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Electrical and Computer Engineering Faculty Research & Creative Works

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Full-Text Articles in Engineering

Ship Detection And Tracking In Inland Waterways Using Improved Yolov3 And Deep Sort, Yang Jie, Lilianasimwe Leonidas, Farhan Mumtaz, Munsif Ali Feb 2021

Ship Detection And Tracking In Inland Waterways Using Improved Yolov3 And Deep Sort, Yang Jie, Lilianasimwe Leonidas, Farhan Mumtaz, Munsif Ali

Electrical and Computer Engineering Faculty Research & Creative Works

Ship detection and tracking is an important task in video surveillance in inland waterways. However, ships in inland navigation are faced with accidents such as collisions. For collision avoidance, we should strengthen the monitoring of navigation and the robustness of the entire system. Hence, this paper presents ship detection and tracking of ships using the improved You Only Look Once version 3 (YOLOv3) detection algorithm and Deep Simple Online and Real-time Tracking (Deep SORT) tracking algorithm. Three improvements are made to the YOLOv3 target detection algorithm. Firstly, the Kmeans clustering algorithm is used to optimize the initial value of the …

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Modeling And Analysis Of Microstrip Annular Ring Antenna With Capacitive Coupling Matching Network, Yan Li, Sheng Sun, Lijun Jiang, Buning Tian Feb 2021

Modeling And Analysis Of Microstrip Annular Ring Antenna With Capacitive Coupling Matching Network, Yan Li, Sheng Sun, Lijun Jiang, Buning Tian

Electrical and Computer Engineering Faculty Research & Creative Works

In this manuscript, microstrip annular ring antenna with capacitive coupling matching network is modeled and analyzed with equivalent circuit model and cavity model, which is simple and accurate for this structure. The proposed approach not only demonstrates physics lying behind the engineering design but also will be a good guideline for the microstrip annular ring antenna design. A prototype working UHF RFID band (902-928 MHz) is designed. Overall dimension of the proposed antenna is about 0.5λ0 x 0.5λ0 x 0.055λ0, and the realized gain is larger than 5 dB with axial ratio is smaller than 3 dB. The measured results …

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Decoupling Of Antennas With Adjacent Frequency Bands Using Cascaded Decoupling Network, Min Li, Min Wang, Lijun Jiang, Lawrence Kwan Yeung Feb 2021

Decoupling Of Antennas With Adjacent Frequency Bands Using Cascaded Decoupling Network, Min Li, Min Wang, Lijun Jiang, Lawrence Kwan Yeung

Electrical and Computer Engineering Faculty Research & Creative Works

This communication presents a novel decoupling device called a cascaded power dividing decoupling network (C-PDDN). It is cascaded with two antennas operating in adjacent or even contiguous frequency bands to reduce the mutual coupling. To achieve high isolations at n desired frequency points, an n -order C-PDDN can be accordingly designed. Each order PDDN consists of two power dividers (PDs), two sections of transmission lines, and one reactive component. Explicit design formulas are presented to calculate the design parameters of the C-PDDN to meet the required isolation criteria. To validate the decoupling concept, a two-order C-PDDN is designed and applied …

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Resistive Switching Behaviour In A Polymannose Film For Multistate Non-Volatile Memory Application, Ilias A. Tayeb, Feng Zhao, Jafri M. Abdullah, Kuan Y. Cheong Jan 2021

Resistive Switching Behaviour In A Polymannose Film For Multistate Non-Volatile Memory Application, Ilias A. Tayeb, Feng Zhao, Jafri M. Abdullah, Kuan Y. Cheong

Electrical and Computer Engineering Faculty Research & Creative Works

With the shift towards reducing electronic waste, bio-organic materials are considered as prominent alternatives due to their biodegradability and benign environmental impacts. Herein, polymannose is used to demonstrate resistive-switching characteristics with twelve distinctive and reliable memory states that were modulated by the compliance current at a READ voltage as low as −0.05 V.d-Mannose powder and ethanol were mixed to produce the precursor for the formation of a polymannose filmviadrop casting on an ITO/PET substrate and dried at 160 °C for different durations before an array of Ag was deposited as the top electrode. The optimal drying time of 7 h …

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Optimal Tracking Current Control Of Switched Reluctance Motor Drives Using Reinforcement Q-Learning Scheduling, Hamad Alharkan, Sepehr Saadatmand, Mehdi Ferdowsi, Pourya Shamsi Jan 2021

Optimal Tracking Current Control Of Switched Reluctance Motor Drives Using Reinforcement Q-Learning Scheduling, Hamad Alharkan, Sepehr Saadatmand, Mehdi Ferdowsi, Pourya Shamsi

Electrical and Computer Engineering Faculty Research & Creative Works

In this article, a novel Q-learning scheduling method for the current controller of a switched reluctance motor (SRM) drive is investigated. The Q-learning algorithm is a class of reinforcement learning approaches that can find the best forward-in-time solution of a linear control problem. An augmented system is constructed based on the reference current signal and the SRM model to allow for solving the algebraic Riccati equation of the current-tracking problem. This article introduces a new scheduled-Q-learning algorithm that utilizes a table of Q-cores that lies on the nonlinear surface of an SRM model without involving any information about the model …

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A Phewas Model Of Autism Spectrum Disorder, John Matta, Daniel Dobrino, Swade Howard, Dacosta Yeboah, Jonathan Kopel, Yasser El-Manzalawy, Tayo Obafemi-Ajayi Jan 2021

A Phewas Model Of Autism Spectrum Disorder, John Matta, Daniel Dobrino, Swade Howard, Dacosta Yeboah, Jonathan Kopel, Yasser El-Manzalawy, Tayo Obafemi-Ajayi

Electrical and Computer Engineering Faculty Research & Creative Works

Children with Autism Spectrum Disorder (ASD) exhibit a wide diversity in type, number, and severity of social deficits as well as communicative and cognitive difficulties. It is a challenge to categorize the phenotypes of a particular ASD patient with their unique genetic variants. There is a need for a better understanding of the connections between genotype information and the phenotypes to sort out the heterogeneity of ASD. In this study, single nucleotide polymorphism (SNP) and phenotype data obtained from a simplex ASD sample are combined using a PheWAS-inspired approach to construct a phenotype-phenotype network. The network is clustered, yielding groups …

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Modeling And Simulation Of Resistive Superconducting Fault Current Limiter In Pscad/Emtdc™, Fahd Hariri, Mariesa Crow Jan 2021

Modeling And Simulation Of Resistive Superconducting Fault Current Limiter In Pscad/Emtdc™, Fahd Hariri, Mariesa Crow

Electrical and Computer Engineering Faculty Research & Creative Works

Energy networks are facing significant challenges as the result of increasing electrical loads. To meet this rapid increase in demand for electricity, new generating units are being added to support the stability and reliability of the network. This change in network structure requires a comprehensive analysis of the effect of that increase on the protection system. Limiting the fault current to safe levels prevents replacing the high-cost network components that may be subjected to damage due to exceeding the rated short-circuit current values for which they were designed. A fault analysis often requires extensive modeling and simulation of the system, …

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On The Effect Of Design Parameters On Fringing Fields Of A Loop-Based Fss, Swathi Muthyala Ramesh, Mahboobeh Mahmoodi, Kristen M. Donnell Jan 2021

On The Effect Of Design Parameters On Fringing Fields Of A Loop-Based Fss, Swathi Muthyala Ramesh, Mahboobeh Mahmoodi, Kristen M. Donnell

Electrical and Computer Engineering Faculty Research & Creative Works

Frequency selective surfaces (FSSs) are periodic arrays of conductive elements that act as spatial filters of electromagnetic energy. FSSs have found recent application as sensors, filters, reflectors and radomes, amongst others. Often miniaturization techniques are used to improve the stability of the FSS to incident angle (of the excitation). However, due to the type of coupling (internal/self-vs. external/mutual with adjacent elements), some designs are more responsive to miniaturization techniques than others. Hence, this paper quantifies the effect of the ratios of inter-element spacing-to-substrate thickness (S/h) and side length-to-substrate thickness (SL/h) on fringing fields (and hence coupling and potential for miniaturization) …

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An Interleaved Quadratic High Step-Up Dc-Dc Converter With Coupled Inductor, Ramin Rahimi, Saeed Habibi, Mehdi Ferdowsi, Pourya Shamsi Jan 2021

An Interleaved Quadratic High Step-Up Dc-Dc Converter With Coupled Inductor, Ramin Rahimi, Saeed Habibi, Mehdi Ferdowsi, Pourya Shamsi

Electrical and Computer Engineering Faculty Research & Creative Works

A new high step-up DC-DC converter for renewable energy applications is proposed in this paper. Employing an interleaved quadratic structure, two two-winding coupled inductors (CIs), and voltage multiplier cells (VMCs), the proposed converter can provide high-voltage gains, continuous input current with low ripple, reduced voltage stresses on semiconductors, common ground between input and output sides, and low numbers of components. In addition, diode-capacitor lossless clamp circuits are utilized to limit the voltage stresses of the power switches and further extend the voltage gain. The operating and steady-state analyses, design considerations, and a comparison with other previously published high step-up converters …

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Artificial Neural Networks For Asymmetric Selective Harmonic Current Mitigation-Pwm In Active Power Filters To Meet Power Quality Standards, Amirhossein Moeini, Morteza Dabbaghjamanesh, Jonathan W. Kimball, Jie Zhang Jan 2021

Artificial Neural Networks For Asymmetric Selective Harmonic Current Mitigation-Pwm In Active Power Filters To Meet Power Quality Standards, Amirhossein Moeini, Morteza Dabbaghjamanesh, Jonathan W. Kimball, Jie Zhang

Electrical and Computer Engineering Faculty Research & Creative Works

The main objective of an active power filter (APF) is to control the harmonics of nonlinear loads in power systems. In addition, the reactive power (fundamental component of the AC power) at the point of common coupling (PCC) can be compensated by using an APF. This paper investigates a technique for the modulation technique of the active power filters. Using the artificial neural network (ANN) technique, real-time fundamental and harmonic compensations can be achieved for the low-frequency modulation techniques such as asymmetric selective harmonic elimination/mitigation-pulse width modulation (ASHE/ASHM-PWM) and asymmetric selective harmonic current mitigation-PWM (ASHCM-PWM). This means that different phases …

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Using Gated Recurrent Units For Selective Harmonic Current Mitigation-Pwm In Grid-Tied Cascaded H-Bridge Converters, Morteza Dabbaghjamanesh, Amirhossein Moeini, Jonathan Kimball, Jie Zhang Jan 2021

Using Gated Recurrent Units For Selective Harmonic Current Mitigation-Pwm In Grid-Tied Cascaded H-Bridge Converters, Morteza Dabbaghjamanesh, Amirhossein Moeini, Jonathan Kimball, Jie Zhang

Electrical and Computer Engineering Faculty Research & Creative Works

Grid-tied converters become more popular for electric vehicle, renewable energy, and energy storage systems applications. Different modulation techniques such as low-frequency (e.g., selective harmonic elimination-PWM, selective harmonic mitigation-PWM, and selective harmonic current mitigation-PWM (SHCM-PWM)) and high-frequency modulation techniques (e.g., phase shift-PWM and space vector modulation) are used in the literature for grid-tied converters. Low-frequency modulation techniques have a high-efficiency due to the low-switching power losses. One of the main challenges of low-frequency modulation techniques such as SHCM-PWM is how to implement the proposed technique in real-time, due to the transcendental Fourier equations of SHCM-PWM. In this paper, a deep learning …

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Sizing Energy Storage System For Energy Arbitrage In Extreme Fast Charging Station, Waqas Ur Rehman, Rui Bo, Hossein Mehdipourpicha, Jonathan W. Kimball Jan 2021

Sizing Energy Storage System For Energy Arbitrage In Extreme Fast Charging Station, Waqas Ur Rehman, Rui Bo, Hossein Mehdipourpicha, Jonathan W. Kimball

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes a non-linear programming (NLP) model to optimally size the energy storage system (ESS) and obtain an optimal energy management for energy arbitrage of an extreme fast charging station (XFCS) for electric vehicles (EVs), with minimized total cost of XFCS operation and ESS investment. Different from most reported work on sizing the ESS for EV charging stations, this paper proposes a pragmatic approach to model the ESS life degradation and accurately count the ESS cycles. Moreover, this work incorporates the peak demand charges in the operational cost of the charging station which are often overlooked in the literature. …

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Fpga-Based Scalable Road Image Stochastic Denosing Approach, Cheolhyeong Park, Kyung Ki Kim, Yong Bin Kim, Minsu Choi Jan 2021

Fpga-Based Scalable Road Image Stochastic Denosing Approach, Cheolhyeong Park, Kyung Ki Kim, Yong Bin Kim, Minsu Choi

Electrical and Computer Engineering Faculty Research & Creative Works

This work proposes FPGA-based stochastic computing for efficient and scalable road image stochastic denoising. Stochastic number generators were compared for fields requiring data reliability such as automotive vehicles. The denoising performance of PRNG (Pseudo-Random Number Generator) and LDSG (Low Discrepancy Sequence Generator) are showed in noised KETTI dataset with filtering algorithms. The proposed approach is expected to be easily applied to SoCs with embedded FPGA for lightweight embedded implementation of image denoising algorithms.

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A Time-Domain Computing-In-Memory Micro Using Ring Oscillator, Yixuan He, Minsu Choi, Kyung Ki Kim, Yong Bin Kim Jan 2021

A Time-Domain Computing-In-Memory Micro Using Ring Oscillator, Yixuan He, Minsu Choi, Kyung Ki Kim, Yong Bin Kim

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes a novel time-domain computing-in-memory core that implements XNOR-And-Accumulate (XAC) of XNOR network in 8T SRAM cell. This new technique uses an inverter-based ring oscillator to generate periodic waves whose period represents the accumulation result of the input XNOR values. The circuit is built and simulated using PTM16_HP 16nm CMOS model with a 0.7V power supply. The results show correct functionality, a large signal margin and 463 TOPS/W efficiency. With further exploration, the time-domain computation could be a new candidate for in-memory computing since it has its own superiorities in comparison to mixed-signal or digital methods.

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High-Frequency Modeling Of Permanent Magnet Synchronous Motor Considering Internal Imbalances, Yuandong Guo, Muqi Ouyang, Zhifei Xu, Minho Kim, Junesang Lee, Jungrae Ha, Hyewon Lee, Sangwon Yun, Jun Fan, Hongseok Kim Jan 2021

High-Frequency Modeling Of Permanent Magnet Synchronous Motor Considering Internal Imbalances, Yuandong Guo, Muqi Ouyang, Zhifei Xu, Minho Kim, Junesang Lee, Jungrae Ha, Hyewon Lee, Sangwon Yun, Jun Fan, Hongseok Kim

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, an accurate high-frequency modeling methodology for a permanent magnet synchronous motor (PMSM) in a vehicular electrical braking system is presented, which is suitable for analyzing various electromagnetic interference problems caused by a motor drive system. The proposed modeling approach is established according to the vector fitting technique and based on the S-parameter measurements of the PMSM. The equivalent circuit model of the PMSM converted from a measured S-parameter matrix can better describe the impedance characteristics of the three-phase PMSM under study compared to the existing equivalent circuit models because the imbalances inside the motor are taken into …

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Partial Arc Sampling Receiving Scheme For Demultiplexing Of Orbital Angular Momentum Vortex Beam, Yanming Zhang, Lijun Jiang Jan 2021

Partial Arc Sampling Receiving Scheme For Demultiplexing Of Orbital Angular Momentum Vortex Beam, Yanming Zhang, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

Due to the divergence of the orbital angular momentum (OAM) beam, the OAM demultiplexing needs a considerable aperture size to acquire the OAM field information, which brings the challenges to implementation of the receiving end. To tackle this issue, we develop a partial arc sampling receiving (PASR) scheme for demultiplexing of the vortex beams by using the augmented dynamic mode decomposition (A-DMD) approach. Simulation benchmarks are provided to demonstrate the validity of the proposed novel demultiplexing method.

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Multi-Polarization Phase Retrieval In Near Field Far-Field Transformation, Yuan Ping, Lijun Jiang Jan 2021

Multi-Polarization Phase Retrieval In Near Field Far-Field Transformation, Yuan Ping, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

In near field far-field transformation (NFFFT), accurate recovery of the current distribution is subjected to the phase measurement. Phase retrieval is an alternative way to recover the current distribution by utilizing the magnitude-only near field sampling data. In phase retrieval algorithm, sufficient independent measurement data are required. Multi-polarization algorithm is employed to generate different current distribution, then, obtaining more independent near field data. Experimental validations of a numeric examples show its potentialities and interest.

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Quality-Of-Service Architecture For Cloud Computing Networking, Ken R. Owens Jr., Steve Eugene Watkins Jan 2021

Quality-Of-Service Architecture For Cloud Computing Networking, Ken R. Owens Jr., Steve Eugene Watkins

Electrical and Computer Engineering Faculty Research & Creative Works

Quality-of-service (QoS) performance is an important consideration for real-time and high-priority traffic on internet protocol (IP) networks. Service differentiation can provide a more efficient and customer-oriented internet. The “best-effort” internet models in use today cannot provide guarantees or service differentiation for end-to-end individual and aggregate data flows. Hardware-based models and software-based models do not completely address the total service-enabled solution. We propose a hybrid architecture that combines software and hardware features to handle network traffic with diverse QoS requirements. Since cloud providers leverage IP networks today, the model is based on a systems engineering approach that uses cloud computing technologies. …

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Optimal Bidding Strategy For Physical Market Participants With Virtual Bidding Capability In Day-Ahead Electricity Markets, Hossein Mehdipourpicha, Rui Bo Jan 2021

Optimal Bidding Strategy For Physical Market Participants With Virtual Bidding Capability In Day-Ahead Electricity Markets, Hossein Mehdipourpicha, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

Virtual bidding provides a mechanism for financial players to participate in wholesale day-ahead (DA) electricity markets. The price difference between DA and real-time (RT) markets creates financial arbitrage opportunities for financial players. Physical market participants (MP), referred to as participants with physical assets, can also take advantage of virtual bidding but in a different way, which is to further amplify the value of their physical assets. Therefore, this work proposes a model for such physical MPs to maximize the profits. This model employs a bi-level optimization approach, where the upper-level subproblem maximizes the total profit from both physical generations and …

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Data-Driven Identification Of Governing Partial Differential Equations For The Transmission Line Systems, Yanming Zhang, Lijun Jiang Jan 2021

Data-Driven Identification Of Governing Partial Differential Equations For The Transmission Line Systems, Yanming Zhang, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

Discovering governing equations for transmission line is essential for the study on its properties, especially when the nonlinearity is introduced in a transmission line system. In this paper, we propose a novel data-driven approach for deriving the governing partial differential equations based on the spatial-temporal samples of current and voltage in the transmission line system. The proposed method is based on the ridge regression algorithm to determine the active spatial differential terms from the candidate library that includes nonlinear functions, in which the time and spatial derivatives are estimated by using polynomial interpolation. Three examples, including uniform and nonuniform transmission …

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Decoupling Of Antennas With Adjacent Frequency Bands, Min Li, Lijun Jiang, Lawrence Kwan Yeung Jan 2021

Decoupling Of Antennas With Adjacent Frequency Bands, Min Li, Lijun Jiang, Lawrence Kwan Yeung

Electrical and Computer Engineering Faculty Research & Creative Works

A decoupling device called cascaded power dividing decoupling network (C-PDDN) is presented for two antennas operating in adjacent frequency bands. Design formulas are derived to determine parametrical variables for high isolation. A prototype of a testing array consisting of two base-station dipole antennas is realized on a Rogers PCB for demonstration purposes. Simulated and experimental results show that good impedance matching, and high isolation are achieved simultaneously after adopting the C-PDDN.

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Microsphere Photolithography Patterned Nanohole Array On An Optical Fiber, Ibrahem Jasim, Jiayu Liu, Chen Zhu, Muhammad Roman, Jie Huang, Edward Kinzel, Mahmoud Almasri Jan 2021

Microsphere Photolithography Patterned Nanohole Array On An Optical Fiber, Ibrahem Jasim, Jiayu Liu, Chen Zhu, Muhammad Roman, Jie Huang, Edward Kinzel, Mahmoud Almasri

Electrical and Computer Engineering Faculty Research & Creative Works

Microsphere Photolithography (MPL) is a nanopatterning technique that utilizes a self-assembled monolayer of microspheres as an optical element to focus incident radiation inside a layer of photoresist. The microspheres produces a sub-diffraction limited photonic-jet on the opposite side of each microsphere from the illumination. When combined with pattern transfer techniques such as etching/lift-off, MPL provides a versatile, low-cost fabrication method for producing hexagonal close-packed metasurfaces. This article investigates the MPL process for creating refractive index (RI) sensors on the cleaved tips of optical fiber. The resonant wavelength of metal elements on the surface is dependent on the local dielectric environment …

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Hybrid Beamforming With Deep Learning For Large-Scale Antenna Arrays, Rentao Hu, Lijun Jiang, Ping Li Jan 2021

Hybrid Beamforming With Deep Learning For Large-Scale Antenna Arrays, Rentao Hu, Lijun Jiang, Ping Li

Electrical and Computer Engineering Faculty Research & Creative Works

The emergence of highly directional beamforming technology makes millimeter wave frequency band communication possible in future wireless communication networks. Based on the multipath characteristics of millimeter wave frequency communication, a high-precision multipath channel estimation algorithm based on signal subspace is proposed. In the mobile terminal, an iterative heuristic radiofrequency combination algorithm based on spatial points is proposed. The analog precoding at the base station uses deep learning to accelerate the calculation, and then the multi-user communication is modeled to design the digital precoding. The simulation results show that the multi-channel estimation algorithm can estimate 4 paths with an error of …

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Design Of Dual-Band Decoupling Network For Two Antennas, Min Li, Lijun Jiang, Kwan Lawrence Yeung Jan 2021

Design Of Dual-Band Decoupling Network For Two Antennas, Min Li, Lijun Jiang, Kwan Lawrence Yeung

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a dual-band decoupling network for two antennas. Design formulas are derived with systematic design procedures. Two benchmarks are presented to elaborate on the design procedure. Results show that the network offers impedance matching, high isolation, and high efficiency at both frequencies, verifying the proposed concept and theory.

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Model Computation With Second-Order Radiative Transfer Equation For Snow Medium Using Coupled Finite Element Method And Method Of Moment And Relaxed Hierarchical Equivalent Source Algorithm, Hamsalekha A. Kumaresan, H. T. Ewe, Gobi Vetharatnam, Li (Lijun) Jun Jiang Jan 2021

Model Computation With Second-Order Radiative Transfer Equation For Snow Medium Using Coupled Finite Element Method And Method Of Moment And Relaxed Hierarchical Equivalent Source Algorithm, Hamsalekha A. Kumaresan, H. T. Ewe, Gobi Vetharatnam, Li (Lijun) Jun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

Active microwave remote sensing is essential to monitor the conditions of the environment by analyzing the microwave returns from the earth terrain. Various Computational Electromagnetics (CEM) techniques are implemented to study the backscattering coefficient of numerous earth terrains such as vegetation and snow medium. In this paper, a theoretical model based on second order radiative transfer equation is investigated by incorporating two computational methods which are known as coupled Finite Element Method (FEM) and Method of Moment (MoM), and Relaxed Hierarchical Equivalent Source Algorithm (RHESA). These theoretical models consider three shapes of scatterers which can be used to represent the …

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Review On Resistive Switching Mechanisms Of Bio-Organic Thin Film For Non-Volatile Memory Application, Kuan Yew Cheong, Ilias Ait Tayeb, Feng Zhao, Jafri Malin Abdullah Jan 2021

Review On Resistive Switching Mechanisms Of Bio-Organic Thin Film For Non-Volatile Memory Application, Kuan Yew Cheong, Ilias Ait Tayeb, Feng Zhao, Jafri Malin Abdullah

Electrical and Computer Engineering Faculty Research & Creative Works

Bio-organic, as one of the sustainable and bioresorbable materials, has been used as an active thin film in producing resistive switching random access memory (RRAM) due to its specialized properties. This type of nonvolatile memory consists of a simple unit structure with the processed and solidified bio-organic-based thin film sandwiched between two electrodes. Its memory characteristics are significantly affected by the resistive-switching mechanism. However, to date, the reported mechanisms are very diverse and scattered, and to our best knowledge, there is no literature that reviewed comprehensively the mechanisms of resistive switching in bio-organic-based thin films. Therefore, the objective of this …

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Novel Transformer With Variable Leakage And Magnetizing Inductances, Angshuman Sharma, Jonathan W. Kimball Jan 2021

Novel Transformer With Variable Leakage And Magnetizing Inductances, Angshuman Sharma, Jonathan W. Kimball

Electrical and Computer Engineering Faculty Research & Creative Works

This paper introduces the concept of a novel variable inductance transformer (VIT) whose leakage and magnetizing inductances can be varied dynamically and independently to aid the advancement of research in isolated power electronic converters. In this transformer, the leakage inductance can be varied by varying the length of overlap between the primary and secondary windings, while the magnetizing inductance can be varied by varying the air gap between the core legs. Individual controls for the two inductances ensure that one can be varied independent of the other, as needed to satisfy different power conversion objectives. In this paper, the analytical …

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Small-And Large-Scale Strain Sensing Using Frequency Selective Surfaces, Swathi Muthyala Ramesh, Kristen M. Donnell Jan 2021

Small-And Large-Scale Strain Sensing Using Frequency Selective Surfaces, Swathi Muthyala Ramesh, Kristen M. Donnell

Electrical and Computer Engineering Faculty Research & Creative Works

Frequency selective surfaces (FSSs) are arrays of conductive elements or patches that have specific reflection and transmission responses. In this work, an FSS sensor designed to measure small (0% - 0.5%) and large (0% - 5%) scale strain is presented. The proposed unit cell of the sensor consists of two passive dipoles (of different dimensions) arranged normal to one another. This was done to reduce the error of small-scale strain on the large-scale strain measurement, and vice versa. Strain sensing is achieved by monitoring the change in the resonant frequencies of the two dipoles using an interrogating signal linearly polarized …

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Multidimensional Extensions To Generalized Averaged Models For Multi-Frequency-Excited Dynamic Systems, Kartikeya Jayadurga Prasad Veeramraju, Jonathan W. Kimball Jan 2021

Multidimensional Extensions To Generalized Averaged Models For Multi-Frequency-Excited Dynamic Systems, Kartikeya Jayadurga Prasad Veeramraju, Jonathan W. Kimball

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel Harmonic Axis Decoupling (HAD) method is proposed for extending the capabilities of the Generalized Averaged Modeling (GAM) technique. The conventional GAM technique is first revisited, and the problems encountered in the multiplication of two Double Fourier Series (DFS) signals in the time domain are investigated. The method of translating Fourier vectors to Discrete Fourier Images (DFI) in the frequency plane is proposed, and the ramifications of this conversion on DFS product terms in the time domain are investigated. The two-dimensional DFI convolution technique resulting from HAD is used for the dynamic modeling of power converters …

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Developing Optimal Energy Arbitrage Strategy For Energy Storage System Using Reinforcement Learning, Haotian Chen, Rui Bo, Waqas Ur Rehman Jan 2021

Developing Optimal Energy Arbitrage Strategy For Energy Storage System Using Reinforcement Learning, Haotian Chen, Rui Bo, Waqas Ur Rehman

Electrical and Computer Engineering Faculty Research & Creative Works

This paper introduced a reinforcement learning based method for developing operational strategy for an energy storage system (ESS) to achieve energy arbitrage in a microgrid or power system. In comparison to conventional energy resources such as gas turbines units or wind plant, it is more challenging to design an optimal strategy for ESS because of their limited energy and the impact of future electricity prices. The energy arbitrage problem also presents unique challenges than the economic dispatch problem because the ESS owner has very limited information of the system compared to those available to grid operators. In this work, reinforcement …

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