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2023

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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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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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Lifelong Learning Control Of Nonlinear Systems With Constraints Using Multilayer Neural Networks With Application To Mobile Robot Tracking, Irfan Ganie, S. (Sarangapani) Jagannathan Jan 2023

Lifelong Learning Control Of Nonlinear Systems With Constraints Using Multilayer Neural Networks With Application To Mobile Robot Tracking, Irfan Ganie, S. (Sarangapani) Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This Paper Presents a Novel Lifelong Multilayer Neural Network (MNN) Tracking Approach for an Uncertain Nonlinear Continuous-Time Strict Feedback System that is Subject to Time-Varying State Constraints. the Proposed Method Uses a Time-Varying Barrier Function to Accommodate the Constraints Leading to the Development of an Efficient Control Scheme. the Unknown Dynamics Are Approximated using a MNN, with Weights Tuned using a Singular Value Decomposition (SVD)-Based Technique. an Online Lifelong Learning (LL) based Elastic Weight Consolidation (EWC) Scheme is Also Incorporated to Alleviate the Issue of Catastrophic Forgetting. the Stability of the overall Closed-Loop System is Analyzed using Lyapunov Analysis. the …

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Characterization And Modeling Of Sparkless Discharge To A Touch Screen Display, Jianchi Zhou, Cheung Wei Lam, Zhekun Peng, Daryl G. Beetner, David Pommerenke Jan 2023

Characterization And Modeling Of Sparkless Discharge To A Touch Screen Display, Jianchi Zhou, Cheung Wei Lam, Zhekun Peng, Daryl G. Beetner, David Pommerenke

Electrical and Computer Engineering Faculty Research & Creative Works

Although Corona Discharge to a Touchscreen Display is Not Associated with the Spark, It Could Cause Soft and Hard Failures Due to Electromagnetic Coupling to Sensitive Electronics Beneath the Glass. Experimental Data Were Obtained to Characterize These Sparkless Discharges and an Equivalent Circuit Model Was Constructed to Predict the Resulting Coupling to Touchscreen Electronics. Measurements and Simulation Indicate that a Thinner Glass and a Higher Touchscreen Indium-Tin-Oxide (ITO) Sense Trace Impedance Both Lead to Higher ESD Risk by Delivering Higher Energy into the Sensing IC. a CST Co-Simulation Model is Proposed and is Shown to Model the Displacement Current Accurately. …

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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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Decomposition Measurement For Antenna Gain And Radio Sensitivity Of Wireless Receiving System, Chaoqiang Zang, Lidong Chi, Fuhai Li, James L. Drewniak, Gang Feng, Yihong Qi Jan 2023

Decomposition Measurement For Antenna Gain And Radio Sensitivity Of Wireless Receiving System, Chaoqiang Zang, Lidong Chi, Fuhai Li, James L. Drewniak, Gang Feng, Yihong Qi

Electrical and Computer Engineering Faculty Research & Creative Works

A General Procedure for Decomposition Measurements for Receiver Antenna Gain and Radio Sensitivity based on Received Signal Strength Indicator (RSSI) Reporting is Proposed in This Paper. This Procedure Standardizes the Measurement Steps for Eliminating Nonlinear Error in RSSI Reporting. after Path Loss Calibration and RSSI Uncertainty Calibration, the Real Performance of the Antenna and the Radio Working in the Actual Environment of Wireless Receiving System Can Be Measured. the Antenna Gain is Obtained from the Difference between RSSI Reporting and Transmit Power, and the Radio Sensitivity is Obtained from the Transmit Power. This Method Helps to Improve the Development Efficiency …

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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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Augmented Genetic Algorithm V2 With Reinforcement Learning For Pdn Decap Optimization, Haran Manoharan, Jack Juang, Hanfeng Wang, Jingnan Pan, Kelvin Qiu, Xu Gao, Chulsoon Hwang Jan 2023

Augmented Genetic Algorithm V2 With Reinforcement Learning For Pdn Decap Optimization, Haran Manoharan, Jack Juang, Hanfeng Wang, Jingnan Pan, Kelvin Qiu, Xu Gao, Chulsoon Hwang

Electrical and Computer Engineering Faculty Research & Creative Works

Genetic Algorithms (GAs) Use Many Hyperparameters, and Tuning These Parameters Can Determine the Optimization Performance. a GA with an Augmented Initial Population Was Proposed for Decap Optimization but It Had Convergence Issues by Getting Stuck in the Local Minimum. This Work Uses a Reinforcement Learning (RL) Approach to Adaptively Tune the Hyperparameters of GA during its Operation. with This Approach, the Agent Tries to Change the Parameters So that the GA Does Not Get Stuck in the Local Minimum. the Proposed Method Combining the RL Agent and Augmented GA Showed Better Performance in Terms of Solution Quality and Time Cost. …

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Oxidation Layer Formation On Aluminum Substrates With Surface Defects Using Molecular Dynamics Simulation, Emmanuel Olugbade, Hiep Pham, Yuchu He, Haicheng Zhou, Chulsoon Hwang, Jonghyun Park Jan 2023

Oxidation Layer Formation On Aluminum Substrates With Surface Defects Using Molecular Dynamics Simulation, Emmanuel Olugbade, Hiep Pham, Yuchu He, Haicheng Zhou, Chulsoon Hwang, Jonghyun Park

Electrical and Computer Engineering Faculty Research & Creative Works

Aluminum Oxide Layer Affects the Integrity of Electrical Contact and Can Contribute Adversely to Passive Intermodulation (PIM) Behavior in Radio Frequency (RF) Devices, necessitating a Need for Understanding its Formation Mechanism and Realistic Estimation of its Thickness. using ReaxFF Molecular Dynamics Simulation Technique, This Study Investigated the Impact of Surface Defects on Aluminum Oxide Layer Formation. Results Reveal that Crystallographic Orientation Did Not Affect the Kinetics of Oxidation Process of Aluminum. However, the Reaction Kinetics Increased Significantly with Surface Inhomogeneities Such as Cracks, Scratches, and Grain Boundaries. a Non-Uniform Oxide Layer with Thickness Variation in the Range of 72-77% Was …

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Passive Testing Of Electrically Small Antennas In Electronic Systems, Bin Xiao, Lidong Chi, Fuhai Li, James L. Drewniak, Gang Feng, Yihong Qi Jan 2023

Passive Testing Of Electrically Small Antennas In Electronic Systems, Bin Xiao, Lidong Chi, Fuhai Li, James L. Drewniak, Gang Feng, Yihong Qi

Electrical and Computer Engineering Faculty Research & Creative Works

In This Paper, a Measurement Scheme, Which Eliminates the Interference of the Common Mode Current, for Electrically Small Antennas is Proposed. Firstly, the Causes and Effects of Common Mode Currents Appearing in Passive Testing Are Analyzed. Then, the Influence of Different Outlet Points of Coaxial Cable on the Passive Testing of Antenna is Studied Experimentally and Numerically. According to the Distribution of the Common Mode Currents on the Ground Plane When the Coaxial Cable Feeds the Antenna, the Minimum Current Point is Selected as the Outlet Point of the Coaxial Cable to Reduce the Influence of Common Mode Current. Additionally, …

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Power Supply Induced Jitter (Psij) Modeling, Analysis, And Optimization Of High Bandwidth Memory (Hbm) I/O Interface, Hyunwook Park, Taein Shin, Seongguk Kim, Keeyoung Son, Keunwoo Kim, Boogyo Sim, Hyungmin Kang, Seonguk Choi, Jiwon Yoon, Hyunwoo Kim, Chulsoon Hwang, Joungho Kim Jan 2023

Power Supply Induced Jitter (Psij) Modeling, Analysis, And Optimization Of High Bandwidth Memory (Hbm) I/O Interface, Hyunwook Park, Taein Shin, Seongguk Kim, Keeyoung Son, Keunwoo Kim, Boogyo Sim, Hyungmin Kang, Seonguk Choi, Jiwon Yoon, Hyunwoo Kim, Chulsoon Hwang, Joungho Kim

Electrical and Computer Engineering Faculty Research & Creative Works

Power Supply Induced Jitter (PSIJ) in High Bandwidth Memory (HBM) I/O Interface is Modeled, Analyzed, and Optimized for Different HBM Generations. Precise Models for VDDQ Power Distribution Networks (PDNs), Simultaneous Switching Current (SSC), and Jitter Sensitivities of the Clock and I/O Buffers Are Implemented for PSIJ Estimation. Compared to the SPICE, the Average Error Rate of the Estimated PSIJ is 4.26 %. the Critical Frequency Bands in the Jitter Spectrum Where Large Jitters Occur Are Derived by Comparing the Relative Impact of the Modeled Interface Factors in the Frequency Domain. for the Optimization, On-Chip and On-Interposer Decoupling Capacitor (Decap) Placement …

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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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Virtual Inertia Scheduling (Vis) For Real-Time Economic Dispatch Of Ibrs-Penetrated Power Systems, Buxin She, Fangxing Li, Hantao Cui, Jinning Wang, Qiwei Zhang, Rui Bo Jan 2023

Virtual Inertia Scheduling (Vis) For Real-Time Economic Dispatch Of Ibrs-Penetrated Power Systems, Buxin She, Fangxing Li, Hantao Cui, Jinning Wang, Qiwei Zhang, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

A New Concept Called Virtual Inertia Scheduling (VIS) is Proposed to Efficiently Handle the Increasing Penetration of Inverter-Based Resources (IBRs) in Power Systems. VIS is an Inertia Management Framework that Targets Security-Constrained and Economy-Oriented Inertia Scheduling and Generation Dispatch with a Large Scale of Renewable Generations. Specifically, It Determines the Appropriate Power Setting Points and Reserved Capacities of Synchronous Generators and IBRs, as Well as the Control Modes and Control Parameters of IBRs to Provide Secure and Cost-Effective Inertia Support. First, a Uniform System Model is Employed to Quantify the Frequency Dynamics of the IBRs-Penetrated Power Systems after Disturbances. Leveraging …

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Equivalent Force Extraction Methodology For Electrical Component Induced Pcb Vibration, Yifan Ding, Jianmin Zhang, Ming Feng Xue, Xin Hua, Benjamin Leung, Eric A. Macintosh, Chulsoon Hwang Jan 2023

Equivalent Force Extraction Methodology For Electrical Component Induced Pcb Vibration, Yifan Ding, Jianmin Zhang, Ming Feng Xue, Xin Hua, Benjamin Leung, Eric A. Macintosh, Chulsoon Hwang

Electrical and Computer Engineering Faculty Research & Creative Works

On-board electrical components can cause printed circuit board (PCB) vibration, thus generating audio noise if the electrical noise is in the audible frequency range. The electrical component-induced vibration can be equated to an external force applied to the PCB. This article presents a novel methodology to extract the equivalent force of electrical components on a PCB to study board vibration and potential acoustic noise problems. The method is based on a combination of measurement and simulation, wherein PCB vibration is used as the medium in the extraction process. The methodology is validated by the correlation of PCB vibration pattern, frequency, …

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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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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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Guest Editorial Special Section On The 2022 Ieee International Instrumentation And Measurement Technology Conference, Sergio Rapuano, Kristen M. Donnell, Pawel Niewczas Jan 2023

Guest Editorial Special Section On The 2022 Ieee International Instrumentation And Measurement Technology Conference, Sergio Rapuano, Kristen M. Donnell, Pawel Niewczas

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

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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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Cascaded Sapphire Fiber Bragg Gratings Inscribed By Femtosecond Laser For Molten Steel Studies, Dinesh Reddy Alla, Deva Prasad Neelakandan, Farhan Mumtaz, Rex E. Gerald, Laura Bartlett, Ronald J. O'Malley, Jeffrey D. Smith, Jie Huang Jan 2023

Cascaded Sapphire Fiber Bragg Gratings Inscribed By Femtosecond Laser For Molten Steel Studies, Dinesh Reddy Alla, Deva Prasad Neelakandan, Farhan Mumtaz, Rex E. Gerald, Laura Bartlett, Ronald J. O'Malley, Jeffrey D. Smith, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

This research reports a distributed fiber optic high-temperature sensing system tailored for applications in the steel industry and various other sectors. Recent advancements in optical sensor technology have led to the exploration of sapphire crystal fibers as a solution for sensing in harsh environments. Utilizing a femtosecond (fs) laser, cascaded fiber Bragg gratings (FBGs) were meticulously fabricated within a multimode sapphire optical fiber. These FBGs endowed the system with distributed sensing capabilities and underwent rigorous testing under extreme temperatures, reaching up to 1,800 °C. The study delves into the investigation of the FBG reflection spectrum, facilitated by the development of …

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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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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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Improved Intelligent Ledger Construction For Realistic Iot Blockchain Networks, Charles Rawlins, S. (Sarangapani) Jagannathan Jan 2023

Improved Intelligent Ledger Construction For Realistic Iot Blockchain Networks, Charles Rawlins, S. (Sarangapani) Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

Scalability is essential for next generation blockchain technology to integrate with large mobile networks like Internet of Things (IoT). The IOTA distributed ledger protocol has combined transaction generation and verification to address this, but at the expense of increased reliance on connectivity to resolve conflicts with a novel ledger data structure. Intelligent Ledger Construction (ILC) was proposed as an auditable lightweight reinforcement-learning scheme to address this constraint with proposal of local conflict resolution with machine-learning classification. This effort presents an improved reliability reward model to enhance training for ILC and further reduce adversarial gaming and resource usage. Testing this revision …

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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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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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Solving Electromagnetic Inverse Scattering Problems In Inhomogeneous Media By Deep Convolutional Encoder-Decoder Structure, Huan Huan Zhang, He Ming Yao, Lijun Jiang, Michael Ng Jan 2023

Solving Electromagnetic Inverse Scattering Problems In Inhomogeneous Media By Deep Convolutional Encoder-Decoder Structure, Huan Huan Zhang, He Ming Yao, Lijun Jiang, Michael Ng

Electrical and Computer Engineering Faculty Research & Creative Works

This communication proposes a novel deep learning (DL) approach to solve electromagnetic inverse scattering (EMIS) problems in inhomogeneous media. The conventional approaches for solving inhomogeneous EMIS problems generally have to consider inhomogeneous Green’s functions or conduct approximation operations to media, which inevitably introduces various challenges, including complex mathematical derivation, high computation cost, unavoidable nonlinearity, and even strong ill-posedness. To avoid these challenges, we propose a DL approach based on the complex-valued deep convolutional neural networks (DConvNets), which comprise the deep convolutional encoder–decoder (DCED) structure. Its training data are collected based on the simple synthetic dataset. While the scattered fields received …

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