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International Conference on High Voltage engineering and Application, ICHVE

作者： K. F. Evgenidis E. D. Ellinas C. A. Christodoulou I. F. Gonos High Voltage Laboratory School of Electrical and Computer Engineering National Technical University of Athens Athens Greece

ISBN: (数字)9781665407502

ISBN: (纸本)9781665407519

The efficient performance of the grounding systems in power distribution networks is a key factor for the adequate operation of the protective schemes, in an effort to ensure the restriction of the developed potentials and the protection of the personnel and the equipment. However, the rapid growth of grid - connected Distributed Generation (DG), during the last decade, has changed the operational characteristics of the distribution networks, making necessary the re-design of its' protection schemes. In this context, the role of the grounding systems has to further been investigated, taking into consideration the distributed generation. In the current work, the performance of multiple variations of a grounding system of a typical overhead Medium Voltage (MV) power line embedded with Distribution Generation (DG) will be studied, under various scenarios and comparative analysis, by using appropriate charts, will be carried out. Due to lack of standardization regarding the design and operation of grounding systems in overhead MV power lines, the extracted results aim to provide guidance on the optimal, in terms of safety and techno-economic criteria, design of a grounding system of distribution networks by studying the impact of various parameters (soil structure, fault current magnitude, fault clearing times etc.).

关键词： Resistance Performance evaluation Earth Grounding Medium voltage Soil Conductivity

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Loss-induced phase transition in mid-infrared plasmonic metamaterials for ultrasensitive vibrational spectroscopy

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InfoMat 2022年第12期4卷 85-102页

作者： Hong Zhou Dongxiao Li Zhihao Ren Xiaojing Mu Chengkuo Lee Department of Electrical and Computer Engineering National University of SingaporeSingaporeSingapore Key Laboratory of Optoelectronic Technology&Systems of Ministry of Education International R&D center of Micro-nano Systems and New Materials TechnologyChongqing UniversityChongqingPeople's Republic of China Center for Intelligent Sensors and MEMS(CISM) National University of SingaporeSingaporeSingapore National University of Singapore Suzhou Research Institute(NUSRI) SuzhouPeople's Republic of China NUS Graduate School—Integrative Sciences and Engineering Programme(ISEP) National University of SingaporeSingaporeSingapore

Metamaterials have proven their ability to possess extraordinary physical properties distinct from naturally available materials,leading to exciting sensing functionalities and ***,metamaterial-based sensing applications suffer from severe performance limitations due to noise interference and design ***,we propose a dual-phase strategy that leverages loss-induced different Fano-resonant phases to access both destructive and constructive signals of molecular *** the two reverse signals are innovatively combined,the noise in the detection system is effectively suppressed,thereby breaking through the noise-related ***,by utilizing loss optimization of the plasmon-molecule coupling system,our dual-phase strategy enhances the efficiency of infrared energy transfer into the molecule without any additional fabrication complex,thereby overcoming the trade-off dilemma between performance and fabrication *** to the pioneering breakthroughs in the limitations,our dual-phase strategy possesses an overwhelming competitive advantage in ultrasensitive vibrational spectroscopy over traditional metamaterial technology,including strong signal strength(×4),high sensitivity(×4.2),effective noise suppression(30%),low detection limit(13 ppm),and excellent selectivity among CO_(2),NH_(3),and CH_(4) *** work not only opens the door to various emerging ultrasensitive detection applications,including ultrasensitive in-breath diagnostics and high-information analysis of molecular information in dynamic reactions,but also gains new insights into the plasmon-molecule interactions in advanced metamaterials.

关键词： Fano resonance IR vibrational spectroscopy metamaterials phase transition ultrasensitive sensing

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Machine learning in polymer informatics

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InfoMat 2021年第4期3卷 353-361页

作者： Wuxin Sha Yan Li Shun Tang Jie Tian Yuming Zhao Yaqing Guo Weixin Zhang Xinfang Zhang Songfeng Lu Yuan-Cheng Cao Shijie Cheng State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhanChina Shenzhen Power Supply Col.Ltd. ShenzhenChina School of Computer Science and Technology Huazhong University of Science and TechnologyWuhanChina

Polymers have been widely used in energy storage,construction,medicine,aerospace,and so ***,the complexity of chemical composition and morphology of polymers has brought challenges to their *** to the integration of machine leaming algorithms and large data resources,the data-driven methods have opened up a new road for the development of poly-mer science and *** emerging polymer informatics attempts to accelerate the performance prediction and process optimization of new poly-mers by using machine learning models based on reliable *** the grad-ual supplement of currently available databases,the emergence of new databases and the continuous improvement of machine learning algorithms,the research paradigm of polymer informatics will be more efficient and widely *** on these points,this paper reviews the development trends of machine learning assisted polymer informatics and provides a simple introduc-tion for researchers in materials,artificial intelligence,and other fields.

关键词： polymer learning artificial

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A new family of binary sequences with low correlation via elliptic curves

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IEEE Transactions on Information Theory 2025年

作者： Jin, Lingfei Ma, Liming Xing, Chaoping Zhu, Runtian Fudan University Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Shanghai200433 China State Key Laboratory of Cryptology Beijing100878 China University of Science and Technology of China School of Mathematical Sciences Hefei230026 China Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering Shanghai200240 China

In the realm of modern digital communication, cryptography, and signal processing, binary sequences with good correlation properties play a pivotal role. In the literature, considerable efforts have been dedicated to constructing good binary sequences of various lengths. As a consequence, numerous constructions of good binary sequences have been put forward. However, the majority of known constructions leverage the multiplicative cyclic group structure of finite fields Fpn, where p is a prime and n is a positive integer. Recently, the authors made use of the cyclic group structure of all rational places of the rational function field over the finite field F pn, and firstly constructed good binary sequences of length pn + 1 via cyclotomic function fields over Fpn for any prime p [8], [10]. This approach has paved a new way for constructing good binary sequences. Motivated by the above constructions, we exploit the cyclic group structure of rational points of elliptic curves to design a family of binary sequences of length 2n+1+t with low correlation for many given integers |t| ⩽ 2(n+2)/2. Specifically, for any positive integer d with gcd(d;2n+ 1 + t) = 1, we introduce a novel family of binary sequences of length 2n+ 1 + t, size qd−1 − 1, correlation bounded by (2d + 1) · 2(n+2)/2 + |t|, and large linear complexity via elliptic curves. © 1963-2012 IEEE.

关键词： Rational functions

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Channel Phase Nonreciprocity Compensation for Space-Frequency Line Coded OFDM systems

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IEEE Access 2025年 13卷 104301-104311页

作者： Han-Gyeol Lee Jihoon Choi Juyeop Kim Koichi Adachi Yue Xiao Jingon Joung School of Electrical and Electronics Engineering Chung-Ang University Seoul South Korea School of Electronics and Information Engineering Korea Aerospace University Goyang Gyeonggi-do South Korea Department of Electrical Engineering Sookmyung Women’s University Seoul South Korea Department of Information and Computer Science Keio University Yokohama Japan National Key Laboratory of Wireless Communications University of Electronic Science and Technology of China Chengdu China

This paper investigates the impact of phase nonreciprocity in space-frequency line code-orthogonal frequency-division multiplexing (SFLC-OFDM) systems, leading to significant performance degradation due to non-ideal multi-channel radio-frequency transceivers. A novel demodulation reference signal (DMRS) structure with phase rotation is proposed to address this challenge, enabling effective phase nonreciprocity compensation. To compensate for the channel phase nonreciprocity, the user equipment, as the uplink (UL) transmitter, estimates the downlink (DL) phase offset (PO) and then embeds this offset information into the phase of UL DMRS sequences. The base station, as the UL receiver, extracts the embedded DL PO and estimates the UL PO from the received DMRS sequences. The DL and UL PO values are then used at the base station to compensate for phase discrepancies between the UL and DL channels during the UL channel estimation process. Extensive numerical simulations across various system parameters validate the effectiveness of the proposed method in mitigating phase nonreciprocity and ensuring reliable SFLC-OFDM performance.

关键词： Antennas Symbols Transmitting antennas Channel estimation Demodulation Phase locked loops Decoding Codes Receivers Radio frequency

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Dynamic State Estimation-Based Protection for Induction Motor Loads

Dynamic State Estimation-Based Protection for Induction Moto...

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2022 North American Power Symposium, NAPS 2022

作者： Barnes, Arthur K. Basu, Sarbajit Mate, Adam Advanced Network Science Initiative at Los Alamos National Laboratory Los AlamosNM87545 United States New Mexico State University Klipsch School of Electrical and Computer Engineering Las CrucesNM88003 United States

ISBN: (纸本)9781665499217

Ensuring protective device coordination is critical to maintain the resilience and improve the reliability of large microgrids. Inverter-interfaced generation, however, poses significant challenges when designing protection systems. Traditional time-overcurrent protective devices are unsuitable on account of the lack of fault current. Present industry practice is to force all inverters to shut down during faults, which prevents large microgrids from operating in a resilient and reliable manner. Dynamic state estimation (DSE) has been proposed for line protection, and more recently for the protection of load buses or downstream radial portions of microgrids. However, only passive loads with series resistive-inductive loads have been tested with DSE, even though the behavior of dynamic loads - such as induction motors or power electronics - may differ significantly during faults. This paper considers the case of applying DSE to protecting a load bus serving a three-phase induction motor. © 2022 IEEE.

关键词： Electric power distribution

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Enhancing memristor performance with 2D SnO_(x)/SnS_(2) heterostructure forneuromorphic computing

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Science China Materials 2025年第2期68卷 581-589页

作者： Yangwu Wu Sifan Li Yun Ji Zhengjin Weng Houying Xing Lester Arauz Travis Hu Jinhua Hong Kah-Wee Ang Song Liu State Key Laboratory of Chemo/Biosensing and Chemometrics College of Chemistry and Chemical EngineeringHunan UniversityChangsha 410082China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore Joint International Research Laboratory of Information Display and Visualization School of Electronic Science and EngineeringSoutheast UniversityNanjing 210096China Department of Mechanical Engineering California State UniversityLos Angeles5151 State University DrLos AngelesCA 90032USA College of Materials Science and Engineering Hunan UniversityChangsha 410082China Shenzhen Research Institute Hunan UniversityShenzhen 518000China

Layered metal dichalcogenides (LMDs) neuromorphic memristor devices offer a promising alternative toconventional von Neumann architectures, addressing speedand energy efficiency constraints. However, challenges remainin controlling resistive switching and operating voltage incrystalline LMD memristors due to environmental stabilization issues, which hinder neural network hardware development. Herein, we introduce an optimization method formemristor operation by controlling oxidation through ozonetreatment, creating a SnO_(x)/SnS_(2) resistive layer. These optimized memristors demonstrate low switching voltages (~1 V),rapid switching speeds (~20 ns), high switching ratios (10^(2)),and the ability to emulate synaptic weight plasticity. Crosssectional transmission electron microscopy and energy-dispersive X-ray spectroscopy identified defects and Ti conductive filaments in the resistive switching layer, contributingto uniform switching and minimized operating variation. Thedevice achieved 90% accuracy in MNIST handwritten recognition, and hardware-based image convolution was successfully implemented, showcasing the potential of SnO_(x)/SnS_(2)memristors for neuromorphic applications.

关键词： SnO_(x)/SnS_(2) oxidation layered metal dichalcogenides convolutional image processing neuromorphic computing

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MINER-RRT*: A Hierarchical and Fast Trajectory Planning Framework in 3D Cluttered Environments

arXiv

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arXiv 2024年

作者： Wang, Pengyu Tang, Jiawei Lin, Hin Wang Zhang, Fan Wang, Chaoqun Wang, Jiankun Shi, Ling Meng, Max Q.-H. Shenzhen Key Laboratory of Robotics Perception and Intelligence The Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen China The Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong The Department of Electronic Engineering The Chinese University of Hong Kong Hong Kong The Department of Electrical and Computer Engineering The University of Alberta Canada The School of Control Science and Engineering Shandong University Shandong China

—Trajectory planning for quadrotors in cluttered environments has been challenging in recent years. While many trajectory planning frameworks have been successful, there still exists potential for improvements, particularly in enhancing the speed of generating efficient trajectories. In this paper, we present a novel hierarchical trajectory planning framework to reduce computational time and memory usage called MINER-RRT*, which consists of two main components. First, we propose a sampling-based path planning method boosted by neural networks, where the predicted heuristic region accelerates the convergence of rapidly-exploring random trees. Second, we utilize the optimal conditions derived from the quadrotor’s differential flatness properties to construct polynomial trajectories that minimize control effort in multiple stages. Extensive simulation and real-world experimental results demonstrate that, compared to several state-of-the-art (SOTA) approaches, our method can generate high-quality trajectories with better performance in 3D cluttered environments. (Video1) Note to Practitioners—The motivation is the problem of planning trajectories for quadrotor autonomous flight in 3D cluttered and complex scenarios such as wild forest exploration and subterranean environment search-and-rescue. Sampling-based path planning methods are suitable for dealing with the complexity of the physical environment but are not convenient for computing dynamics and their differentials. Optimization-based trajectory generation methods are appropriate for handling various high-order constraints but rely on high-quality initial path solutions. Therefore, this paper combines the advantages of the two methods to propose a novel trajectory planning framework that can generate high-quality trajectories for quadrotors faster than many previous algorithms. We conduct numerous simulations and real-world experiments to verify that our method can be effectively deployed in real scenarios and empo

关键词： Deep neural networks

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Bayesian Optimization of Double-SAC Robotic Arm Path Planning Using Recent Prioritized Experience Replay

Bayesian Optimization of Double-SAC Robotic Arm Path Plannin...

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WRC Symposium on Advanced Robotics and Automation (WRC SARA)

作者： Shuai Yuan Ke Wen Feng Zhang Jianqiang Xiong School of Computer Science and Engineering Shenyang Jianzhu University Liaoning Province Big Data Management and Analysis Laboratory of Urban Construction Shenyang Branch of National Special Computer Engineering Technology Research Center Shengyang China School of Electrical and Control Engineering Shenyang Jianzhu University Shengyang China

As for the path planning of robotic arms, Deep Reinforcement Learning (DRL) algorithms have recently been developed. However, the high-dimensional action space and state space will result in reward sparsity and low training efficiency of robotic arm path planning. We propose a Bayesian optimization of Double-SAC algorithm using recent priority experience replay to solve these issues. We first propose the sampling method of recent prioritized experience replay (RPER), which combines recent sampling and prioritized experience replay (PER). The interval of experience pool is divided according to the recent sampling method, and sampling is performed according to the sample priority of the interval. Then we adopt a Bayesian optimization method that reduces the variance of the random strategy and improve the quality of the sampled actions. The larger variance is more beneficial for exploring the environment. Smaller variance is advantageous for exploiting good experiences to obtain higher returns. Our approach finds a good balance between exploration and exploitation. We train two Soft Actor Critic (SAC) agents to obtain two independent probability distributions, and a Bayesian optimizer is adopted to combine the two distributions to design a hybrid strategy. The hybrid strategy can output better actions according to the uncertainty estimation of the distribution, and further enhance training efficiency and stability. Finally, simulation tests are performed on the ROS-Gazebo platform, and the simulation results illustrate that the algorithm proposed in this paper converges faster and has a shorter training time than the original algorithm in terms of path planning performance.

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A Self-Powered Tactile Sensing Interface For Human-Machine Interaction

A Self-Powered Tactile Sensing Interface For Human-Machine I...

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International Conference on Solid State Sensors and Actuators (TRANSDUCERS)

作者： Yuyang Sun Hanyang Li Kaiyao Wang Xiaowei Feng Cheng Hou Tao Chen Huicong Liu School of Mechanical and Electrical Engineering Jiangsu Provincial Key Laboratory of Advanced Robot Soochow University Suzhou China School of Computer Science and Technology Soochow University Suzhou China

Human-machine interfaces (HMIs) are the critical platforms for achieving effective and intuitive operations and control tasks between the user and machine. In this work, we propose a self-powered tactile sensing interface (STI) based on an array of bilayer single-electrode triboelectric nanogenerator (TENG) units. For each TENG unit, a pair of innovative, flexible materials, i.e., PET-PDMS and PTFE-PDMS, are arranged in a mosaic pattern, which can serialize the signal peaks and valleys, thus realizing the encoding of tactile sensing information and optimization of the wiring layout. This self-powered, signal-serialized and neatly wired STI can demonstrate the control of intelligent vehicles by detecting touch events.

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