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2021 International conference on Automation, control and Mechatronics for Industry 4.0, ACMI 2021

作者： Al Amin, Sayed Islam, Md. Ashikul Islam, Md. Saiful Shahjalal University of Science and Technology Computer Science and Engineering Sylhet3114 Bangladesh

ISBN: (纸本)9781665438438

This project tends to develop a system for tracking the attendance of students and teachers as well as enhancing the security of an educational institution using a fingerprint module, sonar sensor, and IoT. This system includes hardware and a web server. The hardware system is able to collect attendance data and monitor the security of the classroom. The fingerprint module checks the authorization of a person and sends a command to the door locking module. The ultrasonic sensor ensures whether the person actually enters the room or not. After taking the attendance the wi-fi module sends the Id or roll to the web server. The web server stores data in the database and processes it for further action. A touch screen is used to interface with the system. © 2021 IEEE.

关键词： Cryptography

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Context-Aware Remote Patient Monitoring system with IoT and Digital Security

Context-Aware Remote Patient Monitoring System with IoT and ...

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IEEE International conference on system, Computation, Automation and Networking (ICSCAN)

作者： S. Geetha P. Karthikeyan Yughesh N Prasanth D Vishva V Department of Banking Technology Pondicherry University Puducherry India Department of Computer Science and Engineering Sri Manakula Vinayagar Engineering College Puducherry India

ISBN: (数字)9798331510022

ISBN: (纸本)9798331510039

The “Context Awar Remote Patient Monitoring system with IoT and Digital Security” revolutionizes continuous healthcare by integrating IoT technology, sensors, and cloud computing to address the growing need for effective at-home patient monitoring. This system ensures vital health data is continuously recorded, analyzed, and made available to healthcare professionals in real-time. At its core is the Node MCU microcontroller, which connects key sensors to a cloud-based platform. The SPO2 sensor measures blood oxygen saturation to detect issues like hypoxemia, while the body temperature sensor tracks core temperature, signaling possible infections or fevers. An environmental temperature sensor monitors ambient conditions, crucial for patients with chronic illnesses or weakened immunity. Data is securely transmitted to the cloud for analysis using machine learning algorithms. These tools cross-reference vital and environmental data to detect health anomalies and predict early illness onset. For example, a drop in oxygen levels combined with a fever triggers alerts for potential respiratory infections, empowering healthcare providers to intervene promptly and prevent complications. This system's predictive capabilities and real-time alerts ensure timely responses to critical thresholds, enhancing patient safety and reducing hospital admissions. A user-friendly interface allows patients and caregivers to monitor health trends via mobile and web applications. By enabling continuous, remote monitoring, this solution benefits patients with chronic conditions, the elderly, and post-surgery individuals, providing peace of mind and reducing the workload on healthcare facilities. It promotes high-quality care from the comfort of patients' homes, aligning with modern telehealth needs. In conclusion, the “Context Awar Remote Patient Monitoring system with IoT and Digital Security” is a transformative tool for remote care, combining advanced sensor technology, real-time analytics,

关键词： Temperature sensors Temperature measurement Patient monitoring Cloud computing Medical services Real-time systems sensor systems sensors Security Biomedical monitoring

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An IoT-Based Decision Support system for Real-Time Vehicle Maintenance Scheduling in the Fourth Industrial Revolution

An IoT-Based Decision Support System for Real-Time Vehicle M...

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Informatics International conference (BTS-I2C), Beyond Technology Summit on

作者： Diky Siswanto Akhmad Farid Gigih Priyandoko Nanang Aris Wahyudi Dept. of Electrical Engineering Universitas Widyagama Malang Malang Indonesia Dept. of Mechanical Eng. Universitas Widyagama Malang Malang Indonesia

ISBN: (数字)9798331508579

ISBN: (纸本)9798331508586

The Fourth Industrial Revolution (4IR) has transformed manufacturing and maintenance through advanced technologies, including the Internet of Things (IoT), cloud computing, and Decision Support systems (DSS). In vehicle maintenance, IoT enables real-time data collection from Electronic control Units to facilitate predictive and periodic maintenance, enhancing reliability and efficiency. This study develops an IoT-based DSS for periodic vehicle maintenance, focusing on data from vehicle sensors to optimize maintenance intervals based on mileage and component conditions. The system was designed using a web server and database infrastructure, integrated with Application Programming interfaces to enable real-time communication between the vehicle's sensors and a web dashboard. The dashboard displays component statuses and provides maintenance recommendations. Testing involved function and performance evaluations on data communication between an OBD-II scanner, IoT gateway, and web dashboard. The system reads real-time vehicle data effectively, provides maintenance recommendations based on pre-set DSS rules, and updates component status on the web interface. Tests confirmed synchronization between sensor readings and displayed data, with a response delay under 500 ms, meeting real-time system criteria. The IoT-based DSS for vehicle maintenance proved effective in automating maintenance scheduling, providing users with timely and accurate recommendations. This system promotes efficient and proactive vehicle maintenance, aligning with 4IR goals by enhancing operational reliability through real-time data integration and automated decision support.

关键词： Decision support systems Job shop scheduling Databases Data integration Real-time systems sensor systems Maintenance Fourth Industrial Revolution Delays Internet of Things

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Robust Design of Floor Cleaning Robot with Smart Power Handling Abilities Based on Solar Assisted Renewable Energy Sources

Robust Design of Floor Cleaning Robot with Smart Power Handl...

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Electronics and Sustainable Communication systems (ICESC), 2020 International conference on

作者： Kuppani Sathish Ankita Dhanke R. Mohandas Ankush Madhukar Gund Kiruthiga R Jarabala Ranga Department of computer science and engineering Tirumala Engineering college Narsaraopet Sir J.J. School of Art Mumbai MH India Department of ECE Chennai Institute of Technology Chennai Department of Instrumentation Bharati Vidyapeeth College Of Engineering Navi Mumbai Department of AIDS Bannari Amman Institute of Technology Ramachandra college of engineering Eluru AP

ISBN: (数字)9798350379945

ISBN: (纸本)9798350379952

This research study presents the design and implementation of a floor cleaning robot equipped with smart power handling abilities and powered by solar-assisted renewable energy sources. The robot integrates advanced technologies, including sensors, navigation systems, and cleaning mechanisms, to autonomously navigate indoor environments, detect and remove dirt and debris from floor surfaces, and optimize energy consumption. Key components of the robot include a durable chassis with omnidirectional wheels for maneuverability, a comprehensive array of sensors for obstacle detection and floor analysis, and a multifunctional cleaning mechanism comprising brushes, vacuum systems, and microfiber mops. Solar panels mounted on the robot's surface harness renewable solar energy, supplementing a rechargeable lithium-ion battery pack with a smart power management system to ensure continuous operation. Additionally, the robot features wireless connectivity for remote control and monitoring, a user-friendly interface for intuitive operation, and safety mechanisms to protect both the robot and its surroundings. Through its innovative design and sustainable energy approach, the proposed floor cleaning robot offers efficient cleaning performance while minimizing environmental impact, enhancing user convenience, and contributing to the advancement of autonomous cleaning technologies.

关键词： Renewable energy sources Navigation Power system management Robot sensing systems Cleaning sensor systems Mobile robots Floors Intelligent sensors sensor arrays

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Experimental Investigation of Rule-Based control Strategies for Hybrid Heat Pump systems Using the Smart Grid Ready interface 35

Experimental Investigation of Rule-Based Control Strategies ...

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35th International conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy systems, ECOS 2022

作者： Göbel, Stephan Vering, Christian Müller, Dirk Institute for Energy Efficient Buildings and Indoor Climate Aachen Germany

ISBN: (纸本)9788774756989

In the building energy sector, electrically driven heat pump systems significantly reduce greenhouse gas emissions. To accelerate the replacement, both the capital and the operating costs are decisive for a purchase decision. Besides lowering capital costs by, i.e., increasingly advanced production processes, self-produced PV electricity reduces operating costs. This work quantifies the impact of self-produced PV electricity utilizing a rule-based system controller through an experimental investigation in a hardware-in-the-loop approach. The case study investigates control strategies on a gas hybrid compact unit consisting of an air-to-water heat pump, a gas boiler, a buffer tank, and a domestic hot water tank. A single-family house and electrical components (PV, battery) are simulated in the hardware-in-the-loop approach to calculate seasonal economic and energetic values. In addition to a typically static bivalence point, the system controller enables a time-varying bivalence point. Therefore, the case study uses the widely used Smart Grid Ready interface: The system controller chooses between the heat pump and the gas condensing boiler to supercharge the buffer and domestic hot water tanks. For the single-family house supply, the system controller reduces the operating costs for heating and domestic hot water up to 30 % compared to the internal compact unit controller. In addition, the time-varying bivalence point control strategy outperforms the other controller configurations in terms of operating costs. The reasons for the significant influence are the improved self-consumption of PV electricity. Thus, the controller increases self-consumption up to 35 % due to the thermal storage supercharging using electrical PV electricity. © Proceedings of ECOS 2022 - 35th International conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy systems.

关键词： controllers

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Remote Monitoring of Low Voltage Opl With Power Theft and Fault Detection Using Wsn

Remote Monitoring of Low Voltage Opl With Power Theft and Fa...

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Technological Advancements in Computational Sciences (ICTACS), International conference on

作者： A.F. Khayrullaev Department of Mobile Communication Technologies Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Tashkent Uzbekistan

ISBN: (数字)9798350387490

ISBN: (纸本)9798350387506

This research focuses on the development of a comprehensive system for the remote monitoring of low voltage overhead power lines (OPL), incorporating both power theft and fault detection mechanisms through Wireless sensor Networks (WSN). The primary objective is to enhance the efficiency and reliability of power distribution networks by implementing a robust monitoring solution. The methodology involves deploying a network of wireless sensors strategically along the power lines to continuously collect data on voltage, current, and other relevant parameters. advanced algorithms are employed to analyze the data, enabling the identification of power theft incidents and the prompt detection of faults. The system leverages WSN technology to facilitate real-time communication between the sensors and a central monitoring station, enabling remote surveillance and control. The results highlight a significant improvement in the overall integrity of the power distribution system, with a notable reduction in power theft instances and a quicker response to faults.

关键词： Wireless communication Wireless sensor networks Low voltage Fault detection Surveillance Electrical fault detection sensor systems Real-time systems sensors Remote monitoring

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Triboelectric-Inertial Sensing Glove Enhanced by Charge-Retained Strategy for Human-Machine Interaction

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advanced SCIENCE 2024年第3期12卷 e2408689页

作者： Yang, Bo Cheng, Jia Qu, Xuecheng Song, Yuning Yang, Lifa Shen, Junyao Bai, Ziqian Ji, Linhong Tsinghua Univ Dept Mech Engn State Key Lab Tribol Adv Equipment Beijing 100084 Peoples R China Beijing Lvkedu Sci & Technol Co Ltd Beijing 100190 Peoples R China China Univ Geosci Beijing Sch Engn & Technol Beijing 100083 Peoples R China

As technology advances, human-machine interaction (HMI) demands more intuitive and natural methods. To meet this demand, smart gloves, capable of capturing intricate hand movements, are emerging as vital HMI tools. Moreover, triboelectric-based sensors, with their self-powered, cost-effective, and material various characteristics, can offer promising solutions for enhancing existing glove systems. However, a key limitation of these sensors is that charge leakage in the measurement circuit results in capturing only transient signals, rather than continuous changes. To address this issue, a charge-retained circuit that effectively prevents triboelectric signal attenuation is developed, enabling accurate measurement of continuous finger movements. This innovation forms the foundation of a highly integrated smart glove system, enhancing HMI functionality by combining continuous triboelectric signals with inertial sensor data. The system showcases a diverse range of applications, including complex robotic control, virtual reality interaction, smart home lighting adjustments, and intuitive interface operations. Furthermore, by leveraging artificial intelligence (AI) techniques, the system achieves accurate recognition of complex sign language with an impressive 99.38% accuracy. This work presents a charge-retained approach for continuous sensing with triboelectric-based sensors, offering valuable insights for developing future multifunctional HMI and sign language recognition systems. The proposed smart glove system, with its dual-mode sensing and AI integration, holds great potential for revolutionizing various domains and enhancing user experiences.

关键词： artificial intelligence gesture recognition human-machine interaction (HMI) signal processing smart glove triboelectric sensor

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Development of interface for Turning Motion Assist of Power Assist system using 3D sensor 18

Development of Interface for Turning Motion Assist of Power ...

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IEEE International conference on Mechatronics and Automation (IEEE ICMA)

作者： Yamada, Hironao Ikeda, Takahiro Ueki, Satoshi Ootsubo, Katsutoshi Gifu Univ Dept Mech Engn 1-1 Yanagido Gifu Gifu 5011193 Japan Kinjo Gakuin Univ Dept Human Life & Environm Moriyama Ku 2-1723 Omori Nagoya Aichi 4638521 Japan

ISBN: (纸本)9781665441018

In this research, we aimed to improve the operability of industrial power assist devices. In the previous research, we tried to improve the operability from the two viewpoints of the assist time of the turn assist system and the brake start time. This system was premised on working within a fixed working time. Also, the physical and mental burden caused by braking faster than the operator's intention was a problem. In this research, in order to solve these problems, we devised a new operation interface which measures human motion by using a 3D sensor ("Kinect" manufactured by Microsoft) to power-assist. Effectiveness was verified by subject experiment using the system implementing this method.

关键词： Power Assist system Turning Motion Assist Operability Improvement 3D sensor

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Study of IOT Enabled Water Logging Detection and control in Drainage system for Smart City

Study of IOT Enabled Water Logging Detection and Control in ...

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Big Data Analytics in Bioinformatics (DABCon), International conference on

作者： Subhalaxmi Chakraborty Ankan Sarkar Gourab Das Shreya Chatterjee Shamik Kanjilal Pritam Kundu Department of CST & CSIT Institute of Engineering and Management (IEM) University of Engineering and Management Kolkata India Computer Science and Technology University of Engineering and Management Kolkata Kolkata India Computer Science and Information Technology University of Engineering and Management Kolkata Kolkata India AI.Cloud (AWS) Tata Consultancy Services Limited Kolkata India

ISBN: (数字)9798350378047

ISBN: (纸本)9798350378054

The Intelligent Urban Drainage system (IUDS) is a cutting-edge infrastructure designed for smart cities to efficiently manage stormwater runoff, wastewater, and flood control, utilizing the ESP32 controller board with Wi-Fi and Bluetooth connectivity to control and monitor the system. The Blynk server cloud platform enables remote monitoring and data analysis, providing real-time insights into system performance. The IUDS features a suite of sensors, and MQ2 natural gas and smoke detector sensor, which transmit data to the ESP32 board, activating the servo motor actuator to control drainage gates, valves, and pumps, ensuring optimal water flow, and minimizing flood risk. The automation control of the system and monitoring capabilities enable real-time water level monitoring and predictive maintenance, optimized drainage performance and reduced flood risk, enhanced water quality and environmental sustainability, and remote monitoring and data analysis through the Blynk server cloud platform, making the IUDS a resilient, efficient, and adaptable drainage system for smart cities, leveraging advanced technologies and IoT connectivity to create a sustainable and futuristic urban infrastructure.

关键词： Cloud computing Data analysis Smart cities sensor phenomena and characterization Real-time systems Servers Floods Internet of Things Remote monitoring Gas detectors

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Improved Accuracy through Optimised Projectile Flight control

Improved Accuracy through Optimised Projectile Flight Contro...

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Communications, Information, Electronic and Energy systems (CIEES), International conference on

作者： Yerkebulan Nurgizat Arman Uzbekbayev Kuanysh Alipbayev Gani Sergazin Nursultan Zhetenbayev Dept. of Electronic Engineering Almaty University of Power Engineering and Telecommunications Named Gumarbek Daukeyev Almaty Kazakhstan Satbayev University Almaty Kazakhstan Vice-Rector for Science Almaty University of Power Engineering and Telecommunications Named Gumarbek Daukeyev Almaty Kazakhstan Vice-Rector for Science Academy of Logistics and Transport Almaty Kazakhstan

ISBN: (数字)9798350352863

ISBN: (纸本)9798350352870

This paper discusses the design and implementation of an advanced on-board control system for precise missile trajectory correction. It examines the architecture of the system, detailing the integration of sensors and control mechanisms for real-time adjustments. The 4th order Runge-Kutta method was chosen for its efficiency in solving the missile trajectory equations, ensuring accuracy under complex conditions. A comprehensive mathematical model was developed to account for drag, gravity and wind loads. Flight simulation in MATLAB provided a robust testing environment, with results demonstrating the system's effectiveness in minimizing trajectory deviations and improving targeting accuracy in combat scenarios. These results highlight the potential of the control system to meet defense accuracy requirements.

关键词： Missiles Accuracy Projectiles Atmospheric modeling control systems Mathematical models sensor systems Trajectory sensors Testing

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