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检索条件"任意字段=Conference on Internet Quality and Performance and Control of Network Systems"

共 10532 条记录，以下是241-250 订阅

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EmbedDB: A High-performance Time Series Database for Embedded systems 26

EmbedDB: A High-Performance Time Series Database for Embedde...

引用

26th International conference on Enterprise Information systems, ICEIS 2024

作者： Schoenit, Justin Akins, Seth Lawrence, Ramon University of British Columbia KelownaBC Canada

ISBN: (纸本)9789897586927

Efficient data processing on embedded devices may reduce network communication and improve battery usage allowing for longer sensor lifetime. Data processing is challenged by limited CPU and memory hardware. EmbedDB is a key-value data store supporting time series and relational data on memory-constrained devices. EmbedDB is competitive with SQLite on more powerful embedded hardware such as the Raspberry Pi and executes on hardware such as Arduinos that SQLite and other previous systems cannot. Experimental results evaluating EmbedDB on time series query processing show a speedup of five times compared to SQLite on a Raspberry Pi on many queries, and the ability to execute data processing on small embedded systems not well supported by existing databases. Copyright © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： internet of things

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Design and Implementation of a Smart Factory System Based on 5G and IoT Technology

Design and Implementation of a Smart Factory System Based on...

引用

2023 IEEE International conference on network, Multimedia and Information Technology, NMITCON 2023

作者： Yang, Zhenbo Gao, Feiyan Shaanxi Telecommunications Planning and Designing Intitute Co. Ltd Xi'an China Shaanxi Internet Network Engineering Co. Ltd. Xi'an China

ISBN: (纸本)9798350300826

With people's constant pursuit of a better life, population problems, food problems and health problems are becoming increasingly prominent, which hastens the development of Plant factory technology. China's Plant factory is developing rapidly, but in terms of technology research and development, it mostly stays at the theoretical research level, lacking highly integrated intelligent systems. This paper has designed and developed a multi-functional, intelligent and low-cost environment precision control system for Plant factory, completed the selection of 5G communication module, combined 5G with the internet of Things technology by using the characteristics of 5G low delay and high speed, improved the transmission performance of the internet of Things network, ensured real-time data collection and efficient processing, and conducted joint debugging and testing of system software and hardware. The test results indicate that the system can achieve precise monitoring and control of plant growth, and has good stability, reliability, and applicability. © 2023 IEEE.

关键词： control systems

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Energy Harvesting and Smart Wireless Home Automation System using internet of Things based Applications 3

Energy Harvesting and Smart Wireless Home Automation System ...

引用

3rd International conference on Electronics and Renewable systems, ICEARS 2025

作者： Veeramuthu, A. Dinesh, M. Jayamani, K. Saravanan, L. Giri, Jayant Al Sherideh, Ala'a Sathyabama Institute of Science and Technology Department of Information Technology Chennai India Saveetha School of Engineering Department of Vlsi Microelectronics Chennai India Rajalakshmi Institute of Technology Chennai India Peri Institute of Technology Department of Ece Mannivakkam Chennai India Yeshwantrao Chavan College of Engineering Department of Mechanical Engineering Nagpur India Division of Research and Development Lovely Professional University Phagwara India Zarqa University College of Information Technology Department of Cyber Security Zarqa Jordan University of Business and Technology Jeddah21448 Saudi Arabia

ISBN: (纸本)9798331509675

A comprehensive approach to energy-efficient smart home automation leveraging IoT technologies. The Altair Smart Core IoT platform integrates with Arduino, enabling remote control and management of household devices. The developed EHSWH model introduces a five-layered system architecture, facilitating automation features such as main door control, temperature and humidity monitoring, smart bin management, smart water pump operation, and automatic light and door control. Users can interact with the system effortlessly through RESTful web services and dedicated Android/web applications, ensuring convenience and accessibility. Extensive experimentation using the ns3 software in Ubuntu OS demonstrates the superior performance of the proposed EHSWHs protocol across key metrics, including packet delivery ratio, network throughput, energy efficiency, average delay, and routing overhead, underscoring its effectiveness in optimizing IoT network performance and efficiency. © 2025 IEEE.

关键词： Web services

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Research on Current Estimation Method of Three-Level ANPC Inverter Based on State Observer 6

Research on Current Estimation Method of Three-Level ANPC In...

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6th International conference on internet of Things, Automation and Artificial Intelligence, IoTAAI 2024

作者： Feng, Jinsheng Guangzhou Felicity Solar Technology Co. Ltd. Guangzhou China

ISBN: (纸本)9798350386974

Taking a single-phase three-level ANPC off-grid inverter as an example, a current estimation method based on state observer is proposed in this paper. The topology structure, mathematical model, proposed current estimation method, overall closed loop control and test results are introduced in detail. The proposed current estimation method based on state observer only needs to sample the output voltage to estimate the inductor current and load current, which can be used as the feedback quantity of the inverter control system, reducing the use of current sensors, and lowering cost and volume. The simulation tests are carried out on a 10 kW three-level ANPC inverter (3L-ANPCI). The test results show that the proposed current sensorless closed loop control scheme based on state observer can enable the inverter to obtain good no-load operation capability, power quality and dynamic performance with only voltage sampling feedback. © 2024 IEEE.

关键词： Closed loop control systems

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Surface Defect Detection of Workpieces Based on Deep Learning 9

Surface Defect Detection of Workpieces Based on Deep Learnin...

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9th Asia-Pacific conference on Intelligent Robot systems (ACIRS)

作者： Zhang, Xuemei Yin, Zhenyu Gao, Wei Wang, Xiaohui Shenyang Univ Chem Technol Liaoning Key Lab Domest Ind Control Platform Tech Liaoning Prov Key Lab Ind Intelligent Technol Che Shenyang Peoples R China Chinese Acad Sci Univ Chinese Acad Sci Shenyang Inst Comp Technol Liaoning Key Lab Domest Ind Control Platform Tech Shenyang Peoples R China Shenyang Univ Chem Technol Liaoning Prov Key Lab Ind Intelligent Technol Che Shenyang Peoples R China

ISBN: (纸本)9798350352573

Surface defect detection of workpieces plays an important role in quality control of workpieces. Traditional manual detection methods are inefficient, costly, and prone to problems such as false positives and false negatives. To address this, a modified YOLOv5 object detection model for surface defect detection is proposed, aiming to reduce inefficiencies and issues with false positives and false negatives. Firstly, the CBAM attention mechanism is introduced to enhance the network's perception ability, increase the feature weights of object detection, and suppress the influence of irrelevant features. Secondly, the unique residual module bottleneck in the C3 module is replaced with the Res2Net residual module to enhance the network's feature extraction capability and increase the receptive field size. Finally, the MPDIoU loss function is used to better optimize the accuracy and stability of object detection during training, further improving the quality of detection results. Experimental results show that the improved model achieves an mAP value of 77.7% on the NEU-DET dataset, which is 4.8% higher than the YOLOv5 network, demonstrating a significant improvement in detection performance.

关键词： defect detection YOLOv5 attention mechanism loss function

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20th Chinese Intelligent systems conference, CISC 2024

20th Chinese Intelligent Systems Conference, CISC 2024

引用

20th Chinese Intelligent systems conference, CISC 2024

ISBN: (纸本)9789819786497

The proceedings contain 202 papers. The special focus in this conference is on Chinese Intelligent systems. The topics include: Modeling of Interval Type-2 Fuzzy Logic System by Semi-tensor Product;Robust Adaptive control of Missiles Based on Fuzzy RBF Neural network;deep Reinforcement Learning of Physically Simulated Character control;the Game of Degree of Target-Attacker-Defender Game With Non-zero Capture Radius;Visual Inertial 3D Reconstruction System Based on KLT Optical Flow and Voxel Hash;analysis of Students’ Class Status Based on Deep Learning;fault-Tolerant Attitude control of Hypersonic Flight Vehicles Based on Extended Adaptive Iterative Learning;predefined-Time control of Robot systems with Prescribed performance Guarantees;dynamic Coverage of Unicycle Robots with Anisotropic Sensing for Time-Priority;method for Evaluating the Multi-factor Decision-Making Efficiency Based on Dynamic Bayesian network;submarine Cable Target Search Based on Improved Biological Neural network;end-to-End mmWave-Based Human Pose Estimation from Raw Signal;urban Sewage Treatment Plant Simulation System Based on Industrial internet;Load Matching Design and Multi-objective Optimization of Helicopter EHA;Testability Design and Verification of Typical Functional Links of CNI System;adaptive Sliding Mode Tracking control for Multiple High-Speed Trains with Actuator Saturation and Parameter Uncertainties;Abnormal Data Detection Based on Dual-Factor Weighted SVDD for Multimode Batch Processes;dual-Branch Attention Dense Residual network Based on Negative Image for Image Denoising;Research on Testability Work Planning Technology for Aviation Equipment Based on DoDAF;aero Engine Instability Prediction and Detection Method Based on Gated Recurrent Neural networks;Seven-Degrees-of-Freedom Robotic Arm Path Planning Based on Improved RRT;dynamic Event-Triggered Based Coherent Formation control for Multi-robot systems;adaptive Prescribed Time Prescribed performance control for High-Order No

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20th Chinese Intelligent systems conference, CISC 2024

20th Chinese Intelligent Systems Conference, CISC 2024

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20th Chinese Intelligent systems conference, CISC 2024

ISBN: (纸本)9789819786534

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QoS in IoMT: Towards Using TCP Header to Manage Priorities 6th

QoS in IoMT: Towards Using TCP Header to Manage Priorities

引用

6th International conference on Big Data Cloud and internet of Things, BDIoT 2022

作者： Ouakasse, Fathia Belkeziz, Radia Rakrak, Said Private University of Marrakesh Marrakesh Morocco Cadi Ayyad University Marrakesh Morocco

ISBN: (纸本)9783031283864

Recently, with the advances in technologies and the integration of internet of Things (IoT), many fields face difficulties and challenges in implementing IoT based systems and applications. One of the most important domain where IoT has been widely used and proved its performance is healthcare. In the medical field, connected objects are called internet of Medical Things (IoMT). Besides, in this field, a large amount of critical and sensitive data is generated and the network may undergo the problem of congestion or traffic overload. Due to the nature of the generated data, it is important to ensure getting data in real time and without delay. In this paper, we direct our attention to deal with the quality of Services in IoMT. We propose an approach able to classify connected devices into smart devices and IoMT devices, and then classify IoMT gathered data according to data emergency by prioritizing urgent data. We found our solution based on the reserved field in the Transmission control Protocol (TCP) header to manage priorities for data transmission within a medical system. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Transmission control protocol

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High-Precision Round-Trip Time Measurements in the internet with HiPerConTracer 31

High-Precision Round-Trip Time Measurements in the Internet ...

引用

31st International conference on Software, Telecommunications and Computer networks, SoftCOM 2023

作者： Dreibholz, Thomas Pilestredet 52 Oslo0167 Norway

ISBN: (纸本)9798350301076

Accurately measuring Round-Trip Times (RTT) for internet communications is important for various research topics, ranging from protocol performance and congestion control to routing and network security. Unix systems, particularly Linux and FreeBSD, provide some features to obtain network packet timing information, but there is a lack of documentation for these. With High-performance Connectivity Tracer (HiPerConTracer), there is already an open source tool for running large-scale, long-running and high-frequency ICMP Ping and Traceroute measurements. However, it lacks support of high-precision timing. As part of this paper, first the network packet timestamping features of Unix systems are analysed and introduced, to provide the reader with a detailed overview over the available methods, their usage, as well as their limitations. Then, enhancements to HiPerConTracer are presented for adding high-precision timestamping support, as well as a UDP module to also perform UDP Ping and Traceroute measurements. Finally, the newly added features are demonstrated in a proof-of-concept analysis. © 2023 University of Split, FESB.

关键词： network security

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Improving network Efficiency in Clustered Tree Topology through PSO Optimization in IEEE 802.15.4-DSME based IoT networks 18

Improving Network Efficiency in Clustered Tree Topology thro...

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18th IEEE International conference on Advanced networks and Telecommunications systems, ANTS 2024

作者： Anand, Sonali Choudhury, Nikumani Ojha, Tamoghna Hazarika, Anakhi Dave, Jay Birla Institute of Technology & Science Dept. of Computer Science & Information Systems Pilani Hyderabad India Indian Institute of Technology Indian School of Mines Dept. of Mathematics & Computing Dhanbad India

ISBN: (纸本)9798350391725

The IEEE 802.15.4 standard is designed for low-rate wireless personal area networks (LR-WPANs). Deterministic and Synchronous Multi-channel Extension (DSME) is one of the key Medium Access control (MAC) modes of the IEEE 802.15.4 standard that was introduced to address the need for higher reliability, lower latency, and better scalability in network communication in internet of Things (IoT) applications. However, in dynamic network conditions (topology and channel traffic), the network suffers from several limitations, such as low packet delivery ratio, high latency and packet collisions, and finally, higher power consumption. This is because of sub-optimal parameter settings. The standard does not define any mechanism to adapt the parameters based on network conditions. In this paper, we propose a mechanism to adapt/fine-tune the network parameters DSME along with the optimization of QoS using an algorithm based on Particle Swarm Optimization(PSO) for dense and dynamic DSME-based IoT networks. Through simulations, the proposed mechanisms' performance is analyzed in terms of energy efficiency, transmission overhead, throughput, and latency and is shown to outperform the existing DSME MAC scheme. © 2024 IEEE.

关键词： internet of things

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