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A Defective Ground Structure Design for Reducing Coupling between Microstrip Antenna Arrays

Progress in Electromagnetics Research C 2025年 151卷 123-130页

作者： Xu, Junhao Wang, Yafei Wang, Xiaozhe Li, Zhensong Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing100101 China Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100101 China

In order to reduce the coupling between dense antenna arrays in multiple input multiple output (MIMO) systems, this paper proposes a method to reduce the coupling between microstrip antenna arrays by utilizing a defected ground structure (DGS), which consists of "W"-shaped slits etched in the ground plane. Simulation results show that the structure can achieve −46.6 dB isolation between antenna arrays. To verify the effectiveness of the structure, the microstrip antenna arrays loaded with this DGS are fabricated and measured, and the measured results are consistent with the simulated ones, which verifies the effectiveness of the structure. © 2025, Electromagnetics Academy. All rights reserved.

关键词： Antenna arrays

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Joint Task Offloading and Resource Allocation Strategy for Space-Air-Ground Integrated Vehicular Networks

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清华大学学报自然科学版（英文版） 2025年第3期30卷 1027-1043页

作者： Yuanshuo Gang Yuexia Zhang Zhihai Zhuo School of Information and Communication Engineering Beijing Information Science and Technology UniversityBeijing 100101China Key Laboratory of Modern Measurement and Control Technology Ministry of EducationBeijing Information Science and Technology UniversityBeijing 100101China

Space-Air-Ground integrated Vehicular Network(SAGVN)aims to achieve ubiquitous connectivity and provide abundant computational resources to enhance the performance and efficiency of the vehicular ***,there are still challenges to overcome,including the scheduling of multilayered computational resources and the scarcity of spectrum *** address these problems,we propose a joint Task Offloading(TO)and Resource Allocation(RA)strategy in SAGVN(namely JTRSS).This strategy establishes an SAGVN model that incorporates air and space networks to expand the options for vehicular TO,and enhances the edge-computing resources of the system by deploying edge *** minimize the system average cost,we use the JTRSS algorithm to decompose the original problem into a number of subproblems.A maximum rate matching algorithm is used to address the channel allocation and the Lagrangian multiplier method is employed for computational *** acquire the optimal TO decision,a differential fusion cuckoo search algorithm is *** simulation results demonstrate the significant superiority of the JTRSS algorithm in optimizing the system average cost.

关键词： edge computing Resource Allocation(RA) Space-Air-Ground integrated Vehicular Network(SAGVN) Task Offloading(TO)

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A Study for Inter-Satellite Cooperative Computation Offloading in LEO Satellite Networks

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China Communications 2025年第2期22卷 12-25页

作者： Gang Yuanshuo Zhang Yuexia Wu Peng Zheng Hui Fan Guangteng Key Laboratory of Modern Measurement and Control Technology Ministry of EducationBeijing Information Science and Technology UniversityBeijing 102206China 2 National Innovation Institute of Defense Technology Academy of Military ScienceBeijing 100071China

Low Earth orbit(LEO)satellite networks have the advantages of low transmission delay and low deployment cost,playing an important role in providing reliable services to ground *** paper studies an efficient inter-satellite cooperative computation offloading(ICCO)algorithm for LEO satellite ***,an ICCO system model is constructed,which considers using neighboring satellites in the LEO satellite networks to collaboratively process tasks generated by ground user terminals,effectively improving resource utilization ***,the optimization objective of minimizing the system task computation offloading delay and energy consumption is established,which is decoupled into two *** terms of computational resource allocation,the convexity of the problem is proved through theoretical derivation,and the Lagrange multiplier method is used to obtain the optimal solution of computational *** deal with the task offloading decision,a dynamic sticky binary particle swarm optimization algorithm is designed to obtain the offloading decision by *** results show that the ICCO algorithm can effectively reduce the delay and energy consumption.

关键词： computation offloading inter-satellite co-operation LEO satellite networks

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Broadband and perfect terahertz absorber based on multilayer metamaterial with cross-ring patterned structures

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Optoelectronics Letters 2025年第1期21卷 1-6页

作者： WEN Jin LIU Zhanzhi WU Zhengwei PAN Yu ZHANG Ying School of Science Xian Shiyou UniversityXi'an 710065China Shaanxi Key Laboratory of Measurement and Control Technology for Oil and Gas Wells Xi'an 710065China

Broadband and perfect terahertz absorber based on multilayer metamaterial using cross-ring patterned structures is proposed and *** structure of the absorber is double absorption layers consisting of a chromium cross ring and eight isosceles right *** unique structure of the double absorbing layers excites the electric dipole multimode resonance,giving rise to high absorption ***,the influence of construal parameters on absorber behavior is also *** numerical results show that the absorption achieves over 90%ranging from 2.45 THz to 6.25 THz and 99%absorption in the range of 3.7—5.3 *** realization of broadband and perfect absorber is described using the impedance matching *** is obviously found that the absorber is insensitive to the high angle of incidence for both transverse electric(TE)and transverse magnetic(TM)*** with the former reports,this absorber has remarkable improved absorption efficiency and smaller *** terahertz absorber may be found applications in the fields of energy capture and thermal detection.

关键词： polarization absorber perfect

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Reactive Power Optimization Model of Active Distribution Network with New Energy and Electric Vehicles

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Energy Engineering 2025年第3期122卷 985-1003页

作者： Chenxu Wang Jing Bian Rui Yuan Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control&Renewable Energy TechnologyMinistry of EducationJilin132011China

Considering the uncertainty of grid connection of electric vehicle charging stations and the uncertainty of new energy and residential electricity load,a spatio-temporal decoupling strategy of dynamic reactive power optimization based on clustering-local relaxation-correction is ***,the k-medoids clustering algorithm is used to divide the reduced power scene into ***,the discrete variables and continuous variables are optimized in the same period of ***,the number of input groups of parallel capacitor banks(CB)in multiple periods is fixed,and then the secondary static reactive power optimization correction is carried out by using the continuous reactive power output device based on the static reactive power compensation device(SVC),the new energy grid-connected inverter,and the electric vehicle charging *** to the characteristics of the model,a hybrid optimization algorithm with a cross-feedback mechanism is used to solve different types of variables,and an improved artificial hummingbird algorithm based on tent chaotic mapping and adaptive mutation is proposed to improve the solution *** simulation results show that the proposed decoupling strategy can obtain satisfactory optimization resultswhile strictly guaranteeing the dynamic constraints of discrete variables,and the hybrid algorithm can effectively solve the mixed integer nonlinear optimization problem.

关键词： Active distribution network new energy electric vehicles dynamic reactive power optimization kmedoids clustering hybrid optimization algorithm

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Orthogonal Time Frequency Space with Sub-Band Index Modulation

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IEEE Communications Letters 2025年第5期29卷 1047-1051页

作者： Zhang, Si-Yu Zhang, Yue-Xia Shahrrava, Behnam Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Ministry of Education Key Laboratory of Information and Communication Systems Ministry of Information Industry School of Information and Communication Engineering Beijing100101 China University of Windsor Department of Electrical and Computer Engineerning Windsor N9B 3P4 Canada

This letter proposes an innovative orthogonal time-frequency space with sub-band index modulation (OTFS-SBIM) scheme. To overcome the complexity and spectral efficiency (SE) limitations inherent in the OTFS-IM, this study introduces a transmission mechanism where sub-carriers are equally divided into two sub-bands, and the index modulation (IM) operations are restricted to a single sub-band. To offset the potential SE loss, the proposed OTFS-SBIM employs a band-controlling bit β and performs IM independently in the in-phase and quadrature (I/Q) dimensions. These improvements ensure both the diversity gain and enhanced bit error rate (BER) performance. Further, a low-complex maximum likelihood (ML) detection is proposed for bit recovery. Finally, analytical expressions for average bit error probability (ABEP) and peak-to-average power ratio (PAPR) are derived and used to evaluate the OTFS-SBIM’s performance. Simulation results demonstrate that the proposed scheme outperforms the OTFS-IM scheme in terms of the BER and PAPR metrics while maintaining higher SE. © 1997-2012 IEEE.

关键词： Signal modulation

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Channel pruning method driven by similarity of feature extraction capability

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Soft Computing 2025年第2期29卷 1207-1226页

作者： Sun, Chuanmeng Chen, Jiaxin Li, Yong Wang, Yu Ma, Tiehua State Key Laboratory of Dynamic Measurement Technology North University of China Shanxi Taiyuan030051 China School of Electrical and Control Engineering North University of China Shanxi Taiyuan030051 China State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing University Chongqing400044 China

Channel pruning is a method to compress convolutional neural networks, which can significantly reduce the number of model parameters and the computational amount. Current methods that focus on the internal parameters of a model and feature mapping information rely on artificially set a priori criteria or reflect filter attributes by partial feature mapping, which lack the ability to analyze and discriminate the channel feature extraction and ignore the basic reasons for the similarity of the channels. This study developed a pruning method based on similar structural features of channels, called SSF. This method focuses on analysing the ability to extract similar features between channels and exploring the characteristics of channels producing similar feature mapping. First, adaptive threshold coding was introduced to numerically transform the channel characteristics into structural features, and channels with similar coding results could generate highly similar feature mapping. Secondly, the spatial distance was calculated for the structural features matrix to obtain the similarity between channels. Moreover, in order to keep rich channel classes in the pruned network, different class cuts were made on the basis of similarity to randomly remove some of the channels. Thirdly, considering the differences in the overall similarity of different layers, this study determined the appropriate pruning ratio for different layers on the basis of the channel dispersion degree reflected by the similarity. Finally, extensive experiments were conducted on image classification tasks, and the experimental results demonstrated the superiority of the SSF method over many existing techniques. On ILSVRC-2012, the SSF method reduced the floating-point operations (FLOPs) of the ResNet-50 model by 57.70% while reducing the Top-1 accuracy only by 1.01%. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Convolutional neural networks

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Application of phononic crystals in modern engineering vibration and noise control, a review

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Noise and Vibration Worldwide 2025年第4-5期56卷 224-241页

作者： Huang, Wei Xu, Jian Yao, Yi Zhang, Yongliang Wang, Xin Han, Pengbo SINOMACH Academy of Science and Technology Co. Ltd SINOMACH Research Center of Engineering Vibration Control Technology Beijing100080 China Beijing China CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern Mechanics University of Science and Technology of China Anhui China Key Laboratory of Vibration Control for Key Process Equipment of Major Scientific Infrastructure in the Machinery Industry Beijing China

Phononic crystals are composite materials consisting of periodically distributed inclusions, and this structure enables wave band gaps under specific conditions. This characteristic allows for the suppression of elastic waves within certain frequency ranges, offering a new approach to vibration reduction and noise control. In this study, phononic crystals, with their periodic structure, tunable bandgap properties, topology optimization, and additive manufacturing technology, are reviewed. Some key hot issues, such as low-frequency vibration and noise control, intelligent materials, and tunable bandgap design, are discussed. In the future, phononic crystals will play a significant role in barrier vibration isolation, rail transit vibration isolation, power equipment vibration isolation, precision equipment vibration isolation, noise control, and underground protection engineering. This study constitutes a systematic summary and outlook of phononic crystals in modern engineering vibration and noise control. © The Author(s) 2025.

关键词： Precision engineering

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Braille Recognition Based on A Dual-Mode Tactile Sensor with Piezoresistive and Piezoelectric Properties by the CNN-ResNet-BiLSTM Fusion Model

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IEEE Sensors Journal 2025年第9期25卷 14473-14483页

作者： Song, Yang Liu, Meng-Ru Wang, Fei-Lu Zhu, Jing-Gen Hu, An-Yang Anhui Jianzhu University Key Laboratory of Building Information Acquisition and Measurement Control Technology Hefei230601 China Anhui Jianzhu University School of Electronic and Information Engineering Hefei230601 China

Skin-like, flexible tactile sensors play a crucial role in health-care and human-computer interaction. Based on multi-walled carbon nanotube (MWCNT)/cotton fabric (CF) piezoresistive sensor and polyvinylidene fluoride (PVDF) piezoelectric sensor, a dual-mode tactile sensor (MCP-DTS) featuring high sensitivity, excellent synergistic response, and stability is fabricated in conjunction with finite element analysis. The sensor is affixed to the stepper and slides uniformly across 25 different Braille character texture boards. Then, 3000 sets of sequential voltage data with 3500 dimensions and 2 channels collected by the sensor are used to form a dataset. On this basis, a CNN-ResNet-BiLSTM fusion model combining convolutional neural network (CNN), residual network (ResNet), and bidirectional long short-term memory (BiLSTM) is developed. This model demonstrates a robust feature extraction capability, achieving a high recognition accuracy (97.17%) for 25 different types of Braille. To verify the actual performance of the sensor, it is installed on the index finger to simulate the experience of a visually impaired person swiping to read Braille. Subsequently, the fusion model achieves high classification accuracy (89.17%) for Braille tactile perception. The dual-mode tactile sensor presented in this paper demonstrates exceptional capability in perceiving tactile information and can effectively distinguish and recognize various types of tactile signals in Braille. © 2001-2012 IEEE.

关键词： Piezoelectricity

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Adaptive Multi-Objective Shift Strategy for Heavy-duty Vehicle Based on Performance State Evaluation of the Transmission Mechanism

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IEEE Transactions on Instrumentation and measurement 2025年

作者： Wang, Liyong Huang, Xiaozan Wu, Jianpeng Li, Pengpeng Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing100192 China

Heavy tracked vehicles frequently operate in intricate and demanding driving conditions, where the powertrain, a core component, inevitably experiences performance degradation due to mileage accumulation. This degradation not only undermines vehicle reliability but also constrains the full utilization of its capabilities. To address these challenges, this study proposes a multi-objective optimization approach to developing an adaptive shift strategy that balances the vehicle’s power, fuel economy, and reliability performance. The optimization problem is tackled using the NSGA-II algorithm, which generates the Pareto front of shift speeds by considering the vehicle’s power, economy, and reliability performance. The optimal shift speeds are adaptively selected based on the transmission mechanism performance states, which are calculated using the fuzzy comprehensive evaluation model. During acceleration from 0 to 80 km/h, total friction work is reduced by 6.59% and 23% when the performance state scores are 70 and 40, respectively, compared to a score of 90. Additionally, the maximum jerk is reduced by 45.07% at a score of 40 compared to a score of 90. These reductions in friction work and jerk decrease wear on the transmission mechanism system, thus improving vehicle reliability. © 1963-2012 IEEE.

关键词： Automobile transmissions

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