen atención y buscan incluirse en la cultura popular. Sin embargo, cuando se analizan mediante los rubros de la teoría queer, se revelan arquetipos heternormativos. Esta tesis examina cronológicamente la obra de tres cronistas mexicanos de los siglos XX y XXI, Salvador Novo, Carlos Monsiváis y Sara Sefchovich, analizando su retrato de mujeres fuertes que ocupan sitios urbanos públicos en la Ciudad de México. Se investigan los efectos sociales elitistas de las imágenes públicas de mujeres fuertes, revelando restricciones patriarcales de mujeres en espacios públicos y construcciones subsecuentes de personas públicas como exóticas y cosificadas, asimismo facilitando interacciones con una sociedad sumamente masculinista y machista. La falta de agencialidad social real se revela cuando el patriarcado se reafirma, a pesar de la índole disconforme de las mujeres retratadas. Los constructos de familia y de masculinidad exigen la existencia tanto del padre y del esposo ausentes como del hipermacho y de la acompañante mujer sumisa limitada a sitios privados. El retrato de mujeres fuertes en la obra analizada desnaturaliza la imagen de domesticidad, señalando que las mujeres mexicanas salen del hogar para ocupar sitios públicos en la Ciudad de México. Como la normalización del constructo de familia se cuestiona, la teoría queer se utiliza en una manera innovadora para analizar dichos retratos de mujeres fuertes y agencialidad sociopolítica.
ContributorsHolcombe, William Daniel (Author) / Foster, David William (Thesis advisor) / Tompkins, Cynthia (Committee member) / Urioste-Azcorra, Carmen (Committee member) / Arizona State University (Publisher)
Created2013
Description
As the complexity of robotic systems and applications grows rapidly, development of high-performance, easy to use, and fully integrated development environments for those systems is inevitable. Model-Based Design (MBD) of dynamic systems using engineering software such as Simulink® from MathWorks®, SciCos from Metalau team and SystemModeler® from Wolfram® is quite popular nowadays. They provide tools for modeling, simulation, verification and in some cases automatic code generation for desktop applications, embedded systems and robots. For real-world implementation of models on the actual hardware, those models should be converted into compilable machine code either manually or automatically. Due to the complexity of robotic systems, manual code translation from model to code is not a feasible optimal solution so we need to move towards automated code generation for such systems. MathWorks® offers code generation facilities called Coder® products for this purpose. However in order to fully exploit the power of model-based design and code generation tools for robotic applications, we need to enhance those software systems by adding and modifying toolboxes, files and other artifacts as well as developing guidelines and procedures. In this thesis, an effort has been made to propose a guideline as well as a Simulink® library, StateFlow® interface API and a C/C++ interface API to complete this toolchain for NAO humanoid robots. Thus the model of the hierarchical control architecture can be easily and properly converted to code and built for implementation.
ContributorsRaji Kermani, Ramtin (Author) / Fainekos, Georgios (Thesis advisor) / Lee, Yann-Hang (Committee member) / Sarjoughian, Hessam S. (Committee member) / Arizona State University (Publisher)
Created2013