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Electrical and Computer Engineering
Electrical and Computer Engineering Faculty Research & Creative Works
- Keyword
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- Isolation (6)
- Machine learning (6)
- Coupling (5)
- Deep learning (5)
- Deep neural network (3)
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- Domain decomposition method (DDM) (3)
- Optimization (3)
- Radiated emissions (3)
- Renewable energy (3)
- Robin transmission condition (RTC) (3)
- Active Microwave Thermography (AMT) (2)
- Coaxial cable device (2)
- Compressive strength (2)
- Concurrent learning (2)
- Convergence (2)
- Convolutional neural network (2)
- DGTD (2)
- De-embedding (2)
- Dermoscopy (2)
- Desense (2)
- Discontinuous Galerkin time-domain (DGTD) method (2)
- Dual-band (2)
- Dynamic programming (2)
- Electrostatic discharge (ESD) (2)
- Energy storage (2)
- Frequency selective surface (2)
- Genetic algorithm (2)
- Interferometers (2)
- Microwave photonics (2)
- Nondestructive Testing and Evaluation (NDT&E) (2)
Articles 31 - 60 of 135
Full-Text Articles in Engineering
Improved Current Shunt Characterization Method For Core Loss Measurement, Anfeng Huang, Xu Wang, Hanyu Zhang, Chulsoon Hwang, David Pommerenke, Jun Fan
Improved Current Shunt Characterization Method For Core Loss Measurement, Anfeng Huang, Xu Wang, Hanyu Zhang, Chulsoon Hwang, David Pommerenke, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
With the increasing switching frequencies and power densities in modern power converters, magnetic core losses are becoming more essential for efficiency and thermal optimization. Traditionally, the two-winding method suffers from sensitivity to phase error in practical measurements; this is mainly created by the unknown phase shift of a current-sensing resistor. Several methods have been developed to characterize the phase shift of a current shunt resistor; however, the load effects of oscilloscopes are ignored. As a result, the corresponding phase shift can be significantly underestimated. This article proposes an improved method for phase shift extraction of a current shunt to solve …
Snow Parameters Inversion From Passive Microwave Remote Sensing Measurements By Deep Convolutional Neural Networks, Heming Yao, Yanming Zhang, Lijun Jiang, Hong Tat Ewe, Michael Ng
Snow Parameters Inversion From Passive Microwave Remote Sensing Measurements By Deep Convolutional Neural Networks, Heming Yao, Yanming Zhang, Lijun Jiang, Hong Tat Ewe, Michael Ng
Electrical and Computer Engineering Faculty Research & Creative Works
This paper proposes a novel inverse method based on the deep convolutional neural network (ConvNet) to extract snow's layer thickness and temperature via passive microwave remote sensing (PMRS). The proposed ConvNet is trained using simulated data obtained through conventional computational electromagnetic methods. Compared with the traditional inverse method, the trained ConvNet can predict the result with higher accuracy. Besides, the proposed method has a strong tolerance for noise. The proposed ConvNet composes three pairs of convolutional and activation layers with one additional fully connected layer to realize regression, i.e., the inversion of snow parameters. The feasibility of the proposed method …
An Explicit Time-Domain Finite-Element Boundary Integral Method For Analysis Of Electromagnetic Scattering, Ming Dong, Liang Chen, Lijun Jiang, Ping Li, Hakan Bagci
An Explicit Time-Domain Finite-Element Boundary Integral Method For Analysis Of Electromagnetic Scattering, Ming Dong, Liang Chen, Lijun Jiang, Ping Li, Hakan Bagci
Electrical and Computer Engineering Faculty Research & Creative Works
A numerical scheme, which hybridizes the element-level dual-field time-domain finite-element domain decomposition method (ELDDM) and the time-domain boundary integral (TDBI) method to accurately and efficiently analyze open-region transient electromagnetic scattering problems, is proposed. Element-level decomposition decouples Maxwell equations on a discretization element from those on its neighboring elements using equivalent currents defined on their faces. For any element inside the computation domain, the equivalent currents are obtained from fields in the neighboring elements. For any element on the boundary of the computation domain, the equivalent currents are obtained using the fields generated by TDBI. To generate these fields, TDBI 'radiates' …
A 3d Non-Stationary Mimo Channel Model For Reconfigurable Intelligent Surface Auxiliary Uav-To-Ground Mmwave Communications, Baiping Xiong, Zaichen Zhang, Hao Jiang, Jiangfan Zhang, Liang Wu, Jian Dang
A 3d Non-Stationary Mimo Channel Model For Reconfigurable Intelligent Surface Auxiliary Uav-To-Ground Mmwave Communications, Baiping Xiong, Zaichen Zhang, Hao Jiang, Jiangfan Zhang, Liang Wu, Jian Dang
Electrical and Computer Engineering Faculty Research & Creative Works
Unmanned aerial vehicle (UAV) communications exploiting millimeter wave (mmWave) can satisfy the increasing data rate demands for future wireless networks owing to the line-of-sight (LoS) dominated transmission and flexibility. In reality, the LoS link can be easily and severely blocked due to poor propagation environments such as tall buildings or trees. To this end, we introduce a reconfigurable intelligent surface (RIS), which passively reflects signals with programmable reflection coefficients, between the transceivers to enhance the communication quality. Specifically, in this paper we generalize a three-dimensional (3D) non-stationary wideband end-to-end channel model for RIS auxiliary UAV-to-ground mmWave multiple-input multiple-output (MIMO) communication …
Predicting Compressive Strength Of Alkali-Activated Systems Based On The Network Topology And Phase Assemblages Using Tree-Structure Computing Algorithms, Rohan Bhat, Taihao Han, Sai Akshay Ponduru, Arianit Reka, Jie Huang, Gaurav Sant, Aditya Kumar
Predicting Compressive Strength Of Alkali-Activated Systems Based On The Network Topology And Phase Assemblages Using Tree-Structure Computing Algorithms, Rohan Bhat, Taihao Han, Sai Akshay Ponduru, Arianit Reka, Jie Huang, Gaurav Sant, Aditya Kumar
Electrical and Computer Engineering Faculty Research & Creative Works
Alkali-activated system is an environment-friendly, sustainable construction material utilized to replace ordinary Portland cement (OPC) that contributes to 9% of the global carbon footprint. Moreover, the alkali-activated system has exhibited superior strength at early ages and better corrosion resistance compared to OPC. The current state of analytical and machine learning models cannot produce highly reliable predictions of the compressive strength of alkali-activated systems made from different types of aluminosilicate-rich precursors owing to substantive variation in the chemical compositions and reactivity of these precursors. In this study, a random forest model with two constraints (i.e., topological network and thermodynamic constraints) is …
Distributed Fiber Optic Sensing With Enhanced Sensitivity Based On Microwave-Photonic Vernier Effect, Chen Zhu, Muhammad Roman, Yiyang Zhuang, Jie Huang
Distributed Fiber Optic Sensing With Enhanced Sensitivity Based On Microwave-Photonic Vernier Effect, Chen Zhu, Muhammad Roman, Yiyang Zhuang, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
The Vernier Effect Has Been Widely Used in the Field of Measurement and Instrumentation for Sensitivity Enhancement. Single-Point Optical Fiber Sensors based on the Vernier Effect Have Been Extensively Reported in Recent Years. in This Letter, for the First Time, a Distributed Optical Fiber Sensor based on Microwave Photonics with Improved Sensitivity Enabled by the Vernier Effect is Demonstrated. Distributed Sensing is Realized by Interrogating a Fabry–Perot Interferometer (FPI) Array Formed by Cascaded Reflectors Along an Optical Fiber using an Optical Carrier-Based Microwave Interferometry (OCMI) System. a Reference FPI is Also Included in the System. the Interferogram of Each of …
Parallel Higher Order Dgtd And Fetd For Transient Electromagnetic-Circuital-Thermal Co-Simulation, Huan Huan Zhang, Pan Pan Wang, Li (Lijun) Jun Jiang, Wei E.I. Sha, Mei Song Tong, Ying Liu, Wei Jun Wu, Guang Ming Shi
Parallel Higher Order Dgtd And Fetd For Transient Electromagnetic-Circuital-Thermal Co-Simulation, Huan Huan Zhang, Pan Pan Wang, Li (Lijun) Jun Jiang, Wei E.I. Sha, Mei Song Tong, Ying Liu, Wei Jun Wu, Guang Ming Shi
Electrical and Computer Engineering Faculty Research & Creative Works
A hybrid higher order discontinuous Galerkin time-domain (DGTD) method and finite-element time-domain (FETD) method with parallel technique is proposed for electromagnetic (EM)-circuital-thermal co-simulation in this article. For electromagnetic simulation, DGTD method with higher order hierarchical vector basis functions is used to solve Maxwell equation. Circuit simulation is carried out by modified nodal analysis method. For thermal simulation, FETD method with higher order interpolation scalar basis functions is adopted to solve heat conduction equation. To implement electromagnetic-circuital-thermal co-simulation, the electromagnetic and circuital equations are strongly coupled through voltages, currents, and electric fields at the lumped ports first. Then the electromagnetic and …
Laser-Scribed Conductive, Photoactive Transition Metal Oxide On Soft Elastomers For Janus On-Skin Electronics And Soft Actuators, Ganggang Zhao, Yun Ling, Yajuan Su, Zanyu Chen, Cherian J. Mathai, Ogheneobarome Emeje, Alexander Brown, Dinesh Reddy Alla, Jie Huang, Chansong Kim, Qian Chen, Xiaoqing He, David Stalla, Yadong Xu
Laser-Scribed Conductive, Photoactive Transition Metal Oxide On Soft Elastomers For Janus On-Skin Electronics And Soft Actuators, Ganggang Zhao, Yun Ling, Yajuan Su, Zanyu Chen, Cherian J. Mathai, Ogheneobarome Emeje, Alexander Brown, Dinesh Reddy Alla, Jie Huang, Chansong Kim, Qian Chen, Xiaoqing He, David Stalla, Yadong Xu
Electrical and Computer Engineering Faculty Research & Creative Works
Laser-assisted fabrication of conductive materials on flexible substrates has attracted intense interests because of its simplicity, easy customization, and broad applications. However, it remains challenging to achieve laser scribing of conductive materials on tissue-like soft elastomers, which can serve as the basis to construct bioelectronics and soft actuators. Here, we report laser scribing of metallic conductive, photoactive transition metal oxide (molybdenum dioxide) on soft elastomers, coated with molybdenum chloride precursors, under ambient conditions. Laser-scribed molybdenum dioxide (LSM) exhibits high electrical conductivity, biocompatibility, chemical stability, and compatibility with magnetic resonance imaging. In addition, LSM can be made on various substrates (polyimide, …
Training Set Optimization In An Artificial Neural Network Constructed For High Bandwidth Interconnects Design, Bo Pu, Heegon Kim, Xiao Ding Cai, Bidyut Sen, Chunchun Sui, Jun Fan
Training Set Optimization In An Artificial Neural Network Constructed For High Bandwidth Interconnects Design, Bo Pu, Heegon Kim, Xiao Ding Cai, Bidyut Sen, Chunchun Sui, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
In this article, a novel training set optimization method in an artificial neural network (ANN) constructed for high bandwidth interconnects design is proposed based on rigorous probability analysis. In general, the accuracy of an ANN is enhanced by increasing training set size. However, generating large training sets is inevitably time-consuming and resource-demanding, and sometimes even impossible due to limited prototypes or measurement scenarios. Especially, when the number of channels in required design are huge such as graphics double data rate (GDDR) memory and high bandwidth memory (HBM). Therefore, optimizing the training set selection process is crucial to minimizing the training …
Machine Learning Enabled Closed-Form Models To Predict Strength Of Alkali-Activated Systems, Taihao Han, Eslam Gomaa, Ahmed Gheni, Jie Huang, Mohamed Elgawady, Aditya Kumar
Machine Learning Enabled Closed-Form Models To Predict Strength Of Alkali-Activated Systems, Taihao Han, Eslam Gomaa, Ahmed Gheni, Jie Huang, Mohamed Elgawady, Aditya Kumar
Electrical and Computer Engineering Faculty Research & Creative Works
Alkali-activated mortar (AAM) is an emerging eco-friendly construction material, which can complement ordinary Portland cement (OPC) mortars. Prediction of properties of AAMs—albeit much needed to complement experiments—is difficult, owing to substantive batch-to-batch variations in physicochemical properties of their precursors (i.e., aluminosilicate and activator solution). In this study, a machine learning (ML) model is employed; and it is shown that the model—once trained and optimized—can reliably predict compressive strength of AAMs solely from their initial physicochemical attributes. Prediction performance of the model improves when multiple compositional descriptors of the aluminosilicate are combined into a singular, composite chemostructural descriptor (i.e., network ratio …
A Planar Low-Profile Meander Antenna Design For Wireless Terminal Achieving Low Rf Interference And High Isolation In Multi-Antenna Systems, Yang Xiao, Yihong Qi, Wei Yu, Ye Hai Bi, Xiangrui Su, Chunyu Wu, Qiang Liu, Jun Fan
A Planar Low-Profile Meander Antenna Design For Wireless Terminal Achieving Low Rf Interference And High Isolation In Multi-Antenna Systems, Yang Xiao, Yihong Qi, Wei Yu, Ye Hai Bi, Xiangrui Su, Chunyu Wu, Qiang Liu, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
In this article, a meander line internal antenna used for wireless terminal is proposed. The current of this antenna is mostly distributed on the antenna radiator itself, rather than on the main board of the wireless device. As a result, the chance of having radiofrequency (RF) interference issues, which usually result in receiver desensitization in wireless radios, can be significantly reduced. The antenna has good radiation performance in the vertical polarization with a low physical profile, compared with the existing antenna designs for typical wireless terminals. The antenna has efficiency similar to the monopole antenna with much less reference/ground plane …
An Impedance Converter-Based Probe Characterization Method For Magnetic Materials' Loss Measurement, Anfeng Huang, Hongseok Kim, Hanyu Zhang, Qiusen He, David Pommerenke, Jun Fan
An Impedance Converter-Based Probe Characterization Method For Magnetic Materials' Loss Measurement, Anfeng Huang, Hongseok Kim, Hanyu Zhang, Qiusen He, David Pommerenke, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
As an essential component in power applications, magnetic cores and their design play an important role in achieving high efficiency and high-power density. Accurate measurement of the core loss is important for inductor and power converter optimization. Loss measurement depends on exactly determining the phase angle between the voltage and the current. However, measurement errors can be introduced due to the discrepancies in propagation delays in the voltage and current sensors. In addition, the propagation delay is frequency-dependent but has a large influence in the MHz range and above. Previously, several methods have been proposed to compensate for this discrepancy, …
Design Of Wideband Decoupling Networks For Mimo Antennas Based On An N-Ary Optimization Algorithm, Min Li, Kwan Lawrence Yeung, Lijun Jiang, Ross Murch
Design Of Wideband Decoupling Networks For Mimo Antennas Based On An N-Ary Optimization Algorithm, Min Li, Kwan Lawrence Yeung, Lijun Jiang, Ross Murch
Electrical and Computer Engineering Faculty Research & Creative Works
Techniques for reducing the coupling between antenna elements in multiple-input multiple-output (MIMO) systems are important for achieving the full potential of MIMO. In this article, a general and systematic method is developed to design a wideband decoupling and matching network (DMN) for MIMO antenna arrays. The DMN is formed by grid-like transmission lines interconnected by lumped components, whose reactance can be obtained from an N-ary optimization algorithm. Four design benchmarks are performed for validating decoupling methodology, elaborating on design/implementation procedure, and demonstrating superiority of the proposed method. Results show that the DMN achieves broad isolation bandwidth while occupying a small …
Sizing Battery Energy Storage And Pv System In An Extreme Fast Charging Station Considering Uncertainties And Battery Degradation, Waqas Ur Rehman, Rui Bo, Hossein Mehdipourpicha, Jonathan W. Kimball
Sizing Battery Energy Storage And Pv System In An Extreme Fast Charging Station Considering Uncertainties And Battery Degradation, Waqas Ur Rehman, Rui Bo, Hossein Mehdipourpicha, Jonathan W. Kimball
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents mixed integer linear programming (MILP) formulations to obtain optimal sizing for a battery energy storage system (BESS) and solar generation system in an extreme fast charging station (XFCS) to reduce the annualized total cost. The proposed model characterizes a typical year with eight representative scenarios and obtains the optimal energy management for the station and BESS operation to exploit the energy arbitrage for each scenario. Contrasting extant literature, this paper proposes a constant power constant voltage (CPCV) based improved probabilistic approach to model the XFCS charging demand for weekdays and weekends. This paper also accounts for the …
Plant Identification In A Combined-Imbalanced Leaf Dataset, Viraj K. Gajjar, Anand K. Nambisan, Kurt Louis Kosbar
Plant Identification In A Combined-Imbalanced Leaf Dataset, Viraj K. Gajjar, Anand K. Nambisan, Kurt Louis Kosbar
Electrical and Computer Engineering Faculty Research & Creative Works
Plant identification has applications in ethnopharmacology and agriculture. Since leaves are one of a distinguishable feature of a plant, they are routinely used for identification. Recent developments in deep learning have made it possible to accurately identify the majority of samples in five publicly available leaf datasets. However, each dataset captures the images in a highly controlled environment. This paper evaluates the performance of EfficientNet and several other convolutional neural network (CNN) architectures when applied to a combination of the LeafSnap, Middle European Woody Plants 2014, Flavia, Swedish, and Folio datasets. To normalize the impact of imbalance resulting from combining …
Analyzing The Influence Of Imbalanced Two- Or Three-Wire Vhf Lisn On Radiated Emissions From Ac Cables, Hossein Rezaei, Morten Sorensen, Wei Huang, Daryl G. Beetner, David Pommerenke
Analyzing The Influence Of Imbalanced Two- Or Three-Wire Vhf Lisn On Radiated Emissions From Ac Cables, Hossein Rezaei, Morten Sorensen, Wei Huang, Daryl G. Beetner, David Pommerenke
Electrical and Computer Engineering Faculty Research & Creative Works
This article investigates using imbalanced two- and three-wire terminations for ac main cables, as suggested by the standard group. These terminations provide the basis for a new line impedance stabilization network (LISN) whose objective is to improve test repeatability between labs while also providing better estimation of real-world emissions. Standard balanced LISNs do not reproduce the imbalanced terminations seen in practice. An imbalanced two- or three-wire very high-frequency LISN was built, which can handle up to 15 A on each line. The LISN operates from 30 to 200 MHz and provides greater than 50-dB isolation between the input and output. …
Novel Cma Scheme To Design Self-Decoupled Mimo Dipole Pair For Base-Station Applications, Min Li, Bing Xiao, Changfei Zhou, Di Wu, Kwan Lawrence Yeung, Lijun Jiang, Ross Murch
Novel Cma Scheme To Design Self-Decoupled Mimo Dipole Pair For Base-Station Applications, Min Li, Bing Xiao, Changfei Zhou, Di Wu, Kwan Lawrence Yeung, Lijun Jiang, Ross Murch
Electrical and Computer Engineering Faculty Research & Creative Works
This article presents a novel method to design multiple-input-multiple-output (MIMO) antennas based on characteristic mode analysis (CMA), which is different from using individual excitation of each characteristic mode for high isolation. The CMA is performed to design a pair of symmetric slots on two connected dipole antennas (a MIMO dipole pair), so that two desired characteristic modes can be generated at the same frequency, one of which is in common mode and the other in differential mode. Hence, when one antenna element is excited, the two characteristic modes combine and cancel each other at the other antenna element, leading to …
Topology-Based Accurate Modeling Of Current-Mode Voltage Regulator Modules For Power Distribution Network Design, Jingdong Sun, Yimajian Yan, Hanfeng Wang, Emil Chen, Ken Wu, Jun Fan
Topology-Based Accurate Modeling Of Current-Mode Voltage Regulator Modules For Power Distribution Network Design, Jingdong Sun, Yimajian Yan, Hanfeng Wang, Emil Chen, Ken Wu, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
Power distribution network (PDN) is essential in electronic systems to provide reliable power for load devices. Thus, modeling of PDNs in printed circuit boards and packages has been extensively studied in the past few decades. However, with the higher integration levels and operation bandwidths of modern voltage regulator module (VRM), there lacks an accurate model for transient load responses based on the widely used current-mode control topology. In this work, a topology-based behavior model, including both the power stage and control loops, is developed for the current-mode buck VRM. A novel method is also proposed to unify the modeling of …
2-D Tilt Sensor Based On Coaxial Cable Fabry-Perot Resonators With Submicroradian Resolution, Chen Zhu, Yan Tang, Yiyang Zhuang, Jing Guo, Rex E. Gerald, Jie Huang
2-D Tilt Sensor Based On Coaxial Cable Fabry-Perot Resonators With Submicroradian Resolution, Chen Zhu, Yan Tang, Yiyang Zhuang, Jing Guo, Rex E. Gerald, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
For the Past 50 Years, Open-Ended Coaxial Lines Were Commonly Employed for the Determination of Electromagnetic Properties of Various Materials. in This Article, the Application of an Open-Ended Hollow Coaxial Cable Resonator (OE-HCCR) as a 1-D Inclinometer for Tilt Measurements with 110 Nanoradian (Nrad) Resolution is Proposed and Demonstrated. the Coaxial Cable Resonant Structure is Formed between a Metal Post Welded within the Coaxial Cable at the RF Input End and the Open End of the Coaxial Cable. a Metal Mass Block, Suspended in Proximity to the Open End in Parallel is Used to Construct a Pendulum Structure, Serving as …
A Compact High-Isolation Wideband Three-Sector Linear Array, Sheng Wu, Lidong Chi, Fuhai Li, Francesco De Paulis, Yihong Qi
A Compact High-Isolation Wideband Three-Sector Linear Array, Sheng Wu, Lidong Chi, Fuhai Li, Francesco De Paulis, Yihong Qi
Electrical and Computer Engineering Faculty Research & Creative Works
A compact and highly isolated three-sector linear array is proposed targeting point-to-point or point-to-multipoint data communication in Central Business District (CBD) and residential subdivision applications. It features wide bandwidth, high isolation among the units, low wind load, and low manufacturing and installation costs within the 400-500 MHz band. The driving element of the array unit is a wideband high-efficiency electromagnetic structure (WHEMS) applied in combination with the metal rods as passive elements for isolation purposes. The parasitic rod, shared by the adjacent units, decouples the mutual coupling by reducing the distance, which realizes not only the high isolation capability but …
Radio-Frequency Interference Estimation For Multiple Random Noise Sources, Ling Zhang, Haochen Yang, Xiangrui Su, Qiaolei Huang, Jagan Rajagopalan, Deepak Pai, Chulsoon Hwang, Jun Fan
Radio-Frequency Interference Estimation For Multiple Random Noise Sources, Ling Zhang, Haochen Yang, Xiangrui Su, Qiaolei Huang, Jagan Rajagopalan, Deepak Pai, Chulsoon Hwang, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
As more compact designs and more assembled function modules are utilized in modern electronic devices, radio-frequency interference (RFI) source reconstruction is becoming more challenging because different noise sources may contribute simultaneously. This article presents a novel methodology to reconstruct multiple random noise sources on a real-world product, including several double-data-rate (DDR) memory modules and a high-speed connector. The DDR modules located beneath a heatsink cause random noise-like signals, which renders phase measurements challenging. An approach based on the tuned-receiver mode of a vector network analyzer is developed to measure the field phase from the random DDR signals, which can be …
An Accurate And Computationally Efficient Method For Battery Capacity Fade Modeling, D. M. Ajiboye, Jonathan W. Kimball, R.(Robert) G. Landers, John (T.) Park
An Accurate And Computationally Efficient Method For Battery Capacity Fade Modeling, D. M. Ajiboye, Jonathan W. Kimball, R.(Robert) G. Landers, John (T.) Park
Electrical and Computer Engineering Faculty Research & Creative Works
The Industry Demand for Accurate and Fast Algorithms that Model Vital Battery Parameters, E.g., State-Of-Health, State-Of-Charge, Pulse-Power Capability, is Substantial. One of the Most Critical Models is Battery Capacity Fade. the Key Challenge with Physics-Based Battery Capacity Fade Modeling is the High Numerical Cost in Solving Complex Models. in This Study, an Efficient and Fast Model is Presented to Capture Capacity Fade in Lithium-Ion Batteries. Here, the High-Order Chebyshev Spectral Method is Employed to Address the Associated Complexity with Physics-Based Capacity Fade Models. its Many Advantages, Such as Low Computational Memory, High Accuracy, Exponential Convergence, and Ease of Implementation, Allow …
Fast Impedance Prediction For Power Distribution Network Using Deep Learning, Ling Zhang, Jack Juang, Zurab Kiguradze, Bo Pu, Shuai Jin, Songping Wu, Zhiping Yang, Jun Fan, Chulsoon Hwang
Fast Impedance Prediction For Power Distribution Network Using Deep Learning, Ling Zhang, Jack Juang, Zurab Kiguradze, Bo Pu, Shuai Jin, Songping Wu, Zhiping Yang, Jun Fan, Chulsoon Hwang
Electrical and Computer Engineering Faculty Research & Creative Works
Modeling and simulating a power distribution network (PDN) for printed circuit boards with irregular board shapes and multi-layer stackup is computationally inefficient using full-wave simulations. This paper presents a new concept of using deep learning for PDN impedance prediction. A boundary element method (BEM) is applied to efficiently calculate the impedance for arbitrary board shape and stackup. Then over one million boards with different shapes, stackup, integrated circuits (IC) location, and decap placement are randomly generated to train a deep neural network (DNN). The trained DNN can predict the impedance accurately for new board configurations that have not been used …
Memristor-Based Htm Spatial Pooler With On-Device Learning For Pattern Recognition, Xiaoyang Liu, Yi Huang, Zhigang Zeng, Donald C. Wunsch
Memristor-Based Htm Spatial Pooler With On-Device Learning For Pattern Recognition, Xiaoyang Liu, Yi Huang, Zhigang Zeng, Donald C. Wunsch
Electrical and Computer Engineering Faculty Research & Creative Works
This article investigates hardware implementation of hierarchical temporal memory (HTM), a brain-inspired machine learning algorithm that mimics the key functions of the neocortex and is applicable to many machine learning tasks. Spatial pooler (SP) is one of the main parts of HTM, designed to learn the spatial information and obtain the sparse distributed representations (SDRs) of input patterns. The other part is temporal memory (TM) which aims to learn the temporal information of inputs. The memristor, which is an appropriate synapse emulator for neuromorphic systems, can be used as the synapse in SP and TM circuits. In this article, a …
Decoupling And Matching Network For Dual-Band Mimo Antennas, Min Li, Yujie Zhang, Di Wu, Kwan Lawrence Yeung, Lijun Jiang, Ross Murch
Decoupling And Matching Network For Dual-Band Mimo Antennas, Min Li, Yujie Zhang, Di Wu, Kwan Lawrence Yeung, Lijun Jiang, Ross Murch
Electrical and Computer Engineering Faculty Research & Creative Works
This article presents a novel method to design the decoupling and matching network (DMN) for dual-band multi-input-multioutput (MIMO) antennas. The DMN consists of a grid of metallic microstrip stubs, some of which are connected while others are not. The connecting condition in the DMN is the only unknown variable for realizing high antenna isolation. It is determined by rigorous design formulas upon scattering matrix and optimized by the binary optimization algorithm, e.g., genetic algorithm (GA). Thus, high isolation among antennas can be achieved without requiring the optimization process in the electromagnetic simulation tool. Three decoupling examples of two two-element symmetric …
Event-Driven Off-Policy Reinforcement Learning For Control Of Interconnected Systems, Vignesh Narayanan, Hamidreza Modares, Sarangapani Jagannathan, Frank L. Lewis
Event-Driven Off-Policy Reinforcement Learning For Control Of Interconnected Systems, Vignesh Narayanan, Hamidreza Modares, Sarangapani Jagannathan, Frank L. Lewis
Electrical and Computer Engineering Faculty Research & Creative Works
In this article, we introduce a novel approximate optimal decentralized control scheme for uncertain input-affine nonlinear-interconnected systems. In the proposed scheme, we design a controller and an event-triggering mechanism (ETM) at each subsystem to optimize a local performance index and reduce redundant control updates, respectively. To this end, we formulate a noncooperative dynamic game at every subsystem in which we collectively model the interconnection inputs and the event-triggering error as adversarial players that deteriorate the subsystem performance and model the control policy as the performance optimizer, competing against these adversarial players. To obtain a solution to this game, one has …
Heuristic-Based Automatic Pruning Of Deep Neural Networks, Tejalal Choudhary, Vipul Mishra, Anurag Goswami, Jagannathan Sarangapani
Heuristic-Based Automatic Pruning Of Deep Neural Networks, Tejalal Choudhary, Vipul Mishra, Anurag Goswami, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
The performance of a deep neural network (deep NN) is dependent upon a significant number of weight parameters that need to be trained which is a computational bottleneck. The growing trend of deeper architectures poses a restriction on the training and inference scheme on resource-constrained devices. Pruning is an important method for removing the deep NN's unimportant parameters and making their deployment easier on resource-constrained devices for practical applications. In this paper, we proposed a heuristics-based novel filter pruning method to automatically identify and prune the unimportant filters and make the inference process faster on devices with limited resource availability. …
Implication Of Production Tax Credit On Economic Dispatch For Electricity Merchants With Storage And Wind Farms, Jian Liu, Meng Ou, Xinyue Sun, Jian Chen, Chuanmin Mi, Rui Bo
Implication Of Production Tax Credit On Economic Dispatch For Electricity Merchants With Storage And Wind Farms, Jian Liu, Meng Ou, Xinyue Sun, Jian Chen, Chuanmin Mi, Rui Bo
Electrical and Computer Engineering Faculty Research & Creative Works
The production tax credit (PTC) promotes wind energy development, reduces power generation costs, and can affect merchants' joint economic dispatch, particularly for electricity merchants with both energy storage and wind farms. Two common PTC policies are studied – in the first policy, a wind farm receives PTC by selling wind generation to the market and its storage can be used to store energy from the wind generation and energy purchased from the grid but the energy released from the storage cannot receive PTC; in the second policy, the energy released from the storage can also qualify for PTC but purchasing …
Building Marginal Pattern Library With Unbiased Training Dataset For Enhancing Model-Free Load-Ed Mapping, Qiwei Zhang, Fangxing Li, Wei Feng, Xiaofei Wang, Linquan Bai, Rui Bo
Building Marginal Pattern Library With Unbiased Training Dataset For Enhancing Model-Free Load-Ed Mapping, Qiwei Zhang, Fangxing Li, Wei Feng, Xiaofei Wang, Linquan Bai, Rui Bo
Electrical and Computer Engineering Faculty Research & Creative Works
Input-output mapping for a given power system problem, such as loads versus economic dispatch (ED) results, has been demonstrated to be learnable through artificial intelligence (AI) techniques, including neural networks. However, the process of identifying and constructing a comprehensive dataset for the training of such input-output mapping remains a challenge to be solved. Conventionally, load samples are generated by a pre-defined distribution, and then ED is solved based on those load samples to form training datasets, but this paper demonstrates that such dataset generation is biased regarding load-ED mapping. The marginal unit and line congestion (i.e., marginal pattern) exhibit a …
Efficient And Accurate Phase-Measurement Method For Core-Loss Characterization, Anfeng Huang, Jun Fan, Chulsoon Hwang
Efficient And Accurate Phase-Measurement Method For Core-Loss Characterization, Anfeng Huang, Jun Fan, Chulsoon Hwang
Electrical and Computer Engineering Faculty Research & Creative Works
Accurate core-loss characterization is essential to push the power density of power converters to their limits. However, existing core-loss measurement methods still have some limitations, such as a slow test speed and a complex probe calibration procedure. In particular, accurate phase-difference measurement is time-consuming because a fast Fourier transform analysis with a kHz-range frequency interval is typically applied to reduce the influence of noise. An automated measurement system for magnetic core-loss characterization is described in this paper. An accurate phase-detection block with programmable attenuators is developed to measure the phase difference between voltage and current waveforms. The proposed system considerably …