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Dynamic Characteristics of a Deployable Large Support Arm with Uncertain Parameters

Advances in Astronautics Science and technology 2022年第4期5卷 357-362页

作者： Zhang, Shaohui Liu, Fan Sun, Wei Pan, Yaozong Zhao, Yan Luo, Wenbo Beijing Institute of Spacecraft System Engineering Beijing 100094 China State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology Dalian 116023 China

The dynamic characteristics of a large deployable support arm with uncertain parameters are studied. Due to the processing, manufacturing and other reasons, uncertainty is common in the actual structure, especially for the main bearing structure of high-precision imaging, the uncertainty becomes an important influence that cannot be ignored. In this paper, the modified perturbation method is used to study the change in the structural dynamic characteristics when the elastic modulus of the support arm has a small parameter variation, and the Monte Carlo simulation is used to verify the comparison. The natural vibration characteristics of the support arm structure are measured from the perspective of the statistical characteristics of probability. © 2022, Chinese Society of Astronautics.

关键词： Dynamic characteristics Support arm Uncertain parameters

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Multi-Objective Coordination and Stability Control of High Proportion Wind Power system Based on K-Domain Tuning Damping 19th

Multi-Objective Coordination and Stability Control of High P...

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19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Zhang, Qingtao Gao, Diju Zhang, Dan Cai, Haiqing Gu, Haohan Chen, Wei Wu, Wencong Chen, Zhihao Institute of Logistics Engineering Shanghai Maritime University Shanghai China Institute of Logistic Science and Engineering Shanghai Maritime University Shanghai China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9789819608966

With the further development of "double high" characteristics of power system, the traditional stability problem dominated by synchronous generator has gradually evolved into a new stability problem dominated by power electronic equipment control. In addition, different types of failure problems can occur in wind power systems. In order to achieve multi-objective coordinated and stable operation of high proportion wind power system, a damping control method with parameters tuning is proposed, which includes the design of filtering link and proportional amplification link. Among them, the key parameters of the proportional link are adjusted. Finally, the feasibility of the proposed control method is verified by simulation tests. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Electric power system stability

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Spatial Correspondence between Graph Neural Network-Segmented Images

arXiv

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arXiv 2023年

作者： Li, Qian Fu, Yunguan Yang, Qianye Du, Zhijiang Yu, Hongjian Hu, Yipeng Department of Medical Physics and Biomedical Engineering University College London London United Kingdom State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

Graph neural networks (GNNs) have been proposed for medical image segmentation, by predicting anatomical structures represented by graphs of vertices and edges. One such type of graph is predefined with fixed size and connectivity to represent a reference of anatomical regions of interest, thus known as templates. This work explores the potentials in these GNNs with common topology for establishing spatial correspondence, implicitly maintained during segmenting two or more images. With an example application of registering local vertebral sub-regions found in CT images, our experimental results showed that the GNN-based segmentation is capable of accurate and reliable localization of the same interventionally interesting structures between images, not limited to the segmentation classes. The reported average target registration errors of 2.2±1.3 mm and 2.7±1.4 mm, for aligning holdout test images with a reference and for aligning two test images, respectively, were by a considerable margin lower than those from the tested non-learning and learning-based registration algorithms. Further ablation studies assess the contributions towards the registration performance, from individual components in the originally segmentation-purposed network and its training algorithm. The results highlight that the proposed segmentation-in-lieu-of-registration approach shares methodological similarities with existing registration methods, such as the use of displacement smoothness constraint and point distance minimization albeit on non-grid graphs, which interestingly yielded benefits for both segmentation and registration. We, therefore, conclude that the template-based GNN segmentation can effectively establish spatial correspondence in our application, without any other dedicated registration algorithms. © 2023, CC BY.

关键词： Computerized tomography

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A hardware acceleration Framework of Reconfigurable Edge Modules for Convolutional Neural Networks

A hardware acceleration Framework of Reconfigurable Edge Mod...

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Annual Conference of Industrial Electronics Society

作者： Yiming Qiao Zidi Jia Shixiang Li Lei Ren Beihang University Beijing China Zhongguancun Laboratory State Key Laboratory of Intelligent Manufacturing System Technology Beihang University Beijing China

ISBN: (数字)9781665464543

ISBN: (纸本)9781665464550

Edge computing exploits node devices situated in close proximity to terminals to deliver distributed computing services directly to users, with FPGAs serving as the predominant platform. With the amplification in volume and intricacy of deep learning models, effectively deploying these models on FPGA devices introduces substantial challenges. To counter this predicament, this paper introduces an FPGA-based hardware acceleration framework for reconfigurable edge devices tailored for Convolutional Neural Networks (CNNs). Initially, a method for dynamically quantizing network models is devised to markedly curtail model memory consumption. Subsequently, a meticulously engineered hardware acceleration unit is formulated to attain augmented computing parallelism via meticulous temporal redesign. Finally, model deployment on FPGA devices for inference verification is showcased utilizing fully connected and convolutional neural networks as exemplars. On the MNIST dataset, the FPGA inference unit attains remarkable accuracy and computational efficiency in comparison to CPUs and GPUs

关键词： Industrial electronics Solid modeling Computational modeling Memory management Parallel processing Convolutional neural networks Distributed computing Field programmable gate arrays Hardware acceleration Edge computing

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The potential influence study of a nonlinear layer on a vibroacoustic coupling system

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Acta Mechanica Sinica 2025年第2期42卷 1-13页

作者： Zhao, Yuhao Chen, Yilin Guo, Rongshen Key Laboratory of Advanced Manufacturing Technology Ministry of Education Guizhou University Guiyang China College of Power and Energy Engineering Harbin Engineering University Harbin China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China

Vibroacoustic coupling systems widely exist in various engineering fields, and controlling their vibration and noise is essential. Unfortunately, the existing literature lacks research on the vibroacoustic coupling system composed of multi-plates and a cavity with nonlinear factors, limiting the application of nonlinear factors in controlling the vibration and noise of the vibroacoustic coupling system. This work aims to explore the effect of the nonlinear layer on the behavior of a vibroacoustic coupling system, where the behavior of the vibroacoustic coupling system motivated by the nonlinear layer and the vibroacoustic behavior under constant frequencies caused by the nonlinear layer is systematically studied. It can be found that the behavior of the vibroacoustic coupling system with a nonlinear layer can be correctly predicted by using the Lagrange method. The nonlinear layer establishes a new vibration-converting pathway of the vibroacoustic coupling system. A reasonable nonlinear layer is suitable for controlling the vibration of plate 2 and the sound pressure of the cavity. In a reasonable variation range, adjusting key parameters of the nonlinear layer is a feasible way to artificially control the unconventional responses under constant frequencies of the vibroacoustic coupling system. Overall, the introduction of the nonlinear layer provides a possible approach to control the vibroacoustic coupling system’s behavior, providing a new perspective to utilize the nonlinear layer in controlling the vibroacoustic coupling system.

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Research on SAR Micro Motion Jamming Discrimination Method

Research on SAR Micro Motion Jamming Discrimination Method

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2021 International Conference on Signal Processing and Communication technology, SPCT 2021

作者： Zhao, Peijie Dai, Dahai Wu, Hao Pang, Bo State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Hunan Changsha410073 China

ISBN: (数字)9781510653344

ISBN: (纸本)9781510653337

Synthetic Aperture Radar (SAR) is faced with complex electromagnetic environment in practical application, so it needs certain anti jamming ability. The SAR micro motion jamming can form false target string in the azimuth direction of SAR image, which makes it difficult to interpret SAR image. Therefore, based on the analysis of the principle of micro motion jamming, this paper proposes a SAR micro motion jamming discrimination method based on dual channel cancellation, and theoretically analyzes the feasibility of the algorithm. Finally, the effectiveness of the algorithm is verified by simulation. © 2022 SPIE.

关键词： Synthetic aperture radar

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Intelligent lesion blood–brain barrier targeting nano-missiles for Alzheimer's disease treatment by anti-neuroinflammation and neuroprotection

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Acta Pharmaceutica Sinica B 2022年第4期12卷 1987-1999页

作者： Xueqin He Xiaorong Wang Lianyi Yang Zhihang Yang Wenqi Yu Yazhen Wang Rui Liu Meiwan Chen Huile Gao Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial TechnologyWest China School of PharmacySichuan UniversityChengdu 610041China State Key Laboratory of Quality Research in Chinese Medicine Institute of Chinese Medical SciencesUniversity of MacaoMacao 999078China

The treatment of Alzheimer's disease(AD)is one of the most difficult challenges in neurodegenerative diseases due to the insufficient blood‒brain barrier(BBB)permeability and unsatisfactory intra-brain distribution of ***,we established an ibuprofen and FK506 encapsulated drug co-delivery system(Ibu&FK@RNPs),which can target the receptor of advanced glycation endproducts(RAGE)and response to the high level of reactive oxygen species(ROS)in *** is highly and specifically expressed on the lesion neurovascular unit of AD,this property helps to improve targeting specificity of the system and reduce unselective distribution in normal ***,these two drugs can be specifically released in astrocytes of AD lesion in response to high levels of *** a result,the cognition of AD mice was significantly improved and the quantity of Aβplaques was *** was also alleviated with structural regeneration and functional recovery of ***,the neuroinflammation dominated by NF-κB pathway was significantly inhibited with decreased NF-κB and IL-1βin the ***,Ibu&FK@RNPs can efficiently and successively target diseased BBB and astrocytes in AD *** it significantly enhances intracephalic accumulation of drugs and efficiently treats AD by anti-neuroinflammation and neuroprotection.

关键词： Receptor for advanced glycation end products ROS-responsive Blood‒brain barrier transcytosis Alzheimer’s disease Drug combination Anti-neuroinflammation Neuroprotection Nano drug delivery system

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Least Squares Support Vector Machine Kalman Filter for Physiological Tremor Suppression in Minimally Invasive Surgical Robot

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Journal of Harbin Institute of technology(New Series) 2020年第5期27卷 22-28页

作者： Jiandong Dai Zhijiang Du Zhiyuan Yan Yunlei Liang State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China

This paper studies the physiological tremor filtering in minimally invasive surgical *** surgeon􀆳s physiological tremor of the hand can cause the vibration of the tip of the surgical instrument,which may reduce operative accuracy and limit the application of surgical *** at the vibration caused by physiological tremor of hand,we propose a Least Squares Support Vector Machine Kalman Filter(LSSVMKF),which can filter the tremor by estimating and modeling the tremor signal by Kalman filter and then superimposing it reversely in the control *** estimating and modeling the tremor signal,the filter uses the Least Squares Support Vector Machine(LS⁃SVM)to build the regression model of the constant parameters(Process Noise Covariance and Measurement Noise Covariance)of the traditional Kalman filter,which can dynamically adjust these parameters during the operation and improve the accuracy of Kalman *** simulation results show that the LSSVMKF can effectively filter out the tremor signal,thereby improving the accuracy of surgery.

关键词： physiological tremor suppression minimally invasive surgical robot Kalman filter support vector machine

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DTAME: A Interpretable and Efficient Approach for ABAC Policy Mining and Evaluation Using Decision Trees

DTAME: A Interpretable and Efficient Approach for ABAC Polic...

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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Zejun Lan Jianfeng Guan Xianming Gao Tao Feng Kexian Liu Jianbang Chen State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China National Key Laboratory of Science and Technology on Information System Security Institute of System Engineering PLA Academy of Military Science Beijing China

ISBN: (数字)9798331506209

ISBN: (纸本)9798331506216

Attribute-Based Access Control (ABAC) has been chosen to replace the traditional access control model due to its dynamics, flexibility and scalability recently. However, during the migration and deployment process of ABAC policies, the key issue is how to mine accurate access control policies and quickly evaluate the policies when an access request arrives. Previous approaches typically addressed these two aspects separately, and the emergence of integrated solutions has provided new insights for addressing this issue. However, despite the high accuracy of the integrated solution in policy evaluation, it still falls short in terms of interpretability and performance. Therefore, this paper proposes a decision tree based ABAC policy mining and policy evaluation (DTAME) scheme, which employs different policy mining and evaluation algorithms based on various datasets. For access control lists, we utilize decision tree algorithms to mine ABAC policies and conduct policy evaluations based on policy trees. For access control logs, we adopt a decision tree to achieve performance approximating that of XGBoost. Experimental results show that the scheme offers superior interpretability and policy evaluation performance at the expense of a certain degree of accuracy.

关键词： Access control Computer science Privacy Accuracy Scalability Process control Approximation algorithms Maintenance Decision trees Standards

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Research on Active Support Control Strategy and its Performance of Renewable Energy Power Station with Multiple Energy Sources 7

Research on Active Support Control Strategy and its Performa...

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7th IEEE Conference on Energy Internet and Energy system Integration, EI2 2023

作者： Zeng, Guanming Tu, Liang Zhu, Yihua Hu, Yun Luo, Chao Li, Shengnan State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&d Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control For New Energy Power System Csg Key Laboratory For Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Csg Key Laboratory For Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&d Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control For New Energy Power System Guangzhou China Yunnan Power Grid Co. Ltd. Electric Power Research Institute Yunnan Kunming China

ISBN: (纸本)9798350345094

The increasing integration of renewable energy reduces the inertia and frequency support capacity of the power system. The issue of frequency stability has become one of the core issues in the security and stability of power system and the efficient consumption of renewable energy nowadays. To improve the performance of renewable energy power station (REPS), based on the analysis of typical active support control logic and relative performance requirements of REPS with single energy source (SES), an active support control strategy and coordinated control logic of active power of REPS with multiple energy sources (MES) are proposed in this paper. The performance of proposed strategy is theoretically analyzed from the aspect of dominant energy source and the effect of the capacity of energy storage. The effectiveness of the proposed strategy and the accuracy of the theoretical analysis of performance are verified by realtime simulation. © 2023 IEEE.

关键词： Renewable energy

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