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Modeling and Simulation Research of a Novel Artificial Skin Sensor

Journal of Physics: Conference Series 2020年第1期1693卷

作者： Feilu Wang Yong Hu Yang Song Yufeng Chen Ruigen Ye School of Electronics and Information Engineering Anhui Jianzhu University Hefei 230601 China Key laboratory of building information acquisition and measurement control technology Anhui Jianzhu University Hefei 230601 China

In this paper, a novel artificial skin sensor model with special structure based on the flexibility of Polydimethylsiloxane (PDMS) and the piezoresistive effect of Poly Vinylidene Fluoride (PVDF) piezoelectric fiber is proposed to solve the problems of structure design and complicated manufacturing process of skin sensor sensitive units. It has excellent piezoelectric effect and can detect the external force efficiently and precisely. The finite element analysis technology is used to simulate the deformation of the novel artificial skin sensor under external force from different aspects. Firstly, the crossing-mesh sensitive unit model and the three-layer configuration with three-layer of the artificial skin sensor are designed. Secondly, the external forces are applied to the sensitive units with different diameters by finite element analysis, and the sensitive unit with optimum diameter is figured out for the novel artificial skin sensor. After that, with the optimum sensitive unit, the performance of the artificial skin sensor model with the optimum sensitive unit is specifically simulated when it's subjected to different stress. Finally, through seriously analyzing the experiment results, the mapping relationship between the deformation of the artificial skin sensor and the external force is obtained. Experiment results demonstrate that the novel artificial skin sensor has high sensitivity, not only can truly reflect the approximate linear relationship between sensor deformation and external load, but also can accurately detect the magnitude of external force applied to the sensor.

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FIR systems Identification Under Quantized Output Observations and a Large Class of Persistently Exciting Quantized Inputs

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Journal of systems Science & Complexity 2017年第5期30卷 1061-1071页

作者： HE Yanyu GUO Jin Key Laboratory of Systems and Control Institute of Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of Sciences School of Automation and Electrical Engineering University of Science and Technology Beijing

This paper investigates the FIR systems identification with quantized output observations and a large class of quantized inputs. The limit inferior of the regressors' frequencies of occurrences is employed to characterize the input's persistent excitation, under which the strong convergence and the convergence rate of the two-step estimation algorithm are given. As for the asymptotical efficiency,with a suitable selection of the weighting matrix in the algorithm, even though the limit of the product of the Cram′er-Rao(CR) lower bound and the data length does not exist as the data length goes to infinity, the estimates still can be asymptotically efficient in the sense of CR lower bound. A numerical example is given to demonstrate the effectiveness and the asymptotic efficiency of the algorithm.

关键词： Asymptotic efficiency FIR system identification quantized input quantized output observations

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Unraveling Ultrafast Photoionization in Hexagonal Boron Nitride

arXiv

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arXiv 2021年

作者： Xue, Lianjie Liu, Song Hang, Yang Summers, Adam M. Wilson, Derrek J. Wang, Xinya Chen, Pingping Folland, Thomas G. Hachtel, Jordan A. Shi, Hongyu Hosseini-Zavareh, Sajed Das, Suprem R. Lei, Shuting Zhang, Zhuhua Sorensen, Christopher M. Guo, Wanlin Caldwell, Joshua D. Edgar, James H. Blaga, Cosmin I. Trallero-Herrero, Carlos A. Department of Physics Kansas State University ManhattanKS66506 United States Tim Taylor Department of Chemical Engineering Kansas State University ManhattanKS66506 United States J. R. Macdonald Laboratory Department of Physics Kansas State University ManhattanKS66506 United States State Key Laboratory of Mechanics and Control of Mechanical Structures Institute of Nano Science Nanjing University of Aeronautics and Astronautics Nanjing210016 China Advanced Laser Light Source and few-cycle Inc. Institut Nationale de la Recherche Scientifique 1650 Boul. Lionel-Boulet VarennesQCJ3X 1P7 Canada Department of Industrial and Manufacturing Systems Engineering Kansas State University ManhattanKS66506 United States Department of Mechanical Engineering Vanderbilt University NashvilleTN37212 United States Center for Nanophase Materials Science Oak Ridge National Laboratory Oak Ridge37830 United States Department of Electrical and Computer Engineering Kansas State University ManhattanKS66506 United States Department of Physics University of Connecticut StorrsCT06269 United States

The non-linear response of dielectrics to intense, ultrashort electric fields has been a sustained topic of interest for decades with one of its most important applications being femtosecond laser micro/nano-machining. More recently, renewed interests in strong field physics of solids were raised with the advent of mid-infrared femtosecond laser pulses, such as high-order harmonic generation, optical-field-induced currents, etc. All these processes are underpinned by photoionization (PI), namely the electron transfer from the valence to the conduction bands, on a time scale too short for phononic motion to be of relevance. Here, in hexagonal boron nitride, we reveal that the bandgap can be finely manipulated by femtosecond laser pulses as a function of field polarization direction with respect to the lattice, in addition to the field’s intensity. It is the modification of bandgap that enables the ultrafast PI processes to take place in dielectrics. We further demonstrate the validity of the Keldysh theory in describing PI in dielectrics in the few TW/cm2 regime. © 2021, CC BY.

关键词： Photoionization

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Study on the Hg0 and NH3 oxidation performance of copper modified attapulgite catalysts

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Ranliao Huaxue Xuebao/Journal of Fuel Chemistry and Technology 2020年第10期48卷 1171-1178页

作者： Cao, Yue Chen, Chuan-Min Liu, Song-Tao Jia, Wen-Bo Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering North China Electric Power University Baoding071003 China MOE Key Laboratory of Resources and Environmental Systems Optimization North China Electric Power University Beijing102206 China

A copper-modified attapulgite (Cu3-ATP) catalyst with both mercury oxidation and ammonia oxidation activities was prepared by an improved wet impregnation method. Several characterization including SEM, H2-TPR and NH3-TPD were performed on it, and its mercury oxidation and ammonia oxidation performance were tested at 150-400℃. The results show that the copper species is successfully loaded on ATP surface, which significantly improves the redox ability of the catalyst, increases the strong acid sites and partial strong acid sites on the surface, and thus promotes the oxidation of Hg0 and NH3. HCl plays an important role in Hg0 oxidation. High temperature is not conducive to the Hg0 oxidation reaction, but can promote the oxidation of NH3. At 350℃, the oxidation efficiencies of Hg0 and NH3 over Cu3-ATP are both above 90%. Experiments on the influencing factors show that NH3 has an obvious inhibitory effect on mercury oxidation at high space velocity, while low concentrations of Hg0 and HCl have no significant influence on ammonia oxidation. When the gas hourly space velocity (GHSV) is lower than 5×104 h-1, Cu3-ATP can simultaneously oxidize NH3 and Hg0. In addition, the mercury oxidation reaction shows good sulfur resistance and water resistance, but SO2 has a certain inhibitory effect on ammonia oxidation. © 2020, Editorial Department of Journal of Shenyang University of Technology. All right reserved.

关键词： Copper

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Three-dimensional force simulation prediction of flexible sensor based on BP neural network

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Journal of Physics: Conference Series 2020年第1期1678卷

作者： Feilu Wang Yufeng Chen Yang Song Yong Hu Rungen Ye Yanan Jiang School of Electronics and Information Engineering Anhui Jianzhu University Hefei 230601 China Key laboratory of building information acquisition and measurement control technology Anhui Jianzhu University Hefei 230601 China

When the robot grabs the object, the force information detection of the object is the basis for the smooth grabbing process. The force information of the object can be fully reflected by detecting the force in the three-dimensional direction. In this paper, with polydimethylsiloxane (PDMS) as the substrate and embedded into the sensitive unit prepared by conductive rubber, a new flexible sensor which can detect three-dimensional force is designed. Firstly, based on the piezoresistive effect of conductive rubber, COMSOL Multiphysics software was used to carry out multi-physical field simulation experiment for the sensor. Furthermore, based on the nonlinear approximation ability of BP neural network and the resistance of simulation output, the training sample set and the test sample set were constructed by using the 5-fold cross validation method, and the BP neural network model was constructed to achieve the accurate prediction of three-dimensional force. Finally, the number of hidden layer neurons was adjusted to optimize the BP network model. The results of cross-validation experiments show that the sensor designed in this paper can effectively detect the three-dimensional force information, and the optimized BP neural network can significantly improve the accuracy of the three-dimensional force prediction.

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A study on rotate vector reducer performance degradation based on acoustic emission techniques

A study on rotate vector reducer performance degradation bas...

引用

2019 IEEE International Conference on Robotics and Biomimetics, ROBIO 2019

作者： An, Haibo Liang, Wei Ding, Xiaojian Zhang, Yinlong Tan, Jindong State Key Laboratory of Robotics Chinese Academy of Sciences Shenyang110016 China Key Laboratory of Networked Control Systems Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China Shenyang Institute of Automation Guangzhou Chinese Academy of Sciences Guangzhou511548 China Fifth Electronic Institute of MIIT Guangzhou510610 China Department of Mechanical Aerospace and Biomedical Engineering University of Tennessee KonxvilleTN37996 United States

ISBN: (纸本)9781728163215

This paper presents a performance degradation analysis for rotate vector (RV) reducer using acoustic emission (AE) techniques. Unlike the AE signals from fixed gear reducer that are steady and have unchanged route, the AE signals from RV reducer have variant propagation paths and strengths. This work investigates the kinematics model using AE techniques to solve the inherent issues of RV reducer performance degradation analysis, such as signal variabilities and inappropriate thresholds. Firstly, the propagation path of AE signals within the crankshaft is developed. Secondly, the attenuation trend of AE signals is exponentially formulated based on the corresponding propagation curve. The proposed method has been evaluated on the developed RV reducer platform. AE signals were collected under various working conditions, i.e., four abrasion states with eight types of loads and five rotation speeds. The experimental analysis on typical parameters (e.g., signal energies) proves the effectiveness and accuracy of the developed method based on AE techniques. © 2019 IEEE.

关键词： Crankshafts

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First-principles study on the bulk and two-dimensional structures of amnbi(a =k, rb, cs)-family materials

arXiv

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arXiv 2020年

作者： Zhu, Ziming Liao, Chunyan Li, Si Zhang, Xiaoming Wu, Weikang Yu, Zhi-Ming Yu, Rui Zhang, Wei Yang, Shengyuan A. Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha410081 China Research Laboratory for Quantum Materials Singapore University of Technology and Design Singapore487372 Singapore School of Materials Science and Engineering Hebei University of Technology Tianjin300130 China Beijing Key Lab of Nanophotonics & Ultrafine Optoelectronic Systems School of Physics Beijing Institute of Technology Beijing100081 China School of Physics and Technology Wuhan University Wuhan430072 China Fujian Provincial Key Laboratory of Quantum Manipulation and New Energy Materials College of Physics and Energy Fujian Normal University Fuzhou350117 China

Magnetic materials with high mobilities are intriguing subject of research from both fundamental and application perspectives. Based on first-principle calculations, we investigate the physical properties of the already synthesized AMnBi(A =K, Rb, Cs)-family materials. We show that these materials are antiferromagnetic (AFM), with Neel temperatures above 300 K. They contain AFM ordered Mn layers, while the interlayer coupling changes from ferromagnetic (FM) for KMnBi to AFM for RbMnBi and CsMnBi. We find that these materials are narrow gap semiconductors. Owing to the small effective mass, the electron carrier mobility can be very high, reaching up to 105 cm2/(V·s) for KMnBi. In contrast, the hole mobility is much suppressed, typically lower by two orders of magnitude. We further study their two-dimensional (2D) single layer structures, which are found be AFM with fairly high mobility ∼ 103 cm2/(V·s). Their Neel temperatures can still reach room temperature. Interesting, we find that the magnetic phase transition is also accompanied by a metal-insulator phase transition, with the paramagnetic metal phase possessing a pair of nonsymmorphic-symmetry-protected 2D spin-orbit Dirac points. Furthermore, the magnetism can be effectively controlled by the applied strain. When the magnetic ordering is turned into FM, the system can become a quantum anomalous Hall insulator with gapless chiral edge states. Copyright © 2020, The Authors. All rights reserved.

关键词： Antiferromagnetism

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Combining traditional analysis and machine learning to predict early, middle, and long-term recurrence of intrahepatic cholangiocarcinoma

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European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology 2025年第9期51卷 110141页

作者： Ruoyu Zhang Zengshuai Wang Min Yang Bo Chen Mei Liu Minhua Zheng Peter Xiaoping Liu Liming Wang Department of Hepatobiliary Surgery National Cancer Center National Clinical Research Center for Cancer Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College No. 17 Panjiayuan Nanli Area Chaoyang District Beijing 100021 China. School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing 100044 China. National Center of Gerontology Institute of Geriatric Medicine Chinese Academy of Medical Sciences and Peking Union Medical College 10073 Beijing China. State Key Laboratory of Molecular Oncology Department of Radiation Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College No. 17 Panjiayan Nanli Chaoyang District Beijing China. Laboratory of Cell and Molecular Biology & State Key Laboratory of Molecular Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China. School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing 100044 China. Electronic address: mhzheng@***. School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing 100044 China Department of Systems and Computer Engineering Carleton University Ottawa ON K1S 5B6 Canada. Electronic address: xpliu@sce.carleton.ca. Department of Hepatobiliary Surgery National Cancer Center National Clinical Research Center for Cancer Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College No. 17 Panjiayuan Nanli Area Chaoyang District Beijing 100021 China. Electronic address: stewen_wang@***.

INTRODUCTION:Intrahepatic cholangiocarcinoma (ICC) is a rare and highly aggressive cancer. Few patients are eligible for radical surgery, and most face the high risk of recurrence. METHODS:We developed early-, middle- and long-term (1-, 2-, and 3-year) ICC disease-free survival (DFS) prediction models using traditional Logistic analysis combined with machine learning (ML) and systematically compared the performance of traditional analysis and MLs. RESULTS:275, 256, and 238 ICC patients under radical surgery were included in the 1-, 2-, and 3-year DFS groups respectively. Five-fold cross-validation results demonstrated that both traditional Logistics and ML models exhibited remarkable robustness. MLs outperformed traditional Logistic models for DFS prediction across the AUC, accuracy and F1-scores. Specifically, the average AUC of training cohorts for the ML models were 0.878, 0.897 and 0.917 in 3 groups, compared to 0.657 (P < 0.001), 0.817 (P = 0.05), and 0.798 (P = 0.005) in traditional models. The average AUCs of testing cohorts for ML models were 0.831, 0.768, 0.803 in ML models in 3 groups, compared to 0.619 (P < 0.001), 0.719 (P = 0.008), 0.698 (P < 0.001) in traditional models. SHAP analysis identified lymph node metastasis played significant role in all-round recurrence, T stage and neural invasion had strong correction with middle and long-term recurrence in ICC patients. CONCLUSION:Models with high predictive efficiency across early, middle, and long-term recurrence have been successfully built. ML models outperformed Logistic models for DFS prediction in ICC patients. This study suggests new possibilities for advancing statistical analysis software, such as SPSS and Stata, through ML integration.

关键词： Intrahepatic cholangiocarcinoma Machine learning Recurrence Retrospective study Traditional analysis

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Design of the self-oscillating loop of the optically pumped cesium magnetometer

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Journal of Physics: Conference Series 2021年第1期1754卷

作者： Liyue Xue Haobin Dong Wang Luo Jian Ge Huan Liu School of Automation China University of Geosciences Wuhan Hubei 430074 China Hubei Key Laboratory of Advance Control and Intelligent Automation for Complex Systems Wuhan Hubei 430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan Hubei 430074 China

The self-oscillating loop is an important part of the optically pumped cesium magnetometer, and its working characteristics directly determine the accurate measurement of external magnetic field. The design of the self-oscillating loop has been discussed in this paper, including a signal conditioning circuit, a phase shifter and a frequency meter. It can be used to precisely improve the accuracy of resonance signal in a wide range of frequencies from 50 kHz to 350 kHz. The relative error of our system is less than 0.5×10−6 and it has a good prospect in the optically pumped cesium magnetometer.

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A distributed high-density resistivity meter working on a two-wire cable

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Journal of Physics: Conference Series 2021年第1期1754卷

作者： Xiquan Dong Wang Luo Hongpeng Wang Jian Ge Huan Liu Haobin Dong School of Automation China University of Geosciences Wuhan Hubei 430074 China Hubei Key Laboratory of Advance Control and Intelligent Automation for Complex Systems Wuhan Hubei 430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan Hubei 430074 China

High-density resistivity meter is a common instrument used in shallow geophysical exploration. At present, the structure of the centralized high-density resistivity meter is bulky, while the distributed instrument needs more than 7 core cables, and the long measuring line needs to relay power supply to the intelligent electrode to provide enough voltage, so it is not convenient to use in the field. Aiming at the above problems, a new type of distributed high-density meter is developed, which can realize the power supply, communication, and measurement functions of distributed high-density meter and carry out multi-channel measurement through the time-division multiplexing of a two-wire cable and the short-time power supply of supercapacitor. Finally, the performance of the instrument was verified by experiments.

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