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Electrical and Computer Engineering Faculty Research & Creative Works

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Memristive Synaptic Device Based On A Natural Organic Material - Honey For Spiking Neural Network In Biodegradable Neuromorphic Systems, Brandon Sueoka, Feng Zhao Jun 2022

Memristive Synaptic Device Based On A Natural Organic Material - Honey For Spiking Neural Network In Biodegradable Neuromorphic Systems, Brandon Sueoka, Feng Zhao

Electrical and Computer Engineering Faculty Research & Creative Works

Spiking neural network (SNN) in future neuromorphic architectures requires hardware devices to be not only capable of emulating fundamental functionalities of biological synapse such as spike-timing dependent plasticity (STDP) and spike-rate dependent plasticity (SRDP), but also biodegradable to address current ecological challenges of electronic waste. Among different device technologies and materials, memristive synaptic devices based on natural organic materials have emerged as the favorable candidate to meet these demands. The metal-insulator-metal structure is analogous to biological synapse with low power consumption, fast switching speed and simulation of synaptic plasticity, while natural organic materials are water soluble, renewable and environmentally friendly. …

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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 Jun 2022

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 …

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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 Jun 2022

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, …

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Distributed Fiber Optic Sensing With Enhanced Sensitivity Based On Microwave-Photonic Vernier Effect, Chen Zhu, Muhammad Roman, Yiyang Zhuang, Jie Huang Jun 2022

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 …

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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 Jun 2022

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, …

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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 May 2022

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 …

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In‐Plane Si Microneedles: Fabrication, Characterization, Modeling And Applications, Abdulla Al Mamun, Feng Zhao May 2022

In‐Plane Si Microneedles: Fabrication, Characterization, Modeling And Applications, Abdulla Al Mamun, Feng Zhao

Electrical and Computer Engineering Faculty Research & Creative Works

Microneedles are getting more and more attention in research and commercialization since their advancement in the 1990s due to the advantages over traditional hypodermic needles such as minimum invasiveness, low material and fabrication cost, and precise needle geometry control, etc. The design and fabrication of microneedles depend on various factors such as the type of materials used, fabrication planes and techniques, needle structures, etc. In the past years, in‐plane and out‐of‐plane microneedle technologies made by silicon (Si), polymer, metal, and other materials have been developed for numerous biomedical applications including drug delivery, sample collections, medical diagnostics, and bio‐sensing. Among these …

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Design Of Wideband Decoupling Networks For Mimo Antennas Based On An N-Ary Optimization Algorithm, Min Li, Kwan Lawrence Yeung, Lijun Jiang, Ross Murch May 2022

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 …

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Plant Identification In A Combined-Imbalanced Leaf Dataset, Viraj K. Gajjar, Anand K. Nambisan, Kurt Louis Kosbar Apr 2022

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 …

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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 Apr 2022

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 …

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A Compact High-Isolation Wideband Three-Sector Linear Array, Sheng Wu, Lidong Chi, Fuhai Li, Francesco De Paulis, Yihong Qi Apr 2022

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 …

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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 Apr 2022

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 …

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An Accurate And Computationally Efficient Method For Battery Capacity Fade Modeling, D. M. Ajiboye, Jonathan W. Kimball, R.(Robert) G. Landers, John (T.) Park Mar 2022

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 …

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Event-Driven Off-Policy Reinforcement Learning For Control Of Interconnected Systems, Vignesh Narayanan, Hamidreza Modares, Sarangapani Jagannathan, Frank L. Lewis Mar 2022

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 …

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Heuristic-Based Automatic Pruning Of Deep Neural Networks, Tejalal Choudhary, Vipul Mishra, Anurag Goswami, Jagannathan Sarangapani Mar 2022

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. …

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Decoupling And Matching Network For Dual-Band Mimo Antennas, Min Li, Yujie Zhang, Di Wu, Kwan Lawrence Yeung, Lijun Jiang, Ross Murch Mar 2022

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 …

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Natural Biomaterial Honey-Based Resistive Switching Device For Artificial Synapse In Neuromorphic Systems, Brandon Sueoka, Kuan Yew Cheong, Feng Zhao Feb 2022

Natural Biomaterial Honey-Based Resistive Switching Device For Artificial Synapse In Neuromorphic Systems, Brandon Sueoka, Kuan Yew Cheong, Feng Zhao

Electrical and Computer Engineering Faculty Research & Creative Works

Resistive switching is a promising technology for artificial synapses, the most critical component and building block of a neural network for brain-inspired neuromorphic computing. The artificial synapse is capable of emulating a signal process and memory functions of biological synapses. The artificial synapse fabricated by natural bioorganic materials is essential for developing soft, flexible, and biocompatible electronics and sustainable, biodegradable, and environmentally friendly neuromorphic systems. In this work, a natural biomaterial - honey based resistive switching device - was demonstrated to emulate some important functionalities of biological synapses, including synaptic potentiation and depression, short-term and long-term memory, spatial summation, and …

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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 Feb 2022

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 …

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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 Feb 2022

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 …

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A Low-Profile Fabry-Pérot Cavity Antenna Using Anisotropic Metasurface, Muhammad Yasir Jamal, Min Li, Kwan Lawrence Yeung, Xiaoqiang Li, Lijun Jiang, Tatsuo Itoh Feb 2022

A Low-Profile Fabry-Pérot Cavity Antenna Using Anisotropic Metasurface, Muhammad Yasir Jamal, Min Li, Kwan Lawrence Yeung, Xiaoqiang Li, Lijun Jiang, Tatsuo Itoh

Electrical and Computer Engineering Faculty Research & Creative Works

A Fabry-Pérot cavity (FPC) antenna utilizing a new cavity resonance phenomenon based on the polarization standing wave (PSW) is proposed. To produce PSW, two anisotropic metasurfaces acting as the handedness preserving mirror are designed as the two ends of the cavity. Such a cavity possesses a new resonant condition, i.e., the relative rotation angle and distance between two metasurfaces together determine its resonant frequency. Hence, in comparison to conventional FPC antennas, the proposed one possesses a lower profile height of around 0.125 wavelengths. The antenna concept is experimentally demonstrated for the 12 GHz X-band application. Measurement results agree well with …

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A Statistical Mimo Channel Model For Reconfigurable Intelligent Surface Assisted Wireless Communications, Baiping Xiong, Zaichen Zhang, Hao Jiang, Hongming Zhang, Jiangfan Zhang, Liang Wu, Jian Dang Feb 2022

A Statistical Mimo Channel Model For Reconfigurable Intelligent Surface Assisted Wireless Communications, Baiping Xiong, Zaichen Zhang, Hao Jiang, Hongming Zhang, Jiangfan Zhang, Liang Wu, Jian Dang

Electrical and Computer Engineering Faculty Research & Creative Works

Reconfigurable intelligent surface (RIS) consisting of a large number of programmable near-passive units has been a hot topic in wireless communications due to its capability in providing smart radio environments to enhance the communication performance. However, the existing research are mainly based on simplistic channel models, which will, in principle, lead to inaccurate analysis of the system performance. In this paper, we propose a general three-dimensional (3D) wideband non-stationary end-to-end channel model for RIS assisted multiple-input multiple-output (MIMO) communications, which takes into account the physical properties of RIS, such as unit numbers, unit sizes, array orientations and array configurations. By …

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Study Of Synaptic Properties Of Honey Thin Film For Neuromorphic Systems, Brandon Sueoka, Kuan Yew Cheong, Feng Zhao Feb 2022

Study Of Synaptic Properties Of Honey Thin Film For Neuromorphic Systems, Brandon Sueoka, Kuan Yew Cheong, Feng Zhao

Electrical and Computer Engineering Faculty Research & Creative Works

Besides conventional electrical properties, materials for emerging artificial synaptic devices in brain-inspired neuromorphic systems need to have properties analogous to those of biological synapses, such as synaptic plasticity. In this work, we investigated, for the first time, the synaptic properties of a natural bio-organic material – honey. The honey film was sandwiched between Ag and ITO to form a structure resembling biological synapse. Neural facilitation, an essential synaptic plasticity, was demonstrated by honey thin film with a larger facilitation index, wider interval time range and higher dynamic filtering gain than other natural bio-organic materials. The results indicate that honey is …

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A Stub Equalizer For Bidirectional And Single-Ended Channels In Nand Memory Storage Device Systems, Taelim Song, Jongjoo Lee, Chulsoon Hwang Feb 2022

A Stub Equalizer For Bidirectional And Single-Ended Channels In Nand Memory Storage Device Systems, Taelim Song, Jongjoo Lee, Chulsoon Hwang

Electrical and Computer Engineering Faculty Research & Creative Works

In memory devices, such as solid-state drive, multitopology is used for interfaces where multiple memory packages are connected to a controller using a branched transmission line. Impedance mismatching caused by the branches and unwanted reflection from deactivated packages inevitably degrades signal quality, limiting the data rate of the interface. In this article, a simple stub equalizer is proposed to improve the data rate of the memory interface. An open-ended stub is placed between a transmitter and a receiver, and the length, impedance, and location of the stub line are determined to properly cancel the reflection from other branches. Parameters are …

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Efficient And Accurate Phase-Measurement Method For Core-Loss Characterization, Anfeng Huang, Jun Fan, Chulsoon Hwang Feb 2022

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 …

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Joint Bidding Decision Of Wind Farms And Energy Storage Based On Newsvendor Model, Xinyue Sun, Jian Liu, Meng Ou, Yanyan Liu Feb 2022

Joint Bidding Decision Of Wind Farms And Energy Storage Based On Newsvendor Model, Xinyue Sun, Jian Liu, Meng Ou, Yanyan Liu

Electrical and Computer Engineering Faculty Research & Creative Works

Currently, renewable energy generation has received more and more attention. This article focuses on wind energy generation, one of the renewable energy sources. Aiming at the intermittent and unpredictable wind power problems, according to the day ahead bidding mechanism in the power market, this paper introduces the energy storage system to maximize wind power merchants profit based on the newsvendor model. First, this paper focuses on the wind farms combined with storage system to put forward the optimal bidding decision of selling or buying electricity to the market one day in advance and the optimal bidding amount. Then, we analyze …

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An Intelligent Distributed Ledger Construction Algorithm For Iot, Charles Rawlins, Jagannathan Sarangapani Jan 2022

An Intelligent Distributed Ledger Construction Algorithm For Iot, Charles Rawlins, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

Blockchain is the next generation of secure data management that creates near-immutable decentralized storage. Secure cryptography created a niche for blockchain to provide alternatives to well-known security compromises. However, design bottlenecks with traditional blockchain data structures scale poorly with increased network usage and are extremely computation-intensive. This made the technology difficult to combine with limited devices, like those in Internet of Things networks. In protocols like IOTA, replacement of blockchain's linked-list queue processing with a lightweight dynamic ledger showed remarkable throughput performance increase. However, current stochastic algorithms for ledger construction suffer distinct trade-offs between efficiency and security. This work proposed …

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Optical Interferometric Force Sensor Based On A Buckled Beam, Yan Tang, Jing Guo, Yizheng Chen, Jie Huang Jan 2022

Optical Interferometric Force Sensor Based On A Buckled Beam, Yan Tang, Jing Guo, Yizheng Chen, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

This paper reports a novel extrinsic Fabry-Perot interferometer (EFPI)-based fiber optic sensor for force measurement. The prototype force sensor consists of two EFPIs mounted on a stainless-steel rectangular frame. The primary sensing element, i.e., the first EFPI, is formed between the endface of a horizontally placed optical fiber and a stainless-steel buckled beam. The second EFPI, fashioned between a longitudinally placed optical fiber and a silver-coated glass beam, is arranged to demonstrate the amplification mechanism of the buckled beam structure. When the sensor is subjected to a tension force, the pre-buckled beam will deflect backward, resulting in a longitudinal/axial displacement …

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Characteristic Mode Analysis Prediction And Guidance Of Electromagnetic Coupling Measurements To A Uav Model, Mohamed Z. M. Hamdalla, Benjamin Bissen, James D. Hunter, Yuanzhuo Liu, Victor Khilkevich, Daryl G. Beetner, Anthony N. Caruso, Ahmed M. Hassan Jan 2022

Characteristic Mode Analysis Prediction And Guidance Of Electromagnetic Coupling Measurements To A Uav Model, Mohamed Z. M. Hamdalla, Benjamin Bissen, James D. Hunter, Yuanzhuo Liu, Victor Khilkevich, Daryl G. Beetner, Anthony N. Caruso, Ahmed M. Hassan

Electrical and Computer Engineering Faculty Research & Creative Works

In this work, we study the current coupled to a simplified Unmanned Aerial Vehicle (UAV) model using a dual computational and experimental approach. The simplified surrogate structure reduced the computational burden and facilitated the experimental measurement of the coupled currents. For a practical system, a wide range of simulations and measurements must be performed to analyze the induced current variations with respect to properties of the incident excitation waveform, such as the frequency, angle of incidence, and polarization. To simplify this analysis, Characteristic Mode Analysis (CMA) was used to compute the eigen-currents of the UAV model and predict where and …

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An Interleaved High Step-Up Dc-Dc Converter Based On Integration Of Coupled Inductor And Built-In-Transformer With Switched-Capacitor Cells For Renewable Energy Applications, Ramin Rahimi, Saeed Habibi, Mehdi Ferdowsi, Pourya Shamsi Jan 2022

An Interleaved High Step-Up Dc-Dc Converter Based On Integration Of Coupled Inductor And Built-In-Transformer With Switched-Capacitor Cells For Renewable Energy Applications, Ramin Rahimi, Saeed Habibi, Mehdi Ferdowsi, Pourya Shamsi

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes an interleaved high step-up DC-DC converter with the coupled inductor (CI) and built-in transformer (BIT) for renewable energy applications. Two double-winding (2W) CIs and one triple-winding (3W) BIT are integrated with the switched-capacitor (SC) voltage multiplier cells (VMCs) to achieve high-voltage gains without extreme duty cycles. The CIs and BIT turns-ratios provide two other degrees of freedom -- in addition to the duty cycle -- to adjust the voltage gain that leads to increased design flexibility. The diodes turn off naturally under the zero-current switching (ZCS) conditions because their current falling rates are controlled by the leakage …

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A Deep Learning Approach To Design And Discover Sustainable Cementitious Binders: Strategies To Learn From Small Databases And Develop Closed-Form Analytical Models, Taihao Han, Sai Akshay Ponduru, Rachel Cook, Jie Huang, Gaurav Sant, Aditya Kumar Jan 2022

A Deep Learning Approach To Design And Discover Sustainable Cementitious Binders: Strategies To Learn From Small Databases And Develop Closed-Form Analytical Models, Taihao Han, Sai Akshay Ponduru, Rachel Cook, Jie Huang, Gaurav Sant, Aditya Kumar

Electrical and Computer Engineering Faculty Research & Creative Works

To reduce the energy-intensity and carbon footprint of Portland cement (PC), the prevailing practice embraced by concrete technologists is to partially replace the PC in concrete with supplementary cementitious materials [SCMs: geological materials (e.g., limestone); industrial by-products (e.g., fly ash); and processed materials (e.g., calcined clay)]. Chemistry and content of the SCM profoundly affect PC hydration kinetics; which, in turn, dictates the evolutions of microstructure and properties of the [PC + SCM] binder. Owing to the substantial diversity in SCMs' compositions-plus the massive combinatorial spaces, and the highly nonlinear and mutually-interacting processes that arise from SCM-PC interactions-state-of-the-art computational models are …

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