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

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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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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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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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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Information Extraction of Air-Traffic Control Instructions via Pre-trained Models 1

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3rd International Conference on Artificial Intelligence, 2022

作者： Wang, Xuan Ding, Hui Xu, Qiucheng Liu, Zeyuan State Key Laboratory of Air Traffic Management System and Technology The 28th Research Institute of China Electronics Technology Group Corporation Nanjing210007 China

ISBN: (数字)9789811694233

ISBN: (纸本)9789811694226

The air traffic controllers always use air-traffic control instructions (ATC instructions) to command aircrafts. The ATC instruction consists of some situation mentions such as flight number, status, and target location etc. The deep-learning based approach can extract such information for situation awareness. In practice, it is difficult to prepare huge amount of labelled ATC instructions for training the deep-learning model due to expensive costs of handcraft annotations. The large scale pre-trained model (PTMs) can solve this problem by "pre-training" and "fine-tuning". This paper proposes: 1) pre-trained models to extract information from few scale ATC instructions;2) the probing task to find which layer of model achieves the best performance of information extraction task. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Air traffic control

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Femtosecond Laser Triggered Breakdown Discharge Patterns in Long Air Gap 17

Femtosecond Laser Triggered Breakdown Discharge Patterns in ...

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17th International Symposium on Lightning Protection, SIPDA 2023

作者： Pei, Zhehao Chen, Weijiang Huang, Shengxin Zhang, Qiaogen Li, Dianhang Du, Bin Xi' an Jiaotong University State Key Laboratory of Electrical Insulation and Power Equipment Xi'an China State Grid Corporation of China Beijing China Hefei University of Technology School of Electrical Engineering and Automation Hefei China North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing China

ISBN: (纸本)9798350357790

Lightning control has long been a dream for scientists. Femtosecond laser-triggered discharge in long air gap is the main research measure for providing perspectives on fundamental lightning understanding and technical routes. A record of laser-triggered negative discharge images in a long air gap on full track is presented in this letter in the study of laser-triggered discharges in a 2 m rod-rod gap under negative switching impulse. Laser-triggered breakdown in a long air gap was shown to have two patterns distinguished from the elongation length of a guided negative leader. For the pattern based on leader reillumination, plasma lifetime was shown to be more than tens of microseconds in guiding a negative leader after a dark period. The laser filament fixed the position of discharge initiation, determined leader propagation direction, and increased breakdown probability. This pattern can provide downward-leader prediction for an expected space position for more than tens of microseconds, which creates more advantages in triggering lightning strokes. © 2023 IEEE.

关键词： Femtosecond lasers

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Lithospheric structure and geodynamics of oceanic transform fault

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Science China Earth Sciences 2025年

作者： Fan ZHANG Jian LIN Sanzhong LI Yanhui SUO Pengcheng ZHOU Yiming LUO Caicai ZHA Xubo ZHANG State Key Laboratory of Tropical Oceanography South China Sea Institute of Oceanology Chinese Academy of Sciences Key Laboratory of Ocean and Marginal Sea Geology South China Sea Institute of Oceanology Chinese Academy of Sciences Department of Ocean Science and Engineering Southern University of Science and Technology Advanced Institute for Ocean Research Southern University of Science and Technology Frontiers Science Center for Deep Ocean Multispheres and Earth System Key Lab of Submarine Geosciences and Prospecting TechniquesMOE and College of Marine Geosciences Ocean University of China Laboratory for Marine Mineral Resources Laoshan Laboratory

The oceanic transform fault (OTF) is one of the three types of plate boundaries. It provides an important channel for the exchange of material and energy within the Earth’s interior, which is significant for understanding global plate tectonics. In recent years, substantial progress has been made in the study of OTFs, including their morphology, crustal accretion mode, stress and strain state, brittle-ductile deformation structures, and segmentation and symmetry of seismicity. The combined effects of magmatism and tectonism shape the morphology and structure of OTF:the spreading rate and the age offsets reflect the thermal structure of the OTF, and thus affect the intensity of magmatism; meanwhile, the stress within the lithosphere and plate motion control the tectonic features and formation of faults. Three-dimensional dynamic models have demonstrated that increased magmatism at mid-ocean ridges destabilizes the fault, thereby facilitating the dynamic evolution of the OTF. Moreover, the maximum depth of earthquakes on OTF is controlled by the thermal structure of the lithosphere, which is crucial for characterizing the frictional properties of faults and understanding their seismic behaviors. Based on recent comprehensive research findings, this paper reviews the tectonic features, three-dimensional morphological structure, and lithospheric thermal structure of OTF, and discusses important scientific issues, including the magmatic-tectonic co-evolution and geodynamic mechanisms of OTF. Future research will combine high-resolution observations and theoretical simulations to further elucidate the processes and mechanisms of OTF, providing important advances to global plate tectonic theory.

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Visual-LiDAR Fusion Relocation for SLAM systems

Visual-LiDAR Fusion Relocation for SLAM Systems

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2023 International Conference on Frontiers of robotics and Software Engineering, FRSE 2023

作者： Liu, Zexi Liu, Yanqing Wang, Xin Zhu, Dongchen Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Bionic Vision System Laboratory State Key Laboratory of Transducer Technology Shanghai200050 China University of Chinese Academy of Sciences Beijing100049 China Wuxi Institute of Inspection Testing and Certification Wuxi214000 China

ISBN: (纸本)9798350301113

Relocation is a fundamental part of the mobile robot positioning system, and the robot can obtain the initial position through relocation. However, commonly used visual relocation schemes are susceptible to lighting, weather, and seasonal changes. Therefore, this paper proposes a relocation method for vision and LiDAR sensor fusion. By making full use of different sensors, this method can also achieve good relocation performance in scenarios where the individual sensor is degraded. Our algorithm consists of three parts, namely visual relocation, LiDAR relocation and point cloud registration verification. The Bag-of-Words method is used for visual relocation, the Scan Context method is used for LiDAR relocation, and the ICP or NDT method is used for point cloud registration verification. It is worth noting that each part of our algorithm is an independent module, so it can be easily replaced by other methods, which greatly improves the flexibility of the algorithm. We tested our algorithm on KITTI, M2DGR, and NCLT datasets, and the experimental results show that visual-LiDAR fusion relocation has greatly improved performance compared to visual relocation. When environmental factors such as light, weather, and seasons change, visual-LiDAR fusion relocation can still operate robustly, which is the key to long-term robot positioning. © 2023 IEEE.

关键词： Optical radar

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