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arXiv 2024年

作者： Satam, Ihab A. Szabolcsi, Róbert Doctoral School on Safety and Security Sciences Óbuda University Hungary Mechatronics Department Technical College-Alhawija Northern Technical University Iraq Department of Measurement Technology and Automation Institute of Electronic and Communication Systems Kandó Kálmán Faculty of Electrical Engineering Óbuda University Hungary

Brain computer interface (BCI) applications in robotics are becoming more famous and famous. People with disabilities are facing a real-time problem of doing simple activities such as grasping, handshaking etc. in order to aid with this problem, the use of brain signals to control actuators is showing a great importance. The Emotive Insight, a Brain-Computer Interface (BCI) device, is utilized in this project to collect brain signals and transform them into commands for controlling a robotic arm using an Arduino controller. The Emotive Insight captures brain signals, which are subsequently analyzed using Emotive software and connected with Arduino code. The HITI Brain software integrates these devices, allowing for smooth communication between brain activity and the robotic arm. This system demonstrates how brain impulses may be utilized to control external devices directly. The results showed that the system is applicable efficiently to robotic arms and also for prosthetic arms with Multi Degree of Freedom. In addition to that, the system can be used for other actuators such as bikes, mobile robots, wheelchairs *** Codes 93C41 Copyright © 2024, The Authors. All rights reserved.

关键词： Robotic arms

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A Constant Force Tracking Strategy for Complex Surface Robots Fused with NURBS Speed Planning and Teaching/Learning Mode

A Constant Force Tracking Strategy for Complex Surface Robot...

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WRC Symposium on Advanced Robotics and automation (WRC SARA)

作者： Duan Jinjun Cui Kunkun Guo An Wang Lingyu BinYiming Wan Minhong Huang Qiulan School of Mechatronics Nanjing University of Aeronautics and Astronautics China School of Automation Southeast University China College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics China Chinese Academy of Sciences Shenyang Institute of Automation China Zhejiang Lab Hangzhou China Control Theory and Control Egineering Zhejiang University

Compliance control technology is particularly im-portant in contact operations such as grinding and polishing, surface tracking, and medical diagnosis. The core technology achieves contact control of a constant force for complex heterogeneous surfaces. However, due to the unknown environmental stiffness/position and dynamic changes, there are some problems, such as poor position/force tracking accuracy and a low degree of complex surface fit. To solve the above problems, a piecewise trajectory planning algorithm based on speed controllable NURBS and a teaching and learning mode constant force tracking strategy based on position/force coordination planning are proposed in this paper. First, a NURBS segmented trajectory planning algorithm with controllable speed is proposed by combining the NURBS trajectory planning algorithm with the T-type speed interpolation algorithm, and constant force tracking control based on the FCPressNURBS instruction set is realized by combining the adaptive admittance control algorithm. Second, based on the concept of teaching and learning modes, the position/force tracking parameters are obtained by the compliant control method, and the learning ideas is used to optimize the constant force tracking trajectory of the robot. Finally, the algorithm is tested on the ROKAE xMate robot, and the results show that the proposed algorithm improves the constant force tracking accuracy of the robot to the complex contact surface in the heterogeneous environment and can realize the adaptive constant force tracking effect of the robot to the unknown environment.

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Advancements in Microwave Technology for Brain Diagnosis: A Comprehensive Survey on Neurodegenerative Diseases, Tumors, and Stroke Detection

Advancements in Microwave Technology for Brain Diagnosis: A ...

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Telecommunications Conference (ITC-Egypt), International

作者： M. Abdel-Aleim M Ahmed F. Miligy Fatma Taher Mohamed Fathy Abo Sree Assem H. Elfeky Sara Yehia Abdel Fatah Department of Electronics and Communications Engineering Ahram Candian University Arab Academy for Science Technology and Maritime Transport Cairo Egypt Electronics and Communication Dep. Air Defence College Alexandria Egypt College of Technological Innovation Zayed University Dubai UAE Department of Electronics and Communications Engineering Arab Academy for Science Technology and Maritime Transport Cairo Egypt Department of Mechatronics Engineering and Automation Egyptian Chinese University Higher Institute of Engineering and Technology Cairo Egypt

ISBN: (数字)9798350351408

ISBN: (纸本)9798350351415

This paper thoroughly investigates recent advances in microwave technology for diagnosing brain-related ailments, focusing on neurodegenerative diseases, tumors, and strokes. It emphasizes the importance of early and precise diagnosis in managing neurological disorders and highlights microwave technology's potential for non-invasive brain imaging. The survey reviews techniques and technologies in brain tumor and stroke detection, providing insights into key parameters like resolution and specificity. Overall, it offers valuable insights into microwave-based brain diagnosis and suggests future research directions for enhancing diagnostic tools.

关键词： Surveys Neurological diseases Neuroimaging Microwave technology Image resolution Reviews Focusing

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New Trends in the Modeling of Diseases Through Computational Techniques

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Computer Systems Science & engineering 2023年第6期45卷 2935-2951页

作者： Nesreen Althobaiti Ali Raza Arooj Nasir Jan Awrejcewicz Muhammad Rafiq Nauman Ahmed Witold Pawłowski Muhammad Jawaz Emad E.Mahmoud Department of Mathematics and Statistics College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Mathematics Govt.Maulana Zafar Ali Khan Graduate College WazirabadPunjab Higher Education Department(PHED)Lahore54000Pakistan Baqai Medical University Karachi75340Pakistan Shalamar Medical and Dental College Lahore54000Pakistan Department of Automation Biomechanics and MechatronicsLodz University of Technology1/15 Stefanowskiego St.90-924LodzPoland Department of Mathematics Faculty of Sciences and TechnologyUniversity of Central PunjabLahore54000Pakistan Department of Mathematics and Statistics University of LahoreLahore54590Pakistan Institute of Machine Tools and Production Engineering Lodz University of Technology1/15 Stefanowskiego St.90-537LodzPoland

The computational techniques are a set of novel problem-solving methodologies that have attracted wider attention for their excellent *** handling strategies of real-world problems are artificial neural networks(ANN),evolutionary computing(EC),and many *** estimated fifty thousand to ninety thousand new leishmaniasis cases occur annually,with only 25%to 45%reported to the World Health Organization(WHO).It remains one of the top parasitic diseases with outbreak and mortality *** 2020,more than ninety percent of new cases reported to World Health Organization(WHO)occurred in ten countries:Brazil,China,Ethiopia,Eritrea,India,Kenya,Somalia,South Sudan,Sudan,and *** transmission of visceral leishmaniasis is studied dynamically and *** study included positivity,boundedness,equilibria,reproduction number,and local stability of the model in the dynamical *** detailed methods like Runge Kutta and Euler depend on time steps and violate the physical relevance of the *** produce negative and unbounded results,so in disease dynamics,such developments have no biological significance;in other words,these results are *** the implicit nonstandard finite difference method does not depend on time step,positive,bounded,dynamic and *** the computational techniques and their results were compared using computer simulations.

关键词： Real-world problem differential equations computational techniques analysis

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Deep fuzzy inference system fused with probability density function control for wind power forecasting with asymmetric error distribution

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Journal of Cleaner Production 2025年 511卷

作者： Li, Jianfang Jia, Li Zhou, Chengyu Department of Automation College of Mechatronics Engineering and Automation Shanghai University Shanghai200072 China Department of Automation School of Electrical and Electronic Engineering Chongqing University of Technology Chongqing400054 China

Reliable and accurate wind power prediction plays a crucial role in the utilization of wind energy. In this paper, we show that the error distribution in wind power modeling is asymmetric, thick-tailed and leptokurtic. However, most existing methods assume that modeling errors are symmetrically distributed, which is inconsistent with the observed asymmetric error distributions in practical wind power modeling. Thus, these methods may not effectively characterize the complex asymmetric error distribution, limiting their ability to improve fitting performance in power modeling. To address this limitation, we develop a deep fuzzy inference system fused with probability density function control for wind power forecasting with asymmetric error distribution. Specifically, an enhanced feature generation block is first employed to characterize the local distribution features between wind speed and power series. Then, the hybrid deep fuzzy inference system (DFIS) block is proposed to extract effective fuzzy rules for capturing complex relationships from local feature structures, where a novel hybrid weight updating strategy is developed for implementing consequence functions in the fuzzy rules, which enhances the approximation ability of the DFIS. Finally, considering the asymmetric characteristic of modeling error, a novel ensemble pruning block based on the Bayesian inference fused with probability density function shape control of modeling error is proposed to integrate the most influential DFISs for the final wind power prediction results. The wind power data from the real wind farm is adopted for an empirical study, and the simulation results verify the designed wind power forecast modeling strategy produces better performance under different wind datasets when compared with some popular artificial intelligence-based models. © 2025

关键词： Distribution functions

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Design, Modeling, and Experimental Investigation of a 2-Dof Ger Fluid Damper in Cut Mode

SSRN

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SSRN 2024年

作者： Cao, Xijun Zhao, Jinglei Mao, Lei Sun, Zhi Cao, Huajun Luo, Jun Huang, Xiaoxu Pu, Huayan State Key Laboratory of Mechanical Transmission for Advanced Equipments Chongqing University No.174 Shazheng Road Chongqing400044 China College of Mechanical and Vehicle Engineering Chongqing University No.174 Shazheng Road Chongqing400044 China College of Materials Science and Engineering Chongqing University No.174 Shazheng Road Chongqing400044 China School of Mechatronics Engineering and Automation Shanghai University No.99 Shangda Road Shanghai200444 China

Dampers featuring smart materials have garnered significant interest for their application in vibration and shock isolation. The conventional working modes of these dampers encompass shear, flow, and squeeze modes, each possessing its strengths and weaknesses. This study introduces a working mode derived from these existing modes, referred to as the Cut mode. This mode exhibits a structure like the flow mode, operates like the shear mode, and behaves similarly to the squeeze mode. Consequently, extensive research has been conducted at the particle level to mathematically model the Cut mode based on chain formation and breaking mechanisms. Additionally, the giant electrorheological (GER) fluid—an enhanced type of rheological fluid with high yield strength—is employed for investigations. Furthermore, a verification prototype damper is presented, with a multilayer cylindrical structure based on the Cut mode that offers 2-degree of freedom (DOF) damping capabilities suitable for simultaneous translational motion in axial direction and rotational motion in circumferential direction—making it ideal for robotic arm joints applications. Moreover, four orifice boards of varying shapes and sizes were designed, fabricated, and tested to optimize and enhance the effectiveness of the Cut mode. The results demonstrate that this proposed damper employing such a working mode exhibits superior performance characteristics with promising prospects for engineering applications. © 2024, The Authors. All rights reserved.

关键词： Damping

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Resilient Output Containment Control of Heterogeneous Multiagent Systems Against Composite Attacks: A Digital Twin Approach

arXiv

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arXiv 2023年

作者： Cui, Yukang Cao, Lingbo Basin, Michael V. Shen, Jun Huang, Tingwen Gong, Xin College of Mechatronics and Control Engineering Shenzhen University Shenzhen518060 China School of Physical and Mathematical Sciences the Autonomous University of Nuevo Leon Mexico College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing211106 China Texas A&M University at Qatar Doha23874 Qatar Department of Mechanical Engineering The University of Hong Kong Pokfulam Road Hong Kong

This paper studies the distributed resilient output containment control of heterogeneous multiagent systems against composite attacks, including denial-of-services (DoS) attacks, false-data injection (FDI) attacks, camouflage attacks, and actuation attacks. Inspired by digital twins, a twin layer (TL) with higher security and privacy is used to decouple the above problem into two tasks: defense protocols against DoS attacks on TL and defense protocols against actuation attacks on cyber-physical layer (CPL). First, considering modeling errors of leader dynamics, we introduce distributed observers to reconstruct the leader dynamics for each follower on TL under DoS attacks. Second, distributed estimators are used to estimate follower states according to the reconstructed leader dynamics on the TL. Third, according to the reconstructed leader dynamics, we design decentralized solvers that calculate the output regulator equations on CPL. Fourth, decentralized adaptive attack-resilient control schemes that resist unbounded actuation attacks are provided on CPL. Furthermore, we apply the above control protocols to prove that the followers can achieve uniformly ultimately bounded (UUB) convergence, and the upper bound of the UUB convergence is determined explicitly. Finally, two simulation examples are provided to show the effectiveness of the proposed control protocols. © 2023, CC BY.

关键词： Directed graphs

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High performance efficiency of optical networking infrastructure characteristics with maximum speed of commercial fiber optic line cables employment

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Journal of Optical Communications 2024年第s1期45卷 s2679-s2688页

作者： Gopalan, Anitha Arjunsingh, Kishore Kumar Ramya, Mohanraj Thangaraj, Jayakumar Venkatanaresh, Mandyam Rajendran, Kanchana Omran, Omar Karem Hossain, Md. Amzad Department of ECE Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences SIMATS Tamil Nadu Chennai India Department of Robotics and Automation Sri Ramakrishna Engineering College Tamil Nadu Coimbatore India Department of ECE S.A. Engineering College Tamil Nadu Chennai India Department of Mechatronics Engineering KCG College of Technology Tamil Nadu Chennai India Andra Pradesh Tirupati India Department of CSE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamil Nadu Chennai India Naser Institute of Engineering Portsaid Egypt Department of Electrical and Electronic Engineering Jashore University of Science and Technology Jashore7408 Bangladesh

Fiber optic communications have made great strides, and it is now the foundation of our telecommunications and data networking infrastructures. Due to its beneficial characteristics, including low attenuation, a large bandwidth, and immunity to electromagnetic interference, optical fiber is frequently acknowledged as a superior transmission medium. Optical fibers have been widely used to create high speed lines that can transmit either a single wavelength channel or many wavelength channels using wavelength division multiplexing due to their special features (WDM). The maximum speed of commercial fiber-optic cables was only 2.5 Gb/s and can be extended to 1 Tb/s for short and medium distance. The study clarifies the possible transmission distance for different transmission media silica/plastic optical fibers with various optical fiber window transmissions versus environmental ambient temperature variations. The study demonstrated the bad effects of the temperature effects on the optical fiber transmission media (silica/plastic fibers) for various transmission windows. © 2023 Walter de Gruyter GmbH, Berlin/Boston.

关键词： Optical fibers

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An Efficient Defect Detection System for Printed Circuit Boards with Edge-Cloud Fusion Computing 3

An Efficient Defect Detection System for Printed Circuit Boa...

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3rd International Conference on Industrial Artificial Intelligence, IAI 2021

作者： Wu, Yi Wang, Jing Chen, Yang-Quan Beijing University of Chemical Technology College of Information Science and Technology Beijing China University of Technology School of Electrical and Control Engineering Beijing China University of California Mechatronics Embedded Systems and Automation Lab MercedCA95343 United States

ISBN: (纸本)9781665435178

Many intelligent methods have been proposed and applied in the field of autonomous manufacturing inspection. These advanced algorithms with high requirements on computing power and network may lead to time delay, high cost and energy consumption in practical applications with massive data to be processed. We carry out an efficient defect detection system in an end-edge-cloud architecture with the concept of edge computing to process the big data quickly and effectively. A branchy deep learning model with early exit capability of inference is proposed to detect the category and location of the defect in printed circuit boards. We offload part of the computing tasks to the edge nodes by segmenting and deploying the DL model. Therefore, our system has high detection efficiency and makes real-time defect detection possible. © 2021 IEEE.

关键词： Printed circuit boards

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Dynamic Analysis of Reciprocating Compressor with Crankshaft Crack 4

Dynamic Analysis of Reciprocating Compressor with Crankshaft...

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4th Annual International Conference on Data Science and Business Analytics, ICDSBA 2020

作者： Cheng, Shouguo School of Mechatronics Engineering and Automation Shanghai University Shanghai China Shanghai China Department of Mechanical and Electrical Engineering Jiangyin Polytechnic College Jiangsu China

ISBN: (纸本)9781728181646

In order to study the influence of crankshaft crack on the dynamics of reciprocating compressor, the model of crankshaft flexible body with crack was established by using finite element method, and the flexible body was activated for analysis and calculation during dynamic simulation. Through the analysis of the simulation results of the rigid body model and rigid flexible coupling model, it can be seen that the crank-shaft has a small deformation under the force of piston force. Comparing the simulation results of rigid flexible coupling model with crack and without crack when crankshaft rotates clockwise, it is found that the existence of crack increases the deformation of crankshaft. By comparing the simulation results of the rigid flexible coupling model with and without crack when the crankshaft rotates counterclockwise, the influence of crankshaft steering on the deformation of cracked crankshaft is found. The stability of the system is discussed by using phase diagram and Lyapunov exponent. The results show that the motion of the system is chaotic when the crankshaft with cracks rotates in reverse direction. © 2020 IEEE.

关键词： Deformation

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