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A self-powered piezoelectret sensor based on foamed plastic garbage for monitoring human motions

Nano Research 2023年第1期16卷 1269-1276页

作者： Yujun Shi Kaijun Zhang Sen Ding Zhaoyang Li Yuhao Huang Yucong Pi Dazhe Zhao Yaowen Zhang Renkun Wang Binpu Zhou Zhi-Xin Yang Junwen Zhong Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics University of MacaoMacao 999078China Joint Key Laboratory of the Ministry of Education Institute of Applied Physics and Materials EngineeringUniversity of MacaoAvenida da UniversidadeMacao 999078China State Key Laboratory of Internet of Things for Smart City and Department of Electromechanical Engineering University of MacaoMacao 999078China

Constructing piezoelectret based on foamed plastic garbage is an advisable strategy for obtaining self-powered flexible electromechanical sensors with good ***,a self-powered piezoelectret sensor with basic material of low density polyethylene(LDPE)foamed plastic garbage is proposed,with characteristics of easy fabrication,excellent flexibility,and high equivalent piezoelectric coefficient d33 value up to~1,100 pC/*** output stability is verified by continuously stimulating a sensor for~180,000 cycles under low and high applied pressure,and the variations of peak outputs are less than 5.5%.Applications for measuring low-and high-pressure signals from human body are *** with a wristband,a sensor is demonstrated for detecting the human pulse ***,real time human sitting information is wirelessly monitored with a smart chair based on 4 pixels sensors array.

关键词： wearable electronics piezoelectret self-powered pressure sensor mobile health

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Design and Application of Intelligent Patrol Digital Twin System in Smart Power Plant 5

Design and Application of Intelligent Patrol Digital Twin Sy...

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5th International Conference on robotics, Intelligent Control and artificial intelligence, RICAI 2023

作者： Sun, Hui Wang, Zhan Chen, Quanjie Luo, Zhou Yu, Rongdong Shang, Hai Wang, Dan Zheneng Aksu Thermal Power Co. Ltd Aksu China Zhejiang Energy Digital Technology Co. Ltd Department of Artificial Intelligence and Robotics Hangzhou China

ISBN: (纸本)9798350357950

The collection of patrol inspection data in the power plant can be gradually acquired by robots at the physical level. However, the summary processing and comprehensive display of these large amounts of data need to be more in line with the visualization requirements. In this paper, an intelligent patrol digital twin system is designed, which can effectively analyze, optimize and display the inspection process. Under the reality status, through the comprehensive application of various digital twin technologies, the system effectively integrates various process flows of the intelligent power plant inspection process, achieving a multi-dimensional, efficient, and deductive digital twin platform with verification mechanism, demonstrating enormous application value in the digital transformation process of power plants. © 2023 IEEE.

关键词： digital twin system intelligent patrol

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Research on Intelligent Application of Internet+ BIM Technology in Smart Site

Research on Intelligent Application of Internet+ BIM Technol...

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作者： Han, Ting Alturjman, Sinem Fuzhou University of International Studies and Trade Fujian Fuzhou350202 China Artificial Intelligence Engineering Department AI and Robotics Institute Near East University Mersin 10 Turkey

Based on the model of "Internet+ BIM technology", Smart site can improve the construction Productivity and scientific management. This thesis mainly studied the effective method of building smart site in the context of "Internet+ BIM technology". It introduced the current situation of smart site, and the relationship between Internet, BIM technology and smart construction site. In view of the existing problems, the intelligent management mode based on Internet+ BIM technology was put forward. Applying BIM technology the concrete application of intelligent site management system was *** provided a new idea for the realization of construction project management. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Architectural design

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Exploring the Usability of Quantum Machine Learning for EEG Signal Classification 1

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13th International Advanced Computing Conference, IACC 2023

作者： Singh, Devansh Kanathey, Yashasvi Waykole, Yoginii Mishra, Rohit Kumar Walambe, Rahee Aqeel, Khan Hassan Kotecha, Ketan Symbiosis Institute of Technology Symbiosis International University Pune India Centre for Development of Advanced Computing Delhi India SIU Pune India Department of Applied Artificial Intelligence and Robotics Aston University Birmingham United Kingdom

ISBN: (数字)9783031567001

ISBN: (纸本)9783031566998

The classification of Electroencephalogram (EEG) signals into distinct frequency bands is a critical task in understanding brain function and diagnosing neurological disorders. The information obtained from frequency-specific classification has multiple applications, such as frequency-based wheelchair control, frequency-based 36-stroke brain operated keyboard for paralysed patients etc. In this work, a method based on machine learning to develop the frequency-based classification of EEG signals is proposed. The performance of Classical Machine Learning (CML) algorithms and Quantum Machine Learning (QML) techniques for the classification of EEG signals across four frequency bands are investigated. The primary objective is to evaluate the performance of QML models against traditional CML models in terms of computational efficiency, time efficiency and accuracy and uncover potential benefits offered by quantum computing for a particular task of classifying EEG signals. The goal is to assess the advantages of using quantum algorithms for classifying EEG signals. This includes improving accuracy and enhancing efficiency. These findings add to the existing knowledge about how quantum machine learning can benefit neuroscience in terms of enhancing methods that rely on EEG data. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Support vector machines

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Design and Analysis of Programmed Face Monitoring System

Design and Analysis of Programmed Face Monitoring System

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Electrical, Electronics, Communication and Computers (ELEXCOM), International Conference on

作者： Ashutosh Kewat Manjhi Amit Singh Rajawat Anshika Srivastava Department of Information Technology Artificial Intelligence and Robotics Centre for Artificial Intelligence (Artificial Intelligence and Data Science) Madhav Institute of Technology & Science Gwalior India

This study proposes a unique method for a programmed face monitoring system that makes use of a Proportional-Integral-Derivative (PID) controller and Mediapipe, a well-known computer vision framework. The system makes use of Mediapipe's real-time face detection technology and a PID controller algorithm to precisely monitor the identified face by dynamically adjusting the pan and tilt angles of a servo motor system. The usefulness of the proposed approach is demonstrated by the graphical representation depicting setting time, steady-state error and the oscillation type. The results were compared between Proportional-Integral-Derivative (PID), Proportional-Derivative (PD) and Proportional (P) controllers. The PID controller showed favorable results among all three of the controllers utilized in the face monitoring system. For PID controller-based faced monitoring system, the setting time of the system designed is obtained as 1 second, the steady-state error is low and the oscillation type observed is critically damped. The usage of this method for programmed face monitoring systems has a potential application in a number of fields, including robotics, human-computer interaction, and surveillance systems.

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Nerve function restoration following targeted muscle reinnervation after varying delayed periods

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Neural Regeneration Research 2023年第12期18卷 2762-2766页

作者： Yuanheng Li Jiangping Huang Yuling Chen Shanshan Zhu Zhen Huang Lin Yang Guanglin Li Key Laboratory of Human-Machine Intelligence-Synergy Systems and Branch of Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong ProvinceChina Department of Rehabilitation Medicine Guangzhou University of Chinese MedicineGuangzhouGuangdong ProvinceChina Department of Rehabilitation Medicine Yibin Hospital of Traditional Chinese MedicineYibinSichuan ProvinceChina

Targeted muscle reinnervation has been proposed for reconstruction of neuromuscular function in ***,it is unknown whether performing delayed targeted muscle reinnervation after nerve injury will affect restoration of *** this rat nerve injury study,the median and musculocutaneous nerves of the forelimb were *** proximal median nerve stump was sutured to the distal musculocutaneous nerve stump immediately and 2 and 4 weeks after surgery to reinnervate the biceps *** targeted muscle reinnervation,intramuscular myoelectric signals from the biceps brachii were *** amplitude gradually increased with *** brachii myoelectric signals and muscle fiber morphology and grooming behavior did not significantly differ among rats subjected to delayed target muscle innervation for different *** muscle reinnervation delayed for 4 weeks can acquire the same nerve function restoration effect as that of immediate reinnervation.

关键词： biceps brachii delayed nerve repair delayed targeted muscle reinnervation functional reconstruction grooming test implanted electrode intramuscular myoelectric signals median nerve motor function nerve transfer

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Hip Hiking Gait Improvement with Electrohydraulic Robotic Knee: Preliminary Results 46

Hip Hiking Gait Improvement with Electrohydraulic Robotic Kn...

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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Zhong, Heran Gao, Siyuan Wang, Qining Peking University College of Engineering Department of Advanced Manufacturing and Robotics Beijing100871 China Peking University College of Engineering The Institute for Artificial Intelligence Department of Advanced Manufacturing and Robotics Beijing100871 China Peking University Third Hospital Beijing100191 China University of Health and Rehabilitation Sciences Qingdao266071 China

ISBN: (纸本)9798350371499

Individuals with Transfemoral Amputation (TFA) usually exhibit hip hiking walking with passive prostheses due to insufficient knee flexion. Powered knee prostheses can provide net-positive energy in the knee joint with improved gait symmetry. However, their effects on improving hip hiking are not well understood. This study investigates residual hip hiking through walking experiments using a robotic transfemoral prosthesis that can provide swing assistance. Different levels of assistive flexion torque were provided during the pre-swing and the mid-swing (no assistance, low assistance, medium assistance, high assistance). The kinematic and electromyographic (EMG) results indicate that with the increasing assistive torque level applied, the residual hip hiking was improved. The results preliminarily demonstrate the positive effect of knee flexion assistance on hip hiking improvement. © 2024 IEEE.

关键词： Knee prostheses

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Study on Structural Behavior of HVOF-Sprayed NiCr/Mo Coating

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Journal of The Institution of Engineers (India): Series D 2024年第3期105卷 1961-1970页

作者： Venkate Gowda, C. Nagaraja, T.K. Yogesha, K.B. Chand, R. Prem Manjunatha, M.C. Sollapur, Shrishali Manjunath, C.J. Pushpa, N. Department of Mechanical Engineering Atria Institute of Technology Karnataka Bengaluru560024 India Department of Mechanical Engineering JSS Academy of Technical Education Karnataka Bengaluru560060 India Department of Robotics and Artificial Intelligence Bangalore Institute of Technology Karnataka Bengaluru India Department of Mechanical Engineering Bangalore Institute of Technology Karnataka Bengaluru India Karnataka Bengaluru560069 India Department of Mathematics Reva University Karnataka Bengaluru India

This study investigates the structural behavior of HVOF-sprayed NiCr/Mo coating. The main objective of the coating is to improve the surface properties such as micro-cutting, cavity, and cracks, to avoid the corrosion, and to determine self-life and wear resistance at room temperature and high temperature also. The coating structures are very sensitive to processing and working conditions, to overcome all these aspects, the surface metal has to undergo microstructure analysis, porosity, microstructure hardness, and X-ray diffraction (XRD), and to improve mechanical properties of metal. HVOF spraying technique was used to deposit the coating on mild steel plate than the coated sample characterized using scanning electron microscope (SEM), X-ray diffraction (XRD), microhardness, microindentation, and wear test. Moreover, we introduce the NiCr/Mo at different percentage levels (5%, 10%, and 15%) to evaluate the mechanical properties, to improve the performance and life span of the fracturing operations in aggressive conditions, which is essential in components replacement and economic savings in various industries such as aerospace, automotive, marine, etc. © The Institution of Engineers (India) 2024.

关键词： Chromium alloys

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Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification

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Visual Computing for Industry,Biomedicine,and Art 2024年第1期7卷 196-208页

作者： Yufei Li Yufei Xin Xinni Li Yinrui Zhang Cheng Liu Zhengwen Cao Shaoyi Du Lin Wang School of Information Science and Technology Northwest UniversityXi’an 710127Shaanxi ProvinceChina Department of Ultrasound the Second Affiliated Hospital of Xi’an Jiaotong UniversityXi’anShaanxi Province 710004China National Key Laboratory of Human-Machine Hybrid Augmented Intelligence National Engineering Research Center for Visual Information and Applicationsand Institute of Artificial Intelligence and RoboticsXi’an Jiaotong UniversityXi’anShaanxi Province 710049China

Pneumonia is a serious disease that can be fatal,particularly among children and the *** accuracy of pneumonia diagnosis can be improved by combining artificial-intelligence technology with X-ray *** study proposes X-ODFCANet,which addresses the issues of low accuracy and excessive parameters in existing deep-learningbased pneumonia-classification *** network incorporates a feature coordination attention module and an omni-dimensional dynamic convolution(ODConv)module,leveraging the residual module for feature extraction from X-ray *** feature coordination attention module utilizes two one-dimensional feature encoding processes to aggregate feature information from different spatial ***,the ODConv module extracts and fuses feature information in four dimensions:the spatial dimension of the convolution kernel,input and output channel quantities,and convolution kernel *** experimental results demonstrate that the proposed method can effectively improve the accuracy of pneumonia classification,which is 3.77%higher than that of *** model parameters are 4.45M,which was reduced by approximately 2.5 *** code is available at https://***/limuni/X ODFCA NET.

关键词： Pneumonia Coordinate attention Dynamic convolution ResNet18 X-ODFCANet

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Editorial

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Computational intelligence 2023年第4期39卷 530-531页

作者： Er, Meng Joo Ju, Zhaojie Ferrein, Alexander Changjiang Scholar Distinguished Director of Institute of Artificial Intelligence and Marine Robotics College of Marine Electrical Engineering Dalian Maritime University Dalian China Reader in Machine Learning and Robotics School of Computing University of Portsmouth Portsmouth United Kingdom Department of Electrical Engineering and Information Technology Mobile Autonomous Systems & Cognitive Robotics Institute Robotics and Foundations of Computer Science FH Aachen - University of Applied Sciences Aachen Germany

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