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Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSRWTC)

作者： Shu-Qing Zhang Shu-Ting Wu Sai-Wai Wong Yejun He Zhonghe Zhang Xuzhou Yu State Key Laboratory of Radio Frequency Heterogeneous Integration Shenzhen Key Laboratory of Antennas and Propagation Guangdong Engineering Research Center of Base Station Antennas and Propagation College of Electronics and Information Engineering Shenzhen University China The Department of Electrical and Computer Engineering Faculty of Science and Technology University of Macau Macau SAR China

ISBN: (数字)9798331507794

ISBN: (纸本)9798331507800

This paper proposed a design approach for a series-fed omnidirectional antenna based on 3D full-metal printing. A major issue when designing series-fed antennas is the radiation pattern lobing caused by the unique feeding mechanism. In this paper, necessary adjustments are made based on the phase relationships between the currents and electric fields of each radiating element, resulting in improved radiation characteristics for the series-fed antenna. To validate this idea, the paper designs a rod-shaped full-metal omnidirectional antenna, achieving a wide operating bandwidth and high gain. Additionally, a filtering antenna with omnidirectional radiation is designed, which achieves a high level of out-of-band suppression as well as good omnidirectional radiation performance.

关键词： Wireless communication Phased arrays Filtering Design methodology Omnidirectional antennas Bandwidth Three-dimensional printing Antenna feeds Electric fields Antenna radiation patterns

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Decoupling-based Withdrawal Scheme to Enhance Resilience of Multi-agent Energy Storage Systems under Contingencies

Decoupling-based Withdrawal Scheme to Enhance Resilience of ...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Shaohua Yang Keng-Weng Lao Hongxun Hui Yulin Chen Department of Electrical and Computer Engineering State Key Laboratory of Internet of Things for Smart City University of Macau Macao China Hainan Institute of Zhejiang University Sanya China

Renewable energies (RENs) are growing as never before due to climate concerns. Energy storage system (ESS) is regarded as a promising solution to help the power grid integrate RENs. However, the ESS is increasingly evolving into cyber-physical deeply coupled systems that are vulnerable to cyber-physical security risks. In this paper, we consider potential contingency in the ESS, and formulate the contingency problem by combining the characteristic of cyber-physical interactions. On this basis, it is revealed that a contingency at the physical layer may cause wrong information misleadings at the cyber layer, which can in turn lead to the normal energy storage devices in the ESS being out of control. Furthermore, we develop a decoupling-based withdrawal scheme to guarantee the normal operation of the whole ESS, even under contingency. Finally, the effectiveness of the proposed scheme is verified in case studies. Results show that a physical-layer contingency can cause topology decomposition, which can further result in the failure of the ESS to provide flexibility services to the power grid. While with the proposed scheme, all remaining energy storage devices in the ESS can still operate normally, despite the contingency in some devices. Therefore, the proposed scheme contributes to the enhancement of the resilience of ESS.

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NaviSTAR: Socially Aware Robot Navigation with Hybrid Spatio-Temporal Graph Transformer and Preference Learning

NaviSTAR: Socially Aware Robot Navigation with Hybrid Spatio...

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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Weizheng Wang Ruiqi Wang Le Mao Byung-Cheol Min Department of Computer and Information Technology SMART Laboratory Purdue University West Lafayette IN USA College of Mechanical and Electrical Engineering Beijing University of Chemical Technology Beijing China

Developing robotic technologies for use in human society requires ensuring the safety of robots' navigation behaviors while adhering to pedestrians' expectations and social norms. However, understanding complex human-robot interactions (HRI) to infer potential cooperation and response among robots and pedestrians for cooperative collision avoid-ance is challenging. To address these challenges, we propose a novel socially-aware navigation benchmark called NaviS Tar, which utilizes a hybrid Spatio- Temporal grAph tRansformer to understand interactions in human-rich environments fusing crowd multi-modal dynamic features. We leverage an off-policy reinforcement learning algorithm with preference learning to train a policy and a reward function network with supervi-sor guidance. Additionally, we design a social score function to evaluate the overall performance of social navigation. To compare, we train and test our algorithm with other state-of-the-art methods in both simulator and real-world scenarios independently. Our results show that NaviSTAR outperforms previous methods with outstanding performance 1 1 The source code and experiment videos of this work are available at: https://***/view/san-navistar

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Near Field Electromagnetic Energy Flow Regulation Method for WPT System via Frequency Adjustment

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IEEE Journal of Emerging and Selected Topics in Power Electronics 2024年

作者： Wang, Fengxian Yang, Qingxin Zhang, Xian Chen, Ting Hu, Aiguo Patrick Li, Guangyao Hebei University of Technology State Key Laboratory of Reliability and Intelligence of Electrical Equipment Tianjin300401 China Hebei University of Technology Hebei Key Laboratory of Equipment and Technology Demonstration of Flexible DC Transmission Tianjin300401 China Tianjin University of Technology Tianjin300384 China University of Auckland Department of Electrical and Computer Engineering Auckland1142 New Zealand

A near-field wireless power transfer (WPT) system may simultaneously contains magnetic field coupled power (MFCP) and electric field coupled power (EFCP), and the comprehensive utilization of the two types of coupled power in space can help improve the power transfer capability and efficiency under misaligned conditions. This would help improve the grid interaction capabilities of electric equipment with near-field WPT systems to tackle the challenges posed by the integration of large-scale WPT systems to the power grid. From the electromagnetic energy flow theory based on Poynting vector analysis, this paper describes the energy flow process of the near-field WPT system under the effect of distributed parameters and obtains a reduced-order evaluation method to assess the transmission levels of the two types of coupled power. Extracting the characteristic parameters related to the coupling characteristics of the near-field WPT system, a method is proposed to regulate the near-field electromagnetic energy flow by adjusting the system's working frequency. By actively regulating the transmission ratio of the two types of coupled power, the system can achieve optimal output characteristics under coupling misalignment. Simulations and experiments are carried out to verify the effectiveness of the proposed near-field electromagnetic energy flow regulation method. This paper provides a new method to realize complementary output and ratio regulation of two types of coupled power using couplers made of simple materials. © 2013 IEEE.

关键词： Inductive power transmission

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Stochastic modeling of superconducting qudits in the dispersive regime

arXiv

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arXiv 2023年

作者： Yu, Kangdi Sarihan, Murat C. Kang, Jin Ho Taylor, Madeline Fan, Cody S. Banerjee, Ananyo DuBois, Jonathan L. Rosen, Yaniv J. Wong, Chee Wei Department of Electrical and Computer Engineering University of California Los AngelesCA90095 United States Lawrence Livermore National Laboratory LivermoreCA94550 United States

The field of superconducting quantum computing, based on Josephson junctions, has recently seen remarkable strides in scaling the number of logical qubits. In particular, the fidelities of one- and two-qubit gates have reached the breakeven point with the novel error mitigation and correction methods. Parallel to these advances is the effort to expand the Hilbert space within a single junction or device by employing high-dimensional qubits, otherwise known as qudits. Research has demonstrated the possibility of driving higher-order transitions in a transmon or designing innovative multimode superconducting circuits, termed multimons. These advances can significantly expand the computational basis while simplifying the interconnects in a large-scale quantum processor. In this work we extend the measurement theory of a conventional superconducting qubit to that of a qudit, focusing on modeling the dispersive quadrature measurement in an open quantum system. Under the Markov assumption, the qudit Lindblad and stochastic master equations are formulated and analyzed;in addition, both the ensemble-averaged and the quantum-jump approach of decoherence analysis are detailed with analytical and numerical comparisons. We verify our stochastic model with a series of experimental results on a transmon-type qutrit, demonstrating the validity of our high-dimensional formalism. © 2023, CC BY.

关键词： Stochastic systems

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Modeling of a Networked Community Microgrid with High Solar Penetration Considering Control Dynamics of Inverter-Based Resources

Modeling of a Networked Community Microgrid with High Solar ...

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IEEE PES Conference on Innovative Smart Grid Technologies (ISGT Latin America)

作者： Dingrui Li Yu Su Fred Wang Mohammed Olama Maximiliano Ferrari Ben Ollis Min H. Kao Department of Electrical Engineering & Computer Science The University of Tennessee Knoxville TN USA Oak Ridge National Laboratory Oak Ridge USA

Microgrids help facilitate the integration of renewable energy in distribution-level grids and increase the resilience of the electric grid to extreme weather, especially in rural areas. Compared to traditional microgrids, a networked microgrid leverages multiple grid-forming sources to form a potential meshed grid and is more flexible in operation. This paper demonstrates the simulation modeling of an actual networked microgrid located in Adjuntas, Puerto Rico. The model contains representations of power inverters that connect the battery energy storage systems and photovoltaic generation systems to the networked microgrid and is capable of simulating fast grid transients as well as long-term operation of the networked microgrid. The modeling technique for power inverters allows the time-efficient simulation of the microgrid with a minimal penalty on model accuracy.

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Spatial and Contextual Path Network for Image Inpainting

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Intelligent Automation & Soft Computing 2024年第2期39卷 115-133页

作者： Dengyong Zhang Yuting Zhao Feng Li Arun Kumar Sangaiah Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation Changsha University of Science and TechnologyChangsha410114China School of Computer and Communication Engineering Changsha University of Science and TechnologyChangsha410114China International Graduate Institute of AI National Yunlin University of Science and TechnologyYunlinTaiwan Department of Electrical and Computer Engineering Lebanese American UniversityByblosLebanon

Image inpainting is a kind of use known area of information technology to repair the loss or damage to the *** feature extraction is the core of image *** enough space for information and a larger receptive field is very important to realize high-precision image ***,in the process of feature extraction,it is difficult to meet the two requirements of obtaining sufficient spatial information and large receptive fields at the same *** order to obtain more spatial information and a larger receptive field at the same time,we put forward a kind of image restoration based on space path and context path *** the space path,we stack three convolution layers for 1/8 of the figure,the figure retained the rich spatial *** the context path,we use the global average pooling layer,where the accept field is the maximum of the backbone network,and the pooling module can provide global context information for the maximum accept *** order to better integrate the features extracted from the spatial and contextual paths,we study the fusion module of the two *** fusionmodule first path output of the space and context path,and then through themass normalization to balance the scale of the characteristics,finally the characteristics of the pool will be connected into a feature vector and calculate the weight *** of images in order to extract context information,we add attention to the context path refinement *** modules respectively from channel dimension and space dimension to weighted images,in order to obtain more effective *** show that our method is better than the existing technology in the quality and quantity of themethod,and further to expand our network to other inpainting networks,in order to achieve consistent performance improvements.

关键词： Image inpainting attention deep learning convolutional network

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Proximal quantum control of spin and spin ensemble with localized control field from skyrmions

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Physical Review Applied 2024年第6期22卷 064077-064077页

作者： Md Fahim F. Chowdhury Mohamad Niknam Md Mahadi Rajib Louis-S. Bouchard Jayasimha Atulasimha Department of Mechanical and Nuclear Engineering Virginia Commonwealth University Richmond VA 23284 USA Department of Chemistry and Biochemistry University of California Los Angeles 607 Charles E. Young Drive East Los Angeles CA 90095-1059 USA Center for Quantum Science and Engineering University of California Los Angeles Los Angeles CA 90095 USA Current affiliation: Department of Physics and Astronomy University of California Los Angeles Los Angeles CA 90095 USA Department of Electrical and Computer Engineering Virginia Commonwealth university Richmond VA 23284 USA Materials Sciences Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA Department of Electrical Engineering and Computer Sciences University of California Berkeley Berkeley CA 94720-1770 USA

Selective control of individual spin qubits is needed for scalable quantum computing based on spin states. Achieving high-fidelity in both single-qubit and two-qubit gates, essential components of universal quantum computers, necessitates highly localized control fields. These fields must be capable of addressing specific spin qubits while minimizing gate errors and crosstalk in adjacent qubits. Overcoming the challenge of generating a localized radio-frequency magnetic field, in the absence of elementary magnetic monopoles, we introduce a technique that combines divergent and convergent nanoscale magnetic skyrmions. This approach produces a precise control field that manipulates spin qubits with high fidelity. We propose the use of 2D skyrmions, which are much easier to fabricate than 3D hedgehog structures. The latter are considered emergent magnetic monopoles, but their fabrication is challenging. In contrast, 2D skyrmions can be created with use of standard semiconductor-foundry processes and offer effective magnetic field confinement in two dimensions. Our comparative analysis of the density-matrix evolution and gate fidelities in scenarios involving proximal skyrmions and nanomagnets indicates potential gate fidelities surpassing 99.95% for π/2 gates and 99.90% for π gates. The average field induced at the nearest neighboring qubit by skyrmions is 0.0332 mT along the x axis (200 nm), while it is 0.507 mT for the nanomagnet case. Notably, the skyrmion configuration generates a significantly lower field on neighboring spin qubits, i.e., 15 times smaller field or approximately 23.5 dB compared to nanomagnets that produce the same field at the target qubit, making it a more-suitable candidate for scalable quantum control architectures by reducing disturbances in adjacent qubits.

关键词： Nanocrystals

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Observability Analysis and Reduced-Order Observer Design for a Super-Coiled Polymer-Driven Robotic Eye

Observability Analysis and Reduced-Order Observer Design for...

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IEEE Conference on Decision and Control

作者： Sunil Kumar Rajendran Qi Wei Ningshi Yao Feitian Zhang Department of Electrical and Computer Engineering George Mason University Fairfax VA USA Department of Bioengineering George Mason University Fairfax VA USA Department of Advanced Manufacturing and Robotics and the State Key Laboratory of Turbulence and Complex Systems College of Engineering Peking University Beijing China

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

With the aid of a robotic eye platform, several ocular motor disorders such as strabismus can be studied by ophthalmologists and biomedical researchers to better under-stand the biomechanisms of the human eye. Our previous work modeled a 2-DOF robotic eye driven by Super-Coiled Polymer (SCP) artificial muscles and presented a Deep Deterministic Policy Gradient (DDPG) learning-based controller. The control policy requires access to the full system states that include the orientation of the robotic eye and temperature changes of the SCPs. While the angular orientations of the robotic eye can be determined using embedded sensors or image-processing of the visual feed, it is quite laborious and expensive to measure the temperatures of the slender SCP muscles without affecting robot dynamics. To address this problem, this paper designs a linear reduced-order state observer based on the linearization of the nonlinear dynamics of the robotic eye. The linearized model is analytically shown to be fully observable along any trajectory within the operation range. To quantify the local observability of the dynamical system, local unobservability indices and local estimation condition numbers are determined along trajectories of the system states. The performance of the designed observer is tested through simulation in both open-loop and closed-loop foveation control of the robotic eye.

关键词： Temperature sensors Temperature measurement Visualization Observers Robot sensing systems Trajectory Nonlinear dynamical systems

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Grafted AlGaAs/GeSn Optical Pumping Laser Operating up to 130 K

arXiv

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arXiv 2024年

作者： Zhou, Jie Vincent, Daniel Acharya, Sudip Ojo, Solomon Abrand, Alireza Liu, Yang Gong, Jiarui Liu, Dong Haessly, Samuel Shen, Jianping Xu, Shining Li, Yiran Lu, Yi Stanchu, Hryhorii Mawst, Luke Claflin, Bruce Mohseni, Parsian K. Ma, Zhenqiang Yu, Shui-Qing Department of Electrical and Computer Engineering University of Wisconsin - Madison Madison53706 United States Department of Electrical Engineering University of Arkansas FayettevilleAR72701 United States Microelectronics-Photonics Program University of Arkansas FayettevilleAR72701 United States Department of Electrical and Microelectronic Engineering Rochester Institute of Technology RochesterNY14623 United States Air Force Research Laboratory Wright-Patterson AFB OH45433 United States

Group IV GeSn double-heterostructure (DHS) lasers offer unique advantages of a direct bandgap and CMOS compatibility. However, further improvements in laser performance have been bottlenecked by limited junction properties of GeSn through conventional epitaxy and wafer bonding. This work leverages semiconductor grafting to synthesize and characterize optically pumped ridge edge-emitting lasers (EELs) with an AlGaAs nanomembrane (NM) transfer-printed onto an epitaxially grown GeSn substrate, interfaced by an ultrathin Al2O3 layer. The grafted AlGaAs/GeSn DHS lasers show a lasing threshold of 11.06 mW at 77 K and a maximum lasing temperature of 130 K. These results highlight the potential of the grafting technique for enhancing charge carrier and optical field confinements, paving the way for room-temperature electrically injected GeSn lasers. Copyright © 2024, The Authors. All rights reserved.

关键词： Wafer bonding

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