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16th International Conference on Intelligent Robotics and Applications, ICIRA 2023

作者： Zhu, Yiting Xie, Ye Gao, Chengzhi Liang, Dingkun Kong, Lingyu Wang, Xin Xie, Anhuan Gu, Jianjun Research Center for Intelligent Robotics Research Institute of Interdisciplinary Innovation Zhejiang Laboratory Hangzhou311100 China Zhejiang Engineering Research Center for Intelligent Robotics Hangzhou311100 China Zhejiang University Zhejiang Hangzhou311100 China Department of Electrical and Computer Engineering Dalhousie University HalifaxNSB3H 4R2 Canada

ISBN: (纸本)9789819964918

When a biped robot walks at a high speed, only relying on the open-loop gait trajectory based on the linear inverted pendulum model (LIPM), the robot cannot maintain stability. Sudden contact with the ground when landing may cause the robot to be unstable. Simultaneously, when the robot walks faster, the horizontal position of the center of mass (CoM) varies greatly during a walk cycle, and the expected CoM trajectory cannot be accurately tracked, resulting in a deviation from the zero-moment point (ZMP). Aiming at the above situation that may occur in fast walking, a whole-body compliance controller with emphasis on making robot’s walking more stable and faster is presented in this paper. The whole-body compliance controller consists of three parts: the CoM compliance controller, the vertical compliance controller and the foot compliance controller, which are used to improve the tracking effect of CoM, reduce the force impact of foot, and adjust the posture of the foot respectively. The simulation results show that with the whole-body compliance controller proposed in this paper, the tracking accuracy of the CoM becomes better, the posture of the robot is more stable during walking, and the landing compliance during landing are greatly improved. Finally, the walking speed of the robot can reach 1.8m/s. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.

关键词： Compliance control

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Spatial Channel State Information Prediction with Generative AI: Towards Holographic Communication and Digital Radio Twin

arXiv

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arXiv 2024年

作者： Zhang, Lihao Sun, Haijian Zeng, Yong Hu, Rose Qingyang School of Electrical and Computer Engineering University of Georgia AthensGA United States National Mobile Communications Research Laboratory Southeast University Nanjing China Department of Electrical and Computer Engineering Utah State University LoganUT United States

As 5G technology becomes increasingly established, the anticipation for 6G is growing, which promises to deliver faster and more reliable wireless connections via cutting-edge radio technologies. However, efficient management method of the large-scale antenna arrays deployed by those radio technologies is crucial. Traditional management methods are mainly reactive, usually based on feedback from users to adapt to the dynamic wireless channel. However, a more promising approach lies in the prediction of spatial channel state information (spatial-CSI), which is an all-inclusive channel characterization and consists of all the feasible line-of-sight (LoS) and non-line-of-sight (NLoS) paths between the transmitter (Tx) and receiver (Rx), with the three-dimension (3D) trajectory, attenuation, phase shift, delay, and polarization of each path. Advances in hardware and neural networks make it possible to predict such spatial-CSI using precise environmental information, and further look into the possibility of holographic communication, which implies complete control over every aspect of the radio waves emitted. Based on the integration of holographic communication and digital twin, we proposed a new framework, digital radio twin, which takes advantages from both the digital world and deterministic control over radio waves, supporting a wide range of high-level applications. As a preliminary attempt towards this visionary direction, in this paper, we explore the use of generative artificial intelligence (AI) to pinpoint the valid paths in a given environment, demonstrating promising results, and highlighting the potential of this approach in driving forward the evolution of 6G wireless communication technologies. © 2024, CC BY.

关键词： Digital radio

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Remote entangling gates for spin qubits in quantum dots using a charge-sensitive superconducting coupler

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Physical Review Applied 2025年第4期23卷 044055-044055页

作者： Harry Hanlim Kang Ilan T. Rosen Max Hays Jeffrey A. Grover William D. Oliver Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Physics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA

We propose a method to realize microwave-activated cz gates between two remote spin qubits in quantum dots using a charge-sensitive superconducting coupler. The qubits are longitudinally coupled to the coupler, such that the transition frequency of the coupler depends on the logical qubit states; a capacitive network model using first-quantized charge operators is developed to illustrate this. Driving the coupler transition then implements a conditional phase shift on the qubits. Two pulsing schemes are investigated: a rapid, off-resonant pulse with constant amplitude, and a pulse with envelope engineering that incorporates dynamical decoupling to mitigate charge noise. We develop non-Markovian time-domain simulations to accurately model gate performance in the presence of 1/fβ charge noise. Simulation results indicate that a cz gate fidelity exceeding 90% is possible with realistic parameters and noise models.

关键词： Qubits

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Learning-based Solar Power and Load Forecasting in DC Net-zero Energy Building with Incomplete Data 7

Learning-based Solar Power and Load Forecasting in DC Net-ze...

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7th IEEE International Conference on Power and Renewable Energy, ICPRE 2022

作者： Iao, Hou-Wang Lao, Keng-Weng Kang, Jing University of Macau State Key Laboratory of Internet of Things for Smart City Department of Electrical and Computer Engineering China Shenzhen Institute of Building Research Co . Ltd. Shenzhen China

ISBN: (数字)9781665450638

ISBN: (纸本)9781665450638

To cope with global climate change and carbon emission reduction, net-zero energy building (NZEB) was advocated in the building industries in these years, which aims to minimize energy needs and achieve zero-energy balance through renewables generation. Practically, because of the increasing energy demand and uncertainty in renewables generation, the building microgrid mostly relies on grid supply for daily usage instead of renewables generation, which violates the intention of zero energy. Thus, accurate load and PV power forecasting are imperative for NZEB power system planning. However, data-driven forecasting requires high volume of complete dataset. This paper compares load and PV power forecasting performance by learning-based models with incomplete data based on a demonstration NZEB project. The result highlights that Gated Recurrent Unit (GRU) and Bidirectional Long Short Term Memory (BiLSTM) with K-nearest neighbors (KNN) interpolation on improvement of weekly load and PV power forecasting RMSE by 10.132 kW and 6.650 kW respectively. © 2022 IEEE.

关键词： Climate change

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Optical Fiber Tip Learns to Identify Liquids 27

Optical Fiber Tip Learns to Identify Liquids

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27th International Conference on Optical Fiber Sensors, OFS 2022

作者： Zhu, Chen Naku, Wassana Nambisan, Anand K. Gerald, Rex E. Huang, Jie Research Center for Optical Fiber Sensing Zhejiang Laboratory Hangzhou311100 China Department of Electrical and Computer Engineering Missouri University of Science and Technology RollaMO65409 United States

We propose and demonstrate an extremely simple fiber-optic tip sensor system to identify liquids through droplet evaporation events on the fiber tip, analyzed using machine learning techniques. © 2022 The Author(s).

ISBN: (纸本)9781957171142

关键词： Optical fibers

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Fiber-Optic Extrinsic Fabry-Perot Interferometer Inspired Microwave Device: A Novel Ultra-Sensitive Sensing Platform 27

Fiber-Optic Extrinsic Fabry-Perot Interferometer Inspired Mi...

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27th International Conference on Optical Fiber Sensors, OFS 2022

作者： Zhu, Chen Huang, Jie Research Center for Optical Fiber Sensing Zhejiang Laboratory Hangzhou311100 China Department of Electrical and Computer Engineering Missouri University of Science and Technology RollaMO65409 United States

Inspired by the fiber-optic extrinsic Fabry-Perot interferometer, we report a novel and universal ultra-sensitive microwave Fabry-Perot sensing platform based on an open-ended hollow coaxial cable resonator (OE-HCCR) ... 详细信息

ISBN: (纸本)9781957171142

关键词： Fiber optics

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On the Methodology of Modeling a Parallel Plate Capacitor Using the Partial Element Equivalent Circuit (PEEC) Technique 6

On the Methodology of Modeling a Parallel Plate Capacitor Us...

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6th Annual IEEE research and Applications of Photonics in Defense Conference, RAPID 2023

作者： Govindankutty, Arun Rudi, Anna Kroll, Simon Clevelend, Jerika Braaten, Benjamin D. Allen, Monica Allen, Jeffery Striker, Ryan Ewert, Daniel L. North Dakota State University Department of Electrical and Computer Engineering FargoND58105 United States Air Force Research Laboratory Munitions Eglin Air Froce Base FL United States College of Engineering and Mines University of North Dakota Grand ForksND United States

The Partial Element Equivalent Circuit (PEEC) method is an efficient technique to model the propagation of an electromagnetic field using an equivalent circuit. This work is a methods paper on computing the equivalent... 详细信息

ISBN: (纸本)9781665423526

关键词： Equivalent circuits

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Doppler-Based Satellite-Borne Localization of Ground Electromagnetic Interferer

Doppler-Based Satellite-Borne Localization of Ground Electro...

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IEEE Conference on Aerospace

作者： Yimin D. Zhang Yanwu Ding Khanh Pham Dan Shen Genshe Chen Department of Electrical and Computer Engineering Temple University Philadelphia PA Department of Electrical and Computer Engineering Wichita State University Wichita KS Air Force Research Laboratory Kirtland Air Force Base NM Intelligent Fusion Technology Inc. Germantown MD

Accurate localization and effective suppression of ground electromagnetic interference (EMI) signals are critical to maintaining uninterrupted satellite operations and the quality of services. For EMI sources emitting certain waveforms, such as continuous-wave or phase shift keying signals, their localization exploiting the time-varying Doppler signature due to satellite motion is an attractive approach. The high-speed motions and complicated orbits of satellites render the Doppler signatures varying with a high dynamic range and nonlinear instantaneous frequency signatures. As such, their processing requires high complexity which may not be practical for real-time processing, particularly for on-orbit satellite implementation for which the computational capability is highly limited. In this paper, we develop a low-complexity approach to iteratively estimate both the location and Doppler signatures of EMI signals. We introduce virtual ground references around the sensed scenarios and compute the Doppler difference between the measured results and the predicted ones for the virtual ground reference positions. By considering such Doppler difference in lieu of the Doppler frequencies, the Doppler dynamic range and the slope of the instantaneous frequency signatures are reduced to facilitate more effective time-frequency analysis and EMI source localization. We further consider the use of multiple virtual ground references for performance improvement, and a simple EMI localization approach is proposed through the interpolation of the Doppler difference frequencies observed at these virtual references. The effectiveness of the proposed approach is verified using simulation results.

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Pansharpening Methods Based on a Redundant Contourlet Transform

Pansharpening Methods Based on a Redundant Contourlet Transf...

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2023 International Conference on Earth Observation and Geo-Spatial Information, ICEOGI 2023

作者： Ourabia, Soumeya Baaziz, Nadia Smara, Youcef University Center of Tipaza -Morsli Abdelah-Institut of Sciences Laboratory of Image Processing and Radiation -USTHB Departement of Electronics Tipaza Algeria University of Quebec in Outaouais - Uqo Research Laboratory in Multimedia Information Department of Computer Science and Engineering GatineauQC Canada University of Sciences and Technology Houari Boumediene -USTHB Laboratory of Image Processing and Radiation Faculty of Electrical Engineering Algiers Algeria

ISBN: (纸本)9798350396720

The pansharpening of high-resolution panchromatic (Pan) image and low-resolution multispectral (MS) images represents an important task in the remote sensing field. It allows the joint exploitation of the information derived from both types of images. However, this may cause a distortion of spectral information or a lack in details and structures. The multiresolution analysis using wavelet transforms has proved its efficiency in the pansharpening domain, due to the representation of the image content over different resolution levels. In image fusion applications, we always need more detail information to be incorporated in the pansharpening procedure in order to produce enhanced results. However, the limitation of the wavelet transform to three types of oriented detail coefficients prevents this need from being met. To overcome this limitation, we propose to use the redundant contourlet transform (RCT) which extracts a richer multiscale directional information from the image. For this purpose, two RCT-based pansharpening methods are introduced and suitable data fusion procedures are described. We conducted several experiments on two different datasets acquired respectively by ALSAT-2A and IKONOS satellites. The visual results as well as quantitative results from evaluation metrics demonstrate the performance of the proposed methods. © 2023 IEEE.

关键词： Image enhancement

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Performance Loss Rate Estimation of Fielded Photovoltaic Systems Based on Statistical Change-Point Techniques 2

Performance Loss Rate Estimation of Fielded Photovoltaic Sys...

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2nd International Conference on Energy Transition in the Mediterranean Area, SyNERGY MED 2022

作者： Livera, Andreas Tziolis, Georgios Theristis, Marios Stein, Joshua S. Georghiou, George E. University of Cyprus Pv Technology Laboratory Foss Research Centre for Sustainable Energy Department of Electrical and Computer Engineering Nicosia Cyprus Sandia National Laboratories AlbuquerqueNM United States

ISBN: (数字)9781665461078

ISBN: (纸本)9781665461078

The precise estimation of performance loss rate (PLR) of photovoltaic (PV) systems is vital for reducing investment risks and increasing the bankability of the technology. Until recently, the PLR of fielded PV systems was mainly estimated through the extraction of a linear trend from a time series of performance indicators. However, operating PV systems exhibit failures and performance losses that cause variability in the performance and may bias the PLR results obtained from linear trend techniques. Change-point (CP) methods were thus introduced to identify nonlinear trend changes and behaviour. The aim of this work is to perform a comparative analysis among different CP techniques for estimating the annual PLR of eleven grid-connected PV systems installed in Cyprus. Outdoor field measurements over an 8-year period (June 2006-June 2014) were used for the analysis. The obtained results when applying different CP algorithms to the performance ratio time series (aggregated into monthly blocks) demonstrated that the extracted trend may not always be linear but sometimes can exhibit nonlinearities. The application of different CP methods resulted to PLR values that differ by up to 0.85% per year (for the same number of CPs/segments). © 2022 IEEE.

关键词： Time series

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