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Sonic Boom Prediction Methods Using Feature-Based Adaptation Of Unstructured Meshes, Jacob Chackasseril Varghese
Sonic Boom Prediction Methods Using Feature-Based Adaptation Of Unstructured Meshes, Jacob Chackasseril Varghese
Masters Theses and Doctoral Dissertations
This study examines the improvement of near-field sonic boom prediction of an inviscid supersonic configuration using two grid generation refinement procedures. The first method uses P_HUGG, a parallel hierarchical Cartesian mesh generation algorithm to generate a volume mesh, with the solution-based mesh adaptation capability of P_HUGG being exploited. The mesh quality was improved using P_OPT, a parallel optimization-based mesh-smoothing program. In the second method, the commercially-available software POINTWISE™ is used for volume mesh generation. Then, P_REFINE, a parallel subdivision refinement code, is used t o adaptively refine the mesh. The effectiveness of capturing far field shocks was examined using TENASI, …
Numerical Simulation Of Mode Transition In A Hydrogen-Fueled Scramjet, Manan Ajay Vyas
Numerical Simulation Of Mode Transition In A Hydrogen-Fueled Scramjet, Manan Ajay Vyas
Master's Theses - Daytona Beach
The Wind-US computational fluid dynamics (CFD) flow solver was used to simulate dual-mode direct-connect ramjet/scramjet engine flowpath tests conducted in the University of Virginia (UVa) Supersonic Combustion Facility (SCF). The objective was to develop a computational capability within Wind-US to aid current hypersonic research and provide insight to flow as well as chemistry details that are not resolved by instruments available. Computational results are compared with experimental data to validate the accuracy of the numerical modeling. These results include two fuel-off non-reacting and eight fuel-on reacting cases with different equivalence ratios, split between one set with a clean (non-vitiated) air …
Prostate Cancer Biomarker Identification: A Comparative Study, Wenjuan Jiang
Prostate Cancer Biomarker Identification: A Comparative Study, Wenjuan Jiang
Computational Modeling & Simulation Engineering Theses & Dissertations
With the current development of proteomics techniques, the discovery of potential molecular biomarkers for early detection of prostate cancer has been greatly improved. In this thesis, we implemented five classifiers including the support vector machine (SVM), Bayesian Classifier, Decision Tree, Random Forest and the Multilayer perceptron (MLP) to test their effectiveness in prostate cancer biomarker identification using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) tissue imaging data. The classifiers were utilized to discriminate cancer mass spectra from normal ones for the data collected at the Eastern Virginia Medical School (EVMS). There are 94 7 spectra from normal tissues and 27 from …
Label Oriented Clustering For Social Network Groups, Ahmed El Kholy
Label Oriented Clustering For Social Network Groups, Ahmed El Kholy
Archived Theses and Dissertations
No abstract provided.
Building Babel: Freeing Multimedia Processing And Delivery From Hard-Coded Formats, Joseph Alfred Thomas-Kerr
Building Babel: Freeing Multimedia Processing And Delivery From Hard-Coded Formats, Joseph Alfred Thomas-Kerr
University of Wollongong Thesis Collection 1954-2016
The amount of multimedia content available via the Internet, and the number of formats in which it is encoded, stored and delivered continues to grow rapidly. So too the number and diversity of the devices and software applications which produce, process and consume such content. This constantly changing landscape presents an increasing challenge to interoperability, since more and more software and hardware must be upgraded as new formats are developed. However, many of the operations performed on multimedia content are similar across coding formats. In recognising this, this thesis proposes several approaches to format-independent media processing, with an emphasis on …