Matching Items (325)
Filtering by
- All Subjects: artificial intelligence
- Creators: Arizona State University
Description
This dissertation develops a framework for the analysis of fiscal sustainability among U.S. local governments. Fiscal sustainability is defined as a type of fiscal condition that allows a government to continue service provision now and in the future without introducing disruptive revenue or expenditure patterns. An assessment of local fiscal sustainability is based on three types of indicators: pension liability funding, debt burden, and budgetary balance. Three main factors affect a government's long-term financial condition: government structure, financial structure and performance, and local economic base. This dissertation uses a combination of the U.S. Census Bureau Annual Survey of Government Finances and Employment, the U.S. Census Bureau Decennial Census, the Bureau of Labor Statistics data, and the Government Finance Officers Association financial indicators database to study the effects of the three factors on local fiscal sustainability. It is a pioneer effort to use government-wide accounting information from Comprehensive Annual Financial Reports to predict local fiscal sustainability status. The results of econometric models suggest that pension liability funding is most affected by the size of government, debt burden is most strongly associated with the size of local economic base; and budgetary balance is influenced by the degree of local own-source revenue diversification.
ContributorsGorina, Evgenia (Author) / Chapman, Jeffrey I. (Thesis advisor) / Herbst, Chris M. (Committee member) / Miller, Gerald J (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
This dissertation is an exploratory study that examined the differences in perceptions about supply chain management strategy, topics, tools, and techniques between procurement professionals in public and private sector organizations. This was accomplished through a survey of procurement professionals in a Fortune 500 company and a municipality in Arizona. The data were analyzed to understand how perceptions of supply chain management differed within this sample and whether the differences in perceptions were associated with formal education levels. Key findings indicate that for this or similar samples, public procurement respondents viewed their organizations' approach to supply chain management as a narrow function within purchasing while private sector respondents viewed their organization's approach to supply chain management as a strategic purchasing perspective that requires the coordination of cross functional areas. Second, public procurement respondents reported consistent and statistically significant lower levels of formal education than private sector respondents. Third, the supply chain management topics, tools, and techniques seem to be more important to private sector respondents than the public sector respondents. Finally, Respondents in both sectors recognize the importance of ethics and ethical behavior as an essential part of supply chain management.
ContributorsHeller, Jacob (Author) / Cayer, Joseph (Thesis advisor) / Lan, Gerald (Committee member) / Eden, Catherine (Committee member) / Arizona State University (Publisher)
Created2013
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
In many respects, the current public child welfare system closely resembles that of over 100 years ago. Then, as well as now, nonprofit child welfare agencies are the critical providers of service delivery to vulnerable children and their families. Contemporary nonprofits, however, are confronted with social and fiscal pressures to conform to normative practices and behaviors of governmental and for-profit organizations. Simultaneously, these agencies may also feel compelled to behave in accordance with a nonprofit normative ethic. Yet, scholars and practitioners are often unaware of how these different forces may be shaping the practices of child welfare agencies and, the nonprofit sector in general. This multi-paper dissertation examines how managerial and organizational practices of child welfare nonprofits are influenced business, government, and other nonprofit organizations and the extent to which processes process of institutional isomorphism in child welfare nonprofits are happening. Data was collected from a national ample of 184 child welfare administrators to explore marketization practices, collaboration behaviors, and managerial priorities of these agencies. Multinomial logistic, ordered logistic, and ordinary least squares regression, and historical analysis help shed light on the contemporary practices of these agencies. The results reveal that these agency's behaviors are shaped by government control, influences from the business community, identification with a nonprofit mindset (i.e., nonprofitness), funding streams, and various other factors. One key finding is that identification with a nonprofit mindset encourages certain behaviors like collaboration with other nonprofits and placing greater importance on key managerial priorities, but it does not reduce the likelihood of adopting business management strategies. Another important finding is that government control and funding does not have as strong as an influence on child welfare nonprofits as expected; however, influence from the business community does strongly affect many of their practices. The implications of these findings are discussed for child welfare agencies and the nonprofit sector in general. The consequences of nonprofits operating similarly to business and government are considered.
ContributorsRobichau, Robbie Waters (Author) / Catlaw, Thomas (Thesis advisor) / Nahavandi, Afsaneh (Committee member) / Gustavsson, Nora (Committee member) / Wang, Lili (Committee member) / Arizona State University (Publisher)
Created2013
Description
In the United States, under the provisions set forth by a policy known as community benefit, nonprofit hospitals receive special tax exemptions from government in exchange for providing a wide range of health care services to the communities in which they are located. In recent years, nonprofit hospitals have claimed billions of dollars as community benefit justifying their tax-exempt status. However, growing criticism by numerous stakeholders has questioned the extent to which the level of community benefit claimed by nonprofit hospitals reflects the exemptions they receive. In addition, a dearth of research exists to understand the relationship between community benefit claims and the impact they have on improving the health of communities. In an effort to better understand the relationship between community benefit claims, tax status, and community health outcomes this study examines the community benefit policies of a nonprofit healthcare system representing hospitals in California, Nevada, and Arizona. It does so by reviewing materials produced by the system, her hospitals, vested stakeholders, and government that have shaped the development, implementation, and assessment of community benefit policy processes. Findings of the study suggest that the majority of nonprofit hospital community benefit claims are consumed by shortfalls reported between costs associated with providing care to Medicare and Medicaid patients and the compensation nonprofit hospitals receive from government. Results of the study also demonstrate that community benefit policies do positively impact the health of communities. However, future community benefit policies need to be refined to include measures that capture the magnitude of community health improvement if the relationship between policy and health outcomes is to be fully realized.
ContributorsMartz, Mark Patrick (Author) / Cayer, Joseph (Thesis advisor) / Glaser, Mark (Committee member) / Corley, Elizabeth (Committee member) / Arizona State University (Publisher)
Created2013
Description
Objective of this thesis project is to build a prototype using Linear Temporal Logic specifications for generating a 2D motion plan commanding an iRobot to fulfill the specifications. This thesis project was created for Cyber Physical Systems Lab in Arizona State University. The end product of this thesis is creation of a software solution which can be used in the academia and industry for research in cyber physical systems related applications. The major features of the project are: creating a modular system for motion planning, use of Robot Operating System (ROS), use of triangulation for environment decomposition and using stargazer sensor for localization. The project is built on an open source software called ROS which provides an environment where it is very easy to integrate different modules be it software or hardware on a Linux based platform. Use of ROS implies the project or its modules can be adapted quickly for different applications as the need arises. The final software package created and tested takes a data file as its input which contains the LTL specifications, a symbols list used in the LTL and finally the environment polygon data containing real world coordinates for all polygons and also information on neighbors and parents of each polygon. The software package successfully ran the experiment of coverage, reachability with avoidance and sequencing.
ContributorsPandya, Parth (Author) / Fainekos, Georgios (Thesis advisor) / Dasgupta, Partha (Committee member) / Lee, Yann-Hang (Committee member) / Arizona State University (Publisher)
Created2013
Description
Linear Temporal Logic is gaining increasing popularity as a high level specification language for robot motion planning due to its expressive power and scalability of LTL control synthesis algorithms. This formalism, however, requires expert knowledge and makes it inaccessible to non-expert users. This thesis introduces a graphical specification environment to create high level motion plans to control robots in the field by converting a visual representation of the motion/task plan into a Linear Temporal Logic (LTL) specification. The visual interface is built on the Android tablet platform and provides functionality to create task plans through a set of well defined gestures and on screen controls. It uses the notion of waypoints to quickly and efficiently describe the motion plan and enables a variety of complex Linear Temporal Logic specifications to be described succinctly and intuitively by the user without the need for the knowledge and understanding of LTL specification. Thus, it opens avenues for its use by personnel in military, warehouse management, and search and rescue missions. This thesis describes the construction of LTL for various scenarios used for robot navigation using the visual interface developed and leverages the use of existing LTL based motion planners to carry out the task plan by a robot.
ContributorsSrinivas, Shashank (Author) / Fainekos, Georgios (Thesis advisor) / Baral, Chitta (Committee member) / Burleson, Winslow (Committee member) / Arizona State University (Publisher)
Created2013
Description
This dissertation provides a critical analysis of public administration's understanding of the relationship between rational thought and action in its discourse on ethics. It argues that rationalist ethics assume a particular relationship between thought and action: that good knowledge leads to good, proper action. While there have been many critiques of rationalist administrative ethics, scholars have not examined the way in which rationalism persists in the way in which the teaching of ethics is conducted. The use of the case study figures prominently in this. Thus, the dissertation explores the historical and theoretical intersection of rationalism, ethics, and teaching through the lens of the case study. It begins with a history of the pedagogical use of the case study and the institutional transformations of the university. While conventional accounts of the field locate its founding in the United States in the municipal reform movement, here the founding of the field of public administration is recast through connections to reforms in the university including changes in epistemic assumptions, pedagogical methods, and curricular changes in ethics in which the case study is central and remains so as the field develops. The dissertation then considers scholarship in public administration that raises questions about rationalist ethics. Three critical approaches are explored: recognition of the uncertainty and complexity of administrative practice, critique as unmasking of power relationships, and the shift of ethics from an epistemological to an ontological inquiry. The dissertation builds on the work in this third approach and shows how it attempts to articulate a non-rationalist, or immanent, ethics. This ethics is concerned with exploring the conditions that make possible mutually beneficial relationships and meaningful lives from which categorical norms of the good life could emerge. Drawing on the philosophy of Gilles Deleuze and Felix Guattari, it is argued that the distinction Deleuze and Guattari make between "arborescent" and "rhizomatic" knowledge gets to the root of the tension between thought and action and offers an innovative and useful way to advance an immanent, non-rational ethics. The challenge digital technologies and the information society present to the field is considered to illustrate the need to rethink administrative ethics and also the particular usefulness of Deleuze and Guattari in doing so. The dissertation concludes with a discussion of pedagogical practices and classroom examples that encourage a rhizomatic understanding of the theory and practice of public administration.
ContributorsCallen, Jeffrey Craig (Author) / Catlaw, Thomas J (Thesis advisor) / Corley, Elizabeth (Committee member) / Kim, Yushim (Committee member) / Arizona State University (Publisher)
Created2013