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Asia Communications and Photonics Conference and Exhibition (ACP)

作者： Qianwu Zhang Shuaihang Duan Zicong Wang Yuntong Jiang Pu Li Bingyao Cao Yating Wu Key Laboratory of Specialty Fiber Optics and Optical Access Networks Shanghai Institute for Advanced Communication and Data Science Shanghai University Shanghai China Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan China

An improved Volterra nonlinear equalizer (VNLE) for 50 Gb/s PAM4 IM/DD Transmission with 10G-Class optics is experimentally demonstrated and show >2 dB sensitivity improvement compared to the 3 rd -order VNLE and s... 详细信息

ISBN: (数字)9781943580828

ISBN: (纸本)9781728176567

关键词： Optical fibers Sensitivity Equalizers Optics Optical fiber communication Encoding Photonics

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Step-length optimization based on genetic algorithm for a parallel mobile robot

Step-length optimization based on genetic algorithm for a pa...

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International Conference on Information Science and Control Engineering (ICISCE)

作者： Shuang Liu Wei Chen Hang Wu Wenchang Zhang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Tianjin University of Technology Tianjin China Academy of Military Sciences of Chinese PLA Institute of Medical Support Technology Tianjin China

With the development of technology, parallel mobile robots have been paid more attention in various industries due to the strong load capacity, high running stability and rapid response speed. However, step-length optimization is an important but challenging task for this kind of mobile robot. Step length has dramatic effect on the stability of robot and the performance of electric cylinder. Balancing the speed characteristics and stability margin, we propose a genetic algorithm to solve this problem and design a novel fitness function that can measure the motion characteristics of parallel mobile robot. Effectiveness of our method is verified by experiments.

关键词： Industries Information science Control engineering Service robots Mobile robots Motion measurement Task analysis

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Constructing Epidermal Rete Ridges Using Composite Hydrogel to Enhance Multiple Signaling Pathways for the Maintenance of Epidermal Stem Cell Niche

SSRN

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SSRN 2023年

作者： Shen, Zhizhong Liu, Zixian Sun, Lei Li, Meng Han, Lu Wang, Jianming Wu, Xunwei Sang, Shengbo Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception College of Information and Computer 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 Shanxi Research Institute of 6D Artificial Intelligence Biomedical Science Taiyuan030031 China General Hospital of TISCO North Street Xinghualing District Taiyuan030809 China Engineering Laboratory for Biomaterials and Tissue Regeneration Ningbo Stomatology Hospital Savaid Stomatology School Hangzhou Medical College Ningbo China Department of Tissue Engineering and Regeneration School and Hospital of Stomatology Cheeloo College of Medicine Shandong University Shandong Key Laboratory of Oral Tissue Regeneration Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration Shandong Jinan China Cutaneous Biology Research Center Massachusetts General Hospital Harvard Medical School BostonMA United States

The undulating microstructure rete ridge (RR) located at the junction between the dermis and epidermis plays a crucial role in improving skin mechanical properties and maintaining skin homeostasis. However, the investigation of RR microstructures are usually neglected in current tissue engineering for skin regeneration. Here, to create an epidermal model with RR microstructures, keratinocytes were inoculated onto a patterned GelMA-PEGDA hydrogel constructed using molding technology. Furthermore, grafting acryloylated Arg-Gly-Asp (RGD) peptides on the hydrogel surface significantly improved cell adhesion, fusion, and development. RT-PCR, Western blot, and immunofluorescence staining confirmed that cells on RR microstructures exhibited higher gene and protein expression associated with epidermal stem cells. RNA sequencing analysis of cells on RR microstructure showed higher gene expression profiles related to stem cell maintenance, basement membrane formation, and epidermal development. Furthermore, RT-PCR analysis of epidermal models of various dimensions demonstrated that smaller microstructures were more conducive to epidermal stem cell marker gene expression, which is analogous to human skin. Overall, we have successfully developed a method for integrating RR microstructures into an epidermal model that mimics natural skin to maintain epidermal stem cell niche, providing a valuable reference for researching skin regeneration within the fields of tissue engineering and regenerative medicine. © 2023, The Authors. All rights reserved.

关键词： Microstructure

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The current feedforward compensation method for the cogging torque of permanent magnet synchronous motors

The current feedforward compensation method for the cogging ...

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IEEE International Conference on Cyber technology in Automation, Control, and intelligent systems

作者： Liu Xin Zhou Dong Zhang Pei Wang Rui Beijing Institute of Spacecraft System Engineering Beijing Key Laboratory of Intelligent Space Robotic System Technology and Applications Beijing PR China

ISBN: (数字)9781728107707

ISBN: (纸本)9781728107714

The cogging torque is the inherent characteristic of permanent motors with the cogging. The cogging torque reduces the stability of the motor, especially in the status of the low speed. A compensation method based on the current feedforward is proposed in terms with the function between the torque and Q-Current by the method of Space Vector PWM of the permanent magnet synchronous motors. The relation equation between the cogging torque and the rotor angle is obtained by the experimental analysis. And then, the transfer function of the current closed-loop system is obtained by using the experiment data and the system identification method. The cogging torque compensation current is calculated by the forecast for the position of the rotor. The experiment results show that the presented method can effectively improve the stability of the motor speed.

关键词： Torque Forging Permanent magnet motors Synchronous motors Rotors Transfer functions Feedforward systems

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Diffusion mechanism simulation of cloud manufacturing complex network based on cooperative game theory

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Journal of systems Engineering and Electronics 2018年第2期29卷 321-335页

作者： GENG Chao QU Shiyou XIAO Yingying WANG Mei SHI Guoqiang LIN Tingyu XUE Junjie JIA Zhengxuan Economics and Management School Harbin Institute of Technology at Weihai Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Science and Technology on Space System Simulation Laboratory Beijing Simulation Center

Cloud manufacturing is a specific implementation form of the "Internet + manufacturing" strategy. Why and how to develop cloud manufacturing platform(CMP), however, remains the key concern of both platform operators and users. A microscopic model is proposed to investigate advantages and diffusion forces of CMP through exploration of its diffusion process and mechanism. Specifically, a three-stage basic evolution process of CMP is innovatively proposed. Then, based on this basic process, a more complex CMP evolution model has been established in virtue of complex network theory, with five diffusion forces identified. Thereafter, simulations on CMP diffusion have been conducted. The results indicate that, CMP possesses better resource utilization,user satisfaction, and enterprise utility. Results of simulation on impacts of different diffusion forces show that both the time required for CMP to reach an equilibrium state and the final network size are affected simultaneously by the five diffusion forces. All these analyses indicate that CMP could create an open online cooperation environment and turns out to be an effective implementation of the "Internet + manufacturing" strategy.

关键词： complex network cloud manufacturing innovation diffusion network effect Gale-Shapley algorithm cooperative game theory

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二维/三维异质结构的纳米级相管理以实现高效的钙钛矿太阳能电池（英文）

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Science Bulletin 2024年第18期 2853-2861页

作者：顾浩朱桉楠夏俊民李旺郑嘉豪杨涛李胜文张楠梅时良蔡永青陈石梁超邢贵川 Joint Key Laboratory of the Ministry of Education Institute of Applied Physics and Materials Engineering University of Macau State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM) Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM) Nanjing University of Posts & Telecommunications (NUPT) MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter School of Physics National Innovation Platform (Center) for Industry-Education Integration of Energy Storage Technology Xi'an Jiaotong University Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic Systems Harbin Institute of Technology Institute for Electric Light Sources School of Information Science and Technology Fudan University

The stabilization of the formamidinium lead iodide （FAPbⅠ3） structure is pivotal for the development of efficient photovoltaic *** two-dimensional （2D） layers to passivate the threedimensional （3D） perovskite is essential for maintaining the a-phase of FAPb Ⅰ3and enhancing the power conversion efficiency （PCE） of perovskite solar cells （PSCs）.However,the role of bulky ligands in the phase management of 2D perovskites,crucial for the stabilization of FAPbⅠ3,has not yet been *** this study,we synthesized nanoscale 2D perovskite capping crusts with

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Human-like Walking of a Biped Robot Actuated by Pneumatic Artificial Muscles and Springs*

Human-like Walking of a Biped Robot Actuated by Pneumatic Ar...

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IEEE International Conference on Automation Science and Engineering (CASE)

作者： Yixiang Liu Qing Bi Xizhe Zang Yibin Li School of Control Science and Engineering Shandong University Jinan China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China Engineering Research Center of Intelligent Unmanned System Ministry of Education Jinan China Shandong Institute of Advanced Technology Chinese Academy of Sciences Jinan China

ISBN: (数字)9781728169040

ISBN: (纸本)9781728169057

Human walking gait is much more natural looking and energy efficient compared with biped robots. This paper presents a bio-inspired approach to realizing more human-like biped robotic walking. For this purpose, a biped robot actuated coordinately by pneumatic artificial muscles and springs is developed, capable of exploiting passive compliance of the mechanical system in locomotion. And a control scheme for human-like walking is designed based on finite state machine. Experiments show that the biped robot can walk stably on the treadmill even with some small obstacles. The realized gait has the important features of human walking, including heel strike and toe off, stretched knees, and variation in the height of the body's center of mass, which demonstrates the effectiveness of the proposed approach.

关键词： Conferences Automation Computer aided software engineering

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Spherical interpolated convolutional network with distance-feature density for 3D semantic segmentation of point clouds

arXiv

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arXiv 2020年

作者： Wang, Guangming Yang, Yehui Zhang, Huixin Liu, Zhe Wang, Hesheng Department of Automation Insititue of Medical Robotics Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong University Shanghai200240 China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology China Department of Computer Science and Technology University of Cambridge United Kingdom

The semantic segmentation of point clouds is an important part of the environment perception for robots. However, it is difficult to directly adopt the traditional 3D convolution kernel to extract features from raw 3D point clouds because of the unstructured property of point clouds. In this paper, a spherical interpolated convolution operator is proposed to replace the traditional grid-shaped 3D convolution operator. This newly proposed feature extraction operator improves the accuracy of the network and reduces the parameters of the network. In addition, this paper analyzes the defect of point cloud interpolation methods based on the distance as the interpolation weight and proposes the self-learned distance-feature density by combining the distance and the feature correlation. The proposed method makes the feature extraction of spherical interpolated convolution network more rational and effective. The effectiveness of the proposed network is demonstrated on the 3D semantic segmentation task of point clouds. Experiments show that the proposed method achieves good performance on the ScanNet dataset and Paris-Lille-3D dataset. Copyright © 2020, The Authors. All rights reserved.

关键词： Semantic Segmentation

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Neuron-Inspired Ferroelectric Bioelectronics for Adaptive Biointerfacing

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advanced materials (Deerfield Beach, Fla.) 2025年 e2416698页

作者： Fang Wang Lulu Wang Xule Zhu Yi Lu Xuemin Du State Key Laboratory of Biomedical Imaging Science and System Center for Intelligent Biomedical Materials and Devices (IBMD) Shenzhen Institutes of Advanced Technology (SIAT) Chinese Academy of Sciences (CAS) Shenzhen 518055 P. R. China. College of Physical Science and Technology Yangzhou University Yangzhou 225002 P. R. China. State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology，Shenzhen Institutes of Advanced Technology (SIAT)，Chinese Academy of Sciences (CAS) Shenzhen-Hong Kong Institute of Brain Science Shenzhen 518055 P. R. China.

Implantable bioelectronics, which are essential to neuroscience studies, neurological disorder treatment, and brain-machine interfaces, have become indispensable communication bridges between biological systems and the external world through sensing, monitoring, or manipulating bioelectrical signals. However, conventional implantable bioelectronic devices face key challenges in adaptive interfacing with neural tissues due to their lack of neuron-preferred properties and neuron-similar behaviors. Here, innovative neuron-inspired ferroelectric bioelectronics (FerroE) are reported that consists of biocompatible polydopamine-modified barium titanate nanoparticles, ferroelectric poly(vinylidene fluoride-co-trifluoroethylene) copolymer, and cellular-scale micropyramid array structures, imparting adaptive interfacing with neural systems. These FerroE not only achieve neuron-preferred flexible and topographical properties, but also offer neuron-similar behaviors including highly efficient and stable light-induced polarization change, superior capability of producing electric signals, and seamless integration and adaptive communication with neurons. Moreover, the FerroE allows for adaptive interfacing with both peripheral and central neural networks of mice, enabling regulation of their heart rate and motion behavior in a wireless, non-genetic, and non-contact manner. Notably, the FerroE demonstrates unprecedented structural and functional stability and negligible immune response even after 3 months of implantation in vivo. Such bioinspired FerroE are opening new opportunities for next-generation brain-machine interfaces, tissue engineering materials, and biomedical devices.

关键词： adaptive biointerface bioelectronics ferroelectric materials neuromodulation neuron‐like

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Mechanism Design and Kinematics Analysis of an Original Cable-driving Exoskeleton Robot 2

Mechanism Design and Kinematics Analysis of an Original Cabl...

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2nd IEEE advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018

作者： Ma, Ruqi Tang, Zixin Gao, Xiangyu Ni, Wencheng Beijing Key Laboratory of Intelligent Space Robotic System Technology and Application Institute of Spacecraft System Engineering CAST Beijing China

ISBN: (纸本)9781538618035

To meet the lightweight and flexibility actual requirements of the exoskeleton robot system used for robot assisted rehabilitation;a exoskeleton system according with the motion characteristics of human upper limbs was designed based on the analysis of upper limbs structures. The shoulder and elbow joints of the exoskeleton system are driven by steel wire to realize the movement and torque transfer, which can not only realize the lightweight mechanism design of the exoskeleton by allocating the joint driving components at the robot base, but also can realize the flexible mechanism design of the joints by adjusting the stiffness of the cable-driving system. The decoupling matrix of the exoskeleton cable-driving system was given based on the analysis of the shoulder and elbow joints motion characteristic and the position and pose decoupled kinematics modal was established by using vector product method. The test experiments based on the physical prototype show that the motion range and the motion characteristics of the exoskeleton robot system can perfectly meet the needs of upper limb rehabilitation training. © 2018 IEEE.

关键词： Cables

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