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共 8136 条记录，以下是151-160 订阅

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ANALYSIS OF THE UPGRADING 5G TO 6G: FROM PROTOCOL, PROPOSAL, FACILITY AND PROSPECTS 2

ANALYSIS OF THE UPGRADING 5G TO 6G: FROM PROTOCOL, PROPOSAL,...

引用

2nd international conference on Mechatronic Automation and Electrical Engineering, ICMAEE 2024

作者： Wan, Yuxin International College Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781837242672

As a matter of fact, communication has been rapidly developed in recent years. This research examines the technological upgrade from 5G to 6G, focusing on protocol improvements, hardware advances, and future challenges. The research analyses the evolution of mobile communications from earlier generations to the present day, with a particular emphasis on 6G's significant advances in terms of speed increases, latency reductions and connectivity enhancements. By integrating artificial intelligence, machine learning, and edge computing, 6G networks will provide smarter and more flexible solutions to support real-time applications such as augmented reality (AR), virtual reality (VR), and autonomous driving. At the same time, this paper discusses technical bottlenecks such as spectrum constraints, hardware complexity, and security challenges, as well as potential developments to address them according to the analysis. These results lay the foundation for understanding the future of 6G and its contribution to a highly interconnected, intelligent, as well as sustainable global network. © The Institution of Engineering & Technology 2024.

关键词： 5G mobile communication systems

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Density-Based Traffic Signal control System 3

Density-Based Traffic Signal Control System

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3rd international conference on Intelligent and Innovative Technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Pavan, D.S. Jain, Ronak R. Karmakar, Tirthankar Chaitra, N. Bnmit Bangalore India Pes University Bangalore India

ISBN: (纸本)9798331515911

The Density-Based Traffic Signal control System (DB-TSCS) is an innovative approach to manage traffic flow at intersections. Incorporating advanced sensor technologies and intelligent algorithms, the system adjusts the signal timings dependent on the traffic density at a particular point in time. This provides improvements in the flow of traffic while reducing the level of traffic congestion and improving the use of the transportation system in general. The central control unit uses density-based algorithms to analyze traffic conditions, generating optimized signal timings that prioritize congested directions while minimizing delays in low-density areas. The system also incorporates adaptive learning and can be integrated with smart city infrastructure for communication and real-time traffic updates. © 2025 IEEE.

关键词： Traffic congestion

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Transmission delay control technology of low voltage carrier reading system based on micro power wireless communication 2

Transmission delay control technology of low voltage carrier...

引用

2nd international conference on Informatics, Networking, and computing, ICINC 2023

作者： Li, Ze Liu, Xiaoze Shi, Mingce Bao, Xinzhu Bi, Yue State Grid Liaoning Marketing Service Center Shenyang China

ISBN: (纸本)9781510674745

Low-voltage carrier reading system uses power line as transmission medium, and the power line has high loss and attenuation characteristics, so the signal is easily disturbed by noise during transmission, resulting in greater difficulty in transmission delay control. Therefore, a transmission delay control technology for low-voltage carrier aggregation system based on micro-power wireless communication is proposed. Support vector machine is used to extract micro power wireless communication features. Based on this, a delay predictor is designed to predict the delay of low-voltage carrier reading system by using the three-input, single-input and single-layer linear neuron structure of neural network. By using Hidden Markov model (HMMs), the current delay is estimated based on the transmission delay data of the previous time, and the transmission delay control of low-voltage carrier reading system is realized. The experimental results show that the throughput and fitting rate of the research method are high, and the delay can be significantly reduced under the application of the research method. © 2024 SPIE.

关键词： Support vector machines

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2023 3rd international conference on advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2023

2023 3rd International Conference on Advances in Electrical,...

引用

3rd international conference on advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2023

ISBN: (纸本)9781665494007

The proceedings contain 204 papers. The topics discussed include: a Bengali word identification and verification using machine learning approach;a framework for big data adoption and sustainable institutional performance;conceptual design of an automated irrigation and fixation system for long-term crop care of cherry tomatoes for applications in microgravity machines;comparative study of deep learning models for COVID 19 diagnosis;improved double-level blending model (IDLBM): customer churn estimating in insurance industry;a comparative survey of maize leaf diseases using pre-trained convolutional neural networks;chromatic partitioning of a network and an optimum scheduling problem;comparison of performance of machine learning algorithms for diabetes detection;fine - grained sentiment analysis on online reviews;an approach to predict and classify retinopathy stages in diabetic patients using deep learning;intelligent recognition of ancient Brahmi characters using transfer learning;and comparative study and performance analysis of deep neural networks for sign language recognition using transfer learning.

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AN AUTOMATED SMART IIOT USING control SYSTEMS IMPLEMENTED VIA CC ALGORITHMS

AN AUTOMATED SMART IIOT USING CONTROL SYSTEMS IMPLEMENTED VI...

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2024 international conference on Sustainable computing and Integrated communication in Changing Landscape of AI, ICSCAI 2024

作者： Manjula, M. Deepak, Shashikant Shahid, Mohammad Karnataka Bangalore India Department of uGDX ATLAS SkillTech University Maharashtra Mumbai India Noida Institute of Engineering & Technology Uttar Pradesh Greater Noida India

ISBN: (纸本)9798350355338

Unmanned aerial vehicles, or UAVs, are the most sophisticated remote sensing instruments available today, revolutionizing the process of gathering vast amounts of data. In addition to serving as sensors, they assist in decision-making and measure production processes in the industrial sector as proactive problem-solving tools. Together, the Industrial Internet of Things and Unmanned Aerial Vehicle (UAV) technologies have produced a powerful monitoring and control system. Cloud computing, which efficiently manages IIoT system data and ensures seamless operation, is a crucial component of this synergy. Fog computing is crucial to the integration of IoT gateways, which act as links between various objects and the internet. These gateways function as unified interfaces by facilitating network access and supporting a wide range of communication protocols. It has taken a lot of effort to create UAVs and multi-UAV systems. This work provides a unique fog, cloud, and UAV computing-based IIoT control and oversight system. What distinguishes it is the automatic integration of UAVs with industrial controls via an IoT gateway platform. In addition, UAV-taken images undergo rapid and thorough analysis in the public internet to provide visual plant monitoring in real time. To confirm this theory, the platform was tested in a concrete manufacturing plant. The results amply demonstrated the platform's efficacy in enhancing UAV the remote control, which improves product quality and lowers waste. A thorough examination of connection latency at every IIoT tier for IoT gateways verified the system's reliability and efficacy. © 2024 IEEE.

关键词： Fog computing

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Utilising Feedforward Compensation, Active and Reactive Power control of a Grid-Tied Three-Phase Inverter 5

Utilising Feedforward Compensation, Active and Reactive Powe...

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5th IEEE international conference on computing, Power, and communication Technologies, IC2PCT 2024

作者： Fatima, Mehtab Siddiqui, Anwar Shahzad Sinha, S.K. Jamia Millia Islamia Department of Electrical Engineering New Delhi India Amity University Department of Electrical & Electronics Engineering UP Noida India

ISBN: (纸本)9798350383522

In the era where non-conventional energy sources are replacing conventional sources of power because of environmental pollution three phase grid connected inverters play an important role as they provide an interface between DC producing non-conventional sources and AC grid. This Paper investigates control technique for optimizing active and reactive power distribution in three phase grid tied inverter. The simulation results obtained from MATLAB provides valuable insight for integrating renewable energy resources while ensuring optimal power quality and efficient grid operation. © 2024 IEEE.

关键词： Active Power grid stability Grid tied inverter power quality reactive power Solar PV integration three-phase grid-tied inverter

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The Evolution of Cloud computing Towards a Vendor Agnostic Market Place Using the SKY control Framework 15

The Evolution of Cloud Computing Towards a Vendor Agnostic M...

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15th international conference on Cloud computing and Services Science, CLOSER 2025

作者： Cocos, Henry-Norbert Baun, Christian Kappes, Martin Frankfurt University of Applied Sciences Nibelungeplatz 1 Frankfurt am MainD-60318 Germany

ISBN: (纸本)9789897587474

Multi-cloud environments offer benefits like vendor diversification and resilience but pose challenges such as increased management complexity, lack of cost transparency, and compliance. This concept paper introduces SKY control, a vendor-agnostic framework for small and medium-sized enterprises (SMEs). SKY control integrates cost control and risk management into multi-cloud setups, providing static and dynamic resource analyses, a cost calculator, and risk assessment tools. By leveraging the Sky computing paradigm, SKY control simplifies resource orchestration and enhances security. This novel framework is the first implementation of the innovative Sky computing concept. It aims to improve cost efficiency, regulatory compliance, and strategic IT planning for SMEs, offering a unified approach to managing hybrid infrastructures. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Risk management

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6th IFIP international conference on Internet of Things, IFIP IoT 2023

6th IFIP International Conference on Internet of Things, IFI...

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6th IFIP international conference on Internet of Things, IFIP IoT 2023

ISBN: (纸本)9783031458811

The proceedings contain 63 papers. The special focus in this conference is on Internet of Things. The topics include: Blockchain-Based Secure Noninvasive Glucometer and Automatic Insulin Delivery System for Diabetes Management;an Efficient and Secure Mechanism for Ubiquitous Sustainable computing System;understanding Security Challenges and Defending Access control Models for Cloud-Based Internet of Things Network;fog computing in the Internet of Things: Challenges and Opportunities;A 2-Colorable DODAG Structured Hybrid Mode of Operations Architecture for RPL Protocol to Reduce communication Overhead;role-Based Access control in Private Blockchain for IoT Integrated Smart Contract;VXorPUF: A Vedic Principles - Based Hybrid XOR Arbiter PUF for Robust Security in IoMT;Easy-Sec: PUF-Based Rapid and Robust Authentication Framework for the Internet of Vehicles;fortiRx: Distributed Ledger Based Verifiable and Trustworthy Electronic Prescription Sharing;a Survey of Pedestrian to Infrastructure communication System for Pedestrian Safety: System Components and Design Challenges;survival: A Smart Way to Locate Help;federated Edge-Cloud Framework for Heart Disease Risk Prediction Using Blockchain;understanding Cybersecurity Challenges and Detection Algorithms for False Data Injection Attacks in Smart Grids;comprehensive Survey of Machine Learning Techniques for Detecting and Preventing Network Layer DoS Attacks;power Analysis Side-Channel Attacks on Same and Cross-Device Settings: A Survey of Machine Learning Techniques;Lite-Agro: Exploring Light-Duty computing Platforms for IoAT-Edge AI in Plant Disease Identification;farmIns: Blockchain Leveraged Secure and Reliable Crop Insurance Management System;PTSD Detection Using Physiological Markers;a Signal Conditioning Circuit with Integrated Bandgap Reference for Glucose Concentration Measurement;detection of Aircraft in Satellite Images using Multilayer Convolution Neural Network;computer Vision Based 3D Model Floor Construction

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Air Quality Improvement and Optimisation Using Machine Learning Technique 2

Air Quality Improvement and Optimisation Using Machine Learn...

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2nd IEEE international conference on advances in computing, communication and Applied Informatics, ACCAI 2023

作者： Veeranjaneyulu, Rayavarapu Boopathi, Sampath Kumari, R. Krishna Vidyarthi, Anurag Isaac, J. Samson Jaiganesh, V. Pace Institute of Technology & Sciences Department of Computer Science Engineering Andhra Pradesh Ongole523272 India Muthayammal Engineering College Department of Mechanical Engineering Tamil Nadu Namakkal637408 India College of Engineering and Technology Srm Institute of Science and Technology Department of Career Development Centre Tamil Nadu Kattankulathur603203 India Graphic Era Deemed to Be University Department of Electronics & Communication Engineering Uttarakhand Dehradun248002 India Karunya Institute of Technology and Sciences Department of Biomedical Engineering Tamil Nadu Coimbatore641114 India Bharath Institute of Higher Education and Research Department of Mechanical Engineering Tamil Nadu Chennai600063 India

ISBN: (纸本)9798350315905

Due to the increased use of automobiles, the manufacturing industry, and the emission of pollutants from other human activities, air pollution has risen above the expected safety level. Accurate estimating of the air quality index(AQI) is essential for effective pollution control. In this research, an AQI prediction ANFIS network model was created utilizing an already-existing data set. In this instance, the ANFIS system compares the performances of the back propagation neural network model, hybrid models, the Gaussian-BNN model, and the Gaussian-hybrid BNN model. Based on the actual raw data set, it was noted that the R and IA values of the Gaussian hybrid model are 0.9899. The ANFIS gauss-hybrid model might therefore be used to predict the most accurate model data. © 2023 IEEE.

关键词： Quality control

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Enhanced Security Through Honeywords and Video CAPTCHA: An Innovative Authentication and Tracking Mechanism 5

Enhanced Security Through Honeywords and Video CAPTCHA: An I...

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5th IEEE international conference on advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2025

作者： Gurale, Madhuri Borate, Komal Sangitrao, Rachana R. Tiwari, Garima D. Y. Patil College of Engineering Information Technology Department Akurdi Pune412101 India D. Y. Patil College of Engineering Artifical Intelligency and Data Science Department Akurdi Pune412101 India D. Y. Patil College of Engineering Department of Instrumentation and Control Akurdi Pune412101 India D. Y. Patil College of Engineering Department of Electronics & Communication Akurdi Pune412101 India

ISBN: (纸本)9798350356236

In recent years, activities across countries have increasingly been carried out digitally, with information being shared over networks to boost speed and efficiency. However, this digital transformation poses security threats. Cybercrime has consistently evolved, necessitating improved network security measures to combat digital scams. To maintain security, users are assigned unique identification passwords, which they are instructed to keep secret. Despite this, attackers often manage to steal passwords. To counter these threats, we propose using honeywords, which are decoy passwords created from the existing user password. If an attacker inputs a honeyword, an alert is activated for the administrator. Moreover, we implement IP and location monitoring for users and introduce a approach known as the video click-based CAPTCHA system. This scheme authenticates users by distinguishing between humans and bots, addressing issues in traditional graphic password CAPTCHA schemes. This architecture significantly enhances protection and security of data and applications over online networks. © 2025 IEEE.

关键词： Malware

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