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检索条件"任意字段=International Conference on Computer Distributed Control and Intelligent Environmental Monitoring"

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3rd international conference on Machine Learning, Cloud Computing and intelligent Mining, MLCCIM 2024

3rd International Conference on Machine Learning, Cloud Comp...

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3rd international conference on Machine Learning, Cloud Computing and intelligent Mining, MLCCIM 2024

ISBN: (纸本)9789819624676

The proceedings contain 27 papers. The special focus in this conference is on Machine Learning, Cloud Computing and intelligent Mining. The topics include: Decentralized Optimal Tracking control of MRMs Under Health Indicator-Based Event-Triggered Mechanism;iterative Learning control for Nonlinear Switched Continuous-Time Systems with Time-Varying Delay;Model Migration and Joint Communication and Computing Resource Allocation in Native AI Wireless Networks;FTB-RRP control for 2-D Continuous-Discrete Systems in Roesser Model;Optimal UAVs Placement for TDOA Localization Method Based On An Improved Grey Wolf Optimization Algorithm;A Bat-BP Optimization Algorithm Based System of Dry Ice Decontamination for UAV;Optimal Resource Allocation Algorithm for Multi-user AI Tasks in Native AI Networks;study on Non-intrusive Load monitoring Method Based on K-means Clustering and Dual Convolutional Neural Networks;research and Application of computer Vision and Predictive Maintenance in Health Management of Conveying Equipment;attitude Stabilization control for Unmanned Aerial Vehicle with Robotic Arm Based on Fixed-Time Observer Active Disturbance Rejection control;state Estimation and control of Switched Neural Networks with Mode-Dependent Hybrid Dwell Time;distributed Consensus control Research of Unmanned Aerial Vehicle (UAV) Swarms Based on Lennard-Jones Potential;lifetime Prediction of Fuel Cell Composite Operating Conditions Based on Genetic Algorithm Optimized Elman Neural Network;a Tiered Native Digital Twin for Telco Networks;defender: The Possibility of Repairing Jailbreak Defects;research on Special Vision Recognition and Fault Alarm System for Vertical Roller;malicious Traffic Classification Algorithm Based on Multimodal Fusion;Enhanced Affine Formation control in Multi-agent Systems with Disturbance Rejection Using RISE controller;model Predictive control for Contour control in Biaxial System.

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Target Identification and Detection Using Hyperpectral Signature Transformation 13

Target Identification and Detection Using Hyperpectral Signa...

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13th international conference on intelligent control and Information Processing, ICICIP 2025

作者： Zhang, Nian Wilson, Oshin Thompson, Lara A. Department of Electrical and Computer Engineering University of the District of Columbia WashingtonDC United States Department of Mechanical Engineering BME University of the District of Columbia WashingtonDC20008 United States

ISBN: (纸本)9798331516147

Hyperspectral imaging has emerged as a powerful technique for target detection and material identification across various fields, from remote sensing to environmental monitoring. This paper proposes a spectral signature matching method for detecting a known target (i.e., sea water) in hyperspectral images. By analyzing pixel-by-pixel spectral characteristics, spectral matching algorithm computes the similarity between the spectral signature of each pixel and that of known target materials. The proposed method employs the Jasper Ridge hyperspectral data from an urban landscape to demonstrate the algorithm’s effectiveness, with results revealing high accuracy in target detection even in heterogeneous environments where various land cover types (like water, vegetation, urban structures, soil, and rocks) are intermixed within the same area. This highlights the algorithm’s robustness in discerning similar spectral features. The experimental results demonstrate that the Jeffries-Matusita Spectral Angle Mapper (JMSAM) outperformed the Spectral Angle Mapper (SAM) and the Normalized Spectral Similarity Score (NS3) algorithms, by achieving the lowest MSE of 0.056933. © 2025 IEEE.

关键词： Remote sensing

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Dynamic Offloading control for Waste Sorting Based on Deep Q-Network 24th

Dynamic Offloading Control for Waste Sorting Based on Deep...

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24th international conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2024

作者： Wang, Jing Wang, Xiaoyang Guo, Jianxiong Tang, Zhiqing Ding, Xingjian Wang, Tian Advanced Institute of Natural Sciences Beijing Normal University Zhuhai China Guangdong Key Lab of AI and Multi-modal Data Processing Department of Computer Science BNU-HKBU United International College Zhuhai China Faculty of Information Technology Beijing University of Technology Beijing China

ISBN: (纸本)9789819615278

With the increasing concern for environmental protection and resource optimization, efficient waste sorting has become a serious challenge today. In this paper, we propose a new offloading control problem that aims to solve waste sorting in wireless bin communication networks. Due to limited computational power, bins belonging to embedded devices rely on simple classification models with varying accuracy. In this scenario, consider a network of intelligent bins, each acting as an independent agent capable of deciding to offload an image to the edge server with a more accurate but resource-intensive model when the local classification is deemed inaccurate. Thus, Our goal is to find a lightweight online offloading policy that can achieve the best possible sorting accuracy while balancing transmission traffic. The method utilizes a Deep Q-network algorithm that enables each intelligent bin to make image-processing decisions autonomously. In the experiment, we validate the effectiveness of improving the performance of waste classification compared with existing flow control methods. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： distributed Resource Allocation intelligent Waste Management Waste Sorting Wireless Communication Network

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On development of a pervasive computing aided assistive systems for the elderly in Internet of Things 2

On development of a pervasive computing aided assistive syst...

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2nd international conference on Big Data, Computational Intelligence, and Applications, BDCIA 2024

作者： Yao, Di Xing, Yutao Luo, Chenyao Song, Huaju Beijing100083 China School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China Portland Institute Nanjing University of Posts and Telecommunications Nanjing210003 China School of Environmental Science Nanjing XiaoZhuang University Nanjing210017 China

ISBN: (纸本)9781510689053

With the rapid development of sensors, wireless communication, and computing technology, Internet of Things (IoT) has gained significant research interest. In particular, increasing people-oriented applications and systems have been developed to improve the quality of life with intelligent services. In this paper, we propose a situational awareness system based on pervasive computing. In response to the current situation of a large number of elderly people living alone or lacking care, an intelligent assistance system model for elderly people living alone is proposed, aiming to solve problems such as forgetting to turn off lights caused by memory decline, falls caused by mobility impairment, and loss of dementia elderly people. Furthermore, we adopt the OSGi architecture to implement the proposed system. In addition, a virtual device module is designed to shield underlying device heterogeneity ensuring seamless collaboration between devices and services. To further enhance the system's capabilities, optical sensors are integrated for intelligent health monitoring, enabling real-time tracking of vital signs such as heart rate and respiratory rate, as well as early detection of potential health anomalies. To make services transparent to users, we explore the integration methods of distributed sensors and intelligent devices in pervasive computing environments. Experimental results indicate that the system can effectively improve the comfort and safety of elderly people's lives, enhance the convenience of daily affairs and risk prevention and control capabilities. Therefore, the developed system not only provides a technical framework for intelligent assistance systems for the elderly, but also has significant implications for the application of pervasive computing in the field of social welfare. © 2025 SPIE.

关键词： Assistive technology

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Design and Implementation of Real-Time Wireless Sensor Network Protocols with Relay Nodes and Localization Methods for Efficient System Performance

Design and Implementation of Real-Time Wireless Sensor Netwo...

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2025 international conference on intelligent control, Computing and Communications, IC3 2025

作者： Balan, Gunapriya Pandey, Garima Sirisha, N. Ziara, Sajjad Thethi, H. Pal Alekhya, Juttiga New Horizon College of Engineering Department of Electrical and Electronics Engineering Bangalore India Galgotias university Department of Electrical Electronics & Communication Engineering Uttar Pradesh Gerater Noida203201 India Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India College of Medical Technology The Islamic University Radiology Techniques Department Najaf Iraq Lovely Professional University Phagwara India Griet Department of Information Technology Telangana Hyderabad India

ISBN: (纸本)9798331527495

In this research paper we focus on the design and implementation of reliable real time wireless sensor network (WSN) protocols that make use of relay node and proper localization techniques to enhance the performance of the system in real time applications. However, Wireless Sensor Networks (WSNs) offer a very important application in environmental monitoring, industrial control, and smart cities. Maintaining efficient communication protocols and accurate real time localization of sensor nodes, especially in environments with dynamic topologies, is one of the key challenges. This paper presents a robust WSN protocol with relay nodes which achieve both energy efficiency and communication efficiency. Additionally, it examines specialized localization algorithms for use in real time systems that offer enhanced localization precision without sacrificing system performance. Results show the reliability, scalability and energy efficiency of WSNs if utilized in real time applications can be highly improved using the optimized protocols that are coupled with localization techniques. © 2025 IEEE.

关键词： Wireless sensor networks

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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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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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The application of intelligent optical sensor networks in industrial automation 5

The application of intelligent optical sensor networks in in...

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5th international conference on Telecommunications, Optics, and computer Science, TOCS 2024

作者： Yang, Qiwei Chen, Tao Li, Rui Tian, Zhen Fuzhou University Fuzhou China Chongqing University of Posts and Telecommunications Chongqing China University of Glasgow Glasgow United Kingdom

ISBN: (纸本)9781510691667

With the advancement of industrial automation, Wireless Sensor Networks (WSNs), particularly those incorporating optical sensing technologies, have shown great potential in areas such as industrial process monitoring and equipment condition management due to their flexible deployment, real-time environmental sensing capabilities, and reliable automation control advantages. This paper comprehensively evaluates the role of wireless sensor networks, with emphasis on optical sensing nodes, in the field of industrial automation through literature review, demand analysis, and analysis of typical application cases. The research shows that compared to traditional wired systems, wireless sensor networks integrated with optical sensing elements enable more flexible layouts and provide real-time, accurate, and reliable environmental monitoring and process control, including precise optical measurements for quality inspection and process optimization, thereby improving production efficiency, safety, and resource utilization efficiency. However, this technology also faces technical challenges such as network reliability, optical signal interference, and system security that need to be overcome. Overall, wireless sensor networks with optical sensing capabilities are driving industrial automation systems towards flexibility, intelligence, and sustainability, despite some technical challenges that remain to be addressed. This study provides practical theoretical support and solution strategy references for the application of wireless sensor network technology with optical sensing in industrial automation. © 2025 SPIE.

关键词： Sensor nodes

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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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Smart Agriculture: A Crop monitoring System to Empower Agricultural Field Using IOT

Smart Agriculture: A Crop Monitoring System to Empower Agric...

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2025 international conference on Emerging Technologies for intelligent Systems, ETIS 2025

作者： Madhu, Surya Sujith Kumar, P.S. Supriya, L.P. Sree Buddha College of Engineering Dept. of Computer Science and Engineering Kerala India

ISBN: (纸本)9798331507541

Agriculture has long been the cornerstone of India's economy and way of life, contributing significantly to the nation's GDP and employment. With a diverse range of crops and climatic conditions, India's agricultural sector is both vast and complex, demanding innovative approaches to meet the growing needs of its population. The sector faces numerous challenges, including climate variability, soil degradation, water scarcity, and pest infestations, which impact productivity and sustainability. In response to these challenges, modern agricultural system in India increasingly focuses on integrating technology to enhance efficacy and eco-friendly. One such initiative is the development of smart agricultural systems that leverage advanced technologies. This paper presents an advanced Internet of Things (IoT) based crop monitoring system designed to enhance agricultural efficacy and conciliatory. The system integrates multiple sensors to monitor critical environmental parameters, including pH levels, soil properties, and temperature. By continuously measuring these variables, the system provides real-time data to optimize crop health and growth conditions. Additionally, the paper incorporates pest control mechanisms, leveraging IoT technology to detect and manage pest populations effectively. This comprehensive approach not only ensures the optimal condition for crops but also minimizes the need for manual intervention and reduces the reliance on chemical treatments. The data collected through this system is analysed and visualized through a user-friendly interface, offering farmers actionable insights and enabling timely decision-making. The integration of these technologies aims to promote sustainable agricultural practices, improve crop yield, and reduce environmental impact, demonstrating the potential of IoT in modernizing agricultural operations. © 2025 IEEE.

关键词： Insect control

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