Electrical and Computer Engineering Commons^™

Spacecraft Charging In The Lunar Plasma Environment: An Analysis Of The Gateway Mission, Gwyer Sinclair

Von Braun Symposium Student Posters

No abstract provided.

Optical Wireless Data Center Networks, Abdelbaset S. Hamza

School of Computing: Dissertations, Theses, and Student Research

Bandwidth and computation-intensive Big Data applications in disciplines like social media, bio- and nano-informatics, Internet-of-Things (IoT), and real-time analytics, are pushing existing access and core (backbone) networks as well as Data Center Networks (DCNs) to their limits. Next generation DCNs must support continuously increasing network traffic while satisfying minimum performance requirements of latency, reliability, flexibility and scalability. Therefore, a larger number of cables (i.e., copper-cables and fiber optics) may be required in conventional wired DCNs. In addition to limiting the possible topologies, large number of cables may result into design and development problems related to wire ducting and maintenance, heat …

Hyperspectral Imaging For Characterizing Single Plasmonic Nanostructure And Single-Cell Analysis, Nishir Sanatkumar Mehta

LSU Master's Theses

Orientation of plasmonic nanostructures is an important feature in many nanoscale applications such as photovoltaics, catalyst, biosensors DNA interactions, protein detections, hotspot of surface-enhanced Raman spectroscopy (SERS), and fluorescence resonant energy transfer (FRET) experiments. Silver nanocubes with significant spectral signatures between 400-700 nm are observed in this experimental research. Whereas study of single cells will enable the analysis of cell-to-cell variations within a heterogeneous population. These variations are important for further analysis and understanding of disease propagation, drug development, stem cell differentiation, embryos development, and how cells respond to each other and their environment. Adipose-derived mesenchymal stem cells possess the …

Dispersing And Depositing Mose2 Onto Metal, Insulating, And Semiconducting Substrates Via Voltage-Controlled Deposition Technique, Kalyan Chakravarthy Byrisetty

LSU Master's Theses

In today’s world, consumer electronics are getting smaller than ever. These reductions in size are preceded by advancements in electronic materials engineering and related fields. The need for materials that have various properties and are suitable for applications also necessitated research on different materials. Growing research in the applications of graphene led the way to the discovery of materials that have similar properties to graphene. In this way, the transition metal di-chalcogenides (TMDCs) came into use for electrical engineering. Techniques are required to put TMDCs into application, however here we are going to explain the vital focus of our research …

Design Of An Automatic Defect Identification Method Based Ecpt For Pneumatic Pressure Equipment, Bo Zhang, Yuhua Cheng, Chun Yin, Xuegang Huang, Sara Dadras, Hadi Malek

Electrical and Computer Engineering Faculty Publications

In this paper, in order to achieve automatic defect identification for pneumatic pressure equipment, an improved feature extraction algorithm eddy current pulsed thermography (ECPT) is presented. The presented feature extraction algorithm contains four elements: data block selection; variable step search; relation value classification; and between-class distance decision function. The data block selection and variable step search are integrated to decrease the redundant computations in the automatic defect identification. The goal of the classification and between-class distance calculation is to select the typical features of thermographic sequence. The main image information can be extracted by the method precisely and efficiently. Experimental …

Non-Parametric Classification Of Time Series Using Permutation Ordinal Statistics, Aldo Duarte Vera Tudela

LSU Master's Theses

The present thesis explores some approaches to classify time series without prior statistical information using the concept of permutation entropy. Motivated by the results from a previous published and relevant work that set similarity relationships between EEG time series, a reproduction of the proposed approach was performed giving negative results. The failure to reproduce those results led to the conclusion that the approach of building statistics from permutation patterns have to be complemented with another metric in order to be used for classification purposes. The concept of Total Variation Distance (TVD) was then used to develop three algorithms to classify …

Thermal And Mechanical Energy Harvesting Using Lead Sulfide Colloidal Quantum Dots, Taher Ghomian

LSU Doctoral Dissertations

The human body is an abundant source of energy in the form of heat and mechanical movement. The ability to harvest this energy can be useful for supplying low-consumption wearable and implantable devices. Thermoelectric materials are usually used to harvest human body heat for wearable devices; however, thermoelectric generators require temperature gradient across the device to perform appropriately. Since they need to attach to the heat source to absorb the heat, temperature equalization decreases their efficiencies. Moreover, the electrostatic energy harvester, working based on the variable capacitor structure, is the most compatible candidate for harvesting low-frequency-movement of the human body. …

Study Of Physical Layer Security And Teaching Methods In Wireless Communications, Zhijian Xie, Christopher Horne

KSU Proceedings on Cybersecurity Education, Research and Practice

In most wireless channels, the signals propagate in all directions. For the communication between Alice and Bob, an Eavesdropper can receive the signals from both Alice and Bob as far as the Eavesdropper is in the range determined by the transmitting power. Through phased array antenna with beam tracking circuits or cooperative iteration, the signals are confined near the straight line connecting the positions of Alice and Bob, so it will largely reduce the valid placement of an Eavesdropper. Sometimes, this reduction can be prohibitive for Eavesdropper to wiretap the channel since the reduced space can be readily protected. Two …

Datanet: Deep Learning Based Encrypted Network Traffic Classification In Sdn Home Gateway, Pan Wang, Feng Ye, Xuejiao Chen, Yi Qian

Department of Electrical and Computer Engineering: Faculty Publications

A smart home network will support various smart devices and applications, e.g., home automation devices, E-health devices, regular computing devices, and so on. Most devices in a smart home access the Internet through a home gateway (HGW). In this paper, we propose a software-defined network (SDN)-HGW framework to better manage distributed smart home networks and support the SDN controller of the core network. The SDN controller enables efficient network quality-of-service management based on real-time traffic monitoring and resource allocation of the core network. However, it cannot provide network management in distributed smart homes. Our proposed SDN-HGW extends the control to …

Multidimensional Optimal Droop Control For Dc Microgrids In Military Applications, Kaitlyn J. Bunker, Michael D. Cook, Wayne Weaver, Gordon Parker

Michigan Tech Publications, Part 1

Reliability is a key consideration when microgrid technology is implemented in military applications. Droop control provides a simple option without requiring communication between microgrid components, increasing the control system reliability. However, traditional droop control does not allow the microgrid to utilize much of the power available from a solar resource. This paper applies an optimal multidimensional droop control strategy for a solar resource connected in a microgrid at a military patrol base. Simulation and hardware-in-the-loop experiments of a sample microgrid show that much more power from the solar resource can be utilized, while maintaining the system’s bus voltage around a …

A Novel Indoor Positioning System For Firefighters In Unprepared Scenarios, Vamsi Karthik Vadlamani

Electrical and Computer Engineering ETDs

Situational awareness and indoor positioning of firefighters are types of information of paramount importance to the success of search and rescue operations. GPS units are undependable for use in Indoor Positioning Systems due to their associated mar- gins of error in position and their reliance on satellite communication that can be interrupted inside large structures. There are few other techniques like dead reck- oning, Wifi and bluetooth based triangulation, Structure from Motion (SFM) based scene reconstruction for Indoor positioning system. However due to high temper- atures, the rapidly changing environment of fires, and low parallax in the thermal images, the …

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

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

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 …

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

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 …

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

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 …

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.

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.

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

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

Introduction To The Finite-Difference Time-Domain (Fdtd) Technique, Bruce Archambeault

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

Birefringence Imaging Chromatography Based On Highly Ordered 3d Nanostructures, Mathias M. Schubert, Tino Hofmann, David S. Hage, Erika Pfaunmiller, Craig M. Herzinger, John A. Woollam, Stefan Schoeche

Department of Electrical and Computer Engineering: Faculty Publications

Ellipsometers and polarimeters or the like to investigate analyte containing fluids applied to a substrate - stage having a multiplicity of nano - structures that project non - normal to a surface thereof , including dynamics of interaction there with , to the end of evaluating and presenting at least partial Jones or Mueller Matricies corresponding to a multiplicity of locations over an imaged area .

A Narrow-Wall Complementary-Split-Ring Slotted Waveguide Antenna For High-Power-Microwave Applications, Xuyuan Pan

Electrical and Computer Engineering ETDs

A narrow-band, rugged, complementary-split-ring (CSR) slotted waveguide antenna (SWA) with significant size reduction is presented. The antenna is to be vertically front mounted on a land vehicle, with a horizontally polarized fan-beam radiation pattern. The radiation characteristics of a CSR slot in the narrow-wall of a rectangular waveguide are studied for the first time in this work. Both simulation and experimental results show that the complementary-split-ring slot radiates a linearly polarized wave with a total efficiency and gain close to those of conventional longitudinal slots, while the proposed CSR slots have a maximal outer diameter of 0.23λ₀, much …

Economic Approaches And Market Structures For Temporal-Spatial Spectrum Sharing, Feixiang Zhang

LSU Doctoral Dissertations

In wireless communication systems, economic approaches can be applied to spectrum sharing and enhance spectrum utilization.

In this research, we develop a model where geographic information, including licensed areas of primary users (PUs) and locations of secondary users (SUs), plays an important role in the spectrum sharing system. We consider a multi-price policy and the pricing power of noncooperative PUs in multiple geographic areas. Meanwhile, the value assessment of a channel is price-related and the demand from the SUs is price-elastic. By applying an evolutionary procedure, we prove the existence and uniqueness of the optimal payoff for each PU selling …

An Accurate And Efficient Time Delay Estimation Method Of Ultra-High Frequency Signals For Partial Discharge Localization In Substations, Pengfei Li, Kejie Dai, Tong Zhang, Yantao Jin, Yushun Liu, Yuan Liao

Electrical and Computer Engineering Faculty Publications

Partial discharge (PD) localization in substations based on the ultra-high frequency (UHF) method can be used to efficiently assess insulation conditions. Localization accuracy is affected by the accuracy of the time delay (TD) estimation, which is critical for PD localization in substations. A review of existing TD estimation methods indicates that there is a need to develop methods that are both accurate and computationally efficient. In this paper, a novel TD estimation method is proposed to improve both accuracy and efficiency. The TD is calculated using an improved cross-correlation algorithm based on full-wavefronts of array UHF signals, which are extracted …

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.

Application Of Machine Learning To Biometric Systems- A Survey, Lina Chate, Shahram Latifi

Electrical & Computer Engineering Faculty Research

A summary of existing work on the use of machine learning and deep learning methods in biometrics is presented here. Biometrics traits covered include physiological (image, voice) as well as behavioral (gait, signature) features. This study shows that machine learning has a high potential to improve the performance of biometrics systems due to ML's ability to mine, search and analyze big sets of data, performing matching tasks more quickly and reliably than the conventional methods. At the end some key challenges in use of adopting ML in biometrics systems are pointed out.

Meta-Learning Related Tasks With Recurrent Networks: Optimization And Generalization, Thy Nguyen, A. Steven Younger, Emmett Redd, Tayo Obafemi-Ajayi

Electrical and Computer Engineering Faculty Research & Creative Works

There have been recent interest in meta-learning systems: I.e., networks that are trained to learn across multiple tasks. This paper focuses on optimization and generalization of a meta-learning system based on recurrent networks. The optimization investigates the influence of diverse structures and parameters on its performance. We demonstrate the generalization (robustness) of our meta-learning system to learn across multiple tasks including tasks unseen during the meta training phase. We introduce a meta-cost function (Mean Squared Fair Error) that enhances the performance of the system by not penalizing it during transitions to learning a new task. Evaluation results are presented for …