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Identification of pure liquid precursor chemicals based on coherence function and fourier transform using energy dispersive X-ray diffraction scattering

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Procedia Engineering 2010年 7卷 158-164页

作者： Dingjun Qu Daoyang Yu Wei Li Yu Zhang Bai Sun Yu Zhong Minqiang Li Jinhuai Liu Key Laboratory of Biomimetric Sensing and Advanced Robot Technology Institute of Intelligent Machines Chinese Academy of Sciences Hefei PR China Department of Automation University of Science and Technology of China Hefei PR China

A new method based on Fourier transform and coherence function was used to identify pure liquid precursor chemicals in this paper. Feature scattering spectra of several kinds of pure liquid precursor chemicals were detected through energy-dispersive X-ray scattering (EDXRS). These spectra, each of which was unique to particular liquid in the same case, were processed with coherence function after truncation and wavelet denoising. A suitable frequency was proved useful in calculation of similarity for liquid identification. In this work, the method mentioned above showed to be useful and effective to identify the unknown liquid materials whose samples were saved in the database.

关键词： Precursor chemicals Coherence function Energy-dispersive X-ray scattering Wavelet denoising Fourier transform

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A bio-inspired wall-climbing robot with claw wheels and adhesive tracks

A bio-inspired wall-climbing robot with claw wheels and adhe...

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2018 IEEE International Conference on Information and Automation, ICIA 2018

作者： Liu, Jinfu Xu, Linsen Xu, Jiajun Wu, Xuan Wang, Meiling Lu, Linlin Hefei Institutes of Physical Science Chinese Academy of Sciences Institute of Advanced Manufacturing Technology Hefei China University of Science and Technology of China Hefei China Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Anhui Province China

ISBN: (纸本)9781538680698

The paper presents a bio-inspired wall-climbing robot capable of locomotion on a great variety of surfaces at speeds up to 10cm/s using claws or tracks. Inspired by the mechanism and movement characteristics of the feet on flies, a novel and innovative structure is designed and implemented. Furthermore, three mechanical models, which are statics and dynamics on rough wall surfaces as well as adhesion on smooth surface, are proposed to analyze the force or torque acting on the robot. Finally, experiments on foam, brick and glass surfaces are carried out, and the results indicate that the robot with claw wheels and adhesive tracks is able to climb steadily on various complex walls. © 2018 IEEE.

关键词： Adhesives

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Analysis of skin influence in identification of heroin using singular value decomposition

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Procedia Engineering 2010年 7卷 185-189页

作者： Yu Zhang Minqiang Li Yu Zhong Wei Li Bai Sun Daoyang Yu Jinhuai Liu Department of Automation University of Science and Technology of China Hefei 230027 China Key Laboratory of Biomimetric Sensing and Advanced Robot Technology Institute of Intelligent Machines Chinese Academy of Sciences Hefei China

In this paper, the influence of skin in energy-dispersive X-ray diffraction (EDXRD) spectrum of heroin was studied using singular value decomposition (SVD). The spectra of pure heroin, skin and heroin covered by skin were organized as matrices for SVD after truncation and smoothing. It was demonstrated that the two largest singular values and their corresponding left and right singular vectors of each matrix could reconstruct the matrix in the permissible error and contained enough information of the matrix. We extracted the two largest singular values of each matrix as two dimensions of the feature point of the corresponding spectrum. The feature points of different samples were clustered and a linear relationship was proved to be between and movement of feature point and thickness of component of skin, such as fat and muscle. This indicated that the method of SVD may be suitable for identification of heroin covered by skin.

关键词： Heroin identification Singular value decomposition Energy-dispersive X-ray scattering

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RETRACTED ARTICLE: A dynamic simulation of force in the movement of ameba based on COSMOS

RETRACTED ARTICLE: A dynamic simulation of force in the move...

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作者： Chen, Lei Luo, Minzhou Mei, Tao Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Hefei Institute of Intelligent Machines CAS Hefei 230031 China Precision Machinery and Precision Instrumentation University of Science and Technology of China Hefei 230026 China

ISBN: (纸本)9780769540467

Imitation amoeba robot entering the space whose nominal size is smaller than itself can complete can perform many tasks inaccessible to other robots or humans such as surveillance, inspection, repair, cleaning, and exploration. Parameterized solid models of amoeba are established by using *** simulation analysis of the movement and the force situation in the movement is completed by using the software of COSMOS. The change of Amoeba entities that based on deformation of the ipmc material in effect ofthe control unit is researched. © 2010 IEEE.

关键词： Computer software

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LLNet: A Lightweight Lane Line Detection Network 11th

LLNet: A Lightweight Lane Line Detection Network

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11th International Conference on Image and Graphics, ICIG 2021

作者： Zhang, Lu Kong, Bin Wang, Can Institute of Intelligent Machines Chinese Academy of Sciences Hefei230031 China University of Science and Technology of China Hefei230026 China The Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Hefei230031 China

ISBN: (纸本)9783030873547

The lane line detection methods based on semantic segmentation networks have achieved remarkable results in recent years. However, the semantic segmentation networks are aimed at the pixel level. These methods have a large amount of computation, which can reduce the real-time performance. To reduce the calculation, we propose a Light-weight Lane line detection Network (LLNet). A new sub-layer is established. We also adopt a jumping structure between two sub-layers to enhance the supervisory role of ground truth. Furthermore, we adopt two branches, including instance segmentation and embeddable branch. The combination of two branches can filter out the wrongly detected pixels and further improve the accuracy of detection. Experimental results in the Tusimple dataset show that the detection accuracy of the proposed network is comparable with LaneNet. Meanwhile, it has good real-time performance, and the processing time of a single image is 10.285 ms, which is about one-half of LaneNet. © 2021, Springer Nature Switzerland AG.

关键词： Semantic Segmentation

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Partial least-squares regression for identification of liquid materials

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Procedia Engineering 2010年 7卷 130-134页

作者： Wei Li Yu Zhong Yu Zhang Daoyang Yu Bai Sun Minqiang Li Jinhuai Liu Key Laboratory of Biomimetric Sensing and Advanced Robot Technology Institute of Intelligent Machines Chinese Academy of Sciences Hefei 230031 PR China Department of Automation University of Science and Technology of China Hefei 230031 PR China

Partial least-squares (PLS) regression was demonstrated as a promising suitable method to identify quantitatively liquid materials based on the profile of energy dispersive X-ray scattering spectrum in this paper. Methanol, ethanol, sulfuric acid and acetic acid of different concentrations were measured under conditions of the scatter angle of 7°and the count time of 5 min. The results showed that the regression of concentration was effective. This suggests that PLS can be employed in detecting liquid materials.

关键词： Partial least-squares Energy dispersive X-ray scattering Liquid materials Liquid explosives Precursor chemicals

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Design, simulation and experimentation of a biomimetic wall-climbing robot with tracked spines

Design, simulation and experimentation of a biomimetic wall-...

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2020 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2020

作者： Shi, Jia Xu, Linsen Liu, Jinfu Cheng, Gaoxin Liang, Xingcan Liu, Lei Chen, Shouqi Xu, Hong Institute of Advanced Manufacturing Technology Hefei Institutes of Physical Science Cas University of Science and Technology of China Changzhou City Jiangsu Province China Institute of Advanced Manufacturing Technology Hefei Institutes of Physical Science Cas Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Changzhou City Jiangsu Province China

ISBN: (数字)9781728198743

ISBN: (纸本)9781728198736

This paper presents a novel cooperative grasping wheeled wall-climbing robot with the ability to climb concrete, brick walls using tracked-spines arrays located around the track. The robot uses a combination of the crank-link mechanism and gear transmission to control the tracked spines on both sides of the robot to grasp the asperities. The kinematic and dynamic analysis of the crank-link mechanism and the simulation demonstrate that the motion state of the robot is stable in the climbing process. By means of wireless communication, the control information is transmitted to the main controller, which drives the motors to make each mechanism work together. Finally, the prototype is fabricated and several experiments are carried out to verify the climbing performance of the robot. © 2020 IEEE.

关键词： Biomimetics

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Identification of liquid materials using energy dispersive X-ray scattering

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Procedia Engineering 2010年 7卷 135-142页

作者： Yu Zhong Bai Sun Daoyang Yu Wei Li Yu Zhang Minqiang Li Jinhuai Liu Key Laboratory of Biomimetric Sensing and Advanced Robot Technology Institute of Intelligent Machines Chinese Academy of Sciences Hefei 230031 PR China Anhui Provincial Laboratory of Biomimetic Sensor and Detecting Technology West Anhui University Anhui Lu’an 237012 237012 PR China

Energy dispersive X-ray scattering (EDXRS) has been successfully applied for the identification of liquid materials for the first time. Three liquid systems of primary alcohols, ketones compounds and acids are carefully investigation and the scattering spectra are described. Based on structural and compositional differences of compounds, the scattering profiles of all samples exhibit characteristic shapes, indicating that EDXRS profile is unique to each specific liquid material. These findings imply that EDXRS would be promisingly applied as a non-invasive inspection for liquid identification.

关键词： Liquid materials Energy dispersive X-ray scattering Detection Identification

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A genetic algorithm-based feature selection method for human identification based on ground reaction force 09

A genetic algorithm-based feature selection method for human...

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2009 World Summit on Genetic and Evolutionary Computation, 2009 GEC Summit - 1st ACM/SIGEVO Summit on Genetic and Evolutionary Computation, GEC'09

作者： Su, Xu Xu, Zhou Yi-ning, Sun Key laboratory of Biomimetic Sensing and Advanced Robot Technology Institute of Intelligence Machines Chinese Academy of Science Hefei Anhui 230031 China Dept. of Automation University of Science and Technology of China Hefei Anhui 230027 China

ISBN: (纸本)9781605583266

Biometrics-based identification is a promising technology. Ground reaction force (GRF), with its characteristics of non-invasion, easily measurement and low environment-affection, shows a potential in this field. Feature selection is an important step in biometrics-based identification. In this paper, a genetic algorithm-based feature selection method was discussed. The proposed algorithm has the advantage of finding small subsets of features that perform well in identification. Two contrast experiments were conducted to show the effectiveness of the algorithm, which shows that with GA, higher identification accuracy and smaller feature size were reached. Copyright 2009 ACM.

关键词： Genetic algorithms

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Analytic modeling of spoke torque sensor based on deformation compatibility

Analytic modeling of spoke torque sensor based on deformatio...

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2018 IEEE International Conference on Information and Automation, ICIA 2018

作者： Sun, Yu-Xiang Xu, Yu-Yun Cao, Hui-Bin Shuang, Feng Gao, Li-Fu Ge, Yun-Jian Anhui Province Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Institute of Intelligent Machines Chinese Academy of Sciences Hefei Anhui Province230031 China Department of Automation University of Science and Technology of China Hefei230026 China

ISBN: (纸本)9781538680698

Accurate description of the relationship between sensor loading deformation and elastomeric structure is very important to improving design efficiency. In this paper, we focus on the spoke torque sensor, according to the deformation characteristics of the sensor under loading, and analyzes the relationship among stress, strain and disturbance of the torque sensor in combination with the deformation compatibility conditions, and establishes the analytical model of the torsion stiffness of the sensor. Finally, by comparing the finite element simulation results, it is verified that by considering the deformation coordination conditions, the precision of the analytical modeling of the torque sensor can be improved. © 2018 IEEE.

关键词： Analytical models

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