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Annual IEEE Symposium on Computer-Based Medical systems

作者： Dan Li Xuechen Li Zhibin Peng Wenting Chen Linlin Shen Guangyao Wu Computer Vision Institute School of Computer Science & Software Engineering Shenzhen University National Engineering Laboratory for Big Data System Computing Technology ShenZhen University Shenzhen China City University of Hong Kong Hong Kong SAR China Shenzhen Institute of Artificial Intelligence & Robotics for Society Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University General Hospital

In gastroenteroscopy image analysis, numerous CADs demonstrate that deep learning aids doctors' diagnosis. The shapes and sizes of the lesions are varied. And in the clinic, the dataset appears to be data imbalanced. However, existing methods directly classify by texture and ignore lesions with various shapes and sizes. To address the issue above, we propose a deep neural network, which consists of multi-scale feature extraction, contrastive feature learning and a multi-scale feature fusion module. We train the contrastive feature learning module and multi-scale feature fusion module simultaneously to alleviate the issue of data distribution differences. Thus, the proposed network can better identify various categories. Extensive experiments on the Hyper Kvasir dataset show that the proposed Hybrid-M2CL outperforms the benchmark proposed by the dataset with 5.0% Macro Precision, 3.3% Macro Recall, 3.4% Macro F1-score, 3.3% Micro Precision, 3.6% MCC. In addition, it outperforms the SOTA by 1.1% Macro F1-score, 2.6% MCC, and 2.0% B-ACC.

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Dynamic modelling and PFL-based trajectory tracking control for underactuated cable-driven truss-like manipulator

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Journal of Central South University 2021年第10期28卷 3127-3146页

作者： DING Shu-chen PENG Li QIAO Shang-ling LIU Rong-qiang JOSEPHAT Bundi School of IoT Engineering Jiangnan UniversityWuxi 214122China State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China Center for Control Theory and Guidance Technology Harbin Institute of TechnologyHarbin 150001China

In recent years,an innovative underactuated robot was developed,named as underactuated cable-driven trusslike manipulator(UCTM),to be suitable in aerospace ***,there has been strong consensus that the stabilization of planar underactuated manipulators without gravity is a great challenge since the system includes a second order nonholonomic constraint and most classical control methods are not suitable for this kind of ***,the complexity of the truss-like structure results in tremendous difficulty of computational complicacy and high nonlinearity during dynamic modelling in addition to controller *** is paramount to solve these difficulties for UCTM's future *** solve the above difficulties,this paper presents a dynamic modelling method for UCTM and a trajectory tracking control method based on partial feedback linearization(PFL)that fulfills the control goal of moving UCTM from its original position to a desired position by tracking a given trajectory of the joint *** achieve this,a model equivalent method is proposed to make UCTM equivalent with a three-link manipulator in the sense of dynamic *** the Lagrangian equation combined with complex vector method is proposed in the dynamic modelling process of UCTM,which simplifies the derivation *** on the established dynamic model,a coordinate transformation method is proposed to transform the control force matrix into the conventional form of an underactuated system,so that the control force can be separated from the unactuated *** PFL method in combination with the LQR control method is then proposed to realize the targets that the joint angles can track given desired *** experiments are conducted to verify the correctness and effectiveness of the proposed methods.

关键词： underactuated robot trajectory tracking control partial feedback linearization non-linear control

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基于自解耦三明治结构的横向运动栅场效应晶体管MEMS微力传感器

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engineering 2023年第2期21卷 61-74,M0004页

作者：高文迪乔智霞韩香广王小章 Adnan Shakoor 刘存朗卢德江杨萍赵立波王永录王久洪蒋庄德孙东 State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement TechnologiesOverseas Expertise Introduction Center for Micro/Nano Manufacturing and Nano Measurement Technologies Discipline InnovationXi’an Jiaotong University(Yantai)Research Institute for Intelligent Sensing Technology and SystemSchool of Mechanical EngineeringXi’an Jiaotong UniversityXi’an 710049China Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai 265503China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Robotics and Systems Harbin Institute of TechnologyHarbin 150006China Eleventh Research Institute Sixth Academy of China Aerospace Science and Technology Co.Xi’an 710100China Department of Control and Instrumentation Engineering King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia Department of Biomedical Engineering City University of Hong KongHong Kong 999077China

本文介绍了一种基于横向可移动栅极场效应晶体管(LMGFET)的新型微型力传感器的开发。提出了一种精确的电气模型,用于小型LMGFET器件的性能评估,与以前的模型相比,其精度有所提高。采用了一种新型三明治结构,该结构由一个金交叉解耦栅阵... 详细信息

本文介绍了一种基于横向可移动栅极场效应晶体管(LMGFET)的新型微型力传感器的开发。提出了一种精确的电气模型,用于小型LMGFET器件的性能评估,与以前的模型相比,其精度有所提高。采用了一种新型三明治结构,该结构由一个金交叉解耦栅阵列层和两个软光阻层SU-8组成。通过所提出的双差分传感结构,LMGFET横向工作在垂直干扰下的输出电流被大大消除,所提出传感器的相对输出误差从4.53%(传统差分结构)降低到0.01%。提出了一种实用的传感器制造工艺,并对其进行了模拟。基于LMGFET的力传感器的灵敏度为4.65μA·nN^(-1),可与垂直可移动栅极场效应晶体管(VMGFET)器件相媲美,但非线性度提高了0.78%,测量范围扩大了±5.10μN。这些分析为LMGFET器件的电气和结构参数提供了全面的设计优化,并证明了所提出的传感器在生物医学显微操作应用中具有良好的力传感潜力。

关键词：力传感器场效应晶体管横向运动三明治结构电气模型显微操作非线性度双差分

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Motor speed estimation and failure detection of a small UAV using density of maxima

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Frontiers of Information Technology & Electronic engineering 2021年第7期22卷 1002-1009页

作者： Jefferson S.SOUZA Moises C.BEZERRIL Mateus A.SILVA Frank C.VERAS Abel LIMA-FILHO Jorge Gabriel RAMOS Alisson V.BRITO Laboratory of System Engineering and Robotics Federal University of ParaibaJoao PessoaBrazil Department of Information Systems Federal University of PiauiPicosBrazil Department of Mechanical Engineering Federal University of ParaibaJoao PessoaBrazil Department of Physics Federal University of ParaibaJoao PessoaBrazil

This work presents the application of the technique named signal analysis based on chaos using density of maxima to analyze brushless direct current *** uses a correlation coefficient estimated from the density of maxima of the current *** study demonstrates in experiments the speed estimation of a brushless motor on a testbench and failure detection in a small flying *** experimental results demonstrate that it is possible to estimate the speed in 97.8%of the cases and to detect failure in 82.75%of the analyzed cases.

关键词： Unmanned aerial vehicle(UAV) Speed identification Failure detection Chaos

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A Novel Variable Stiffness Actuator Based on a Rocker-Linked Epicyclic Gear Train

SSRN

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SSRN 2022年

作者： Li, Zhisen Xu, Peng Huang, Hailin Ning, Yinghao Li, Bing State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen518055 China Zhengzhou Electromechanical Engineering Research Institute Zhengzhou450015 China

This paper presents a novel variable stiffness actuator based on a rocker-linked epicyclic gear train (REGT-VSA). The stiffness adjustment principle of the actuator is to change the lever ratio of force by converting the differential motion of the planetary gear train into the linear motion of the elastic element. The unique design of the rocker-linked epicyclic gear train ensures the compactness of structure and the accuracy of transmission. The simultaneous relocations of the pivot and torsion spring permit a wide-range stiffness adjustment. By introducing a linear guide and a cam follower, the internal friction is reduced, and the energy efficiency is improved. A prototype and its trajectory tracking controller are developed to evaluate the performance of REGT-VSA. An exponential function is used to train the neuron proportion coefficient of the conventional single-neuron adaptive PID (proportional-integral-derivative) controller to compensate for the hysteresis of elastic elements, thus creating the dynamic single-neuron adaptive PID controller. The stiffness identification and trajectory tracking experiments under different conditions prove the feasibility of the actuator and the proposed algorithm. © 2022, The Authors. All rights reserved.

关键词： Proportional control systems

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Rehabilitation Training of Spinal Cord Injured Individuals by a Self-Balancing Exoskeleton Robot

Rehabilitation Training of Spinal Cord Injured Individuals b...

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IEEE International Conference on Real-time Computing and robotics (RCAR)

作者： Wentao Li Jinke Li Yong He Dingkui Tian Feng Li Jianquan Sun Xinyu Wu Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China SIAT CUHK Joint Laboratory of Robotics and Intelligent Systems Shenzhen College of Advanced Technology University of Chinese Academy of Sciences Shenzhen China China Construction Third Bureau First Engineering MEP Co. Ltd. Shenzhen China

Physical therapy plays an important role in the rehabilitation for spinal cord injured individuals, and exoskeleton can assist with this process. In this paper, a self-balancing exoskeleton robot is introduced, which can provide assist not only in gait training, but also in balance training. In addition, it allows individuals walk with it without other assistive devices. This exoskeleton is designed to have a high degree of compatibility with humans. The structure and control system of the exoskeleton is introduced and the forward and inverse kinematic are solved, which enables the robot to perform various rehabilitation training actions as required. Experiments with a male subject have shown that this exoskeleton achieves the predicted results in gait training and balance training.

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A smart wearable device for capturing biomechanical energy from human knee motion

A smart wearable device for capturing biomechanical energy f...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Hugo Hung-Tin Chan Haisu Liao Xuan Zhao Junrui Liang Wei-Hsin Liao Xinyu Wu Fei Gao Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen China Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Shatin Hong Kong China School of Information Science and Technology ShanghaiTech University Shanghai China

ISBN: (数字)9798350355369

ISBN: (纸本)9798350355376

Sustainable power supply is a challenge for portable and wearable electronic devices such as cell phones and headsets. To address this, researchers proposed capturing biomechanical energy from human motion to generate electricity. This paper proposed and developed a lightweight wearable device to capture the biomechanical energy from the human knee motion. To reduce the effect of inertial force on human gait, we developed a lightweight and compact transmission chain to convert the bidirectional rotation of the knee to a unidirectional rotation of the generator. Two input bevel gears with opposite one-way bearings on the same shaft are engaged with a single output bevel gear of the generator thereby only one input bevel gear is engaged for each input direction, achieving unidirectional output. In addition, to reduce velocity fluctuation and further minimize the effect of inertial force, a flywheel was fixed to the motor shaft via a gearbox. A prototype of the wearable device was developed and tested on a subject walking on a treadmill. Experimental results shows the flywheel enabled the harvester to achieve a continuous output while halving voltage fluctuations compared to a conventional harvester. The harvesters average power output can reach 0.11 W with minimal effects on the subject’s walking gait.

关键词： Knee Legged locomotion Biomechanics Shafts Fluctuations Voltage fluctuations Torque

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Study on the Shock Resistance of Double-Layer Vibration Isolation system for Ship Power Equipment

Study on the Shock Resistance of Double-Layer Vibration Isol...

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China Instrument and Control Society (ACCIS), Academic Conference of

作者： Zhongyi Cheng Junning Cui Xinbin Zhang Yizhong Zhuang Bo Kang Yamin Zhao Center of Ultra-precision Optoelectronic Instrument Engineering Harbin Institute of Technology Harbin China Key Lab of Ultra-precision Intelligent Instrumentation Harbin Institute of Technology (Harbin Institute of Technology) Ministry of Industry and Information Technology Harbin China Laboratory for Space Environment and Physical Sciences Harbin Institute of Technology Harbin China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

ISBN: (数字)9798350350326

ISBN: (纸本)9798350350333

Given the problem that the influences of different vibration isolation parameters on the dynamic characteristics of isolated equipment in the double-layer vibration isolation system of ship power equipment is still unclear, a double-layer vibration isolation model for ship power equipment is established to study the time-domain response characteristics of the isolated equipment under the action of a half-sine wave shock. The dimensionless differential equations of system motion are derived using dimensional analysis, and the numerical simulation based on the fourth-order Runge-Kutta method is used to analyze the influences of vibration isolation parameters on shock resistance performance of the system, which provides a theoretical basis for the shock resistance design of the double-layer vibration isolation system of ship power equipment and is of significant instruction to the practice.

关键词： Vibrations Resistance Damping Isolators Electric shock Numerical simulation Shock absorbers Numerical models Marine vehicles Time-domain analysis

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Damage evolution mechanism and low-damage grinding technology of silicon carbide ceramics

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International Journal of Extreme Manufacturing 2025年第2期 555-591页

作者： Chen Li Kechong Wang Oleg Zakharov Hailong Cui Mingtao Wu Tianchen Zhao Yongda Yan Yanquan Geng State Key Laboratory of Robotics and System (HIT) Harbin Institute of Technology School of Mechatronics Engineering Harbin Institute of Technology Hunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult-to-cut Material Hunan University of Science and Technology Moscow State University of Technology Sichuan Precision and Ultra-Precision Machining Engineering Technology Center College of Mechanical Engineering Quzhou University

Silicon carbide(SiC) ceramics are extensively utilized in aerospace, national defense, and petrochemical industries due to their superior physical and chemical properties. The processing of bulk SiC ceramics necessitates precise and efficient grinding techniques to produce components with satisfactory functionality. However, the inherent high hardness and brittleness of SiC ceramics present significant challenges during grinding, leading to severe brittle fracture and tool wear that compromise both surface integrity and production efficiency. Although ductile-regime grinding of SiC ceramics can be achieved by enhancing machine tool accuracy and stiffness while optimizing wheel performance alongside appropriate selection of process parameters, a comprehensive summary of the mechanisms underlying damage evolution during grinding is lacking, and a mature grinding process for SiC ceramics has yet to be developed. To bridge this gap, the sintering technologies, mechanical properties, and microstructures of SiC ceramics were briefly covered. The grinding-induced damage mechanism and low-damage grinding technologies of SiC ceramics were summarized. The fundamental science underlying the ductile deformation and removal mechanisms of brittle solids was emphasized. Additionally,attention was directed towards the critical role of hybrid energy field grinding in minimizing brittle damages and promoting removal efficiency. This review not only elucidates the intrinsic interactions between the work material and abrasives, but also offers valuable insights for optimizing the grinding processes of brittle solids.

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High-density Baropodometry Platform Based on Vision Based Tactile Sensing

High-density Baropodometry Platform Based on Vision Based Ta...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Yueshi Dong Jieji Ren Ningbin Zhang Weijing Zhao Jian Zhou Guoying Gu School of Mechanical Engineering The State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai China Robotics Institute School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai China Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University University School of Medicine Shanghai China Department of Endocrinology and Metabolism Sixth People’s Hospital Shanghai Jiao Tong University School of Medicine Shanghai China

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

Plantar pressure distribution measurement is significant for healthy monitoring and disease diagnosis. However, existing equipment lack of high-density resolution and may lead under-diagnosed of small abnormal regions. To address problem, we propose a special high resolution and low cost Baropodometry based on vision based tactile sensing (VBTS). Specially, we design a measurement platform with larger-scale sensing range (280 mm x 150 mm) and high-density resolution (440 ppi). To achieve the homogeneous illumination for the measure area, we also propose normally distributed light sources around the platform, and delicately adjust the incident angle to optimize the reconstruction performance. Besides, we design a example-based method to calibrate the platform and build a look-up table to reconstruct the plantar geometry from observed image. Experiments show the high lateral resolution that can discriminate the details (<2 mm), and the depth measurement accuracy is 68.5%. The experiments of reconstruction of plantar pressure depth map and identification of tumours show its’ advantage for providing adaptive high-resolution plantar topography and pressure measurement.

关键词： Performance evaluation Sensors Pressure measurement Surface topography Table lookup Object recognition Surface cracks Monitoring Image reconstruction Tumors

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