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

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CORP CONNECT- A Comprehensive System for Efficient Municipal Services, Manhole Lid Management, and Toxic Gas Monitoring

CORP CONNECT- A Comprehensive System for Efficient Municipal...

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International conference on Communication, Computing and Internet of Things (IC3IoT)

作者： T Sheela P K Prithvi B Advaith Krishna R Abishek Department Of Information Technology Chennai India

ISBN: (数字)9798350352689

ISBN: (纸本)9798350352696

In urban environments, the safety and wellbeing of citizens depend significantly on the efficient functioning of municipal services, particularly in the management of drainage systems and manhole lids. This paper introduces Corp Connect a ground-breaking mobile application designed exclusively for Municipal Corporation workers. Corp Connect aims to enhance coordination among team members, addressing and resolving issues in their respective areas, with a primary focus on ensuring the proper closure of manhole lids and monitoring toxic gases within drainage systems. The mobile application facilitates real-time communication, enabling municipal workers to coordinate effectively. IoT-based hardware module plays a pivotal role in enhancing safety measures. This module is adept at monitoring the status of manhole lids, ensuring they are securely closed to prevent accidents. Furthermore, it employs advanced sensors to detect and monitor toxic gases within drainage systems, providing early warnings to mitigate health hazards.

关键词： Gases Urban areas Real-time systems sensor systems sensors Mobile applications Telecommunication computing

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Cutting-Edge Innovations in Biomedical Sensing Technologies for Enhanced Remote Healthcare Monitoring

Cutting-Edge Innovations in Biomedical Sensing Technologies ...

引用

Cybernation and Computation (CYBERCOM), International conference on

作者： Anusharani V M Mudhu Krishnan T. Muthamizhan Mohammad Aijaz Guna. G Department of Electronics and Instrumentation Engineering Saveetha Engineering College (Autonomous) Chennai India Department of Mechanical Engineering R.M.K. Engineering College Chennai India Department of Electrical And Electronics Engineering Sri Sai Ram Institute of Technology Chennai Tamil Nadu India Department Of EEE Kodada Institute Of Technology And Science For Women Kodad Telangana India Department of Electrical and Electronics Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai India

ISBN: (数字)9798331542344

ISBN: (纸本)9798331542351

This study discusses the state-of-the-art advancements in approaches and systems of biomedical sensing used to implement distant healthcare monitoring. The performance and accuracy of wearable and implantable sensors as well as their compatibility with mHealth Apps is assessed in the study. The study includes the processing of data collected through wearable devices, implantable sensors, and health applications to evaluate sensor reliability, data aggregation, and system efficiency. As the study has demonstrated, wearable sensors such as heart rate sensors and activity sensors, both have close to perfect accuracy of 95% and, 92% respectively. Other implantable sensors, namely the glucose and pressure sensors, exhibit high accuracy levels of 97% and 96%, respectively, and a minimal latency level. The use of mobile health applications captures the data from the sensors in a very integrated manner with accuracy levels of 92-94%. These interactive conclusions stress the opportunity bestowed by biomedical sensing technologies in advanced chronic disease, eldercare, and other healthcare system arrangements. These and other innovations in the sectors of sensors, data merging, and artificial intelligence will furthermore improve the potential of remote monitoring systems. This paper establishes a foundation for the continuous development of biomedical sensing technologies, as a key constituent of remote health monitoring systems.

关键词： Temperature sensors Technological innovation Accuracy Medical services sensor systems sensors Biomedical monitoring Wearable sensors Remote monitoring Diseases

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The Data Communication Transmitter and Receiver for a 5.8 GHz AIPAA MPT-sensor System by ICEt Technology

The Data Communication Transmitter and Receiver for a 5.8 GH...

引用

Asia-Pacific conference on Microwave

作者： Zhengdong Lin Daisuke Kobuchi Yoshiaki Narusue Tamotsu Suda Shigeo Kawasaki Graduate School of Engineering University of Tokyo Japan Space&Mobile Wireless Technology Inc. Japan

This paper presents the fabrication of an Active Integrated Phased Array Antennas (AIPAA) sensor system prototype utilizing Information, Communication & Energy transfer (ICEt) technology. Through the high-density integration of hardware components and software algorithms, this system enables adaptive adjustments in diverse scenarios, leading to optimal system performance. The proposed prototype demonstrates the capability to fulfill sensing, communication, and energy transfer tasks in various environments, including spacecraft exploration and river disaster warning systems. This research represents a significant step towards the development of advanced wireless sensor networks with ICEt technology for multifunctional applications.

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Real-Time Medical IoT for Continuous Glucose Monitoring

Real-Time Medical IoT for Continuous Glucose Monitoring

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

作者： Akanksha Goel Poi Tamrakar Mily Lal Manisha Bhende Minal Wani Saurabh Saoji Dr.D.Y. Patil School of Science & Technology Dr.D.Y. Patil Vidyapeeth Pimpri Pune India Dr.D.Y. Patil Vidyapeeth Pimpri Dr.D.Y. Patil Biotechnology and bioinformatics Institute Pune India Dept.of Computer Engineering Nutan Maharashtra Institute of Engineering and Technology Pune

ISBN: (数字)9798331539948

ISBN: (纸本)9798331539955

This research is about Continuous Glucose Monitoring (CGM) technology and its pivotal role in revolutionizing diabetes care. Leveraging data obtained from a comprehensive study focused on evaluating CGM’s efficacy in diabetes management, this study investigates the impact and potential benefits of CGM usage on patients’ health after collecting the real secondary data through online forms. It encompasses a diverse array of patient-centric variables, including medical history, medication intake, physiological parameters, and CGM-derived glucose *** integrating machine learning techniques and statistical analysis, this study aims to derive valuable insights into the interplay between CGM data patterns and real-time activities, patients’ physiological profiles, and diabetes management outcomes. The extracted features and processed data serve as a foundation for subsequent predictive modeling, classification, and regression analysis. This research aims to contribute to the expansion of knowledge regarding the effectiveness of CGM technology in diabetes treatment. By exploring correlations between CGM data, patient attributes, and clinical outcomes, this study endeavors to pave the way for personalized and optimized diabetes management strategies.

关键词： Continuous glucose monitoring Wireless sensor networks Reviews Medical services Machine learning Quality of service Feature extraction Real-time systems Diabetes Internet of Things

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Driver Assistance System by Recognizing Road Signs Using Infrastructure to Vehicle Communication

Driver Assistance System by Recognizing Road Signs Using Inf...

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International conference on advanced systems and Electric Technologies (IC_ASET)

作者： Abdelhakim Sahour Farouk Boumehrez Fouzia Maamri Hanane Djellab Abdelaali Bekhouche Department of industrial Engineering Faculty of Sciences and Technologies Laboratoire Systemes et Applications des Technologies de L'information et des Telecommunications (SATIT) ABBES Laghrour University Khenchela Algeria Department of industrial Engineering Faculty of Sciences and Technologies ABBES Laghrour University Khenchela Algeria Laboratoire des Telecommunications (LT) 8 Mai 1945 University Guelma Algeria Department of Electrical Engineering Faculty of Sciences and Technologies Tebessa University Tebessa Algeria Department of Computer Sciences ICOSI Laboratory ABBES Laghrour University Khenchela Algeria

ISBN: (数字)9798350384895

ISBN: (纸本)9798350384901

The transition towards intelligent road infrastructure in smart cities has become inevitable, necessitating the inclusion of intelligence in traffic signs. Integrating advanced technologies into smart road infrastructure helps improve road safety, traffic management and the overall efficiency of the trans-portation system. Using smart traffic signs, real-time information can be provided to drivers. Additionally, integrating sensors and connectivity into traffic signals enables communication with vehicles, facilitating active safety measures and efficient traffic flow management. In this paper, we propose a driver assistance system based on I2V (infrastructure to vehicle) communication. This system is capable of detecting and even recognizing road signs using a code. The results obtained from our proposed method demonstrate its effectiveness.

关键词： Wireless communication Wireless sensor networks Costs Smart cities Road safety Real-time systems Safety

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The sensor-Cloud System and Node Reliability Analysis 16th

The Sensor-Cloud System and Node Reliability Analysis

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16th International conference on Wireless Algorithms, systems, and applications (WASA)

作者： Jin, Lingbo Lu, Xian Shao, Fangming East China Univ Sci & Technol Dept Math Shanghai 200237 Peoples R China

ISBN: (纸本)9783030861377;9783030861360

The sensor-cloud system (SCS) integrates sensors, sensor networks and cloud systems to manage sensors, collect and process data, and make decisions based on the processed data. And SCS reliability pertains to systems that can be modeled as graphs whose nodes and/or edges have associated probabilities of being operational. In particular, we analyze the reliability of nodes or a group of nodes in the SCS network. It refers to the probability that all the target nodes can be connected. In this paper, we give the network model of k-target nodes, and its reliability based on the structure of the SCS network and the node unreliability theory. For the computational complexity of the k-target reliability calculation, we use the Monte Carlo method to estimate network reliability based on the representation of the path between two nodes in a graph by the adjacency matrix. The simulation results show that we can effectively analyze the large-scale SCS network, and the proposed algorithm has reached the ideal accuracy.

关键词： sensor-cloud system k-target reliability Node reliability Reliability estimation Monte Carlo algorithm

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An Automatic Analysis Approach of Bridge Life Based on Engineering Mathematics and LSTM

An Automatic Analysis Approach of Bridge Life Based on Engin...

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IEEE International conference on System of systems Engineering (SoSE)

作者： Ziyi Zhao Haitao Zhang School of Information Science and Engineering Lanzhou University China

ISBN: (数字)9798350365917

ISBN: (纸本)9798350365924

With the advancement of sensor networks, a variety of methods have been proposed in the field of bridge health monitoring to predict the lifespan of bridges. These methods can be divided into two categories: statistical methods and machine learning methods. statistical methods are static techniques so that fail to capture real-time changes in bridge health. machine learning methods are better to take into account the temporal variations but require high-quality datasets. In practical engineering applications, missing or excessive data often result in over-fitting or under-fitting issues. This study propose a new approach that modifies the parameter structure of the Long Short-Term Memory (LSTM) model. By changing the parameter structure from vectors to matrices, the author enables shared learning of both local and global bridge lifespans. To evaluate the effectiveness of this approach, a series of experiments were conducted on several bridges built with the ANSYS platform. This approach has several advantages over existing methods. (i) it provides a set of physical formulas to reduce data dimensionality, making it applicable to bridges with different sensor data; (ii) by using LSTM to consider the temporal characteristics of bridge health, our approach enhances the accuracy of lifespan prediction; (iii) the authors introduce a method that partitions bridges into multiple local regions for sensor data processing, enabling the acquisition of both local and global lifespan information. These features greatly improve the applicability of our approach in practical engineering scenarios.

关键词： Bridges Statistical analysis Machine learning Vectors Real-time systems Finite element analysis Modeling

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Development & Validation of Respiratory Muscle Strength Measurement System

Development & Validation of Respiratory Muscle Strength Meas...

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

作者： Arun D. Sonar Limgaokar M. Vijaykumar Sudhanshu S. Baraskar Renuka D. Sonnekar Ruchita Kotak Arya Pakare Department of Instrumentation Engineering Dr. D.Y. Patil Institute of Technology Pimpri Pune Maharashtra India Dr. D. Y. Patil College of Physiotherapy Pimpri Pune Maharashtra India

ISBN: (数字)9798331539948

ISBN: (纸本)9798331539955

A respiratory Pressure monitor is a digital monitor, which is simply structured, designed, and developed under the aegis of a pressure sensor. The maximum inspiratory and expiratory pressure is said to be the most sensitive parameter for the assessment of the respiratory strength of the human body. It is the simplest device to evaluate strength. Maximum Inspiratory Pressure (MIP) and Maximum Expiratory Pressure (MEP) is a direct measurement of strength. At present, Respiratory pressure monitoring indicative of muscle strength is the foremost part of treatment. The major aim of analyzing this is to get the actual value of MIP and MEP as an output for the age group between 20 to 40 years. The effective diagnosis of numerous victims having respiratory difficulties and different neuromuscular conditions can be done with the assistance of the proposed device. This device is functional for a quick assessment of inspiratory and expiratory pressures. Hence, it will be beneficial to medical practitioners as it will give insight into breathing problem symptoms like dyspnea and hypercapnia. It consists of a storage facility when connected to a PC. The device is calibrated against a standard U-tube manometer, reading pressures in centimeters of water column (cmH2O). A respiratory pressure monitor is a low-cost, accurate, and portable instrument, which can bring few supportive changes in the medical field.

关键词： Pressure sensors Accuracy Neuromuscular Instruments Pressure measurement Biomedical monitoring Intelligent systems Monitoring Medical diagnostic imaging Standards

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Enhancing Wireless Surveillance Robot with Real-Time Feedback with AI & IOT Integration

Enhancing Wireless Surveillance Robot with Real-Time Feedbac...

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International conference on Science Technology Engineering and Management (ICONSTEM)

作者： J. Jebastine V. Nanammal Balaji vasan R J Department of ECE Jeppiaar Engineering College Department of ECE Jeppiaar engineering college India Department of Mechanical Northeastern University Boston USA

ISBN: (数字)9798350365092

ISBN: (纸本)9798350365108

This paper presents the design and implementation of an advanced wireless surveillance robot equipped with real-time feedback capabilities. The system utilizes a combination of hardware components such as Arduino Mega, ESP32-CAM, and sensors, along with software applications including Arduino IDE, Anaconda, and Telegram, to achieve its functionality. The robot is capable of capturing high-resolution images, providing live video feedback, detecting faces using machine learning algorithms, and sending alerts in case of emergencies. The integration of IoT technologies enables remote monitoring and control of the robot's movements and functions via web-based interfaces. The paper discusses the hardware setup, software requirements, design, and implementation steps involved in building the surveillance robot. Furthermore, simulation outputs and experimental results demonstrate the effectiveness and performance of the system in real-world scenarios. Finally, the paper concludes with suggestions for future enhancements, including AI integration for object detection, improved navigation using GPS and compass, and additional features for remote control via Telegram bot. This research paper provides insights into the design, implementation, and performance evaluation of an advanced wireless surveillance robot. It serves as a valuable resource for researchers, engineers, and enthusiasts interested in exploring the potential of IoT-based surveillance systems for various applications, including security, monitoring, and remote sensing.

关键词： Wireless communication Wireless sensor networks Surveillance Streaming media Robot sensing systems Software Real-time systems

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Communications in a Trust-Triggered Cyber-Physical-Human System for Human-Robot Collaborative Manufacturing

Communications in a Trust-Triggered Cyber-Physical-Human Sys...

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Robotics and Technologies for Industrial Automation (ROBOTHIA), IEEE International conference on

作者： S. M. Mizanoor Rahman Mechanical Engineering Pennsylvania State University Dunmore USA

ISBN: (数字)9798350356755

ISBN: (纸本)9798350356762

We proposed a human-robot bidirectional trust-triggered cyber-physical-human (CPH) system framework for human-robot collaborative assembly in flexible manufacturing. For this purpose, we developed a one human-one robot hybrid cell where a human and a robot collaborated with each other to perform the assembly operation of different manufacturing components in a flexible manufacturing setup. We configured the human-robot collaborative system in three interconnected components of a CPH system: (i) cyber system (software system), (ii) physical system (the robot, sensors, hardware accessories, and the work environment), and (iii) human system (the human co-worker and the supervisor). We divided the functions of the CPH system into three modules: (i) computing, (ii) communication, and (iii) control. We used a model to compute the human and robot's bidirectional trust in each other in real-time. We implemented the proposed trust-triggered CPH framework in the human-robot collaborative assembly setup and conducted an experiment to modulate the communication methods and strategies among the cyber, physical and human components of the CPH system. The results showed that variations in communication methods significantly impacted the performance and interactions of the CPH system in terms of human-robot interaction (HRI), and task performance (efficiency and quality). The results can transform the design, development, analysis and control of human-robot collaborative systems configuring them in the form of a CPH system and thus enhance the scope, ease and effectiveness of human-robot collaborative systems for various applications such as manufacturing, construction, etc.

关键词： Service robots Collaboration Human-robot interaction Transforms Robot sensing systems sensor systems Real-time systems System software sensors Assembly

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