Poetica de la brevedad en Borges

Although he did not write copious novels, endless essays, or long poems, Jorge Luis Borges is considered one of today's best modern writers. His works have never been more than ten pages long. The purpose of this dissertation is to demonstrate that the willing use of concise expression in Borges's writings is inscribed in a poetic worldview of great implications. This view is based on the synthesis of philosophical, literary, and cultural issues that Borges interprets, discusses, refutes, and re-elaborates with a new conjectural approach. ^ This dissertation is based on a methodological review of all his current scholarly work and on a thorough examination of the four volumes of his Complete Works, edited by Emece, in 2002. His pantheistic vision, the epiphanic moments, and his love/hate relationship with language, conform an aesthetic of resounding silence that enlightens the hidden aspects of his brief masterpieces. ^ Even though Borgesian studies flood the library he once imagined, they have been presented in an isolated manner. This dissertation establishes a link among the various aforementioned aspects as studied by Borges scholars, and demonstrates the powerful influence of Borges's illuminating and precise vision. ^ Paradoxically, the poetry of brevity in Borges's works is filled with allusions to the things that Borges silences, because, from a panoramic pantheism, his words almost reach an epiphanic enlightenment that flashes between preterit and future nothingness. ^ By replacing extension with intensity, and mastering the art of omission, Borges's laborious work reaches power and concentration that only the very greatest talents can achieve. His delicate verbal conciseness provides his readers with a virtually infinite freedom of imagination because it exposes them to the chaotic world of mythical probabilities, where an instant encompasses eternity. ^

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.

Wage matters & globalization: South Florida's low-wage immigrant plant nursery workers and business protectionism in the age of neoliberalism

Ornamental plant production in the State of Florida is an anomaly with respect to current theories of globalization and particularly their explanation of the employment of low-wage, immigrant labor. Those theories dictate that unskilled jobs that do not need to be performed within highly developed countries are outsourced to where labor is cheaper and more flexible. However, the State of Florida remains an important site of ornamental plant production in the US amidst a global economic environment of outsourcing and transnational corporate expansion. This dissertation relies on 50 semi-structured interviews with insiders of the Florida plant nursery industry, focus groups, and participant observation to explain how US trade, labor, and migration policy-making at local levels are not removed from larger global processes taking place in the world since the 1970s. In Florida, elite market players of the plant nursery industry have been able to resist global trends in free trade, operating instead in a protected market. They have done this by appealing to scientific justifications and through arbitrary implementations of neoliberal ideology that keeps small and middle range business alive, while maintaining a seemingly endless supply of marginalized and exploited low-wage, immigrant workers.^

Trajectory privacy preservation in mobile Wireless Sensor Networks

In recent years, there has been an enormous growth of location-aware devices, such as GPS embedded cell phones, mobile sensors and radio-frequency identification tags. The age of combining sensing, processing and communication in one device, gives rise to a vast number of applications leading to endless possibilities and a realization of mobile Wireless Sensor Network (mWSN) applications. As computing, sensing and communication become more ubiquitous, trajectory privacy becomes a critical piece of information and an important factor for commercial success. While on the move, sensor nodes continuously transmit data streams of sensed values and spatiotemporal information, known as ``trajectory information". If adversaries can intercept this information, they can monitor the trajectory path and capture the location of the source node. ^ This research stems from the recognition that the wide applicability of mWSNs will remain elusive unless a trajectory privacy preservation mechanism is developed. The outcome seeks to lay a firm foundation in the field of trajectory privacy preservation in mWSNs against external and internal trajectory privacy attacks. First, to prevent external attacks, we particularly investigated a context-based trajectory privacy-aware routing protocol to prevent the eavesdropping attack. Traditional shortest-path oriented routing algorithms give adversaries the possibility to locate the target node in a certain area. We designed the novel privacy-aware routing phase and utilized the trajectory dissimilarity between mobile nodes to mislead adversaries about the location where the message started its journey. Second, to detect internal attacks, we developed a software-based attestation solution to detect compromised nodes. We created the dynamic attestation node chain among neighboring nodes to examine the memory checksum of suspicious nodes. The computation time for memory traversal had been improved compared to the previous work. Finally, we revisited the trust issue in trajectory privacy preservation mechanism designs. We used Bayesian game theory to model and analyze cooperative, selfish and malicious nodes' behaviors in trajectory privacy preservation activities.^

Poetica de la brevedad en Borges

Although he did not write copious novels, endless essays, or long poems, Jorge Luis Borges is considered one of today's best modem writers. His works have never been more than ten pages long. The purpose of this dissertation is to demonstrate that the willing use of concise expression in Borges's writings is inscribed in a poetic worldview of great implications. This view is based on the synthesis of philosophical, literary, and cultural issues that Borges interprets, discusses, refutes, and re-elaborates with a new conjectural approach. This dissertation is based on a methodological review of all his current scholarly work and on a thorough examination of the four volumes of his Complete Works, edited by Emece, in 2002. His pantheistic vision, the epiphanic moments, and his love/hate relationship with language, conform an aesthetic of resounding silence that enlightens the hidden aspects of his brief masterpieces. Even though Borgesian studies flood the library he once imagined, they have been presented in an isolated manner. This dissertation establishes a link among the various aforementioned aspects as studied by Borges scholars, and demonstrates the powerful influence of Borges's illuminating and precise vision. Paradoxically, the poetry of brevity in Borges's works is filled with allusions to the things that Borges silences, because, from a panoramic pantheism, his words almost reach an epiphanic enlightenment that flashes between preterit and future nothingness. By replacing extension with intensity, and mastering the art of omission, Borges's laborious work reaches power and concentration that only the very greatest talents can achieve. His delicate verbal conciseness provides his readers with a virtually infinite freedom of imagination because it exposes them to the chaotic world of mythical probabilities, where an instant encompasses etemity.

Wage Matters & Globalization: South Florida’s Low-Wage Immigrant Plant Nursery Workers and Business Protectionism in the Age of Neoliberalism

Ornamental plant production in the State of Florida is an anomaly with respect to current theories of globalization and particularly their explanation of the employment of low-wage, immigrant labor. Those theories dictate that unskilled jobs that do not need to be performed within highly developed countries are outsourced to where labor is cheaper and more flexible. However, the State of Florida remains an important site of ornamental plant production in the US amidst a global economic environment of outsourcing and transnational corporate expansion. This dissertation relies on 50 semi-structured interviews with insiders of the Florida plant nursery industry, focus groups, and participant observation to explain how US trade, labor, and migration policy-making at local levels are not removed from larger global processes taking place in the world since the 1970s. In Florida, elite market players of the plant nursery industry have been able to resist global trends in free trade, operating instead in a protected market. They have done this by appealing to scientific justifications and through arbitrary implementations of neoliberal ideology that keeps small and middle range business alive, while maintaining a seemingly endless supply of marginalized and exploited low-wage, immigrant workers.

Trajectory Privacy Preservation in Mobile Wireless Sensor Networks

In recent years, there has been an enormous growth of location-aware devices, such as GPS embedded cell phones, mobile sensors and radio-frequency identification tags. The age of combining sensing, processing and communication in one device, gives rise to a vast number of applications leading to endless possibilities and a realization of mobile Wireless Sensor Network (mWSN) applications. As computing, sensing and communication become more ubiquitous, trajectory privacy becomes a critical piece of information and an important factor for commercial success. While on the move, sensor nodes continuously transmit data streams of sensed values and spatiotemporal information, known as ``trajectory information". If adversaries can intercept this information, they can monitor the trajectory path and capture the location of the source node. This research stems from the recognition that the wide applicability of mWSNs will remain elusive unless a trajectory privacy preservation mechanism is developed. The outcome seeks to lay a firm foundation in the field of trajectory privacy preservation in mWSNs against external and internal trajectory privacy attacks. First, to prevent external attacks, we particularly investigated a context-based trajectory privacy-aware routing protocol to prevent the eavesdropping attack. Traditional shortest-path oriented routing algorithms give adversaries the possibility to locate the target node in a certain area. We designed the novel privacy-aware routing phase and utilized the trajectory dissimilarity between mobile nodes to mislead adversaries about the location where the message started its journey. Second, to detect internal attacks, we developed a software-based attestation solution to detect compromised nodes. We created the dynamic attestation node chain among neighboring nodes to examine the memory checksum of suspicious nodes. The computation time for memory traversal had been improved compared to the previous work. Finally, we revisited the trust issue in trajectory privacy preservation mechanism designs. We used Bayesian game theory to model and analyze cooperative, selfish and malicious nodes' behaviors in trajectory privacy preservation activities.