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Research and practice of CDN dynamic acceleration technology over SRv6 24

Research and practice of CDN dynamic acceleration technology...

引用

3rd international conference on Networks, Communications and Information Technology (CNCIT)

作者： Kong, Lingshan Song, Tianqi Yang, Zhao Li, Zhi Jin, Longfei China Mobile Commun Grp Co Ltd Beijing Peoples R China

ISBN: (纸本)9798400717048

With the rapid development of network technology, CDN dispatches users to the nearest edge node to improve application experience, SRv6 realizes the minimum transmission delay of messages based on source routing, both of which play extremely important roles. Facing of the innovative development of new Internet applications, more and more applications have put forward the demand for ultra-low delay and ultra-high stability message dynamic acceleration. This paper proposes a CDN dynamic acceleration technology scheme over SRv6. Through designing and deploying the joint orchestration system of CDN and SRv6, innovative application of multi-constraint optimal path algorithm successfully realizes the joint scheduling of CDN and SRv6 technology, and supports the rapid construction of low-delay message transmission channels according to business requirements. After the application of the scheme in the network, remarkable acceleration effect has been achieved and a new paradigm of dynamic acceleration service has been opened up.

关键词： CDN SRv6 Dynamic acceleration IPv6 Network optimization

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2024 IEEE international conference on Intelligent Techniques in control, optimization and Signal Processing, INCOS 2024 - Proceedings

2024 IEEE International Conference on Intelligent Techniques...

引用

3rd IEEE international conference on Intelligent Techniques in control, optimization and Signal Processing, INCOS 2024

ISBN: (纸本)9798350361186

The proceedings contain 171 papers. The topics discussed include: impact of leadership teamwork and organizational policies towards employee engagement;producing electricity from discarded plastic;designing of variables modified double sampling plan with double specification limits;automatic categorization of emails into folders based on the content of the messages;IoT-enhanced hostel inventory management system for seamless resource monitoring and control;two-stage converter for standalone PV-battery system based on SVM-DQ control system;analyzing the security and privacy of social Internet of Things and its applications;safeguarding the homeless using ViTransformer in violence detection;a novel approach for photo-realistic high quality sign language video synthesis;and a deep learning framework for prognosis patients with COVID 19.

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Research on SDN Network Structure optimization System Based on Computer 5G Technology 3

Research on SDN Network Structure Optimization System Based ...

引用

3rd IEEE international conference on Power, Electronics and Computer applications, ICPECA 2023

作者： Xiaowei, Su Jun, Wei Karamay Vocational & Technical College 355 Anding Road Karamay District Xinjiang Karamay China

ISBN: (纸本)9781665472784

Based on computer 5G technology, this paper proposes a SDN architecture application scheme for tactical access network topology. Firstly, aiming at the network delay problem existing in the new IVN architecture, this paper establishes a low-latency optimization mechanism. Then this paper uses the device hierarchy to optimize the network topology to achieve the maximum separation of device routing control and data forwarding. Thirdly, the link utilization weight is introduced to optimize the equivalent multipath selection algorithm. The experimental results show that the optimized traffic load is more balanced, the delay, jitter and packet loss rate of packets are significantly reduced, and the network scalability, security and transmission quality are significantly improved. © 2023 IEEE.

关键词： Network topology

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Research on Logistics Network optimization Based on Artificial Intelligence 3

Research on Logistics Network Optimization Based on Artifici...

引用

3rd IEEE international conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Pan, Hongmin Li, Mei Yang, Chenming Shandong Institute Of Commerce And Technology Jinan China

ISBN: (纸本)9798350318609

With the continuous development of global trade and the rapid growth of the logistics industry, logistics network optimization has become an important topic for improving efficiency, reducing costs, and enhancing competitiveness. This paper aims to study the logistics network optimization methods based on artificial intelligence (AI) to improve the efficiency and effectiveness of logistics operations. Firstly, the background and significance of logistics network optimization are discussed. Then, the applications of AI in the logistics field are introduced, and its potential in logistics network optimization is explored. Next, the key technologies and methods of AI-based logistics network optimization are elaborated, including path planning, cargo allocation, warehouse management, and other aspects. Finally, the effectiveness and feasibility of the proposed methods are validated through case analysis and simulation experiments, and the potential impact on the logistics industry is discussed. The experimental results demonstrate significant advantages of AI-based logistics network optimization methods in improving operational efficiency, reducing costs, minimizing errors and delays, and enhancing customer satisfaction. These results provide a strong basis for the logistics industry to further promote and apply AI-based logistics network optimization technologies. © 2024 IEEE.

关键词： Motion planning

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Deep Conditional Measure Quantization 3rd

Deep Conditional Measure Quantization

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3rd international conference on optimization, Learning Algorithms and applications (OL2A)

作者： Turinici, Gabriel Univ Paris Dauphine PSL CEREMADE Paris France

ISBN: (纸本)9783031530357;9783031530364

Quantization of a probability measure means representing it with a finite set of Dirac masses that approximates the input distribution well enough (in some metric space of probability measures). Various methods exists to do so, but the situation of quantizing a conditional law has been less explored. We propose a method, called DCMQ, involving a Huber-energy kernel-based approach coupled with a deep neural network architecture. The method is tested on several examples and obtains promising results.

关键词： conditional generative algorithms optimization conditional quantization stochastic optimization vector quantization

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Fault Diagnosis of Rotating Equipment Bearings Based on VMD-MSGWO-SVM 3

Fault Diagnosis of Rotating Equipment Bearings Based on VMD-...

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3rd conference on Fully Actuated System Theory and applications (FASTA)

作者： Deng, Jibao Liu, Yimin Li, Zixuan Wuhan Maintenance & Installat Petrochem Engn Co L Wuhan 430082 Peoples R China Wuhan Univ Sci & Technol Acad Informat Sci & Engn Wuhan 430081 Peoples R China

ISBN: (纸本)9798350373707;9798350373691

In this paper, the bearing fault problem of rotating equipment is studied by using support vector machine (SVM) model classification method. In order to solve the problem of low accuracy of using SVM to detect the fault for bearing, the method of variational mode decomposition (VMD) is introduced to extract features from original vibration data and the intelligent optimization algorithm of MSGWO is introduced to optimize parameters of SVM, which can improve fault diagnosis performance of classification system. A variety of comparative experiments are carried out by using FEMTO-ST bearing data set which is open source on the internet. The results show that the proposed algorithm has high prediction accuracy and is superior to the present methods in classification.

关键词： SVM Rotating Equipment Bearings Fault VMD Improved Grey Wolf optimization Algorithm

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D2D Underlay Cellular Network optimization Using GA Considering OFDMA-ICI 3

D2D Underlay Cellular Network optimization Using GA Consider...

引用

3rd international conference on Power Electronics and IoT applications in Renewable Energy and its control, PARC 2024

作者： Osman, Nagy Alnajjar, Khawla A. Bansal, Ramesh C. University of Sharjah Department of Electrical Engineering College of Engineering PO Box 27272 Sharjah United Arab Emirates Higher Colleges of Technology Department of Electrical and Electronics Engineering Sharjah7947 United Arab Emirates University of Pretoria Department of Electric Electronic and Computer Engineering Pretoria South Africa

ISBN: (纸本)9798350309409

Direct transmission between devices is now possible due to the emergence of device-to-device D2D technology. The D2D communication underlay cellular network intends to take advantage of device proximity and hence, boost consumer bitrates, as well as offer the ability to improve system capacity and energy efficiency while decreasing end-to-end latency. However, D2D devices that underlay cellular networks are vulnerable to co-channel interference, which negatively impacting network performance. Another factor that could also affect network performance and reduce the quality of service is inter-carrier interference in the orthogonal division multiple access (OFDMA) system. Most research has concentrated on co-channel interference only. This study aims to optimize network performance in the presence of both co-channel interference and OFDMA inter-carrier interference (ICI)-based multicast D2D underlay cellular networks. In comparison to different optimization techniques, the simulation results show that the proposed genetic algorithm (GA) achieves a cumulative distribution function of 0.5 at a capacity of 70 Mbps, compared to 5.5 and 6.5 for the greedy search algorithm (GSA) and binary power control (BPC), respectively. It shows the capability of successfully maintaining high network performance. © 2024 IEEE.

关键词： Genetic algorithms

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Tunnel ventilation control system based on Levy Flight Dynamics Improved Particle Swarm optimization Algorithm 3

Tunnel ventilation control system based on Levy Flight Dynam...

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3rd international conference on Energy and Power Engineering, control Engineering (EPECE)

作者： Huang, Dahao Mu, Li Xian Polytech Univ Sch Comp Sci Xian Peoples R China

ISBN: (纸本)9798350366105;9798350366099

Due to the swift progress of China's transportation sector, the quantity of constructed tunnels in the country is on the rise. The majority of current road tunnels have imprecise or fragmented controls to regulate the activation of the tunnel's ventilation system. However, employing these strategies is likely to lead to unnecessary electricity use and higher operational expenses. This paper introduces an enhanced particle group optimisation algorithm (LD-IPSO) for optimising the ventilator control model in tunnels. The algorithm aims to achieve more precise control of the ventilation group during tunnel operation, enhance fan utilisation, decrease power consumption in road tunnel ventilation, and enhance tunnel operation safety. The utilisation of the Levy Flight Avoidance algorithm in this paper is *** enhance the precision and effectiveness of particle search, the utilisation of adaptive inertia weights and adaptive learning factors ensures a harmonious equilibrium between the particles' global and local search capabilities. Four test functions were chosen for evaluation, and the LD-IPSO algorithms demonstrated superior result quality compared to the PSO method, the genetic algorithm, the artificial fish stocks algorithm, and the simulated bees stocks algorithm. Ultimately, the system's effectiveness is evaluated by comparing it to the scenario of a tunnel fan opening. The simulation findings demonstrate that the LD-IPSO algorithm can achieve more precise optimisation of the number of fan openings in real-world situations, resulting in reduced energy consumption during fan operation.

关键词： Improved PSO algorithm Levy flight Ventilator start optimization Adaptive inertia weights Adaptative learning factor

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control and Modelling of Brushless DC Motor 3

Control and Modelling of Brushless DC Motor

引用

3rd international conference on Power Electronics and IoT applications in Renewable Energy and its control, PARC 2024

作者： Singh, Shantanu Kumar National Institute of Technology Calicut Electrical Engineering Department Bihar Gopalganj841405 India

ISBN: (纸本)9798350309409

Permanent magnet motors, often referred to as brushless direct current (BLDC) motors, are highly efficient, dependable, long-lasting, and controllable, making them suitable for a variety of applications. BLDC motor drives are highly sought after due to their exceptional torque to inertia ratio and power density. Because of the minimal inductance and running mode of square wave, torque oscillations start to rise. A DC-DC converter uses the commutation events mapped by Hall detectors to adjust the voltage of the DC bus and optimize the current waveform to provide a smooth torque. This study offers validation of the simulation results. A current experiment is being validated at the moment. © 2024 IEEE.

关键词： DC-DC converters

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Grey Wolf optimization Based MPPT Tracking of Standalone PV System for BLDC applications 3

Grey Wolf Optimization Based MPPT Tracking of Standalone PV ...

引用

3rd IEEE international conference on Intelligent Techniques in control, optimization and Signal Processing, INCOS 2024

作者： Ashok Kumar, B. Janarthanan, Rajeswari Shanmugavelu, Senthilrani Sanjai, Praveen Mothiga Shivani, J. Thiagarajar College of Engineering Department of Eee Tamilnadu India Velammal College of Engineering and Technology Department of Eee Tamilnadu India

ISBN: (纸本)9798350361186

Standalone PV systems are autonomous power systems that use solar panels to generate electricity and do not rely on the grid for power. To lower the cost and boost efficiency of solar power generation in remote regions, the MPPT controllers have been employed. Design of standalone PV systems with suitable MPPT in rural areas shows better performance. Such systems performance can be further improved by using various optimization techniques. One such optimization technique is Grey Wolf optimization (GWO). GW based optimization is used to optimize the sizing of PV panels and inverters in standalone PV systems. Apart from these, it can be used for the selection of suitable PV technology and its location for yielding enhanced performance. The proposed optimization technique is effective in finding the optimal solution in a shorter time compared to other optimization methods. GWO has been shown to achieve maximum of 2765 rpm in finding the optimal switching sequence for BLDC motor applications, leading to improved torque, power and efficiency. GWO based MPPT control of solar PV generation for BLDC motor was developed. By simulating the proposed system with MATLAB/Simulink, the appropriateness of the system for different perturbations is assessed. © 2024 IEEE.

关键词： Solar panels

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