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Articles 3001 - 3030 of 33676

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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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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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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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Coupling Path Analysis For Smart Speaker Intentional Electromagnetic Interference Attacks, Tanner Fokkens, Shengxuan Xia, Aaron Harmon, Chulsoon Hwang Jan 2023

Coupling Path Analysis For Smart Speaker Intentional Electromagnetic Interference Attacks, Tanner Fokkens, Shengxuan Xia, Aaron Harmon, Chulsoon Hwang

Electrical and Computer Engineering Faculty Research & Creative Works

This Paper Shows an Improved Understanding of the Coupling Path for Intentional Electromagnetic Interference (IEMI) Attacks on Smart Speaker Devices. This Includes a Method for Finding the Ideal Attack Angle and Locating the Region Sensitive to the Coupled EMI. in Previous Works, It Was Shown to Be Possible to Send RF Commands to a Smart Speaker and Have These Commands Be Interpreted as Voice Commands by the Microphone. However, the Attack Still Had Some Limited Understanding in Terms of the Coupling Path Location and Long-Distance Attack Potential. using the Improved Understanding of the Attack, a Longer Attack Distance is Achieved …

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Extraction For Multilayer Ceramic Capacitor Vibration Induced Force, Yifan Ding, Jianmin Zhang, Mingfeng Xue, Xin Hua, Benjamin Leung, Eric A. Macintosh, Chulsoon Hwang Jan 2023

Extraction For Multilayer Ceramic Capacitor Vibration Induced Force, Yifan Ding, Jianmin Zhang, Mingfeng Xue, Xin Hua, Benjamin Leung, Eric A. Macintosh, Chulsoon Hwang

Electrical and Computer Engineering Faculty Research & Creative Works

Due to the Piezoelectric Characteristic of the MLCC Dielectric BaTiO3, the Multilayer Ceramic Capacitor (MLCC) Can Vibrate When the Supply Voltage Has AC Components. the Vibration of the MLCC Will Generate a Force on the Printed Circuit Board (PCB) It is Connected To, Causing the PCB to Vibrate as Well. the MLCC Vibration-Generated Force is Extracted using a Measurement-Simulation-Based Methodology in This Paper. the Force of an MLCC is First Extracted at the PCB Resonance Frequencies. Then, a Broadband Force Profile is Obtained by using the Interpolating Method. the Extraction Methodology Can Be Used in Different Boundary Conditions, on Different …

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Simplified Equivalent Golden Finger Port Setup For Fast And Accurate High-Speed Channel Simulation, Chaofeng Li, Kevin Cai, Mehdi Mousavi, Manish Kizhakkeveettil Mathew, Bidyut Sen, Donghyun Kim Jan 2023

Simplified Equivalent Golden Finger Port Setup For Fast And Accurate High-Speed Channel Simulation, Chaofeng Li, Kevin Cai, Mehdi Mousavi, Manish Kizhakkeveettil Mathew, Bidyut Sen, Donghyun Kim

Electrical and Computer Engineering Faculty Research & Creative Works

A Simplified Equivalent Golden Finger Port Setup is Proposed for Efficient, Accurate 3D Full-Wave Simulation for High-Speed Channels. the Bent Connector Pins, Which Mate with the Golden Finger, Are Simplified as Equivalent Cylindrical Pins to Meet the Wave Port Setting Requirements for 3D Full-Wave Simulation. the Effects of the Equivalent Cylindrical Pin Location and Diameter Are Analyzed through 3D Full-Wave Simulation. a Closed-Form Expression is Newly Proposed to Correlate the Location and Diameter of the Equivalent Cylindrical Pin with Respect to the Widely Used Bent Connector Pin. on the Basis of the Closed-Form Expression, the Bent Connector Pin Can Be …

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On Finding An Equivalent Force To Mimic The Multilayer Ceramic Capacitor Vibration, Yifan Ding, Jianmin Zhang, Mingfeng Xue, Shengyin Ding, Benjamin Leung, Eric A. Macintosh, Chulsoon Hwang Jan 2023

On Finding An Equivalent Force To Mimic The Multilayer Ceramic Capacitor Vibration, Yifan Ding, Jianmin Zhang, Mingfeng Xue, Shengyin Ding, Benjamin Leung, Eric A. Macintosh, Chulsoon Hwang

Electrical and Computer Engineering Faculty Research & Creative Works

The Multilayer Ceramic Capacitor (MLCC) Can Vibrate Due to the Piezoelectric Effect When There is AC Noise on the Power Rail. the Vibration of the Capacitor Will Generate a Force on the PCB and Thus Cause the PCB Vibration and Audible Problems May Occur. the Work in This Paper Finds an Equivalent Force with Similar Behavior to the MLCC-Generated Force. the Force is Controllable and Knowable and Thus Can Mimic the Capacitor Vibration on the PCB.

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Undesired-Resonance Analysis And Modeling Of Differential Signals Due To Narrow Ground Lines Without Stitching Vias, Chaofeng Li, Yuandong Guo, Yuanzhuo Liu, Siqi Bai, Bichen Chen, Srinivas Venkataraman, Xu Wang, Donghyun Kim Jan 2023

Undesired-Resonance Analysis And Modeling Of Differential Signals Due To Narrow Ground Lines Without Stitching Vias, Chaofeng Li, Yuandong Guo, Yuanzhuo Liu, Siqi Bai, Bichen Chen, Srinivas Venkataraman, Xu Wang, Donghyun Kim

Electrical and Computer Engineering Faculty Research & Creative Works

Undesired Resonances on High-Speed Differential Signals Are Studied in This Paper, which is Caused by the Adjacent Narrow Ground Line Without Stitching Vias. Due to Space Limitations in the High-Speed Channel Layouts of Certain Package Applications, the Ground (GND) Line is Often Narrow and Has Insufficient Stitching Vias, Potentially Causing Undesired Resonance in High-Speed Differential Signals. in This Study, These Undesired Resonances Were Investigated using 3D Simulations, revealing that They Can Be Modeled as Parallel-Coupled Half-Wavelength Resonance. the Resonance Frequency of the Parallel-Coupled Half-Wavelength Resonance Structure Can Be Predicted Well using the Formula based on the GND Line Length. Moreover, …

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Challenges And Prospects Of Vehicle Ota Spherical Near-Field Measurement Probes, Dao Lin, Zhanghua Cai, Lidong Chi, Fuhai Li, James L. Drewniak, Gang Feng, Yihong Qi Jan 2023

Challenges And Prospects Of Vehicle Ota Spherical Near-Field Measurement Probes, Dao Lin, Zhanghua Cai, Lidong Chi, Fuhai Li, James L. Drewniak, Gang Feng, Yihong Qi

Electrical and Computer Engineering Faculty Research & Creative Works

This Paper Discusses the Issue of Measuring Probe Indicators for Large-Scale Equipment, Such as Automobiles, under Conditions of Offset Configuration. a Simulation of Spherical Near-Field Measurement based on an Offset Configuration is Presented in This Paper. the Measurement Error is Defined According to the Reference Data Calculated by Spherical Wave Expansion Theory. through Comparative Analysis of the Simulation Results, the Main Reason for the Measurement Error is the Insufficient Coverage of the Probe's Beamwidth. by Adjusting the Probe's Radiation Pattern using Simulation Software, an Optimized Probe that Satisfies Near-Field Measurement Requirements under Meter-Level Offset Conditions is Obtained. Finally, based on …

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High-Speed Differential Via Optimization Using A High-Accuracy And High-Bandwidth Via Model, Chaofeng Li, Kevin Cai, Manish Kizhakkeveettil Mathew, Seyedmehdi Mousavi, Muqi Ouyang, Bidyut Sen, Donghyun Kim Jan 2023

High-Speed Differential Via Optimization Using A High-Accuracy And High-Bandwidth Via Model, Chaofeng Li, Kevin Cai, Manish Kizhakkeveettil Mathew, Seyedmehdi Mousavi, Muqi Ouyang, Bidyut Sen, Donghyun Kim

Electrical and Computer Engineering Faculty Research & Creative Works

A Physics-Based Equivalent Model of the High-Speed Differential Via Pair with High Accuracy and High Bandwidth is Proposed for the First Time. the Proposed Physics-Based Equivalent Circuit Model of the Differential Via Pair Includes the Effect of Adjacent Ground (GND) Vias. the Proposed Model is Verified using 3D Full-Wave Numerical Simulation Results. in Addition, the Change in Electrical Performance Due to Change in Anti-Pad Radius, the Via Pitch and the GND-Via-To-Differential-Via Distance is Analyzed. based on the Analysis, Electrical Performance of Differential Via Pair Can Be Accurately and Rapidly Optimized with Respect to Design Parameters, such as the Via Pitch, …

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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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Coordinated System Reliability Assessment And Production Cost Simulation In Transmission Planning Of Eastern Interconnection, Xiaokang Xu, Reza Yousefian, Jie Tang, Rui Bo, John P. Buechler, Jordon Bakke, Zheng Zhou Jan 2023

Coordinated System Reliability Assessment And Production Cost Simulation In Transmission Planning Of Eastern Interconnection, Xiaokang Xu, Reza Yousefian, Jie Tang, Rui Bo, John P. Buechler, Jordon Bakke, Zheng Zhou

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a transmission need analysis for the Eastern Interconnection (EI) using a coordinated technical approach consisting of system reliability assessment (SRA) and production cost simulation (PCS). As North American Transmission Systems are being evolved with increasing levels of renewable energy resources such as wind, solar, storage, biomass, hydro, etc., maintaining grid reliability and managing transmission congestion cost are becoming increasingly challenging. It also poses complexity and challenges in technical and economic planning of the transmission grid. The coordinated SRA and PCS were conducted to assess transmission reliability and congestion for the interconnected grids of the EI in a …

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Lifelong Learning-Based Multilayer Neural Network Control Of Nonlinear Continuous-Time Strict-Feedback Systems, Irfan Ahmad Ganie, S. (Sarangapani) Jagannathan Jan 2023

Lifelong Learning-Based Multilayer Neural Network Control Of Nonlinear Continuous-Time Strict-Feedback Systems, Irfan Ahmad Ganie, S. (Sarangapani) Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

In This Paper, We Investigate Lifelong Learning (LL)-Based Tracking Control for Partially Uncertain Strict Feedback Nonlinear Systems with State Constraints, employing a Singular Value Decomposition (SVD) of the Multilayer Neural Networks (MNNs) Activation Function based Weight Tuning Scheme. the Novel SVD-Based Approach Extends the MNN Weight Tuning to (Formula Presented.) Layers. a Unique Online LL Method, based on Tracking Error, is Integrated into the MNN Weight Update Laws to Counteract Catastrophic Forgetting. to Adeptly Address Constraints for Safety Assurances, Taking into Account the Effects Caused by Disturbances, We Utilize a Time-Varying Barrier Lyapunov Function (TBLF) that Ensures a Uniformly Ultimately …

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A Statistical Shmoo For A Decision Feedback Equalizer (Dfe), Junyong Park, Donghyun Kim Jan 2023

A Statistical Shmoo For A Decision Feedback Equalizer (Dfe), Junyong Park, Donghyun Kim

Electrical and Computer Engineering Faculty Research & Creative Works

This article proposes a statistical shmoo for a Decision Feedback Equalizer (DFE). A statistical shmoo shows a Bit-Error Rate (BER) distribution of a system depending on conditions such as a threshold voltage and sampling time. The previous statistical eye diagram can be converted to a statistical shmoo except for the case of a DFE. In the shmoo, rows and columns represent different threshold voltages and sampling times, respectively. Thus, the DFE operation also depends on each row and column. Furthermore, a DFE may have error propagations because of substantial noise. Therefore, this article proposes a statistical shmoo for an ideal …

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Improved System For Measuring Contact Induced Harmonics, Rui Mi, Leonhard Petzel, Sam Bai, Seyedmostafa Mousavi, Lijuan Qu, Yiqiang Zhang, David Pommerenke Jan 2023

Improved System For Measuring Contact Induced Harmonics, Rui Mi, Leonhard Petzel, Sam Bai, Seyedmostafa Mousavi, Lijuan Qu, Yiqiang Zhang, David Pommerenke

Electrical and Computer Engineering Faculty Research & Creative Works

Portable wireless devices cannot avoid electrical contact due to assembly and maintenance requirements. In this paper, an improved test system is proposed for systematic investigation of harmonic distortion induced by metal-to-metal contacts. The system supports harmonic distortion measurements, DC resistance measurements, fine control of contact force or contraction and automatic re-mating for statistical purposes. In this regard, forward and reflected harmonic signals are measured and ultrasonic vibration is applied to cure contacts. A novel sample holder structure is designed and fabricated as a test vehicle for the measurements.

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A Combined Model For Transient And Self-Heating Of Snapback Type Esd Protection Devices, Xin Yan, Seyed Mostafa Mousavi, Li Shen, Yang Xu, Wei Zhang, Sergej Bub, Steffen Holland, David Pommerenke, Daryl G. Beetner Jan 2023

A Combined Model For Transient And Self-Heating Of Snapback Type Esd Protection Devices, Xin Yan, Seyed Mostafa Mousavi, Li Shen, Yang Xu, Wei Zhang, Sergej Bub, Steffen Holland, David Pommerenke, Daryl G. Beetner

Electrical and Computer Engineering Faculty Research & Creative Works

A simplified physics-based model for predicting the transient response and self-heating behavior of silicon-controlled rectifier (SCR) snapback-type transient voltage suppressors (TVS) is presented. Comparisons of the predicted quasi-static behavior and transient waveforms with measurements suggest that the proposed model accurately captures the most important characteristics of the device. Its simplified nature means it can be easily tuned using only data obtained from package-level measurements.

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Simulating Multi-Tapered Coaxial Baluns With An Isogeometric Surface Integral Equation Method, Maximilian Nolte, Riccardo Torchio, Sebastian Schops, Albert E. Ruehli Jan 2023

Simulating Multi-Tapered Coaxial Baluns With An Isogeometric Surface Integral Equation Method, Maximilian Nolte, Riccardo Torchio, Sebastian Schops, Albert E. Ruehli

Electrical and Computer Engineering Faculty Research & Creative Works

In this contribution we present the numerical analysis of multi-tapered coaxial baluns simulated with an Iso geometric surface integral equation method and demonstrate thereby an application of the work, which completes the studies on electrostatics conducted in [6] with the full-wave case.

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Deep-Learning-Based Accurate Beamforming Prediction Using Lidar-Assisted Network, Omar Rinchi, Ahmad Alsharoa, Ibrahem Shatnawi Jan 2023

Deep-Learning-Based Accurate Beamforming Prediction Using Lidar-Assisted Network, Omar Rinchi, Ahmad Alsharoa, Ibrahem Shatnawi

Electrical and Computer Engineering Faculty Research & Creative Works

Beamforming optimization can enhance the next-generation wireless networks. However, finding the optimal beamforming in real-time is hard due to the need for large beam training overhead. The problem can be more challenging in dynamic environments with small coherence channel time. In this paper, we propose an accurate beam prediction solution using light detection and ranging (LiDAR)-assisted radio frequency (RF) system. More specifically, we propose a deep-learning model based on long-sort term memory (LSTM) to predict future beam indices from a set of pre-defined beam steering codebook. In addition to solving the beamforming overhead problem, the proposed deep learning approach is …

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Accelerated Statistical Eye Diagram Estimation Method For Efficient Signal Integrity Analysis, Junyong Park, Youngwoo Kim, Donghyun Kim Jan 2023

Accelerated Statistical Eye Diagram Estimation Method For Efficient Signal Integrity Analysis, Junyong Park, Youngwoo Kim, Donghyun Kim

Electrical and Computer Engineering Faculty Research & Creative Works

This article proposes an accelerated statistical eye diagram estimation method for efficient signal integrity (SI) analysis. An eye diagram is a critical metric in the SI analysis, however obtaining an eye diagram is time-consuming in simulation. The required time might be a few weeks depending on the complexity. Because the eye diagram is obtained by superposition of the received waveforms. Statistical eye diagram estimation methods were proposed to make the eye diagram acquisition efficient, however, it still has a limited improvement due to a large number of convolution operations. To address this limitation, the proposed method includes two approaches: (i) …

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Towards Robust Consensus For Intelligent Decision-Making In Iot Blockchain Networks, Charles Rawlins, S. (Sarangapani) Jagannathan Jan 2023

Towards Robust Consensus For Intelligent Decision-Making In Iot Blockchain Networks, Charles Rawlins, S. (Sarangapani) Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

Distributed consensus is the core aspect of blockchain protocol security design. Recent protocols like IOTA have improved concurrency and scalability over Proof-of-work (PoW) with Bitcoin but have core design decisions that are inefficient for limited devices and do not take advantage of previous network experience to reduce calculations. This work proposes the first blockchain consensus protocol based on active machine-learning decisions, called Proof-of-history (PoH). PoH is setup as a distributed reinforcement-learning task for monitoring classification and training of blockchain transactions with an inner deep classifier. Early theoretical analysis and simulations show that PoH is robust to uncoordinated byzantine attacks through …

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Multiple Uav-Lidar Placement Optimization Under Road Priority And Resolution Requirements, Zachary Osterwisch, Omar Rinchi, Ahmad Alsharoa, Hakim Ghazzai, Yehia Massoud Jan 2023

Multiple Uav-Lidar Placement Optimization Under Road Priority And Resolution Requirements, Zachary Osterwisch, Omar Rinchi, Ahmad Alsharoa, Hakim Ghazzai, Yehia Massoud

Electrical and Computer Engineering Faculty Research & Creative Works

An unmanned aerial vehicle (UAV) integrated with the remote sensing technology of light detection and ranging (LiDAR) can provide accurate and real-time road traffic information. In this paper, we propose to equip UAVs with LiDAR sensors for Intelligent Transportation Systems (ITS) applications. The goal is to find the optimal 3D placement of multiple UAV-LiDAR (ULiDs) for a given road segmentation. We formulate an optimization problem to find the optimal placement such that the road coverage efficiency is maximized. The optimization problem is constrained by notable ULiD specifications such as field-of-view (FoV), point-cloud density, geographic information system (GIS) location, and road …

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Implementing The Fast Full-Wave Electromagnetic Forward Solver Using The Deep Convolutional Encoder-Decoder Architecture, He Ming Yao, Lijun Jiang, Michael Ng Jan 2023

Implementing The Fast Full-Wave Electromagnetic Forward Solver Using The Deep Convolutional Encoder-Decoder Architecture, He Ming Yao, Lijun Jiang, Michael Ng

Electrical and Computer Engineering Faculty Research & Creative Works

In this communication, a novel deep learning (DL)-based solver is proposed for the electromagnetic forward (EMF) process. It is based on the complex-valued deep convolutional neural networks (DConvNets) comprising an encoder network and a corresponding decoder network with pixel-wise regression layer. The encoder network takes the incident EM wave and the contrast (permittivity) distribution of the object as the input. It channels the processed data into the corresponding decoder network to predict the total EM field due to the scatter of the input incident EM wave. The training of the proposed DConvNets is done using the simple synthetic dataset. Due …

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Usdot Tier-1 University Transportation Center For Advancing Cybersecurity Research And Education, Yunpeng Jack Zhang, Kailai Wang, Lingguang Song, Amaury Lendasse, Houbing Herbert Song, Zhu Han, Rakesh Verma, Arlei Silva, Carlos Rubio-Medrano, Zhixia Richard Li, Guohui Zhang Jan 2023

Usdot Tier-1 University Transportation Center For Advancing Cybersecurity Research And Education, Yunpeng Jack Zhang, Kailai Wang, Lingguang Song, Amaury Lendasse, Houbing Herbert Song, Zhu Han, Rakesh Verma, Arlei Silva, Carlos Rubio-Medrano, Zhixia Richard Li, Guohui Zhang

Engineering Management and Systems Engineering Faculty Research & Creative Works

The Transportation Cybersecurity Center for Advanced Research and Education (Cyber-Care) is a Us Department of Transportation (Usdot) Tier-1 University Transportation Center (Utc) Funded in 2023. Cyber-Care Primarily Focuses on the Usdot Statutory Research Priority Area of 'reducing Transportation Cybersecurity Risks.' Cyber-Care Aims to Establish a Fundamental Knowledge Basis and Explore Advanced Theory to Mitigate the Impacts of Large-Scale Cyberattacks on Transportation Infrastructure and Connected and Automated Vehicle (Cav) Systems. the Research Projects at Cyber-Care Will Develop Conceptual Frameworks, Construct Comprehensive Datasets, Explore Novel Analytical Approaches, Support the Implementation of Public Policies and Infrastructure Investments, and Build a High-Quality Industry Workforce …

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A Computational Mapping Of Online News Deserts On African News Websites, Dani Madrid-Morales, Joan Ramon Rodríguez‐Amat, Peggy Lindner Jan 2023

A Computational Mapping Of Online News Deserts On African News Websites, Dani Madrid-Morales, Joan Ramon Rodríguez‐Amat, Peggy Lindner

Engineering Management and Systems Engineering Faculty Research & Creative Works

To date, the study of news deserts, geographic spaces lacking local news and information, has largely focused on countries in the Global North, particularly the United States, and has predominantly been interested in the causes and consequences of the disappearance of local media outlets (e.g., newspapers and TV stations) to the social fabric of a community. In this article, we extend the concept of "news deserts" by drawing on literature on the geography of news in Africa, where information voids have long been documented but have not been studied within the conceptual framework of news deserts. Using computational tools, we …

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Show-Me Resilience: Assessing And Reconciling Rural Leaders’ Perceptions Of Climate Resilience In Missouri, Zachary J. Miller, Caleb O'Brien, Casey I. Canfield, Lauren Sullivan Jan 2023

Show-Me Resilience: Assessing And Reconciling Rural Leaders’ Perceptions Of Climate Resilience In Missouri, Zachary J. Miller, Caleb O'Brien, Casey I. Canfield, Lauren Sullivan

Engineering Management and Systems Engineering Faculty Research & Creative Works

Rural areas of the United States play a vital role in coping with, adapting to and mitigating climate change, yet they often lag urban areas in climate planning and action. Rural leaders—e.g., policymakers, state/federal agency professionals, non-profit organization leadership, and scholars – are pivotal for driving the programs and policies that support resilient practices, but our understanding of their perspectives on climate resilience writ large is limited. We conducted semi-structured interviews with 23 rural leaders in Missouri to elucidate their conceptualizations of climate resilience and identify catalysts and constraints for climate adaptation planning and action across rural landscapes. We investigated …

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Deep Reinforcement Learning For Approximate Policy Iteration: Convergence Analysis And A Post-Earthquake Disaster Response Case Study, Abhijit Gosavi, L. (Lesley) H. Sneed, L. A. Spearing Jan 2023

Deep Reinforcement Learning For Approximate Policy Iteration: Convergence Analysis And A Post-Earthquake Disaster Response Case Study, Abhijit Gosavi, L. (Lesley) H. Sneed, L. A. Spearing

Engineering Management and Systems Engineering Faculty Research & Creative Works

Approximate Policy Iteration (API) is a Class of Reinforcement Learning (RL) Algorithms that Seek to Solve the Long-Run Discounted Reward Markov Decision Process (MDP), Via the Policy Iteration Paradigm, Without Learning the Transition Model in the Underlying Bellman Equation. Unfortunately, These Algorithms Suffer from a Defect Known as Chattering in Which the Solution (Policy) Delivered in Each Iteration of the Algorithm Oscillates between Improved and Worsened Policies, Leading to Sub-Optimal Behavior. Two Causes for This that Have Been Traced to the Crucial Policy Improvement Step Are: (I) the Inaccuracies in the Policy Improvement Function and (Ii) the Exploration/exploitation Tradeoff Integral …

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Modeling Of A Microstrip Line Referenced To A Meshed Return Plane, Zeyi Sun, Jian Liu, Xiaoyan Xiong, Yuan Liu, Victor Khilkevich, Donghyun Kim, Daryl G. Beetner Jan 2023

Modeling Of A Microstrip Line Referenced To A Meshed Return Plane, Zeyi Sun, Jian Liu, Xiaoyan Xiong, Yuan Liu, Victor Khilkevich, Donghyun Kim, Daryl G. Beetner

Engineering Management and Systems Engineering Faculty Research & Creative Works

Transmission Lines Referenced to Meshed Return Planes Are Widely Used Because of the Physical Flexibility Imparted by the Meshed Plane. Poor Accounting for the Meshed Ground, However, Can Lead to Severe Signal Integrity and Radio Frequency Interference Issues. Full-Wave Simulation Can Characterize the Electrical Performance at an Early Design Stage, But It is Both Time and Computational Resource Consuming. to Make the Simulation More Efficient, a Method is Proposed in This Study to Model Transmission Lines with a Meshed Reference Ground using 2D Analysis. the 2D Analysis is Performed at Several Locations Along the Length of the Trace above the …

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Approximation Of Optimal Control Surfaces For The Bass Model With Stochastic Dynamics, Gabriel Nicolosi, Christopher Griffin Jan 2023

Approximation Of Optimal Control Surfaces For The Bass Model With Stochastic Dynamics, Gabriel Nicolosi, Christopher Griffin

Engineering Management and Systems Engineering Faculty Research & Creative Works

The Bass diffusion equation is a well-known and established modeling approach for describing new product adoption in a competitive market. This model also describes diffusion phenomena in various contexts: infectious disease spread modeling and estimation, rumor spread on social networks, prediction of renewable energy technology markets, among others. Most of these models, however, consider a deterministic trajectory of the associated state variable (e.g., market-share). In reality, the diffusion process is subject to noise, and a stochastic component must be added to the state dynamics. The stochastic Bass model has also been studied in many areas, such as energy markets and …

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A Resilience-Oriented Multi-Stage Adaptive Distribution System Planning Considering Multiple Extreme Weather Events, Siyuan Wang, Rui Bo Jan 2023

A Resilience-Oriented Multi-Stage Adaptive Distribution System Planning Considering Multiple Extreme Weather Events, Siyuan Wang, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

Climate Change May Increase the Risk of an Area Being Hit by Multiple Extreme Weather Events, Which Brings Significant Challenges for Distribution System Planners in an Increasing Renewable Penetration Era. There is an Urgent Need for Planning Approaches to Be More Flexible and Allow for Adaptive Adjustments in the Future to Hedge Against High Uncertainties in Extreme Weather Event Scenarios. in This Work, We Propose a Resilience-Oriented Distribution System Planning Approach that Considers Multiple Extreme Weather Events. a Multi-Stage Hybrid-Stochastic-And-Robust Formulation is Developed to Model Decisions Not Only for Initial Investments, But Also for Adaptive Investments and Emergent Operations in …

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Detection Of Surface Cracks In Metals Using Microwave And Millimeter-Wave Nondestructive Testing Techniques-A Review, Mohamed A. Abou-Khousa, Mohammed Saif Ur Rahman, Kristen M. Donnell, Mohammad Tayeb Al (Tayeb) (Al) Qaseer Jan 2023

Detection Of Surface Cracks In Metals Using Microwave And Millimeter-Wave Nondestructive Testing Techniques-A Review, Mohamed A. Abou-Khousa, Mohammed Saif Ur Rahman, Kristen M. Donnell, Mohammad Tayeb Al (Tayeb) (Al) Qaseer

Electrical and Computer Engineering Faculty Research & Creative Works

Integrity Assessment of Metallic Structures Requires Inspection Tools Capable of Detecting and Evaluating Cracks Reliably. to This End, Many Microwave and Millimeter-Wave Nondestructive Testing and Evaluation (NDT&E) Methods Have Been Developed and Applied Successfully in the Past. Detection of Fatigue Cracks with Widths Less Than 5 Μ M using Noncontact Microwave-Based Inspection Methods Was Demonstrated in the 1970s. Since their Introduction, These Methods Have Evolved Considerably Toward Enhancing the Detection Sensitivity and Resolution. Undertaking Key Application Challenges Has Attracted Considerable Attention in the Past Three Decades and Led to the Development of the Near-Field Techniques for Crack Detection. to Address …

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