Digital Commons Network^™

Mining The Online Social Network Data: Influence, Summarization, And Organization, Jingxuan Li

FIU Electronic Theses and Dissertations

Online Social Network (OSN) services provided by Internet companies bring people together to chat, share the information, and enjoy the information. Meanwhile, huge amounts of data are generated by those services (they can be regarded as the social media ) every day, every hour, even every minute, and every second. Currently, researchers are interested in analyzing the OSN data, extracting interesting patterns from it, and applying those patterns to real-world applications. However, due to the large-scale property of the OSN data, it is difficult to effectively analyze it.

This dissertation focuses on applying data mining and information retrieval techniques to …

A Regression Approach To Execution Time Estimation For Programs Running On Multicore Systems, Mohammad Alshamlan

FIU Electronic Theses and Dissertations

Execution time estimation plays an important role in computer system design. It is particularly critical in real-time system design, where to meet a deadline can be as important as to ensure the logical correctness of a program. To accurately estimate the execution time of a program can be extremely challenging, since the execution time of a program varies with inputs, the underlying computer architectures, and run-time dynamics, among other factors. The problem becomes even more challenging as computing systems moving from single core to multi-core platforms, with more hardware resources shared by multiple processing cores.

The goal of this research …

Real-Time Scheduling Of Embedded Applications On Multi-Core Platforms, Ming Fan

FIU Electronic Theses and Dissertations

For the past several decades, we have experienced the tremendous growth, in both scale and scope, of real-time embedded systems, thanks largely to the advances in IC technology. However, the traditional approach to get performance boost by increasing CPU frequency has been a way of past. Researchers from both industry and academia are turning their focus to multi-core architectures for continuous improvement of computing performance. In our research, we seek to develop efficient scheduling algorithms and analysis methods in the design of real-time embedded systems on multi-core platforms. Real-time systems are the ones with the response time as critical as …

Development Of Test-Based Wind-Driven Rain Intrusion Model For Hurricane-Induced Building Interior And Contents Damage, Thomas Baheru

FIU Electronic Theses and Dissertations

Major portion of hurricane-induced economic loss originates from damages to building structures. The damages on building structures are typically grouped into three main categories: exterior, interior, and contents damage. Although the latter two types of damages, in most cases, cause more than 50% of the total loss, little has been done to investigate the physical damage process and unveil the interdependence of interior damage parameters. Building interior and contents damages are mainly due to wind-driven rain (WDR) intrusion through building envelope defects, breaches, and other functional openings. The limitation of research works and subsequent knowledge gaps, are in most part …

Investigating The Role Of A Less Uranium Tolerant Strain, Isolated From The Hanford Site Soil, On Uranium Interaction In Polyphosphate Remediation Technology, Paola Sepulveda Medina

FIU Electronic Theses and Dissertations

Bacteria are key players in the processes that govern fate and transport of contaminants. Previous assessment showed that the Arthrobacter oxydans (A.oxydans) G968 strain has a lower ability to tolerate U(VI) toxicity in bicarbonate-free media compared to other isolate A.oxydans G975. The study experimentally investigated several parameters such as the potential of bicarbonate to accelerate U(VI) release from autunite mineral in the presence of a less U(VI) tolerant bacterial strain, in the conditions mimicking Hanford Site subsurface environments. Results showed that despite morphological differences between the two bacterial strains, A.oxydans G968 and G975, they are able to dissolute uranium at …

U.S. Construction Worker Fall Accidents: Their Causes And Influential Factors, Sohaib Siddiqui

FIU Electronic Theses and Dissertations

The purpose of this study is to investigate the main causes of fall accidents and, to pinpoint the factors that influence the risk of falls in the U.S. construction industry. This study employed the Integrated Management Information System (IMIS) data from the Occupational Safety and Health Administration (OSHA) to examine 9,141 fall accidents, recorded for the period of last 20 years. The results show that specialty trade contractors working on low-budget, residential housing and commercial building projects are more susceptible to fall accidents. In terms of fall height, 85% of the fall accidents occurred on heights less than 30 ft., …

A Methodology For Fast Assessments To The Electrical Activity Of Barrel Fields In Vivo: From Population Inputs To Single Unit Outputs, Jorge Riera, Takakuni Goto, Ryuta Kawashima

Department of Biomedical Engineering Faculty Publications

Here we propose a methodology to analyze volumetric electrical activity of neuronal masses in the somatosensory barrel field of Wistar rats. The key elements of the proposed methodology are a three-dimensional microelectrode array, which was customized by our group to observe extracellular recordings from an extended area of the barrel field, and a novel method for the current source density analysis. By means of this methodology, we were able to localize single barrels from their event-related responses to single whisker deflection. It was also possible to assess the spatiotemporal dynamics of neuronal aggregates in several barrels at the same time …

Synthesis And Electron Emission Properties Of Aligned Carbon Nanotube Arrays, Suman Neupane

FIU Electronic Theses and Dissertations

Carbon nanotubes (CNTs) have become one of the most interesting allotropes of carbon due to their intriguing mechanical, electrical, thermal and optical properties. The synthesis and electron emission properties of CNT arrays have been investigated in this work. Vertically aligned CNTs of different densities were synthesized on copper substrate with catalyst dots patterned by nanosphere lithography. The CNTs synthesized with catalyst dots patterned by spheres of 500 nm diameter exhibited the best electron emission properties with the lowest turn-on/threshold electric fields and the highest field enhancement factor. Furthermore, CNTs were treated with NH₃ plasma for various durations and the …

Significance Of Normalization On Anatomical Mri Measures In Predicting Alzheimer’S Disease, Qi Zhou, Mohammed Goryawala, Mercedes Cabrerizo, Waren Barker, Ranjan Duara, Malek Adjouadi

Electrical and Computer Engineering Faculty Publications

This study establishes a new approach for combining neuroimaging and neuropsychological measures for an optimal decisional space to classify subjects with Alzheimer’s disease (AD). This approach relies on a multivariate feature selection method with different MRI normalization techniques. Subcortical volume, cortical thickness, and surface area measures are obtained using MRIs from 189 participants (129 normal controls and 60 AD patients). Statistically significant variables were selected for each combination model to construct a multidimensional space for classification. Different normalization approaches were explored to gauge the effect on classification performance using a support vector machine classifier. Results indicate that theMini-mental state examination …

The Development Of A Hybrid Optimization Algorithm For The Evaluation And Optimization Of The Asynchronous Pulse Unit, Eric Inclan

FIU Electronic Theses and Dissertations

The effectiveness of an optimization algorithm can be reduced to its ability to navigate an objective function’s topology. Hybrid optimization algorithms combine various optimization algorithms using a single meta-heuristic so that the hybrid algorithm is more robust, computationally efficient, and/or accurate than the individual algorithms it is made of. This thesis proposes a novel meta-heuristic that uses search vectors to select the constituent algorithm that is appropriate for a given objective function. The hybrid is shown to perform competitively against several existing hybrid and non-hybrid optimization algorithms over a set of three hundred test cases. This thesis also proposes a …