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Articles 3181 - 3210 of 33019
Full-Text Articles in Entire DC Network
Modeling And Mitigation Of Radio Frequency Interference For Wireless Devices, Chulsoon Hwang, Jun Fan
Modeling And Mitigation Of Radio Frequency Interference For Wireless Devices, Chulsoon Hwang, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
This article reviews the electromagnetic framework used to model radio frequency interference (RFI) and the resulting development of mitigation methods. With the rise of IoT devices, wireless devices in which RF antennas are integrated with high-performance digital systems in small form factors suffer from electromagnetic interference, known as RF interference or RF desensitization. The simple yet rigorous framework can be used for a systematic RFI-aware design, saving time and effort for trial-and-error troubleshooting.
Machine Learning Based Pcb/Package Stack-Up Optimization For Signal Integrity, Wenchang Huang, Jiahuan Huang, Minseok Kim, Bumhee Bae, Chulsoon Hwang, Subin Kim
Machine Learning Based Pcb/Package Stack-Up Optimization For Signal Integrity, Wenchang Huang, Jiahuan Huang, Minseok Kim, Bumhee Bae, Chulsoon Hwang, Subin Kim
Electrical and Computer Engineering Faculty Research & Creative Works
PCB/package stack-up design optimization is time-consuming and requiring a great deal of experience. Although some iterative optimization algorithms are applied to implement automatic stack-up design, evaluating the results of each iteration is still time-intensive. This paper proposes a combined Bayesian optimization-artificial neural network (BO-ANN) algorithm, utilizing a trained ANN-based surrogate model to replace a 2D cross-section analysis tool for fast PCB/package stack-up design optimization. With the acceleration of ANN, the proposed BO-ANN algorithm can finish 100 iterations in 40 seconds while achieving the target characteristic impedance. To better generalize the BO-ANN algorithm, a strategy of effective dielectric calculation is applied …
Development Of A Matlab-Based Structural Analysis Toolbox For Sensor Placement In A Multi-Domain Physical System, Arnold A. Fernandes, Kartikeya J.P. Veeramraju, Jonathan W. Kimball
Development Of A Matlab-Based Structural Analysis Toolbox For Sensor Placement In A Multi-Domain Physical System, Arnold A. Fernandes, Kartikeya J.P. Veeramraju, Jonathan W. Kimball
Electrical and Computer Engineering Faculty Research & Creative Works
This paper discusses a Bond Graph (BG) Structural Analysis Toolbox developed in MATLAB® (MATSAT) that performs causal analysis on the BG and assists the user in the sensor selection process for a multi-domain physical system. MATSAT contains modules for performing the Sequential Causality Assignment Procedure (SCAP) and Causal Path Search (CaPS). The modules can be combined to check for structural properties such as structural observability (SO) for any sensor set. The working of MATSAT is shown for standard systems. Verification of SCAP, CaPS, and necessary and sufficient SO conditions is shown.
Virtual Synchronous Generator Control Using Twin Delayed Deep Deterministic Policy Gradient Method, Oroghene Oboreh-Snapps, Buxin She, Shah Fahad, Haotian Chen, Jonathan W. Kimball, Fangxing Li, Hantao Cui, Rui Bo
Virtual Synchronous Generator Control Using Twin Delayed Deep Deterministic Policy Gradient Method, Oroghene Oboreh-Snapps, Buxin She, Shah Fahad, Haotian Chen, Jonathan W. Kimball, Fangxing Li, Hantao Cui, Rui Bo
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents a data-driven approach that adaptively tunes the parameters of a virtual synchronous generator to achieve optimal frequency response against disturbances. In the proposed approach, the control variables, namely, the virtual moment of inertia and damping factor, are transformed into actions of a reinforcement learning agent. Different from the state-of-the-art methods, the proposed study introduces the settling time parameter as one of the observations in addition to the frequency and rate of change of frequency (RoCoF). In the reward function, preset indices are considered to simultaneously ensure bounded frequency deviation, low RoCoF, fast response, and quick settling time. …
A Physics-Based Model For Snapback-Type Esd Protection Devices, Xin Yan, Seyed Mostafa Mousavi, Li Shen, Yang Xu, Wei Zhang, Sergej Bub, Steffen Holland, Daryl G. Beetner
A Physics-Based Model For Snapback-Type Esd Protection Devices, Xin Yan, Seyed Mostafa Mousavi, Li Shen, Yang Xu, Wei Zhang, Sergej Bub, Steffen Holland, Daryl G. Beetner
Electrical and Computer Engineering Faculty Research & Creative Works
A simplified physical-based model for deep-snapback transient voltage suppressors (TVS) is developed in this article. While based on physics, the number of parameters and components is minimized, so the model can be tuned easily from available measurements of the packaged TVS. SPICE convergence issues seen in previous snapback device models are eliminated by adding nonlinear damping components to the model. No convergence issues were seen among any of the simulations performed for this study, which includes transmission-line pulse tests with multiple levels and rise times. The proposed model was used to represent two different TVS devices and was validated in …
The Partial Elements Equivalent Circuit Method: The State Of The Art, Giulio Antonini, Albert E. Ruehli, Daniele Romano, Fabrizio Loreto
The Partial Elements Equivalent Circuit Method: The State Of The Art, Giulio Antonini, Albert E. Ruehli, Daniele Romano, Fabrizio Loreto
Electrical and Computer Engineering Faculty Research & Creative Works
This year marks about half a century since the birth of the technique known as the partial element equivalent circuit modeling approach. This method was initially conceived to model the behavior of interconnect-type problems for computer-integrated circuits. An important industrial requirement was the computation of general inductances in integrated circuits and packages. Since then, the advances in methods and applications made it suitable for modeling a large class of electromagnetic problems, especially in the electromagnetic compatibility (EMC)/signal and power integrity (SI/PI) areas. The purpose of this article is to present an overview of all aspects of the method, from its …
Worst-Case Electromagnetic Coupling To An Accelerometer Using An Equivalent Circuit And Experimental Co-Characterization Methodology, Mohamed Z.M. Hamdalla, Thomas Ory, Aaron Harmon, Daryl G. Beetner, Victor Khilkevich, John Mcgeehan, John Willits, Anthony N. Caruso, Ahmed M. Hassan
Worst-Case Electromagnetic Coupling To An Accelerometer Using An Equivalent Circuit And Experimental Co-Characterization Methodology, Mohamed Z.M. Hamdalla, Thomas Ory, Aaron Harmon, Daryl G. Beetner, Victor Khilkevich, John Mcgeehan, John Willits, Anthony N. Caruso, Ahmed M. Hassan
Electrical and Computer Engineering Faculty Research & Creative Works
Worst-Case Coupling Estimation to a Complex Printed Circuit Board (PCB) System Typically Requires an Expensive Computational And/or Experimental Approach. Therefore, there is a Strong Need for a Deterministic Approach that Can Accurately Predict the Worst-Case Coupling with the Least Computational and Experimental Cost. This Work Uses a Hybrid Equivalent Circuit Approach Coupled with Experimental Measurements to Simplify Predicting the Worst-Case Coupling to an Accelerometer Board. the Predictions of the Proposed Methodology Are Validated using Experimental Measurements with Excellent Agreement.
Embedded Aperture-Based Fss Sensor, Lauryn Morris, Swathi Muthyala Ramesh, Logan M. Wilcox, Doyle T. Motes, Kristen M. Donnell
Embedded Aperture-Based Fss Sensor, Lauryn Morris, Swathi Muthyala Ramesh, Logan M. Wilcox, Doyle T. Motes, Kristen M. Donnell
Electrical and Computer Engineering Faculty Research & Creative Works
Frequency Selective Surfaces (FSSs) Are Two-Dimensional Periodic Arrays of Electrically Conductive Elements or Apertures that Have a Specific Electromagnetic Reflection And/or Transmission Response. in This Work, an Aperture-Based Sensor Design Was Proposed that is Capable of Sensing Strain When Embedded in a Layered Dielectric Structure (I.e., an Embedded Sensor). an Aperture Approach Was Selected Due to the Potential for Operation in Reflection Mode Without a Conductive Backplane. the Sensor Was Designed to Operate within the K-Band to Improve the Potential Strain Measurement Resolution, as the Unit Cell Dimensions Are Inversely Related to the Operating Frequency and Directly Related to Strain …
Experimental Verification Of Characteristic Mode Analysis (Cma) Using Reverberation Chamber, Haran Manoharan, Xu Wang, Matthew Wu, Jagan Rajagopalan, Akshay Mohan, Chulsoon Hwang
Experimental Verification Of Characteristic Mode Analysis (Cma) Using Reverberation Chamber, Haran Manoharan, Xu Wang, Matthew Wu, Jagan Rajagopalan, Akshay Mohan, Chulsoon Hwang
Electrical and Computer Engineering Faculty Research & Creative Works
In This Work, a Novel Experimental Validation of Characteristic Mode Analysis (CMA) is Proposed using Reverberation Chamber Measurements. using the Modal Weighting Coefficient Formulation based on the Magnetic Moment and Modal H Field Obtained from Solvers, the Total Radiated Power (TRP) is Calculated. This TRP is Compared with the TRP Obtained from the Reverberation Chamber Measurements. a Good Correlation between the Simulation and Measurement Was Achieved for a Simple Rectangular Plate of Size 15 Cm X 8 Cm with an Error of Less Than 4 DB.
Enhancing Near-Field Wireless Localization With Lidar-Assisted Ris In Multipath Environments, Omar Rinch, Ahmed Elzanaty, Ahmad Alsharoa
Enhancing Near-Field Wireless Localization With Lidar-Assisted Ris In Multipath Environments, Omar Rinch, Ahmed Elzanaty, Ahmad Alsharoa
Electrical and Computer Engineering Faculty Research & Creative Works
In Next-Generation Wireless Networks that Adopt Millimeter-Waves and Large RIS, the User is Expected to Be in the Near-Field Region, Where the Widely Adopted Far-Field Algorithms based on Far-Field Can Yield Low Positioning Accuracy. Also, the Localization of UE Becomes More Challenging in Multipath Environments. in This Paper, We Propose a Localization Algorithm for a UE in the Near-Field of a RIS in Multipath Environments. the Proposed Scheme Utilizes a LiDAR to Assist the UE Positioning by Providing Geometric Information About Some of the Scatterers in the Environment. This Information is Fed to a Sparse Recovery Algorithm to Improve the …
System Level Pdn Impedance Optimization Utilizing The Zeros Of The Decoupling Capacitors, Yifan Ding, Shuang Liang, Francesco De Paulis, Matteo Cocchini, Samuel Connor, Matthew Doyle, Albert E. Ruehli, Chulsoon Hwang, James L. Drewniak
System Level Pdn Impedance Optimization Utilizing The Zeros Of The Decoupling Capacitors, Yifan Ding, Shuang Liang, Francesco De Paulis, Matteo Cocchini, Samuel Connor, Matthew Doyle, Albert E. Ruehli, Chulsoon Hwang, James L. Drewniak
Electrical and Computer Engineering Faculty Research & Creative Works
System-Level Power Distribution Network (PDN) Impedance Optimization Utilizing the Zeros of the Decoupling Capacitors (Decaps) is Discussed in This Paper. an Example of a Practical PDN Application is Proposed to Validate the Poles and Zeros Algorithm (P&Z) Presented. the System-Level PDN is with the Printed Circuit Board (PCB), Package (PKG), and Chip, as Well as the Low-Frequency Decaps on the PCB and the On-PKG Decoupling Capacitors. the PDN Optimization Results Are Compared with Those from the Genetic Algorithm (GA) to Show the Reasonableness and Validity of the P&Z Algorithm.
An Analysis On The Effectiveness Of 2 And 3 Terminal Capacitors In Pdn Design, Jack Juang, Jiahuan Huang, Anfeng Huang, Kelvin Qiu, Hanfeng Wang, Yansheng Wang, Zhiping Yang, Chulsoon Hwang
An Analysis On The Effectiveness Of 2 And 3 Terminal Capacitors In Pdn Design, Jack Juang, Jiahuan Huang, Anfeng Huang, Kelvin Qiu, Hanfeng Wang, Yansheng Wang, Zhiping Yang, Chulsoon Hwang
Electrical and Computer Engineering Faculty Research & Creative Works
The Parasitic Inductance of a Capacitor Depends on its Physical Structure. Due to the Geometry of 3-Terminal Capacitors, They Boast a Lower Parasitic Inductance Compared to 2-Terminal Capacitors of the Same and Possibly Smaller Package Sizes. While the Parasitic Inductance of a Single 3-Terminal Capacitor May Be Lower, using Multiple 2-Terminal Capacitors May Result in Similar Performance. in This Work, the Inductance of 2-Terminal (0201, Nominal 2.2 UF) and 3-Terminal (0402, Nominal 4.3 UF) Capacitors is Extracted and Compared through Measurements. from Our De-Embedding Method and Characterized Capacitors, the Inductance of 2-Terminal Capacitors is Only About 20 PH Higher Than …
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
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.
Lifelong Learning Control Of Nonlinear Systems With Constraints Using Multilayer Neural Networks With Application To Mobile Robot Tracking, Irfan Ganie, S. (Sarangapani) Jagannathan
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 …
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
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 …
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
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 …
Passive Testing Of Electrically Small Antennas In Electronic Systems, Bin Xiao, Lidong Chi, Fuhai Li, James L. Drewniak, Gang Feng, Yihong Qi
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, …
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
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 …
Guest Editorial Special Section On The 2022 Ieee International Instrumentation And Measurement Technology Conference, Sergio Rapuano, Kristen M. Donnell, Pawel Niewczas
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.
A Statistical Shmoo For A Decision Feedback Equalizer (Dfe), Junyong Park, Donghyun Kim
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 …
Accelerated Statistical Eye Diagram Estimation Method For Efficient Signal Integrity Analysis, Junyong Park, Youngwoo Kim, Donghyun Kim
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) …
Multiple Uav-Lidar Placement Optimization Under Road Priority And Resolution Requirements, Zachary Osterwisch, Omar Rinchi, Ahmad Alsharoa, Hakim Ghazzai, Yehia Massoud
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 …
Implementing The Fast Full-Wave Electromagnetic Forward Solver Using The Deep Convolutional Encoder-Decoder Architecture, He Ming Yao, Lijun Jiang, Michael Ng
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 …
Experimental Study For Improving The Productivity Of Laser Foil Printing, Tunay Turk, Ming-Chuan Leu
Experimental Study For Improving The Productivity Of Laser Foil Printing, Tunay Turk, Ming-Chuan Leu
Mechanical and Aerospace Engineering Faculty Research & Creative Works
This Study Aims to Improve the Productivity of Laser Foil Printing (LFP), Which is a Foil-Based Metal Additive Manufacturing (AM) Process. LFP Uses a Dual-Laser System to Fabricate a 3-Dimensional Part in a Layered Fashion by Performing Four Steps in Each Layer: Spot Welding, Pattern Welding, Contour Cutting, and Edge Polishing, All of Which Performed by Use of Lasers. We Experimentally Examined the Welding and Polishing Steps in This Study to Enhance LFP Productivity. the Jump Speed, Dwelling Duration, and Weld Path of Spot Welding and the Line Welding Speed and Wait Time between Weld Lines of Pattern Welding Are …
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
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 …
A Throughput Fast Measurement Method For Two-Antenna Equipped Wireless Mimo Terminals, Penghui Shen, Quan Yu, Daryl G. Beetner, Yihong Qi
A Throughput Fast Measurement Method For Two-Antenna Equipped Wireless Mimo Terminals, Penghui Shen, Quan Yu, Daryl G. Beetner, Yihong Qi
Electrical and Computer Engineering Faculty Research & Creative Works
According to the Third Generation Partnership Project Specification, a Period of 8-12.8 H is Required to Evaluate the Multiple-Input-Multiple-Output (MIMO) Performance of a Wireless Terminal for a Single Frequency Point and Channel Model Combination. the Following Article Proposes a Semi-Simulation, Semi-Measurement-Based MIMO throughput Modeling Scheme Which Can Reduce the 8-12.8-H Measurement Time to 40-60 Min, Corresponding to More Than a Ten Times Improvement of the Test Efficiency, Without Loss of the Test Accuracy.
Mixed-Input Learning For Multi-Point Landing Guidance With Hazard Avoidance Part Ii: Learning-Based Guidance Algorithm, Sixiong You, Chaoying Pei, Vinay Kenny, Ran Dai, Jeremy R. Rea
Mixed-Input Learning For Multi-Point Landing Guidance With Hazard Avoidance Part Ii: Learning-Based Guidance Algorithm, Sixiong You, Chaoying Pei, Vinay Kenny, Ran Dai, Jeremy R. Rea
Mechanical and Aerospace Engineering Faculty Research & Creative Works
This paper investigates the three-dimensional (3D) multi-point landing guidance (MLG) problem with hazard avoidance by developing a mixed-input learning-based method to achieve precise and fuel-efficient planetary landing in future Mars missions. Specifically, we aim to find a safe, fuel-efficient landing point and generate a fuel-optimal trajectory simultaneously in real-time. First, by introducing binary variables, the MLG problem is formulated as an optimal control problem with quadratic constraints. Then, by formulating the Hamiltonian function, the necessary conditions of optimality for the MLG problem are obtained, where the critical parameters are identified to represent the complete optimal solution. After that, to find …
A Machine Learning Approach To Support Neuromorphic Device Design And Microfabrication, Abdi Yamil Vicenciodelmoral, Md Mehedi Hasan Tanim, Feng Zhao, Xinghui Zhao
A Machine Learning Approach To Support Neuromorphic Device Design And Microfabrication, Abdi Yamil Vicenciodelmoral, Md Mehedi Hasan Tanim, Feng Zhao, Xinghui Zhao
Electrical and Computer Engineering Faculty Research & Creative Works
Neuromorphic chips provide a potential solution for sustainable computing, as they attempt to mimic the neuronal architectures in human brain and show great potentials in reducing energy consumption in the order of magnitude and also improve the computational performance. However, the fabrication process for neuromorphic chips is costly and currently based on trial-and-error, which adds complexity to the design process. In this paper, we address these challenges by designing and developing machine learning guided microfabrication process for Resistive Random Access Memory (RRAM), which is a key device in neuromorphic chips. Specifically, our research makes the following contributions: 1) we successfully …
Prediction Of Dynamic Mechanical Behaviors Of Coral Concrete Under Different Corrosive Environments And Its Enhancement Mechanism, Jingjie Wei, Boyuan Cheng, Lixiao Li, Wu Jian Long, Kamal Khayat
Prediction Of Dynamic Mechanical Behaviors Of Coral Concrete Under Different Corrosive Environments And Its Enhancement Mechanism, Jingjie Wei, Boyuan Cheng, Lixiao Li, Wu Jian Long, Kamal Khayat
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
The marine structures are usually exposed to dynamic loadings within short periods and chemical attacks, resulting in severe dynamical damage or failure to concrete structures. The study of the time-dependent changes in the dynamic mechanical behavior of coral concrete under different corrosive environments and low-frequency waves is limited. For the safety and reliable use of coral concrete in the marine environment, different corrosion environments (chloride ions, sulfate ions, and mixed chloride-sulfate ions) and low-frequency waves (0.5–2.0 Hz) were designed to evaluate the dynamic properties of concrete. A model considering the effect of corroded age is formulated to predict the damping …
Key Factors Affecting Labor Productivity In Offsite Construction Projects, Rayan H. Assaad, Islam H. El-Adaway, Makarand Hastak, Kim Lascola Needy
Key Factors Affecting Labor Productivity In Offsite Construction Projects, Rayan H. Assaad, Islam H. El-Adaway, Makarand Hastak, Kim Lascola Needy
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Offsite construction has been shown to possess many advantages and benefits in dealing with the construction industry's challenges, which include poor labor productivity. Nevertheless, all previous productivity-related research studies have focused mainly on factors impacting labor productivity in traditional stick-built construction methods. This paper filled this knowledge gap by following a multistep interrelated research methodology. First, a research team of 19 construction professionals and academics developed and distributed an industry survey to (1) quantify the likelihood of occurrence and relative impact of risk factors that adversely impact labor productivity in offsite construction projects; (2) identify and prioritize key risk factors …