Open Access. Powered by Scholars. Published by Universities.®
Electrical and Computer Engineering
Electrical and Computer Engineering Faculty Research & Creative Works
- Keyword
-
- Isolation (6)
- Machine learning (6)
- Coupling (5)
- Deep learning (5)
- Deep neural network (3)
-
- 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 1 - 30 of 135
Full-Text Articles in Engineering
Improvement For Mimo Systems By Increasing Antenna Isolation And Shaping Radiation Pattern Using Hybrid Network, Min Li, Yujie Zhang, Fan Jiang, Di Wu, Kwan Lawrence Yeung, Lijun Jiang, Ross Murch
Improvement For Mimo Systems By Increasing Antenna Isolation And Shaping Radiation Pattern Using Hybrid Network, Min Li, Yujie Zhang, Fan Jiang, Di Wu, Kwan Lawrence Yeung, Lijun Jiang, Ross Murch
Electrical and Computer Engineering Faculty Research & Creative Works
In this article, a novel method is proposed to design a hybrid network (HN) to increase isolation and shape radiation patterns for multiple-input multiple-output (MIMO) antenna systems. The HN is a combination of a decoupling feeding network and a defected ground network, which are populated by several surface-mounted reactive components whose reactances are determined by the N-ary optimization algorithm. Two decoupling examples are presented to validate the design methodology and elaborate on the design procedure. Measurement results show that the HN helps to realize impedance matching with reflection coefficients below -10 dB, isolation improvement from -5.4/-8.9 dB to below -20 …
A Novel Microgrid Fault Detection And Classification Method Using Maximal Overlap Discrete Wavelet Packet Transform And An Augmented Lagrangian Particle Swarm Optimization-Support Vector Machine, Masoud Ahmadipour, Muhammad Murtadha Othman, Rui Bo, Zainal Salam, Hussein Mohammed Ridha, Kamrul Hasan
A Novel Microgrid Fault Detection And Classification Method Using Maximal Overlap Discrete Wavelet Packet Transform And An Augmented Lagrangian Particle Swarm Optimization-Support Vector Machine, Masoud Ahmadipour, Muhammad Murtadha Othman, Rui Bo, Zainal Salam, Hussein Mohammed Ridha, Kamrul Hasan
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, an intelligent method for fault detection and classification for a microgrid (MG) was proposed. The idea was based on the combination of three computational tools: signal processing using the maximal overlap discrete wavelet packet transform (MODWPT), parameter optimization by the augmented Lagrangian particle swarm optimization (ALPSO), and machine learning using the support vector machine (SVM). The MODWPT was applied to preprocess half cycle of the post-fault current samples measured at both ends of feeders. The wavelet coefficients derived from the MODWPT were statistically evaluated using the mean, standard deviation, energy, skewness, kurtosis, logarithmic energy entropy, max, min, …
Connecting Phenotype To Genotype: Phewas-Inspired Analysis Of Autism Spectrum Disorder, John Matta, Daniel Dobrino, Dacosta Yeboah, Swade Howard, Yasser El-Manzalawy, Tayo Obafemi-Ajayi
Connecting Phenotype To Genotype: Phewas-Inspired Analysis Of Autism Spectrum Disorder, John Matta, Daniel Dobrino, Dacosta Yeboah, Swade Howard, Yasser El-Manzalawy, Tayo Obafemi-Ajayi
Electrical and Computer Engineering Faculty Research & Creative Works
Autism Spectrum Disorder (ASD) is extremely heterogeneous clinically and genetically. There is a pressing need for a better understanding of the heterogeneity of ASD based on scientifically rigorous approaches centered on systematic evaluation of the clinical and research utility of both phenotype and genotype markers. This paper presents a holistic PheWAS-inspired method to identify meaningful associations between ASD phenotypes and genotypes. We generate two types of phenotype-phenotype (p-p) graphs: a direct graph that utilizes only phenotype data, and an indirect graph that incorporates genotype as well as phenotype data. We introduce a novel methodology for fusing the direct and indirect …
High-Sensitivity Optical Fiber Sensing Based On A Computational And Distributed Vernier Effect, Chen Zhu, Jie Huang
High-Sensitivity Optical Fiber Sensing Based On A Computational And Distributed Vernier Effect, Chen Zhu, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
This article reports a novel concept of computational microwave photonics and distributed Vernier effect for sensitivity enhancement in a distributed optical fiber sensor based on an optical carrier microwave interferometry (OCMI) system. The sensor system includes a Fabry-Perot interferometer (FPI) array formed by cascaded fiber in-line reflectors. Using OCMI interrogation, information on each of the interferometers (i.e., sensing interferometers) can be obtained, from which an array of reference interferometers can be constructed accordingly. By superimposing the interferograms of each sensing interferometer and its corresponding reference interferometer, distributed Vernier effect can be generated, so that the measurement sensitivity of each of …
Highly Sensitive Strain Sensor By Utilizing A Tunable Air Reflector And The Vernier Effect, Farhan Mumtaz, Muhammad Roman, Bohong Zhang, Lashari Ghulam Abbas, Muhammad Aqueel Ashraf, Yutang Dai, Jie Huang
Highly Sensitive Strain Sensor By Utilizing A Tunable Air Reflector And The Vernier Effect, Farhan Mumtaz, Muhammad Roman, Bohong Zhang, Lashari Ghulam Abbas, Muhammad Aqueel Ashraf, Yutang Dai, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
A highly sensitive strain sensor based on tunable cascaded Fabry–Perot interferometers (FPIs) is proposed and experimentally demonstrated. Cascaded FPIs consist of a sensing FPI and a reference FPI, which effectively generate the Vernier effect (VE). The sensing FPI comprises a hollow core fiber (HCF) segment sandwiched between single-mode fibers (SMFs), and the reference FPI consists of a tunable air reflector, which is constituted by a computer-programable fiber holding block to adjust the desired cavity length. The simulation results predict the dispersion characteristics of modes carried by HCF. The sensor's parameters are designed to correspond to a narrow bandwidth range, i.e., …
A Simple Optical Fiber Spr Sensor With Ultra-High Sensitivity For Dual-Parameter Measurement, Farhan Mumtaz, Muhammad Roman, Bohong Zhang, Lashari Ghulam Abbas, Muhammad Aqueel Ashraf, Muhammad Arshad Fiaz, Yutang Dai, Jie Huang
A Simple Optical Fiber Spr Sensor With Ultra-High Sensitivity For Dual-Parameter Measurement, Farhan Mumtaz, Muhammad Roman, Bohong Zhang, Lashari Ghulam Abbas, Muhammad Aqueel Ashraf, Muhammad Arshad Fiaz, Yutang Dai, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
This work reports a simple optical fiber Surface Plasmon Resonance (SPR) sensor with ultra-high sensitivity for simultaneous measurement of the dual-parameter. The sensor is based on a D-shaped fiber with a nanolayer coating of Silver (Ag) and Hematite (α-Fe2O3). The Ag/α-Fe2O3 layer is deposited on the longitudinal surface of residual cladding, and a Fiber Bragg Grating (FBG) is inscribed on the single-mode fiber (SMF) for temperature compensation. The α-Fe2O3 layer protects the Ag layer from oxidation and effectively enhances the surface plasmon wave while interacting with free electrons. Finite Element Method (FEM) modeling is employed to investigate the refractive index …
Backscattering Analysis Utilizing Relaxed Hierarchical Equivalent Source Algorithm (Rhesa) For Scatterers In Vegetation Medium, Syabeela Syahali, Hong Tat Ewe, Gobi Vetharatnam, Li (Lijun) Jun Jiang
Backscattering Analysis Utilizing Relaxed Hierarchical Equivalent Source Algorithm (Rhesa) For Scatterers In Vegetation Medium, Syabeela Syahali, Hong Tat Ewe, Gobi Vetharatnam, Li (Lijun) Jun Jiang
Electrical and Computer Engineering Faculty Research & Creative Works
The backscattering cross section of cylindrical and elliptical disk-shaped scatterers was investigated in this study, utilising a new numerical solution method called the relaxed hierarchical equivalent source algorithm (RHESA). The results were compared with the backscattering cross section of similar cases, using analytical method validation from literature. The objective of this research was to look into the possibility of replacing analytical methods with the RHESA in volume scattering calculations, and integrating it into modelling the backscattering of layers of dense media for microwave remote sensing in vegetation; as RHESA provides the freedom to model any shape of scatterer, as opposed …
Reinforcement Learning-Based Cooperative Optimal Output Regulation Via Distributed Adaptive Internal Model, Weinan Gao, Mohammed Mynuddin, Donald C. Wunsch, Zhong Ping Jiang
Reinforcement Learning-Based Cooperative Optimal Output Regulation Via Distributed Adaptive Internal Model, Weinan Gao, Mohammed Mynuddin, Donald C. Wunsch, Zhong Ping Jiang
Electrical and Computer Engineering Faculty Research & Creative Works
In this article, a data-driven distributed control method is proposed to solve the cooperative optimal output regulation problem of leader-follower multiagent systems. Different from traditional studies on cooperative output regulation, a distributed adaptive internal model is originally developed, which includes a distributed internal model and a distributed observer to estimate the leader's dynamics. Without relying on the dynamics of multiagent systems, we have proposed two reinforcement learning algorithms, policy iteration and value iteration, to learn the optimal controller through online input and state data, and estimated values of the leader's state. By combining these methods, we have established a basis …
Group Delay Manipulation In A Passive Microwave-Photonic Fiber Optic Mach–Zehnder Interferometer, Chen Zhu, Jianguo Wang, Jie Huang
Group Delay Manipulation In A Passive Microwave-Photonic Fiber Optic Mach–Zehnder Interferometer, Chen Zhu, Jianguo Wang, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
Conventional slow and fast light (SFL) systems are based on active or nonlinear media or photonic band-gap systems. Radiofrequency (RF) interferometric systems were recently explored for sustaining fast and slow light, owing to their simple structures and passive operation. This Letter introduces a simple, effective, and efficient SFL system based on a linear and passive microwave-photonic (MWP) fiber optic Mach–Zehnder interferometer (MZI). By optically tuning the light transmission ratio of the two fiber beams of the MZI (i.e., the optical carrier), we demonstrate that both delay and advancement of a RF signal (i.e., the envelope signal) can be realized. The …
Online Optimal Adaptive Control Of Partially Uncertain Nonlinear Discrete-Time Systems Using Multilayer Neural Networks, Rohollah Moghadam, Pappa Natarajan, Sarangapani Jagannathan
Online Optimal Adaptive Control Of Partially Uncertain Nonlinear Discrete-Time Systems Using Multilayer Neural Networks, Rohollah Moghadam, Pappa Natarajan, Sarangapani Jagannathan
Electrical and Computer Engineering Faculty Research & Creative Works
This article intends to address an online optimal adaptive regulation of nonlinear discrete-time systems in affine form and with partially uncertain dynamics using a multilayer neural network (MNN). The actor-critic framework estimates both the optimal control input and value function. Instantaneous control input error and temporal difference are used to tune the weights of the critic and actor networks, respectively. The selection of the basis functions and their derivatives are not required in the proposed approach. The state vector, critic, and actor NN weights are proven to be bounded using the Lyapunov method. Our approach can be extended to neural …
Accelerated Bs/Ms Program In Electrical And Computer Engineering, Robert S. Woodley, Steve Eugene Watkins
Accelerated Bs/Ms Program In Electrical And Computer Engineering, Robert S. Woodley, Steve Eugene Watkins
Electrical and Computer Engineering Faculty Research & Creative Works
The Electrical and Computer Engineering Department at Missouri University of Science and Technology implemented an Accelerated BS/MS Program in 2019. This program is designed to encourage and facilitate undergraduate majors in electrical and computer engineering to pursue a masters program. It is similar to engineering programs at other institutions that are identified with titles such as accelerated masters, combined BS/MS, and 4+1 options. It reduces the time needed for undergraduates to earn a graduate degree and exposes these students to research work. It provides a route for faculty to obtain quality graduate students and it builds enrollment for the department. …
A Hybridizable Discontinuous Galerkin Time-Domain Method With Robin Transmission Condition For Transient Thermal Analysis Of 3-D Integrated Circuits, Xuan Zhang, Ping Li, Xiao Chun Li, Li (Lijun) Jun Jiang, Jun Fa Mao
A Hybridizable Discontinuous Galerkin Time-Domain Method With Robin Transmission Condition For Transient Thermal Analysis Of 3-D Integrated Circuits, Xuan Zhang, Ping Li, Xiao Chun Li, Li (Lijun) Jun Jiang, Jun Fa Mao
Electrical and Computer Engineering Faculty Research & Creative Works
In this article, a discontinuous Galerkin time-domain (DGTD) method hybridized with Robin transmission condition (RTC-DGTD) is proposed for the transient thermal analysis of 3-D integrated circuits (ICs). As a kind of domain decomposition method (DDM), the DGTD method employs a term named numerical flux for the information exchange of solutions between neighboring subdomains. The numerical flux is a function of both temperature T and heat flux q, and thus for the heat equation, apart from T, the variable q has to be solved as well. To reach this, the traditional DGTD method decomposes the second-order partial-differential thermal equation into two …
Improved A-Efie System For Electromagnetic Simulation In Low Frequency Regime, Wen Jing Chen, Sheng Sun, Yang Liu, Lijun Jiang, Jun Hu
Improved A-Efie System For Electromagnetic Simulation In Low Frequency Regime, Wen Jing Chen, Sheng Sun, Yang Liu, Lijun Jiang, Jun Hu
Electrical and Computer Engineering Faculty Research & Creative Works
In this letter, the quasi-Helmholtz projectors are applied to address numerical cancellation of augmented electric field integral equation (A-EFIE). The projectors rescale the term overline {bf V} cdot i{k}_0{bf j} and right-hand side to guarantee that the solution is stable at very low frequency. The improved system is full rank without removing the singularity caused by charge neutrality. Compared to the EFIE with quasi-Helmholtz projectors, this letter presents a better convergence performance and takes less computational cost. The numerical results show that the solution of both scattering problems and circuit problems can ensure the accuracy in the low-frequency regime.
Sensitivity-Enhanced Fiber-Optic Sensor In A Microwave Photonics Fiber Loop Ringdown System, Chen Zhu, Yiyang Zhuang, Jie Huang
Sensitivity-Enhanced Fiber-Optic Sensor In A Microwave Photonics Fiber Loop Ringdown System, Chen Zhu, Yiyang Zhuang, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
In This Article We Report a Microwave Photonics Fiber Loop Ringdown (MWP-FLRD) Interrogated Fiber-Optic Sensor with Enhanced Sensitivity. a Section of a Single-Mode Fiber in the Fiber Loop is Macro-Bent into a Circular Ring as the Element Responsive to Displacement. When the Circular Ring is Subjected to External Displacement, the Transmission Loss of the Loop Changes, Resulting in a Change in the Ringdown Time of the MWP-FLRD System. to Enhance the Measurement Sensitivity, a Multi-Turn Structure is Proposed and Experimentally Demonstrated. Compared to the Traditional Time-Domain FLRD System, the MWP-FLRD System Employs a Frequency Domain Measurement, Showing a High Signal-To-Noise …
Machine Learning Assisted High-Sensitivity And Large-Dynamic-Range Curvature Sensor Based On No-Core Fiber And Hollow-Core Fiber, Chen Zhu, Yiyang Zhuang, Jie Huang
Machine Learning Assisted High-Sensitivity And Large-Dynamic-Range Curvature Sensor Based On No-Core Fiber And Hollow-Core Fiber, Chen Zhu, Yiyang Zhuang, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
Simultaneously Increasing the Sensitivity and Dynamic Range of an Optical Fiber Sensor is Desired and Yet Challenging. in This Article, We Demonstrate an Optical Fiber Curvature Sensor based on a No-Core Fiber (NCF) Cascaded with a Hollow-Core Fiber (HCF), Realizing Simultaneously High Sensitivity and a Large Dynamic Range with the Assistance of Machine Learning Analysis. the Sensor is Fabricated by Simply Fusion Splicing a Section of NCF and HCF to Two Single-Mode Fibers (SMFs), Forming the SMF-NCF-HCF-SMF Hybrid Structure. It is Shown that the Multimode Interference in the NCF Can Increase the Sensitivity of the Device for Curvature Measurements, Compared …
Nbt (No-Boundary Thinking): Needed To Attend To Ethical Implications Of Data And Ai, Joan Peckham, Andy Perkins, Tayo Obafemi-Ajayi, Xiuzhen Huang
Nbt (No-Boundary Thinking): Needed To Attend To Ethical Implications Of Data And Ai, Joan Peckham, Andy Perkins, Tayo Obafemi-Ajayi, Xiuzhen Huang
Electrical and Computer Engineering Faculty Research & Creative Works
In this era of Big Data and AI, expertise in multiple aspects of data, computing, and the domains of application is needed. This calls for teams of experts with different training and perspectives. Because data analysis can have serious ethical implications, it is important that these teams are well and deeply integrated. No-Boundary Thinking (NBT) teams can provide support for team formation and maintenance, thereby attending to the many dimensions of the ethics of data and analysis. In this NBT workshop session, we discuss the ethical concerns that arise from the use of data and AI, and the implications for …
Team Building Without Boundaries, Andy Perkins, Joan Peckham, Tayo Obafemi-Ajayi, Xiuzhen Huang
Team Building Without Boundaries, Andy Perkins, Joan Peckham, Tayo Obafemi-Ajayi, Xiuzhen Huang
Electrical and Computer Engineering Faculty Research & Creative Works
Team building can be challenging when participants are from the same discipline or sub-discipline, but needs special attention when participants use a different vocabulary and have different cultural views on what constitutes viable problems and solutions. Essential to No Boundary Thinking (NBT) teams is proper formulation of the problem to be solved, and a basic tenant is that the NBT team must come together with diverse perspectives to decide the problem before solutions can be considered. Given that participants come with different views on problem formulation and solution, it is important to consider a robust process for team formation and …
A Spice-Compatible Model To Simulate Rfi-Induced Buzz Noise Problem In A Camera, Wei Zhang, Shengxuan Xia, Xin Fang, Xu Wang, Takashi Enomoto, Hideki Shumiya, Kenji Araki, Chulsoon Hwang
A Spice-Compatible Model To Simulate Rfi-Induced Buzz Noise Problem In A Camera, Wei Zhang, Shengxuan Xia, Xin Fang, Xu Wang, Takashi Enomoto, Hideki Shumiya, Kenji Araki, Chulsoon Hwang
Electrical and Computer Engineering Faculty Research & Creative Works
This article proposed a SPICE-compatible model to fast simulate the buzz noise problem in a camera device. Based on the reciprocity theorem, the proposed SPICE-compatible model consists of cascaded scattering (S) parameters extracted from the field coupling. It can provide an accurate estimation of the buzz noise transfer function (TFtotal) between the radio-frequency antenna and the audio system within an average error of 1 dB. Besides, the proposed model allows for coupling decomposition by separating the audio system into different regions, fast buzz noise mitigation by adding filtering circuits, and fast antenna evaluation/selection by characterizing the TFtotal with different antenna …
Z-Source-Based High Step-Up Dc-Dc Converters For Photovoltaic Applications, Ramin Rahimi, Saeed Habibi, Mehdi Ferdowsi, Pourya Shamsi
Z-Source-Based High Step-Up Dc-Dc Converters For Photovoltaic Applications, Ramin Rahimi, Saeed Habibi, Mehdi Ferdowsi, Pourya Shamsi
Electrical and Computer Engineering Faculty Research & Creative Works
This article proposes three high step-up Z-source (ZS)-based dc-dc converters by integrating the conventional ZS network with switched-capacitor (SC) cells. The proposed converters offer a simple structure with a smooth input current, a high-voltage gain, and low voltage stress on the semiconductor devices. In addition, the proposed converters, unlike some existing ZS-based topologies in the literature, do not impose any limitation on the duty cycle of the power switch. These characteristics make the proposed converters excellent candidates to interface a low-voltage solar photovoltaic (PV) panel with a high-voltage dc bus in PV applications. Among the proposed three converters, the operating …
On The Sensitivity Of Microwave Fabry-Perot Interferometers For Displacement Detection, Chen Zhu, Rex E. Gerald, Jie Huang
On The Sensitivity Of Microwave Fabry-Perot Interferometers For Displacement Detection, Chen Zhu, Rex E. Gerald, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
Microwave Interferometers Have Been Attractive Devices for High-Precision Measurements of Displacement-Related Physical Quantities in a Variety of Scientific and Engineering Applications. However, Due to the Long Operating Wavelength, the Displacement Measurement Resolution of Microwave Interferometers is Limited to the Micrometer Scale. in This Article, We Propose and Demonstrate a Novel Technology based on Microwave Interferometry for Displacement Measurements with Potential Picometer Resolution. an Open-Ended (OE) Transmission Line Resonator based on a Homemade Hollow Coaxial Cable is Explored in Proof-Of-Concept Numerical and Experimental Investigations. the Technique Involves Two Stages of Displacement Sensitivity Amplification: One is the Open End-Based Phase Sensitivity Amplification, …
Source Reconstruction Of Electronic Circuits In Shielding Enclosures Based On Numerical Green's Function And Application In Electromagnetic Interference Estimation, Zi An Wang, Zhi Fei Xiao, Jun Fa Mao, Li (Lijun) Jun Jiang, Hakan Bagci, Ping Li
Source Reconstruction Of Electronic Circuits In Shielding Enclosures Based On Numerical Green's Function And Application In Electromagnetic Interference Estimation, Zi An Wang, Zhi Fei Xiao, Jun Fa Mao, Li (Lijun) Jun Jiang, Hakan Bagci, Ping Li
Electrical and Computer Engineering Faculty Research & Creative Works
In this work, to characterize the radiated emission from electronic circuits in shielding enclosure, an improved electric dipole-based source reconstruction method (SRM) is developed. Moreover, by resorting to this reconstructed equivalent source, the estimation of electromagnetic interference (EMI) between different circuit modules in the enclosure can be conveniently and accurately evaluated. Different from the free-space SRM, the equivalent dipoles of the proposed SRM are directly placed over the shielding box enclosed circuit board, and the numerical Green's function (NGF) is developed to bridge the connection between the equivalent dipoles and the planar scanned magnetic near-field. With the NGF strategy, the …
Transient Response Of Esd Protection Devices For A High-Speed I/O Interface, Jianchi Zhou, Yang Xu, Sergej Bub, Steffen Holland, Javad Soleiman Meiguni, David Pommerenke, Daryl G. Beetner
Transient Response Of Esd Protection Devices For A High-Speed I/O Interface, Jianchi Zhou, Yang Xu, Sergej Bub, Steffen Holland, Javad Soleiman Meiguni, David Pommerenke, Daryl G. Beetner
Electrical and Computer Engineering Faculty Research & Creative Works
System-efficient electrostatic discharge (ESD) design (SEED) models of a diode and transient voltage suppressor (TVS) were developed to study their transient response in a high-speed input/output interface. Previously reported SEED models were improved to strengthen their convergence stability and facilitate accurate predictions over a wide range of conditions. These improvements were required to accurately capture the race conditions between the TVS and on-chip diode, where the diode's turn on may prevent turn on of the TVS. Simulations and measurements were performed to demonstrate the impact of the ESD pulse's rise time on race conditions. During a race, results showed the …
Optimization Of High-Speed Channel For Signal Integrity With Deep Genetic Algorithm, Huan Huan Zhang, Zhao Sheng Xue, Xin Yi Liu, Ping Li, Lijun Jiang, Guang Ming Shi
Optimization Of High-Speed Channel For Signal Integrity With Deep Genetic Algorithm, Huan Huan Zhang, Zhao Sheng Xue, Xin Yi Liu, Ping Li, Lijun Jiang, Guang Ming Shi
Electrical and Computer Engineering Faculty Research & Creative Works
A deep genetic algorithm (GA) is proposed to optimize the high-speed channel for signal integrity. In the traditional genetic algorithm-based high-speed channel optimization method, the eye height and eye width of the eye diagram are obtained by eye diagram simulation based on the full-wave algorithm, which is computationally expensive. In this letter, a deep neural network (DNN) is trained to predict the eye diagram information corresponding to a set of given design parameters of the high-speed channel. This DNN is embedded into the genetic algorithm to carry out the evaluation operation, which can greatly accelerate the evaluation process. A high-speed …
Analytical Method For Joint Optimization Of Ffe And Dfe Equalizations For Multi-Level Signals, Nana Dikhaminjia, Mikheil Tsiklauri, Zurab Kiguradze, Jiayi He, Arun Chada, Bhyrav Mutnury, James L. Drewniak
Analytical Method For Joint Optimization Of Ffe And Dfe Equalizations For Multi-Level Signals, Nana Dikhaminjia, Mikheil Tsiklauri, Zurab Kiguradze, Jiayi He, Arun Chada, Bhyrav Mutnury, James L. Drewniak
Electrical and Computer Engineering Faculty Research & Creative Works
Channel equalization is the efficient method for recovering distorted signal and correspondingly reducing bit error rate (BER). Different type of equalizations, like feed forward equalization (FFE) and decision feedback equalization (DFE) are canceling channel effect and recovering channel response. Separate optimization of tap coefficients for FFE and DFE does not give optimal result. In this case FFE and DFE tap coefficients are found separately and they are not collaborating. Therefore, the final equalization result is not global optimal. In the present paper new analytical method for finding best tap coefficients for FFE and DFE joint equalization is introduced. The proposed …
Enhanced Supervised Descent Learning Technique For Electromagnetic Inverse Scattering Problems By The Deep Convolutional Neural Networks, He Ming Yao, Rui Guo, Maokun Li, Lijun Jiang, Michael Kwok Po Ng
Enhanced Supervised Descent Learning Technique For Electromagnetic Inverse Scattering Problems By The Deep Convolutional Neural Networks, He Ming Yao, Rui Guo, Maokun Li, Lijun Jiang, Michael Kwok Po Ng
Electrical and Computer Engineering Faculty Research & Creative Works
This work proposes a novel deep learning (DL) framework to solve the electromagnetic inverse scattering (EMIS) problems. The proposed framework integrates the complex-valued deep convolutional neural network (DConvNet) into the supervised descent method (SDM) to realize both off-line training and on-line 'imaging' prediction for EMIS. The offline training consists of two parts: 1) DConvNet training: the training dataset is created, and the proposed DConvNet is trained to realize the EM forward process and 2) SDM training: the trained DConvNet is integrated into the SDM framework, and the average descent directions between the initial prediction and the true label of SDM …
Huber Kalman Filter For Wi-Fi Based Vehicle Driver's Respiration Detection, Yang Yang, Yunlong Luo, Alex Qi, Ge Shi, Miao Miao, Jun Fan, Jianhua Ma, Yihong Qi
Huber Kalman Filter For Wi-Fi Based Vehicle Driver's Respiration Detection, Yang Yang, Yunlong Luo, Alex Qi, Ge Shi, Miao Miao, Jun Fan, Jianhua Ma, Yihong Qi
Electrical and Computer Engineering Faculty Research & Creative Works
The use of breath detection in vehicles can reduce the number of vehicular accidents caused by drivers in poor physical condition. Prior studies of contactless respiration detection mainly targeted a static person. However, there are emerging applications to sense a driver, with emphasis on contactless methods. For example, being able to detect a driver's respiration while driving by using a vehicular Wi-Fi system can significantly enhance driving safety. The sensing system can be mounted on the back of the driver's seat, and it can sense the tiny chest displacement of the driver via Wi-Fi signals. The body displacement and car …
A Millimeter-Wave Frequency-Reconfigurable Fabry-Pérot Cavity Antenna, Min Li, Muhammad Yasir Jamal, Xiaoqiang Li, Kwan Lawrence Yeung, Lijun Jiang, Tatsuo Itoh, Ross Murch
A Millimeter-Wave Frequency-Reconfigurable Fabry-Pérot Cavity Antenna, Min Li, Muhammad Yasir Jamal, Xiaoqiang Li, Kwan Lawrence Yeung, Lijun Jiang, Tatsuo Itoh, Ross Murch
Electrical and Computer Engineering Faculty Research & Creative Works
This letter introduces a method for implementing a frequency-reconfigurable Fabry-Pérot cavity (FPC) antenna utilizing polarization standing waves (PSWs). The PSW is supported by two metasurfaces (MSs) at cavity ends. The resonant condition allows the antenna to have frequency-reconfigurable characteristic by mechanically rotating the top MS around the center and relative to the bottom MS, without adjusting the physical dimension. The antenna is prototyped at 60 GHz for millimeter-wave applications. Simulated and measured results demonstrate that a tunable frequency range of 60.8-66.2 GHz with a maximum boresight gain of around 22.2 dBi can be attained, verifying the antenna concept.
Machine Learning Boosts Performance Of Optical Fiber Sensors: A Case Study For Vector Bending Sensing, Chen Zhu, Jie Huang
Machine Learning Boosts Performance Of Optical Fiber Sensors: A Case Study For Vector Bending Sensing, Chen Zhu, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
The Spectral Response Produced When a High-Sensitivity Optical Fiber Sensor (OFS) is Subject to an External Perturbation Has Recently Been Shown to Contain Rich Information that Can Be Potentially Exploited for Multi-Dimensional Sensing. in This Article, We Propose the Use of Machine Learning to Directly and Statistically Learn the Relation between the Complex Spectral Response from an OFS and a Measurand of Interest, Without Knowing If There Are Distinct and Tractable Features in the Spectrum. as a Proof-Of-Concept Demonstration, It is Shown that a Simple Heterostructure-Based Device with a Capillary Tube Sandwiched between Two Single-Mode Fibers Without Any Fiber Modification …
Adaptive Control Of Robotic Manipulators Using Deep Neural Networks, Irfan Ganie, Sarangapani Jagannathan
Adaptive Control Of Robotic Manipulators Using Deep Neural Networks, Irfan Ganie, Sarangapani Jagannathan
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, we present a lifelong deep learning-based control of robotic manipulators with nonstandard adaptive laws using singular value decomposition (SVD) based direct tracking error driven (DTED) approach. Moreover, we incorporate concurrent learning (CL) to relax persistency of excitation condition and elastic weight consolidation (EWC) for lifelong learning on different tasks in the adaptive laws. Simulation results confirm theoretical conclusions.
A Deep Learning Approach To Detect Blood Vessels In Basal Cell Carcinoma, A. Maurya, R. Joe Stanley, N. Lama, Sarangapani Jagannathan, D. Saeed, S. Swinfard, J. R. Hagerty, William V. Stoecker
A Deep Learning Approach To Detect Blood Vessels In Basal Cell Carcinoma, A. Maurya, R. Joe Stanley, N. Lama, Sarangapani Jagannathan, D. Saeed, S. Swinfard, J. R. Hagerty, William V. Stoecker
Electrical and Computer Engineering Faculty Research & Creative Works
Purpose: Blood vessels called telangiectasia are visible in skin lesions with the aid of dermoscopy. Telangiectasia are a pivotal identifying feature of basal cell carcinoma. These vessels appear thready, serpiginous, and may also appear arborizing, that is, wide vessels branch into successively thinner vessels. Due to these intricacies, their detection is not an easy task, neither with manual annotation nor with computerized techniques. In this study, we automate the segmentation of telangiectasia in dermoscopic images with a deep learning U-Net approach. Methods: We apply a combination of image processing techniques and a deep learning-based U-Net approach to detect telangiectasia in …