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检索条件"任意字段=Conference on Advanced Sensor Systems and Applications VII"

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16th International Joint conference on Biomedical Engineering systems and Technologies, BIOSTEC 2023

16th International Joint Conference on Biomedical Engineerin...

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16th International Joint conference on Biomedical Engineering systems and Technologies, BIOSTEC 2023

The proceedings contain 196 papers. The special focus in this conference is on Biomedical Engineering systems and Technologies. The topics include: Monitoring of Vital Signs in the Home Environment: A Review of Current Technologies and Solutions;Analysis of a Simple Method to Change the Wettability of the PDMS Surface for Biomicrofluidic applications;in Vitro Flow Study in an Intracranial Aneurysm Biomodel Manufactured by Additive Manufacturing;a Novel Multi-Modal Sensing System Prototype for Cardiovascular and Cardiopulmonary Monitoring;A Novel Microfluidic Pressure sensor for Traditional Chinese Medicine (TCM) Pulse Data Collection and Analysis;design and Manufacturing of Microtextured Patient-Specific Coronary Stent;ultra-Low Power Electronic Circuits Inspired by Biological Genetic Processes;in silico Tissue Engineering and Cancer Treatment Using Cellular Automata and Hybrid Cellular Automata-Finite Element Models;4D Printed Surgical Devices: Current Capabilities and Challenges;bioimpedance Simulations for the Monitoring of Fluid Overload in Heart Failure Patients;towards an Intelligent Triage Bracelet: A Conceptual Study of a Semi-Automated Prehospital Triage Algorithm and the Integration of Blood Pressure Measurement;simulating the Effects of Melanin and Air Gap Depth on the Accuracy of Reflectance Pulse Oximeters;a Portable System for Screening of Cervical Cancer;A Modular BLE-Based Body Area Network Embedded into a Smart Garment for Rescuers Real-Time Monitoring in Emergency Scenarios;enhancing Men’s Health Management at Home with an Easy-to-Use, App-Connected Prostate Self-Testing Device;towards a Synthetic Tissue Model of the Lower Urinary Tract;biomechanical System Prototype with advanced Biofeedback for Rehabilitation of Bedridden Patients;smartphone sensors to Measure Individual Sleeping Pattern: Experimental Study.

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IoT-based automatic road accident detection systems: A review

IoT-based automatic road accident detection systems: A revie...

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Soft Computing for Security applications (ICSCSA), International conference on

作者： Prabu C R Kalakunnath Namitha Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Amritapuri India

ISBN: (数字)9798331515720

ISBN: (纸本)9798331515737

With the increasing number of vehicles on roads, the occurrence of road accidents has become a major concern globally. Automatic road accident detection systems based on Internet of Things (IoT) technologies have emerged as a promising solution to improve emergency response times and reduce the severity of accidents. The review encompasses various aspects including the underlying technologies, sensor networks, data processing algorithms, communication protocols, and system architectures used in these systems. Furthermore, the paper discusses the challenges and limitations of current approaches such as sensor accuracy, system scalability, and real-time data processing. It also identifies future research directions including the integration of advanced sensor technologies, machine learning algorithms for accident prediction, and the development of standardized communication protocols for interoperability among different systems. To improve road safety, researchers and practitioners can use the ideas to help build IoT- based autonomous road accident detection systems that are more effective and efficient.

关键词： Road accidents Protocols Machine learning algorithms Reviews Emergency services Data processing Software Hardware Internet of Things Vehicles

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IOT based Monitoring and Rapid Controlling Circuit Breaker

IOT based Monitoring and Rapid Controlling Circuit Breaker

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Intelligent systems and advanced applications (ICISAA), International conference on

作者： Pankaj Kumar Rajashree Bhokare Department of Electrical Engineering Dr. D.Y. Patil Institute of Technology Pimpri Pune India

ISBN: (数字)9798331539948

ISBN: (纸本)9798331539955

Customary low-voltage circuit breakers lack integrated chips, making them challenging to enhance with smart capabilities. However, with advancements in chip and data technology, it’s now possible to incorporate electronics with chips and communication modules into these circuit breakers, making them intelligent and automated considering that these circuit breakers are frequently mounted outside; their design must also consider the requirements of external environments. The communication capability of the circuit breaker is crucial for making it smart. Diverse safety mechanisms, remote control capabilities, early warning systems, continuous surveillance, prompt recuperation, and other functionalities can be integrated into intelligent circuit breakers to enhance the reliability of minimal voltage circuits.

关键词： Microcontrollers Circuit breakers Surveillance sensor systems Real-time systems Safety Integrated circuit reliability Voltage control Relays Remote control

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Cloud-Based Monitoring of Lithium-Ion Battery Management systems for Health Estimation in Manufacturing Industries

Cloud-Based Monitoring of Lithium-Ion Battery Management Sys...

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2025 International conference on Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility, ADMMS 2025

作者： Zeeshan, Mohammad Akre, Vineet Wardwizard Innovations and Mobility India

The increasing reliance on lithium-ion batteries in manufacturing necessitates advanced monitoring techniques to ensure their longevity and reliability. Cloud technology offers a solution by enabling real-time data collection, analysis, and accessibility, facilitating thorough monitoring and predictive maintenance. Digital twin technology, creating a virtual replica of the physical battery system, provides a platform for simulating real-world conditions and predicting potential issues before they arise. By integrating sensor data and historical usage patterns, the digital twin model can accurately predict battery degradation, aiding in timely maintenance strategies. This proactive approach enhances battery operational efficiency and extends lifespan, leading to cost savings and improved safety. The paper explores using cloud-based monitoring systems to enhance the health estimation and management of lithium-ion batteries. A comprehensive feasibility study on adopting battery digital twin technology for electric two-wheeler and three-wheeler manufacturers examines creating a digital twin model for batteries and validating corresponding tests. Furthermore, the research discusses the technical challenges and solutions associated with implementing digital twin technology in manufacturing. Key metrics such as state of charge (SoC) and state of health (SoH) are analyzed to showcase the effectiveness of the digital twin model in real-world applications. © 2025 SAE International. All Rights Reserved.

关键词： Predictive maintenance

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2nd International conference on Forthcoming Networks and Sustainability in the AIoT Era, FoNeS-AIoT 2024

2nd International Conference on Forthcoming Networks and Sus...

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2nd International conference on Forthcoming Networks and Sustainability in the AIoT Era, FoNeS-AIoT 2024

ISBN: (纸本)9783031628702

The proceedings contain 69 papers. The special focus in this conference is on Forthcoming Networks and Sustainability in the AIoT Era. The topics include: Finding the Flies in the Sky Using advanced Deep Learning Algorithms;selective Harmonic Elimination in Multilevel Inverters Using the Bonobo Optimization Algorithm;optimizing Solar Energy Efficiency Through Automatic Solar Tracking systems;instant High Starting Current Protection System for Induction Motor Based Reducing the Starting Speed;robot Hand-Controlled by Gyroscope sensor Using Arduino;human Activity Recognition Using Convolutional Neural Networks;cyberbullying Detection for Urdu Language Using Machine Learning;A Cybersecurity Procedure to Vulnerabilities Classification of Windows OS Based on Feature Selection and Machine Learning;a Survey of Next Words Prediction Models;blockchain-Based Secured Estate Property Registration System: Baghdad Estate Registration as a Case Study;a Mobile Robot with an Autonomous and Custom-Designed Control System;A Web-Based Disease Prediction System Using Machine Learning Algorithms and PCA;enhancing IoT Device Security: A Comparative Analysis of Machine Learning Algorithms for Attack Detection;Enhancing Facial Recognition Accuracy and Efficiency Through Integrated CNN, PCA, and SVM Techniques;a Survey of Machine Learning Assistance in Seismic Interpretation;designing and Simulation of Three Phase Grid-Connected Photovoltaic System;Creating Synthetic Test Data by Generative Adversarial Networks (GANs) for Mobile Health (mHealth) applications;deep Neural Networks for Fetal Health Monitoring Through Cardiography Data Analysis;Detecting BGP Routing Anomalies Using Machine Learning: A Review;calculation of Bit-Error Probability for Direct-Sequence Spread-Spectrum Communications with Multiple-Access Interference of Rayleigh Distribution;determining the Digits of Turkish Sign Languages Using Deep Learning Techniques.

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A Risk Evaluation Method Before Using a Black-box Model Considering sensor Failure

A Risk Evaluation Method Before Using a Black-box Model Cons...

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IEEE International Workshop on Intelligent Data Acquisition and advanced Computing systems: Technology and applications

作者： Tangxiao Yuan Weilin Xu Kondo H. Adjallah Huifen Wang Junshan Xu Nanjing University of Science and Technology Nanjing P.R.China LCOMS Universite de Lorraine Metz Cedex 03 France

When developing an algorithm, data from sensors is often assumed to be perfect. However, sensors can fail, and a robustness function test alone may not be enough to convince customers to use a black-box in a critical durable system, because it doesn't take into account the impact of a wrong decision made by the black-box algorithm. A risk evaluation method has been proposed to assess the negative impact caused by sensor failure when using a black-box. The identification and quantification of sensor failures and risks are incorporated into the assessment process. This method has been proven useful through a case study of an access gate, where it was used to rank the importance of each sensor for the operator.

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2nd International conference on Forthcoming Networks and Sustainability in the AIoT Era, FoNeS-AIoT 2024

2nd International Conference on Forthcoming Networks and Sus...

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2nd International conference on Forthcoming Networks and Sustainability in the AIoT Era, FoNeS-AIoT 2024

ISBN: (纸本)9783031628801

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Solutions on Multiple Configuration Sensing systems 11

Solutions on Multiple Configuration Sensing Systems

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conference on advanced sensor systems and applications XI

作者： Liu Hua Ding Quanxin Zhu Ronggang Sci & Technol Electroopt Control Lab Beijing Peoples R China Luoyang Inst Electroopt Equipment AVIC Luoyang Peoples R China Beijing Inst Technol Beijing Peoples R China

ISBN: (数字)9781510646520

ISBN: (纸本)9781510646520;9781510646513

The continuous zoom multi configuration method is developed, and the correlative model is established, which overcomes the limitations of traditional methods, and realizes the expected system evaluation criteria,such as MTF, REA, RMS, etc..through the balance between value function, optimization algorithm and model parameterization.

关键词： Optical design Optimization Global Methods

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A Single-Wire Soft sensor for Seamless Multimodal Tactile Sensing

A Single-Wire Soft Sensor for Seamless Multimodal Tactile Se...

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IEEE International conference on Soft Robotics (RoboSoft)

作者： Matteo Meneghetti Francesco Visentin Department of Engineering for Innovation Medicine Section Engineering University of Verona Italy

ISBN: (数字)9798331520205

ISBN: (纸本)9798331520212

Integrating sensing in a soft robot is still crucial to enable feedback response to environmental stimuli. This paper presents a single-wire soft sensor for multimodal tactile sensing designed to address the limitations of current technologies. The sensor integrates a stimulus-responsive hydrogel with a unique design that enables spatial and force sensing by leveraging changes in electromagnetic resonance properties. With a simplified structure, the sensor is fabricated with minimal wiring, maintaining flexibility and adaptability for various robotic applications. Experimental results demonstrate high accuracy in detecting contact points (up to 98%) and applied forces (96%) and a combined detection accuracy of 87%. This approach allows for distributed sensing within the robot or using the whole body as a sensing element, enhancing the system’s responsiveness to environmental stimuli and supporting advanced applications in physical intelligence.

关键词： Wiring Accuracy Soft sensors Hydrogels Force Soft robotics Robot sensing systems Resonance Electromagnetics

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sensor based posture detection system

Sensor based posture detection system

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International conference on Integration of advanced Technologies for Industry 4.0 (ICIATI) - Materials Science

作者： Devi, K. Nirmala Anand, Jose Kothai, R. Krishna, J. M. Ajai Muthurampandian, R. KCG Coll Technol Chennai Tamil Nadu India

Posture identification system has been extensively useful in areas such as physical activities, ecological awareness events, man machine interfacing applications, control room panel monitoring systems and in autonomous old people caring systems. This paper describes a sensor based posture detection and guidance system while doing yoga exercise. In our day-to-day life, doing yoga exercise has become a well-known discipline, which helps people to be physically fit and have good mental health. Practicing yoga exercise is a recognized system for the human beings to improve their physical and mental activities. This practice helps in regulatory activities in an individual's mind, body and soul. As a result of this, flexibility, muscle power and body image will increase. The existing method has shown the recognition of posture analysis through virtual reality and exergame. We proposed a suit that is designed and implemented through a virtual master. The suit is integrated with various types of accelerometer sensors which are fixed on the flexible bands, that are light in weight and are used indirectly to measure the orientation of the limbs. Also the sensor integrated suit is very helpful to measure the direction of the tilt moment. Predefined calibrated values are loaded on to the microcontroller, which are compared with the measured values and when there is a match the information is sent to a mobile application. The mobile app identifies whether the user is doing the posture correctly or not based on the information given to practice the yoga exercise. (C) 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International conference on Integration of advanced Technologies for Industry 4.0 : Materials Science

关键词： Mobile app Posture detection sensors Suit Yoga

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