Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons™

Open Access. Powered by Scholars. Published by Universities.®

Electrical and Computer Engineering Faculty Research & Creative Works

Discipline
Keyword
Publication Year

Articles 511 - 540 of 3518

Full-Text Articles in Engineering

A Low-Profile Fabry-Pérot Cavity Antenna Using Anisotropic Metasurface, Muhammad Yasir Jamal, Min Li, Kwan Lawrence Yeung, Xiaoqiang Li, Lijun Jiang, Tatsuo Itoh Feb 2022

A Low-Profile Fabry-Pérot Cavity Antenna Using Anisotropic Metasurface, Muhammad Yasir Jamal, Min Li, Kwan Lawrence Yeung, Xiaoqiang Li, Lijun Jiang, Tatsuo Itoh

Electrical and Computer Engineering Faculty Research & Creative Works

A Fabry-Pérot cavity (FPC) antenna utilizing a new cavity resonance phenomenon based on the polarization standing wave (PSW) is proposed. To produce PSW, two anisotropic metasurfaces acting as the handedness preserving mirror are designed as the two ends of the cavity. Such a cavity possesses a new resonant condition, i.e., the relative rotation angle and distance between two metasurfaces together determine its resonant frequency. Hence, in comparison to conventional FPC antennas, the proposed one possesses a lower profile height of around 0.125 wavelengths. The antenna concept is experimentally demonstrated for the 12 GHz X-band application. Measurement results agree well with …

Go to article

A Stub Equalizer For Bidirectional And Single-Ended Channels In Nand Memory Storage Device Systems, Taelim Song, Jongjoo Lee, Chulsoon Hwang Feb 2022

A Stub Equalizer For Bidirectional And Single-Ended Channels In Nand Memory Storage Device Systems, Taelim Song, Jongjoo Lee, Chulsoon Hwang

Electrical and Computer Engineering Faculty Research & Creative Works

In memory devices, such as solid-state drive, multitopology is used for interfaces where multiple memory packages are connected to a controller using a branched transmission line. Impedance mismatching caused by the branches and unwanted reflection from deactivated packages inevitably degrades signal quality, limiting the data rate of the interface. In this article, a simple stub equalizer is proposed to improve the data rate of the memory interface. An open-ended stub is placed between a transmitter and a receiver, and the length, impedance, and location of the stub line are determined to properly cancel the reflection from other branches. Parameters are …

Go to article

Efficient And Accurate Phase-Measurement Method For Core-Loss Characterization, Anfeng Huang, Jun Fan, Chulsoon Hwang Feb 2022

Efficient And Accurate Phase-Measurement Method For Core-Loss Characterization, Anfeng Huang, Jun Fan, Chulsoon Hwang

Electrical and Computer Engineering Faculty Research & Creative Works

Accurate core-loss characterization is essential to push the power density of power converters to their limits. However, existing core-loss measurement methods still have some limitations, such as a slow test speed and a complex probe calibration procedure. In particular, accurate phase-difference measurement is time-consuming because a fast Fourier transform analysis with a kHz-range frequency interval is typically applied to reduce the influence of noise. An automated measurement system for magnetic core-loss characterization is described in this paper. An accurate phase-detection block with programmable attenuators is developed to measure the phase difference between voltage and current waveforms. The proposed system considerably …

Go to article

A Statistical Mimo Channel Model For Reconfigurable Intelligent Surface Assisted Wireless Communications, Baiping Xiong, Zaichen Zhang, Hao Jiang, Hongming Zhang, Jiangfan Zhang, Liang Wu, Jian Dang Feb 2022

A Statistical Mimo Channel Model For Reconfigurable Intelligent Surface Assisted Wireless Communications, Baiping Xiong, Zaichen Zhang, Hao Jiang, Hongming Zhang, Jiangfan Zhang, Liang Wu, Jian Dang

Electrical and Computer Engineering Faculty Research & Creative Works

Reconfigurable intelligent surface (RIS) consisting of a large number of programmable near-passive units has been a hot topic in wireless communications due to its capability in providing smart radio environments to enhance the communication performance. However, the existing research are mainly based on simplistic channel models, which will, in principle, lead to inaccurate analysis of the system performance. In this paper, we propose a general three-dimensional (3D) wideband non-stationary end-to-end channel model for RIS assisted multiple-input multiple-output (MIMO) communications, which takes into account the physical properties of RIS, such as unit numbers, unit sizes, array orientations and array configurations. By …

Go to article

Prepreg And Core Dielectric Permittivity (Εr) Extraction For Fabricated Striplines' Far-End Crosstalk Modeling, Shaohui Yong, Srinath Penugonda, Donghyun Kim, Victor Khilkevich, Bo Pu, Xiaoning Ye, Qian Gao, Xiao Ding Cai, Bidyut Sen, Jun Fan Feb 2022

Prepreg And Core Dielectric Permittivity (Εr) Extraction For Fabricated Striplines' Far-End Crosstalk Modeling, Shaohui Yong, Srinath Penugonda, Donghyun Kim, Victor Khilkevich, Bo Pu, Xiaoning Ye, Qian Gao, Xiao Ding Cai, Bidyut Sen, Jun Fan

Electrical and Computer Engineering Faculty Research & Creative Works

As the data rate and density of digital high-speed systems are getting higher, far-end crosstalk (FEXT) noise becomes one of the major issues that limit signal integrity performance. It was commonly believed that FEXT would be eliminated for strip lines routed in a homogeneous dielectric, but in reality, FEXT can always be measured in strip lines on the fabricated printed circuit boards. A slightly different dielectric permittivity (ϵr) of prepreg and core may be one of the major contributors to the FEXT. This article is focusing on providing a practical FEXT modeling methodology for strip lines by introducing an approach …

Go to article

Joint Bidding Decision Of Wind Farms And Energy Storage Based On Newsvendor Model, Xinyue Sun, Jian Liu, Meng Ou, Yanyan Liu Feb 2022

Joint Bidding Decision Of Wind Farms And Energy Storage Based On Newsvendor Model, Xinyue Sun, Jian Liu, Meng Ou, Yanyan Liu

Electrical and Computer Engineering Faculty Research & Creative Works

Currently, renewable energy generation has received more and more attention. This article focuses on wind energy generation, one of the renewable energy sources. Aiming at the intermittent and unpredictable wind power problems, according to the day ahead bidding mechanism in the power market, this paper introduces the energy storage system to maximize wind power merchants profit based on the newsvendor model. First, this paper focuses on the wind farms combined with storage system to put forward the optimal bidding decision of selling or buying electricity to the market one day in advance and the optimal bidding amount. Then, we analyze …

Go to article

Study Of Synaptic Properties Of Honey Thin Film For Neuromorphic Systems, Brandon Sueoka, Kuan Yew Cheong, Feng Zhao Feb 2022

Study Of Synaptic Properties Of Honey Thin Film For Neuromorphic Systems, Brandon Sueoka, Kuan Yew Cheong, Feng Zhao

Electrical and Computer Engineering Faculty Research & Creative Works

Besides conventional electrical properties, materials for emerging artificial synaptic devices in brain-inspired neuromorphic systems need to have properties analogous to those of biological synapses, such as synaptic plasticity. In this work, we investigated, for the first time, the synaptic properties of a natural bio-organic material – honey. The honey film was sandwiched between Ag and ITO to form a structure resembling biological synapse. Neural facilitation, an essential synaptic plasticity, was demonstrated by honey thin film with a larger facilitation index, wider interval time range and higher dynamic filtering gain than other natural bio-organic materials. The results indicate that honey is …

Go to article

An Intelligent Distributed Ledger Construction Algorithm For Iot, Charles Rawlins, Jagannathan Sarangapani Jan 2022

An Intelligent Distributed Ledger Construction Algorithm For Iot, Charles Rawlins, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

Blockchain is the next generation of secure data management that creates near-immutable decentralized storage. Secure cryptography created a niche for blockchain to provide alternatives to well-known security compromises. However, design bottlenecks with traditional blockchain data structures scale poorly with increased network usage and are extremely computation-intensive. This made the technology difficult to combine with limited devices, like those in Internet of Things networks. In protocols like IOTA, replacement of blockchain's linked-list queue processing with a lightweight dynamic ledger showed remarkable throughput performance increase. However, current stochastic algorithms for ledger construction suffer distinct trade-offs between efficiency and security. This work proposed …

Go to article

Optical Interferometric Force Sensor Based On A Buckled Beam, Yan Tang, Jing Guo, Yizheng Chen, Jie Huang Jan 2022

Optical Interferometric Force Sensor Based On A Buckled Beam, Yan Tang, Jing Guo, Yizheng Chen, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

This paper reports a novel extrinsic Fabry-Perot interferometer (EFPI)-based fiber optic sensor for force measurement. The prototype force sensor consists of two EFPIs mounted on a stainless-steel rectangular frame. The primary sensing element, i.e., the first EFPI, is formed between the endface of a horizontally placed optical fiber and a stainless-steel buckled beam. The second EFPI, fashioned between a longitudinally placed optical fiber and a silver-coated glass beam, is arranged to demonstrate the amplification mechanism of the buckled beam structure. When the sensor is subjected to a tension force, the pre-buckled beam will deflect backward, resulting in a longitudinal/axial displacement …

Go to article

Characteristic Mode Analysis Prediction And Guidance Of Electromagnetic Coupling Measurements To A Uav Model, Mohamed Z. M. Hamdalla, Benjamin Bissen, James D. Hunter, Yuanzhuo Liu, Victor Khilkevich, Daryl G. Beetner, Anthony N. Caruso, Ahmed M. Hassan Jan 2022

Characteristic Mode Analysis Prediction And Guidance Of Electromagnetic Coupling Measurements To A Uav Model, Mohamed Z. M. Hamdalla, Benjamin Bissen, James D. Hunter, Yuanzhuo Liu, Victor Khilkevich, Daryl G. Beetner, Anthony N. Caruso, Ahmed M. Hassan

Electrical and Computer Engineering Faculty Research & Creative Works

In this work, we study the current coupled to a simplified Unmanned Aerial Vehicle (UAV) model using a dual computational and experimental approach. The simplified surrogate structure reduced the computational burden and facilitated the experimental measurement of the coupled currents. For a practical system, a wide range of simulations and measurements must be performed to analyze the induced current variations with respect to properties of the incident excitation waveform, such as the frequency, angle of incidence, and polarization. To simplify this analysis, Characteristic Mode Analysis (CMA) was used to compute the eigen-currents of the UAV model and predict where and …

Go to article

A Deep Learning Approach To Design And Discover Sustainable Cementitious Binders: Strategies To Learn From Small Databases And Develop Closed-Form Analytical Models, Taihao Han, Sai Akshay Ponduru, Rachel Cook, Jie Huang, Gaurav Sant, Aditya Kumar Jan 2022

A Deep Learning Approach To Design And Discover Sustainable Cementitious Binders: Strategies To Learn From Small Databases And Develop Closed-Form Analytical Models, Taihao Han, Sai Akshay Ponduru, Rachel Cook, Jie Huang, Gaurav Sant, Aditya Kumar

Electrical and Computer Engineering Faculty Research & Creative Works

To reduce the energy-intensity and carbon footprint of Portland cement (PC), the prevailing practice embraced by concrete technologists is to partially replace the PC in concrete with supplementary cementitious materials [SCMs: geological materials (e.g., limestone); industrial by-products (e.g., fly ash); and processed materials (e.g., calcined clay)]. Chemistry and content of the SCM profoundly affect PC hydration kinetics; which, in turn, dictates the evolutions of microstructure and properties of the [PC + SCM] binder. Owing to the substantial diversity in SCMs' compositions-plus the massive combinatorial spaces, and the highly nonlinear and mutually-interacting processes that arise from SCM-PC interactions-state-of-the-art computational models are …

Go to article

An Interleaved High Step-Up Dc-Dc Converter Based On Integration Of Coupled Inductor And Built-In-Transformer With Switched-Capacitor Cells For Renewable Energy Applications, Ramin Rahimi, Saeed Habibi, Mehdi Ferdowsi, Pourya Shamsi Jan 2022

An Interleaved High Step-Up Dc-Dc Converter Based On Integration Of Coupled Inductor And Built-In-Transformer With Switched-Capacitor Cells For Renewable Energy Applications, Ramin Rahimi, Saeed Habibi, Mehdi Ferdowsi, Pourya Shamsi

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes an interleaved high step-up DC-DC converter with the coupled inductor (CI) and built-in transformer (BIT) for renewable energy applications. Two double-winding (2W) CIs and one triple-winding (3W) BIT are integrated with the switched-capacitor (SC) voltage multiplier cells (VMCs) to achieve high-voltage gains without extreme duty cycles. The CIs and BIT turns-ratios provide two other degrees of freedom -- in addition to the duty cycle -- to adjust the voltage gain that leads to increased design flexibility. The diodes turn off naturally under the zero-current switching (ZCS) conditions because their current falling rates are controlled by the leakage …

Go to article

A Deep Learning Approach To Design And Discover Sustainable Cementitious Binders: Strategies To Learn From Small Databases And Develop Closed-Form Analytical Models, Taihao Han, Sai Akshay Ponduru, Rachel Cook, Jie Huang, Gaurav Sant, Aditya Kumar Jan 2022

A Deep Learning Approach To Design And Discover Sustainable Cementitious Binders: Strategies To Learn From Small Databases And Develop Closed-Form Analytical Models, Taihao Han, Sai Akshay Ponduru, Rachel Cook, Jie Huang, Gaurav Sant, Aditya Kumar

Electrical and Computer Engineering Faculty Research & Creative Works

To reduce the energy-intensity and carbon footprint of Portland cement (PC), the prevailing practice embraced by concrete technologists is to partially replace the PC in concrete with supplementary cementitious materials [SCMs: geological materials (e.g., limestone); industrial by-products (e.g., fly ash); and processed materials (e.g., calcined clay)]. Chemistry and content of the SCM profoundly affect PC hydration kinetics; which, in turn, dictates the evolutions of microstructure and properties of the [PC + SCM] binder. Owing to the substantial diversity in SCMs' compositions–plus the massive combinatorial spaces, and the highly nonlinear and mutually-interacting processes that arise from SCM-PC interactions–state-of-the-art computational models are …

Go to article

An Interleaved High Step-Up Dc-Dc Converter With Coupled Inductor And Built-In Transformer For Renewable Energy Applications, Ramin Rahimi, Saeed Habibi, Mehdi Ferdowsi, Pourya Shamsi Jan 2022

An Interleaved High Step-Up Dc-Dc Converter With Coupled Inductor And Built-In Transformer For Renewable Energy Applications, Ramin Rahimi, Saeed Habibi, Mehdi Ferdowsi, Pourya Shamsi

Electrical and Computer Engineering Faculty Research & Creative Works

This paper introduces an interleaved high step-up DC-DC converter with high voltage gain, low voltage stresses on the switches, low current stresses on the components, and continuous input current with low ripple, all of which are beneficial for the renewable energy (RE) applications. The proposed converter is based on the integration of three voltage-boosting (VB) methods: coupled inductor (CI), built-in transformer (BIT), and switched-capacitor (SC) cells. The energies of the leakage inductances of the CIs and BIT are absorbed and recirculated to the output side, which further extends the voltage gain. In addition, the current-falling rates of the diodes are …

Go to article

A Spline-Based Partial Element Equivalent Circuit Method For Electrostatics, Riccardo Torchio, Maximilian Nolte, Sebastian Schops, Albert E. Ruehli Jan 2022

A Spline-Based Partial Element Equivalent Circuit Method For Electrostatics, Riccardo Torchio, Maximilian Nolte, Sebastian Schops, Albert E. Ruehli

Electrical and Computer Engineering Faculty Research & Creative Works

This contribution investigates the connection between Isogeometric Analysis (IgA) and the Partial Element Equivalent Circuit (PEEC) method for electrostatic problems. We demonstrate that using the spline-based geometry concepts from IgA allows for extracting circuit elements without an explicit meshing step. Moreover, the proposed IgA-PEEC method converges for complex geometries up to three times faster than the conventional PEEC approach and, in turn, it requires a significantly lower number of degrees of freedom to solve a problem with comparable accuracy. The resulting method is closely related to the isogeometric boundary element method. However, it uses lowest-order basis functions to allow for …

Go to article

Optimal Adaptive Output Regulation Of Uncertain Nonlinear Discrete-Time Systems Using Lifelong Concurrent Learning, R. Moghadam, B. Farzanegan, S.(Sarangapani) Jagannathan, P. Natarajan Jan 2022

Optimal Adaptive Output Regulation Of Uncertain Nonlinear Discrete-Time Systems Using Lifelong Concurrent Learning, R. Moghadam, B. Farzanegan, S.(Sarangapani) Jagannathan, P. Natarajan

Electrical and Computer Engineering Faculty Research & Creative Works

This Paper Addresses Neural Network (NN) based Optimal Adaptive Regulation of Uncertain Nonlinear Discrete-Time Systems in Affine Form using Output Feedback Via Lifelong Concurrent Learning. First, an Adaptive NN Observer is Introduced to Estimate Both the State Vector and Control Coefficient Matrix, and its NN Weights Are Adjusted using Both Output Error and Concurrent Learning Term to Relax the Persistency Excitation (PE) Condition. Next, by Utilizing an Actor-Critic Framework for Estimating the Value Functional and Control Policy, the Critic Network Weights Are Tuned Via Both Temporal Different Error and Concurrent Learning Schemes through a Replay Buffer. the Actor NN Weights …

Go to article

Graphene Based Tunable Terahertz Holographic Antennas, Pengfei Ren, Lijun Jiang, Ping Li Jan 2022

Graphene Based Tunable Terahertz Holographic Antennas, Pengfei Ren, Lijun Jiang, Ping Li

Electrical and Computer Engineering Faculty Research & Creative Works

In this work, several representative terahertz (THz) graphene holographic impedance surface antenna are presented. Different to the conventional impedance surface antenna that manipulates the surface impedance via varying the patch size in each unit cell, the surface impedance of the proposed antenna in this paper is readily controlled by applying a tunable DC biasing to each graphene patch cell, the physics behind which is that the conductivity of the graphene is a function of imposed voltage. Thus, the graphene patches of the proposed antenna have same size as well as equal spacing, which makes the modeling process more convenient and …

Go to article

Dc Ir-Drop Analysis Of Power Distribution Networks By A Robin Transmission Condition-Enhanced Discontinuous Galerkin Method, An Fa Yang, Min Tang, Jun Fa Mao, Li (Lijun) Jun Jiang, Hakan Bagcii, Ping Li Jan 2022

Dc Ir-Drop Analysis Of Power Distribution Networks By A Robin Transmission Condition-Enhanced Discontinuous Galerkin Method, An Fa Yang, Min Tang, Jun Fa Mao, Li (Lijun) Jun Jiang, Hakan Bagcii, Ping Li

Electrical and Computer Engineering Faculty Research & Creative Works

In this work, a novel Robin transmission condition (RTC)-enhanced discontinuous Galerkin (DG) method is proposed for the dc IR-drop analysis of power distribution networks with Joule heating effects included. Unlike the conventional DG method, the proposed DG method straightforwardly applied to discretize the second-order spatial partial differential governing equations for the electrostatic potential $\Phi $ and the steady-state temperature $T$. The numerical flux in DG used to facilitate the information exchange among neighboring subdomains introduces two additional variables: the current density $J$ for the electrical potential equation and the thermal flux $q$ for the thermal equation. To solve them, at …

Go to article

Discrete And Integrated Solutions For Hybrid Pv Plants Without Momentary Cessation In Low Scr And High Penetration Pe Grids, Phani R.V. Marthi, Suman Debnath, Jiuping Pan, Mariesa Crow Jan 2022

Discrete And Integrated Solutions For Hybrid Pv Plants Without Momentary Cessation In Low Scr And High Penetration Pe Grids, Phani R.V. Marthi, Suman Debnath, Jiuping Pan, Mariesa Crow

Electrical and Computer Engineering Faculty Research & Creative Works

With the increased penetration of power electronic (PE) based loads and sources, advanced solutions may be required for the enhancement of grid stability in regions with low short circuit ratio (SCR) and high penetration PE grids. The requirement of advanced solutions arises from the gradual paradigm shift of the electric grid from the traditional electric machine dominant system to a high penetration of PE-based system. One of the major challenges with such systems in recent times is the momentary cessation during alternating current (ac) grid transmission faults. During momentary cessation, PE-based resources cease to operate, thus creating probable reliability challenges …

Go to article

Review Of Fiber Optic Displacement Sensors, Chen Zhu, Yiyang Zhuang, Bo Liu, Jie Huang Jan 2022

Review Of Fiber Optic Displacement Sensors, Chen Zhu, Yiyang Zhuang, Bo Liu, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Displacement Measurements Are of Significant Importance in a Variety of Critical Scientific and Engineering Fields, Such as Gravitational Wave Detection, Geophysical Research, and Manufacturing Industries. Due to the Inherent Advantages Such as Compactness, High Sensitivity, and Immunity to Electromagnetic Interference, in Recent Years, Fiber Optic Sensors Have Been Widely Used in an Expansive Range of Sensing Applications, Ranging from Infrastructural Health Monitoring to Chemical and Biological Sensing. of Particular Interest Here, Fiber Optic Displacement Sensors Have Gained Wide Interest and Have Evolved from Basic Intensity Modulation-Based Configurations to More Advanced Structures, Such as Fiber Bragg Grating (FBG)-Based and Interferometric Configurations. …

Go to article

Message From The 2022 Program Chairs-In-Chief, Hong Va Leong, Sahra Sedigh Sarvestani, Yuuichi Teranishi Jan 2022

Message From The 2022 Program Chairs-In-Chief, Hong Va Leong, Sahra Sedigh Sarvestani, Yuuichi Teranishi

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

Go to article

Temperature-Insensitive Inclinometer Based On Transmission Line Fabry-Perot Resonators, Jing Guo, Chen Zhu, Yan Tang, Jie Huang Jan 2022

Temperature-Insensitive Inclinometer Based On Transmission Line Fabry-Perot Resonators, Jing Guo, Chen Zhu, Yan Tang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

This Article Reports a Novel Self-Compensated Inclinometer with a Wide Dynamic Range and High Measurement Resolution based on Two Hollow Coaxial Cable Fabry-Perot Resonators (HCC-FPRs). the HCC-FPR is Formed between a Metal Post that Shorts the Inner Conductor and the Outer Conductor of the HCC and the Water Level Inside the HCC. Changes in Tilt Angles Result in Variations of the Water Level in the HCC, Leading to Changes in the Cavity Length of the HCC-FPR. by Tracking the Shift of the Resonance Wavelength of the HCC-FPR, a Single HCC-FPR Can Be Used as a Sensor Device for Tilt Measurements. …

Go to article

Proportional Fair Clustered Federated Learning, Mohamed Nafea, Eugine Shin, Aylin Yener Jan 2022

Proportional Fair Clustered Federated Learning, Mohamed Nafea, Eugine Shin, Aylin Yener

Electrical and Computer Engineering Faculty Research & Creative Works

This paper studies federated learning (FL) with non-identical data generating distributions and under the notion of proportional fairness. Users are partitioned into disjoint clusters based on their data distributions, and a distinct model is learnt for each cluster. Different than previous work that considered clustering to optimize personalized learning performance, here clustering is inspected under the disparate impact doctrine which requires that protected classes (e.g., those of certain race or gender) have representations in every cluster that are approximately equal to their representation in the overall set of users. A family of iterative algorithms that balance the learning performance and …

Go to article

Honey-Cnt Based Resistive Switching Device For Neuromorphic Computing Applications, Md Mehedi Hasan Tanim, Abdi Yamil Vicenciodelmoral, Zoe Templin, Xinghui Zhao, Feng Zhao Jan 2022

Honey-Cnt Based Resistive Switching Device For Neuromorphic Computing Applications, Md Mehedi Hasan Tanim, Abdi Yamil Vicenciodelmoral, Zoe Templin, Xinghui Zhao, Feng Zhao

Electrical and Computer Engineering Faculty Research & Creative Works

Modern computing applications increasingly rely on technologies in artificial intelligence, machine learning, and big data analytics. These applications often demand more powerful and energy-efficient hardware. Resistive switching random access memory (ReRAM) has emerged as a promising solution to satisfy both the storage and computing needs. In this paper, a natural organic honey film embedded with carbon nanotube (CNT) was fabricated into a resistive switching device, and the resistive switching behaviors were investigated. Endurance test results show the cycle-to-cycle variation of set and reset voltages. On/Off ratio in retention test was found to be in the order of ~105 which proves …

Go to article

Design Of Dual-Band Mimo Decoupling Network, Min Li, Lijun Jiang, Kwan Lawrence Yeung Jan 2022

Design Of Dual-Band Mimo Decoupling Network, Min Li, Lijun Jiang, Kwan Lawrence Yeung

Electrical and Computer Engineering Faculty Research & Creative Works

In the past decades, kinds of decoupling approaches were used to improve isolation among multiple-input multiple-output (MIMO) antennas, such as defected ground structure (DGS) [1], parasitic structure [2], decoupling network (DN) [3], etc. However, most were applied to single-band antennas. Dual-band decoupling is still challenging. This paper proposes a method to design the dual-band DN [4] with an arbitrary frequency band ratio (f2/f1). Besides, the proposed DN has a wideband decoupling performance.

Go to article

Modeling Of Spatial-Temporal Sea Clutter With I/Q Components Based On The Data-Driven Approximation Of Koopman Theory, Y. M. Zhang, L. (Lijun) J. Jiang Jan 2022

Modeling Of Spatial-Temporal Sea Clutter With I/Q Components Based On The Data-Driven Approximation Of Koopman Theory, Y. M. Zhang, L. (Lijun) J. Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel data-driven approximation of the Koopman theory algorithm is proposed to simulate the coherent and spatial-temporal correlated sea clutter. The evolution of sea clutter's in-phase and quadrature (I/Q) components are well simulated on the state space. Meanwhile, the amplitude distribution and the phase retrieval of sea clutter can be extracted and modeled. The experimental sea clutter data measured by the IPIX radar is used to demonstrate that this newly proposed data-driven approximation of the Koopman theory algorithm can simulate the sea clutter with the phase retrieval, the expected amplitude information, and the spatial-temporal relationship. Our work …

Go to article

Graphene-Based Terahertz Holographic Conformal Antenna, Peng Fei Ren, Li (Lijun) Jun Jiang, Ping Li Jan 2022

Graphene-Based Terahertz Holographic Conformal Antenna, Peng Fei Ren, Li (Lijun) Jun Jiang, Ping Li

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a conformal graphene holographic antenna designed for terahertz (THz) band is proposed. The radiation principle of the proposed pattern reconfigurable antenna is based on the holographic technology. The surface reactance modulation and pattern steering capability can be easily facilitated by a tunable DC-biased graphene patch array. Thanks to the super thin structure and excellent mechanical property of graphene, the proposed THz graphene holographic antenna can be designed conformal to required platforms easily. Besides, the equal size as well as same spacing of graphene patches make it easy to modeling and manufacture. To verify the proposed idea, an …

Go to article

Analysis Of The Shielding Effectiveness Of Chassis Based On Dgtd Method, Zheng Lang Jia, Lei Zhao, Zhao Sheng Xue, Ying Liu, Huan Huan Zhang, L. (Lijun) J. Jiang Jan 2022

Analysis Of The Shielding Effectiveness Of Chassis Based On Dgtd Method, Zheng Lang Jia, Lei Zhao, Zhao Sheng Xue, Ying Liu, Huan Huan Zhang, L. (Lijun) J. Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

An electromagnetic simulation method is proposed for shielding effectiveness (SE) of chassis in this paper. The discontinuous Galerkin time-domain (DGTD) equation is established based on Maxwell's equation. The uniaxial perfectly matched layer (UPML) is used as an absorbing boundary condition to simulate an open space. At last, the method is applied to analyze the effect of the aspect ratios of rectangular apertures on shielding effectiveness.

Go to article

Electromagnetic-Thermal Co-Simulation Of Microstrip Filter, Xin Yi Liu, Zheng Lang Jia, Huan Huan Zhang, Ying Liu, W. E.I. Sha, L. (Lijun) J. Jiang Jan 2022

Electromagnetic-Thermal Co-Simulation Of Microstrip Filter, Xin Yi Liu, Zheng Lang Jia, Huan Huan Zhang, Ying Liu, W. E.I. Sha, L. (Lijun) J. Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

An electromagnetic-thermal co-simulation method is proposed for microstrip filter in this paper. The Maxwell equation is solved by discontinuous Galerkin time-domain (DGTD) method, while thermal simulation is carried out based on finite-element time-domain (FETD) method. Electromagnetic and thermal simulations are coupled by power loss and temperature-dependent conductivity. At last, the method is applied to analyze the microstrip low-pass filter.

Go to article

Simulation Study Of A Probabilistic Measurement Terminator For Cloud Radar Systems Using Cloudsat Data, Jakob Delong, Joel T. Johnson Jan 2022

Simulation Study Of A Probabilistic Measurement Terminator For Cloud Radar Systems Using Cloudsat Data, Jakob Delong, Joel T. Johnson

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a novel probabilistic method that is used to identify low-SNR measurements in a cloud profiling radar application and terminate them before completion to save resources. The method uses a statistical model to predict the final SNR level of a measurement in progress and terminate it if it falls below a specified threshold at a specified level of confidence. The method is applied in a simulation study in which radar backscattered power profiles are obtained from CloudSat radar data, and is shown to achieve favorable performance.

Go to article

First Prev Next Last