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arXiv 2021年

作者： Wang, Shuai Zhong, Jing Liu, Wenzhong School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Belt and Road Joint Laboratory on Measurement and Control Technology Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Ministry of Education Wuhan430074 China School of Instrumentation and Optoelectronic Engineering Beihang University Beijing100191 China

Magnetic nanoparticles (MNPs) have excellent magnetic-temperature characteristic. However, current temperature measurement based on MNPs is interfered by concentration. Utilizing the electron spin resonance (ESR), we propose a highly sensitive temperature measurement method without concentration coupling. The anisotropic field is affected by temperature, thus affecting the g-value. The influence of the MNP concentration, size, and the data analysis method on temperature estimation are studied. The optimal temperature sensitivity is achieved with 15-nm MNPs while Gaussian smoothing method allows an optimal accuracy at Fe concentration of 5 mg/ml with a standard deviation of 0.07 K. Copyright © 2021, The Authors. All rights reserved.

关键词： Magnetic moments

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Synergistic wedge effect for low-temperature doping in dual-phase dielectric ceramics

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Journal of Materials Science & technology 2025年

作者： Yanzhao Zhang GuoXiang Zhou Yuhang Zhang Ning Xie Lanlan Yang Kunpeng Lin Zhe Zhao Meiling Yang Huatay Lin Zhihua Yang Dechang Jia Yu Zhou Institute for Advanced Ceramics School of Materials Science and Engineering Harbin Institute of Technology Harbin 150001 China Chongqing Research Institute Harbin Institute of Technology Chongqing 401135 China Shandong Provincial Key Laboratory of Preparation and Measurement of Building Materials University of Jinan Jinan 250000 China School of Microelectronics and Communication Engineering Chongqing University Chongqing 400044 China School of Electromechanical Engineering Guangdong University of Technology Guangzhou 510006 China School of Materials Science and Engineering Harbin Institute of Technology (Shenzhen) Shenzhen 518055 China

Selective ion doping is a promising method to enhance the overall performance of perovskite dielectric ceramics. However, the confrontations among the dielectric constant ( ε r ), near-zero temperature coefficient of resonant frequency (TCF), and quality factor ( Q × f ) remain key challenges in high-performance dielectric ceramics. To leverage the trade-off conflicts, using dual-phase perovskite-based dielectric ceramic composites could be a potentially ideal solution. Unfortunately, the selected ions are hard to be doped into the perovskite phase due to the sintering temperature disparity of the two phases, thereby significantly impacting the modification effect. In this study, a “wedge” strategy was employed in a MgTiO 3 -CaTiO 3 dual-phase dielectric ceramic composite by using Ce as an auxiliary dopant to realize the main Hf doping in the CaTiO 3 phase due to the lattice distortion. This strategy also harmonizes the confrontation of the sintering temperature disparity between the two components of CaTiO 3 and MgTiO 3 . The Hf 4+ doping level of as high as 40 mol.% with a reduced sintering temperature of over 200 °C was successfully achieved by using this “wedge” strategy. Most importantly, the trade-off conflicts among the ε r , near-zero TCF, and Q × f have been considerably reduced and harmonized due to the successful introduction of a high dosage of Hf dopant in the CaTiO 3 phase without sacrificing the intact structure of MgTiO 3 . This strategy not only sheds light on manufacturing high-performance dual-phase dielectric ceramics with trade-off conflicts of properties but also provides an innovative pathway to address the challenge of mismatch of sintering temperature for selective ion doping in multiple-phase ceramic composites.

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Design of a Fast Response Coriolis Flowmeter Converter Based on Zynq

Design of a Fast Response Coriolis Flowmeter Converter Based...

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第三十九届中国控制会议

作者： Lijun Sun Chunhui Li Chunli Ma School of Electrical and Information Engineering Tianjin University Walsn Measurement and Control Technology (Hebei) Co.Ltd

Coriolis flowmeters are designed based on the Coriolis force principle. It has high accuracy in mass flow measurement and provides additional multi-parameter measurements such as density, temperature, and volume flow. It is widely used in industrial flow measurement. Under the condition that the flowrate of single-phase flow is stable, the control and real-time tracking of most Coriolis flowmeters can meet the measurement requirements and obtain accurate real-time flow measurement results. However, when the flow conditions change rapidly, the converter system is often unable to track the flow changes in real time, and the measurement results may lag behind or even be erroneous. In this paper, a new prototype based on Zynq for the Coriolis flowmeter converter is developed in order to solve the problem of lagging behind in the measurement results. The fast sampling rate and more computational power from Zynq can realize the real-time measurement for rapidly changing flow. An experimental study using the prototype system was carried out under water flow conditions. Preliminary results showed that the repeatability under various test conditions down to one-second batch runs is within 0.1%. This verifies that the prototype system can measure rapidly changing flows.

关键词： Coriolis flowmeter Converter Zynq Digital drive system Quadrature Demodulation

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Parallel Planning:A New Motion Planning Framework for Autonomous Driving

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IEEE/CAA Journal of Automatica Sinica 2019年第1期6卷 236-246页

作者： Long Chen Xuemin Hu Wei Tian Hong Wang Dongpu Cao Fei-Yue Wang IEEE School of Data and Computer Science Sun Yat-sen University the School of Computer Science and Information Engineering Hubei University Institute of Measurement and Control Systems Karlsruhe Institute of Technology Department of Mechanical and Mechatronics Engineering University of Waterloo the State Key Laboratory of Management and Control for Complex Systems.Institute of Automation Chinese Academy of Sciences the Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology

Motion planning is one of the most significant technologies for autonomous driving. To make motion planning models able to learn from the environment and to deal with emergency situations, a new motion planning framework called as"parallel planning" is proposed in this paper. In order to generate sufficient and various training samples, artificial traffic scenes are firstly constructed based on the knowledge from the reality.A deep planning model which combines a convolutional neural network(CNN) with the Long Short-Term Memory module(LSTM) is developed to make planning decisions in an end-toend mode. This model can learn from both real and artificial traffic scenes and imitate the driving style of human ***, a parallel deep reinforcement learning approach is also presented to improve the robustness of planning model and reduce the error rate. To handle emergency situations, a hybrid generative model including a variational auto-encoder(VAE) and a generative adversarial network(GAN) is utilized to learn from virtual emergencies generated in artificial traffic scenes. While an autonomous vehicle is moving, the hybrid generative model generates multiple video clips in parallel, which correspond to different potential emergency scenarios. Simultaneously, the deep planning model makes planning decisions for both virtual and current real scenes. The final planning decision is determined by analysis of real observations. Leveraging the parallel planning approach, the planner is able to make rational decisions without heavy calculation burden when an emergency occurs.

关键词： Autonomous driving artificial traffic scene deep learning emergencies motion planning parallel planning

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Optimizing Wireless Sensor Networks Based on Collaborative Beamforming

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Procedia Computer Science 2020年 174卷 561-571页

作者： Lei Shi Zhehao Li Xu Ding Juan Xu Zengwei Lv School of Computer Science and Information Engineering HeFei University of Technology Hefei 230009 China Engineering Research Center of Safety Critical Industrial Measurement and Control Technology Ministry of Education Hefei 230009 China

With the expansion of the scale of the Internet of Things, the transmission distance and speed of wireless networks need to be improved. Due to the limitation of power and energy of sensor nodes, data transmission is basically carried out by multi-hop relay. Collaborative beamforming is a technology that uses multiple sensor nodes to form a virtual antenna array to transmit high-gain and directional beams, which greatly enhances the transmission range. Compared with the muilt-hop network, collaborative beamforming can reduce the numbers of hop or even transmit data to the target node at one time, thus reducing the time required for routing and forwarding. This means that collaborative beamforming can transmit data more quickly and improve data throughput. In this paper, a brief introduction of cooperative beamforming is given. Then we propose an algorithm based on Collaborative beamforming. Simulation results show that the Collaborative beamforming wireless sensor networks can achieve better throughput compared with multi-hop networks.

关键词： Collaborative Beamforming Wireless Sensor Network Throughput Set Cover

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TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum

arXiv

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arXiv 2022年

作者： Wang, Jinhuan Chen, Pengtao Xu, Xinyao Wu, Jiajing Shen, Meng Xuan, Qi Yang, Xiaoniu Institute of Cyberspace Security College of Information Engineering Zhejiang University of Technology Hangzhou310023 China School of Computer Science and Engineering Sun Yat-sen University Guangzhou510006 China School of Cyberspace Science and Technology Beijing Institute of Technology Beijing100081 China Shenzhen518066 China PCL Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen518000 China Utron Technology Company Ltd. Hangzhou310056 China Institute of Cyberspace Security Zhejiang University of Technology Hangzhou310023 China Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China

Due to the decentralized and public nature of the Blockchain ecosystem, the malicious activities on the Ethereum platform impose immeasurable losses for the users. Existing phishing scam detection methods mostly rely only on the analysis of original transaction networks, which is difficult to dig deeply into the transaction patterns hidden in the network structure of transaction interaction. In this paper, we propose a Transaction SubGraph Network (TSGN) based phishing accounts identification framework for Ethereum. We first extract transaction subgraphs for target accounts and then expand these subgraphs into corresponding TSGNs based on the different mapping mechanisms. In order to make our model incorporate more important information about real transactions, we encode the transaction attributes into the modeling process of TSGNs, yielding two variants of TSGN, i.e., Directed-TSGN and Temporal-TSGN, which can be applied to the different attributed networks. Especially, by introducing TSGN into multi-edge transaction networks, the Multiple-TSGN model proposed is able to preserve the temporal transaction flow information and capture the significant topological pattern of phishing scams, while reducing the time complexity of modeling large-scale networks. Extensive experimental results show that TSGN models can provide more potential information to improve the performance of phishing detection by incorporating graph representation learning. Copyright © 2022, The Authors. All rights reserved.

关键词： Topology

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Two-step Phase Synchronization Algorithm for Distributed Collaborative Beamforming

Two-step Phase Synchronization Algorithm for Distributed Col...

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IEEE International Conference on Signal and Image Processing (ICSIP)

作者： Jianwen Xu Yi Yang Yang Yang Ling Zhang Jian Wang Jie Zhuang School of Information and Communication Engineering University of Electronic Science and Technology of China (UESTC) Chengdu China State Grid Xin Jiang Company Limited Electric Power Research Institute Precision Measurement Radar System Technology Key Laboratory of Sichuan Province Chengdu China

ISBN: (纸本)9781665446006

Beamforming technology is mainly applied to increase the energy utilization efficiency in wireless communication, and to enlarge signal transmission range via multiantenna technology. The beamforming technology presented in this paper is distributed collaborative beamforming (DCBF) technology, which is a branch of cooperative communication. In this paper, we propose a phase synchronization algorithm to achieve DCBF in a distributed array. The proposed algorithm consists of two steps. First, in order to improve the convergent speed of the phase alignment, we traverse all N possible initial phases of each node to determine a local optimum iteration point. Then we perform two-bit feedback iteration to ensure that the normalized received signal strength (NRSS) reaches the threshold of cooperative beamforming. Numerical results demonstrate that proposed algorithm offers better phase synchronization performance compared with the classical one-bit feedback method and two-bit feedback method.

关键词： Phased arrays Monte Carlo methods Array signal processing Perturbation methods Image processing Cooperative communication Conferences

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Tire Defect Detection Based on Faster R-CNN

Tire Defect Detection Based on Faster R-CNN

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1st International Conference on Robotics and Rehabilitation Intelligence, ICRRI 2020

作者： Wu, Zeju Jiao, Cuijuan Sun, Jianyuan Chen, Liang The School of Information and Control Engineering Qingdao University of Technology Qingdao266525 China National Centre for Computer Animation Faculty of Media and Communication Bournemouth University BournemouthBH12 5BB United Kingdom

ISBN: (纸本)9789813349315

The tire defect detection method can help the rehabilitation robot to achieve autonomous positioning function and improve the accuracy of the robot system behavior. Defects such as foreign matter sidewall, foreign matter tread, and sidewall bubbles will appear in the process of tire production, which will directly or indirectly affect the service life of the tire. Therefore, a novel and efficient tire defect detection method was proposed based on Faster R-CNN. At preprocessing stage, the Laplace operator and the homomorphic filter were used to sharpen and enhance the data set, the gray values of the image target and the background were significantly different, which improved the detection accuracy. Moreover, data expansion was used to increase the number of images and improve the robustness of the algorithm. To promote the accuracy of the position detection and identification, the proposed method combined the convolution features of the third layer and the convolution features of the fifth layer in the ZF network (a kind of convolution neural network). Then, the improved ZF network was used to extract deep characteristics as inputs for Faster R-CNN. From the experiment, the proposed faster R-CNN defect detection method can accurately classify and locate the tire X-ray image defects, and the average test recognition rate is up to 95.4%. Moreover, if there are additional types of defects that need to be detected, then a new detection model can be obtained by fine-tuning the network. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Tires

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Tailoring the Anomalous Hall Effect in Van Der Waals Ferromagnet Fe3gete2

SSRN

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SSRN 2024年

作者： Wu, Kaile Wang, Qin Wang, Junshan Jiang, Jiaolin Zhao, Tian Zhao, Dong Han, Dan Quan, Zhiyong Ma, Zongmin Wang, Haomin Sang, Shengbo Ge, Yang Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception College of Electronic Information and Optical Engineering Taiyuan University of Technology Taiyuan030024 China Key Lab of Advanced Transducers and Intelligent Control System The Ministry of Education Taiyuan University of Technology Taiyuan030024 China College of Materials Science and Engineering Taiyuan University of Technology Taiyuan030024 China Key Laboratory of Magnetic Molecules and Magnetic Information Materials of Ministry of Education School of Chemistry and Materials Science Shanxi Normal University Taiyuan030031 China State Key Laboratory of Dynamic Measurement Technology North University of China Shanxi Taiyuan030051 China School of Semiconductor and Physics North University of China Shanxi Taiyuan030051 China State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai200050 China Shanxi Research Institute of 6D Artificial Intelligence Biomedical Science Taiyuan030024 China

Two-dimensional van der Waals magnetic materials have shown fascinating natural ferromagnetic properties at the atomic level, which has great potential in fields of low power spintronics, quantum computing and optical communication. Herein, the ferromagnetism and magnetic anisotropy of bulk Fe3GeTe2 (FGT) were investigated, and the testing results indicate a pronounced vertical magnetic anisotropy below the Curie temperature (Tc=165 K) of FGT. In addition, the anomalous Hall effect of FGT nanoflakes was studied at various temperatures and thicknesses by standard Hall bar device in detail. The results show the anomalous Hall resistance (0.764 Ω at 20 K decreased to 0.332 Ω at 140 K) and the obvious rectangular magnetic hysteresis rings below Tc (165 K). Furthermore, we calculated the carrier concentration (2.5×1022 cm-3 at 20K) and mobility (13.3 cm2/(v·s) at 20K) under large magnetic field (-6 T~6 T). Particularly, we demonstrated that the strong tailoring ability of the anomalous Hall effect for FGT-based magnetoelectric transport devices comes form the regulation of magnetic moment by sample thickness and magnetic field angle. The above experimental results verify that FGT is expected to be a prime candidate material for ultrathin 2D spintronic devices to the next generation. © 2024, The Authors. All rights reserved.

关键词： Germanium alloys

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control design under attacks of multi-agent switched systems via arbitrary switching

Control design under attacks of multi-agent switched systems...

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Chinese Automation Congress (CAC)

作者： Zhanjie Li Yajing Ma Institute of Advanced Technology for Carbon Neutrality Nanjing University of Posts and Telecommunications Nanjing China Provincial Engineering Research Center for New Energy Vehicle Intelligent Control and Simulation Test Technology Sichuan Xihua University Chengdu China School of Internet of Things Jiangsu Key Laboratory of Broadband Wireless Communication and Internet of Things Nanjing University of Posts and Telecommunications Nanjing China

In this paper, the consensus control against attacks for a type of nonlinear multi-agent switched systems under arbitrary switching is studied. The attacks corrupt the information data, which cannot be used for the feedback design. Meanwhile, the switching logic is not allowed to be designed. To tackle the complicated effects, some intermediate variables and adaptive laws are introduced to compensate the uncertainties. By constructing a common Lyapunov function, an adaptive protocol is proposed such that the outputs of the agents achieve consensus against attacks under arbitrary switching.

关键词： Switched systems Uncertainty Automation Adaptive systems control design Switches Consensus control

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