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Articles 1 - 6 of 6
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A Partial Order On Classical And Quantum States, Arka Bandyopadhyay
A Partial Order On Classical And Quantum States, Arka Bandyopadhyay
LSU Master's Theses
In this work we extend the work done by Bob Coecke and Keye Martin in their paper “Partial Order on Classical States and Quantum States (2003)”. We review basic notions involving elementary domain theory, the set of probability measures on a finite set {a1, a2, ..., an}, which we identify with the standard (n-1)-simplex ∆n and Shannon Entropy. We consider partial orders on ∆n, which have the Entropy Reversal Property (ERP) : elements lower in the order have higher (Shannon) entropy or equivalently less information . The ERP property is important because of its applications in quantum information theory. We …
The Design Of A Computer System To Determine The Causes Of Edema Using Magnetic Resonance Spectroscopy, Carl Allen Fink
The Design Of A Computer System To Determine The Causes Of Edema Using Magnetic Resonance Spectroscopy, Carl Allen Fink
LSU Master's Theses
Diabetes is a growing problem in the U.S.A., closely linked to the current obesity epidemic. Two common complications of diabetes, osteomyelitis of the foot, and Charcot's joint, are impossible to differentiate via traditional Magnetic Resonance Imaging. The background of Magnetic Resonance Spectroscopy, which transforms the time-domain MRI signal into the frequency domain spectrum, is explored, and its use to aid in this differentiation is proposed. Artificial Neural Networks can be employed to evaluate the MRS data and to automate the process.
Parallel Surrogate Detection In Large-Scale Simulations, Lei Jiang
Parallel Surrogate Detection In Large-Scale Simulations, Lei Jiang
LSU Master's Theses
Simulation has become a useful approach in scientific computing and engineering for its ability to model real natural or human systems. In particular, for complex systems such as hurricanes, wildfire disasters, and real-time road traffic, simulation methods are able to provide researchers, engineers and decision makers predicted values in order to help them to take appropriate actions. For large-scale problems, the simulations usually take a lot of time on supercomputers, thus making real-time predictions more difficult. Approximation models that mimic the behavior of simulation models but are computationally cheaper, namely "surrogate models", are desired in such scenarios. In the thesis, …
An Evaluation Of Synchronization Loss Rate Calculations On High Speed Networks, Aaron Tureau
An Evaluation Of Synchronization Loss Rate Calculations On High Speed Networks, Aaron Tureau
LSU Master's Theses
This paper is broken down into two parts:(1) discussion of current formulas that are used to calculate synchronized loss rates among concurrent TCP flows with the results of those equations on flows running through a bottleneck on a high speed emulated network and (2)steps to create revised forms of these equations that are more accurate and give a more reasonable estimation without having the shortcomings of the current equations. This paper brings to light three equations that were previously proposed and were used in published research projects along with their strengths and shortcomings. Through the study of these equations a …
Efficient Replica-Exchange Across Distributed Production Infrastructure, Abhinav S. Thota
Efficient Replica-Exchange Across Distributed Production Infrastructure, Abhinav S. Thota
LSU Master's Theses
Replica-Exchange (RE) methods represent a class of algorithms that involve a large number of loosely-coupled ensembles and are used to understand physical phenomena -- ranging from protein folding dynamics to binding affinity calculations. We develop a framework for RE that supports different replica pairing and coordination mechanisms, that can use a wide range of production cyberinfrastructure concurrently. Additionally, our framework uses a flexible pilot-job implementation, which enables effective resource allocation for multiple replicas. We characterize the performance of two different RE algorithms - synchronous and asynchronous - at unprecedented scales on production distributed infrastructure (Teragrid and LONI). The synchronous RE …
An Intelligent Othello Player Combining Machine Learning And Game Specific Heuristics, Kevin Anthony Cherry
An Intelligent Othello Player Combining Machine Learning And Game Specific Heuristics, Kevin Anthony Cherry
LSU Master's Theses
Artificial intelligence applications in board games have been around as early as the 1950's, and computer programs have been developed for games including Checkers, Chess, and Go with varying results. Although general game-tree search algorithms have been designed to work on games meeting certain requirements (e.g. zero-sum, two-player, perfect or imperfect information, etc.), the best results, however, come from combining these with specific knowledge of game strategies. In this MS thesis, we present an intelligent Othello game player that combines game-specific heuristics with machine learning techniques in move selection. Five game specific heuristics, namely corner detection, killer move detection, blocking, …