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Pinning boundary sampled-data synchronization of coupled reaction-diffusion neural networks

Neurocomputing 2025年

作者： Zi-Peng Wang Bo-Ming Chen Junfei Qiao Biao Luo Huai-Ning Wu Tingwen Huang Guangwei Chen School of Information Science and Technology Beijing Laboratory of Smart Environmental Protection Beijing Key Laboratory of Computational Intelligence and Intelligent System and Beijing Institute of Artificial Intelligence Beijing University of Technology Beijing 100124 China School of Automation Central South University Changsha 410083 China School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Faculty of Computer Science and Control Engineering Shenzhen University of Advanced Technology Shenzhen 518107 China

In this paper, the pinning boundary sampled-data (SD) synchronization problem of coupled reaction–diffusion neural networks (CRDNNs) with SD-based couplings is investigated under boundary and distributed SD measurements. First, a pinning boundary SD controller is designed to effectively address the synchronization problem of CRDNNs, utilizing boundary and distributed SD measurements and requiring only a small number of sensors and actuators. Then, linear matrix inequalities provide adequate conditions that ensure exponential stability of the synchronization error system by using the designed pinning boundary SD controller, derived through inequality techniques and Lyapunov functionals. Finally, we present a numerical example to showcase the practical applicability and effectiveness of the proposed pinning boundary SD synchronization method.

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Precise photon correlation measurement of a chaotic laser

arXiv

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arXiv 2019年

作者： Guo, Xiaomin Cheng, Chen Liu, Tong Fang, Xin Guo, Yanqiang Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan030024 China College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China

The second order photon correlation g(2)(τ) of a chaotic optical‐feedback semiconductor laser is precisely measured using Hanbury Brown‐Twiss interferometer. The accurate g(2)(τ) with non‐zero delay time is obtained experimentally from the photon pair time interval distribution through a ninth‐order self‐convolution correction. The experimental results agrees well with the theoretical analysis. The relative error of g(2)(τ) is no more than 5% within 50 ns delay time. The bunching effect and coherence time of chaotic laser are measured via the precise photon correlation technique. This technique provides a new tool to improve the accuracy of g(2)(τ) measurement and boost the applications of quantum statistics and correlation. Copyright © 2019, The Authors. All rights reserved.

关键词： Quantum optics

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Analysis of Anchor-Based and Anchor-Free Object Detection Methods Based on Deep Learning

Analysis of Anchor-Based and Anchor-Free Object Detection Me...

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IEEE International Conference on Mechatronics and Automation

作者： Shujian Liu Haibo Zhou Chenming Li Shuo Wang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

As one of the core mission of computer vision, object detection has been widely applied with the rapid development of computer technology, especially in the fields of face detection, behavior detection, auto driving, and intelligent monitoring. Aiming at the shortcomings of the traditional object detection, such as low detection accuracy, low efficiency and poor robustness, this article summarizes deep learning-based detectors of two kinds of modules: Anchor-Based and Anchor-Free. The performance of each detector is compared and analyzed in this paper as well. In addition, we summarize the development of object detection's key technologies from the aspect of improvement of Backbone, the optimization of NMS, imbalance of positive and negative samples' solution etc. Finally, the development trend of object detection is discussed from the prospect of lightweight detection model, weakly supervision detection and small object detection etc.

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Influence of Micro-texture Parameters on Bone Drilling Force and Torque: A Finite Element Model 4

Influence of Micro-texture Parameters on Bone Drilling Force...

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2018 4th International Conference on Mechanical Engineering and Automation Science, ICMEAS 2018

作者： Hu, Yahui Li, Xiangjun Chen, Chuncheng Su, Lili Zheng, Qingchun Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China Tianjin University of Technology 391 Binshui West Road Tianjin Xiqing District300384 China

The micro-texture on the tool surface is an effective way to improve the quality of the drilling. While high-performance micro-texture plays an important role in improving the quality of working surface and prolonging the life of tool. In this study, a three-dimensional finite element model was established to study the relationship between drilling thrust, torque and microstructure parameters (micro-pit depth, micro-pit diameter and micro-pit spacing) during drilling of cortical bone. The model was validated by cortical bone drilling using a micro-structured tool. On basis of this, the thrust and torque prediction models of the micro-texture parameters were obtained. The results indicate that the thrust and torque increased with the increase of micro-pit diameter;while the increase of the micro-pit spacing caused the thrust and torque to decrease. When the depth of the micro-pit increased, the thrust and torque decreased first and then increased, and we found that the effect of micro-pit spacing and micro-pit depth on force and torque is insignificant. © Published under licence by IOP Publishing Ltd.

关键词： Torque

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Parallel real-time quantum random number generator

arXiv

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arXiv 2019年

作者： Guo, Xiaomin Cheng, Chen Wu, Mingchuan Gao, Qinzhong Li, Pu Guo, Yanqiang Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan030024 China College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China

Quantum random number generation exploits inherent randomness of quantum mechanical processes and measurements. Real-time generation rate of quantum random numbers is usually limited by electronic bandwidth and data processing rates. Here we use a multiplexing scheme to create a fast real-time quantum random number generator based on continuous variable vacuum fluctuations. Multiple sideband frequency modes of a quantum vacuum state within a homodyne detection bandwidth are concurrently extracted as the randomness source. Parallel post-processing of raw data from three sub-entropy sources is realized in one field-programmable gate array (FPGA) based on Toeplitz-hashing extractors. A cumulative generation rate of 8.25 Gbps in real-time is achieved. The system relies on optoelectronic components and circuits that could be integrated in a compact, economical package. © 2019 Copyright © 2019, The Authors. All rights reserved.

关键词： Random processes

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Mechanical Properties of Glycated Cracked Articular Cartilage Under Uniaxial and Cyclic Tensile Loading

SSRN

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SSRN 2025年

作者： Gao, Li-Lan Fang, Yi Lin, Xiang-Long Kong, De-Zhao Tan, Yan-Song Li, Rui-Xin Sun, Kai Zhang, Chun-Qiu Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300382 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300382 China Co. Ltd. Tianjin300190 China Tianjin Key Laboratory of Oral and Maxillofacial Function Reconstruction Tianjin Stomatological Hospital The Affiliated Stomatological Hospital of Nankai University Tianjin300041 China Orthopaedic of Tianjin First Central Hospital Tianjin300190 China

In clinical diagnosis, diabetes, and arthritis were often considered independent, which leads to diabetics getting worse by ignoring early arthritis symptoms. Therefore, the fatigue damage mechanism of articular cartilage in a hyperglycemic environment must be clarified. Under simulating physiological loads, this study delved into glycated cracked cartilage's fracture toughness and damage mechanism. Moreover, by introducing the glucose concentration as a crucial variable, a constitutive model of the ratcheting behavior of glycated cracked cartilage was established, which is utilized to predict the impacts of glycation on cartilage. The findings of this study revealed that the glycation environment causes cartilage hardening, which, in turn, leads to a substantial 38.1% reduction in the initial strain required for crack extension, despite an enhancement in tensile strength. The study of dynamic mechanical behavior further supported this observation. Scanning electron microscopy (SEM) showed that this mechanistic change occurs after collagen fibers harden and adhere to one another in the glycation environment. Overall, these results hold significant implications for understanding osteoarthritis (OA) in diabetic patients and for developing and protecting strategies related to this condition. © 2025, The Authors. All rights reserved.

关键词： Fracture toughness

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Atom-assisted second-order sideband generation in an optomechanical system with atom-cavity-resonator coupling

引用

Physical Review A 2019年第6期99卷 063810-063810页

作者： Bin Chen Lei Shang Xiao-Fang Wang Jian-Bin Chen Hai-Bin Xue Xin Liu Jie Zhang Department of Physics College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan Shanxi 030024 China Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province Taiyuan Shanxi 030024 China State Key Laboratory of Quantum Optics and Quantum Optics Devices Shanxi University Taiyuan 030006 China

Second-order sideband generation (SSG) is investigated in an optomechanical system with atom-cavity-resonator coupling. We focus mainly on the effect of the atomic ensemble trapped in the cavity on the SSG. The numerical results show that the second-order sideband is induced not only for the blue probe-pump detuning resonant case but also for the red one while coupling the atoms with the cavity. Moreover, it is found that the efficiency of the SSG can be significantly enhanced while increasing the atom-cavity coupling strength. More interestingly, the SSG is also sensitive to the atom-pump detuning. It is demonstrated that when optimizing this detuning and the atom-cavity coupling strength together, a robust second-order sideband can be induced and the efficiency of the SSG even surpasses the one of the first-order sideband generation. In addition, the efficiency of the SSG can also be tuned effectively by the decay rate of the atom.

关键词： Atoms, ions, & molecules in cavities Optomechanics Second order nonlinear optical processes Perturbative methods Rotating wave approximation

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GPDP: Game-Enhanced Personalized Differentially Private Smart Community

GPDP: Game-Enhanced Personalized Differentially Private Smar...

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IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom) Green Computing and Communications (GreenCom)

作者： Yuping Zhang Youyang Qu Longxiang Gao Bruce Gu Lei Cui Xuemeng Zhai School of Network & Communication Chendu Technological University Chendu Sichuan China School of Information Technology Deakin University Geelong VIC Australia College of Engineering and Science Victoria University Footscary VIC Australia Key Laboratory of Advanced Control and Intelligent Information System Taiyuan University of Science and Technology Taiyuan Shanxi China College of Engineering and Science University of Electronic Science and Technology of China Chengdu Sichuan China

ISBN: (纸本)9781665417631

Smart community, as a key component of Internet of Things (IoT), is experiencing fast booming, which significantly enhances residents' quality of life. Using fog computing to establish a smart community is an effective way to further develop smart and sustainable cities due to the reduction of bandwidth consumption and latency. However, privacy issues are emerging because the continuous attacks are putting sensitive information under great threats. Motivated by this, we propose a differentially private smart community model with personalized privacy protection. Differential privacy is deployed in a personalized way while a logarithmic function is leveraged to map data sensitivity to privacy protection level. Extensive evaluation results show the advantages of the proposed model from the perspective of the optimized trade-off between personalized privacy protection and data utility.

关键词： Differential privacy Privacy Sensitivity Smart cities Computational modeling Bandwidth Data models

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Visual Servoing of Magnetic Swimming Robot Based on Mean Shift and Fast Template Matching Algorithm

Visual Servoing of Magnetic Swimming Robot Based on Mean Shi...

引用

IEEE International Conference on Robotics and Biomimetics

作者： Hongbiao Xiang Tilei Zhang Mengwei Li Shoujun Wang Xiuping Yang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin China

The actuation and control of mini-scale swimming robots have exhibit promising potential in limited and constrained environments, such as biomedical, micro-assembly and microfluidic applications. However, closed-loop control is still a challenging for the precision and repeatability in those applications. In this paper, a new type of soft-micro swimming robot based on magnetoelastic composite material is designed, and the swimmer can move freely on the water surface controlled by a rotating magnetic field with visual servoing. The visual feedback control strategy is proposed based on Mean Shift Algorithm and Fast Template Matching. The algorithm includes three parts: prediction, template matching, target positioning and template updating. To understand the characteristics of the swimmer, the relationship between swimming speed and magnetic field strength and frequency is verified by the algorithm in experiments. Furthermore, the proposed path following method with visual servoing applied in this control system. The experimental results show that the algorithm runs fast, has high accuracy and good real-time performance, and can provide great potential in mini-scale robot applications.

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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...

引用

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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