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18th IEEE International Conference on Advanced Motion Control, AMC 2024

作者： Deng, Jifei Sierla, Seppo Sun, Jie Vyatkin, Valeriy Northeastern University State Key Laboratory of Rolling and Automation Shenyang China Aalto University Department of Electrical Engineering and Automation Espoo Finland Luleå University of Technology Department of Computer Science Electrical and Space Engineering Luleå Sweden

ISBN: (纸本)9798350342819

This paper proposes an intelligent dynamic modeling method for strip rolling process. Actuators of a cold rolling mill perform actions, including work roll bending, intermediate roll bending, and roll gap tilting, to regulate the product quality. Conventional first-principles modeling necessitates intricate mathematical equations derived from process analysis and action evaluation. However, the complexity of the model increases the difficulty of upgrading the model. To address this limitation, a novel approach involving a deep neural network with a Gaussian distribution layer is proposed to effectively capture the process dynamics. A negative log likelihood is established as the loss function for the model using real-world industrial data. Experiment outcomes demonstrate the efficacy of the proposed method in achieving an accurate dynamic model. © 2024 IEEE.

关键词： Deep neural networks

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Vulnerability Studies Under EMP: Impedance and PCI Testing of the Grid Control Devices

Vulnerability Studies Under EMP: Impedance and PCI Testing o...

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2023 IEEE PES/IAS PowerAfrica, PowerAfrica 2023

作者： Qiu, Wei Zhang, Liang Yin, He Markel, Lawrence C Liao, Dahan McConnell, Ben W Liu, Yilu The University of Tennessee Department of Electrical Engineering & Computer Science KnoxvilleTN United States Oak Ridge National Laboratory Ornl TN United States

ISBN: (纸本)9798350337556

Control devices such as inverters and generator controllers are critical for the stable operation of the power grid, especially for power stability control and power dispatch. However, the Electromagnetic Pulse (EMP) is a potential threat to electronic devices in modern power grids, therefore decreasing the power grid resilience and bringing unrecoverable damages to the devices. To reveal the impact mechanism of the EMP, impedance and Pulse Current Injection (PCI) testing is established to study the vulnerability of the grid control devices. The impedance of the grid control devices is accurately measured using impedance analyzers with different frequency ranges. Then the voltage and current responses are tested based on the PCI testing. The vulnerability experiments based on two grid control devices are carried out. And the comparison results reveal that most ports would be damaged under EC8, and some ports can survive under EC5 according to the calculated PCI response and cumulative energy. The results can provide a reference for the future design of control devices and the strategic resilience of power grids. © 2023 IEEE.

关键词： Electromagnetic pulse

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Sub-terahertz transmissive reconfigurable intelligent surface for integrated beam steering and self-OOK-modulation

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Light(science & Applications) 2025年第1期14卷 131-141页

作者： Dongfang Shen Feng Lan Luyang Wang Tianyang Song Munan Yang Tianyu Hu Yueting Li Xiaolei Nie Jiayao Yang Shixiong Liang Hongxin Zeng Hui-Fang Zhang Pinaki Mazumder Ziqiang Yang Yaxin Zhang Tie Jun Cui Sichuan THz Communication Technology Engineering Research Center School of Electronic Science and EngineeringUniversity of Electronic Science and Technology of ChinaChengdu611731China Yangtze Delta Region Institute(Huzhou) University of Electronic Science and Technology of ChinaHuzhou313000China Zhangjiang Laboratory Shanghai201204China School of Microelectronics Tianjin UniversityTianjin300072China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of ChinaShenzhen518100China Department of Electrical Engineering and Computer Science University of MichiganAnn ArborMI48109USA Southeast University Nanjing210096China

Boasting superior flexibility in beam manipulation and a simpler framework than traditional phased arrays,terahertz metasurface-based phased arrays show great promise for 5G-A/6G communication *** with the reflective reconfigurable intelligent surface(reflective RIS),the transmissive RIS(TRIS)offers more feasibility for transceiver multiplexing systems to meet the growing demand for high-performance beam tracking in terahertz communication and radar ***,the terahertz TRIS encounters greater challenges in phase shift,beam efficiency,and complex ***,we propose a sub-terahertz TRIS based on the phase shift via Pancharatnam-Berry(PB)metasurface and self-on-off keying(OOK)modulation via Schottky *** electrically reconfigurable unit cell consists of a column-wise phase resonator and a rectangular *** experimental retrieved equivalent lumped-element circuit model is implemented in joint field-circuit simulations and is validated by experiments.A fabricated prototype demonstrates excellent performance of TRIS with the minimum insertion loss of 2.8 dB for operational states,large bandwidth nearly covering the entire W-band for 1-bit phase shift,deep OOK amplitude modulation of 12 dB,and wide scanning range of±60°with low specular *** further implement an integrated platform combining high-speed beam steering and spatial-light modulation,verifying the point-to-point signal transmissions in different directions using the TRIS *** proposed TRIS with high-performance and cost-effective fabrication makes it a promising solution to terahertz minimalist communication systems,radar,and satellite communication systems.

关键词： reconfigurable reflective resonator

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Controlled growth of two-dimensional InAs single crystals via van der Waals epitaxy

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Nano Research 2022年第11期15卷 9954-9959页

作者： Jiuxiang Dai Teng Yang Zhitong Jin Yunlei Zhong Xianyu Hu Jingyi Zou Weigao Xu Tao Li Yuxuan Lin Xu Zhang Lin Zhou School of Chemistry and Chemical Engineering Frontiers Science Centre for Transformative MoleculesShanghai Jiao Tong UniversityShanghai 200240China Shenyang National Laboratory for Materials Science Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China Department of Electrical and Computer Engineering Carnegie Mellon UniversityPittsburghPA 15213USA Key Laboratory of Mesoscopic Chemistry School of Chemistry and Chemical EngineeringNanjing UniversityNanjing 210023China Department of Electrical Engineering and Computer Sciences University of CaliforniaBerkeleyCA 94720USA

Two-dimensional(2D)indium arsenide(InAs)is promising for future electronic and optoelectronic applications such as highperformance nanoscale transistors,flexible and wearable devices,and high-sensitivity broadband photodetectors,and is advantageous for its heterogeneous integration with Si-based ***,the synthesis of 2D InAs single crystals is challenging because of the nonlayered *** we report the van der Waals epitaxy of 2D InAs single crystals,with their thickness down to 4.8 nm,and their lateral sizes up to~37μ*** as-grown InAs flakes have high crystalline quality and are *** thickness can be tuned by growth time and ***,we explore the thickness-dependent optical properties of InAs *** measurement reveals that 2D InAs possesses high conductivity and high carrier *** work introduces InAs to 2D materials family and paves the way for applying 2D InAs in high-performance electronics and optoelectronics.

关键词： two-dimensional materials van der Waals epitaxy indium arsenide nonlayered material

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Insights into Non-uniform Aging Effects on Broadband Dielectric Behaviors for High-voltage XLPE Cable Insulation: A Novel Fractional-order Circuit Modeling Approach

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IEEE Transactions on Dielectrics and electrical Insulation 2024年第3期32卷 1793-1801页

作者： Dai, Xize Hao, Jian Jian, Zheng Hosani, Khalifa Hassan Al Liao, Ruijin Chongqing University State Key Laboratory of Power Transmission Equipment Technology School of Electrical Engineering Chongqing400044 China Aalborg University Department of Energy Aalborg9220 Denmark State Grid Chongqing Electric Power Company Shinan Power Supply Branch Chongqing401336 China Khalifa University APEC Department of Electrical Engineering and Computer Science Abu Dhabi127788 United Arab Emirates

A non-uniform aging pattern inside insulation systems is a significant contributor to the degradation of high-voltage (HV) power equipment. Therefore, this article presents a comprehensive investigation into the effects of non-uniform aging patterns on broadband dielectric properties of polymer insulation, with a focus on XLPE power cables, aiming to provide a deeper understanding of these effects. By examining two uniformly aged and five non-uniformly aged XLPE insulation cases, the study comparatively analyzes the influence of diverse aging patterns on broadband dielectric properties. Furthermore, a novel fractional-order circuit model is proposed to characterize broadband dielectric behaviors influenced by insulation structure heterogeneity caused by non-uniform aging patterns. The results indicate that non-uniform aging effects on real part of capacitance in XLPE insulation are highly sensitive, though the analysis remains qualitative. Subsequently, the proposed fractional-order circuit model following power-law behaviors successfully reconstructs broadband dielectric properties of non-uniformly aged XLPE insulation systems with average relative errors of less than 10%, making it a potential quantification tool to unveil underlying dynamic behaviors. This model offers a rational physical explanation and characterization of XLPE dielectric properties subject to diverse aging patterns, providing theoretical support for the aging analysis of HV cable equipment. © 1994-2012 IEEE.

关键词： Capacitance

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Cyber-Physical Reconfiguration for Disaster Resilience of Power Distribution systems 14

Cyber-Physical Reconfiguration for Disaster Resilience of Po...

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14th IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2023

作者： Islam, Md. Zahidul Lin, Yuzhang Vokkarane, Vinod M. Yao, Yiyun Ding, Fei University of Massachusetts Lowell Department of Electrical and Computer Engineering LowellMA United States National Renewable Energy Laboratory Power Systems Engineering Center GoldenCO United States

ISBN: (纸本)9781665455541

Cyber-physical distribution systems (CPDS) have emerged from the integration of information technology into distribution systems. While offering substantial benefits, this integration also introduces vulnerabilities. The interaction between cyber networks and distribution systems renders CPDS susceptible to disasters. To ensure critical load supply and system resilience, rapid post-disaster load restoration is required. The paper proposes a critical load restoration (CLR) framework in CPDS using a network reconfiguration approach that exploits the existing post-disaster resources to restore critical loads within the shortest possible time. Using graph theory, the cyber network and distribution system are integrated into a single digraph, minimizing the CLR complexity in CPDS. A cost metric is also defined to satisfy network-specific objectives and constraints. A heuristic is proposed to guide the load restoration process using the cost metric within the integrated digraph. Simulation results confirm the framework's superiority over existing literature, which either overlooks cyber components or prolongs restoration with additional resource deployment. © 2023 IEEE.

关键词： Restoration

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Insect Identification in Pulsed Lidar Images Using Changepoint Detection Algorithms

Insect Identification in Pulsed Lidar Images Using Changepoi...

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2023 Annual Intermountain engineering, Technology and Computing, IETC 2023

作者： Sweeney, Nathaniel Xu, Caroline Shaw, Joseph A. Hocking, Toby D. Whitaker, Bradley M. Montana State University Electrical and Computer Engineering Department United States University of Michigan Electrical Engineering and Computer Science Department United States Montana State University Optical Technology Center United States School of Informatics Computing and Cyber Systems Northern Arizona University United States

ISBN: (纸本)9798350335903

Noninvasive entomological insect monitoring often utilizes a variety of tools such as LiDAR to gather information without interfering with the insects in their habitat. These collection methods often result in large amounts of data that can be te-dious and lengthy to interpret and analyze. Machine learning has been previously used in the past in order to analyze Li-DAR images to detect insects, but often suffers from pitfalls such as long training times and large computational power requirements. In an attempt to offer an alternative that takes little to no training on the data and much less computational power, this paper looks at the use of changepoint detection algorithms to analyze LiDAR images containing insects. By analyzing the rows or columns of a LiDAR image, the algorithms should be able to detect abrupt changes in the image that would represent the insects. While not as accurate, the changepoint detection algorithms give comparable results to a machine learning algorithm tested on the same dataset without the need for supervised training. © 2023 IEEE.

关键词： Anomaly detection

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Improving Quantum Circuit Synthesis with Machine Learning 4

Improving Quantum Circuit Synthesis with Machine Learning

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4th IEEE International Conference on Quantum Computing and engineering, QCE 2023

作者： Weiden, Mathias Younis, Ed Kalloor, Justin Kubiatowicz, John Iancu, Costin University of California Department of Electrical Engineering and Computer Science Berkeley United States Computational Research Division Lawrence Berkeley National Laboratory United States

ISBN: (纸本)9798350343236

In the Noisy Intermediate Scale Quantum (NISQ) era, finding implementations of quantum algorithms that mini-mize the number of expensive and error prone multi-qubit gates is vital to ensure computations produce meaningful outputs. Unitary synthesis, the process of finding a quantum circuit that implements some target unitary matrix, is able to solve this problem optimally in many cases. However, current bottom-up unitary synthesis algorithms are limited by their exponentially growing run times. We show how applying machine learning to unitary datasets permits drastic speedups for synthesis algorithms. This paper presents QSeed, a seeded synthesis algorithm that employs a learned model to quickly propose resource efficient circuit implementations of unitaries. QSeed maintains low gate counts and offers a speedup of 3.7 x in synthesis time over the state of the art for a 64 qubit modular exponentiation circuit, a core component in Shor's factoring algorithm. QSeed's performance improvements also generalize to families of circuits not seen during the training process. © 2023 IEEE.

关键词： Machine learning

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High-fidelity model to predict heat transfer enhancement for liquid film boiling on uniform micro-structured wicking surfaces

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National science Review 2024年第6期11卷 93-95页

作者： Vishwanath Ganesan Mohammad Jalal Inanlu Nenad Miljkovic Department of Mechanical Science and Engineering University of Illinois Urbana-Champaign Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign Materials Research Laboratory University of Illinois Urbana-Champaign International Institute for Carbon Neutral Energy Research (WPI-I2CNER) Kyushu University Institute for Sustainability Energy and Environment (iSEE)University of Illinois Urbana-Champaign

The field of thermal management in highpower electronic devices is a critical area of study, focusing on the efficient dissipation of heat to prevent device overheating and failure [1]. A key aspect of this field is understanding the dynamics of thin liquid film boiling, both on uniform and non-uniform micro-structured wicking surfaces, which can significantly enhance the heat transfer effectiveness[2].

关键词： structured predict micro liquid model boiling enhancement film heat high-fidelity

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Black-hole-inspired thermal trapping with graded heat-conduction metadevices

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National science Review 2023年第2期10卷 131-138页

作者： Liujun Xu Jinrong Liu Peng Jin Guoqiang Xu Jiaxin Li Xiaoping Ouyang Ying Li Cheng-Wei Qiu Jiping Huang Department of Physics State Key Laboratory of Surface Physics and Key Laboratory of Micro and Nano Photonic Structures (MOE) Fudan University Department of Electrical and Computer Engineering National University of Singapore Graduate School of China Academy of Engineering Physics School of Materials Science and Engineering Xiangtan University Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical InstrumentationZJU-Hangzhou Global Scientific and Technological Innovation CenterZhejiang University International Joint Innovation Center Key Laboratory of Advanced Micro/Nano Electronic Devices and Smart Systems of Zhejiang The Electromagnetics Academy of Zhejiang University Zhejiang University

The curved space-time produced by black holes leads to the intriguing trapping *** far,metadevices have enabled analogous black holes to trap light or sound in laboratory ***,trapping heat in a conductive environment is still challenging because diffusive behaviors are *** by black holes,we construct graded heat-conduction metadevices to achieve thermal trapping,resorting to the imitated advection produced by graded thermal conductivities rather than the trivial solution of using insulation materials to confine thermal *** experimentally demonstrate thermal trapping for guiding hot spots to diffuse towards the *** heat-conduction metadevices have advantages in energy-efficient thermal regulation because the imitated advection has a similar temperature field effect to the realistic advection that is usually driven by external energy *** results also provide an insight into correlating transformation thermotics with other disciplines,such as cosmology,for emerging heat control schemes.

关键词： thermal trapping graded metadevices imitated advection

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