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

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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Adaptive SSO Suppressor Based on SVD-Prony Algorithm in PV Grid-Connected System

Adaptive SSO Suppressor Based on SVD-Prony Algorithm in PV G...

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International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Liang, Liyuan Sun, Dongyang Liu, Jinfeng School of Electrical and Electronic Engineering Harbin University of Science and Technology Heilongjiang Harbin150080 China School of Measurement Control Technology and Communication Engineering Harbin University of Science and Technology Heilongjiang Harbin150080 China

ISBN: (纸本)9789819618514

The risk of sub-synchronous oscillation of PV grid-connected system is increased by the decrease of power grid strength or the disturbance of DC voltage. It is theoretically necessary and engineering urgent to study the mechanism of sub-synchronous oscillation of PV grid-connected system and put forward corresponding suppression strategies. In this paper, a dq synchronous rotating coordinate system control model of PV grid-connected system with subsynchronous oscillation is established, and the influence of subsynchronous oscillation on PV grid-connected system is analyzed according to the model. An adaptive SSO suppressor based on SVD-Prony algorithm is designed to track and suppress sub-synchronous oscillations that vary in each frequency band. This algorithm can extract the effective mode information of the subsynchronous oscillation in PV grid-connected system, and then update it to the central resonant frequency of the suppressor, and generate the output which can compensate the subsynchronous oscillation component in the closed-loop control system. Finally, a simulation experiment platform is set up to verify the effectiveness of the suppression strategy proposed in this paper. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Closed loop control systems

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Sub-Synchronous Oscillation Suppression Strategy Research for Grid-Forming Direct-Drive Permanent Magnet Synchronous Generator Based on Adaptive Notch Filter

Sub-Synchronous Oscillation Suppression Strategy Research fo...

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International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Sun, Dongyang Jiao, Yingzi Liu, Jinfeng School of Electrical and Electronic Engineering Harbin University of Science and Technology Heilongjiang Harbin150080 China School of Measurement Control Technology and Communication Engineering Harbin University of Science and Technology Heilongjiang Harbin150080 China

ISBN: (纸本)9789819620791

When sub-synchronous oscillations (SSO) occur in power grid, they can affect control performance of grid-side converter (GSC) for direct-drive permanent magnet synchronous generators (D-PMSG), thereby impacting overall stability of system. To address this issue, this paper proposes a suppression strategy for SSO based on adaptive notch filter (ANF). Firstly, the mechanism by which grid SSO affects GSC control of D-PMSG based on virtual synchronous generator (VSG) is analyzed, and disturbance propagation path of SSO component is delineated. Secondly, to overcome problem that fixed-parameter notch filters are unsuitable for time varying characteristics of SSO frequencies, an improved fast Fourier transform-based algorithm for identifying SSO parameters is proposed. Based on identification results, a strategy for updating center frequency of ANF is designed. Optimal intervention point of ANF in control system is determined. Finally, by constructing a simulation model, the effectiveness of proposed control strategy for suppressing SSO is verified. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Adaptive filters

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SSO Suppression Strategy for Adaptive PV Power Generation System Based on Quasi-Resonant control

SSO Suppression Strategy for Adaptive PV Power Generation Sy...

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International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Sun, Dongyang Han, Chuang Liu, Jinfeng School of Electrical and Electronic Engineering Harbin University of Science and Technology Heilongjiang Harbin150080 China School of Measurement Control Technology and Communication Engineering Harbin University of Science and Technology Heilongjiang Harbin150080 China

ISBN: (纸本)9789819618514

Moving cloud shadows in the region where a large-scale PV power plant is located will cause the DC voltage output of some PV arrays to be perturbed, and the inter-harmonic component will be output to the grid, which will lead to sub-synchronous oscillations of PV power generation systems that are normally operated at the same grid. In this paper, firstly, the output characteristics of PV arrays under moving cloud shadows are investigated, and the generation mechanism of inter-harmonics in PV power generation system is analyzed through the small-signal perturbation model, which elucidates the reasons for the occurrence of sub-synchronous oscillations in PV power generation system triggered by the inter-harmonics;secondly, the influence of the change of the sub-synchronous oscillation frequency on the resonance suppression strategy is explored, and a sub-synchronous oscillation suppression strategy based on the proportional resonance control is designed for suppression of Finally, the effectiveness of the proposed suppression strategy is verified by simulation. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Harmonic analysis

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Research on Integrated Inertia control Strategy of Hydrogen Production System with Wind Power Permeability

Research on Integrated Inertia Control Strategy of Hydrogen ...

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International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

作者： Sun, Dongyang Zhou, Yanbing Liu, Jinfeng School of Electrical and Electronic Engineering Harbin University of Science and Technology Heilongjiang Harbin150080 China School of Measurement Control Technology and Communication Engineering Harbin University of Science and Technology Heilongjiang Harbin150080 China

ISBN: (纸本)9789819620791

High proportion of new energy and high proportion of power electronic equipment in the power system, the problem of frequency safety is becoming increasingly prominent. It is the key of high permeability grid connection of wind power to realize virtual inertia support by rational use of energy reserve of wind storage hydrogen production system. In this paper, based on the improved system frequency response model considering wind power permeability, the dynamic response equation of system frequency is derived to analyze the influence of wind power permeability on the system frequency stability. Secondly, according to the definition of inertia time constant of synchronous unit, the virtual inertia time constant of electric hydrogen production and supercapacitor is established, the required inertia of the system is evaluated with the system frequency change rate as the safety constraint condition, and the inertia distribution strategy of the air storage hydrogen production system is proposed. Finally, a simulation model of hydrogen production system from wind storage is built to verify that the frequency stability of the system can be significantly improved under the proposed control strategy. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Frequency stability

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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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Robust Federated Learning Algorithm Based on Chaotic Encryption and Dual-Server Detection

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IEEE Internet of Things Journal 2025年

作者： Kang, Shouqiang Wu, Yuxuan Wang, Yujing Wang, Qingyan Liang, Xintao Harbin University of Science and Technology School of Measurement and Control Technology and Communication Engineering Harbin150080 China

Federated learning allows users to collaboratively train models, but studies have shown that local model parameters may leak users’ privacy. Furthermore, the global model in federated learning could be compromised by Byzantine attacks. To address these issues, a robust federated learning algorithm based on chaotic encryption and dual-server detection (CDRFL) is proposed. First, CDRFL introduces a lightweight chaotic encryption method, where ciphertexts have a unique property of mutual cancellation, allowing the plaintext global model parameters to be derived without decryption. Moreover, CDRFL allows users to encrypt with different keys, further reducing the risk of privacy leakage. Next, a dual-server detection scheme is designed to defend against Byzantine attacks while preserving user privacy. Lastly, a reputation score mechanism with a forgetting function is proposed to fairly distinguish Byzantine participants. Experimental results demonstrate that, compared with popular robust aggregation schemes, CDRFL improves testing accuracy by 3.26% to 9.06%. When compared to existing chaotic encryption federated learning schemes, CDRFL enhances the ability to defend against Byzantine attacks and reduces time and communication overhead by 73.63% and 95.40%, respectively. © 2014 IEEE.

关键词： Federated learning

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Graph Convolutional Networks with Visual Masking and Social Interaction Models for Pedestrian Trajectory Prediction

Graph Convolutional Networks with Visual Masking and Social ...

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Consumer Electronics and Computer engineering (ICCECE), 2021 IEEE International Conference on

作者： Guopei Zeng Luping Wang School of Electronics and Communication Engineering Sun Yat-sen University Shenzhen China Zhejiang Aerospace Runbo Measurement and Control Technology Co. Ltd Zhejiang China

ISBN: (数字)9798331533113

ISBN: (纸本)9798331533120

Pedestrian trajectory prediction is critical for autonomous driving, crowd analysis, and urban surveillance. To address insufficient interaction modeling in existing methods, we propose two enhancements. First, a field-of-view(FoV)-aware masking mechanism filters irrelevant interactions by dynamically adjusting to pedestrian distances and motion directions. Second, we introduce a more detailed modeling of the influence among pedestrians, replacing the traditional modeling based on reciprocal of distance. This model, integrated with FoV masks to construct sparse adjacency matrices for graph convolution. A temporal convolutional network then predicts trajectories as bivariate Gaussian distributions. Evaluations on ETH and UCY benchmarks demonstrate the effectiveness of our method.

关键词： Analytical models Visualization Pedestrians Filters Surveillance Predictive models Benchmark testing Vectors Trajectory Sparse matrices

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A Review of Machine Tool Motorized Spindle Variable Pressure Preload Technology Research

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Recent Patents on engineering 2025年第5期19卷

作者： Dai, Ye Deng, Hao Pan, Gaofeng Chen, Xinda Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of Education School of Mechanical and Power Engineering Harbin University of Science and Technology Harbin150080 China School of College of Measurement and Control Technology and Communication Engineering Harbin University of Science and Technology Harbin150080 China

High-precision spindles are a vital study topic because of the growing demand for high-speed, high-precision, reliable, and long-lasting machine tools. Bearing preload is the primary means of improving the accuracy of the spindle rotor system. This patent study aims to summarize the research results, systematically analyze and evaluate the machine tool motorized spindle variable pressure preload technology, and provide a scientific basis for the practical application of the motor spindle variable pressure preload technology. This study is an in-depth analysis of the basic principles of the electric spindle preloading technology, the study of its influence mechanism on the thermal deformation, stiffness, slewing error, and life of the spindle system, and a discussion of the current shortcomings in the field of spindle preloading to provide a reference for the subsequent optimization. In the spindle system, the performance of rolling bearings and the design of bearing preload have an important impact on the spindle's accuracy and stability. The traditional preload method has yet to meet the requirements of modern high-speed machine tools. Real-time controllable preload has become the new direction of development, but the current preload technology still has certain limitations and needs to be further improved. In the future, the spindle bearing variable pressure preload technology will be more efficient and intelligent. © 2025 Bentham Science Publishers.

关键词： Machine tools

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Non-contact all-optic OCT–PAM imaging with shared detection light

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Applied Optics 2025年第13期64卷 3431-3437页

作者： Ding, Ning Xiang, Ben Jiang, Huiwen Yue, Jinyun Yu, Yao Liu, Jian Zhao, Yuqian Luan, Jingmin Yang, Yanqiu Wang, Yi Ma, Zhenhe College of Information Science and Engineering Northeastern University Shenyang 110819 China School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao 066004 China Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology Qinhuangdao 066004 China School of Computer and Communication Engineering Northeastern University at Qinhuangdao Qinhuangdao 066004 China

We proposed a non-contact all-optic OCT–PAM dual-modal system based on a single detection light source. A homodyne low-coherence interferometer was adopted to detect the vibration induced by photoacoustic excitation. The optical coherence tomography (OCT) and photoacoustic microscopy (PAM) shared the same broadband light source for signal detection, thus simplifying the dual-modal system and making it compact. Using the proposed system, we performed absorption-scattering imaging of human hairs, measured the femoral artery and vein flow rates in mice, and imaged the auricle blood vessels in mice in vivo. The combination of OCT and PAM can provide complementary biological tissue information and offer a richer reference for the diagnosis of diseases. © 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.

关键词： Biomedical imaging Fabry Perot interferometers Imaging systems Imaging techniques Optical imaging Tissue imaging

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