Lattice Boltzmann modeling of fluid flow and solute transport in karst aquifers

A novel modeling approach is applied to karst hydrology. Long-standing problems in karst hydrology and solute transport are addressed using Lattice Boltzmann methods (LBMs). These methods contrast with other modeling approaches that have been applied to karst hydrology. The motivation of this dissertation is to develop new computational models for solving ground water hydraulics and transport problems in karst aquifers, which are widespread around the globe. This research tests the viability of the LBM as a robust alternative numerical technique for solving large-scale hydrological problems. The LB models applied in this research are briefly reviewed and there is a discussion of implementation issues. The dissertation focuses on testing the LB models. The LBM is tested for two different types of inlet boundary conditions for solute transport in finite and effectively semi-infinite domains. The LBM solutions are verified against analytical solutions. Zero-diffusion transport and Taylor dispersion in slits are also simulated and compared against analytical solutions. These results demonstrate the LBM’s flexibility as a solute transport solver. The LBM is applied to simulate solute transport and fluid flow in porous media traversed by larger conduits. A LBM-based macroscopic flow solver (Darcy’s law-based) is linked with an anisotropic dispersion solver. Spatial breakthrough curves in one and two dimensions are fitted against the available analytical solutions. This provides a steady flow model with capabilities routinely found in ground water flow and transport models (e.g., the combination of MODFLOW and MT3D). However the new LBM-based model retains the ability to solve inertial flows that are characteristic of karst aquifer conduits. Transient flows in a confined aquifer are solved using two different LBM approaches. The analogy between Fick’s second law (diffusion equation) and the transient ground water flow equation is used to solve the transient head distribution. An altered-velocity flow solver with source/sink term is applied to simulate a drawdown curve. Hydraulic parameters like transmissivity and storage coefficient are linked with LB parameters. These capabilities complete the LBM’s effective treatment of the types of processes that are simulated by standard ground water models. The LB model is verified against field data for drawdown in a confined aquifer.

Lattice Boltzmann Modeling of Fluid Flow and Solute Transport in Karst Aquifers

A novel modeling approach is applied to karst hydrology. Long-standing problems in karst hydrology and solute transport are addressed using Lattice Boltzmann methods (LBMs). These methods contrast with other modeling approaches that have been applied to karst hydrology. The motivation of this dissertation is to develop new computational models for solving ground water hydraulics and transport problems in karst aquifers, which are widespread around the globe. This research tests the viability of the LBM as a robust alternative numerical technique for solving large-scale hydrological problems. The LB models applied in this research are briefly reviewed and there is a discussion of implementation issues. The dissertation focuses on testing the LB models. The LBM is tested for two different types of inlet boundary conditions for solute transport in finite and effectively semi-infinite domains. The LBM solutions are verified against analytical solutions. Zero-diffusion transport and Taylor dispersion in slits are also simulated and compared against analytical solutions. These results demonstrate the LBM’s flexibility as a solute transport solver. The LBM is applied to simulate solute transport and fluid flow in porous media traversed by larger conduits. A LBM-based macroscopic flow solver (Darcy’s law-based) is linked with an anisotropic dispersion solver. Spatial breakthrough curves in one and two dimensions are fitted against the available analytical solutions. This provides a steady flow model with capabilities routinely found in ground water flow and transport models (e.g., the combination of MODFLOW and MT3D). However the new LBM-based model retains the ability to solve inertial flows that are characteristic of karst aquifer conduits. Transient flows in a confined aquifer are solved using two different LBM approaches. The analogy between Fick’s second law (diffusion equation) and the transient ground water flow equation is used to solve the transient head distribution. An altered-velocity flow solver with source/sink term is applied to simulate a drawdown curve. Hydraulic parameters like transmissivity and storage coefficient are linked with LB parameters. These capabilities complete the LBM’s effective treatment of the types of processes that are simulated by standard ground water models. The LB model is verified against field data for drawdown in a confined aquifer.

Lions and roses: An interpretive history of Israeli-Iranian relations

This multi-disciplinary research project explores the religious and cultural foundations within the "master commemorative narratives" that frame Israeli and Iranian political discourse. In articulating their grievances against one another, Israeli and Iranian leaders express the tensions between religion, nationalism, and modernity in their own societies. The theoretical and methodological approach of this dissertation is constructivist-interpretivist. The concept of "master commemorative narratives" is adapted from Yael Zerubavel's study of ritualized remembrance in Israeli political culture, and applied to both Israeli and Iranian foreign policy. Israel’s master commemorative narrative draws heavily upon the language of the Hebrew Bible, situating foreign policy discourse within a paradigm of covenantal patrimony, exile, and return, despite the unrelenting hostility of eternal enemies and "the nations." Iran’s master commemorative narrative expresses Iranian suspicion of foreign encroachment and interference, and of the internal corruption that they engender, sacralizing resistance to the forces of evil in the figurative language and myths of pre-Islamic tradition and of Shi'a Islam. Using a constructivist-interpretive methodological approach, this research offers a unique interpretive analysis of the parallels between these narratives, where they intersect, and where they come into conflict. It highlights both the broad appeal and the diverse challenges to the components of these "master" narratives within Israeli and Iranian politics and society. The conclusion of this study explains the ways in which the recognition of religious and cultural conflicts through the optic of master commemorative narratives can complement the perspectives of other theoretical approaches and challenge the conventions of Security Studies. It also suggests some of the potential practical applications of this research in devising more effective international diplomacy.

Interactive Video Instruction: A Training Tool Whose Time Has Come

Training employees in the hospitality industry to meet guests' expectations is a critical element to success. Unfortunately, this element is often ignored. This article explores an exciting training method (interactive video) and its advantages over other training approaches.

Energy-efficient self -organization of wireless acoustic sensor networks for ground target tracking

With the developments in computing and communication technologies, wireless sensor networks have become popular in wide range of application areas such as health, military, environment and habitant monitoring. Moreover, wireless acoustic sensor networks have been widely used for target tracking applications due to their passive nature, reliability and low cost. Traditionally, acoustic sensor arrays built in linear, circular or other regular shapes are used for tracking acoustic sources. The maintaining of relative geometry of the acoustic sensors in the array is vital for accurate target tracking, which greatly reduces the flexibility of the sensor network. To overcome this limitation, we propose using only a single acoustic sensor at each sensor node. This design greatly improves the flexibility of the sensor network and makes it possible to deploy the sensor network in remote or hostile regions through air-drop or other stealth approaches. Acoustic arrays are capable of performing the target localization or generating the bearing estimations on their own. However, with only a single acoustic sensor, the sensor nodes will not be able to generate such measurements. Thus, self-organization of sensor nodes into virtual arrays to perform the target localization is essential. We developed an energy-efficient and distributed self-organization algorithm for target tracking using wireless acoustic sensor networks. The major error sources of the localization process were studied, and an energy-aware node selection criterion was developed to minimize the target localization errors. Using this node selection criterion, the self-organization algorithm selects a near-optimal localization sensor group to minimize the target tracking errors. In addition, a message passing protocol was developed to implement the self-organization algorithm in a distributed manner. In order to achieve extended sensor network lifetime, energy conservation was incorporated into the self-organization algorithm by incorporating a sleep-wakeup management mechanism with a novel cross layer adaptive wakeup probability adjustment scheme. The simulation results confirm that the developed self-organization algorithm provides satisfactory target tracking performance. Moreover, the energy saving analysis confirms the effectiveness of the cross layer power management scheme in achieving extended sensor network lifetime without degrading the target tracking performance.

Lions and Roses: An Interpretive History of Israeli-Iranian Relations

This multi-disciplinary research project explores the religious and cultural foundations within the “master commemorative narratives” that frame Israeli and Iranian political discourse. In articulating their grievances against one another, Israeli and Iranian leaders express the tensions between religion, nationalism, and modernity in their own societies. The theoretical and methodological approach of this dissertation is constructivist-interpretivist. The concept of “master commemorative narratives” is adapted from Yael Zerubavel’s study of ritualized remembrance in Israeli political culture, and applied to both Israeli and Iranian foreign policy. Israel’s master commemorative narrative draws heavily upon the language of the Hebrew Bible, situating foreign policy discourse within a paradigm of covenantal patrimony, exile, and return, despite the unrelenting hostility of eternal enemies and “the nations.” Iran’s master commemorative narrative expresses Iranian suspicion of foreign encroachment and interference, and of the internal corruption that they engender, sacralizing resistance to the forces of evil in the figurative language and myths of pre-Islamic tradition and of Shi‘a Islam. Using a constructivist-interpretive methodological approach, this research offers a unique interpretive analysis of the parallels between these narratives, where they intersect, and where they come into conflict. It highlights both the broad appeal and the diverse challenges to the components of these “master” narratives within Israeli and Iranian politics and society. The conclusion of this study explains the ways in which the recognition of religious and cultural conflicts through the optic of master commemorative narratives can complement the perspectives of other theoretical approaches and challenge the conventions of Security Studies. It also suggests some of the potential practical applications of this research in devising more effective international diplomacy.

Energy-Efficient Self-Organization of Wireless Acoustic Sensor Networks for Ground Target Tracking

With the developments in computing and communication technologies, wireless sensor networks have become popular in wide range of application areas such as health, military, environment and habitant monitoring. Moreover, wireless acoustic sensor networks have been widely used for target tracking applications due to their passive nature, reliability and low cost. Traditionally, acoustic sensor arrays built in linear, circular or other regular shapes are used for tracking acoustic sources. The maintaining of relative geometry of the acoustic sensors in the array is vital for accurate target tracking, which greatly reduces the flexibility of the sensor network. To overcome this limitation, we propose using only a single acoustic sensor at each sensor node. This design greatly improves the flexibility of the sensor network and makes it possible to deploy the sensor network in remote or hostile regions through air-drop or other stealth approaches. Acoustic arrays are capable of performing the target localization or generating the bearing estimations on their own. However, with only a single acoustic sensor, the sensor nodes will not be able to generate such measurements. Thus, self-organization of sensor nodes into virtual arrays to perform the target localization is essential. We developed an energy-efficient and distributed self-organization algorithm for target tracking using wireless acoustic sensor networks. The major error sources of the localization process were studied, and an energy-aware node selection criterion was developed to minimize the target localization errors. Using this node selection criterion, the self-organization algorithm selects a near-optimal localization sensor group to minimize the target tracking errors. In addition, a message passing protocol was developed to implement the self-organization algorithm in a distributed manner. In order to achieve extended sensor network lifetime, energy conservation was incorporated into the self-organization algorithm by incorporating a sleep-wakeup management mechanism with a novel cross layer adaptive wakeup probability adjustment scheme. The simulation results confirm that the developed self-organization algorithm provides satisfactory target tracking performance. Moreover, the energy saving analysis confirms the effectiveness of the cross layer power management scheme in achieving extended sensor network lifetime without degrading the target tracking performance.

Rastafarianism and the Nation of Islam as institutions for group-identity formation among blacks in the United States: A case study comparing their approaches

This dissertation explores the Rastafari movement and the Nation of Islam as institutions that provide a group-identity for their adherents. The study seeks to determine the characteristics of the identity that is institutionalized by each movement, and the nature of the institutionalization process. The research was conducted primarily in South Florida where both movements exist. An extensive literature review in conjunction with in-depth field interviews were used as the primary research methodologies. What was of particular interest were the reasons that the members of the movements chose one movement over the other, also the similarities and dissimilarities between the movements in their role as institutions for group-identity formation. The research showed that both movements imbued their members with a sense of pride, high self-esteem and a strong sense of race consciousness. In addition, it showed that there was significant variation in identity orientation within the Rastafari Movement, which contrasted with the Nation of Islam where the identity variations within the movement were negligible. This was due largely to the difference in structure between the movements, the Nation of Islam being a centrally organized movement with one leader while the Rastafari movement is a decentralized polycephalous one. ^ Both movements were found to be millenarian in nature, essentially because of the significant utility of the concept that their members would rise to prominence through God's grace. Additionally, both movements were identified as expressive social movements, since they were determined as being primarily concerned with changing the attitudes of their members rather than effecting structural social change. ^

Hybrid approaches to estimating freeway travel times using point traffic detector data

The accurate and reliable estimation of travel time based on point detector data is needed to support Intelligent Transportation System (ITS) applications. It has been found that the quality of travel time estimation is a function of the method used in the estimation and varies for different traffic conditions. In this study, two hybrid on-line travel time estimation models, and their corresponding off-line methods, were developed to achieve better estimation performance under various traffic conditions, including recurrent congestion and incidents. The first model combines the Mid-Point method, which is a speed-based method, with a traffic flow-based method. The second model integrates two speed-based methods: the Mid-Point method and the Minimum Speed method. In both models, the switch between travel time estimation methods is based on the congestion level and queue status automatically identified by clustering analysis. During incident conditions with rapidly changing queue lengths, shock wave analysis-based refinements are applied for on-line estimation to capture the fast queue propagation and recovery. Travel time estimates obtained from existing speed-based methods, traffic flow-based methods, and the models developed were tested using both simulation and real-world data. The results indicate that all tested methods performed at an acceptable level during periods of low congestion. However, their performances vary with an increase in congestion. Comparisons with other estimation methods also show that the developed hybrid models perform well in all cases. Further comparisons between the on-line and off-line travel time estimation methods reveal that off-line methods perform significantly better only during fast-changing congested conditions, such as during incidents. The impacts of major influential factors on the performance of travel time estimation, including data preprocessing procedures, detector errors, detector spacing, frequency of travel time updates to traveler information devices, travel time link length, and posted travel time range, were investigated in this study. The results show that these factors have more significant impacts on the estimation accuracy and reliability under congested conditions than during uncongested conditions. For the incident conditions, the estimation quality improves with the use of a short rolling period for data smoothing, more accurate detector data, and frequent travel time updates.

The inclusion of differentially assessed lands in urban growth model calibration: a comparison of two approaches using SLEUTH

This research sought to understand the role that differentially assessed lands (lands in the United States given tax breaks in return for their guarantee to remain in agriculture) play in influencing urban growth. Our method was to calibrate the SLEUTH urban growth model under two different conditions. The first used an excluded layer that ignored such lands, effectively rendering them available for development. The second treated those lands as totally excluded from development. Our hypothesis was that excluding those lands would yield better metrics of fit with past data. Our results validate our hypothesis since two different metrics that evaluate goodness of fit both yielded higher values when differentially assessed lands are treated as excluded. This suggests that, at least in our study area, differential assessment, which protects farm and ranch lands for tenuous periods of time, has indeed allowed farmland to resist urban development. Including differentially assessed lands also yielded very different calibrated coefficients of growth as the model tried to account for the same growth patterns over two very different excluded areas. Excluded layer design can greatly affect model behavior. Since differentially assessed lands are quite common through the United States and are often ignored in urban growth modeling, the findings of this research can assist other urban growth modelers in designing excluded layers that result in more accurate model calibration and thus forecasting.

Review of the History and Current Status of Cell-Transplant Approaches for the Management of Neuropathic Pain

Treatment of sensory neuropathies, whether inherited or caused by trauma, the progress of diabetes, or other disease states, are among the most difficult problems in modern clinical practice. Cell therapy to release antinociceptive agents near the injured spinal cord would be the logical next step in the development of treatment modalities. But few clinical trials, especially for chronic pain, have tested the transplant of cells or a cell line to treat human disease. The history of the research and development of useful cell-transplant-based approaches offers an understanding of the advantages and problems associated with these technologies, but as an adjuvant or replacement for current pharmacological treatments, cell therapy is a likely near future clinical tool for improved health care.

Rastafarianism and the Nation of Islam as institutions for group-identity formation among blacks in the United States : a case study comparing their approaches

This dissertation explores the Rastafari movement and the Nation of Islam as institutions that provide a group-identity for their adherents. The study seeks to determine the characteristics of the identity that is institutionalized by each movement, and the nature of the institutionalization process. The research was conducted primarily in South Florida where both movements exist. An extensive literature review in conjunction with in-depth field interviews were used as the primary research methodologies. What was of particular interest were the reasons that the members of the movements chose one movement over the other, also the similarities and dissimilarities between the movements in their role as institutions for group-identity formation. The research showed that both movements imbued their members with a sense of pride, high self-esteem and a strong sense of race consciousness. In addition, it showed that there was significant variation in identity orientation within the Rastafari Movement, which contrasted with the Nation of Islam where the identity variations within the movement were negligible. This was due largely to the difference in structure between the movements, the Nation of Islam being a centrally organized movement with one leader while the Rastafari movement is a decentralized polycephalous one. Both movements were found to be millenarian in nature, essentially because of the significant utility of the concept that their members would rise to prominence through God's grace. Additionally, both movements were identified as expressive social movements, since they were determined as being primarily concerned with changing the attitudes of their members rather than effecting structural social change.