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Articles 1 - 6 of 6
Full-Text Articles in Physical Sciences and Mathematics
John Muir: A Rugged, Religious, Sensitive Mountain Man, Bradley B. Ward
John Muir: A Rugged, Religious, Sensitive Mountain Man, Bradley B. Ward
MALS Final Projects, 1995-2019
John Muir is known for having helped found the Sierra Club, and for having been its first president. Muir Woods, a grove of old-growth redwoods and popular tourist destination north of San Francisco, is named for him. California's state quarter features Muir and world-renowned Yosemite National Park, which he assisted in founding. He also fought to prevent the Tuolumne River from being dammed to create the Hetch Hetchy reservoir. Thus, Muir clearly possessed conservationist attitudes and ardently practiced them.
Motion Analysis Of Fluid Flow In A Spinning Disk Reactor, Valentina N. Korzhova
Motion Analysis Of Fluid Flow In A Spinning Disk Reactor, Valentina N. Korzhova
USF Tampa Graduate Theses and Dissertations
The flow of a liquid film over a rapidly rotating horizontal disk has numerous industrial applications including pharmaceuticals, chemical engineering, bioengineering, etc. The analysis and control of complex fluid flows over a rapidly rotating horizontal disk is an important issue in the experimental fluid mechanics. The spinning disk reactor exploits the benefits of centrifugal force, which produces thin highly sheared films due to radial acceleration. The hydrodynamics of the film results in excellent fluid mixing and high heat or mass transfer rates.
This work focuses on developing a novel approach for fluid flow tracking and analysis. Specifically, the developed algorithm …
Automatic Red Tide Detection Using Modis Satellite Images, Wijian Cheng
Automatic Red Tide Detection Using Modis Satellite Images, Wijian Cheng
USF Tampa Graduate Theses and Dissertations
Red tides pose a significant economic and environmental threat in the Gulf of Mexico. Detecting red tide is important for understanding this phenomenon. In this thesis, machine learning approaches based on Random Forests, Support Vector Machines and K-Nearest Neighbors have been evaluated for red tide detection from MODIS satellite images. Detection results using machine learning algorithms were compared to ship collected ground truth red tide data. This work has three major contributions. First, machine learning approaches outperformed two of the latest thresholding red tide detection algorithms based on bio-optical characterization by more than 10% in terms of F measure and …
The Problem Of Time In Quantum Mechanics, Crisol J. Escobedo
The Problem Of Time In Quantum Mechanics, Crisol J. Escobedo
Open Access Theses & Dissertations
The purpose of my Thesis is to gain a better understanding of the nature of time and the problems associated with time. For example, I aim to explore the problem associated with the energy-time uncertainty relation due to the lack of a universal operator for time. Using Jan Hilgevoord's work, I will explore the idea that if a measure of time is to be obtained in quantum mechanics, then time has to be a property of physical systems that can only be measured in relation to other systems. As such, time cannot be independent of physical systems. This implies that …
Taste Of Dirt, Brianna Lynn Heisey
Taste Of Dirt, Brianna Lynn Heisey
Open Access Theses & Dissertations
Taste of Dirt is a novel about a young female wildland fire fighter and her travels across the western U.S with her fire crew. The forest, the open road, the animals, and the men and women she meets along the way help her overcome her fears and re-discover her place in nature. This Thesis is approximately 240 pages and includes a dedication, acknowledgements, a table of contents, a 25 page introduction, 16 complete chapters and a curriculeam vita. Enjoy.
Machine Learned Melody Matching Using Strictly Relative Musical Abstractions, Michael Joseph Kolta
Machine Learned Melody Matching Using Strictly Relative Musical Abstractions, Michael Joseph Kolta
Legacy Theses & Dissertations (2009 - 2024)
We implement and evaluate a machine learning approach to improve systems for searching a database of music via melodic sample. We explore symbolic and aural input queries and test our prototypes with extensive user surveys. Our main contribution is to combine the following four elements. First is to create a unique musical abstraction that accounts for both pitch and rhythm in a relative manner. Second, our system allows for approximate matching of imperfect queries via the utilization of the Smith-Waterman algorithm that was originally designed for approximate matching of molecular subsequences, such as DNA samples. Third is to design our …