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Articles 4741 - 4770 of 21795
Full-Text Articles in Engineering
Evaluation Of The 20 L Dust Explosibility Testing Chamber And Comparison To A Modified 38 L Vessel For Underground Coal, Robert Quentin Eades, Kyle A. Perry, Catherine E. Johnson, Jacob Miller
Evaluation Of The 20 L Dust Explosibility Testing Chamber And Comparison To A Modified 38 L Vessel For Underground Coal, Robert Quentin Eades, Kyle A. Perry, Catherine E. Johnson, Jacob Miller
Mining Engineering Faculty Research & Creative Works
The phenomenon of combustible dust explosions is present within many industries. Tests for explosibility of dust clouds per ASTM E1226 use a 20 L explosive chamber that places the combustible dust directly below the dispersion nozzle which generates a thorough mixture for testing purposes. However, in the underground coal mining industry, there are a number of geologic, mining, and regulatory factors that change the deposition scheme of combustible coal dust. This causes the atmosphere of a coal mine to have a variable rock dust-coal dust mixture at the time of ignition. To investigate the impact of this variable atmosphere, a …
Comprehensive Evaluation Of The Ifloods Radar Rainfall Products For Hydrologic Applications, Bong Chul Seo, Witold F. Krajewski, Felipe Quintero, Mohamed Elsaadani, Radoslaw Goska, Luciana K. Cunha, Brenda Dolan, David B. Wolff, James A. Smith, Steven A. Rutledge, Walter A. Petersen
Comprehensive Evaluation Of The Ifloods Radar Rainfall Products For Hydrologic Applications, Bong Chul Seo, Witold F. Krajewski, Felipe Quintero, Mohamed Elsaadani, Radoslaw Goska, Luciana K. Cunha, Brenda Dolan, David B. Wolff, James A. Smith, Steven A. Rutledge, Walter A. Petersen
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
This study describes the generation and testing of a reference rainfall product created from field campaign datasets collected during the NASA Global Precipitation Measurement (GPM) mission Ground Validation Iowa Flood Studies (IFloodS) experiment. The study evaluates ground-based radar rainfall (RR) products acquired during IFloodS in the context of building the reference rainfall product. The purpose of IFloodS was not only to attain a high-quality ground-based reference for the validation of satellite rainfall estimates but also to enhance understanding of flood-related rainfall processes and the predictability of flood forecasting. We assessed the six RR estimates (IFC, Q2, CSU-DP, NWS-DP, Stage IV, …
Analysis Of Parkinson's Disease Data, Ram Deepak Gottapu, Cihan H. Dagli
Analysis Of Parkinson's Disease Data, Ram Deepak Gottapu, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
In this paper, we investigate the diagnostic data from patients suffering with Parkinson's disease (PD) and design classification/prediction model to simplify the diagnosis. The main aim of this research is to open possibilities to be able to apply deep learning algorithms to help better understand and diagnose the disease. To our knowledge, the capabilities of deep learning algorithms have not yet been completely utilized in the field of Parkinson's research and we believe that by having an in-depth understanding of data, we can create a platform to apply different algorithms to automate the Parkinson's Disease diagnosis to certain extent. We …
Multi-Objective Evolutionary Neural Network To Predict Graduation Success At The United States Military Academy, Gene Lesinski, Steven Corns
Multi-Objective Evolutionary Neural Network To Predict Graduation Success At The United States Military Academy, Gene Lesinski, Steven Corns
Engineering Management and Systems Engineering Faculty Research & Creative Works
This paper presents an evolutionary neural network approach to classify student graduation status based upon selected academic, demographic, and other indicators. A pareto-based, multi-objective evolutionary algorithm utilizing the Strength Pareto Evolutionary Algorithm (SPEA2) fitness evaluation scheme simultaneously evolves connection weights and identifies the neural network topology using network complexity and classification accuracy as objective functions. A combined vector-matrix representation scheme and differential evolution recombination operators are employed. The model is trained, tested, and validated using 5100 student samples with data compiled from admissions records and institutional research databases. The inputs to the evolutionary neural network model are used to classify …
Multicellular Models Bridging Intracellular Signaling And Gene Transcription To Population Dynamics, Mohammad Aminul Islam, Satyaki Roy, Sajal K. Das, Dipak Barua
Multicellular Models Bridging Intracellular Signaling And Gene Transcription To Population Dynamics, Mohammad Aminul Islam, Satyaki Roy, Sajal K. Das, Dipak Barua
Computer Science Faculty Research & Creative Works
Cell signaling and gene transcription occur at faster time scales compared to cellular death, division, and evolution. Bridging these multiscale events in a model is computationally challenging. We introduce a framework for the systematic development of multiscale cell population models. Using message passing interface (MPI) parallelism, the framework creates a population model from a single-cell biochemical network model. It launches parallel simulations on a single-cell model and treats each stand-alone parallel process as a cell object. MPI mediates cell-to-cell and cell-to-environment communications in a server-client fashion. In the framework, model-specific higher level rules link the intracellular molecular events to cellular …
Near-Infrared Chiral Plasmonic Metasurface Absorbers, Leixin Ouyang, Wei Wang, Daniel Rosenmann, David A. Czaplewski, Jie Gao, Xiaodong Yang
Near-Infrared Chiral Plasmonic Metasurface Absorbers, Leixin Ouyang, Wei Wang, Daniel Rosenmann, David A. Czaplewski, Jie Gao, Xiaodong Yang
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Chirality plays an essential role in the fields of biology, medicine and physics. However, natural materials exhibit very weak chiroptical response. In this paper, near-infrared chiral plasmonic metasurface absorbers are demonstrated to selectively absorb either the left-handed or right-handed circularly polarized light for achieving large circular dichroism (CD) across the wavelength range from 1.3 µm to 1.8 µm. It is shown that the maximum chiral absorption can reach to 0.87 and that the maximum CD in absorption is around 0.70. The current chiral metasurface design is able to achieve strong chiroptical response, which also leads to high thermal CD for …
Experimental Investigation On Heat Transfer In A Prismatic Modular Reactor Under Cosine Heat Flux, S. M. Alshehri, I. A. Said, Muthanna H. Al-Dahhan, Shoaib Usman
Experimental Investigation On Heat Transfer In A Prismatic Modular Reactor Under Cosine Heat Flux, S. M. Alshehri, I. A. Said, Muthanna H. Al-Dahhan, Shoaib Usman
Chemical and Biochemical Engineering Faculty Research & Creative Works
The current study has investigated natural convection heat during pressurized conduction cooldown (PCC) accident scenario to understand the passive safety features of prismatic modular reactors (PMR) under different intensities of nonuniform center peaking step heat flux distributions (approximating cosine shape) using an advanced fast-response heat transfer technique. A scaled-down PMR module was designed and developed at Missouri S&T by the research team of the Multiphase Reactors Engineering and Applications Laboratory (mReal). The module consists of upper and lower plena connected by heated and cooled channels. Nonuniform heat flux distribution was applied to the heated channel under nonuniform heating center peaking …
Establishment And Application Of Fractal Capillary Tube Bundle Model Of Porous Media, Zhonghua Liu, Jianing Shen, Qianhua Xiao, Zhongpei Ding, Shunpeng Zeng, Baojun Bai
Establishment And Application Of Fractal Capillary Tube Bundle Model Of Porous Media, Zhonghua Liu, Jianing Shen, Qianhua Xiao, Zhongpei Ding, Shunpeng Zeng, Baojun Bai
Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works
In view of the problem of statistical regression constant in the model of capillary tube bundles in the porous media, a capillary bundle percolation model with fractal geometry was reconstructed. The function expressions of the fractal coefficient and Kozeny constant were deduced. The relationship between the macroscopic fractal properties of porous media and the fractal dimension and the micro pore parameters were obtained. Results show: Fractal coefficient is a function of fractal dimension, maximum pore radius and minimum pore radius; The macroscopic physical properties of porous media are a function of the fractal dimension and the radius of the capillary …
Densenet For Anatomical Brain Segmentation, Ram Deepak Gottapu, Cihan H. Dagli
Densenet For Anatomical Brain Segmentation, Ram Deepak Gottapu, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
Automated segmentation in brain magnetic resonance image (MRI) plays an important role in the analysis of many diseases and conditions. In this paper, we present a new architecture to perform MR image brain segmentation (MRI) into a number of classes based on type of tissue. Recent work has shown that convolutional neural networks (DenseNet) can be substantially more accurate with less number of parameters if each layer in the network is connected with every other layer in a feed forward fashion. We embrace this idea and generate new architecture that can assign each pixel/voxel in an MR image of the …
Early Detection Of Disease Using Electronic Health Records And Fisher's Wishart Discriminant Analysis, Sijia Yang, Jian Bian, Zeyi Sun, Licheng Wang, Haojin Zhu, Haoyi Xiong, Yu Li
Early Detection Of Disease Using Electronic Health Records And Fisher's Wishart Discriminant Analysis, Sijia Yang, Jian Bian, Zeyi Sun, Licheng Wang, Haojin Zhu, Haoyi Xiong, Yu Li
Engineering Management and Systems Engineering Faculty Research & Creative Works
Linear Discriminant Analysis (LDA) is a simple and effective technique for pattern classification, while it is also widely-used for early detection of diseases using Electronic Health Records (EHR) data. However, the performance of LDA for EHR data classification is frequently affected by two main factors: ill-posed estimation of LDA parameters (e.g., covariance matrix), and "linear inseparability" of the EHR data for classification. To handle these two issues, in this paper, we propose a novel classifier FWDA -- Fisher's Wishart Discriminant Analysis, which is developed as a faster and robust nonlinear classifier. Specifically, FWDA first surrogates the distribution of "potential" inverse …
System Of Systems Architecting Problems: Definitions, Formulations, And Analysis, Hadi Farhangi, Dincer Konur
System Of Systems Architecting Problems: Definitions, Formulations, And Analysis, Hadi Farhangi, Dincer Konur
Engineering Management and Systems Engineering Faculty Research & Creative Works
The system of systems architecting has many applications in transportation, healthcare, and defense systems design. This study first presents a short review of system of systems definitions. We then focus on capability-based system of systems architecting. In particular, capability-based system of systems architecting problems with various settings, including system flexibility, fund allocation, operational restrictions, and system structures, are presented as Multi-Objective Nonlinear Integer Programming problems. Relevant solution methods to analyze these problems are also discussed.
Prediction Of Thermal Conductance At Liquid-Gas Interfaces Using Molecular Dynamics Simulations, James Gonzalez, Josue Ortega, Zhi Liang
Prediction Of Thermal Conductance At Liquid-Gas Interfaces Using Molecular Dynamics Simulations, James Gonzalez, Josue Ortega, Zhi Liang
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Using Molecular Dynamics (MD) Simulations and Theoretical Calculations, We Study Heat Transfer Across Liquid-Gas Interfaces within a Planar Heat Pipe. to Determine the Thermal Conductance (Kapitza Conductance), GK, at the Interface, Two Heat Transfer Mechanisms, Namely, Conduction and Evaporation/condensation Are Considered. in the Case of Interfacial Heat Conduction, Gas Molecules, Particularly Non-Condensable Gas Molecules, Exchange Heat with Liquid Surfaces through Gas-Liquid Collisions, and the Theoretical Expression for GK is Derived from the Kinetic Theory of Gases. for Interfacial Heat Transfer by Evaporation or Condensation, the Theoretical Expression for GK is Derived from the Schrage Relationships. to Assess the Accuracies of …
Program Progress Performance Report #3, Missouri University Of Science And Technology. Inspire - University Transportation Center
Program Progress Performance Report #3, Missouri University Of Science And Technology. Inspire - University Transportation Center
Semi-Annual Progress Reports
No abstract provided.
Phonon Signature Of Charge Inhomogeneity In High Temperature Superconductors Yba2cu3o6+X, Y. Petrov, T. Egami, R. J. Mcqueeney, Mohana Yethiraj, Herbert A. Mook
Phonon Signature Of Charge Inhomogeneity In High Temperature Superconductors Yba2cu3o6+X, Y. Petrov, T. Egami, R. J. Mcqueeney, Mohana Yethiraj, Herbert A. Mook
Materials Science and Engineering Faculty Research & Creative Works
Temperature and composition dependences of high-energy longitudinal optical (LO) phonons in YBa2Cu3O6+x, studied by inelastic neutron scattering measurements, provide clear evidence for temperature dependent spatial inhomogeneity of doped charges. The measurements indicate that charge doping increases the volume fraction of the charged regions, while the local charge density remains unchanged. For the optimally doped sample the charge distribution changes sharply near the superconducting transition temperature, with stronger charge inhomogeneity below TC. The remarkable magnitude of the phonon response to charge suggests strong involvement of phonons in charge dynamics.
Dielectrophoretic Nanoparticle Propellant Injection With Plasmonic Acceleration, Jaykob Maser, Joshua Rovey
Dielectrophoretic Nanoparticle Propellant Injection With Plasmonic Acceleration, Jaykob Maser, Joshua Rovey
Mechanical and Aerospace Engineering Faculty Research & Creative Works
We describe the concept of a dielectrophoretic propellant injector and its inclusion in a plasmonic-based, small-satellite propulsion system. Thrust is achieved by applying a plasmon generated non-uniform electromagnetic field, and corresponding dielectrophoretic force, to net-neutral nanoparticles.
Fast Uncertainty Propagation Of Ultrasonic Testing Simulations For Mapod And Sensitivity Analysis, Xiaosong Du, Leifur Leifsson, Praveen Gurrala, Jiming Song, Slawomir Koziel
Fast Uncertainty Propagation Of Ultrasonic Testing Simulations For Mapod And Sensitivity Analysis, Xiaosong Du, Leifur Leifsson, Praveen Gurrala, Jiming Song, Slawomir Koziel
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Model-assisted probability of detection (MAPOD) and sensitivity analysis (SA) are widelyused for measuring the reliability of nondestructive testing (NDT) systems., such as ultrasonictesting (UT), and understanding the effects of uncertainty parameters. In this work, a stochastic expansion-based metamodel is used in lieu of the physics-based NDT simulation model for efficient uncertainty propagation while keeping satisfactory accuracy. The proposed stochasticmetamodeling approach is demonstrated for MAPOD and SA on a benchmark case for UT simulations on a fused quartz block with a spherically-void defect. The proposed approach is compared with direct Monte Carlo sampling (MCS), and MCS with Kriging metamodels. The results …
Multifidelity Modeling Of Ultrasonic Testing Simulations With Cokriging, Leifur Leifsson, Xiaosong Du, Slawomir Koziel
Multifidelity Modeling Of Ultrasonic Testing Simulations With Cokriging, Leifur Leifsson, Xiaosong Du, Slawomir Koziel
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Multifidelity methods are introduced to the nondestructive evaluation (NDE) of measurement systems. In particular, Cokriging interpolation metamodels of physics-based ultrasonic testing (UT) simulation responses are utilized to accelerate the uncertainty propagation in model-assisted NDE. The proposed approach is applied to a benchmark test case of UT simulations and compared with the current state-of-the-art techniques. The results show that Cokriging captures the physics of the problem well and is able to reduce the computational burden by over one order of magnitude compared to the state of the art. To the best of the author's knowledge, this the first time multifidelity methods …
Detection Of Multiple Orbital-Angular-Momentum Beams By A Single Metasurface, Menglin L.N. Chen, Wei E.L. Sha, Li (Lijun) Jun Jiang
Detection Of Multiple Orbital-Angular-Momentum Beams By A Single Metasurface, Menglin L.N. Chen, Wei E.L. Sha, Li (Lijun) Jun Jiang
Electrical and Computer Engineering Faculty Research & Creative Works
An approach for the detection of orbital angular momentum (OAM) is proposed. By formulating the transmission function of an arbitrary aperture, desired field distribution can be generated. A geometric-phase based metasurface is used to implement the aperture that is designed to convert an OAM wave to a directional wave with distinguishable radiation direction according to the incident OAM. Therefore, by examining the directivity, we can tell the value of incident OAM. The effectiveness of our approach is validated by numerical calculation and full-wave simulation.
Quality Criteria For Electromagnetic Wave Absorbers, Konstantin N. Rozanov, Marina Y. Koledintseva
Quality Criteria For Electromagnetic Wave Absorbers, Konstantin N. Rozanov, Marina Y. Koledintseva
Electrical and Computer Engineering Faculty Research & Creative Works
No abstract provided.
Soft Ferrites For Emc Applications, Marina Y. Koledintseva
Soft Ferrites For Emc Applications, Marina Y. Koledintseva
Electrical and Computer Engineering Faculty Research & Creative Works
No abstract provided.
Physical And Technological Aspects Of Microstrip Ebg Filter Design, Marina Koledintseva, Sergiu Radu, Joe Nuebel
Physical And Technological Aspects Of Microstrip Ebg Filter Design, Marina Koledintseva, Sergiu Radu, Joe Nuebel
Electrical and Computer Engineering Faculty Research & Creative Works
Some physical and technological aspects of the electromagnetic bandgap (EBG) common-mode (CM) filters are discussed. A simple EBG notch filter for CM in edge-coupled differential microstrip pair is designed using full-wave numerical electromagnetic software. Mixed-mode S-parameters of the EBG structure are analyzed as functions of its basic geometry, including size and number of EBG patches, gaps between them, geometry and position of signal traces across the EBG patches. In this work, one and two differential pairs crossing the EBG patches are considered. It is shown that the filter performance depends on various technological features, such as frequency-dispersive core and prepreg …
Model Order Reduction Schemes In Solving Multi-Scale Electromagnetic Problems, Qin S. Liu, Li (Lijun) Jun Jiang, Qi Dai, Hui Gan, Tian Xia, Ting Wan, Sheng Sun, Weng Cho Chew
Model Order Reduction Schemes In Solving Multi-Scale Electromagnetic Problems, Qin S. Liu, Li (Lijun) Jun Jiang, Qi Dai, Hui Gan, Tian Xia, Ting Wan, Sheng Sun, Weng Cho Chew
Electrical and Computer Engineering Faculty Research & Creative Works
Reduced-order models show significant advantages in solving multi-scale electromagnetic problems when the equivalence surfaces are used to enclose the dense-mesh features. With much coarse discretization on the equivalence surface, the computational complexities are largely reduced. Additionally, the scheme is suitable for the scattering problems especially when the location of radiator changes.
Machine Learning Based Computational Electromagnetic Analysis For Electromagnetic Compatibility, L. (Lijun) J. Jiang, H. M. Yao, H. H. Zhang, Y. W. Qin
Machine Learning Based Computational Electromagnetic Analysis For Electromagnetic Compatibility, L. (Lijun) J. Jiang, H. M. Yao, H. H. Zhang, Y. W. Qin
Electrical and Computer Engineering Faculty Research & Creative Works
While machine learning is becoming a demanding request in every corner of modern technology development, we are trying to see if we could make computational electromagnetic algorithms compatible to machine learning methods. In this paper, we introduce two efforts in line with this direction: solving method of moments (MoM) can be seen as a training training process. Consequently, the artificial neural network (ANN) could be used to solve MoM naturally through training. Amazon Web Service (AWS) can be used as the computations platform to utilize the existing hardware and software resources for machine learning. Another effort regarding to the nonlinear …
Noncontact Time-Domain Emi Measurement Of Two Adjacent Traces On A Pcb, Haimi Qiu, Chengyang Luo, Wenxiao Fang, Lijun Jiang
Noncontact Time-Domain Emi Measurement Of Two Adjacent Traces On A Pcb, Haimi Qiu, Chengyang Luo, Wenxiao Fang, Lijun Jiang
Electrical and Computer Engineering Faculty Research & Creative Works
Nonintrusive electromagnetic interference (EMI) detection is a powerful method for EMI diagnosis in high-speed links and multiple signal PCB designs. However, due to the dispersive nature of signal delivery passages and interferences from neighborhood signals, it is very difficult to locate exactly the EMI source of two adjacent traces without contact. In this paper, a noncontact time-domain voltage measurement method is proposed to detect the EMI signals of two adjacent traces on a PCB. A near-field electric probe is employed and a reconstruction algorithm is developed to recover the voltage signals without contact. Through experimental benchmarks, it is demonstrated that …
The Evolution Of Peec Methods For Si, Pi, And Antennas, Lijun Jiang, Albert E. Ruehli
The Evolution Of Peec Methods For Si, Pi, And Antennas, Lijun Jiang, Albert E. Ruehli
Electrical and Computer Engineering Faculty Research & Creative Works
No abstract provided.
Equivalent Capacitance And Multilayer Models For Effective Roughness Dielectric In Pcbs, Marina Koledintseva, Tracey Vincent
Equivalent Capacitance And Multilayer Models For Effective Roughness Dielectric In Pcbs, Marina Koledintseva, Tracey Vincent
Electrical and Computer Engineering Faculty Research & Creative Works
Effective Roughness Dielectric (ERD) is used to substitute copper foil roughness in printed circuit board (PCB) interconnects. In this work, the equivalent capacitance approach is used to get the ERD parameters based on the understanding that there is a gradual variation of concentration of metallic inclusions in the transition layer between the dielectric and foil. The metallic concentration profile can be extracted from scanning electron microscopy (SEM) or high-resolution optical microscopy. The proposed model of equivalent capacitance with gradient dielectric is applied to standard (STD), very-low-profile (VLP), and hyper-very-low profile (HVLP) foils, and the frequency-dependent dielectric parameters of the homogenized …
Influence Of Higher-Order Modes In Coaxial Waveguide On Measurements Of Material Parameters, Dmitry A. Petrov, Konstantin N. Rozanov, Marina Y. Koledintseva
Influence Of Higher-Order Modes In Coaxial Waveguide On Measurements Of Material Parameters, Dmitry A. Petrov, Konstantin N. Rozanov, Marina Y. Koledintseva
Electrical and Computer Engineering Faculty Research & Creative Works
The use of a coaxial air-filled line as a test fixture for measuring complex permittivity and permeability often shows odd resonance-like behavior of material parameters as functions of frequency. This effect is typically either ascribed to the half-wavelength resonance at the sample length, or erroneously misinterpreted as intrinsic resonance behavior of the material. However, as is shown in this paper, such behavior can be attributed to excitation of the higher-order modes on the surface of the sample resulting in resonance absorption of electromagnetic energy in the test fixture. Herein, analytical, numerical, and experimental results show that there can actually be …
Introduction To The (Peec) Partial Element Equivalent Circuit Approach Applied To Si/Pi, Albert E. Ruehli, Lijun Jiang, Giulio Antonini
Introduction To The (Peec) Partial Element Equivalent Circuit Approach Applied To Si/Pi, Albert E. Ruehli, Lijun Jiang, Giulio Antonini
Electrical and Computer Engineering Faculty Research & Creative Works
This article consists only of a collection of slides from the author's conference presentation.
Introduction To The Finite-Difference Time-Domain (Fdtd) Technique, Bruce Archambeault
Introduction To The Finite-Difference Time-Domain (Fdtd) Technique, Bruce Archambeault
Electrical and Computer Engineering Faculty Research & Creative Works
No abstract provided.
Anharmonic Phonon Coupling In Single-Crystal Semiconducting And Metal-Like Van Der Waals In2se3, John Igo, Shengwen Zhou, Zhi Gang Yu, Oliver Peter Amnuayphol, Feng Zhao, Yi Gu
Anharmonic Phonon Coupling In Single-Crystal Semiconducting And Metal-Like Van Der Waals In2se3, John Igo, Shengwen Zhou, Zhi Gang Yu, Oliver Peter Amnuayphol, Feng Zhao, Yi Gu
Electrical and Computer Engineering Faculty Research & Creative Works
We study the anharmonic phonon interactions in the single-crystal semiconducting (α) and metal-like (β) van der Waals In2Se3 layers, through the determination and analysis of temperature-dependent Raman spectra and thermal conductivities, supported by first-principles calculations of phonon band structures. Our results indicate strong lattice anharmonicity in β-In2Se3 giving rise to significant phonon peak broadening and a suppressed lattice thermal conductivity and reveal that the anharmonic phonon interactions are the main thermal transport-limiting mechanism in both phases. The low thermal conductivity combined with a large electrical conductivity makes the metal-like β-In2Se3 a potential efficient thermoelectric material.