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arXiv 2024年

作者： Peng, Zhangjie Zhu, Jianchen Pan, Cunhua Zhang, Zaichen da Costa, Daniel Benevides Elkashlan, Maged Karagiannidis, George K. The College of Information Mechanical and Electrical Engineering Shanghai Normal University Shanghai200234 China The National Mobile Communications Research Laboratory Southeast University Nanjing210096 China The Department of Electrical Engineering King Fahd University of Petroleum & Minerals Dhahran31261 Saudi Arabia The School of Electronic Engineering and Computer Science Queen Mary University of London LondonE1 4NS United Kingdom The Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki54124 Greece Lebanon

Active reconfigurable intelligent surface (RIS) has attracted significant attention as a recently proposed RIS architecture. Owing to its capability to amplify the incident signals, active RIS can mitigate the multiplicative fading effect inherent in the passive RIS-aided system. In this paper, we consider an active RIS-aided uplink multi-user massive multiple-input multiple-output (MIMO) system in the presence of phase noise at the active RIS. Specifically, we employ a two-timescale scheme, where the beamforming at the base station (BS) is adjusted based on the instantaneous aggregated channel state information (CSI) and the statistical CSI serves as the basis for designing the phase shifts at the active RIS, so that the feedback overhead and computational complexity can be significantly reduced. The aggregated channel composed of the cascaded and direct channels is estimated by utilizing the linear minimum mean square error (LMMSE) technique. Based on the estimated channel, we derive the analytical closed-form expression of a lower bound of the achievable rate. The power scaling laws in the active RIS-aided system are investigated based on the theoretical expressions. When the transmit power of each user is scaled down by the number of BS antennas M or reflecting elements N, we find that the thermal noise will cause the lower bound of the achievable rate to approach zero, as the number of M or N increases to infinity. Moreover, an optimization approach based on genetic algorithms (GA) is introduced to tackle the phase shift optimization problem. Numerical results reveal that the active RIS can greatly enhance the performance of the considered system under various settings. Copyright © 2024, The Authors. All rights reserved.

关键词： Genetic algorithms

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Instruction Cues Increase Brain Network Complexity During Movement Preparation

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Journal of Shanghai Jiaotong university(Science) 2022年第2期27卷 202-210页

作者： WANG Ning ZHANG Lipeng ZHANG Rui MA Liuyang NIU Deyuan ZHANG Yankun ZHAO Hui HU Yuria The 27th Research Institute of China Electronics Technology Group Corporation Zhengzhou450047China School of Electrical Engineering Zhengzhou UniversityZhengzhou450001China Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology Zhengzhou450001China Zhengzhou Buen Technology Company Zhengzhou450001China Henan Institute of Metrology Zhengzhou450018China

Instruction cues are widely employed for research on neural mechanisms during movement ***,their influence on brain connectivity during movement has not received much ***,15 healthy subjects completed two experimental tasks including either instructed or voluntary movements;meanwhile electroencephalogram(EEG)data were synchronously *** on source analysis and related literature,six movement-related brain regions were selected,including the left/right supplementary motor area(SMA),left/right inferior frontal gyrus(iFg),and left/right postcentral gyrus(pCg).After assuming 10 a priori models of regional brain connectivity,we evaluated the optimal connectivity model between brain regions for the two scenarios using the dynamic causality model(DCM).During voluntary movement,the movement originated in the SMA,passed through the iFg of the prefrontal lobe,and then returned to the main sensory cortex of the *** the instructed movement,the movement originated in the iFg,and then was transmitted to the pCg and the SMA,as well as from the pCg to the *** contrast to the preparation process of voluntary movement,there were long-range information interactions between the iFg and ***,almost the same brain regions were active during movement preparation under both voluntary and instructed movement tasks,which evidences certain similarities in dynamic brain connectivity,that is,the brain has direct connections between the bilateral SMA,bilateral pCg,and bilateral SMA,indicating that the both brain hemispheres work together during the movement preparation *** results suggest that the network during the preparation process of instructed movements is more complex than voluntary movements.

关键词： electroencephalogram(EEG) dynamic causality model(DCM) voluntary movement instructed movement movement preparation

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Comparison of Electromagnetic Transient and Phasor Dynamic Simulations: Implications for Inverter Dominated systems

Comparison of Electromagnetic Transient and Phasor Dynamic S...

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Innovative Smart Grid Technologies (ISGT)

作者： R. W. Kenyon B. Wang A. Hoke J. Tan B. M. Hodge Electrical Computer and Energy Engineering (ECEE) Renewable and Sustainable Energy Institute (RASEI) at the University of Colorado Boulder Boulder CO USA National Renewable Energy Laboratory (NREL) Power Systems Engineering Center Golden CO USA

The simulation of very high shares of inverter-based resources in power systems has begun to draw into question the validity of phasor domain tools in capturing relevant dynamics. Electromagnetic transient simulators can capture the dynamics of power electronics with substantially smaller time steps, but are computationally expensive. This work contrasts the results of phasor domain and electromagnetic transient tools for simulations on a validated model of the Maui power system operating at very high inverter-based resource shares with near zero voltage forming devices. The results show that the phasor domain tool predicts optimistic stability with fewer voltage forming elements on the network, and loses computational stability before the electromagnetic transient tool. As the electromagnet transient model is of the entire system, and system-wide discrepancies are observed, this case study of a physical power system highlights the potential need for system-wide detailed modeling during periods of very high shares of inverter-based resources and few voltage forming devices.

关键词： Computational modeling Power system dynamics Voltage Power system stability Dynamic scheduling Stability analysis systems simulation

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Cooperative Relaying for Connected Construction Equipment Networks with Hybrid Hierarchical Proximal Policy Optimization

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IEEE Transactions on Communications 2024年

作者： Ning, Pengfei Wang, Hongwei Tang, Tao Zhang, Jie Chen, Changji Niyato, Dusit Richard Yu, F. Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation Beijing China Beijing Jiaotong University Collaborative Innovation Center of Railway Traffic Safety Beijing China Nanyang Technological University School of Computer Science and Engineering Singapore Beijing Jiaotong University School of Automation and Intelligence Beijing China Carleton University Department of Systems and Computer Engineering OttawaONK1S 5B6 Canada

The communication network in a tunnel construction site facilitates real-time data exchange, and serves as a backbone for successfully executing construction projects. However, the long and closed spaces, irregular surfaces, and variable topology as tunnel excavation impose rigorous limitations on signal propagation, communication quality and coverage. To alleviate the realistic issues, we introduce a holistic three-phase cooperative relay scheme based on 5G New Radio (NR) vehicle-to-everything (V2X) architecture, which can extend the communication range and enhance network throughput. We theoretically derive the outage probability of the entire cooperative relaying process from source to destination, and quantify the impact of relaying on construction workflow with relay cost. To minimize the outage probability and relay cost, we formulate a cooperative relay strategies optimization problem and transform the solving procedure into a Markov decision process (MDP). We design a hybrid hierarchical proximal policy optimization (HH-PPO) reinforcement learning method to solve the MDP, which consists of two discrete actor networks, two continuous actor networks, and two critic networks. The hybrid structure enables HH-PPO to tackle the mixed action space, and the hierarchical structure enables adaptive and contextual actions generation by integrating the discrete network outputs into the continuous actor network. Simulation results validate the effectiveness of the HH-PPO algorithm with faster convergence speed, and show superior performance in terms of lower, stable outage probability and relay cost satisfaction compared with another benchmark. © 1972-2012 IEEE.

关键词： Markov processes

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Dense Network-Based Spectral-Polarization Image Fusion: Multispectral Data Enhancement via Encoder-Decoder Approach 23

Dense Network-Based Spectral-Polarization Image Fusion: Mult...

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Proceedings of the 6th International Conference on Information Technologies and electrical engineering

作者： Shahid Karim Geng Tong Jinyang Li Yiting Yu Muhammad Ibrar Faisal Mehmood Research & Development Institute of Northwestern Polytechnical University in Shenzhen College of Mechanical Engineering Key Laboratory of Micro/Nano Systems for Aerospace Ministry of Education and Shaanxi Province Key Laboratory of Micro and Nano Electro-Mechanical Systems Northwestern Polytechnical University China Software College Shenyang Normal University China School of Electronic and Computer Engineering Peking University ShenZhen Graduate School China

ISBN: (纸本)9798400708299

Images are obtained by perceiving the sunlight reflected by objects or scenes, and due to limited solar irradiance, spatial resolution certainly decreases. In contrast, multispectral sensors hold the spatial information of ground objects even though the obtained images only have a few bands, which means that the obtained images have high spatial but insufficient spectral resolution. To overcome these limitations, we have developed a spectral and polarization image fusion technique that improves several perspectives of image fusion, such as intensity, edges, textures, and substantial information. Our proposed method utilizes an encoder-decoder approach, which contains dense and convolutional blocks to simulate the source images. The polarization images have been used to develop DoLP images that help to improve fused images’ quality. We can perceive the visual quality of fused images from the experimental results.

关键词： Dense module Image fusion Polarization images Spectral images

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Current-induced Néel order switching facilitated by magnetic phase transition

Current-induced Néel order switching facilitated by magneti...

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Magnetic Conference - Short Papers (INTERMAG Short Papers), IEEE International

作者： Hao Wu Hantao Zhang Baomin Wang Yaqin Guo Ran Cheng Kang L. Wang Songshan Lake Materials Laboratory Dongguan China Department of Electrical and Computer Engineering University of California Los Angeles CA USA Department of Electrical and Computer Engineering University of California Riverside CA USA School of Physical Science and Technology Ningbo University Ningbo China CAS Key Laboratory of Magnetic Materials and Devices Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo China

Antiferromagnetic materials (AFMs), which have zero-stray field and the THz-range magnetic resonance frequency, are promising candidates for the next-generation magnetic memory technology. Here, we report an electrical writing of antiferromagnetic orders through a record-low current density on the order of 10 6 A cm -2 facilitated by the unique AFM-ferromagnetic (FM) phase transition in FeRh. The spin-orbit torque can switch the AFM order parameter by 90° with a reduced writing current density by introducing a transient FM state via current-induced Joule heating. This work demonstrates the exciting possibility of writing operations in AFM-based devices with a lower current density, opening a new pathway toward pure AFM memory applications.

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A population randomization-based multi-objective genetic algorithm for gesture adaptation in human-robot interaction

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Science China(Information Sciences) 2021年第1期64卷 188-200页

作者： Luefeng CHEN Wanjuan SU Min LI Min WU Witold PEDRYCZ Kaoru HIROTA School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Department of Electrical and Computer Engineering University of Alberta Tokyo Institute of Technology

In recent years, vision-based gesture adaptation has attracted great attention from many experts in the field of human-robot interaction, and many methods have been proposed and successfully applied, such as particle swarm optimization and genetic algorithm. However, the reduction of the error and energy consumption of a robot while paying attention to more subtle attitude changes is very important and *** view of these problems, we propose a population randomization-based multi-objective genetic *** gesture signal is processed with a slight change by imitating the biological evolution mechanisms. In the proposed algorithm, a random out-of-order matrix is added in the process of population evolution synthesis to prevent the premature grouping convergence of the new population. The weights of the objective function and the elite retention strategy are adopted, and the most adaptable individuals in each generation are inherited directly in the next generation without any recombination or mutation. To verify the effectiveness of the algorithm, preliminary application experiments are performed on the gesture adaptation of a robotic arm. The results are compared with the original signal, and the comparison shows that by using the proposed method, the energy consumption is reduced, and the end error is decreased to less than 3 mm while ensuring the tracking effect of the robotic arm. These obtained results meet the communication requirements for human-robot interactions such as handshakes. Moreover, the proposed method has better performance, uses less energy, and has a smaller tracking error than the particle swarm optimization, the single-objective genetic algorithm, and the traditional multi-objective genetic algorithm. A preliminary application experiment indicates that the robotic arm can adapt to human gestures in real time.

关键词： multi-objective genetic algorithm gesture adaptation human-robot interaction

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Human Machine Interface with Wearable Electronics Using Biodegradable Triboelectric Films for Calligraphy Practice and Correction

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Nano-Micro Letters 2022年第12期14卷 630-644页

作者： Shen Shen Jia Yi Zhongda Sun Zihao Guo Tianyiyi He Liyun Ma Huimin Li Jiajia Fu Chengkuo Lee Zhong Lin Wang Jiangsu Engineering Technology Research Center for Functional Textiles Jiangnan UniversityNo.1800 Lihu AvenueWuxiP.R.China Department of Electrical and Computer Engineering National University of Singapore4 Engineering Drive 3Singapore 117576Singapore CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-Nano Energy and SensorBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 100083P.R.China China National Textile and Apparel Council Key Laboratory of Natural Dyes Soochow UniversitySuzhou 215123People’s Republic of China School of Material Science and Engineering Georgia Institute of TechnologyAtlantaGA 30332-0245USA

Letter handwriting,especially stroke correction,is of great importance for recording languages and expressing and exchanging ideas for individual behavior and the *** this study,a biodegradable and conductive carboxymethyl chitosan-silk fibroin(CSF)film is prepared to design wearable triboelectric nanogenerator(denoted as CSF-TENG),which outputs of V_(oc)≈165 V,I_(sc)≈1.4μA,and Q_(sc)≈72 mW cm^(−2).Further,in vitro biodegradation of CSF film is performed through trypsin and *** results show that trypsin and lysozyme have stable and favorable biodegradation properties,removing 63.1%of CSF film after degrading for 11 ***,the CSF-TENG-based human-machine interface(HMI)is designed to promptly track writing steps and access the accuracy of letters,resulting in a straightforward communication media of human and *** CSF-TENG-based HMI can automatically recognize and correct three representative letters(F,H,and K),which is benefited by HMI system for data processing and *** CSF-TENG-based HMI can make decisions for the next stroke,highlighting the stroke in advance by replacing it with red,which can be a candidate for calligraphy practice and ***,various demonstrations are done in real-time to achieve virtual and real-world controls including writing,vehicle movements,and healthcare.

关键词： Letter handwriting Triboelectric nanogenerator Biodegradable Human-machine interface Calligraphy practice

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Advancements in UAV-based Integrated Sensing and Communication: A Comprehensive Survey

arXiv

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arXiv 2025年

作者： Ahmed, Manzoor Nasir, Ali Arshad Masood, Mudassir Memon, Kamran Ali Qureshi, Khurram Karim Khan, Feroz Khan, Wali Ullah Xu, Fang Han, Zhu School of Computer and Information Science Institute for AI Industrial Technology Research Hubei Engineering University Xiaogan432000 China Interdisciplinary Research Center for Communication Systems and Sensing King Fahd University of Petroleum and Minerals Dhahran31261 Saudi Arabia Department of Electrical Engineering King Fahd University of Petroleum and Minerals Dhahran31261 Saudi Arabia School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing China University of Luxembourg Luxembourg City1855 Luxembourg Department of Electrical and Computer Engineering The University of Houston HoustonTX77004 United States Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of

Unmanned aerial vehicle (UAV)-based integrated sensing and communication (ISAC) systems are poised to revolutionize next-generation wireless networks by enabling simultaneous sensing and communication (S&C). This survey comprehensively reviews UAV-ISAC systems, highlighting foundational concepts, key advancements, and future research directions. We explore recent advancements in UAV-based ISAC systems from various perspectives and objectives, including advanced channel estimation (CE), beam tracking, and system throughput optimization under joint sensing and communication S&C constraints. Additionally, we examine weighted sum rate (WSR) and sensing trade-offs, delay and age of information (AoI) minimization, energy efficiency (EE), and security enhancement. These applications highlight the potential of UAV-based ISAC systems to improve spectrum utilization, enhance communication reliability, reduce latency, and optimize energy consumption across diverse domains, including smart cities, disaster relief, and defense operations. The survey also features summary tables for comparative analysis of existing methodologies, emphasizing performance, limitations, and effectiveness in addressing various challenges. By synthesizing recent advancements and identifying open research challenges, this survey aims to be a valuable resource for developing efficient, adaptive, and secure UAV-based ISAC systems. Copyright © 2025, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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3D Modeling for a Flexible Detector in VR Radiography Simulator

3D Modeling for a Flexible Detector in VR Radiography Simula...

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International Conference on Information Technologies in engineering Education (Inforino)

作者： Vladimir Kuvshinnikov Evgeny Kovshov Valery Korchagin Research Laboratory of Digital Computer Systems and Automation JSC “Research and Development Institute of Construction Technology - Atomstroy” Moscow Russian Federation Disruptive Engineering School of Chemical Engineering and Machinery Dmitry Mendeleev University of Chemical Technology of Russia Moscow Russian Federation

ISBN: (数字)9798350371369

ISBN: (纸本)9798350371376

Digital simulators based on virtual reality expand the range of educational opportunities and improve the quality of learning in various areas of knowledge through deeper “immersion” in the learning process. Attention to the details of the modeled process plays an important role. One of the tasks of interactive simulators is to provide an opportunity to see the relationship between the user’s actions and the obtained qualitative and quantitative parameters and quality attributes of the simulated process result. Considered the issue of curved shape detectors application relevance in the practice of penetrating radiation evaluation in general and in industrial radiography in particular. The prerequisites for the creation of flexible (bendable) form of digital radiographic detectors and the features of two generations of practically implemented devices are analyzed. Development of a flexible detector digital twin is considered, models and algorithms for its realization in a virtual reality environment are proposed, and the main results of computational and laboratory experiments as well as the obtained radiographic images are presented. The main task of virtual reality technologies within the qualified technical specialists training programs is the development of their professional skills and the formation of stable behavior patterns that ensure strict compliance with the rules and requirements of industrial safety, thereby ensuring the high quality of the end product.

关键词： Radiography Training Solid modeling Ionizing radiation Computational modeling Detectors Virtual reality

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