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Articles 2941 - 2970 of 33019

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Inverter Pq Control With Trajectory Tracking Capability For Microgrids Based On Physics-Informed Reinforcement Learning, Buxin She, Fangxing Li, Hantao Cui, Hang Shuai, Oroghene Oboreh-Snapps, Rui Bo, Nattapat Praisuwanna, Jingxin Wang, Leon M. Tolbert Jan 2023

Inverter Pq Control With Trajectory Tracking Capability For Microgrids Based On Physics-Informed Reinforcement Learning, Buxin She, Fangxing Li, Hantao Cui, Hang Shuai, Oroghene Oboreh-Snapps, Rui Bo, Nattapat Praisuwanna, Jingxin Wang, Leon M. Tolbert

Electrical and Computer Engineering Faculty Research & Creative Works

The increasing penetration of inverter-based resources (IBRs) calls for an advanced active and reactive power (PQ) control strategy in microgrids. To enhance the controllability and flexibility of the IBRs, this paper proposed an adaptive PQ control method with trajectory tracking capability, combining model-based analysis, physics-informed reinforcement learning (RL), and power hardware-in-the-loop (HIL) experiments. First, model-based analysis proves that there exists an adaptive proportional-integral controller with time-varying gains that can ensure any exponential PQ output trajectory of IBRs. These gains consist of a constant factor and an exponentially decaying factor, which are then obtained using a model-free deep reinforcement learning approach …

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A Methodology For Predicting Improved Dipole Source Configurations From Near-Field Scan Data, Hossein Rezaei, Xin Yan, David J. Pommerenke, Daryl G. Beetner Jan 2023

A Methodology For Predicting Improved Dipole Source Configurations From Near-Field Scan Data, Hossein Rezaei, Xin Yan, David J. Pommerenke, Daryl G. Beetner

Electrical and Computer Engineering Faculty Research & Creative Works

Equivalent sources found from near-electric and magnetic field scans are often used to predict and solve interference problems. While there are many ways to represent the source, the user lacks the ability to determine which of the many possible source configurations is more likely to represent the "true" source, and thus accurately represent field data outside the measurement area and in the presence of typical measurement errors. A methodology is proposed for estimating which of many possible dipole source representations of near-field scan data are likely to give better estimates of fields outside the measurement scan plane when utilizing imperfect …

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Filter-Based Fault Detection And Isolation In Distributed Parameter Systems Modeled By Parabolic Partial Differential Equations, Hasan Ferdowsi, Jia Cai, Sarangapani Jagannathan Jan 2023

Filter-Based Fault Detection And Isolation In Distributed Parameter Systems Modeled By Parabolic Partial Differential Equations, Hasan Ferdowsi, Jia Cai, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This paper covers model-based fault detection and isolation for linear and nonlinear distributed parameter systems (DPS). The first part mainly deals with actuator, sensor and state fault detection and isolation for a class of DPS represented by a set of coupled linear partial differential equations (PDE). A filter based observer is designed based on the linear PDE representation using which a detection residual is generated. A fault is detected when the magnitude of the detection residual exceeds a detection threshold. Upon detection, several isolation estimators are designed using filters whose output residuals are compared with predefined isolation thresholds. A fault …

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Highly Sensitive Humidity Sensor Based On Optical Fiber Fabry-Perot Interferometer, Chen Zhu, Jie Huang Jan 2023

Highly Sensitive Humidity Sensor Based On Optical Fiber Fabry-Perot Interferometer, Chen Zhu, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

An ultra-sensitive optical fiber humidity sensor based on an extrinsic Fabry-Perot interferometer is proposed and experimentally demonstrated in this paper. the Fabry-Perot cavity is constructed by a section of humidity-sensitive metal-paper coil and an optical fiber end face. Taking advantage of the hydrophilicity of the metal-paper coil, the cavity length of the Fabry-Perot cavity varies with humidity due to the deflection of the metal-paper section. the fabricated sensor shows a linear response to relative humidity (RH) spanning from 50%RH to 73%RH. More prominently, an ultra-high sensitivity of 32.5 μm%RH (change in cavity length/change in RH) or 63.5 nm%RH (wavelength shift/change …

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Bidirectional Asymmetric Clllc Resonant Dc-Dc Converter For Onboard Electric Vehicle Chargers, Angshuman Sharma, Alvaro Cardoza, Kartikeya J.P. Veeramraju, Oroghene Oboreh-Snapps, Jonathan W. Kimball Jan 2023

Bidirectional Asymmetric Clllc Resonant Dc-Dc Converter For Onboard Electric Vehicle Chargers, Angshuman Sharma, Alvaro Cardoza, Kartikeya J.P. Veeramraju, Oroghene Oboreh-Snapps, Jonathan W. Kimball

Electrical and Computer Engineering Faculty Research & Creative Works

Bidirectional CLLLC resonant dc-dc converters with an asymmetric tank can narrow the switching frequency bandwidth required to meet the asymmetric voltage gains in the two directions of power flow. Consequently, higher power density and efficiency may be feasible. in this paper, a CLLLC resonant converter with asymmetric primary and secondary capacitances is investigated for charging and discharging the next-generation 900 V traction battery of an electric vehicle. First, a new voltage gain equation is formulated using the First Harmonic Approximation. Then, the proposed gain equation is used to design the asymmetric resonant tank. the effects of asymmetric capacitances on the …

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Retracted: A Robust Integrated Approach For Optimal Management Of Power Networks Encompassing Wind Power Plants, Aliasghar Baziar, Mohammad Reza Akbarizadeh, Amin Hajizadeh, Mousa Marzband, Rui Bo Jan 2023

Retracted: A Robust Integrated Approach For Optimal Management Of Power Networks Encompassing Wind Power Plants, Aliasghar Baziar, Mohammad Reza Akbarizadeh, Amin Hajizadeh, Mousa Marzband, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

This paper basically concentrates on providing some significant steps for congestion management of the power systems based on an interval-Based robust chance constrained transmission switching (IBRCC-TS) approach for decreasing the congestion of the system while increasing the robustness of the system against uncertainties of the wind turbines. However, the utilization of TS approach in the power system is a severe challenge, since there is no limitation over the switching rate during a certain timespan in the network as well as the power switches' failure uncertainty. Besides, the frequent switching by the TS method decreases the switch maintenance and puts the …

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Reinforcement Learning-Guided Quadratically Constrained Quadratic Programming For Enhanced Convergence And Optimality, Chaoying Pei, Zhi Xu, Sixiong You, Jeffrey Sun, Ran Dai Jan 2023

Reinforcement Learning-Guided Quadratically Constrained Quadratic Programming For Enhanced Convergence And Optimality, Chaoying Pei, Zhi Xu, Sixiong You, Jeffrey Sun, Ran Dai

Mechanical and Aerospace Engineering Faculty Research & Creative Works

In the context of Quadratically Constrained Quadratic Programming (QCQP) with dynamic parameters, the effectiveness of various optimization approaches is heavily influenced by the quality of the initial guess. To address this challenge, this paper proposes a novel approach that leverages reinforcement learning (RL) to generate high-performing initial guesses for iterative algorithms, with the dynamic parameters serving as inputs. Our approach aims to accelerate convergence and improve the objective value, thereby enabling efficient and effective solutions to the QCQP problem under variability. In this study, we evaluate the proposed approach by applying it to an iterative algorithm, specifically the Iterative Rank …

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Mixed-Input Learning For Multi-Point Landing Guidance With Hazard Avoidance Part I: Offline Mission Planning Based On Multi-Stage Optimization, Chaoying Pei, Sixiong You, Ran Dai, Jeremy R. Rea Jan 2023

Mixed-Input Learning For Multi-Point Landing Guidance With Hazard Avoidance Part I: Offline Mission Planning Based On Multi-Stage Optimization, Chaoying Pei, Sixiong You, Ran Dai, Jeremy R. Rea

Mechanical and Aerospace Engineering Faculty Research & Creative Works

This paper proposes a multi-stage optimization framework based on iterative second-order cone programming (SOCP) to solve the three-dimensional (3D) multi-point landing guidance (MLG) problem with hazard avoidance. The approach is used to generate the offline optimal trajectories for database construction in Part II of this paper, it aims to select a safe landing point while finding an optimal path to the selected landing point with minimum fuel consumption. First, by introducing binary variables associated with quadratic constraints, the MLG problem with hazard avoidance is equivalently reformulated as a quadratically constrained quadratic programming (QCQP) problem. Next, to solve the reformulated QCQP …

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Feature-Based Learning For Optimal Abort Guidance, Vinay Kenny, Sixiong You, Godfrey Hendrix, Chaoying Pei, Roha Gul, Ran Dai, Jeremy R. Rea Jan 2023

Feature-Based Learning For Optimal Abort Guidance, Vinay Kenny, Sixiong You, Godfrey Hendrix, Chaoying Pei, Roha Gul, Ran Dai, Jeremy R. Rea

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The abort mission refers to the mission where the landing vehicle needs to terminate the landing mission when an anomaly happens and be safely guided to the desired orbit. This paper focuses on solving the time-optimal abort guidance (TOAG) problem in real-time via the feature-based learning method. First, according to the optimal control theory, the features are identified to represent the optimal solutions of TOAG using a few parameters. After that, a sufficiently large dataset of time-optimal abort trajectories is generated offline by solving the TOAG problems with different initial conditions. Then the features are extracted for all generated cases. …

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A Data-Driven Approach To Multiresolution Analysis Of Near-Field Scanning, Yanming Zhang, Lijun Jiang Jan 2023

A Data-Driven Approach To Multiresolution Analysis Of Near-Field Scanning, Yanming Zhang, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

Near-field scanning has been widely adopted as a valuable tool in diagnosing electromagnetic compatibility (EMC) and electromagnetic interference (EMI) problems. This paper proposes a multiresolution dynamic mode decomposition (MRDMD)-based method for analyzing time-varying near-field radiation. MRDMD executes the traditional DMD method recursively and hierarchically. The distribution of DMD eigenvalues determines the slow and fast modes in a level's decomposition, in which the slow modes are reserved, and the fast modes are utilized to generate the input data for the next level. Finally, the multiresolution time-frequency representation of the near-field radiation field is obtained. And the spatial distributions corresponding to each …

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Lifelong Deep Learning-Based Control Of Robot Manipulators, Irfan Ganie, Jagannathan Sarangapani Jan 2023

Lifelong Deep Learning-Based Control Of Robot Manipulators, Irfan Ganie, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

This study proposes a lifelong deep learning control scheme for robotic manipulators with bounded disturbances. This scheme involves the use of an online tunable deep neural network (DNN) to approximate the unknown nonlinear dynamics of the robot. The control scheme is developed by using a singular value decomposition-based direct tracking error-driven approach, which is utilized to derive the weight update laws for the DNN. To avoid catastrophic forgetting in multi-task scenarios and to ensure lifelong learning (LL), a novel online LL scheme based on elastic weight consolidation is included in the DNN weight-tuning laws. Our results demonstrate that the resulting …

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Miniature Optical Fiber-Tip High-Temperature Sensors Modified By Femtosecond Laser, Chen Zhu, Jie Huang Jan 2023

Miniature Optical Fiber-Tip High-Temperature Sensors Modified By Femtosecond Laser, Chen Zhu, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Miniature optical fiber-tip Fabry-Perot interferometric sensors fabricated by femtosecond laser micromachining for eliminating the additional Fresnel reflection and avoiding complicated amplitude modulation in the reflection spectra are demonstrated.

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Rafid: A Lightweight Approach To Radio Frequency Interference Detection In Time Domain Using Lstm And Statistical Analysis, Luke A. Smith, Vishesh Kumar Tanwar, Maciej Jan Zawodniok, Sanjay Kumar Madria Jan 2023

Rafid: A Lightweight Approach To Radio Frequency Interference Detection In Time Domain Using Lstm And Statistical Analysis, Luke A. Smith, Vishesh Kumar Tanwar, Maciej Jan Zawodniok, Sanjay Kumar Madria

Electrical and Computer Engineering Faculty Research & Creative Works

Recently, the utilization of Radio Frequency (RF) devices has increased exponentially over numerous vertical platforms. This rise has led to an abundance of Radio Frequency Interference (RFI) continues to plague RF systems today. The continued crowding of the RF spectrum makes RFI efficient and lightweight mitigation critical. Detecting and localizing the interfering signals is the foremost step for mitigating RFI concerns. Addressing these challenges, we propose a novel and lightweight approach, namely RaFID, to detect and locate the RFI by incorporating deep neural networks (DNNs) and statistical analysis via batch-wise mean aggregation and standard deviation (SD) calculations. RaFID investigates the …

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Pcb Based Modulated Scatter With Enhanced Modulation Depth, Dylan A. Crocker, Kristen M. Donnell Jan 2023

Pcb Based Modulated Scatter With Enhanced Modulation Depth, Dylan A. Crocker, Kristen M. Donnell

Electrical and Computer Engineering Faculty Research & Creative Works

The Modulated Scatterer Technique (MST) Has Shown Promise for Applications in Microwave Imaging, Electric Field Mapping, and Materials Characterization. Traditionally, MST Scatterers Are Dipoles Centrally Loaded with an Element Capable of Modulation (E.g., a PIN Diode). by Modulating the Load Element State, the Scattered Fields Are Also Modulated. However, Due to the Small Size of Such Scatterers, It Can Be Difficult to Reliably Detect the Response. Increasing the Modulation Depth (MD) of the Scattered Signal May Improve Detectability. This Paper Presents Simulations and Measurements of PCB-Based MST Elements that, through Reactive Loading, Are Designed to Be Electrically Invisible during the …

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Modified H-Plane Sectoral Horn For Fss Sensing Applications, Logan M. Wilcox, Doyle T. Motes, Kristen M. Donnell Jan 2023

Modified H-Plane Sectoral Horn For Fss Sensing Applications, Logan M. Wilcox, Doyle T. Motes, Kristen M. Donnell

Electrical and Computer Engineering Faculty Research & Creative Works

The Use of Frequency Selective Surfaces (FSSs) as Sensors Has Found Recent Success in the Structural Health Monitoring Realm. FSS Theory Assumes Infinite FSS Dimensions and Planewave Illumination. However, in Practice, an FSS Sensor is Finite, and the Illuminating Field Varies Across the Plane of the Sensor. as Such, it is of Interest to Reduce the Nonuniformity of the Incident Electromagnetic Energy Incident on the Sensor. to This End, This Work Explores the Modification of a Standard H-Plane Sectoral Horn through the Addition of a Ridge to Generate a Uniform Electric Field over a Specified Region of Interest. in Addition …

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Predicting Radiated Emissions From An Electrical Drive System, Giorgi Tsintsadze, Haran Manoharan, Daryl G. Beetner, Daniel Commerou, Brain Booth, Kerry Martin Jan 2023

Predicting Radiated Emissions From An Electrical Drive System, Giorgi Tsintsadze, Haran Manoharan, Daryl G. Beetner, Daniel Commerou, Brain Booth, Kerry Martin

Electrical and Computer Engineering Faculty Research & Creative Works

A Measurement-Based SPICE Model is Proposed to Predict Radiated Emissions from an Electrical Drive System over a Frequency Range from 20-300 MHz. the Model Combines a Model for the Radiated Emissions from the Cabling and Housings with a Model for Coupling Inside the Electrical Motor. the Electromagnetic Properties of the Cabling and Housings Were Captured with Measured S-Parameters. the Coupling Mechanisms Inside the Electrical Machine Were Represented using a Circuit- Element based Model. the Intent is to Provide Insight into How Coupling Mechanisms and Placement of Structures in the Motor Affect Radiated Emissions from the Drive System, and to Give …

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Application Of Tvs Models For Seed Simulation Of A Variety Of Tvs Devices, Li Shen, Yang Xu, Steffen Holland, Sergej Bub, David Pommerenke, Daryl G. Beetner Jan 2023

Application Of Tvs Models For Seed Simulation Of A Variety Of Tvs Devices, Li Shen, Yang Xu, Steffen Holland, Sergej Bub, David Pommerenke, Daryl G. Beetner

Electrical and Computer Engineering Faculty Research & Creative Works

Accurate Models of Transient Voltage Suppression (TVS) Devices Are Important for Determining the Suitability of Electrostatic Discharge (ESD) Protection Strategies Early in the Design Process. an Improved TVS Model is Used in the Following Paper to Represent a Variety of TVS Devices, Including a Snapback Device, Non-Snapback Device, and a Varistor. the Models Include Recent Improvements to Represent Conductivity Modulation and the overall Shape of the TVS Device's Transient Response. the Models Are Tuned based on Characterizations of These Protection Devices using a Transmission Line Pulse (TLP) and Are Then Used in a System Efficient ESD Design (SEED) Simulation to …

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Analysis And Modeling Framework Of Common Mode Noise In A Three-Phase Motor System, Manish K. Mathew, Xin Yan, Yuandong Guo, Tanner Fokkens, Li Shen, Daryl G. Beetner, Donghyun Kim Jan 2023

Analysis And Modeling Framework Of Common Mode Noise In A Three-Phase Motor System, Manish K. Mathew, Xin Yan, Yuandong Guo, Tanner Fokkens, Li Shen, Daryl G. Beetner, Donghyun Kim

Electrical and Computer Engineering Faculty Research & Creative Works

Electromagnetic Interference (EMI) Issue is One of the Major Constraints of Power Electronic Converters, Especially for Variable-Speed Systems. in This Work, the Common Mode Noise in a Three-Phase Motor System is Analyzed and Modeled. the Three-Phase Pulse-Width Modulation (PWM) Inverter Creates High Magnitudes of Dv/dt and Di/dt, Resulting in Common Mode Noise and Disturbance Power. in This Paper, the Common Mode Noise and Disturbance Power Modeling Method Are Proposed for Three-Phase Motor Systems. the Proposed Equivalent Circuit Model Comprises Detailed Models for Insulated Gate Bipolar Transistors (IGBTs), EMI Filters, a Three-Phase Motor and a Printed Circuit Board (PCB). the Proposed …

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Mode-Decomposition-Based Equivalent Via (Mev) Model And Mev Model Application Range Analysis, Chaofeng Li, Kevin Cai, Muqi Ouyang, Manish Kizhakkeveettil Mathew, Mehdi Mousav, Bidyut Sen, Donghyun Kim Jan 2023

Mode-Decomposition-Based Equivalent Via (Mev) Model And Mev Model Application Range Analysis, Chaofeng Li, Kevin Cai, Muqi Ouyang, Manish Kizhakkeveettil Mathew, Mehdi Mousav, Bidyut Sen, Donghyun Kim

Electrical and Computer Engineering Faculty Research & Creative Works

The Mode-Decomposition-Based Equivalent Via (MEV) Model is Proposed in This Paper, which is a Physics-Based Equivalent Model for the High-Speed Channel Modeling. the Application Ranges of the MEV Model Are Analyzed by Varying Anti-Pad Radius, Via Radius, and Distance between the Parallel Plates for a Single Via with Multiple Layers. based on the S-Parameter Comparison with Full-Wave Simulations, the MEV Model is Useful for the Insertion Loss Calculation Up to 100 GHz. Meanwhile, the Return Loss from the MEV Model Shows a High Level of Correlation with Full-Wave Simulation Results Up to 70GHz, Even When the Anti-Pad Radius is Larger …

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Analysis On The Effect Of Averaging Duration On Radio Frequency Dosimetry In Residential Environments, Reza Asadi, Hadi Aliakbarian, Amir Sahraei, Reza Yazdani, Donghyun Kim Jan 2023

Analysis On The Effect Of Averaging Duration On Radio Frequency Dosimetry In Residential Environments, Reza Asadi, Hadi Aliakbarian, Amir Sahraei, Reza Yazdani, Donghyun Kim

Electrical and Computer Engineering Faculty Research & Creative Works

The Potential Hazards of Electromagnetic Waves Have Raised Concerns in Related Authorities to Propose Standards and Limit Lines on the Electromagnetic Field Levels. Most of the Radio Frequency (RF) Dosimetry Measurement Procedures Referred to in Safety Compliance Standards, suggest 6-Minute Averaging, in Addition to Spatial Averaging, Which Can Be Time-Consuming for Primary Measurements. Measurement Analysis in Residential Environment in This Paper Demonstrates that Lowering the Time Interval of Measurements to About 30 Seconds, Which Suggests the Possibility of Reducing the Measurement Time with Minimal Reduction to Measurement Accuracy. for All Measurement Results Shown in This Paper, having a 30-Second Averaging …

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Continual Learning-Based Optimal Output Tracking Of Nonlinear Discrete-Time Systems With Constraints: Application To Safe Cargo Transfer, Behzad Farzanegan, S. (Sarangapani) Jagannathan Jan 2023

Continual Learning-Based Optimal Output Tracking Of Nonlinear Discrete-Time Systems With Constraints: Application To Safe Cargo Transfer, Behzad Farzanegan, S. (Sarangapani) Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This Paper Addresses a Novel Lifelong Learning (LL)-Based Optimal Output Tracking Control of Uncertain Non-Linear Affine Discrete-Time Systems (DT) with State Constraints. First, to Deal with Optimal Tracking and Reduce the Steady State Error, a Novel Augmented System, Including Tracking Error and its Integral Value and Desired Trajectory, is Proposed. to Guarantee Safety, an Asymmetric Barrier Function (BF) is Incorporated into the Utility Function to Keep the Tracking Error in a Safe Region. Then, an Adaptive Neural Network (NN) Observer is Employed to Estimate the State Vector and the Control Input Matrix of the Uncertain Nonlinear System. Next, an NN-Based …

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Analysis On Extraction Of Potential Radiated Emission Limit Line For Data Center Equipment From 10 Ghz To 40 Ghz, Zhekun Peng, Wei Zhang, Jong Hwa Kwon, Donghyun Kim Jan 2023

Analysis On Extraction Of Potential Radiated Emission Limit Line For Data Center Equipment From 10 Ghz To 40 Ghz, Zhekun Peng, Wei Zhang, Jong Hwa Kwon, Donghyun Kim

Electrical and Computer Engineering Faculty Research & Creative Works

The Radiated Emission (RE) Potential Limit Line for Router System is Analyzed from 10 GHz to 40 GHz based on CISPR TR 16-4-4 Standard. Statistical Data is Collected for the Limit Line Extraction from Measurement, Numerical Analysis, 3D Full-Wave Simulation and Literature Studies. All the Factors Considered in Limit Line Calculation Are Analyzed for Data Center Equipment Operation. the Result of Extracted Potential Limit Line Shows the Rising Limit Line between 10 GHz and 40 GHz Frequency Band for Potential Future Radiated Emission Limit Line above 40 GHz Targeted for High-Speed Equipment Radiated Emission. This Paper is Not a Standard …

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Challenges And Solutions For Automotive Ota Testing, Jiyu Wu, Yihong Qi, Penghui Shen, Wei Yu, Lie Liu, James L. Drewniak Jan 2023

Challenges And Solutions For Automotive Ota Testing, Jiyu Wu, Yihong Qi, Penghui Shen, Wei Yu, Lie Liu, James L. Drewniak

Electrical and Computer Engineering Faculty Research & Creative Works

OTA (Over-The-Air) Testing is Essential for Developing Assisted and Autonomous Driving Systems in Vehicles, as It Plays a Crucial Role in the Localization, Perception, and Intelligent Driving Capabilities of ICVs (Intelligent Connected Vehicles). Automotive Antennas, Typically Much Smaller in Size Than the Vehicle itself and Can Be Located in Various Positions, Require Spherical Near-Field Measurement for OTA Testing. While There Are Established Standards for OTA Testing Methods and Uncertainties for Mobile Devices, Base Stations, and Satellite Components, There Are Still Many Challenges in the OTA Testing of Automotive Systems. These Challenges, specifically in SISO (Single Input Single Output) and MIMO …

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On The Permittivity Of Xt-Cf20, Aaron Harmon, Wei Zhang, Victor Khilkevich Jan 2023

On The Permittivity Of Xt-Cf20, Aaron Harmon, Wei Zhang, Victor Khilkevich

Electrical and Computer Engineering Faculty Research & Creative Works

In This Work, the Permittivity of a 3D-Printed Carbon Fiber-Loaded Anisotropic Material, XT-CF20, is Examined Further. the Microstructure of XT-CF20 is First Examined Via Optical Imaging and is Shown to Be Composed of Inclusions that Are Aligned with the Print Direction of the Sample. the Permittivity Tensor for the Aligned Microstructure is Then Measured using a Capacitive Measurement Technique and Simulations Are Provided to Demonstrate the Validity of This Measurement Method. the Simulated Permittivity Values for XT-CF20 Samples with Varying Infill Structures Are Then Presented and Compared to the Measured Permittivity Values of Said Samples. an Error of Less Than …

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Roughness Losses Computation Through The Partial Elements Equivalent Circuit Method, Fabrizio Loreto, Daniele Romano, Giulio Antonini, Albert E. Ruehli, Mauro Lai Jan 2023

Roughness Losses Computation Through The Partial Elements Equivalent Circuit Method, Fabrizio Loreto, Daniele Romano, Giulio Antonini, Albert E. Ruehli, Mauro Lai

Electrical and Computer Engineering Faculty Research & Creative Works

Conductor Loss Caused by Conductor Surface Roughness is a Critical Aspect in the Design of High-Speed Electronic Systems Since It Significantly Affects their Performances. Well-Established Roughness Models Have Been Proposed over the Years but They Have Been Applied Only to the Transmission Line Models of Interconnects. Typically, the Roughness Models Are Used to Modify the Per-Unit-Length Impedance of the Transmission Line Which is Extracted by 2D Model Methods. The Aim of This Work is to overcome This Limitation Thus Making It Possible to Model Roughness Conductors in the Framework of 3D Full-Wave Methods. More Precisely, it is Presented How to …

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Analysis Of Electromagnetic Interference Problems Caused By Split Reference Plane On High-Speed Multilayer Boards, Xin Fang, Chulsoon Hwang, Michelle Liu, Rodrigo Rodriguez Navarrete Jan 2023

Analysis Of Electromagnetic Interference Problems Caused By Split Reference Plane On High-Speed Multilayer Boards, Xin Fang, Chulsoon Hwang, Michelle Liu, Rodrigo Rodriguez Navarrete

Electrical and Computer Engineering Faculty Research & Creative Works

Digital/Analog Ground Partitioning Has Been Used to Isolate Noisy Digital and Power Current from Sensitive Analog Currents in High-Speed Multiplayer Printed Circuit Boards. This Design, However, Breaks the Current Return Path for Signal Traces that Cross the Two Separated Grounds, Which Causes Undesired Effects Such as Signal Distortion and Radiated Emission. Electromagnetic Mechanism Associated with Them Needs to Be Understood to Control and Suppress These Undesired Effects. in This Paper, Equivalent Circuit Diagrams Are Presented to Explain the Current Path in a Practical Camera Device with the Separated Ground. Finally, Optimal Stitching Via Locations is Determined to Provide a Good …

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A Thermal-Aware Dc-Ir Drop Analysis For 2.5d Ic, Shengxuan Xia, Baris M. Dogruoz, Yansheng Wang, Songping Wu, Siqi Bai, Chulsoon Hwang, Zhonghua Wu Jan 2023

A Thermal-Aware Dc-Ir Drop Analysis For 2.5d Ic, Shengxuan Xia, Baris M. Dogruoz, Yansheng Wang, Songping Wu, Siqi Bai, Chulsoon Hwang, Zhonghua Wu

Electrical and Computer Engineering Faculty Research & Creative Works

With the Trend of Higher Integration, 3D/2.5D IC Solutions Such as CoWoS (Chip-On-Wafer-On-Substrate) Have Become More Popular in Recent Years. Power Integrity (PI) is Always a Critical Part of the Design Especially When the Power Consumption Requirements Are Important Specs for High-Performance Computing. DC-IR Drop is One of the Criteria within Power Integrity Considerations. However, Ordinary Electrical-Only Simulation for DC-IR Drop Will Be an Underestimation Because It Neglects the Copper Conductivity Dropping Due to the Temperature Rising. Thus, an Engineering Solution for Electrical-Thermal Co-Simulation is Important to Help to Provide Both an Accurate PI Analysis and the Proper Mitigations of …

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Reconfigurable Intelligent Surface (Ris) Design For 5g N260 Frequency Band, Reza Yazdani, Manish Kizhakkeveettil Mathew, Zhekun Peng, Donghyun Kim Jan 2023

Reconfigurable Intelligent Surface (Ris) Design For 5g N260 Frequency Band, Reza Yazdani, Manish Kizhakkeveettil Mathew, Zhekun Peng, Donghyun Kim

Electrical and Computer Engineering Faculty Research & Creative Works

In This Paper, a New Low Profile Reconfigurable Intelligent Surface Design with High Resolution Steering Reflector and Wide Frequency Band Width is Proposed at N260 Frequency Band, Used for 5G New Radio Applications. the Dynamic Reflection Phase and Tunability is Realized by Integrating of Varactor Diode with Each Unit Cell. This Study Presents Design Procedures, Reflection Simulation Verifications, and the Effects of Important Parameters on the Performance of the Proposed Novel Resonant Unit Cell. the Proposed Unit Cell Offers a Dynamic Reflection Phase Range of More Than 270° at a Wide Frequency Bandwidth. Simulation Results of Beam Steering Capability in …

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Near Field Scanning-Based Emi Radiation Root Cause Analysis In An Ssd, Xiangrui Su, Wenchang Huang, Junghee Cho, Joonki Paek, Chulsoon Hwang Jan 2023

Near Field Scanning-Based Emi Radiation Root Cause Analysis In An Ssd, Xiangrui Su, Wenchang Huang, Junghee Cho, Joonki Paek, Chulsoon Hwang

Electrical and Computer Engineering Faculty Research & Creative Works

In Modern Portable Electronic Devices, Solid-State Drives (SSDs) Are Commonly Used and Have Been Identified as One of the Dominant Electromagnetic Interference (EMI) Noise Sources that Can Cause RF Desensitization Issues. in This Paper, the EM Emission Source from an SSD Module is Identified and Analyzed using Near Field Scanning and Dipole Moment Source Reconstruction. the Identified Noise Current Path Including the Power Management Integrated Circuit and the Decoupling Capacitor is Validated with the Assistance of Full-Wave Simulation. the Measured Noise Voltage is Used as an Excitation in the Simulation and the Simulated Near Fields Showed a Good Correlation with …

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Esd Behavior Of Rf Switches And Importance Of System Efficient Esd Design, Seyed Mostafa Mousavi, Emil Tauber, Amin Pak, David Pommerenke, Daryl G. Beetner, Ketan Shringarpure, Benjamin Lee, Warwick Ka Kui Wong Jan 2023

Esd Behavior Of Rf Switches And Importance Of System Efficient Esd Design, Seyed Mostafa Mousavi, Emil Tauber, Amin Pak, David Pommerenke, Daryl G. Beetner, Ketan Shringarpure, Benjamin Lee, Warwick Ka Kui Wong

Electrical and Computer Engineering Faculty Research & Creative Works

RF Switches Are Typically Used in the RF Front-End of Portable Devices Such as Antenna or Matching Tuners to Improve the RF Link Performance. They Are Usually the First Active Devices after the Antenna and Are Vulnerable to Primary or Secondary ESD Discharges to the Antennas. This Paper Investigates the ESD Behavior of One of the High Frequency Switches Used in the RF-Front-End of Portable Devices and Expresses the Importance of the ESD Pulse that Passes through the Switch and Reaches the Next Stage in the RF Path, Possibly Damaging the Next Stage.

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