A Bibliometric Survey On Ultra Wideband Multiple Input Multiple Output Antenna With Improved Isolation,
2020
Symbiosis International University
A Bibliometric Survey On Ultra Wideband Multiple Input Multiple Output Antenna With Improved Isolation, Laxmikant K. Shevada, Hema D. Raut, Rajeshwari R. Malekar, Amruta S. Dixit, Sumit Kumar
Library Philosophy and Practice (e-journal)
Ultra wideband (UWB) technology remains a viable choice for very high speed data communication in future applications involving large bandwidth. For boosting the data communication efficiency and to mitigate the multipath fading issue faced by UWB system with existing narrowband systems, Multiple Input Multiple Output (MIMO) antenna system is used along with UWB. Mutual coupling which must be smaller in value plays a vital role in deciding the efficiency of MIMO antenna and hence it becomes as important aspect. The mutual coupling reduction techniques of various UWB MIMO antennas are surveyed in this bibliometric paper. The bibliometric survey aims to …
Towards Understanding Power Grid Resilience To Early-Time (E1) High-Altitude Electromagnetic Pulses,
2020
University of New Mexico
Towards Understanding Power Grid Resilience To Early-Time (E1) High-Altitude Electromagnetic Pulses, Rodrigo Elias Llanes
Electrical and Computer Engineering ETDs
Fast transient electromagnetic disturbances can occur in the atmosphere from natural occurrences such as lightning and solar flares as well as those from manmade events such as that associated with a nuclear bomb detonation. These radiated signals couple into the transmission lines and components within the electric power grid. This has prompted an increased interest in grid resilience to the Early-Time (E1) High-Altitude Electromagnetic Pulse (HEMP). Three activities were conducted which further grid resilience research. First, power substations in the United States were assessed to develop accurate layouts to be used in radiated transmission line coupling studies. Second, three pre-existing …
Conditional Generative Adversarial Network Demosaicing Strategy For Division Of Focal Plane Polarimeters,
2020
Psoas LLC
Conditional Generative Adversarial Network Demosaicing Strategy For Division Of Focal Plane Polarimeters, Garrett Sargent, Bradley M. Ratliff, Vijayan K. Asari
Electrical and Computer Engineering Faculty Publications
Division of focal plane (DoFP), or integrated microgrid polarimeters, typically consist of a 2 × 2 mosaic of linear polarization filters overlaid upon a focal plane array sensor and obtain temporally synchronized polarized intensity measurements across a scene, similar in concept to a Bayer color filter array camera. However, the resulting estimated polarimetric images suffer a loss in resolution and can be plagued by aliasing due to the spatially-modulated microgrid measurement strategy. Demosaicing strategies have been proposed that attempt to minimize these effects, but result in some level of residual artifacts. In this work we propose a conditional generative adversarial …
Improve The Prototype Of Low-Cost Near-Infrared Diffuse Optical Imaging System,
2020
CUNY New York City College of Technology
Improve The Prototype Of Low-Cost Near-Infrared Diffuse Optical Imaging System, Chen Xu, Mohammed Z. Shakil
Publications and Research
Diffuse Optical Tomography (DOT) and Optical Spectroscopy using near-infrared (NIR) diffused light has demonstrated great potential for the initial diagnosis of tumors and in the assessment of tumor vasculature response to neoadjuvant chemotherapy. The aims of this project are 1) to test the different types of LEDs in the near-infrared range, and design the driving circuit, and test the modulation of LEDs at different frequencies; 2) to test the APDs as a detector, and build the receiver system and compare efficiency with pre-built systems. In this project, we are focusing on creating a low-cost infrared transmission system for tumor and …
Antenna Radiation Element Designs For 5g Applications,
2020
University of Arkansas, Fayetteville
Antenna Radiation Element Designs For 5g Applications, Zhijun Gui
Electrical Engineering Undergraduate Honors Theses
This thesis introduced the advantage of the fifth-generation network and gave examples to the three major classes of applications categorized by International Telecommunication Union-Radiocommunication Sector. In this work, a patch antenna and a board-band bow-tie antenna with microelectromechanical switch design were modified to meet 5G communication purposes. The revised patch antenna produced a minimum S11 of -57.92dB, a resonant frequency at the 28GHz, and bandwidth of 4.55GHz. The modified design meets the requirements for wireless communication purposes. During the duplication process of the board-band bow-tie antenna design, multiple discrepancies were found, and the proposed results were not able to achieve. …
Simulation Of An Sp8t 18 Ghz Rf Switch Using Smt Pin Diodes,
2020
California Polytechnic State University, San Luis Obispo
Simulation Of An Sp8t 18 Ghz Rf Switch Using Smt Pin Diodes, Andre De Souza Vigano
Master's Theses
Radio frequency (RF) and microwave switches are widely used in several different applications including radar, measurement systems, telecommunications, and other areas. An RF switch can control a radar’s transmit vs. receive mode, select the operating band, or direct an RF signal to different paths. In this study, a single pole eight throw (SP8T) switch using only Surface Mount (SMT) components is designed and simulated in Keysight’s Advanced Design System (ADS). Single pole eight throw is defined as one input and eight possible outputs. A star network configuration with series-shunt PIN diode switches is used to create the 8-way RF switch. …
Transfer-To-Transfer Learning Approach For Computer Aided Detection Of Covid-19 In Chest Radiographs,
2020
University of Dayton
Transfer-To-Transfer Learning Approach For Computer Aided Detection Of Covid-19 In Chest Radiographs, Barath Narayanan Narayanan, Russell C. Hardie, Vignesh Krishnaraja, Christina Karam, Venkata Salini Priyamvada Davuluru
Electrical and Computer Engineering Faculty Publications
The coronavirus disease 2019 (COVID-19) global pandemic has severely impacted lives across the globe. Respiratory disorders in COVID-19 patients are caused by lung opacities similar to viral pneumonia. A Computer-Aided Detection (CAD) system for the detection of COVID-19 using chest radiographs would provide a second opinion for radiologists. For this research, we utilize publicly available datasets that have been marked by radiologists into two-classes (COVID-19 and non-COVID-19). We address the class imbalance problem associated with the training dataset by proposing a novel transfer-to-transfer learning approach, where we break a highly imbalanced training dataset into a group of balanced mini-sets and …
Polarization-Selective Modulation Of Supercavity Resonances Originating From Bound States In The Continuum,
2020
Howard University
Polarization-Selective Modulation Of Supercavity Resonances Originating From Bound States In The Continuum, Chan Kyaw, Riad Yahiaoui, Joshua A. Burrow, Viet Tran, Kyron Keelen, Wesley Sims, Eddie C. Red, Willie S. Rockward, Mikkel A. Thomas, Andrew M. Sarangan, Imad Agha, Thomas A. Searles
Electro-Optics and Photonics Faculty Publications
Bound states in the continuum (BICs) are widely studied for their ability to confine light, produce sharp resonances for sensing applications and serve as avenues for lasing action with topological characteristics. Primarily, the formation of BICs in periodic photonic band gap structures are driven by symmetry incompatibility; structural manipulation or variation of incidence angle from incoming light. In this work, we report two modalities for driving the formation of BICs in terahertz metasurfaces. At normal incidence, we experimentally confirm polarization driven symmetry-protected BICs by the variation of the linear polarization state of light. In addition, we demonstrate through strong coupling …
Development And Characterization Of Metal Contacts For Graded Composition Ingan Solar Cells,
2020
University of Arkansas, Fayetteville
Development And Characterization Of Metal Contacts For Graded Composition Ingan Solar Cells, Reem E. Alhelais
Graduate Theses and Dissertations
There is an increasing demand for high-power electronic components and optoelectronic devices with low-loss and high efficiency. III-nitride semiconductor materials have demonstrated great potential for high-power, high-frequency, and high-temperature applications because of their remarkable and wide-ranging electronic and physical properties. These material systems, including alloys of AlN, GaN, and InN, are currently being explored for their potential to develop efficient photovoltaic cells. They can potentially achieve higher efficiency because of their very high direct wide band edge, absorption coefficients, and resistance to defects. The compositionally graded Group III-nitride alloy allows access to a large range of energies by varying the …
Fourier Transform Infrared Spectroscopy For The Measurement Of Gesn/(Si)Gesn,
2020
University of Arkansas, Fayetteville
Fourier Transform Infrared Spectroscopy For The Measurement Of Gesn/(Si)Gesn, Solomon Opeyemi Ojo
Graduate Theses and Dissertations
Photoluminescence (PL) and Electroluminescence (EL) characterization techniques are important tools for studying the optical and electrical properties of (Si)GeSn. Light emission from these PL and EL measurements provides relevant information on material quality, bandgap energy, current density, and device efficiency. Prior to this work, the in-house PL set-up of this lab which involves the use of a commercially-obtained dispersive spectrometer was used for characterizing both GeSn thin film and fabricated devices, but these measurements were limited by issues bordering on low spectral resolution, spectral artifacts, and poor signal-to-noise ratio (SNR) thereby resulting in the possible loss of vital information and …
Multiphoton Microscopy And Deep Learning Neural Networks For The Automated Quantification Of In Vivo, Label-Free Optical Biomarkers Of Skin Wound Healing,
2020
University of Arkansas, Fayetteville
Multiphoton Microscopy And Deep Learning Neural Networks For The Automated Quantification Of In Vivo, Label-Free Optical Biomarkers Of Skin Wound Healing, Jake D. Jones
Graduate Theses and Dissertations
Non-healing ulcerative wounds that occur frequently in diseases such as diabetes are challenging to diagnose and treat due to numerous possible etiologies and the variable efficacy of wound care products. With advanced age, skin wound healing is often delayed, leaving elderly patients at high risk for developing these chronic injuries. As it is challenging to discriminate age-related delays from disease-related chronicity, there is a critical need to develop new quantitative biomarkers that are sensitive to wound status. Multiphoton microscopy (MPM) techniques are well-suited for 3D imaging of epithelia and are capable of non-invasively detecting metabolic cofactors (NADH and FAD) without …
Sparse Bases And Bayesian Inference Of Electromagnetic Scattering,
2020
Air Force Institute of Technology
Sparse Bases And Bayesian Inference Of Electromagnetic Scattering, John Lee
Theses and Dissertations
Many approaches in CEM rely on the decomposition of complex radiation and scattering behavior with a set of basis vectors. Accurate estimation of the quantities of interest can be synthesized through a weighted sum of these vectors. In addition to basis decompositions, sparse signal processing techniques developed in the CS community can be leveraged when only a small subset of the basis vectors are required to sufficiently represent the quantity of interest. We investigate several concepts in which novel bases are applied to common electromagnetic problems and leverage the sparsity property to improve performance and/or reduce computational burden. The first …
Electromagnetic Interference Estimation Via Conditional Neural Processing,
2020
Air Force Institute of Technology
Electromagnetic Interference Estimation Via Conditional Neural Processing, Edgar E. Gomez
Theses and Dissertations
The goal of this thesis is to determine the efficacy of employing Machine Learning (ML) to solve Joint Urgent Operational Need (JUON) CC-0575, which aims to develop a Common Operating Picture (COP) of the Global Positioning System (GPS) Electromagnetic Interference (EMI) environment. With the growing popularity of Artificial Neural Networks (ANNs), ML solutions are quickly gaining traction in businesses, academia and government. This in turn allows for problem solutions that were previously inconceivable using the classical programming paradigm. This thesis proposes a method to develop a COP of the battlefield via ANN ingestion of multiple-source signals and sensors. We conduct …
Detailed Modeling Of The Flash Hydrolysis Of Algae For Biofuel-Production In Comsol Multiphysics,
2020
Old Dominion University
Detailed Modeling Of The Flash Hydrolysis Of Algae For Biofuel-Production In Comsol Multiphysics, Noah Joseph Legrand
Mechanical & Aerospace Engineering Theses & Dissertations
Algae-derived biofuels are being commercialized as an important renewable energy source. Like any new technology, conversion improvements are desired, including reductions in process complexity and better utilization of the entire microalgae feedstock. The Old Dominion Biomass Laboratory has focused on flash hydrolysis for algae biofuel production. That process involves rapidly heating algae and water mixed as a slurry to a subcritical state. Results from small-scale bench tests are promising, but process scale up is a challenge. Currently there exists a pilot laboratory scale system utilizing induction heating in order to reach controlled reaction temperatures with a reaction duration of 10 …
Review Of The Emc Aspects Of Internet Of Things,
2020
Missouri University of Science and Technology
Review Of The Emc Aspects Of Internet Of Things, Jiyu Wu, Yihong Qi, Guang Gong, Jun Fan, Miao Miao, Wei Yu, Jianhua Ma, James L. Drewniak
Electrical and Computer Engineering Faculty Research & Creative Works
Wireless devices are the largest part of the Internet-of-Things (IoT) units. Radiated, such as specific absorption rate and spurious related issues are regulated by the standards bodies. The functionality performance will greatly influence IoT system stability, user experience, and cost. Radio receiver desensitization and coexistence aspects of IoT devices are discussed in this article. Measurement technologies are briefly reviewed for transmit/receive mode only of single-input single-output (SISO), and multiple-input multiple-output (MIMO) devices, to provide a means of device performance evaluation and electromagnetic interference troubleshooting. An understanding of the electromagnetic compatibility aspects of the IoT and its measurement methods can help …
An Analysis Of The Benefits And Difficulties Of Aerial Magnetic Vector Navigation,
2020
Air Force Institute of Technology
An Analysis Of The Benefits And Difficulties Of Aerial Magnetic Vector Navigation, Aaron J. Canciani, Christopher J. Brennan
Faculty Publications
Recent successful flight tests have demonstrated scalar magnetic anomaly navigation to be a viable GPS-alternative navigation system. These flight tests matched magnetic field measurements to maps of the Earth's crustal magnetic field in order to navigate. Scalar magnetic navigation uses only the magnetic field intensity, not direction, in order to navigate. While it appears obvious to extend aerial magnetic navigation to use the full vector field, in practice there are substantial obstacles to doing so. This article explores the key challenges of magnetic vector navigation including current sensor limitations, lack of high frequency magnetic vector maps of the Earth's crust, …
Atmospheric Turbulence Study With Deep Machine Learning Of Intensity Scintillation Patterns,
2020
AI Science & Technology LLC
Atmospheric Turbulence Study With Deep Machine Learning Of Intensity Scintillation Patterns, Artem V. Vorontsov, Mikhail A. Vorontsov, Grigorii A. Fillimonov, Ernst Polnau
Electro-Optics and Photonics Faculty Publications
A new paradigm for machine learning-inspired atmospheric turbulence sensing is developed and applied to predict the atmospheric turbulence refractive index structure parameter using deep neural network (DNN)-based processing of short-exposure laser beam intensity scintillation patterns obtained with both: experimental measurement trials conducted over a 7 km propagation path, and imitation of these trials using wave-optics numerical simulations. The developed DNN model was optimized and evaluated in a set of machine learning experiments. The results obtained demonstrate both good accuracy and high temporal resolution in sensing. The machine learning approach was also employed to challenge the validity of several eminent atmospheric …
Optimal Matching Reactance Design And Validation In Wireless Power Transfer System For Electric Vehicle Based On Sae J2954-Rp,
2020
Missouri University of Science and Technology
Optimal Matching Reactance Design And Validation In Wireless Power Transfer System For Electric Vehicle Based On Sae J2954-Rp, Anfeng Huang, Dongwook Kim, Qiusen He, Hanyu Zhang, Yuyu Zhu, Hongseok Kim, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
Wireless power transfer (WPT) is foreseen as a suitable technology to provide charging without cables to electric vehicles. The charging requires a specific charging profile for different type of battery. In addition, the loading condition of the charging circuit could change drastically as following the charging profile. Due to the dependencies on loading condition, the transmission efficiency of a WPT system could degrade during the charging process. Nevertheless, the sensitivity of efficiency to loading condition could be reduced with proper design of compensation network, e.g., LCC. In this paper, a SPICE-simulation based optimization flow is demonstrated for matching reactance optimization …
A Deep Neural Network-Based Estimation Of Efficiency Enhancement By An Intermediate Coil In Automotive Wireless Power Transfer System,
2020
Missouri University of Science and Technology
A Deep Neural Network-Based Estimation Of Efficiency Enhancement By An Intermediate Coil In Automotive Wireless Power Transfer System, Boogyo Sim, Daehwan Lho, Dongryul Park, Seungtaek Jeong, Seongsoo Lee, Hongseok Kim, Hyunwook Park, Hyungmin Kang, Seokwoo Hong, Joungho Kim
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, we proposed a deep neural network (DNN)-based estimation of efficiency enhancement by an intermediate (Int) coil in automotive wireless power transfer (WPT) system. The Int coil can enhance the efficiency in the WPT system with the proper resonant frequency of the Int coil. The previous study has explained the resonant frequency of the Int coil should be higher than the operating frequency. According to the resonant frequency of the Int coil, we can achieve the amount of efficiency enhancement. Therefore, the design of the Int coil is essential for optimize the efficiency enhancement of the automotive WPT …
Cochlear Implant Wireless Power Transfer System Design For High Efficiency And Link Gain Stability Using A Proposed Stagger Tuning Method,
2020
Missouri University of Science and Technology
Cochlear Implant Wireless Power Transfer System Design For High Efficiency And Link Gain Stability Using A Proposed Stagger Tuning Method, Seokwoo Hong, Seungtaek Jeong, Seongsoo Lee, Boogyo Sim, Hongseok Kim, Hoseung Lee, Woojin Ahn, Jonghyeok Park, Seunghoom Lee, Joungho Kim
Electrical and Computer Engineering Faculty Research & Creative Works
In recent years, wireless power transfer (WPT) technology is becoming an increasingly important part of the various applications because of its safety. Especially, medical implant devices such as a cochlear implant are one of the typical applications of the WPT technology. Because of the individual body differences, however, the coupling coefficient of the WPT system can be changed. Therefore, the coupling coefficient-insensitivity is very important design issue. In this paper, we propose a stagger tuning method of a cochlear implant WPT system. The proposed method makes the cochlear implant WPT system stable at the link gain regardless of the coupling …
