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TechRxiv 2023年

作者： Yang, Songnan Zhang, Xiaohui Liu, Ding Bai, Wenqi Liu, Fan The School of Automation and Information Engineering Xi’an University of Technology Shaanxi 710048 China The Institute of Advanced Navigation and Electromagnetics Xi’an University of Technology Shaanxi 710048 China The State Key Laboratory of Eco-Hydraulics in the Northwest Arid Region of China Xi’an University of Technology Shaanxi 710048 China The Shaanxi Key Laboratory of Complex System Control with the Intelligent Information Processing Xi’an University of Technology Shaanxi 710048 China

Numerous studies have demonstrated that numerous animal species are capable of goal-directed navigation using environmental information for dead reckoning. The stable magnetic field of the earth provides important information for the migration of animals over long distances. Inspired by the goal-directed navigation of animals, a novel Geomagnetic Navigation with Temporal Attention-based Data-Driven Dead Reckoning (Attention-DR) method for Autonomous Underwater Vehicles (AUV) is presented in this article, which only utilizes the inclination angle (I) and the declination angle (D) of the Geomagnetic Field (GF) for underwater navigation without any prior knowledge of the geographical location or geographic map. This article proposes a Temporal Attention-based Long Short-Term Memory (TA-LSTM) neural network by combining history, GF information, and location in time series to achieve the optimization heading angle of underwater dead reckoning. Due to its ability to adjust the utilization weights of local and global temporal information in the path, TA-LSTM possesses the capability to continually update neural network model parameters through a data-driven process during the navigation process. This enables the Attention-DR to achieve efficient navigation in regions without prior magnetic maps and overcome navigation failures caused by magnetic field anomalies. The simulation outcomes confirm the efficiency, precision, and practicability of the proposed algorithm. © 2023, CC BY.

关键词： Navigation

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Speed Planning and Interpolation Algorithm of High-Speed Nurbs Curve Based on an Elliptical Arc Fitting

SSRN

引用

SSRN 2022年

作者： Liu, Qingjian Zhang, Xu Dong, Xiaoyu Guan, Zenghan Liu, Zhigang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China Tianjin300384 China School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China

Taking advantage of the gradual change characteristic of the curvature of the conventional conic ellipse, this paper proposes a method of fitting a non-uniform rational basis spline (NURBS) curve with an elliptical arc and, thereafter, performing speed planning and interpolation of the elliptical arc itself. First, the method of elliptical arc fitting is introduced and then proven by simulation with comparative previous linear and arc fittings to obtain better fitting accuracy with fewer segments. Subsequently, the tangent vector of any point of an ellipse is used to complete the speed planning and interpolation of that ellipse. In terms of speed planning, the maximum acceleration of any point in the elliptical arc can be obtained by using a tangent vector, and the time speed curve in this work is completed based on this phenomenon. In the interpolation stage, the longest axis of the current point is determined by using the tangent vector of any point of the elliptical arc, according to which the pulse is sent, thereby completing the interpolation operation via this iterative cycle. This method unifies the processing model of the interpolation algorithm, the simplicity and efficiency of which is verified by subsequent simulation data. This method can also be universally applied to most other types of curves processing. © 2022, The Authors. All rights reserved.

关键词： Interpolation

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Non-contact Physiological Parameters Detection Based on MTCNN and EVM 5th

Non-contact Physiological Parameters Detection Based on MTCN...

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5th International Conference on Cognitive systems and Signal Processing, ICCSIP 2020

作者： Zhao, Jinfa Zhang, Wenchang Chai, Rongxuan Wu, Hang Chen, Wei Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin China Institute of Medical Support Technology Academy of Military Sciences of Chinese PLA Tianjin China

ISBN: (纸本)9789811623356

Non-contact physiological parameters detection has become an important but challenging task. This paper proposes a novel framework for Non-contact physiological parameters detection, which is based on MTCNN (Multi-task convolutional neural network) and EVM (Eulerian Video Magnification). The MTCNN is applied to compensate negative effects of the pseudo motion for improving the efficiency of face detection. The Laplacian pyramid of EVM is added to our framework to perform motion amplification to achieve simultaneous extraction of heart rate and respiration rate, which improves the accuracy of non-contact physiological parameter detection. Then we use FFT to analyze the relevant frequency bands in time domain and calculate the heart rate and breathing rate. In order to improve efficiency, GPU acceleration is implemented under the TensorRT framework. The experimental results based on data sets DUSS (detection under slight shaking) and DUO (detection under occlusion) show the effectiveness of this method. The average error of the heart rate and respiration rate are −0.1 and 0.6, respectively. Our method achieves comparable performance to finger clip oximeter with a good consistency, even in the case of wearing a mask. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Efficiency

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Optimization of experiment teaching in the course of mechanical principle 3

Optimization of experiment teaching in the course of mechani...

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3rd International Conference on Education Technology Management, ICETM 2020

作者： Hao, Pujun Liu, Jingna Ma, Wenpeng Wu, Ruiqin Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology China Tianjin Key LABORATORY for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9781450388757

Based on experience of former teaching reformation and philosophy of "Emerging Engineering Education", an experimental teaching reformation program that includes restructured knowledge system, modularization of experimental teaching process and diversified evaluation system is proposed. It is found that students have deeper and comprehensive understanding on knowledge and more enthusiasm in experimental process. Finally students have definite self-cognition about their division of labor in teamwork. Through gathering statistics, the effectiveness of reformation program is verified and this program can enrich practical experience of experimental teaching reformation. © 2020 ACM.

关键词： Optimization

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Chaotic time-delay signature suppression using quantum noise

arXiv

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arXiv 2021年

作者： Guo, Yanqiang Fang, Xin Zhang, Haojie Zhao, Tong Virte, Martin Guo, Xiaomin Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China State Key Laboratory of Cryptology Beijing100878 China Brussels Photonics Department of Applied Physics and Photonics Vrije Universiteit Brussel Brussels1050 Belgium

Time-delay signature (TDS) suppression of semiconductor lasers with external optical feedback is necessary to ensure security of chaos-based secure communications. Here we numerically and experimenttally demonstrate a technique to effectively suppress the TDS of chaotic laser using quantum noise. The TDS and dynamical complexity are quantified using the autocorrelation function and normalized permutation entropy at the feedback delay time, respectively. Quantum noise from quadrature fluctuations of vacuum state is prepared through balanced homodyne measurement. The effects of strength and bandwidth of quantum noise on chaotic TDS suppression and complexity enhancement are investigated numerically and experimentally. Compared to the original dynamics, the TDS of this quantum-noise improved chaos is sup-pressed up to 94% and the bandwidth suppression ratio of quantum noise to chaotic laser is 1:25. The experiment agrees well with the theory. The improved chaotic laser is potentially beneficial to chaos-based random number generation and secure communication. Copyright © 2021, The Authors. All rights reserved.

关键词： Time delay

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An accurate stop control method of high-speed rolling machine for automobile production line using laser ranging and two positon close loop

An accurate stop control method of high-speed rolling machin...

引用

2020 International Conference on Applied Mechanics and Mechanical Engineering, ICAMME 2020

作者： Qiao, Zhifeng Ge, Weimin Zhang, Haikang Wei, Huiyong Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology China NO.591Changjiang Road Nankai DistrictTianjin China

The high-speed rolling machine is a key equipment in the automatic production line of automobile body-in-white welding. This article focuses on analyzing a method for accurately stopping the high-speed rolling machine using laser distance measurement. Firstly, through the analysis of the movement process, the calculation method of the length of each period in the 7-stage S-type acceleration and deceleration in the movement of the high-speed rolling machine is given;secondly, the system control theory model of the measurement and control system is established to analyze the dual-position closed-loop strategy The method of realizing the accurate stopping of the high-speed rolling machine;finally, the accurate stopping control method of the high-speed rolling machine proposed in this paper was verified by building an experimental system and developing the corresponding control program. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Speed

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Prediction model of bone drilling temperature based on heat source method in surgical rehabilitation 4

Prediction model of bone drilling temperature based on heat ...

引用

4th CIRP Conference on Biomanufacturing, CIRP-BioM 2019

作者： Hu, Yahui Yan, Zhiqiang Li, Xiangjun Zhang, Chunqiu Zheng, Qingchun Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System Tianjing University of Technology Tianjin China School of Mechanical Engineering Tianjin University of Technology Tianjin China

In order to feedback the cutting temperature in real time during the operation with the surgical robot, this study established a temperature prediction model to analyze the temperature distribution of the cortex. In this work, a three-dimensional governing equation for heat transfer of bone tissue during drilling is proposed, and the heat transfer of cortical bone is evaluated by a reverse heat transfer method. The prediction model was validated by experimental methods and the heat affected zone (HAZ) of cortical bone was analyzed. The results show that the prediction results are in good agreement with the relevant experimental results. HAZ increases with increasing rate of penetration;the closer the bone hole is, the earlier the temperature rises;and the temperature at which the cortical bone is difficult to measure (radial distance x © 2020 The Authors.

关键词： Temperature distribution

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Applications of MXenes in human-like sensors and actuators

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Nano Research 2023年第4期16卷 5767-5795页

作者： Jinbo Pang Songang Peng Chongyang Hou Xiao Wang Ting Wang Yu Cao Weijia Zhou Ding Sun Kai Wang Mark H.Rümmeli Gianaurelio Cuniberti Hong Liu Institute for Advanced Interdisciplinary Research(iAIR) Collaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of ShandongUniversity of JinanJinan 250022China Institute for Materials Science and Max Bergmann Center of Biomaterials Technische Universität DresdenDresden 01069Germany Center for Advancing Electronics Dresden Technische Universität DresdenDresden 01069Germany Dresden Center for Computational Materials Science Technische Universität DresdenDresden 01062Germany Dresden Center for Intelligent Materials(GCL DCIM) Technische Universität DresdenDresden 01062Germany High-Frequency High-Voltage Device and Integrated Circuits R&D Center Institute of MicroelectronicsChinese Academy of SciencesBeijing 100029China Key Laboratory of Microelectronic Devices&Integrated Technology Institute of MicroelectronicsChinese Academy of SciencesBeijing 100029China Shenzhen Key Laboratory of Nanobiomechanics Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China State Key Laboratory of Biobased Material and Green Papermaking Qilu University of TechnologyShandong Academy of SciencesJinan 250353China School of Bioengineering Qilu University of TechnologyShandong Academy of ScienceJinan 250353China Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Ministry of Education) Northeast Electric Power UniversityJilin 132012China School of Electrical Engineering Northeast Electric Power UniversityJilin 132012China School of Electrical Engineering Weihai Innovation Research InstituteQingdao UniversityQingdao 266000China School of Electrical and Computer Engineering Jilin Jianzhu UniversityChangchun 130118China Institute for Complex Materials Leibniz Institute for Solid State and Materials Research Dresden(IFW Dresden)20 Helmholtz StrasseDresden 01069Germany College of Energy Soochow Institute for Energy and Materials Innovations Soochow UniversitySuzhou 215006China Key L

Human beings perceive the world through the senses of sight,hearing,smell,taste,touch,space,and *** first five senses are prerequisites for people to *** sensing organs upload information to the nervous systems,including the brain,for interpreting the surrounding ***,the brain sends commands to muscles reflexively to react to stimuli,including light,gas,chemicals,sound,and ***,as an emerging two-dimensional material,has been intensively adopted in the applications of various sensors and *** this review,we update the sensors to mimic five primary senses and actuators for stimulating muscles,which employ MXene-based film,membrane,and composite with other functional ***,a brief introduction is delivered for the structure,properties,and synthesis methods of ***,we feed the readers the recent reports on the MXene-derived image sensors as artificial retinas,gas sensors,chemical biosensors,acoustic devices,and tactile sensors for electronic ***,the actuators of MXene-based composite are ***,future opportunities are given to MXene research based on the requirements of artificial intelligence and humanoid robot,which may induce prospects in accompanying healthcare and biomedical engineering applications.

关键词： MXenes sensors actuators gas sensors biosensors tactile sensors sound sensors artificial retina

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A novel fault diagnosis framework for harmonic reducer using transmission error signal

引用

Measurement 2025年 256卷

作者： Runjun Liu Guoyan Li Jingbin Zhang Yongming Zhang Jue Zhang Yiduo Mei Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education College of Mechanical Engineering Taiyuan University of Technology Taiyuan 030024 China State Key Laboratory of Intelligent Mining Equipment Technology Shanxi TZ Intelligent Mining Equipment Technology Co.Ltd Taiyuan 030024 China Inspur Yunzhou Industrial Internet Co. Ltd Jinan City Shandong 250101 China

Transmission error (TE) has emerged as a reliable indicator for fault diagnosis. However, in harmonic reducers, the non-stationary nature of measured TE signals results in the coupling of fault information with various interference components, including manufacturing and assembly errors, thereby complicating fault feature identification. To address this issue, this paper first establishes a TE model that accounts for multiple error sources. Simulations of TE under fault conditions reveal that high-frequency components exhibit periodic peaks with distinct fault characteristics, rendering them effective as fault-sensitive features. Building upon the prior analysis, a comprehensive TE-based fault diagnosis framework for harmonic reducers is proposed, termed VMD-DRGAF-Swin Transformer. Initially, the VMD-DRGAF method is proposed for TE signal decomposition and fault feature fusion. This method extracts multi-modal fault-sensitive components and converts them into RGB images. Subsequently, the fused multi-modal images are input into a Swin Transformer-based diagnostic model for fault identification. Finally, an experimental TE signal dataset is collected to validate the diagnostic performance of the proposed method. The results demonstrate that the proposed method achieves higher diagnostic accuracy under various operating conditions, exhibiting strong generalization capabilities. Furthermore, ablation experiments confirm that the VMD-DRGAF method significantly enhances the fault recognition ability and robustness of the diagnostic model, outperforming traditional methods.

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10-Hertz quantum light source generation on the cesium D2 line using single photon modulation

arXiv

引用

arXiv 2022年

作者： Zuo, Guan-Hua Zhang, Yu-Chi Li, Gang Zhang, Peng-Fei Yang, Peng-Fei Guo, Yan-Qiang Zhu, Shi-Yao Zhang, Tian-Cai State Key Laboratory of Quantum Optics and Quantum Optics Devices Collaborative Innovation Center of Extreme Optics Institute of Opto-Electronics Shanxi University Taiyuan030006 China College of Physics and Electronic Engineering Shanxi University Taiyuan030006 China Department of Physics Zhejiang University Hangzhou310027 China Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China

Generation of quantum light source is a promising technique to overcome the standard quantum limit in precision measurement. Here, we demonstrate an experimental generation of quadrature squeezing resonating on the cesium D2 line down to 10 Hz for the first time. The maximum squeezing in audio frequency band is 5.57 dB. Moreover, we have presented a single-photon modulation locking to control the squeezing angle, while effectively suppressing the influence of laser noise on low-frequency squeezing. The whole system operates steadily for hours. The generated low-frequency quantum light source can be applied in quantum metrology, light-matter interaction investigation and quantum memory in the audio frequency band and even below. Copyright © 2022, The Authors. All rights reserved.

关键词： Photons

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