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Research on Anti-Burst Technology of Urban Underground Cable Based on distributed Vibration Fiber Sensing and Digital Twin 6

Research on Anti-Burst Technology of Urban Underground Cable...

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2023 IEEE 6th international conference on Information Systems and computer Aided Education, ICISCAE 2023

作者： Li, Kaipeng Chen, Zhou Wang, Yunge Wu, Xingxiao Wang, Tao Xiangshan Electric Power Industry Co. Ltd Ningbo China State Grid Zhejiang Electric Power Co. Ltd. Xiangshan County Power Supply Company Ningbo China

ISBN: (纸本)9798350313444

This project plans to develop a distributed fiber optic vibration sensor and digital twin technology based on the external rupture detection technology of optical cable. In this method, a high voltage pulse is applied to the cable to cause partial discharge in the defective part of the cable and then generate the vibration signal of the cable. In this way, the real-time monitoring and early warning of external fracture damage in the common trench structure can be realized. The distributed fiber optic vibration sensor is used to detect the current along the cable direction to locate the damaged location. The proposed method is used to detect the fault condition on the line. The test proves that the device can monitor the fault situation of multiple optical cable lines in real time, and determine the fault point. © 2023 IEEE.

关键词： cable digital twins external broken fault monitoring system Vibration fiber sensing

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Connecting Cloud Computing and Machine Learning through Functional Situation-awareness: A User-centric Smart monitoring Application

Connecting Cloud Computing and Machine Learning through Func...

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1st IEEE international conference on Software Services Engineering (IEEE SSE)

作者： Millan, Miguel Liu, Ruochen Ming, Hua Oakland Univ Dept Comp Sci & Engn Rochester MI 48307 USA

ISBN: (纸本)9798350340754

For many parents, the time between their children leaving home and the ensuing arrival at school is a grey area with uncertainty. The need of being aware of the highly critical safetyness situations there- fore arises. Situation-aware computing serves as a promising technique, both theoretically and pragmatically, to bring smart monitoring to the field. It seamlessly integrates the benefits offered by machine learning techniques and cloud computing technologies with an emphasis on user centric situations. In this paper we present a real world smart monitoring application: its underlying model, its human computer interactive design and design principles, its support from the theory and practice of situation-awareness computing, as well as its implementation details and viability test. This application also serves the purpose of elaborating important attributes of safety-aware situation computing, with a strong linkage to safety critical human computer interaction. The goal of this application is to accurately recognize and identify the faces of children, under relevant environmental contexts, when they enter or exit a bus, and then promptly alert their parents. Two main components, one being a distributed bus subsystem and the other being a central cloud-based subsystem, are built into this application highlighting lightweight to effectively serve the users. The novelty of our approach lies in the fact that we deeply embrace functional programming paradigm to tackle the specification of the two subsystems at the design level with rigorous computational semantics, which in turn contributes to the quality implementation of the lower level details.

关键词： Situation Situation-awareness Human computer Interaction intelligent monitoring Machine Learning Cloud Computing

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The Application of Convolutional Neural Network-Based Biological Radar Signal Classification Algorithm in Multi-target Vital Sign Detection 5th

The Application of Convolutional Neural Network-Based Biolog...

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5th international conference on Real Time intelligent Systems, RTIS 2023

作者： Yuan, Hongbin Yuan, Chenyao Cao, Huiqun School of Telecommunications and Intelligent Manufacturing Sias University Henan Zhengzhou China School of Computer and Software Engineering Sias University Henan Zhengzhou China Academic Affairs Office of Kaifeng Modern Technology Secondary Vocational and Technical School Henan Kaifeng China

ISBN: (纸本)9783031558474

In recent years, with technological advancements, biological radar has been widely used in various environments for safety monitoring, health monitoring, environmental pollution control, air pollution monitoring, water pollution monitoring, air quality monitoring, food safety monitoring, water source pollution monitoring, and more. We can effectively separate and suppress motion noise through PCA technology while utilizing GoogLeNet technology to predict the number of moving targets in different environments accurately. Additionally, we introduce a novel Differential-Cross-Multiplication and State Space Method (DACM-SSM) to better explore and identify human identities. Experimental results demonstrate that this new algorithm significantly improves operational efficiency, resists data loss caused by random shifts in breathing and heartbeat, and mitigates interference from breathing harmonics. It reduces the complexity of current algorithms and saves more computational power, leading to more precise conclusions. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： State space methods

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Exploring Advanced Smart Sensing Technology for Enhanced Drip Irrigation Management in Greenhouses

Exploring Advanced Smart Sensing Technology for Enhanced Dri...

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2024 international conference on Advances in Computing, Communication, Electrical, and Smart Systems, iCACCESS 2024

作者： Raro, Edralin R. Palaoag, Thelma D. College of Agriculture and Natural Resources Camarines Norte State College Camarines Norte Daet Philippines College of Information Technology and Computer Science University of the Cordilleras Gov. Pack road Baguio City Philippines

ISBN: (纸本)9798350350289

Drip irrigation systems have become an integral part of modern greenhouse farming practices as they help irrigate plants effectively and also supply plants with water and nutrients in precise amounts. Nevertheless, these technologies have to be perfectly adjusted to efficiently utilize water and boost crop yield. This research addresses two issues: firstly, the capacity of the sensing technology innovations for greenhouse drip irrigation to be more efficient, and secondly, sustainability. The study looked for several types of sensors and materials that can be used in the construction of the system section that take into consideration the information from the intelligent sensors and the monitoring of environmental parameters. The methodology used in the study was a methodological review. This paper will discuss the literature dealing with different mechanisms, tools, and materials to control environmental factors that could affect the drip irrigation system in greenhouses. The literature review presented several types of sensors, including temperature sensors, soil moisture sensors, and humidity sensors, which are the key components for intelligent greenhouse drip irrigation systems operating correctly. Embedding these sensors and materials in a comprehensive system has exhibited a positive effect on water consumption reduction and nutrient uptake by plants. The results of the discussion stress the high sensitivity to the choice of materials and sensors which consequence can be the deployment of the system for a long time and its high performance. Looking at the results, it is accordingly determined after the fact that sensor type and sensor materials constitute an essential part that would aid in achieving the best results with smart greenhouses through drip irrigation systems. These technologies ensure precise environmental monitoring and resource management, offering a pathway to sustainable and high-yield agriculture. The findings collected from this literature r

关键词： Greenhouses

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River Turbidity monitoring Based on Semi-supervised Transfer Learning 9th

River Turbidity Monitoring Based on Semi-supervised Transfe...

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9th international Forum on Digital Multimedia Communication, IFTC 2022

作者： Xie, Shuangyi Liao, Xin Bai, Ruxue Zhou, Chengxu Gu, Ke Faculty of Information Technology Beijing University of Technology Beijing China Engineering Research Center of Intelligent Perception and Autonomous Control Ministry of Education Beijing China Beijing Laboratory of Smart Environmental Protection Beijing China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing China Beijing Artificial Intelligence Institute Beijing China School of Electronic and Information Engineering Liaoning University of Technology Liaoning China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian China

ISBN: (纸本)9789819908554

River turbidity is an important index to evaluate the quality of water environment, which is of great significance to environmental monitoring. Most of the existing monitoring methods rely on turbidity labels measured by river water quality monitoring stations. However, due to the limitation of spatial distribution of water quality monitoring stations, those turbidity data outside the monitoring range are difficult to obtain and the correlation of turbidity data between monitoring stations is poor. Using such data directly might weaken the generalization ability that the model has. In this paper, we propose a new river turbidity monitoring model based on semi-supervised transfer learning (RTMM-SSTL) to solve these problems. First, in the pre-training stage, we innovatively propose a semi-supervised training method combined with big data with pseudo labels for river turbidity monitoring to solve the problem of weakened model generalization ability. Then, the model is fine-tuned using GEE hyper spectral data with ground truth to further improve the monitoring capability of the model. Experiments conducted on the river turbidity monitoring task demonstrate that the proposed model is superior to the advanced learning models, and further proves that our semi-supervised transfer learning method performs better than the state-of-the-art supervision models. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Rivers

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Sentinel Exploring the Effectiveness of Autonomous IoT Based Security Robots in Enhancing Surveillance 1

Sentinel Exploring the Effectiveness of Autonomous IoT Based...

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1st international conference on Advanced Computing and Emerging Technologies, ACET 2024

作者： Kumar, Ajitesh Kumari, Mona Computer Engineering and Applications Gla University Mathura India

ISBN: (纸本)9798350367720

This paper introduces an IIoT driven intelligent Security based robot "SENTINEL", leveraging an Arduino Uno, camera unit, ultrasonic sensor, motor controller, motors,The envisioned robot is engineered to autonomously survey a specified area, capturing images and videos with the camera unit. The ultrasonic sensor identifies obstacles to avert collisions, alerting the user. The robot maneuvers and alters its course through the motor controller and motors, managed by an Arduino Uno. This system finds utility in various domains, including surveillance and security, enhancing security-based system. It is economically developed, broadening its accessibility for future used. The system's deployment has undergone testing, demonstrating proficiency in recognizing and responding to environmental cues. A web- based interface facilitates remote control and monitoring by users. © 2024 IEEE.

关键词： Ultrasonic sensors

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Temperature sensing characteristics research based on FBG sensor 4

Temperature sensing characteristics research based on FBG se...

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4th international conference on computer Graphics, Image, and Virtualization, ICCGIV 2024

作者： Juan, Wang Xi, Zhang Zhentao, Zhang School of Information Engineering Jilin Vocational College of Industry and Technology Jilin Jilin132013 China School of Optoelectronic Engineering Changchun University of Science and Technology Jilin Changchun130012 China College of Information and Control Engineering Jilin Institute of Chemical Technology Jilin Jilin132013 China

ISBN: (纸本)9781510683242

In the actual production operation, it is important to monitor the environmental temperature. Aiming at the problems of complex structure and electromagnetic interference of traditional electric sensors, a temperature sensor based on fiber Bragg grating (FBG) is designed to monitor the ambient temperature. The response model between the wavelength variation of FBG center and temperature is established by the neural network fitting tool. The experimental results show that the model has a minimum root-mean-square error of 0.83426, and the overall correlation between the predicted data and the real data reaches 0.98512, which meets the actual monitoring requirements. © 2024 SPIE.

关键词： Fiber Bragg gratings

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IoT-Driven Smart Car Parking System: Optimizing Urban Mobility and Reducing environmental Impact 3

IoT-Driven Smart Car Parking System: Optimizing Urban Mobili...

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3rd international conference on intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Tanvi, Y. Lakshmi Sowmya, B. Prashanth, B.N. Rajagopal, Shinu M. Dept. of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India Dept. of Electronics and Communication Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India Dept. of Mechanical Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

The rapid increase in urban vehicle numbers has significantly worsened traffic congestion, particularly in public parking spaces, where conventional parking systems often prove inefficient, leading to wasted time, excessive fuel consumption, and increased environmental pollution. A Smart Car Parking System is proposed to address these challenges by integrating advanced technologies, including the Internet of Things (IoT), to optimize parking operations. The system employs sensors embedded in parking spaces to detect vehicle presence and provide real-time data on availability. This enables drivers to locate free parking spaces efficiently, improving traffic flow. Additionally, the system offers valuable insights to city planners and facility managers, supporting optimal space allocation and dynamic pricing models. By reducing vehicle idling and unnecessary driving while searching for parking, the system helps minimize emissions, contributing to environmental sustainability. The study builds an automated smart car parking system for parking slot monitoring and gate control. The system ensures correct slot occupancy reading, status displayed in real time, and smooth operation of an opening and closing system. It manages additional features such as real-time sensor calibration and effective gate control with a high degree of accuracy and accountability. The proposed Smart Car Parking System represents a key innovation in urban mobility, offering a user-friendly, efficient, and ecofriendly solution to one of the most persistent challenges faced by modern cities. © 2025 IEEE.

关键词： Traffic congestion

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Empirical Evaluation of Internet of Things Assisted Fire Fighting Robotic Design Based on intelligent Sensors Association 5

Empirical Evaluation of Internet of Things Assisted Fire Fig...

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5th international conference on Electronics and Sustainable Communication Systems, ICESC 2024

作者： Mahitha, T. Suneel, Sajja Begum, M. Amina Pimo, S. John Swapna, B. Revathi, R. Saveetha College of Liberal Arts and Sciences Simats Department of Computer Science India Hyderabad Telangana Dundigal500043 India Oxford College of Engineering Department of Ece Tamilnadu Venmani India St. Xavier's Catholic College of Engineering Computer Science and Engineering Nagercoil India Ece Dr Mgr Educational and Research Institute Chennai India Karpagam Academy of Higher Education Department of Computer Science Coimbatore India

ISBN: (纸本)9798350379945

This research work presents the design and implementation of an Internet of Things (IoT) assisted fire fighting robotic system based on intelligent sensors association. The system integrates various components including intelligent sensors for detecting fire, smoke, temperature changes, and gas emissions, Arduino microcontrollers for data processing and control logic execution, Wi-Fi communication modules for remote monitoring and data exchange, and actuators for physical motion and manipulation tasks. Through the integration and coordination of these components, the firefighting robot achieves autonomous capabilities in detecting, localizing, and responding to fire incidents effectively. The intelligent sensors, including the MQ-2 Gas Sensor, TMP36 Temperature Sensor, MQ-7 Carbon Monoxide Sensor, and MLX90614 Non-Contact Infrared Temperature Sensor, provide real-time environmental data inputs to the Arduino Uno microcontroller, which interprets sensor readings, executes decision-making algorithms, and orchestrates responses. Leveraging bidirectional Wi-Fi connectivity facilitated by the ESP8266 Wi-Fi Module, the system enables remote monitoring and data exchange, empowering operators with situational awareness for informed decision-making. Actuators such as DC Gear Motors and SG90 Micro Servo Motors translate digital commands into mechanical motion and manipulation, enabling the robot to navigate through fire-affected environments, manipulate fire fighting tools, and execute precision fire fighting maneuvers. This abstract presents a comprehensive overview of the IoT-assisted fire fighting robotic system, highlighting its autonomous capabilities, integration of components, and potential for enhancing fire fighting efficiency and safety. © 2024 IEEE.

关键词： Fire extinguishers

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intelligent Irrigation System with Multiple Nodes and Smart Sensors Using IoT For Agricultural Field 2

Intelligent Irrigation System with Multiple Nodes and Smart ...

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2nd international conference on computer Vision and Internet of Things, ICCVIoT 2024

作者： Jothi, M. Srinevasan, M. Manicka Senthamarai, N. Balajee, B. Amarnath Prabhakaran, A. Naveen, S. Sanjai, D. Shrinivas, J.P. Santhosh, M. Dhanalakshmi Srinivasan College of Engineering Coimbatore India Department of ECE Nandha Engineering College Erode India Department of CSE Velalar College of Engineering and Technology Erode India Department of EEE Al-Ameen Engineering College Erode India Department of BME Nandha Engineering College Erode India

ISBN: (纸本)9781837242672

Agriculture is the primary line of occupation for most of the Indian peoples. In India about 58% of people are working on agricultural as it is their main source of income. But the sane place farmers are facing the issues like irrigation, lack of modernization and surface water overexploitation. The proposed automated irrigation system integrates multiple nodes equipped with NPK sensors, Node MCU, and PIC microcontrollers to monitor soil moisture and nutrition levels in real-time. Utilizing Internet of Things (IoT) technology, the system enables remote monitoring and control using Thingspeak. The NPK sensors provide accurate data on soil nutrient content, allowing for precise and targeted fertilization. To prevent well motor pump dry-run and enhance system efficiency, the current sensor attached to power cable of well motor pump. The system consists of a network of nodes purposefully placed across the agricultural field, each equipped with smart sensors capable of monitoring crucial environmental vales like soil moisture level, atmospheric temperature value, and humidity level. Furthermore, the system offers a user-friendly interface accessible through web or mobile applications, allowing farmers to monitor and control the irrigation process remotely. The IoT based intelligent irrigation system is not only enhancing water efficiency but also contributes to sustainable agriculture practices. By reducing water consumption and minimizing environmental impact, the proposed system aims to improve overall crop yield and foster a more resilient and adaptive approach to modern farming. As technology continues to evolve, integrating intelligent solutions in agriculture becomes crucial for ensuring food security and sustainability in the face of changing global conditions. © The Institution of Engineering & Technology 2024.

关键词： Soil moisture

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