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Bipolar optical force on a dipolar nanoparticle: Thermally induced switching between optical pulling and optical pushing

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Physical Review B 2023年第13期108卷 134308-134308页

作者： Jiangnan Ma Lv Feng Zijun Sun Xiangsuo Fan Lixin Ge Zhifang Lin Hongxia Zheng Huajin Chen School of Electronic Engineering Guangxi University of Science and Technology Liuzhou Guangxi 545006 China School of Automation Guangxi University of Science and Technology Liuzhou Guangxi 545006 China School of Physics and Electronic Engineering Xinyang Normal University Xinyang 464000 China State Key Laboratory of Surface Physics and Department of Physics Fudan University Shanghai 200433 China Guangxi Key Laboratory of Multidimensional Information Fusion for Intelligent Vehicles Liuzhou Guangxi 545006 China Guangxi Earthmoving Machinery Collaborative Innovation Center Liuzhou Guangxi 545006 China

The ability to readily switch between optical pulling and pushing forces on micro-objects is both important and fascinating for arbitrary optical manipulations. The bipolar optical force (namely, optical pulling versus optical pushing) on an object can be achieved generally by elaborately tailoring illuminating optical fields and/or surrounding media. Here, we propose an approach to achieve the temperature-reconfigured bipolar optical force on a dipolar nanoparticle. The basic idea is demonstrated on a particle immersed in a Bessel beam and made of material exhibiting a temperature-induced reversible transition, such as vanadium dioxide. Numerical results based on the decomposed force expressions indicate that the optical pulling force originates from the recoil force dominated by the coupling of electric and magnetic dipoles simultaneously excited on the particle, while the optical pushing force comes mostly from the interception force, which surpasses the recoil force when the excitation of the magnetic dipole is suppressed. Our dynamical simulations show that the nanoparticle can be transversely trapped stably in the vicinity of maximum light intensity while longitudinally switchable between the pulling against and pushing along light propagation. The bipolar characteristic does not require any change of the manipulating light or ambient material, opening interesting possibilities in flexible optical manipulations.

关键词： Classical optics Light-matter interaction Scattering theory Optical tweezers

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Dynamic Reconfiguration of Distribution Network Based on Temporal Constrained Hierarchical Clustering and Fireworks Algorithm

Dynamic Reconfiguration of Distribution Network Based on Tem...

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2020 IEEE/IAS Industrial and Commercial Power system Asia, I and CPS Asia 2020

作者： Zhang, Yumin Ji, Xingquan Xu, Jiabin Yin, Ziyang Han, Xueshan Zhang, Chao Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao China Dongying Power Supply Company State Grid Dongying China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9781728143033

For the dynamic reconfiguration problem of distribution networks, the handling of switching cost constraint and the division of time period are the two key aspects that affect the performance of the reconfiguration algorithm. In this paper, an improved temporal constrained hierarchical clustering algorithm for dynamic reconfiguration of distribution networks is proposed. Firstly, the improved hierarchical clustering approach considering the temporal constraint is used to divide the operating status of the distribution network into multiple time intervals according to the similarity of loads and the output power of distributed generations (DGs). The dynamic reconfiguration of distribution networks is then transformed into multiple single-stage static reconfiguration problems, and the cluster center is used to approximately represent the load state and DG output state of the period. In order to reduce the number of infeasible solutions and poor solutions, a coding method based on heuristic rules to reduce the solution space of distribution network reconfiguration is proposed. An improved fireworks algorithm based on heuristic rules is proposed to solve the reconfiguration problem. Finally, a modified IEEE-33 test system is used to verify the validity of the proposed method. © 2020 IEEE.

关键词： Clustering algorithms

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Model-Driven Deep Learning for Non-Coherent Massive Machine-Type Communications

arXiv

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arXiv 2023年

作者： Ma, Zhe Wu, Wen Gao, Feifei Shen, Xuemin The Institute for Artificial Intelligence Tsinghua University State Key Lab of Intelligent Technologies and Systems Beijing National Research Center for Information Science and Technology Department of Automation Tsinghua University Beijing100084 China The Frontier Research Center Peng Cheng Laboratory Guangdong Shenzhen518055 China The Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada

In this paper, we investigate the joint device activity and data detection in massive machine-type communications (mMTC) with a one-phase non-coherent scheme, where data bits are embedded in the pilot sequences and the base station simultaneously detects active devices and their embedded data bits without explicit channel estimation. Due to the correlated sparsity pattern introduced by the noncoherent transmission scheme, the traditional approximate message passing (AMP) algorithm cannot achieve satisfactory performance. Therefore, we propose a deep learning (DL) modified AMP network (DL-mAMPnet) that enhances the detection performance by effectively exploiting the pilot activity correlation. The DL-mAMPnet is constructed by unfolding the AMP algorithm into a feedforward neural network, which combines the principled mathematical model of the AMP algorithm with the powerful learning capability, thereby benefiting from the advantages of both techniques. Trainable parameters are introduced in the DL-mAMPnet to approximate the correlated sparsity pattern and the large-scale fading coefficient. Moreover, a refinement module is designed to further advance the performance by utilizing the spatial feature caused by the correlated sparsity pattern. Simulation results demonstrate that the proposed DL-mAMPnet can significantly outperform traditional algorithms in terms of the symbol error rate performance. © 2023, CC BY-NC-SA.

关键词： Message passing

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Bionic Soft Fingers with Hybrid Variable Stiffness Mechanisms for Multimode Grasping

Bionic Soft Fingers with Hybrid Variable Stiffness Mechanism...

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IEEE International Conference on Robotics and automation (ICRA)

作者： Xiangbo Wang Tianran Zhang Hongze Yu Zhenwei Wen Lide Fang Huaping Liu Fuchun Sun Lixue Tang Bin Fang College of Quality and Technical Supervision Hebei University Baoding China School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China School of Mechanical Engineering & Automation Beihang University Beijing China International School Beijing University of Posts and Telecommunications Beijing China Department of Computer Science and Technology Beijing National Research Center for Information Science and Technology Institute for Artificial Intelligence State Key Lab of Intelligent Technology and Systems Tsinghua University Beijing China School of Biomedical Engineering Beijing Key Laboratory of Fundamental Research on Biomechanics in Clinical Application Capital Medical University Beijing China

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

This paper presents a novel Bionic Soft Finger (BSF) that aims to overcome the limitations of conventional rigid manipulators in terms of adaptability and safety, as well as the challenges faced by soft hands regarding carrying capacity and stability. The BSF design uses a hybrid variable stiffness mechanism combining memory alloy actuators with particle jamming to achieve the desired bending angle and actuator stiffness. Our innovative approach utilizes a bionic finger design that incorporates a memory alloy skeleton and a water-cooled recirculation system, leading to a substantial reduction in the time required for each operation. Through the integration of particle jamming, we have enhanced the overall stiffness and performance of the manipulator, enabling load capacities of up to 3N per finger and more than twice the stiffness of a normal condition. Additionally, our design enables multimode grasping and incorporates a liquid metal strain sensor (METT) for real-time monitoring of finger bending angles. Comparative analyses demonstrate that our design exhibits superior stiffness and enables five-mode grasping in comparison to pneumatic actuators. We believe that bionic soft fingers present a promising solution for enhancing adaptability, safety, and performance in human-robot interaction applications.

关键词： Metals Grasping Bending Manipulators Stability analysis Skeleton Real-time systems

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Prediction about residual stress and microhardness of material subjected to multiple overlap laser shock processing using artificial neural network

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Journal of Central South University 2022年第10期29卷 3346-3360页

作者： WU Jia-jun HUANG Zheng QIAO Hong-chao WEI Bo-xin ZHAO Yong-jie LI Jing-feng ZHAO Ji-bin State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang 110169China Institute of Metal Research Chinese Academy of SciencesShenyang 110016China School of Materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China Faculty of Science and Engineering University of HullHull HU67RXUnited Kingdom Department of Chemistry Tsinghua UniversityBeijing 100084China

In this work,the nickel-based powder metallurgy superalloy FGH95 was selected as experimental material,and the experimental parameters in multiple overlap laser shock processing(LSP)treatment were selected based on orthogonal experimental *** experimental data of residual stress and microhardness were measured in the same *** residual stress and microhardness laws were investigated and *** neural network(ANN)with four layers(4-N-(N-1)-2)was applied to predict the residual stress and microhardness of FGH95 subjected to multiple overlap *** experimental data were divided as training-testing sets in *** energy,overlap rate,shocked times and depth were set as inputs,while residual stress and microhardness were set as *** prediction performances with different network configuration of developed ANN models were compared and *** developed ANN model with network configuration of 4-7-6-2 showed the best predict *** predicted values showed a good agreement with the experimental *** addition,the correlation coefficients among all the parameters and the effect of LSP parameters on materials response were *** can be concluded that ANN is a useful method to predict residual stress and microhardness of material subjected to LSP when with limited experimental data.

关键词： laser shock processing residual stress microhardness artificial neural network

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Energy Harvesting by Flexible Piezoelectric Generator for Tag Attached on the Oscillating Fish Tail

SSRN

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SSRN 2022年

作者： Chen, Weixing Hu, Yibo Peng, Yinghan Zhu, Chong Zhang, Weidong Gao, Feng State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China Research Center of Marine Intelligent Equipment and Robot Institute of Marine Equipment Shanghai Jiao Tong University Shanghai China Department of Automation Shanghai Jiao Tong University Shanghai200240 China

Using marine fish-tags to obtain marine environmental information is a significant method for monitoring marine ecology. Nevertheless, the battery capacity of current fish-tags is limited, and most of the fish-tags use invasive implantation methods. In this paper, we propose a principle to harvest energy by flexible piezoelectric generator attached on the oscillating fish tail. The vibration of the caudal fin is utilized to excite the flexible piezoelectric generator to oscillate to produce electrical energy when the fish swims. Based on the principle, a dynamic model of the flexible piezoelectric generator under the excitation of fish-tail swing and an output model of the voltage generated by the flexible piezoelectric generator due to deformation are established. Then, a bionic fish tail is manufactured and the energy harvesting experiments are carried out to verify the accuracy of the models. Finally, an energy harvesting module is designed and a test bed of bionic fish-tail swing energy harvesting is built. The test results show that 6μJ of energy is collected when the tail swings 20 minutes with an amplitude of 3 degrees and a frequency of 1.5Hz. The proposed principle offers a promising non-invasive and longer endurance solution for fish-tags. © 2022, The Authors. All rights reserved.

关键词： Fish

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UniMSF: A Unified Multi-Sensor Fusion Framework for intelligent Transportation system Global Localization

UniMSF: A Unified Multi-Sensor Fusion Framework for Intellig...

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International Conference on intelligent Transportation

作者： Wei Liu Jiaqi Zhu Guirong Zhuo Wufei Fu Zonglin Meng Yishi Lu Min Hua Feng Qiao You Li Yi He Lu Xiong School of Automotive Studies Tongji University Shanghai China Department of Civil and Environmental Engineering University of California Los Angeles Los Angeles CA U.S.A. Shanghai Gongji Technology Co. Ltd Shanghai China Department of Mechanical Engineering University of Birmingham UK Institute for Automotive Engineering (ika) RWTH Aachen University Aachen Germany State Key Laboratory of Surveying Mapping and Remote Sensing Wuhan University Wuhan China Intelligent Transportation System Research Center Wuhan University of Technology Wuhan China

ISBN: (数字)9798331505929

ISBN: (纸本)9798331505936

intelligent transportation systems (ITS) localization is of significant importance as it provides fundamental position and orientation for autonomous operations like intelligent vehicles. Integrating diverse and complementary sensors such as global navigation satellite system (GNSS) and 4D-radar can provide scalable and reliable global localization. Nevertheless, multi-sensor fusion encounters challenges including heterogeneity and time-varying uncertainty in measurements. Consequently, developing a reliable and unified multi-sensor framework remains challenging. In this paper, we introduce UniMSF, a comprehensive multi-sensor fusion localization framework for ITS, utilizing factor graphs. By integrating a multi-sensor fusion front-end, alongside outlier detection&noise model estimation, and a factor graph optimization back-end, this framework accomplishes efficient fusion and ensures accurate localization for ITS. Specifically, in the multi-sensor fusion front-end module, we tackle the measurement heterogeneity among different modality sensors and establish effective measurement models. Reliable outlier detection and data-driven online noise estimation methods ensure that back-end optimization is immune to interference from outlier measurements. In addition, integrating multi-sensor observations via factor graph optimization offers the advantage of “plug and play”. Notably, our framework features high modularity and is seamlessly adapted to various sensor configurations. We demonstrate the effectiveness of the proposed framework through real vehicle tests by tightly integrating GNSS pseudorange and carrier phase information with IMU, and 4D-radar.

关键词： Location awareness Global navigation satellite system intelligent vehicles Noise Estimation Sensor systems Sensors Reliability Optimization intelligent sensors

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Enhancing Power system Stability: A Machine Learning Approach with SVM, Random Forest and Deep Learning Utilizing Wide Area Measurements

Enhancing Power System Stability: A Machine Learning Approac...

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IEEE Student Conference on Electric Machines and systems

作者： Chao Song Mengcan Tan Mingzhao Chu Chihan Zhou Guojie Tian Longfei Mu Shandong Future Intelligent Technology Co. Ltd Shandong Electrical Engineering & Equipment Group Co. Ltd Jinan China Fengtai Supply Company Distribution Operation and Maintenance Center State Grid Beijing Electric Power Company Beijing China Changyi Supply Company Marketing Department State Grid Shandong Electric Power Company Changyi China State Grid Kunming Power Supply Company Kunming China Shandong Tianyu Changtong Energy Group Co. Ltd. Qingdao China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9798350366945

ISBN: (纸本)9798350366952

As the scale and complexity of modern power systems continue to expand, the importance of system stability has become increasingly critical. To ensure the stable operation of the power system, this paper proposes a power system stability analysis and optimal control strategy based on the Wide Area Measurement system (WAMS). Initially, a novel stability evaluation method is established using WAMS data and machine learning techniques, enabling effective handling of complex power system data and providing accurate stability assessments. Following this, an optimal control strategy is designed based on the evaluation method, aimed at real-time adjustments of power resource allocation to enhance system stability and responsiveness. Simulation analyses confirm the effectiveness and reliability of the proposed approach, indicating that the optimized control strategy significantly improves the system's performance under disturbances. This paper presents an innovative method for the stable operation of integrated power systems, contributing to the enhancement of power supply quality within the grid and ensuring the safe and efficient operation of the overall power system.

关键词： Time-frequency analysis system performance Optimal control Power system stability system recovery Stability analysis Real-time systems Wide area measurements Voltage control Thermal stability

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Potential Challenges and Food Security Responses to Climate Change in China and Mongolia in the Post-COP28 Era

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Journal of Resources and Ecology 2025年第1期16卷 22-35页

作者： CHEN Jiannan Faith Ka Shun CHAN WANG Jiayu FENG Meili WANG Zilin Ochir ALTANSUKH SHAO Yating LI Pengfei WANG School of Human Settlements and Civil Engineering Xi’an Eurasia UniversityXi’an 710054China College of Geomatics Xi’an University of Science and TechnologyXi’an 710054China School of Geographical Sciences University of Nottingham Ningbo ChinaNingboZhejiang 315100China Water@Leeds Research Institute and School of Geography University of LeedsLeeds LS29JTUK Research Centre for Intelligent Management&Innovation Development/Research Base for Shenzhen Municipal Policy&Development Southern University of Science and TechnologyShenzhenGuangdong 518000China Key Laboratory of Urban Environment and Health Institute of Urban EnvironmentChinese Academy of SciencesXiamenFujian 361021China Department of Environment and Forest Engineering School of Engineering and Technology and Environmental Engineering LaboratoryNational University of MongoliaUlaanbaatar 14201Mongolia State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China

After the COP28 Conference,many countries are increasingly concerned about their future practices regarding food *** North Asia,the Northeast China is the major food production base for the *** the border,the economy of Mongolia is heavily reliant on agricultural production and animal *** recent years,climatic extremes such as droughts and floods,combined with human-induced overgrazing,have posed alarming threats to food *** review illustrates the challenges and constraints these two countries are facing due to climate changes and summarizes the existing measures and established programs in both ***,we develop the“climate resilient agriculture”(CRA)framework for improving agricultural *** framework emphasizes the importance of international institutions,such as the World Bank,and developed countries to provide more financial and technological support to bolster climate resilience in Northern ***,we conclude by encouraging cross-border co-production and collaborations among governments to implement the CRA framework to tackle future climatic challenges.

关键词： agricultural sensitivity climatic extremes climate resilient agriculture(CRA) food security China and Mongolia

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Distributionally Multi-level Co-optimization Dispatch Considering Primary and Secondary Frequency Regulation

Distributionally Multi-level Co-optimization Dispatch Consid...

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2020 IEEE/IAS Industrial and Commercial Power system Asia, I and CPS Asia 2020

作者： Ji, Xingquan Zhang, Yumin Ye, Pingfeng Han, Xueshan Xu, Bo Yin, Ziyang Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Energy Research Institute Co. Beijing China

ISBN: (纸本)9781728143033

Distributed energy resource (DER) including wind power, solar energy and energy storage system (ESS) are connected to the active distribution network (ADN) in various combination ways, which makes the distribution network have interaction. As a bridge connecting the transmission grid (TG) and micro grid (MG), ADN breaks the traditional operation pattern of TG+ADN+MG. Considering the physical connections and shared information among TG, ADN and MG, this paper proposes a decentralized and parallel analytical target cascading (ATC) algorithm for TG+ADN+MG multi-level co-optimization dispatch considering primary and secondary frequency regulation. To explore the synergistic ability of the TG+ADN+MG coping with uncertainties of DER, i.e., wind power, the primary and secondary frequency regulation of TG are implemented to cope with uncertainties. Furthermore, the distributional uncertainties of wind power and load are well modeled by data driven, which is proposed in our previous work [1]. An improved 6-bus system is used to test the proposed model, the numerical results illustrate the effectiveness and efficiency of the proposed method. © 2020 IEEE.

关键词： Wind power

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