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A Federated Learning Approach for Telerehabilitation Outcome Prediction in Parkinson's Disease

A Federated Learning Approach for Telerehabilitation Outcome...

引用

ieee international conference on Consumer Electronics (ICCE)

作者： Lucio Ciabattoni Maria Gabriella Ceravolo Marianna Capecci Jose Maria Flores Arias Francisco Bellido Outerino Lucia Pepa Industrial Engineering Department Università Politecnica delle Marche Ancona Italy Revolt srl Ancona Italy Experimental Medicine Department Università Politecnica delle Marche Ancona Italy Electronic and Computer Engineering Department University of Cordoba Cordoba Spain Information Engineering Department Università Politecnica delle Marche Ancona Italy

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

In this study, we propose a telerehabilitation system designed to remotely monitor patients and analyze data collected from wearable devices throughout a 12-week physical exercise program. The system, developed under the RAPIDO project, utilizes a multiple linear regression federated learning (MLRFL) approach to predict patients' rehabilitation outcomes while preserving data privacy. In particular, federated learning allows decentralized data analysis, ensuring that sensitive patient data remains on local devices while only model updates are shared. Preliminary results of the MLRFL compared to a centralized learning architecture show similar prediction performance while adding all the federated learning advantages, thus making it a promising approach.

关键词： Performance evaluation Data privacy Data analysis Federated learning Parkinson's disease Linear regression Patient rehabilitation Data models Wearable devices Monitoring

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Recognition of User's Activeness and Consistency During Conversation and Its Application to More Natural Speech Generation

Recognition of User's Activeness and Consistency During Conv...

引用

international conference on Knowledge and Smart technology (KST)

作者： Jong-In Won Jin-Won Ko Jin-Woo Jung Department of Computer Science and Engineering Dongguk University Seoul Republic of Korea

ISBN: (数字)9798331520403

ISBN: (纸本)9798331520410

This study aims to develop an algorithm that contributes to participation evaluation by analyzing the activeness and consistency of user responses in an interactive conversation chatbot system. DST analysisbased AI prompt engineering was proposed to evaluate the activeness of responses through the user's response speed and length of response, and to determine whether it is consistent with past utterances. By integrating these factors, the system increases the reliability of the response and strengthens the interaction with the user by creating personalized chatbot utterances. This approach has applicability in psychological counseling and is expected to improve user participation in various industries, including education and healthcare.

关键词： Industries Employee welfare Fluctuations Natural languages Psychology Oral communication Speech recognition Medical services Chatbots Prompt engineering

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A DYC system for 4WID Electric Vehicles via Fuzzy-Nonsingular Fast Terminal Sliding Mode Control

A DYC system for 4WID Electric Vehicles via Fuzzy-Nonsingula...

引用

international conference on Mechatronics (ICM)

作者： Jung Eun Lee Byeong Woo Kim Dept. of Electrical Electronic and Computer Engineering University of Ulsan City of Ulsan South Korea

ISBN: (数字)9798331533892

ISBN: (纸本)9798331533908

In this paper, we introduce a novel Direct Yaw Moment Control (DYC) system designed to bolster the stability of four-wheel independent drive (4WID) electric vehicles in diverse extreme driving conditions. Our proposed system is developed based on the design of Non-singular Fast Terminal Sliding Mode Control (NFTSMC) methods to calculate two optimal additional yaw moments, each targeting specific control objectives: the desired yaw rate and the desired sideslip angle. These calculated values are then intelligently weighted in real time using a Fuzzy Logic system to determine the final additional yaw moment applied to the vehicle. The stability of the NFTSMC methods is rigorously ensured through the Lyapunov theory. Simulation results underscore the efficacy of our proposed DYC system, particularly in navigating through extreme driving scenarios. Comparisons with no control and fixed weight-based SMC strategies demonstrated significant improvements in both yaw rate and sideslip angle tracking performance. The proposed method not only amplifies control effectiveness, ensuring swift convergence and high precision, but also substantially mitigates chattering phenomena, as evidenced by yaw moment and torque observations.

关键词： Fuzzy logic Torque Mechatronics Navigation Simulation Electric vehicles Stability analysis Real-time systems Sliding mode control Convergence

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Designing and Implementing an IoT-Based Long-Distance Fire-Extinguishment system “Stationary 3-Axis Fire-Emergency Response Base”

Designing and Implementing an IoT-Based Long-Distance Fire-E...

引用

international conference on Electronics, Materials engineering and Nano-technology (IEMENTech)

作者： Shyantan Kundu Swarajit Dey Md. Mustafa Abdullha Gobinda Sen Malay Gangopadhyay Dept. of Computer Science & Engineering Institute of Engineering & Management Kolkata India Dept. of Electronics & Communication Engineering Institute of Engineering & Management Kolkata India

ISBN: (数字)9798331520762

ISBN: (纸本)9798331520779

This paper presents the design and implementation of an Internet of Thing (IOT)-based long-distance fire-extinguishment system named “Stationary 3-Axis Fire-Emergency Response Base” (STAFERB). The system aims to provide immediate response to fire hazards in various environments, including residential areas, building complexes, commercial areas, small-scale industries, large factories, dense slum areas, and remotely located forest regions. The proposed STAFERB is designed to receive fire location coordinates, fire intensity, and probable cause information. It then calculates the path of a projectile based on considering obstacles and self-detection of a clear line of sight to reach the t1arget location. The system uses this information to select the appropriate speed and type of fire retardant. The designed STAFERB features robust communication, self-path detection, auto-orientation, and reduced response time, making it a significant advancement in fire-fighting technology. Experimental results demonstrate the effectiveness of the proposed STAFERB in mitigating fire hazards and hence can be well suited for real-time disaster management.

关键词： Industries Projectiles Forestry Flame retardants Hazards Real-time systems Production facilities Time factors Reliability Internet of Things

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Corpus Construction for Etiquette Entity and Relation Extraction in Ancient Chinese Texts Assisted by Large Language Models

Corpus Construction for Etiquette Entity and Relation Extrac...

引用

ieee Information technology and Mechatronics engineering conference (ITOEC)

作者： Siriguleng College of Computer Science and Technology Inner Mongolia MINZU University Tongliao China

ISBN: (数字)9798331529482

ISBN: (纸本)9798331529499

To address the issue of data scarcity in entity relationship extraction tasks within the domain of ancient texts and meet the needs of researchers in digital humanities, this paper proposes an automated data annotation method based on the large language model ChatGPT and prompt engineering. By treating the large language model as a “data annotator,” we developed an entity relationship extraction dataset tailored to ritual scenarios in ancient texts for the natural language processing field. This dataset includes five entity types and ten relationship types, characterized by precise labeling. To verify the robustness and versatility of the dataset, comprehensive experiments were conducted on three pre-trained language models. The results demonstrate that pre-trained models based on prompt learning achieve the best performance in entity relationship extraction tasks. This study shows that the data annotation method leveraging large language models provides a feasible solution for automated data annotation, and the corpus of etiquette entity relationship extraction lays an important foundation for the construction of etiquette question answering system and knowledge graph of ancient books.

关键词： Mechatronics Annotations Large language models Knowledge graphs Chatbots Robustness Question answering (information retrieval) Data mining Prompt engineering Labeling

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Using Reinforcement Learning for Security Testing: A systematic Mapping Study

Using Reinforcement Learning for Security Testing: A Systema...

引用

ieee international conference on Software Testing Verification and Validation Workshop, ICSTW

作者： Tanwir Ahmad Matko Butkovic Dragos Truscan Dept. of Information Technology Åbo Akademi University Turku Finland

ISBN: (数字)9798331534677

ISBN: (纸本)9798331534684

Security of software systems has become increasingly important due to the advancement in technology that occurs on a daily basis and due to the interconnectivity that the Internet network system provides. The manual testing process is time-consuming process and inefficient, especially for very large and complex systems. Reinforcement learning has shown promising results in different test generation approaches due to its ability to optimize the test generation process towards relevant parts of the system. A considerable body of work has been developed in recent years to exploit reinforcement learning for security test generation. This study provides a list of approaches and tools for security test generation using Reinforcement Learning (RL). By searching popular research publication databases, a list of 47 relevant studies has been identified and classified according to the type of approach, RL algorithm, application domain and publication metadata.

关键词： Software testing systematics Software algorithms Reinforcement learning Software systems Robustness Classification algorithms Security Test pattern generators Testing

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Point Cloud Live Streaming system Using Scalable Point Cloud Partitioning

Point Cloud Live Streaming System Using Scalable Point Cloud...

引用

ieee international conference on Consumer Electronics (ICCE)

作者： Riku Araki Masaki Bandai Faculty of Science and Technology Sophia University Chiyoda Tokyo Japan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

In recent years, point cloud streaming has attracted attention. Point cloud provides with higher reality and immersiveness. To reduce the file size of point cloud, some data compression methods such as video-based point cloud compression (V-PCC) are presented. However, most of methods are not suitable for point cloud live streaming due to the processing time of data compression. In this paper, we propose a point cloud live streaming system using scalable point cloud partitioning. The proposed method reduces file size by partitioning point cloud data into multiple layers and streams them sequentially, aiming to improve the number of rendered points and reduce playback interruptions (stalling). We implement the proposed system on actual devices and conduct performance evaluations.

关键词： Point cloud compression Performance evaluation Bidirectional control Streams Consumer electronics

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A Novel Pressure Sensor with Composite Sensitive Film for High Precision Measurement at Broad Range

A Novel Pressure Sensor with Composite Sensitive Film for Hi...

引用

ieee international conference on Micro Electro Mechanical systems

作者： Xiaopeng Chen Sijia Ling Hanyang Tong Yujing Xiao Jin Zhang Zhengyin Yu Qinghui Jin The Faculty of Electrical Engineering and Computer Science Ningbo University China Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences China

ISBN: (数字)9798331508890

ISBN: (纸本)9798331508906

Microelectromechanical system (MEMS) based pressure sensors have been utilized for decades; however, new trends in pressure sensors have recently emerged, such as increased sensitivity, a broader range and reduced chip size. This paper presents a tiny 0.6mm×0.8mm piezoresistive pressure sensor that offers exceptional sensitivity (0.27mV/kPa/3.3V) at a wide range of pressures (0-1MPa). The innovative composite pressure-sensitive film of the sensor is composed of a 10μm "*"-shaped single-crystalline silicon structure and a remarkably thin thickness of only 2.5μm poly-silicon film. It is developed utilizing the thin-film under bulk-silicon technique. And simultaneous improvement of detection sensitivity and linearity is achieved by etching out the nonlinear deformation region of the film.

关键词： Pressure sensors Micromechanical devices Microelectromechanical systems Sensitivity Deformation Silicon Pressure measurement Stress Piezoresistance Periodic structures

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GPS Based Electronic Toll Collection system with Energy Harvesting Capability

GPS Based Electronic Toll Collection System with Energy Harv...

引用

ieee Students' conference on Electrical, Electronics and Computer Science (SCEECS)

作者： Upma Singh Rajveer Singh Yaduvanshi Shailesh Mishra Department of ECE Netaji Subhash University of Technology Dwarka

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529840

In this work, we proposed a Rectangular Dielectric Resonator Antenna (RDRA) based Global Positioning system (GPS) antenna with energy harvesting capabilities to replace and eradicate traffic jams at the toll plaza due to existing RFID technology. The GPS-based Electronic Toll with an efficient system is envisioned to streamline toll operations, reduce congestion, and improve the overall user experience with localization capabilities. The L1 band GPS antenna is connected to two channels, one with energy harvesting and another with an onboard unit (OBU) of the electronic system. In this paper, the GPS L1 antenna is designed at 1575.42 MHz. The GPS L1 antenna is designed with a matching circuit and RF to DC voltage devices, such as speed sensors, that can be powered by radio frequency energy harvesting systems used at GPS-based toll plazas.

关键词： Rectennas Voltage Supercapacitors Dielectric resonator antennas User experience Sensor systems Sensors Energy harvesting Global Positioning system Radiofrequency identification

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IoT Based Seat Adjustable Health Monitoring Wheelchair system by Utilizing Piezoelectric Crystal and Solar Energy

IoT Based Seat Adjustable Health Monitoring Wheelchair Syste...

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2025 international conference on Visual Analytics and Data Visualization, ICVADV 2025

作者： Kishore, S. Jagathratchagan, T. Hari Sankar, V. Srinivasan, S. K.S.Rangasamy College of Technology Department of Electrical and Electronics Engineering Namakkal637215 India

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521394

Smart wheelchairs are designed to increase mobility, safety, and independence for the elderly and disabled persons. They are self-powered, reducing reliance on external power sources by incorporating solar panels that harness ambient sunlight to charge the wheelchair's battery and piezoelectric crystal that converts the mechanical pressure or vibration into electric energy. This integration ensures a continuous power supply, further enhancing the chair's functionality. And also, it is automatic turn-on and turn-off wheelchair with the help of piezoelectric. Additionally, the wheelchair includes vital signs monitoring and instant alerts to notify caregivers of unusual situations or falls. It features a safety mechanism that ensures safety by adjusting its path to prevent accidents. The system supports remote monitoring and control, allowing administrators to keep an eye on the user's status from a distance. Furthermore, it keeps users informed and safe by displaying instant updates on internal battery status, power levels, and health metrics on an LCD screen. This wheelchair design incorporates multiple adjustable position angles, allowing for greater flexibility and comfort for the user. The integration of technology, including solar energy and experimentation, this innovative wheelchair offers a practical, efficient, and reliable solution to enhance mobility and promote healthy living. © 2025 ieee.

关键词： Disabled persons

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