Arts and Humanities Commons^™

Detecting Surface Oil Using Unsupervised Learning Techniques On Modis Satellite Data, Joshua Kidd

USF Tampa Graduate Theses and Dissertations

The release of crude oil or other petroleum based products into marine habitats can have a devastating impact on the environment as well as the local economies that rely on these waters for commercial fishing and tourism. The Deepwater Horizon catastrophe that started on April 20th 2010 leaked an estimated 4.4 million barrels of crude oil into the Gulf of Mexico over a 3 month period threatening thousands of species and crippling the gulf coast. The National Oceanic and Atmospheric Administration (NOAA) used several satellite remote sensing technologies to manually track and predict the extent and location of oil on …

Techniques For Enhancing Reliability In Vlsi Circuits, Ransford Morel Hyman Jr

USF Tampa Graduate Theses and Dissertations

Reliability is an important issue in very large scale integration(VLSI) circuits. In the absence of a focus on reliability in the design process, a circuit’s functionality can be compromised. Since chips are fabricated in bulk, if reliability issues are diagnosed during the manufacturing of the design, the faulty chips must be tossed, which reduces product yield and increases cost. Being aware of this situation, chip designers attempt to resolve as many issues dealing with reliability on the front-end of the design phase (architecture or systemlevel modeling) to minimize the cost of errors in the design which increases as the design …

Identification Of Patient Recovery Patterns After Cardiovascular Surgery Based On Laboratory Tests Results, Alcides Ricardo Santander Mercado

USF Tampa Graduate Theses and Dissertations

In this dissertation is proposed a methodology to identify patient's recovery patterns after cardiovascular surgery based on laboratory tests results. The main purpose is to enhance the understanding of the manifestations of postsurgical complications in patients who underwent cardiovascular surgery. The analysis of patients' recovery process is based on the relationship between plasma calcium, ionized calcium and platelet count over time.

Laboratory results from the James A. Haley Veterans' Hospital databases, related to patients admitted to the Surgical Intensive Care Unit (SICU) after cardiac surgery (coronary artery bypass, aortic value replacement and mitral valve replacement), are used. These databases contain …

Mining Associations Using Directed Hypergraphs, Ramanuja N. Simha

USF Tampa Graduate Theses and Dissertations

This thesis proposes a novel directed hypergraph based model for any database. We introduce the notion of association rules for multi-valued attributes, which is an adaptation of the definition of quantitative association rules known in the literature. The association rules for multi-valued attributes are integrated in building the directed hypergraph model. This model allows to capture attribute-level associations and their strength. Basing on this model, we provide association-based similarity notions between any two attributes and present a method for finding clusters of similar attributes. We then propose algorithms to identify a subset of attributes known as a leading indicator that …

The Virtual Landscape Of Geological Information Topics, Methods, And Rhetoric In Modern Geology, Sarah Elizabeth Fratesi

USF Tampa Graduate Theses and Dissertations

Geology is undergoing changes that could influence its knowledge claims, reportedly becoming more laboratory-based, technology-driven, quantitative, and physics- and chemistry-rich over time. This dissertation uses techniques from information science and linguistics to examine the geologic literature of 1945-2005. It consists of two studies: an examination of the geological literature as an expanding network of related subdisciplines, and an investigation of the linguistic and graphical argumentation strategies within geological journal articles.

The first investigation is a large-scale study of topics within articles from 67 geologic journals. Clustering of subdiscipline journals based on titles and keywords reveals six major areas of geology: …

Flood Forecasting Using Time Series Data Mining, Chaitanya Damle

USF Tampa Graduate Theses and Dissertations

Earthquakes, floods, rainfall represent a class of nonlinear systems termed chaotic, in which the relationships between variables in a system are dynamic and disproportionate, however completely deterministic. Classical linear time series models have proved inadequate in analysis and prediction of complex geophysical phenomena. Nonlinear approaches such as Artificial Neural Networks, Hidden Markov Models and Nonlinear Prediction are useful in forecasting of daily discharge values in a river. The focus of these methods is on forecasting magnitudes of future discharge values and not the prediction of floods. Chaos theory provides a structured explanation for irregular behavior and anomalies in systems that …

Graph-Theoretic Techniques For Web Content Mining, Adam Schenker

USF Tampa Graduate Theses and Dissertations

In this dissertation we introduce several novel techniques for performing data mining on web documents which utilize graph representations of document content. Graphs are more robust than typical vector representations as they can model structural information that is usually lost when converting the original web document content to a vector representation. For example, we can capture information such as the location, order and proximity of term occurrence, which is discarded under the standard document vector representation models. Many machine learning methods rely on distance computations, centroid calculations, and other numerical techniques. Thus many of these methods have not been applied …