Arts and Humanities Commons^™

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 …