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Design and PID control of a Lower Limb Exoskeleton for Virtual Reality-Based Telerehabilitation 11

Design and PID Control of a Lower Limb Exoskeleton for Virtu...

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11th international conference on Mechatronics and Robotics engineering, ICMRE 2025

作者： Aktan, Mehmet Emin Falkowski, Piotr Zawalski, Krzysztof Jeznach, Kajetan Ömürlü, Vasfi Emre Akdoǧan, Erhan Bartin University Department of Mechatronics Engineering Bartin Turkey Health Institutes of Türkiye Istanbul Turkey Industrial Research Institute for Automation and Measurements Piap Lukasiewicz Research Network Warsaw Poland Yildiz Technical University Department of Mechatronics Engineering Istanbul Turkey

ISBN: (纸本)9798331509293

Rehabilitation is a critical process that enables people who have lost motor skills to regain their physical abilities. Exoskeletons offer innovative solutions to accelerate the functional recovery of patients and increase the effectiveness of treatment. The integration of virtual reality and biological signal processing technologies into such systems allows the user's movements to be detected in real time with high accuracy, enabling remote and personalised treatment. This study explains the working principle and control structure of a 4-degree-of-freedom lower limb exoskeleton robot developed for virtual reality-based telerehabilitation. The details of the electrical components of the system such as controller, input and output units, motor, sensor, virtual reality goggles, EEG and EMG devices and their interrelationships are explained. The position control performance for each joint using the PID control method is analysed. The results show that the exoskeleton can follow the given target trajectories with different error values depending on the period and joint. A maximum position error of 0.659 degrees was observed in the hip flexion-extension joint, while the average error for this joint was recorded as 0.385 degrees. © 2025 IEEE.

关键词： Functional neural stimulation

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Necessary Optimality Conditions for a Weak Minimum in control Problems with Non-regular Mixed Constraints 16th

Necessary Optimality Conditions for a Weak Minimum in Con...

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16th APCA international conference on automatic control and Soft computing, controlO 2024

作者： Karamzin, Dmitry SYSTEC-ARISE Faculty of Engineering University of Porto Porto Portugal

ISBN: (纸本)9783031817236

The issue of non-regular mixed constraints in optimal control problems is addressed. The necessary optimality conditions are derived in the case of a weak minimum. An example of a control problem with non-regular mixed constraints is provided for which the presented theory can be applied. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Optimal control systems

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Smart Home Automation with MQTT Using ESP32 and Node-RED 4

Smart Home Automation with MQTT Using ESP32 and Node-RED

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4th international conference on Power, control and computing Technologies, ICPC2T 2025

作者： Chouragadey, Pratik Rathore, Bhavna Khare, Gaurav MP Gwalior474005 India Dept. of Electrical Engineering Gati Shakti Vishwavidyalaya Vadodara India

ISBN: (纸本)9798331530402

This paper presents a novel approach to home automation utilizing the MQTT protocol. The system is implemented using an ESP32 node and a Node-RED server running on a Raspberry Pi, allowing users to control the system from the Raspberry Pi as well as client terminals. The proposed system enables users to control and monitor home appliances remotely from anywhere. By using the lightweight MQTT protocol, the system provides real-time communication between the node and the server and ensures responsive control and data monitoring. The implementation of the ESP32 node provides us flexibility and scalability, while Node-RED provides us with a user-friendly interface for system management. Experimental results validate the system's effectiveness in maintaining reliable connectivity between node and server. This work highlights the potential of MQTT-based home automation systems to provide enhanced control and monitoring capabilities in modern smart homes. © 2025 IEEE.

关键词： Three term control systems

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Design and Implementation of an IoT-Based Smart Vehicle Ventilation System to Enhance Air Quality and Temperature control with Remote Monitoring and Automation

Design and Implementation of an IoT-Based Smart Vehicle Vent...

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2025 international conference on Intelligent control, computing and Communications, IC3 2025

作者： Sethi, Gaurav Kumar, Amit Malik, Praveen Kumar Chamoli, Sakshi Sunil, G. Singh, Parulpreet School of Electronics and Electrical Engineering Lovely Professional University Punjab Phagwara India Ajay Kumar Garg Engineering College Uttar Pradesh Ghaziabad India Uttaranchal University Uim Uttarakhand Dehradun India School of Computer Science & Artificial Intelligence Sr University Warangal India

ISBN: (纸本)9798331527495

The heightened attention placed on sustainable urban mobility has propelled the development of a range of vehicle technologies aimed at improving the comfort of users and more importantly, their ecological impact. One of the challenges that is gaining ground in the directions of modern vehicles, particularly in hot and urban areas, is the need for control of the cabin air quality as well as the cabin temperatures. Increased ventilation in vehicles that are poorly maintained may result into discomfort and health risks as well as wastage of fuel where the air conditioning is over used. Continuous breathing of air that has low air exchange can lead to high levels of carbon dioxide (CO2) and low levels of breathable air that can cause serious health problems to both drivers and passengers. In addition, urban pollution of the air worsens the situation so that, to maintain a safer in-vehicle environment, effective ventilation systems are required. Due to these phenomena, there is a rising demand for automatic solutions that can monitor, manage and improve the air quality and temperature levels in vehicles. In most cases, vehicles' ventilation systems are dependent on air conditioning unit and manual systems;however, new technologies like the Internet of Things (IoT) have made it possible to develop better and intelligent climate control systems. These systems can operate automatically without requiring human action by employing real-time data, rendering them both convenient and energy efficient. © 2025 IEEE.

关键词： Automobiles

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Adaptive Independent Component Analysis for Blind Source Separation in Multi-Speaker Acoustic Environments with Enhanced Noise Resilience

Adaptive Independent Component Analysis for Blind Source Sep...

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2025 international conference on Intelligent control, computing and Communications, IC3 2025

作者： Swathi, B. Gupta, Manish Jayasri, Nemala Najm, Rusul Radhika, R. Rao, Perumalla Varaprasada New Horizon College of Engineering Department of Information Science Engineering Bangalore India Lovely Professional University Phagwara India Mlr Institute of Technology Department of CSE-AI&ML Telangana Hyderabad India College of Medical Technology The Islamic University Radiology Techniques Department Najaf Iraq Galgotias university Department of Electrical Electronics & Communication Engineering Uttar Pradesh Gerater Noida203201 India Griet Department of Cse Bachupally Telangana Hyderabad India

ISBN: (纸本)9798331527495

BSS stands for blind source separation is an important method to unmix the resulted speech signal when multiple speakers are involved in the audio signals. This research deals with enhancing the use of Independent Component Analysis (ICA) with particular emphasis on issues of preprocessing and analysis of simultaneous speech occurrence in complicated environments. The NOISEX-92 database was used which is a multi-speaker recording with noise and then ICA algorithms are applied using the programming language Python with Scikit-learn tools. Using an ICA approach, the mixed signals were reversed into their original and independent parts, which should correspond to different speakers. The performance of the separated speech signals was analyzed based on measures such as signal to noise ratio (SNR), and perceptual evaluation of speech quality (PESQ) to effectively demonstrate the success of the method for separating speech sources. The implications of the findings are that ICA should improve source separation in real-world environments and future research into speech enhancement, teleconferencing barren sophisticated automatic speech recognition systems. © 2025 IEEE.

关键词： Blind source separation

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Continuous-Time Double Actors and Regularized Critics in Reinforcement Learning 14th

Continuous-Time Double Actors and Regularized Critics in R...

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14th international conference on Frontier computing, FC 2024

作者： Li, Shuhao Zhang, Shengjie Zhang, Han Zhou, Rui School of Information Science and Engineering Lanzhou University Lanzhou China

ISBN: (纸本)9789819623945

Despite advances in continuous-time reinforcement learning, employing continuous-time actor-critic (CTAC) algorithm is not always the best choice due to the lack of value estimation method. This paper introduces a novel Continuous-time Double Actors and Regularized Critics method. We apply the underlying ideas behind the success of continuous control reinforcement learning to continuous-time tasks, aiming to achieve better value estimation and exploration compared to CTAC. Experimental results demonstrate that our method can reach the maximum reward in fewer training rounds, significantly outperforming CTAC. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Reinforcement learning

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Electric Vehicle Charging System Using RFID and IoT for Enhanced User Experience 5

Electric Vehicle Charging System Using RFID and IoT for Enha...

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5th IEEE Middle East and North Africa COMMunications conference, MENACOMM 2025

作者： Hassain, Md Mehedi Haque Jamil, Injamul Hoque, Md Mahmudul Hasan, Md. Jahid International Islamic University Chittagong Dept. of Electrical and Electronics Engineering Chittagong Bangladesh University of Greenwich Dept. of Computing and Mathematical Sciences London United Kingdom CCN University of Science and Technology Dept. of Computer Science and Engineering Cumilla Bangladesh Comilla University Dept. of Information and Communication Technology Cumilla Bangladesh

ISBN: (纸本)9798331519957

Electric vehicles (EVs) are surging in popularity globally, offering a greener and more energy-efficient alternative to traditional cars. Our research aims to develop an RFID based system designed to automate EV charging with minimal user input. This system integrates RFID readers, tags, a microcontroller, and a relay module to manage and monitor charging sessions efficiently. An IoT platform supports real time monitoring and remote control, while a secure payment mechanism handles transactions seamlessly. RFID tags identify vehicles for automatic charging initiation, and the relay module prevents overcharging by disconnecting power after a set time. The system uses MQTT for data transmission and offers real-Time insights into energy use and account balances. All information is updated and displayed in real-Time on the server. MySQL ensures scalability, enabling effective handling of large volumes of data. The mobile application dashboard provides a view of the charging and discharging processes for user monitoring, and an email notification is sent after the recharge. EV battery charging status is monitored through visual graphs. Key benefits include a streamlined user experience, improved charging management, and support for EV adoption. This innovation advances sustainable mobility with a user friendly, efficient charging solution. © 2025 IEEE.

关键词： Radio frequency identification (RFID)

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automatic electrical fault detection method for power supply and distribution based on fuzzy C-Mean

Automatic electrical fault detection method for power supply...

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2024 international conference on Physics, Photonics, and Optical engineering, ICPPOE 2024

作者： Wang, Xinxiang Department of intelligent manufacturing Shandong Vocational College of Science and Technology Shandong Weifang261053 China

ISBN: (数字)9781510689121

ISBN: (纸本)9781510689114

Effective fault risk early warning and timely risk prevention and control measures are of great significance to improve the reliability of power supply. In this paper, a distribution network fault early warning model based on LSTM and FCM clustering is proposed, and an operating parameter prediction method based on the fused fault characteristics is proposed. After that, this paper selects FCM clustering algorithm to identify the boundary conditions of fault state and non-fault state of distribution network, and uses LSTM to predict the characteristic quantities of distribution network in the short term, and further combines the prediction results of characteristic quantities and the obtained state distinguishing boundary conditions to predict the short-term fault occurrence moment in the future, so as to realize fault early warning. This method has a good prediction effect in the actual example data, and can effectively predict the fluctuation of distribution network characteristic quantity and its specific occurrence moment, which can be used as the technical support for subsequent fault early warning. Through simulation analysis, it can be seen that the method proposed in this paper can effectively detect the traveling wave signal when the line fault is weak, and the detection results are not easily affected by the fault type, load fluctuation and white noise. © 2025 SPIE.

关键词： Power distribution faults

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A Study on Next-Generation Malware Reverse engineering Paradigms

A Study on Next-Generation Malware Reverse Engineering Parad...

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2025 international conference on computing for Sustainability and Intelligent Future, COMP-SIF 2025

作者： Chandana, D.M. Mohan, B.A. Quitika Reddy, P. Murthy, M.S.N. Bms Institute of Technology & Management Department of Information Science Bangalore India

ISBN: (纸本)9798331538538

As cyber threats evolve, complex malware targets various systems, weak points in a wide range of situations and can't be stopped by conventional measures. To address these emerging and potent threats, this paper examines the next-generation malware reverse engineering paradigms. We discuss how AI/ML is applicable to the topic for anomaly detection, hypervisor-based introspection to secure continuous monitoring, memory analysis for file-less malware, and system calls mapping that helps in tracking the execution flow of malware. Measures, which allow countering modern malware's features such as obfuscation, polymorphism, and encrypted messages, are described, and they include methods like a hybrid approach to threat analysis, adaptable sandboxes, and heuristic modeling. Some of these techniques have been showcased herein with real-life examples captured in the enterprise and industrial control systems domains. Prevention techniques including the use of prediction models and automatic response mechanisms to control threats are presented to improve threat detection and mitigation. Lastly, in the area of future perspectives for malware detection and analysis, the research looks at quantum-resistant security features, the adoption of blockchain technologies for safe threat sharing as well as progress in cognitive computing for supporting decision-making processes. Such emerging paradigms are emblematic of the need for constant change to preserve a high-security level as the threats keep growing much more severe in the present day context. © 2025 IEEE.

关键词： Reverse engineering

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A Comprehensive Survey on Intelligent Reflecting Surfaces and Unmanned Aerial Vehicles Integration for Enhanced Communication in Massive Networks 11

A Comprehensive Survey on Intelligent Reflecting Surfaces an...

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11th international conference on Mechatronics and Robotics engineering, ICMRE 2025

作者： Attar, Hani Ababneh, Jafar Hafez, Mohamed Rachini, Ali Solyman, Ahmed Bahy, Ramy M. Zarqa University Faculty of Engineering Zarqa Jordan College of Engineering University of Business and Technology Jeddah21448 Saudi Arabia Zarqa University Faculty of Information Technology Cyber Security Department Zarqa Jordan INTI-IU-University Nilai Faculty of Engineering Feqs Malaysia Department of Computer Science and Information Technology Jounieh Lebanon School of Computing Engineering and Built Environment Glasgow Caledonian University Glasgow United Kingdom Technical Research Center Cairo Egypt

ISBN: (纸本)9798331509293

Intelligent Reflecting Surfaces (IRSs) offer a revolutionary approach to wireless communication by dynamically controlling the properties of electromagnetic waves. By manipulating wavefronts without requiring radio frequency links, IRSs can enhance spectrum and energy efficiency, reduce costs, and improve overall system performance. Unmanned Aerial Vehicles (UAVs) have garnered significant attention due to their mobility and adaptability. However, real-time data transmission between UAVs can be hindered by obstacles and security risks. By combining IRSs and UAVs, we can create unparalleled opportunities in demanding environments. Through coordinated movements and intelligent wave reflection, both systems can optimize wireless signal propagation. This paper provides a comprehensive review of IRS-assisted UAV communications. We explore existing research, introduce novel technologies and applications, and highlight potential research directions for developing low-cost and energy-efficient wireless systems. Additionally, we address current challenges and outline promising areas for future study. © 2025 IEEE.

关键词： Drones

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