Uncertainty Quantification Of Turbulence Model Closure Coefficients In Openfoam And Fluent For Mildly Separated Flows, 2017 Washington University in St Louis
Uncertainty Quantification Of Turbulence Model Closure Coefficients In Openfoam And Fluent For Mildly Separated Flows, Ike Witte
Engineering and Applied Science Theses & Dissertations
In this thesis, detailed uncertainty quantification studies focusing on the closure coefficients of eddy-viscosity turbulence models for several flows using two CFD solvers have been performed. Three eddy viscosity turbulence models considered are: the one-equation Spalart-Allmaras (SA) model, the two-equation Shear Stress Transport (SST) k-ω model, and the one-equation Wray-Agarwal (WA) model. OpenFOAM and ANSYS Fluent are used as flow solvers. Uncertainty quantification analyses are performed for subsonic flow over a flat plate, subsonic flow over a backward-facing step, and transonic flow past an axisymmetric bump. In the case of flat plate, coefficients of pressure, lift, drag, and skin friction ...
Target Detection With Neural Network Hardware, 2017 University of Tennessee, Knoxville
Target Detection With Neural Network Hardware, Hollis Bui, Garrett Massman, Nikolas Spangler, Jalen Tarvin, Luke Bechtel, Kevin Dunn, Shawn Bradford
University of Tennessee Honors Thesis Projects
No abstract provided.
Generation And Analysis Of A Social Network: Hamlet, 2017 University of Arkansas, Fayetteville
Generation And Analysis Of A Social Network: Hamlet, Preston Evans
Computer Science and Computer Engineering Undergraduate Honors Theses
This paper examines the generation and analysis of a social network produced from Shakespeare’s play Hamlet. An XML file of Hamlet was parsed to extract the characters within the play and also identify when the characters appeared within the same scene. After parsing the speakers and the connections between characters, a network graph was generated that displayed all the characters in Hamlet, represented by nodes, and edges that represented the connections between characters as measured by their scene co-appearance. The results of the network graph were then compared to a published social network for Hamlet created by hand. The ...
Simulating Foodborne Pathogens In Poultry Production And Processing To Defend Against Intentional Contamination, 2017 University of Arkansas, Fayetteville
Simulating Foodborne Pathogens In Poultry Production And Processing To Defend Against Intentional Contamination, Silas B. Lankford
Computer Science and Computer Engineering Undergraduate Honors Theses
There is a lack of data in recent history of food terrorism attacks, and as such, it is difficult to predict its impact. The food supply industry is one of the most vulnerable industries for terrorist threats while the poultry industry is one of the largest food industries in the United States. A small food terrorism attack against just a single poultry processing center has the potential to affect a much larger population than its immediate consumers. In this work, the spread of foodborne pathogens is simulated in a poultry production and processing system to defend against intentional contamination. An ...
On Intelligent Mitigation Of Process Starvation In Multilevel Feedback Queue Scheduling, 2017 Kennesaw State University
On Intelligent Mitigation Of Process Starvation In Multilevel Feedback Queue Scheduling, Joseph E. Brown
Master of Science in Computer Science Theses
CPU time-share process schedulers for computer operating systems have existed since Corbato published his paper on the Compatible Time Sharing System in 1962 . With this new type of scheduler came the need to effectively divide CPU time between N processes, where N could be 2 or more processes. Modern time-sharing process schedulers which have been developed in the decades since have been designed to favor shorter, interactive processes over long-running processes, especially when incoming demand for CPU time exceeds supply and process starvation is inevitable. These schedulers, including Linux CFS, FreeBSD Ule, and the Solaris Fair Share Scheduler, are ...
Numerical Modeling Of Tornado-Like Vortex And Its Interaction With Bluff- Bodies, 2017 The University of Western Ontario
Numerical Modeling Of Tornado-Like Vortex And Its Interaction With Bluff- Bodies, Zoheb Nasir
Electronic Thesis and Dissertation Repository
The study the flow structure of tornado-like vortices and their impact over engineering structures is important due to the extent of tornado induced fatalities and damages observed each year in North America and around the world. In the present study, a numerical modeling approach inspired by the WindEEE Dome and the modified version of Ward’s Tornado Simulator has been developed. Using a full-scale numerical simulator, tornadoes of different intensities have been simulated for different swirl ratio values to study flow structures in comparison with previous studies. The effect of topographic features on the tornado-like vortex has been investigated for ...
Explorations Into Machine Learning Techniques For Precipitation Nowcasting, 2017 University of Massachusetts - Amherst
Explorations Into Machine Learning Techniques For Precipitation Nowcasting, Aditya Nagarajan
Masters Theses May 2014 - current
Recent advances in cloud-based big-data technologies now makes data driven solutions feasible for increasing numbers of scientific computing applications. One such data driven solution approach is machine learning where patterns in large data sets are brought to the surface by finding complex mathematical relationships within the data. Nowcasting or short-term prediction of rainfall in a given region is an important problem in meteorology. In this thesis we explore the nowcasting problem through a data driven approach by formulating it as a machine learning problem.
State-of-the-art nowcasting systems today are based on numerical models which describe the physical processes leading to ...
The Impact Of Quantum Size Effects On Thermoelectric Performance In Semiconductor Nanostructures, 2017 University of Massachusetts - Amherst
The Impact Of Quantum Size Effects On Thermoelectric Performance In Semiconductor Nanostructures, Adithya Kommini
Masters Theses May 2014 - current
An increasing need for effective thermal sensors, together with dwindling energy resources, have created renewed interests in thermoelectric (TE), or solid-state, energy conversion and refrigeration using semiconductor-based nanostructures. Effective control of electron and phonon transport due to confinement, interface, and quantum effects has made nanostructures a good way to achieve more efficient thermoelectric energy conversion. This thesis studies the two well-known approaches: confinement and energy filtering, and implements improvements to achieve higher thermoelectric performance. The effect of confinement is evaluated using a 2D material with a gate and utilizing the features in the density of states. In addition to that ...
A Hybrid Mpi-Openmp Strategy To Speedup The Compression Of Big Next-Generation Sequencing Datasets, Sandino Vargas-Perez, Fahad Saeed
Parallel Computing and Data Science Lab Technical Reports
DNA sequencing has moved into the realm of Big Data due to the rapid development of high-throughput, low cost Next-Generation Sequencing (NGS) technologies. Sequential data compression solutions that once were sufficient to efficiently store and distribute this information are now falling behind. In this paper we introduce phyNGSC, a hybrid MPI-OpenMP strategy to speedup the compression of big NGS data by combining the features of both distributed and shared memory architectures. Our algorithm balances work-load among processes and threads, alleviates memory latency by exploiting locality, and accelerates I/O by reducing excessive read/write operations and inter-node message exchange. To ...
C.V., 2017 Wroclaw University of Technology
C.V., Wojciech M. Budzianowski
Abstract Template Resrb 2017, 2017 Wroclaw University of Technology
Abstract Template Resrb 2017, Wojciech M. Budzianowski
No abstract provided.
Order Form Resrb 2017, 2017 Wroclaw University of Technology
Order Form Resrb 2017, Wojciech M. Budzianowski
No abstract provided.
Augmenting Bottom-Up Metamodels With Predicates, 2017 Old Dominion University
Augmenting Bottom-Up Metamodels With Predicates, Ross J. Gore, Saikou Diallo, Christopher Lynch, Jose Padilla
Metamodeling refers to modeling a model. There are two metamodeling approaches for ABMs: (1) top-down and (2) bottom-up. The top down approach enables users to decompose high-level mental models into behaviors and interactions of agents. In contrast, the bottom-up approach constructs a relatively small, simple model that approximates the structure and outcomes of a dataset gathered fromthe runs of an ABM. The bottom-up metamodel makes behavior of the ABM comprehensible and exploratory analyses feasible. Formost users the construction of a bottom-up metamodel entails: (1) creating an experimental design, (2) running the simulation for all cases specified by the design, (3 ...
Leveraging Lexical Link Analysis (Lla) To Discover New Knowledge, 2016 Naval Postgraduate School
Leveraging Lexical Link Analysis (Lla) To Discover New Knowledge, Ying Zhao, Douglas J. Mackinnon, Shelley P. Gallup, Joseph L. Billingsley
Military Cyber Affairs
Lexical Link Analysis (LLA) is a form of text mining in which word meanings represented in lexical terms (e.g., word pairs) are treated as if they are in a community of a word network. LLA can provide automated awareness for analyzing text data and reveal previously unknown, data-driven themed connections. We applied LLA to develop authentic archetypes and conversely determine potential imposters of that same archetype. We use publically available social media data to develop a cyber professional as an example. This paper reports the development of the algorithm, the collection and labeling of data, as well as the ...
Characterization Of Molecular Communication Based On Cell Metabolism Through Mutual Information And Flux Balance Analysis, 2016 University of Nebraska - Lincoln
Characterization Of Molecular Communication Based On Cell Metabolism Through Mutual Information And Flux Balance Analysis, Zahmeeth Sayed Sakkaff
Computer Science and Engineering: Theses, Dissertations, and Student Research
Synthetic biology is providing novel tools to engineer cells and access the basis of their molecular information processing, including their communication channels based on chemical reactions and molecule exchange. Molecular communication is a discipline in communication engineering that studies these types of communications and ways to exploit them for novel purposes, such as the development of ubiquitous and heterogeneous communication networks to interconnect biological cells with nano and biotechnology-enabled devices, i.e., the Internet of Bio-Nano Things. One major problem in realizing these goals stands in the development of reliable techniques to control the engineered cells and their behavior from ...
Teaching The Internet Of Things: Bridging A Path From Cpe329, 2016 California Polytechnic State University, San Luis Obispo
Teaching The Internet Of Things: Bridging A Path From Cpe329, Steven Han, Rafael Lopez
“The ability to connect, communicate with, and remotely manage an incalculable number of networked, automated devices via the Internet is becoming pervasive, from the commercial kitchen to the residential basement room to the arm of the fitness buff.” - WSO2
In this report, we will investigate procedures and technologies used in IoT. A variety of cloud platforms will be described to demonstrate its strengths and usage on IoT applications. Furthermore, demonstrate the most popular hardware being used in several of these applications. This report is aimed to give a good understanding on what it takes to put together an IoT application ...
Coupled Fluid-Structure Interaction Modeling Of A Parafoil, 2016 Embry-Riddle Aeronautical University
Coupled Fluid-Structure Interaction Modeling Of A Parafoil, Brandon Burnett
Dissertations and Theses
In the summer of 2014, Performance Designs, Inc. contacted Embry-Riddle Aeronautical University’s Eagle Flight Research Center to lead an investigation on square parachute design and optimization using modern computational methods to reduce costs in experimental testing. This thesis investigates the foundation for using an implicit fluid-structure interaction computational model to tackle the challenges of modeling a highly-flexible, porous fabric for design optimization of a parafoil parachute’s transient performance. Canopy deformations of a single-cell square parafoil using a fluid-structure interaction (FSI) model with nonlinear material modeling is compared to an experimental setup of matching geometry. The results of this ...
Large Scale Brownian Dynamics Simulation Of Dilute And Semidilute Polymeric Solutions, 2016 University of Tennessee, Knoxville
Large Scale Brownian Dynamics Simulation Of Dilute And Semidilute Polymeric Solutions, Amir Saadat
Excluded Volume (EV) and Hydrodynamic Interactions (HI) play a central role in static and dynamic properties of macromolecules in solution under equilibrium and nonequilibrium settings. The computational cost of incorporating HI in mesoscale Brownian dynamics (BD) simulations, particularly in the semidilute regime has motivated significant research aimed at development of high-fidelity and efficient techniques.
In this study, I have developed several algorithms for the mesoscale bead-spring representation of a macromolecular solution in dilute and semidilute regimes. The Krylov subspace method enables fast calculation of single chain dynamics with simulation time scaling of O(Nb2) [order N subscript b ...
Microstructural Analysis Of Thermoelastic Response, Nonlinear Creep, And Pervasive Cracking In Heterogeneous Materials, Alden C. Cook
Electronic Theses and Dissertations
This dissertation is concerned with the development of robust numerical solution procedures for the generalized micromechanical analysis of linear and nonlinear constitutive behavior in heterogeneous materials. Although the methods developed are applicable in many engineering, geological, and materials science fields, three main areas are explored in this work. First, a numerical methodology is presented for the thermomechanical analysis of heterogeneous materials with a special focus on real polycrystalline microstructures obtained using electron backscatter diffraction techniques. Asymptotic expansion homogenization and finite element analysis are employed for micromechanical analysis of polycrystalline materials. Effective thermoelastic properties of polycrystalline materials are determined and compared ...
Experimental Validation Of A Solar-Chimney Power Plant Model, 2016 University of New Mexico