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Illuminating the Future: A Smart Street Light controlling and monitoring System Using Internet of Things Enabled Smart Sensors 9

Illuminating the Future: A Smart Street Light Controlling an...

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9th international conference on Science, Technology, Engineering and Mathematics, ICONSTEM 2024

作者： Sujatha, V. Sridevi, V. Sumitha, S. Vidhya, N. Amirtha, M. Dakshinamoorthi, D. S.A. Engineering College Department of Master of Computer Applications Chennai India

ISBN: (数字)9798350365092

ISBN: (纸本)9798350365092

The Smart Street Light controlling and monitoring System using Internet of Things (IoT) presents an innovative approach to urban lighting management, aiming to enhance energy efficiency, improve safety, and streamline maintenance operations. This system integrates IoT technology with advanced sensors, a central control unit, and intelligent algorithms to automate street lighting based on real-time environmental conditions and user-defined parameters. Through a network of interconnected devices, the system continuously monitors ambient light levels and detects motion to dynamically adjust street lighting intensity. Additionally, remote accessibility enables authorities to monitor system performance, adjust lighting schedules, and receive alerts for maintenance needs or malfunctions. By optimizing energy consumption and improving visibility, this system contributes to sustainable urban development and enhances overall quality of life in urban areas. © 2024 IEEE.

关键词： Energy efficiency

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Agents for automatic control of sensors using Multi-Agent Systems and Ontologies: A scalable IoT architecture 15

Agents for automatic control of sensors using Multi-Agent Sy...

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15th international conference on Ambient Systems, Networks and Technologies Networks, ANT 2024 / The 7th international conference on Emerging Data and Industry 4.0, EDI40 2024

作者： Curasma, Herminio Paucar Pan, Che Fan Estrella, Julio Cezar Av. Trabalhador Sao Carlense Sao Carlos Brazil

Research efforts focused on Smart Building (SB) development have concentrated on the automation of resources within intelligent environments towards an enhanced experience for occupants. The process converts everyday manual activities into automatic actions, such as turning on lights upon entering a room, activating air conditioning on hot days, and switching off a television when there are no viewers. This article addresses a case study on context-aware monitoring conducted at the Laboratory of distributed Systems and Concurrent Programming (LaSDPC) of the University of Sao Paulo. The focus is on a Fog layer of the IoT operating closer to sensors and reducing communication delays. Concepts of context-aware systems, multi-agent systems, ontology, and MQTT protocol were considered for the implementation of the intelligent system on-site. The programming languages used were Java and Python, leveraging libraries and frameworks dedicated to such technologies. A scalable system that does not compromise computational resource use and maintains responsiveness with low data exchange latency is proposed and tests checked the intelligent behavior of the laboratory under specific conditions using temperature, luminosity, and presence of a person as parameters. © 2024 Elsevier B.V.. All rights reserved.

关键词： Multi agent systems

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A Review on the Use of Smart Agriculture Systems to Protect Crops 3

A Review on the Use of Smart Agriculture Systems to Protect ...

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3rd international conference on Electronics and Renewable Systems, ICEARS 2025

作者： Kumar, Gulshan Gourshettiwar, Palash Suman, Saurabh Kumar, Shravan Kumar, Dhiraj Raushan, Rahul Faculty of Engineering and Technology Department of Computer Science and Design Maharashtra Wardha India Faculty of Engineering and Technology Department of Computer Science and Medical Engineering Maharashtra Wardha India

ISBN: (纸本)9798331509675

Smart agriculture systems leverage the possibilities offered by cutting-edge technologies such as IoT, AI, and remote sensing to revolutionize conventional farming by enhancing resource utilization, production, and crop damage mitigation. Real-time monitoring of soil and crop health, predictive analytics, pest control, and precision irrigation measures are all enabled by these systems. They are able to address major Indian agriculture issues, consequently boosting yield and profitability and promoting environmental sustainability. The largescale deployment of intelligent agriculture systems will change the agriculture landscape in India and will assure long-term food security for an ever-growing population. Challenges include adequate research and future studies in order to better install and achieve smart agricultural systems to protect crops. intelligent agriculture involves all advanced research, including science and innovations, in national development through space technologies to enhance soil quality, conserve water, and facilitate agriculture information. Space ventures will undergo improved modernization through the introduction of crop sprayers, precision gene editors, epigenetics, big data analytics, IoT, wind and photovoltaic smart energy, AI-enabled robotic applications, and wide-scale desalination technologies. Implementing digital farming systems in developing economies will help their sectors as 85 percent of the global population is set to live in developing countries by 2030. Automation will prove to be necessary since food scarcity is on the rise along with resource wastage. control strategies such as the IoT, aerial imagery, machine learning, and artificial intelligence will boost production and prevent soil degradation. These advanced technologies are also able to alleviate such issues as plant disease detection, pesticide management, and water application. The introduction of the Internet of Things in the agricultural research world has started

关键词： Smart agriculture

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An intelligent Dipsomania Face Detection Model using Spatial and Spectral Graph Neural Network 5

An Intelligent Dipsomania Face Detection Model using Spatial...

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5th international conference on Smart Electronics and Communication, ICOSEC 2024

作者： Madhusundar, N. Surendran, R. Johnpaul, S. Appathurai, K. Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Chennai India Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of Computer Science and Engineering Chennai602105 India Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College Department of Information Technology Chennai India Kg College of Arts and Science Department of Computer Technology Coimbatore India

ISBN: (纸本)9798331504403

Dipsomania, alcohol addiction that is out of control poses serious problems for public health. Conventional techniques for identifying drunk people depend on behavioral indicators, which are easily manipulated. This article suggests a novel method by employing spectral and spatial graph neural networks (SS-GNN) to create an intelligent face identification model for dipsomania. Facial traits are stored as nodes and edges in a graph structure, and the model uses the special powers of graph neural networks to process and analyses these features. The SS-GNN model that has been suggested is trained on a wide range of facial image datasets that include both drunken and sober states. Advanced methods of data augmentation and domain adaptation are utilized to enhance the model's resilience and applicability to various demographics and environmental circumstances. By combining spectral and spatial information into a graph-based framework, dipsomania-related facial traits can be better understood. This innovative method provides a noninvasive, dependable means of early diagnosis and intervention in cases of alcohol addiction and shows potential for real-time applications in public safety, healthcare, and workplace monitoring. © 2024 IEEE.

关键词： Graph neural networks

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Leveraging Industrial IoT Infrastructure for Remote Sensing and Edge Computing in the Mining Sector 5

Leveraging Industrial IoT Infrastructure for Remote Sensing ...

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5th international conference in Electronic Engineering, Information Technology and Education, EEITE 2024

作者： Eleftherios, Emmanouil Papatsaroucha, Dimitra Markakis, Evangelos K. Hellenic Mediterranean University Electrical and Computer Engineering Heraklion Greece

ISBN: (纸本)9798350372878

Mining 4.0 signifies a paradigm shift within the mining sector and is defined as an all-encompassing strategy for industry revolution by optimizing mining processes through the utilization of digital technologies, automation, and data analytics to streamline processes. Mining 4.0 aims to develop intelligent and networked mining systems that enhance resource utilization, improve operational efficiency, reduce costs, and mitigate environmental harm, all while prioritizing the safety and welfare of workers. The process of mining digitization encompasses the methodical collection, management, and monitoring of data derived from diverse sources, including sensors, equipment, vehicles, and more. It permits remote, realtime monitoring of environmental and operational conditions, as well as the integration of control systems designed to optimize and automate processes. With digital transformation, the mining sector aspires to overcome conventional obstacles and adjust to changing market requirements, therefore facilitating a more sustainable and efficient future. A critical challenge in the process of digitizing the mining sector is the need to provide reliable routes for transmitting and communicating data between physical and digital components within mining environments. This paper examines the convergence of Mining 4.0 and mining digitization, with a specific emphasis on the pivotal role that remote sensing, edge computing, and decentralized communication systems play in data transmission and real-time monitoring in light of enhancing mining operations' safety and efficiency. The study performed puts forward a European solution based on open standards and tools, revolving around an Industrial Internet of Things (IIoT) Gateway that is a core component of the proposed communication system. This gateway will function as an intermediary between the edge and cloud-based platforms and will facilitate real-time monitoring through the establishment of resilient wireless communi

关键词： Gateways (computer networks)

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Research on Temperature Adaptive control Method of Auxiliary Dialysis Equipment Based on RBF Neural Network 3

Research on Temperature Adaptive Control Method of Auxiliary...

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3rd international conference on computer Science, Electronic Information Engineering and intelligent control Technology, CEI 2023

作者： Liang, Zhaoming Li, Yong Yan, Shuo Hao, Yuzhe Jiangsu Automation Research Institute Lianyungang China Jiangsu Jari Medical Technology Co. Ltd Lianyungang China

ISBN: (纸本)9798350372052

Aiming at the difficulties of slow heating rate, slow temperature response, easy to be affected by ambient temperature and low precision in the heating process of manual peritoneal dialysis auxiliary equipment, this paper deeply analyzes the heating control process of the equipment, designs a temperature adaptive control method of auxiliary dialysis equipment based on RBF neural network, and explores the efficient heating control system of auxiliary dialysis equipment. On the basis of collecting a large number of actual data in the heating process, the intelligent data processing algorithm is introduced. The RBF neural network algorithm is used to adaptively compensate the dialysate temperature, and the temperature detection value without compensation is compared. The temperature adaptive control method of auxiliary dialysis equipment based on RBF neural network can adjust the control parameters in real time and accurately, solve the problems of slow heating speed and low temperature accuracy caused by easy environmental impact and uneven heating in the heating process, and realize real-time accurate monitoring of dialysate temperature. The treatment accuracy reaches ± 1°C, with high stability and heating efficiency. The temperature control effect is significantly improved, ensuring the safety and comfort of the product. It has significant application value for clinical treatment of peritoneal dialysis. © 2023 IEEE.

关键词： Temperature

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Design of intelligent Light control System Based on NB-IoT 1

Design of Intelligent Light Control System Based on NB-IoT

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1st international conference on Machine Learning, computer Systems and Security, MLCSS 2022

作者： Xiaoling, Zeng Jianping, Zhang Chongqing Electronic Information College Chongqing China

ISBN: (纸本)9781665454933

At this stage, the level of urbanization in China is constantly improving, and the construction of 'smart city' is gradually included in the ranks of national urban planning. As an important part of smart cities, intelligent street light are welcoming unprecedented development opportunities. The traditional street light control system generally adopts the methods of centralized line control,human inspection, and computer-side web monitoring. Aim at the lag of traditional street lamp management, and lack of real-time monitoring and remote control, this thesis designs a set of intelligent street light monitoring system based on NB-IoT (Narrow Band-Internet of Things).The system realizes the real-time control of street lighting system, environmental monitoring, spray cooling and dust suppression, etc. Cloud technology is used to calibrate the geographic location information and working status information of each street lamp. The test results show that the system is stable in operation and reliable in data transmission, reducing the cost and energy consumption of the traditional street lamp control nodes, and realizing the remote monitoring and intelligent management of the status of urban street lamps by the terminal equipment. © 2022 IEEE.

关键词： Internet of things

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Industrial Boiler intelligent monitoring System Based on LabVIEW 6

Industrial Boiler Intelligent Monitoring System Based on Lab...

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2022 6th international conference on Electrical, Mechanical and computer Engineering, ICEMCE 2022

作者： Ji, Yuan Chen, Heng Shi, Xianwei Department Xijing University Shaanxi Xi'an710000 China

As a kind of traditional heating and power equipment, the industrial boiler is more and more applied in industrial production and life. However, due to the uneven heating of the boiler, the process of using the boiler would result in boiler leakage accidents and cause burns to workers. Given the above situation, the intelligent control system of the industrial boiler is studied in this paper to achieve safe and stable operation of the boiler. This design uses the distributed thermocouple temperature measurement method to design the boiler safety warning system based on the thermocouple sensor collaborative monitoring. Multiple sensors are used to cooperatively monitor and collect boiler operating signals. COMSOL model is used to realize 3D temperature field simulation and reconstruction inside the furnace lining, and the results are presented as early warning results through LabVIEW upper computer interface, which solves the shortcomings of low acquisition accuracy, narrow measurement accuracy, and single measurement method of the traditional contact measurement method. The practice shows that the system has the advantages of low cost, convenient installation and maintenance, easy expansion, high reliability, and strong anti-interference. © Published under licence by IOP Publishing Ltd.

关键词： Boilers

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Design of Smart Garden Watering and Lighting Using Arduino 16

Design of Smart Garden Watering and Lighting Using Arduino

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16th international conference on Developments in eSystems Engineering, DeSE 2023

作者： Saeed, Hadeel Amjed Hamad, Nuha A. Hamad, Sumaya University of Anbar Information Systems Departmen Anbar Iraq University of Anbar Computer Science Department Anbar Iraq University of Anbar Computer Network Department Anbar Iraq

ISBN: (纸本)9798350381344

A developing technology called a 'smart garden' employs analytics, sensors, and automation to make gardening simpler and more productive. Plant cultivation is a laborious process, so to produce crops healthily, farmers must routinely visit the farming area to assess the many environmental parameters, including humidity, temperature, soil moisture, and light intensity. Through the interlinking of these microclimatic factors, all parameters can be monitored automatically without human assistance using automatic garden monitoring and control. In this study, we employ an Arduino microcontroller to activate a light and a motor for pumping water, respectively, and monitor and control humidity, soil moisture, and temperature using sensors. With the use of the Android app, information will be supplied to the monitoring screen in the event of any abnormal circumstances, and the appropriate solution will be offered. The control and monitoring system for smart gardens is moving toward an intelligent, remotely accessible, real-time, and fully automatic system. A simple way to provide the perfect humidity, temperature, and moisture conditions for plant growth has evolved. As a result, this research tried to understand the idea, trends, and perception of smart gardens, a relatively new idea. © 2023 IEEE.

关键词： Soil moisture

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LeakG3PD: A Python Generator and Simulated Water Distribution System Dataset 25th

LeakG3PD: A Python Generator and Simulated Water Distributio...

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25th international conference on intelligent Data Engineering and Automated Learning

作者： Figueiredo, Matheus Pilotto Oliveira, Lizandro de Souza Lucca, Giancarlo Yamin, Adenauer Correa dos Santos, Wesley Huckembeck Lopes, Tiago da Rosa Univ Catolica Pelotas Pelotas RS Brazil Parallel & Distributed Proc Res Grp G3PD Pelotas RS Brazil Univ Fed Pelotas Pelotas RS Brazil Autonomous Sanitat Serv Pelotas Pelotas RS Brazil

ISBN: (纸本)9783031777370;9783031777387

The United Nations' (UN) 2030 Agenda for Sustainable Development 6th goal is of special interest here: "Ensure availability and sustainable management of water and sanitation for all". To manage consumption water, it's surely fundamental to be able to measure, diagnose and control the whole path from it's origin in natural reservoirs till the end customers, requiring a net of sensors along the Water Distribution System (WDS). Such a network of sensors, will generate data over time constituting a dataset on which computer intelligence algorithms can work to detect abnormal behaviour, especially leakages. Unfortunately in Brazil the initiatives in monitoring WDS through sensors are very incipient. Since we don't have a real dataset with sensor information over time yet, in this work we aim to provide a solution to this part of the problem through simulation. In 2018, LeakDB [1] was presented as a "benchmark dataset for leakage diagnosis in water distribution systems", in fact a very important and interesting work. However it has some drawbacks, especially inconsistent data, which prevents its use as a solid basis. In this paper we improve LeakDB implementing LeakG3PD, opening the path to analyze the viability of different solutions in water management, with special focus on leakages.

关键词： Water distribution systems (WDS) Simulated Dataset Leakage Detection and Isolation Algorithms (LDIA) LeakDB LeakG3PD

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