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Measurement of surface stress-strain distribution inside a grain of carbon steel via optical microscope

Measurement 2025年 255卷

作者： I Dewa Made Oka Dharmawan Jinyi Lee Department of Control Instrumentation and Robot Engineering Graduate School of Chosun University Gwangju 61452 Republic of Korea Interdisciplinary Program in IT-BIO Convergence System Chosun University Gwangju 61452 Republic of Korea Department of Electronic Engineering Chosun University Gwangju 61452 Republic of Korea

The advancement of alloys and steel in engineering highlights the critical need for robust methods to ensure structural integrity. While traditional Non-Destructive Testing and Evaluation (NDT/E) techniques provide valuable insights, they often fail to detect pre-existing stress conditions that contribute to fatigue cracks. Recent approaches have addressed this limitation by analyzing stress and strain at the grain level using advanced measurement systems—often based on diffraction techniques—integrated with Finite Element Method (FEM) and Digital Image Correlation (DIC) platforms. However, the application of these techniques for in-service inspections remains limited by challenges in accessibility, cost, and scalability. To overcome these issues, an integrated 2D surface system combining optical microscopy with DIC and grain-level analysis within the FEM framework is proposed. This method enables efficient visualization of grain-level deformation and stress distribution, thereby providing deeper insights into the microstructural behavior of polycrystalline materials under external loads. The proposed methodology is theoretically outlined and validated through simulations and experimental analyses, demonstrating its potential as a practical solution for in-service inspections. Ultimately, this approach is expected to advance inspection techniques by offering an accessible and scalable tool for monitoring microstructural behavior and identifying potential failure mechanisms through surface analysis.

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Automatic basketball detection in sport video based on R-FCN and soft-NMS 2019

Automatic basketball detection in sport video based on R-FCN...

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4th International Conference on Automation, control and robotics engineering, CACRE 2019

作者： Liang, Qiaokang Mei, Li Wu, Wanneng Sun, Wei Wang, Yaonan Zhang, Dan Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing National Engineering Laboratory for Robot Vision Perception and Control Hunan University Changsha410082 China Department of Mechanical Engineering York University TorontoM3J 1P3 Canada

ISBN: (纸本)9781450371865

In basketball videos, the ball is always so small in the camera that its appearance feature is hard to be extracted. In this paper, we introduce a deep-learning technology to detect the basketball. Specifically, we train our basketball detection model based on the Region-based Fully Convolutional Networks (R-FCN) which uses the fully convolutional Residual Network (ResNet) as the backbone network. What’s more, we apply some new techniques including Online Hard Example Mining (OHEM), Soft-NMS and multi-scale training strategy to achieve higher detection accuracy. In detail, the OHEM method can reduce the cost of fine-tuning during training by calculating the loss of the RoIs. Soft-NMS can reduce the false positive rate by decreasing the object detection score between the overlap object. And the multi-scale training can improve the detection performance by receiving the good feature from the object with different scale. Finally, we achieve a mean average precision (mAP) value of 89.7% on a public basketball dataset. It proves that applying the deep-learning approach to basketball detection is effective. © 2019 Copyright is held by the owner/author(s).

关键词： Object recognition

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Adaptive finite-time synchronized control of multi-robotic fiber placement system with model uncertainties and disturbances

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ISA transactions 2025年

作者： Ronghua Zhang Yaonan Wang Wenfang Xie Pengcheng Li Haoran Tan Yiming Jiang College of Electrical and Information Engineering Hunan University Changsha 410082 Hunan China National Engineering Laboratory of Robot Visual Perception and Control Technology Hunan University Changsha 410082 Hunan China. Department of Mechanical Industrial and Aerospace Concordia University Montreal H3G2W1 Quebec Canada. College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 Jiangsu China. National Engineering Laboratory of Robot Visual Perception and Control Technology Hunan University Changsha 410082 Hunan China. Electronic address: tanhaoran@***. School of Robotics Hunan University Changsha 410082 Hunan China

The use of multiple robots to manufacture composite components represents a critical development direction for fiber placement systems (FPSs). In multi-robotic fiber placement systems (MRFPSs) with heterogeneous mechanical structures, robots collaborate to perform fiber placement tasks. Consequently, robot synchronization emerges as a primary factor in determining the performance of the fiber placement process. However, the difficulty in establishing accurate system models and the presence of disturbances are two significant challenges to achieving precise robot synchronization. Additionally, the system is expected to exhibit desirable dynamic characteristics, such as finite-time error convergence. To address these issues and requirements, we propose a novel adaptive finite-time synchronization control (AFSC) algorithm for the system. Specifically, a finite-time sliding mode observer is developed to handle kinematic uncertainty. A novel fast non-singular terminal sliding mode (FNTSM) manifold is constructed in the AFSC algorithm. Moreover, the control algorithm integrates an adaptive law to handle dynamic uncertainty and an adaptive term to counteract disturbances. Performance analysis demonstrates that the AFSC ensures that the coupled, synchronization, and tracking errors converge to zero within finite time. Furthermore, simulations and experiments are conducted to validate the effectiveness of the AFSC algorithm.

关键词： Disturbances Fiber placement Finite-time control Model uncertainties Multi-robots Synchronization control

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MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images

arXiv

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arXiv 2022年

作者： Li, Lei Wu, Fuping Wang, Sihan Luo, Xinzhe Martín-Isla, Carlos Zhai, Shuwei Zhang, Jianpeng Liu, Yanfei Zhang, Zhen Ankenbrand, Markus J. Jiang, Haochuan Zhang, Xiaoran Wang, Linhong Arega, Tewodros Weldebirhan Altunok, Elif Zhao, Zhou Li, Feiyan Ma, Jun Yang, Xiaoping Puybareau, Elodie Oksuz, Ilkay Bricq, Stephanie Li, Weisheng Punithakumar, Kumaradevan Tsaftaris, Sotirios A. Schreiber, Laura M. Yang, Mingjing Liu, Guocai Xia, Yong Wang, Guotai Escalera, Sergio Zhuang, Xiahai School of Data Science Fudan University Shanghai China School of Biomedical Engineering Shanghai Jiao Tong University Shanghai China Departament de Matemàtiques & Informàtica Universitat de Barcelona Barcelona Spain Computer Vision Center Universitat Autònoma de Barcelona Spain School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China School of Computer Science and Engineering Northwestern Polytechnical University Xi'An China College of Electrical and Information Engineering Hunan University Changsha China National Engineering Laboratory for Robot Visual Perception and Control Technology Changsha China College of Physics and Information Engineering Fuzhou University Fuzhou China Comprehensive Heart Failure Center Wuerzburg University Hospitals Wuerzburg Germany School of Engineering University of Edinburgh Edinburgh United Kingdom School of Robotics Xi'an Jiaotong-Liverpool University Suzhou China Department of Electrical and Computer Engineering University of California Los Angeles United States Department of Radiology and Diagnostic Imaging University of Alberta Edmonton Canada Chongqing Key Laboratory of Image Cognition Chongqing University of Posts and Telecomm-Unications Chongqing China ImViA Laboratory Université Bourgogne Franche-Comté Dijon France Computer Engineering Department Istanbul Technical University Istanbul Turkey Le Kremlin-Bicêtre France Department of Mathematics Nanjing University of Science and Technology Nanjing China Department of Mathematics Nanjing University Nanjing China

Assessment of myocardial viability is essential in diagnosis and treatment management of patients suffering from myocardial infarction, and classification of pathology on myocardium is the key to this assessment. This work defines a new task of medical image analysis, i.e., to perform myocardial pathology segmentation (MyoPS) combining three-sequence cardiac magnetic resonance (CMR) images, which was first proposed in the MyoPS challenge, in conjunction with MICCAI 2020. The challenge provided 45 paired and pre-aligned CMR images, allowing algorithms to combine the complementary information from the three CMR sequences for pathology segmentation. In this article, we provide details of the challenge, survey the works from fifteen participants and interpret their methods according to five aspects, i.e., preprocessing, data augmentation, learning strategy, model architecture and post-processing. In addition, we analyze the results with respect to different factors, in order to examine the key obstacles and explore potential of solutions, as well as to provide a benchmark for future research. We conclude that while promising results have been reported, the research is still in the early stage, and more in-depth exploration is needed before a successful application to the clinics. Note that MyoPS data and evaluation tool continue to be publicly available upon registration via its homepage (***/zhuangxiahai/0/myops20/). © 2022, CC BY-NC-SA.

关键词： Magnetic resonance imaging

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System Design and Experiment of a Laryngeal Surgical robotic System 15

System Design and Experiment of a Laryngeal Surgical Robotic...

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15th International Conference on Ubiquitous robots, UR 2018

作者： Kim, Sang-Hwa Seo, Jong-Tae Woo, Jae Hong Yoon, Hyun-Soo Tae, Kyung Yi, Byung-Ju Division of Electrical Engineering Hanyang University Ansan Korea Republic of Department of Intelligent Robot Engineering Hanyang University Ansan Korea Republic of Department of Electronic Electrical Control and Instrumentation Engineering Hanyang University Ansan Korea Republic of Department of Otolaryngology-Head Hanyang University Neck Surgery College of Medicine Seoul Korea Republic of

ISBN: (纸本)9781538663349

A laryngeal surgical robotic system equipped with high quality 3-dimensional images and robot arms is developed to help the surgeon treat general diseases located at head and neck area. This paper is to describe a system configuration and demonstrate effectiveness of the laryngeal surgical robotic system. A mechanical construction of this system is based on a novel stackable parallel mechanism architecture. The EtherCAT communication protocol is used for real-time control. In order to confirm the effectiveness of the laryngeal surgical robotic system, experiments using phantom and cadaver were performed. © 2018 IEEE.

关键词： Real time control

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fuzzy filter for non-linear sampled-data systems under imperfect premise matching

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IET control Theory & Applications 2017年第5期11卷 747-755页

作者： Ho Jun Kim Jin Bae Park Young Hoon Joo Department of Electrical and Electronic Engineering Yonsei University Seoul 120-749 Republic of Korea Department of Control and Robot Engineering Kunsan National University Kunsan Chonbuk 573-701 Republic of Korea

This study proposes an fuzzy filtering technique for non-linear sampled-data systems that are represented on the basis of the Takagi–Sugeno fuzzy model. To improve the performance of the fuzzy filter, an imperfect premise matching condition is considered. An error system between the non-linear system and the fuzzy filter is constructed. In addition, sufficient conditions for showing asymptotic stability and guaranteeing disturbance attenuation performance are proposed in a Lyapunov sense and derived in terms of linear matrix inequalities. Finally, the feasibility of the proposed technique is demonstrated using two simulation examples.

关键词： H∞ filters pattern matching fuzzy set theory linear matrix inequalities H∞ fuzzy filter nonlinear sampled data systems imperfect premise matching Takagi-Sugeno fuzzy model error system asymptotic stability Lyapunov sense linear matrix inequalities

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Robust H∞ disturbance attenuation control of continuous-time polynomial fuzzy systems

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Journal of Institute of control, robotics and Systems 2016年第6期22卷 429-434页

作者： Jang, Yong Hoon Kim, Han Sol Joo, Young Hoon Park, Jin Bae Department of Electrical and Electronic Engineering Yonsei University Korea Republic of Department of Control and Robot Engineering Kunsan National University Korea Republic of

This paper introduces a stabilization condition for polynomial fuzzy systems that guarantees H∞ performance under the imperfect premise matching. An H∞ control of polynomial fuzzy systems attenuates the effect of external disturbance. Under the imperfect premise matching, a polynomial fuzzy model and controller do not share the same membership functions. Therefore, a polynomial fuzzy controller has an enhanced design flexibility and inherent robustness to handle parameter uncertainties. In this paper, the stabilization conditions are derived from the polynomial Lyapunov function and numerically solved by the sum-of-squares (SOS) method. A simulation example and comparison of the performance are provided to verify the stability analysis results and demonstrate the effectiveness of the proposed stabilization conditions. © ICROS 2016.

关键词： Stabilization

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Research on and education for navigation control of an exploration rover with microwave Doppler sensors (fabrication of the signal processing electrical circuit)

Research on and education for navigation control of an explo...

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International Symposium on Micromechatronics and Human Science (MHS)

作者： Masahiro Isogai Yuya Takada Department of Electronic Control and Robot Engineering Aichi University of Technology Gamagori Aichi Japan

ISBN: (纸本)9781509027866

Microwave Doppler sensors commonly used in automatic-door systems have been used in a rover navigation system. A collimated microwave beam with an angular width of ±3° at a frequency of 24 GHz was emitted from a sensor (A) on a dish antenna 30 cm in diameter. Another sensor (B), which works as a detector, was installed on the rover. The rover was programmed to make a right turn when the microwave signal was above a specified level and to make a left turn when the signal was below that level. In this study, we fabricated a signal processing electrical circuit for the fourth prototype rover. To confirm the performance of the fabricated electrical circuit, we carried out some experiments on the frequency response of the electrical circuit. Finally, we had a questionnaire for the student who collaborated with this study to investigate how this study had an educational effect on the student.

关键词： Sensors Microwave circuits Microwave filters Band-pass filters Microwave antennas Low-pass filters

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Partial labeled gastric tumor segmentation via patch⇂based reiterative learning

arXiv

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arXiv 2017年

作者： Nan, Yang Coppola, Gianmarc Liang, Qiaokang Zou, Kunglin Sun, Wei Zhang, Dan Wang, Yaonan Yu, Guanzhen College of Electrical and Information Engineering Hunan University Changsha410082 China National Engineering Laboratory for Robot Vision Perception and Control Hunan University Changsha Hunan410082 China Hunan Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing Hunan418000 China Faculty of Engineering and Applied Science University of Ontario Institute of Technology OshawaONL1H 7K4 Canada Department of Mechanical Engineering York University TorontoONM3J 1P3 Canada Department of Oncology Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine Shanghai201203 China

Gastric cancer is the second leading cause of cancer‐related deaths worldwide, and the major hurdle in biomedical image analysis is the determination of the cancer extent. This assignment has high clinical relevance and would generally require vast microscopic assessment by pathologists. Recent advances in deep learning have produced inspiring results on biomedical image segmentation, while its outcome is reliant on comprehensive annotation. This requires plenty of labor costs, for the ground truth must be annotated meticulously by pathologists. In this paper, a reiterative learning framework was presented to train our network on partial annotated biomedical images, and superior performance was achieved without any pre‐trained or further manual annotation. We eliminate the boundary error of patch‐based model through our overlapped region forecast algorithm. Through these advisable methods, a mean intersection over union coefficient (IOU) of 0.883 and mean accuracy of 91.09% on the partial labeled dataset was achieved, which made us win the 2017 China Big Data & Artificial Intelligence Innovation and Entrepreneurship Competitions1. Copyright © 2017, The Authors. All rights reserved.

关键词： Diseases

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Operator-based fault tolerant control for uncertain nonlinear systems

Operator-based fault tolerant control for uncertain nonlinea...

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World Congress on Intelligent control and Automation (WCICA)

作者： Shuhui Bi Lei Wang Ming Zhang Mingcong Deng School of Electrical Engineering University of Jinan China Shandong provincial key laboratory of robot and manufacturing automation technology Shandong Academy of Science Jinan China Inspur Chaoyue Digital Control Electronics Co. Ltd. Jinan China Department of Electrical and Electronic Engineering Tokyo University of Agriculture and Technology Tokyo Japan

ISBN: (纸本)9781467384155

In this paper, operator based fault tolerant control for uncertain nonlinear system with actuator fault is considered by using operator based robust right coprime factorization approach. In detail, on the basis of the operator based control design structure, fault detection system design and fault tolerant control system design are considered for nonlinear system without and with uncertainty, respectively. In both of the proposed control system design, the fault signal can be detected and some sufficient conditions are given, which ensure that the designed system is stable and the output tracking performance can be realized. Finally, the theoretical analysis is applied onto an aluminium plate temperature control process and the effectiveness of the theoretical analysis is demonstrated by the simulation results.

关键词： Uncertainty Fault tolerant control Nonlinear systems Process control Fault tolerant systems Fault detection Actuators

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