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5th International Conference on Video, Signal and Image Processing, VSIP 2023

作者： Li, Ziyi Wang, Lijie Sun, Jianbo Lu, Xinyu Zhu, Xianwen School Of Measurement And Control Technology And Communication Engineering Harbin University Of Science And Technology China

ISBN: (纸本)9798400709272

In this paper, the fault analysis of crystalline silicon photovoltaic modules is studied. The Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA) methods are used to analyze the failure mode and its causes. Based on the results of fault analysis, the infrared image analysis and recognition methods are studied for the two fault modes of infrared hot spot and component shedding of Photovoltaic(PV) modules. The YOLOv5s image recognition method based on clustering improvement and feature enhancement is discussed. The experimental results show that the YOLOv5s image recognition algorithm with clustering improvement and feature enhancement improves the training effect of the model by using the EIOU loss function to adaptively adjust the confidence loss balance coefficient, and the detection speed (Frame Per Second, FPS) can reach 42.37 FPS;by adding InRe feature enhancement modules before each detection layer, the extraction ability of target features is improved. The mean Average Precision (mAP) of hot spot and component shedding are 94.85 % and 90.67 %, respectively, which can fully meet the needs of UAV automatic inspection. © 2023 ACM.

关键词： Silicon

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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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FPGA-Oriented Target Detection Accelerator Design 5

FPGA-Oriented Target Detection Accelerator Design

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5th International Conference on Frontiers technology of Information and Computer, ICFTIC 2023

作者： Huang, Weizhe Harbin University of Science and Technology School of Measurement and Control Technology and Communication Engineering Harbin China

ISBN: (纸本)9798350309034

Target detection is widely applied in fields such as face recognition, autonomous driving, and industrial automation. However, when deploying target detection models based on convolutional neural networks on resource-constrained embedded platforms, issues like high computational complexity, long execution times, and significant on-chip memory usage arise. To address these challenges, this paper presents a target detection accelerator design based on Field Programmable Gate Array (FPGA). Firstly, the computational workload of convolutional neural networks is reduced by merging convolutional layers with batch normalization layers. Secondly, to mitigate on-chip storage space concerns, on-chip data fixed-point quantization is employed to decrease on-chip memory consumption. Subsequently, to tackle the issue of long execution times, a convolution calculation module based on the Winograd algorithm is designed, which reduces computation latency. Finally, a dual-buffer pipeline architecture is devised to optimize memory bandwidth. Experimental results demonstrate that the proposed solution accelerates YOLOv4-tiny on the ZYNQ-7020, achieving a performance of 21.35 GOP/s. The energy efficiency is 32.56 times higher than CPU and 9.76 times higher than GPU. Additionally, the convolution calculation module in this paper reduces inference time by 15% compared to the sliding window convolution calculation method. © 2023 IEEE.

关键词： CNN FPGA target detection Winograd algorithm

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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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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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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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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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A strategy for accurate prediction of dielectric permittivity and dielectric strength in polyimide

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High Voltage 2024年第6期9卷 1393-1401页

作者： Yu Wang Changhai Zhang Jiaqi Lin Hongguo Sun Ying Yang Wenlong Yang School of Electrical and Electronic Engineering Harbin University of Science and TechnologyHarbinChina School of Science Harbin University of Science and TechnologyHarbinChina Polymer Composites Engineering Laboratory Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchunChina State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and AstronauticsNanjingChina School of Measurement and Communication Engineering Harbin University of Science and TechnologyHarbinChina

A strategy was proposed to predict accurately the dielectric permittivity and dielectric strength based on the Onsager local field *** molecular dynamic simulation was utilised to analyse the dipole moment fluctuation in polyimide(PI)to reflect the polar-isation response of applied electric *** simulation results revealed that the optical dielectric permittivity and static dielectric permittivity were 2.62 and 3.34,showing that the electronic displacement polarisation of the PI acted as a major *** deviation between simulated and measured values of the frequency-dependent relative dielectric permittivity was no more than 5%,which exhibited high *** the polarisation response of the polar groups in the PI was at infrared frequencies,the conductive loss may be the dominant role in 102–106 Hz at room ***,the effect of Joule heat on the structure,dielectric permittivity and Young modulus was considered to accurately predict the dielectric strength of the PI(359 kV/mm),which was in agreement with experimental values in the *** results establish a clear correlation between structural characteristics and dielectric properties of the PI,which would be the theoretical insights into the design and synthesis of the PI with tailored dielectric properties.

关键词： dielectric strength permittivity

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Multi-Pedestrian Tracking by Decoupling Confidence Weighting and Hierarchical Appearance Embedding Updates 4

Multi-Pedestrian Tracking by Decoupling Confidence Weighting...

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4th International Conference on communication technology and Information technology, ICCTIT 2024

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

ISBN: (纸本)9798331528973

The advent of powerful object detectors has led to the widespread adoption of the 'tracking-by-detection' paradigm in multi-object tracking (MOT). However, challenges such as association errors during occlusions continue to hinder tracking performance. To address this issue, we propose three key improvements. First, we leverage the confidence scores generated by a detector with decoupled heads to weight the cost matrix. Second, we introduce a height-constrained intersection-over-union (IoU) distance metric. Finally, we classify the appearance features of objects in the current frame into two levels - high and low - based on their respective confidence scores. These features are then matched and updated against stored appearance embeddings from previous frames. Extensive comparative and ablation experiments conducted on the MOT17 dataset demonstrate that the proposed method significantly improves tracking performance in multi-object tracking scenarios. © 2024 IEEE.

关键词： Embeddings

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Combined Classification of Hyperspectral and LiDAR Data based on Dual-Channel Cross-Transformer 5

Combined Classification of Hyperspectral and LiDAR Data base...

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5th International Conference on Video, Signal and Image Processing, VSIP 2023

作者： Zhou, Binbin Wang, Qingyan Zhang, Junping Wang, Yujing School Of: Measurement-Control And Communication Engineering Harbin University Of Science And Technology Harbin150080 China School Of: Electronics And Information Engineering Harbin Institute Of Technology Harbin150001 China

ISBN: (纸本)9798400709272

In the face of complex scenes, single-modal dominant classification tasks encounter limitations in performance due to insufficient information. On the other hand, joint classification of multimodal remote sensing data faces challenges such as data sample differences and lack of correlation in physical features between modalities, which can impact classification performance. To fully integrate the heterogeneous information of multimodal data and improve classification performance, we propose a dual-channel cross-transformer feature fusion extraction network. The framework leverages self-attention mechanisms to aggregate features within each modality, and the feature fusion module based on cross-modal attention fully considers the complementary information between modalities. Classification tasks are performed using the fused spatial-spectral features obtained from the joint representation of modalities. Extensive experiments conducted on the Houston and MUUFL datasets demonstrate the effectiveness of the proposed model compared to existing methods. © 2023 ACM.

关键词： Classification (of information)

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