Integration and querying of heterogeneous, autonomous, distributed database systems

Today, databases have become an integral part of information systems. In the past two decades, we have seen different database systems being developed independently and used in different applications domains. Today's interconnected networks and advanced applications, such as data warehousing, data mining & knowledge discovery and intelligent data access to information on the Web, have created a need for integrated access to such heterogeneous, autonomous, distributed database systems. Heterogeneous/multidatabase research has focused on this issue resulting in many different approaches. However, a single, generally accepted methodology in academia or industry has not emerged providing ubiquitous intelligent data access from heterogeneous, autonomous, distributed information sources. This thesis describes a heterogeneous database system being developed at Highperformance Database Research Center (HPDRC). A major impediment to ubiquitous deployment of multidatabase technology is the difficulty in resolving semantic heterogeneity. That is, identifying related information sources for integration and querying purposes. Our approach considers the semantics of the meta-data constructs in resolving this issue. The major contributions of the thesis work include: (i.) providing a scalable, easy-to-implement architecture for developing a heterogeneous multidatabase system, utilizing Semantic Binary Object-oriented Data Model (Sem-ODM) and Semantic SQL query language to capture the semantics of the data sources being integrated and to provide an easy-to-use query facility; (ii.) a methodology for semantic heterogeneity resolution by investigating into the extents of the meta-data constructs of component schemas. This methodology is shown to be correct, complete and unambiguous; (iii.) a semi-automated technique for identifying semantic relations, which is the basis of semantic knowledge for integration and querying, using shared ontologies for context-mediation; (iv.) resolutions for schematic conflicts and a language for defining global views from a set of component Sem-ODM schemas; (v.) design of a knowledge base for storing and manipulating meta-data and knowledge acquired during the integration process. This knowledge base acts as the interface between integration and query processing modules; (vi.) techniques for Semantic SQL query processing and optimization based on semantic knowledge in a heterogeneous database environment; and (vii.) a framework for intelligent computing and communication on the Internet applying the concepts of our work.

A qualitative analysis of the lived experience of nursing staff developers in the process of changing to a new educational model

The purpose of this study was to document and critically analyze the lived experience of selected nursing staff developers in the process of moving toward a new model for hospital nursing education. Eleven respondents were drawn from a nation-wide population of about two hundred individuals involved in nursing staff development. These subjects were responsible for the implementation of the Performance Based Development System (PBDS) in their institutions.^ A purposive, criterion-based sampling technique was used with respondents being selected according to size of hospital, primary responsibility for orchestration of the change, influence over budgetary factors and managerial responsibility for PBDS. Data were gathered by the researcher through both in-person and telephone interviews. A semi-structured interview guide, designed by the researcher was used, and respondents were encouraged to amplify on their recollections as desired. Audiotapes were transcribed and resulting computer files were analyzed using the program "Martin". Answers to interview questions were compiled and reported across cases. The data was then reviewed a second time and interpreted for emerging themes and patterns.^ Two types of verification were used in the study. Internal verification was done through interview transcript review and feedback by respondents. External verification was done through review and feedback on data analysis by readers who were experienced in management of staff development departments.^ All respondents were female, so Gilligan's concept of the "ethic of care" was examined as a decision making strategy. Three levels of caring which influenced decision making were found. They were caring: (a) for the organization, (b) for the employee, and (c) for the patient. The four existentials of the lived experience, relationality, corporeality, temporality and spatiality were also examined to reveal the everydayness of making change. ^

A study of leadership behaviors for Breaking Ranks leaders in public secondary schools

This research will investigate what it will take to develop principals who will embrace the recommendations of reform as proposed by National Association of Secondary School Principals (NASSP, 1996) in the Breaking Ranks document. Breaking Ranks is based on the belief that it is within the dynamics of the school culture that principals must gain insight into strategies for improving the schools for which they are held responsible. Given this context, it is important to examine perspectives that are held by principals who lead schools that embrace the concepts of reform as proposed by NASSP, thereby, could be deemed “Breaking Ranks” schools. It is within these schools that the new role of the principal develops. NASSP has identified seven key recommendations for leadership development; “attributes that need nourishing” (p. 12) for the success of school reform. The seven recommendations are included in Breaking Ranks. ^ The purpose of this study is to identify and describe how principals put the seven recommendations into practice as they function in their schools. In addition, this study will gather information on the characteristics, support, skills, and training these principals identify as critical aspects and components of their success. This is a study of principal leadership at four high school sites where “Breaking Ranks” principals have been identified. ^ This research plan will be designed to utilize an inquiry-based process with a panel of experts and four “Breaking Ranks” principals. This study will describe: (1) how a panel of experts identify what they believe needs to be done in order to put the recommendations of the Breaking Ranks document into practice and their identification of principals who are breaking ranks; (2) how identified principals say they have been able to put the recommendations of the Breaking Ranks document into practice; (3) How both groups identify and describe: (a) the characteristics and behaviors of a “Breaking Ranks” principal; (b) the new leadership skills as described by the seven recommendations identified in the Breaking Ranks document; (c) the support necessary in order to meet the recommendations in the Breaking Ranks document; and (d) The training needed in order to become “Breaking Ranks” principals; and (4) how the process of creating “Breaking Ranks” principals can be described by experts who have studied it theoretically and principals who have demonstrated it in their schools. ^

3D TerraFly: Quality of service management for online interactive 3D geographic information system

3D geographic information system (GIS) is data and computation intensive in nature. Internet users are usually equipped with low-end personal computers and network connections of limited bandwidth. Data reduction and performance optimization techniques are of critical importance in quality of service (QoS) management for online 3D GIS. In this research, QoS management issues regarding distributed 3D GIS presentation were studied to develop 3D TerraFly, an interactive 3D GIS that supports high quality online terrain visualization and navigation. ^ To tackle the QoS management challenges, multi-resolution rendering model, adaptive level of detail (LOD) control and mesh simplification algorithms were proposed to effectively reduce the terrain model complexity. The rendering model is adaptively decomposed into sub-regions of up-to-three detail levels according to viewing distance and other dynamic quality measurements. The mesh simplification algorithm was designed as a hybrid algorithm that combines edge straightening and quad-tree compression to reduce the mesh complexity by removing geometrically redundant vertices. The main advantage of this mesh simplification algorithm is that grid mesh can be directly processed in parallel without triangulation overhead. Algorithms facilitating remote accessing and distributed processing of volumetric GIS data, such as data replication, directory service, request scheduling, predictive data retrieving and caching were also proposed. ^ A prototype of the proposed 3D TerraFly implemented in this research demonstrates the effectiveness of our proposed QoS management framework in handling interactive online 3D GIS. The system implementation details and future directions of this research are also addressed in this thesis. ^

Focused ion beam manufacturing of magnetic nanostructures

A number of patterning methods including conventional photo-lithography and E-beam lithography have been employed to pattern devices with critical dimensions of submicrometer levels. The methods of device fabrication by lithography and multilevel processing are usually specific to the chemical and physical properties of the etchants and materials used, and require a number of processing steps. As an alternative, focused ion beam (FIB) lithography is a unique and straightforward tool to rapidly develop nanomagnetic prototyping devices. This feature of FIB is critical to conduct the basic study necessary to advance the state-of-the-art in magnetic recording. ^ The dissertation develops a specific design of nanodevices and demonstrates FIB-fabricated stable and reproducible magnetic nanostructures with a critical dimension of about 10 nm. The project included the fabrication of a patterned single and multilayer magnetic media with areal densities beyond 10 Terabit/in 2. Each block had perpendicular or longitudinal magnetic anisotropy and a single domain structure. The purpose was to demonstrate how the ability of FIB to directly etch nanoscale patterns allowed exploring (even in the academic environment) the true physics of various types of nanostructures. ^ Another goal of this study was the investigation of FIB patterned magnetic media with a set of characterization tools: e.g. Spinstand Guzik V2002, magnetic force microscopy, scanning electron microscopy with energy dispersive system and wavelength dispersive system. ^ In the course of this work, a unique prototype of a record high density patterned magnetic media device capable of 10 terabit/in 2 was built. The read/write testing was performed by a Guzik spinstand. The readback signals were recorded and analyzed by a digital oscilloscope. A number of different configurations for writing and reading information from a magnetic medium were explored. The prototype transducers for this work were fabricated via FIB trimming of different magnetic recording heads. ^

Knowledge assisted data management and retrieval in multimedia database systems

With the proliferation of multimedia data and ever-growing requests for multimedia applications, there is an increasing need for efficient and effective indexing, storage and retrieval of multimedia data, such as graphics, images, animation, video, audio and text. Due to the special characteristics of the multimedia data, the Multimedia Database management Systems (MMDBMSs) have emerged and attracted great research attention in recent years. Though much research effort has been devoted to this area, it is still far from maturity and there exist many open issues. In this dissertation, with the focus of addressing three of the essential challenges in developing the MMDBMS, namely, semantic gap, perception subjectivity and data organization, a systematic and integrated framework is proposed with video database and image database serving as the testbed. In particular, the framework addresses these challenges separately yet coherently from three main aspects of a MMDBMS: multimedia data representation, indexing and retrieval. In terms of multimedia data representation, the key to address the semantic gap issue is to intelligently and automatically model the mid-level representation and/or semi-semantic descriptors besides the extraction of the low-level media features. The data organization challenge is mainly addressed by the aspect of media indexing where various levels of indexing are required to support the diverse query requirements. In particular, the focus of this study is to facilitate the high-level video indexing by proposing a multimodal event mining framework associated with temporal knowledge discovery approaches. With respect to the perception subjectivity issue, advanced techniques are proposed to support users' interaction and to effectively model users' perception from the feedback at both the image-level and object-level.

Tennessee trabajadores: Global wage arbitrage comes home to roost

In the 1980s, the American meat industry began restructuring both its domestic production methods and the distribution of its processing facilities. Many meat and poultry processing facilities have since been relocated into small rural communities. The red meat industry was once highly-paid and unionized, but now work in both meat and poultry processing is a dangerous, low-paid manufacturing job, heavily reliant on immigrant workers who must turn to local social services to supplement their wages and benefits. In an attempt to discover the manner in which the social relations of a specific locale may be enmeshed with global production, this research explored perceptions of social power and alliances after a rural community became host to a foreign workforce employed by the local poultry processing plant. On-site semi-structured interviews were conducted with sixteen local residents, and a content analysis of the community newspaper was undertaken. ^ The research found that as new production relations were inserted into the community, the society continued to reproduce and social relations remained relatively unchanged. The community's cultural standards and social infrastructure dictate that residents are respectful of authority, extend Christian charity to those less fortunate, and are generally accepting of a community known for low wages, low taxation, and low standards of education. Hegemonic ideologies seem to dictate the goals and beneficiaries of social power, and residents are unable to name any power vectors even in the face of sustained community support of, for example, the company that introduced the immigrant labor into the community. While there are indications of displeasure with the influx of immigrants appearing in the newspaper and the interviews, there are tangible examples that the community was proactive in welcoming the immigrants into their community. Thus, given that the last time elements of the community united around an issue was in the mid-1970s and no other issue has evoked any type of tangible struggle since then, there is no indication that any social alliances will be formed in reaction to changes in the community wrought by the globalization of its economy. ^

Administrators' perspectives of culture at a multicampus community college

The purpose of this study was to explore how administrators’ perceived the campus and administrative cultures found on a single campus of a multicampus community college system. A review of the literature revealed that the culture found in higher education institutions contains a high degree of human interactions, has a myriad of cultures, and that individuals play a significant role in the maintenance or the evolution of the cultures present. The study site was Neighborhood Campus which is one campus of a large urban community college system containing a total of eight campuses, Urban College. Kuh’s conventional organizational models served to identify the model on Neighborhood Campus, Levin’s cultural definitions described the campus culture, and cultural definitions from Bergquist and Pawlak formed the framework for the administrative culture. The study was guided by the following research questions: What are the administrators’ perspectives of the campus culture on a community college campus and what are the administrators’ perspectives of the administrative culture on a community college campus? A qualitative case study method was used, data collection included interviews, document and videograph reviews, and observations of administrative meetings. The participants for the interview portion of the study included 10 individuals defined as administrators. ^ The study revealed that administrators’ perspectives of these cultures demonstrated five themes (student-centered, size, location, Hispanics, and family) served as contributors to the campus culture. The administrative culture was supported by six themes (size, team, collaboration, open, Inclusion, and rewards and recognition). ^ The findings revealed three of Kuh’s conventional organizational models (rational, bureaucratic, and collegial models) were seen as being in place at Neighborhood Campus. Levin’s traditional and service cultures were seen in the campus culture with the service culture demonstrating dominance. Using Bergquist and Pawlak’s definitions, components of the collegial, managerial, and developmental cultures appear to be present in the administrative culture with the collegial culture serving as the dominant administrative culture. ^ Through an understanding of these cultures and themes, administrators can provide leadership that is sensitive to these cultures, especially if institutional change is required.^

Advanced methodologies in dynamic traffic assignment modeling of managed lanes

Managed lane strategies are innovative road operation schemes for addressing congestion problems. These strategies operate a lane (lanes) adjacent to a freeway that provides congestion-free trips to eligible users, such as transit or toll-payers. To ensure the successful implementation of managed lanes, the demand on these lanes need to be accurately estimated. Among different approaches for predicting this demand, the four-step demand forecasting process is most common. Managed lane demand is usually estimated at the assignment step. Therefore, the key to reliably estimating the demand is the utilization of effective assignment modeling processes. ^ Managed lanes are particularly effective when the road is functioning at near-capacity. Therefore, capturing variations in demand and network attributes and performance is crucial for their modeling, monitoring and operation. As a result, traditional modeling approaches, such as those used in static traffic assignment of demand forecasting models, fail to correctly predict the managed lane demand and the associated system performance. The present study demonstrates the power of the more advanced modeling approach of dynamic traffic assignment (DTA), as well as the shortcomings of conventional approaches, when used to model managed lanes in congested environments. In addition, the study develops processes to support an effective utilization of DTA to model managed lane operations. ^ Static and dynamic traffic assignments consist of demand, network, and route choice model components that need to be calibrated. These components interact with each other, and an iterative method for calibrating them is needed. In this study, an effective standalone framework that combines static demand estimation and dynamic traffic assignment has been developed to replicate real-world traffic conditions. ^ With advances in traffic surveillance technologies collecting, archiving, and analyzing traffic data is becoming more accessible and affordable. The present study shows how data from multiple sources can be integrated, validated, and best used in different stages of modeling and calibration of managed lanes. Extensive and careful processing of demand, traffic, and toll data, as well as proper definition of performance measures, result in a calibrated and stable model, which closely replicates real-world congestion patterns, and can reasonably respond to perturbations in network and demand properties.^

Advanced Methodologies in Dynamic Traffic Assignment Modeling of Managed Lanes

Managed lane strategies are innovative road operation schemes for addressing congestion problems. These strategies operate a lane (lanes) adjacent to a freeway that provides congestion-free trips to eligible users, such as transit or toll-payers. To ensure the successful implementation of managed lanes, the demand on these lanes need to be accurately estimated. Among different approaches for predicting this demand, the four-step demand forecasting process is most common. Managed lane demand is usually estimated at the assignment step. Therefore, the key to reliably estimating the demand is the utilization of effective assignment modeling processes. Managed lanes are particularly effective when the road is functioning at near-capacity. Therefore, capturing variations in demand and network attributes and performance is crucial for their modeling, monitoring and operation. As a result, traditional modeling approaches, such as those used in static traffic assignment of demand forecasting models, fail to correctly predict the managed lane demand and the associated system performance. The present study demonstrates the power of the more advanced modeling approach of dynamic traffic assignment (DTA), as well as the shortcomings of conventional approaches, when used to model managed lanes in congested environments. In addition, the study develops processes to support an effective utilization of DTA to model managed lane operations. Static and dynamic traffic assignments consist of demand, network, and route choice model components that need to be calibrated. These components interact with each other, and an iterative method for calibrating them is needed. In this study, an effective standalone framework that combines static demand estimation and dynamic traffic assignment has been developed to replicate real-world traffic conditions. With advances in traffic surveillance technologies collecting, archiving, and analyzing traffic data is becoming more accessible and affordable. The present study shows how data from multiple sources can be integrated, validated, and best used in different stages of modeling and calibration of managed lanes. Extensive and careful processing of demand, traffic, and toll data, as well as proper definition of performance measures, result in a calibrated and stable model, which closely replicates real-world congestion patterns, and can reasonably respond to perturbations in network and demand properties.