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An ultra thin,bright,and sensitive interactive tactile display based on organic mechanoluminescence for dual-mode handwriting identification

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InfoMat 2024年第6期6卷 76-87页

作者： Tingting Hou Wenlang Li Haoyu Wang Yuantian Zheng Chaojie Chen Haoran Zhang Kai Chen Huilin Xie Xin Li Shaoshuai He Siwei Zhang Dengfeng Peng Cheng Yang Jacky W.Y.Lam Ben Zhong Tang Yunlong Zi Department of Mechanical and Automation Engineering The Chinese University of Hong KongHong Kongthe People's Republic of China Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction and Institute for Advanced StudyThe Hong Kong University of Science and TechnologyHong Kongthe People's Republic of China Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhenthe People's Republic of China Thrust of Sustainable Energy and Environment The Hong Kong University of Science and Technology(Guangzhou)Guangzhouthe People's Republic of China The Hong Kong University of Science and Technology Interdisciplinary Program Office Hong Kong SARthe People's Republic of China Institute of Materials Research Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhenthe People's Republic of China School of Science and Engineering Shenzhen Institute of Aggregate Science and TechnologyThe Chinese University of Hong KongShenzhenthe People's Republic of China HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute Shenzhenthe People's Republic of China Guangzhou HKUST Fok Ying Tung Research Institute Guangzhouthe People's Republic of China

Visible light-based human–machine interactive media is capable of transmitting electrical readouts to machines and providing intuitive feedback to users ***,many inorganic mechanoluminescent(ML)materials-based interactive media,typically ZnS-loaded phosphors(ZLPs),have been successfully ***,organic ML materials-based solutions were rarely exploited despite their huge merits of strong structural modification,abundant luminescence property,low cost,easy preparation,and so ***,we propose a novel interactive tactile display(ITD)based on organic ML materials(Cz-A6-dye)and triboelectric nanogenerator,with ultra-brightness(130%enhancement)and ultra-low threshold pressure(57%reduction)as compared to *** proposed ITD achieves the conversion of weak mechanical stimuli into visible light and electrical signals simultaneously,without extra power ***,the relationship between the luminous performance of organic ML materials and mechanical force is quantified,benefiting from the uniform ML layer *** by convolutional neural networks,the high-accuracy recognition(97.1%)for handwriting and identity of users is realized at the same ***,the ITD has great potential for intelligent wearable electronics and classified military applications.

关键词： interactive media organic mechanoluminescence triboelectric nanogenerators

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Genome-scale metabolic models applied for human health and biopharmaceutical engineering

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Quantitative Biology 2023年第4期11卷 363-375页

作者： Feiran Li Yu Chen Johan Gustafsson Hao Wang YiWang Chong Zhang Xinhui Xing nstitute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhenChina Key Laboratory of Quantitative Synthetic Biology Shenzhen Institute of Synthetic BiologyShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenChina Department of Biology and Biological Engineering Chalmers University of TechnologyGothenburgSweden Key Laboratory for Industrial Biocatalysis Ministry of EducationInstitute of Biochemical EngineeringDepartment of Chemical EngineeringTsinghua University BeijingChina Center for Synthetic and Systems Biology Tsinghua UniversityBejingChina Institute of Biomedical Health Technology and Engineering Shenzhen Bay LaboratoryShenzhenChina

Over the last 15 years,genome-scale metabolic models(GEMs)have been reconstructed for human and model animals,such as mouse and rat,to systematically understand metabolism,simulate multicellular or multi-tissue interplay,understand human diseases,and guide cell factory design for biopharmaceutical protein ***,we describe how metabolic networks can be represented using stoichiometric matrices and well-defined constraints for flux ***,we review the history of GEM development for quantitative understanding of Homo sapiens and other relevant animals,together with their *** describe how model develops from *** to other animals and from generic purpose to precise context-specific *** progress of GEMs for animals greatly expand our systematic understanding of metabolism in human and related *** discuss the difficulties and present perspectives on the GEM development and the quest to integrate more biological processes and omics data for future research and *** truly hope that this review can inspire new models developed for other mammalian organisms and generate new algorithms for integrating big data to conduct more in-depth analysis to further make progress on human health and biopharmaceutical engineering.

关键词： constraint-based modeling disease genome-scale metabolicmodel metabolism

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Development of a Passive Mechanism for Transfemoral Prosthetic Knee to Assist Sitting-Down on/Stand-Up from a Chair

Development of a Passive Mechanism for Transfemoral Prosthet...

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SICE Annual Conference

作者： Shuji Sakoda Mai Murabayashi Takuya Mitani Koh Inoue Graduate School of Science for Creative Emergence Kagawa University Kagawa Japan Graduate School of Engineering Kagawa University Kagawa Japan Are of Mechanical Systems Engineering Kagawa University Takamatsu Japan Department of Life Science and Biotechnology Health and Medical Research Institute National Institute of Advanced Industrial Science and Technology (AIST) Takamatsu Japan

ISBN: (数字)9784907764838

ISBN: (纸本)9798331544461

Sitting down and standing up from a chair are essential daily activities. However, existing prosthetic knees often lack sufficient functionality to perform these motions, particularly when standing up. Consequently, unilateral transfemoral prosthetic users must rely more on their sound limb for these motions, which can potentially lead to injury or joint disease due to the increased load on the joints of the intact side. The present study aimed to develop a prosthetic knee mechanism that assists in sitting down and standing up from a chair. We proposed a new passive mechanism integrated into our previous prosthetic knee design. This mechanism stores mechanical energy in a spring during knee flexion when sitting down, providing flexion resistance. The stored energy is then released by the user's manipulation, assisting in knee extension. In the evaluation experiment, a subject equipped with a simulated thigh socket and the proposed prosthetic knee performed the motions of sitting down and standing up from a chair. The results demonstrated a higher symmetry index of the ground reaction force during these motions with the proposed mechanism compared to the literature, suggesting that the mechanism functioned appropriately. The proposed mechanism can be applied to other prosthetic knees, potentially allowing transfemoral amputees to gain the functionality for standing up without needing to replace their current prosthetic knee.

关键词： Resistance Limbs Sockets Force Thigh Iron Mechanical energy Springs Injuries Prosthetics

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Extended State Observer Based Fault-Tolerant Predictive control for a Four-Mecanum Wheels Mobile Robot 14

Extended State Observer Based Fault-Tolerant Predictive Cont...

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14th IEEE International Conference on Cyber Technology in Automation, control, and Intelligent systems, CYBER 2024

作者： Yang, Binghao Wang, Dongliang Wen, Ziling Wei, Wu Li, Wenji Fan, Zhun Shantou University Key Lab of Digital Signal and Image Processing of Guangdong Province Guangdong 515063 China Shantou University School of Department of Electronic and Information Engineering Guangdong 515063 China Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Guangdong Guangzhou510640 China School of Automation Science and Engineering South China University of Technology Guangdong Guangzhou510641 China

ISBN: (纸本)9798331506056

The application of unmanned vehicles in industrial cargo transportation is becoming increasingly widespread, particularly playing a significant role in transporting heavy-duty goods. However, when performing such tasks, whether in single-vehicle transportation or multi-vehicle collaborative transportation, the occurrence of wheel failures can potentially lead to serious safety accidents. Therefore, this paper proposes a fault-tolerant control scheme, establishing a kinematic model considering disturbances and failures, and adopts model predictive control for trajectory tracking. Additionally, an extended state observer is introduced to observe system states and counteract disturbances. To address potential failure issues, a controller reconstruction strategy is proposed. Finally, the effectiveness and superiority of the controller is validated through numerical simulation and comparative experiment. © 2024 IEEE.

关键词： Mobile robots

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Generic Memory Modeling with Recurrent Neural Network 10

Generic Memory Modeling with Recurrent Neural Network

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10th International Symposium on Next Generation Electronics, ISNE 2022

作者： Rong, Zhao Zhang, Lining Chan, Mansun Hong Kong University of Science and Technology Ai Chip Center for Emerging Smart Systems InnoHK Centers Hksp Department of Ece Hong Kong Hong Kong Peking University Shenzhen Graduate School School of Electronic and Computer Engineering Shenzhen China

ISBN: (纸本)9781665455251

In this work, a methodology for developing a memory compact model is described using recurrent neural network (RNN). Compared to traditional modeling approaches, it is flexible and able to develop an accurate model based on physical data before the material physics is fully understood. A simple ReRAM-type memory model is demonstrated using Nonlinear Autoregressive with External Input (NARX) machine learning approach. To enable the neural network to capture the resistive switching characteristics of ReRAM, the output at a range of cycling voltages was captured and used as training data. The trained model is used for DC prediction under different voltage amplitudes, and the prediction results are consistent with the physical data, with MSE values below 10-9 . The accuracy of the RNN-assisted ReRAM model during the read, write and erase operations is also evaluated to show the validity of the approach. The calibration between the prediction results of the model and experimental data further proves the feasibility of the approach. © 2023 IEEE.

关键词： Recurrent neural networks

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A Centimeter-Scale Inspection Robot for Locomotion in Viscous Fluids

A Centimeter-Scale Inspection Robot for Locomotion in Viscou...

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2024 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2024

作者： Zhang, Jun Liu, Zaiyang Ma, Zhenxuan Tian, Yang Ma, Shugen Wang, Zhongkui Ritsumeikan University Graduate School of Science and Engineering Noji-Higashi 1-1-1 Kusatsu Shiga525-8577 Japan Ritsumeikan University Department of Robotics Noji-Higashi 1-1-1 Kusatsu Shiga525-8577 Japan Robotics & Autonomous Systems Thrust Systems Hub Guangzhou511453 China

ISBN: (纸本)9798350372601

Nature has inspired many designs for micro-robot locomotion, particularly helical propulsion inspired by Escherichia coli and spermatozoa, which has found widespread applications in medical micro-robots for generating thrust at low Reynolds numbers. However, the design and fabrication of small robots for inspection tasks, especially in industrial settings filled with highly viscous liquids, remain challenging. In this paper, we propose a robot capable of locomotion in constrained environments filled with high-viscosity fluids. The robot is propelled by two helical propellers, enabling it to move effectively at low Reynolds numbers. The optimal parameters for the helical propellers are analyzed using Resistive Force Theory (RFT), and structures are designed and experimentally validated accordingly. Finite element analysis is employed to determine the suitable body for the robot. The robot prototype is fabricated using 3D printing. Finally, locomotion experiment was conducted to validate the feasibility of the robot moving in viscous liquid. © 2024 IEEE.

关键词： Reynolds number

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Study on Abrasive Grains Detection based on Deep Learning 10

Study on Abrasive Grains Detection based on Deep Learning

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10th International Conference on Leading Edge Manufacturing Technologies in 21st Century, LEM 2021

作者： Nishimura, Takahiro Ojima, Hirotaka Libo, Zhou Onuki, Teppei Shimizu, Jun Graduate School of Science and Engineering Ibaraki University Japan Department of Mechanical Systems Engineering Ibaraki University Japan

The objective of this study is to detection abrasive grains using deep learning. We have used SSD for the object detection model to detect the abrasive grains, but in this study, we chose EfficientDet, which is an advanced form of SSD. This model consists of three stages. First, a backbone network based on EfficientNet. EfficientNet is a classification model using deep learning. Second, fusion multiple scale each feature maps that named BiFPN Layer. The third is the part that classifies and locates the abrasive grains. In this paper, we changed the aspect ratio of the default box to detect abrasive grains. Finally, we succeeded in determining the most suitable aspect ratio for the detection of abrasive grains. © 2021 The Japan Society of Mechanical Engineers.

关键词： Object detection

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Skeleton-based Action Recognition Using Two-stream Graph Convolutional Network with Pose Refinement 41

Skeleton-based Action Recognition Using Two-stream Graph Con...

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第41届中国控制会议

作者： Biao Zheng Luefeng Chen Min Wu Witold Pedrycz Kaoru Hirota School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Department of Electrical and Computer Engineering University of Alberta Tokyo Institute of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

With the development of science and technology,graph convolutional network has made great progress in improving the accuracy of action ***,there still exists some deficiencies in current ***,the human skeleton point coordinates entering into the network are barely refined,which may cause large ***,the second-order information(the length and direction of bones),which can reflect action characteristics discriminatively,is rarely *** solve the above issues,a two stream graph convolutional network with pose refinement for skeleton based action recognition is ***,we use an adaptive block to to help improve the *** test our method on Kinetics dataset and the experiment show it can get better results than some recent methods,which plays a positive role in future research.

关键词： Graph convolutional network Pose refinement Skeleton based action recognition Adaptive block

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Automatic Gait Classification using Arm Acceleration based on Stature and Gait Speed 4

Automatic Gait Classification using Arm Acceleration based o...

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4th IEEE Global Conference on Life sciences and Technologies, LifeTech 2022

作者： Kitagawa, Kodai Wada, Chikamune Toya, Nobuyuki Kyushu Institute of Technology Graduate School of Life Science and Systems Engineering Kitakyushu Japan Hokkaido Information University Department of Medical Management and Informatics Ebetsu Japan

ISBN: (纸本)9781665419048

Unsuitable foot clearance and step length lead falling accidents;thus, these gait parameters should be monitored for fall prevention. According to previous study, users prefer wrist as a position to wear wearable device for daily gait monitoring. Therefore, we have been developing gait monitoring method using wearable device on a wrist. Our previous method classifies gaits with different foot clearance or step length by machine learning technique using 3-axis acceleration data obtained from wearable device on a wrist. The results of our previous study showed that this method could classify gaits for each step. However, accuracy of our previous method was insufficient because individual difference of arm acceleration due to stature or gait speed were not considered. The objective of this study is to propose the gait classification method based on individual difference. The proposed method classifies three gaits with different foot clearance and step length by machine learning technique using combination of arm acceleration, stature, and gait speed. The proposed method was tested for 1800 steps performed from ten participants. The proposed method could classify three gaits with accuracy greater than 0.9. These results indicate possibility that the proposed method can be used for gait monitoring using wearable device. © 2022 IEEE.

关键词： Acceleration

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Design of Pelton Turbine Test Stand in Plateau Environment 4

Design of Pelton Turbine Test Stand in Plateau Environment

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4th IAHR Asian Working Group Symposium on Hydraulic Machinery and systems

作者： Cai, Jinhan Zhou, Xuejun Luo, Hongying Wang, Zhengwei Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology China College of Mechanical Engineering Tianjin Sino-German University of Applied Science No. 2 Yashen Road Tianjin China College of Hydraulic and Civil Engineering Tibet Agricultural and Animal Husbandry University China Department of Energy and Power Engineering Tsinghua University China

In recent years, with the continuous development of China's hydropower projects, Pelton turbines are gradually being valued, and the focus of development has shifted from plain areas to plateau areas. Environmental impacts such as high altitude, water temperature, and high sediment content in the plateau area have caused serious interference to equipment that originally worked in a stable environment, for example, the failure of the cooperation between the parts of the turbine and the mutual seizure, the increased wear of the nozzle needle, the decrease of the flow rate and the water outlet speed of the nozzle, and the decrease of the air pressure in the plateau environment lead to the change of the flow state of the nozzle. In view of the above problems, this paper puts forward the design scheme of impulse turbine test-bed, using the method of changing specific speed to determine the basic parameters of impulse turbine unit, so as to eliminate the influence of plateau environment on the normal operation of turbine, obtain the efficiency condition of model experiment under low ambient pressure, and improve the operation efficiency and reliability of turbine unit. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Nozzles

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