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Classification of hand movements of stroke patients using combination of statistical features and artificial neural network

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AIP Conference Proceedings 2023年第1期2564卷

作者： S. K. Narudin Noorhamizah Mohamed Nasir Ariffuddin Joret N. Fuad B. S. K. K. Ibrahim M. S. Huq Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia 86400 Parit Raja Batu Pahat Johor Malaysia Mechatronic and Control Research Group (MCRG) Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia 86400 Parit Raja Batu Pahat Johor Malaysia Automation and Robotic Mechanical Automotive and Manufacturing (MAM) Faculty of Engineering Environment and Computing Coventry University Priory Street Coventry CV1 5FB United Kingdom Robotics Engineering School of Computing and Digital Media London Metropolitan University London United Kingdom

The data used in this study is collected using EEG and the movements are extracted from a stroke subject. In this research, a stroke patient’s brainwave activity with left and right hand movements is used. A statistical feature based system for hand movement classification by using electroencephalogram (EEG) is proposed in this paper. The mean, variance, and standard deviation of the beta band of the stroke patients are used as the input of the classification of hand movement. This work aims to recognize and classify hand movement activities using statistical features. The classification algorithm used in this work is the Artificial Neural Network (ANN). The accuracy value will be obtained from the subject using 10 hidden nodes. Based on the results, the combination of mean with standard deviation and variance with standard deviation yield the highest accuracy value of 78% while the combination of all feature components resulting only 72% accuracy.

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Corrigendum to “Realistic acceleration of neural networks with fine-grained tensor decomposition” [Neurocomputing 512 (2022) 52–68]

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Neurocomputing 2023年 527卷 47-47页

作者： Rui Lv Dingheng Wang Jiangbin Zheng Yefan Xie Zhao-Xu Yang School of Computer Science Northwestern Polytechnical University Xi’an Shaanxi China Northwest Institute of Mechanical & Electrical Engineering Xianyang Shaanxi China School of Automation Science and Engineering Faculty of Electronic and Information Engineering Xi’an Jiaotong University Xi’an Shaanxi China State Key Laboratory for Strength and Vibration of Mechanical Structures Shaanxi Key Laboratory of Environment and Control for Flight Vehicle and School of Aerospace Engineering Xi’an Jiaotong University Xi’an Shaanxi China

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Environmental quality monitoring with unmanned aircraft vehicle

Environmental quality monitoring with unmanned aircraft vehi...

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Signal Processing Algorithms, Architectures, Arrangements and Applications (SPA)

作者： Agata Dąbrowska Michał Adamski Adam Dąbrowski Tomasz Jankowski Michał Kliczkowski Adam Mickiewicz University Poznań Poland Division of Signal Processing and Electronic Systems ul. Jana Pawł a II 24 Poznań University of Technology Faculty of Control Robotics and Electrical Engineering Institute of Automation and Robotics Poznań Poland

ISBN: (数字)9788362065394

ISBN: (纸本)9781728177465

The paper discusses issues related to the possibility of using unmanned aerial vehicles (UAV) as an alternative to stationary analyses in the assessment of environmental quality, with particular emphasis on air pollutants such as particulate matter (PM), volatile organic compounds (VOCs), formaldehyde and SO 2 . In the course of the study, a simple mobile and automated measuring equipment was developed, with a miniaturized and lightweight design, which made it possible to place it on board of an unmanned aircraft. The applied solutions, including electrochemical sensors, allow to measure concentrations of specific substances or aspiration of samples from selected places for further analyses in a stationary laboratory. Thanks to communication with web server, the results can be collected online. Unlike stationary measurement methods, the mobility of unmanned aerial vehicles allows to obtain a larger number of measurement points from a larger area, which in turn allows to map zones particularly exposed to emissions and to assess the existing hazards on an ongoing basis.

关键词： Pollution measurement Atmospheric measurements Unmanned aerial vehicles Particle measurements Extraterrestrial measurements Urban areas Pollution

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Towards a Smart Manufacturing Maturity Assessment Framework:A Socio-Technical Perspective

Towards a Smart Manufacturing Maturity Assessment Framework:...

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作者： Lei Yue Pengfei Niu Yifang Fang Zhonghua Han Shenyang Institute of Automation Chinese Academy of Sciences Faculty of Information and Control Engineering Shenyang Jianzhu University

Researchers of information technology(IT) have often suggested that there is no clear relevance between the IT investment and return on investment(ROI) of *** phenomenon is called "productivity paradox".However,research on smart manufacturing capability maturity did not reflect empirically the fact that enterprises rarely benefit from information ***,the aim of this article attempts to explore how humans and technologies are related and propose a smart manufacturing maturity assessment framework that can reveal the interaction between humans and *** research addressed two questions,(a) what domains can be identified for smart manufacturing,and(b) how to harmonize all of the technical and social factors affecting maturity and benefits.A complicated concept "socio-technical system" was surveyed for interpreting how enterprises benefit from *** of this study showed a smart manufacturing maturity assessment framework from the socio-technical *** an explanation,the understanding of manufacturing operations management(MOM) capability maturity model(CMM) within the framework in the case study and its results were *** conclude,this study may be regarded as a meta-model or reference model for specific maturity models,as well as has the merit of offering valuable insights into the maturity assessment.

关键词： Towards a Smart Manufacturing Maturity Assessment Framework:A Socio-Technical Perspective Framework

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Effect of tin oxide coating on physical properties of silver nanowire transparent conductive electrodes

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Applied Physics A: Materials Science and Processing 2025年第6期131卷

作者： Nguyen, Thi Hong Nhung Luu, Ba Hoang Anh Pham, Sy Hieu Nguyen, Thi Thu Hien Tran, Quoc Hoan Pham, Anh Tuan Nguyen, Thi Lan Nguyen, Duy Cuong School of Materials Science and Engineering Hanoi University of Science and Technology No. 1 Dai Co Viet Str. Hai Ba Trung Hanoi Viet Nam Institute of Materials Science Vietnam Academy of Science and Technology 18 Hoang Quoc Viet Hanoi Viet Nam Faculty of Power System Electric Power University 235 Hoang Quoc Viet Str Hanoi Viet Nam Faculty of Control and Automation Electric Power University 235 Hoang Quoc Viet Str Hanoi Viet Nam

Thin SnO2 layers were coated on the surface of silver nanowire transparent conductive electrodes (AgNW TCEs) by atmospheric pressure atomic layer deposition. After coating, the AgNWs have been fully covered on their surface with a layer of SnO2, and they are connected to the surface of the substrate. The sheet resistance sharply decreased from 170.86 Ω/ to 20.09 Ω/, while the transmittance reduced from 93.08 to 71.67%. The Joule-heating temperature of the transparent electrode increased from 117 °C to 251 °C. The best AgNW TCE was observed at 100 cycle SnO2 coating with a sheet resistance of 20.09 Ω/, transmittance of 88.91%, and figure of merit of 155.03. The adhesion of silver nanowires to the substrate significantly increased after coating SnO2. Results indicate that the SnO2 coating on the surface of AgNWs by atomic layer deposition is a highly attractive approach for improving the performance of AgNW TCEs. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Silver nanowires

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Bebop 2 Quadrotor as a Platform for Research and Education in Robotics and control engineering

Bebop 2 Quadrotor as a Platform for Research and Education i...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Wojciech Giernacki Piotr Kozierski Jacek Michalski Marek Retinger Rafal Madonski Pascual Campoy Institute of Robotics and Machine Intelligence Faculty of Control Robotics and Electrical Engineering of Poznan University of Technology Poznań Poland Institute of Computing Science (Faculty of Computing and Telecommunications) and with the Institute of Robotics and Machine Intelligence (Faculty of Control Robotics and Electrical Engineering) Poznan University of Technology Poznań Poland International Energy College Energy Electricity Research Center Jinan University Zhuhai China Computer Vision and Aerial Robotics (CVAR) Centre for Automation and Robotics Technical University of Madrid (UPM) Madrid Spain

ISBN: (数字)9781728142784

ISBN: (纸本)9781728142791

In conducting research and teaching in fields related to unmanned aerial vehicles (UAVs), it is particularly important to select a universal, safe, open research platform and tools for rapid prototyping. Ready-to-use, low-cost micro-class UAVs such as Bebop 2 are successfully used in that regard. This article presents how to use the potential of this flying robot with Robot Operating System (ROS). The most important software solutions for the developed experimental testbed FlyBebop are characterized here. Their capabilities in research and education are exemplified using three distinct cases: 1) research results on the method of optimal, in-flight, iterative self-tuning of UAV position controller parameters (based only on current measurements), 2) the use of the reinforcement learning method in the autonomous landing of a single drone on a moving vehicle, 3) planning the movement of UAVs for autonomous video recording along the planned path in the arrangement: "cameraman drone" and "lighting technician drones".

关键词： Drones Robots Education Cameras Sensors Tools

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Improved YOLOv3: Object Classification in Intelligent Transportation System

arXiv

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arXiv 2020年

作者： Zhang, Yang Hu, Changhui Lu, Xiaobo School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of CSE Ministry of Education Southeast University Nanjing210096 China Faculty of Engineering and Information Technology University of Technology Sydney UltimoNSW2007 Australia

The technology of vehicle and driver detection in Intelligent Transportation System(ITS) is a hot topic in recent years. In particular, the driver detection is still a challenging problem which is conductive to supervising traffic order and maintaining public safety. In this paper, an algorithm based on YOLOv3 is proposed to realize the detection and classification of vehicle, driver and people on highway, so as to achieve the purpose of distinguishing driver and passenger and form a one-to-one correspondence between vehicles and drivers. The proposed model and contrast experiment are conducted on our self-build traffic driver’s face database. The effectiveness of our proposed algorithm is validated by extensive experiments and verified under various complex highway conditions. Compared with other advanced vehicle and driver detection technologies, the model has a good performance and is robust to road blocking, different attitudes and extreme lighting. Copyright © 2020, The Authors. All rights reserved.

关键词： Intelligent systems

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Fault detection of the mooring system in floating offshore wind turbines based on the wave-excited linear model

arXiv

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arXiv 2020年

作者： Liu, Yichao Fontanella, Alessandro Wu, Ping Ferrari, Riccardo M.G. van Wingerden, Jan-Willem Delft Center for Systems and Control Delft University of Technology Delft2628 CD Netherlands Mechanical Engineering Department Politecnico di Milano Via La Masa 1 Milano20156 Italy Faculty of Mechanical Engineering & Automation Zhejiang Sci-Tech University Hangzhou310018 China

Floating Offshore Wind Turbines (FOWTs) are more prone to suffer from faults and failures than bottom-fixed counterparts due to the severe wind and wave loads typical of deep water sites. In particular, mooring line faults may lead to unacceptably high operation and maintenance costs due to the limited accessibility of FOWTs. Detecting the mooring line faults is therefore critical, but the application of Fault Detection (FD) techniques has not been investigated yet. In this paper, an FD scheme based on a wave-excited linear model is developed to detect in a reliable way critical mooring line faults occurring at the fairlead and anchor ends. To reach the goal, a linear model of the FOWT is obtained by approximating the wave radiation and incident wave forces. Based on this model, an observer is built to predict the rigid rotor and platform dynamics. The FD scheme is thus implemented by comparing the Mahalanobis Distance of the observer prediction error against a probabilistic detection threshold. Numerical simulations in some selected fault scenarios show that the wave-excited linear model can predict the FOWT dynamics with good accuracy. Based on this, the FD scheme capabilities are demonstrated, showing that it is able to effectively detect two critical mooring line faults. Copyright © 2020, The Authors. All rights reserved.

关键词： Mooring cables

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An improved weight control system for slender cigarette production

An improved weight control system for slender cigarette prod...

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International Conference on Smart City and Intelligent Building, ICSCIB 2018

作者： Han, Zhonghua Yang, Xu Bi, Kaiyuan Dong, Xiaoting Sun, Xixian Faculty of Information and Control Engineering Shenyang Jianzhu University Shenyang China Department of Digital Factory Shenyang Institute of Automation CAS Shenyang China Intelligent Detection and Equipment Department Shenyang Institute of Automation CAS Shenyang China Department of Electric Engineering Sichuan College of Architectural Technology Deyang China Shenyang Jingdaxi Machine and Electrical Equipment Co. Ltd Shenyang China

ISBN: (纸本)9789811367328

In this paper, a weight control system is developed based on Beckhoff PLC for a ZJ19 cigarette machine, which improved the performance of the existing system, and the control system is also introduced. The system uses the microwave to measure cigarette weight, and uses the digital PID control algorithm to achieve weight control. The system hardware structure is simple, the performance of the system is stable and reliable with quick response set aside the upgrade space. The original machine control system was completely replaced with the designed system to meet the requirements of slender cigarette production precision and the production efficiency and product quality were ensured. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Quality control

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Two-DOF Speed control of Permanent Magnet Synchronous Machine with a novel Parameter Identification Method

Two-DOF Speed Control of Permanent Magnet Synchronous Machin...

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Chinese control Conference (CCC)

作者： Mingjin Hu Wei Hua Xudong Wu Chengdong Wu Dazhi Wang Zhentao Liu Xiaofang Yuan Wennong Zhang School of Electrical Engineering Southeast University Nanjing Faculty of Robot Science and Engineering Northeastern University Shenyang College of Information Science and Engineering Northeastern University Shenyang Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074 College of Electrical and Information Engineering Hunan University Changsha Inovance Technology Co Ltd Shenzhen

ISBN: (数字)9789881563903

ISBN: (纸本)9781728165233

In this paper, a two-degree-of-freedom (2-DOF) speed control scheme for permanent magnet synchronous machines is developed. Both the reference-tracking and disturbance rejection performance are taken into account and only a single parameter related to expected bandwidth determines the dynamics. To improve the performance of speed control, a novel identification method for mechanical parameters is also proposed. The effectiveness of the proposed method is verified by simulations.

关键词： Bandwidth Velocity control Torque Simulation Transfer functions Rotors Parameter estimation

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