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

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SDNaaS: Software-Defined networking as an IXP Service

SDNaaS: Software-Defined Networking as an IXP Service

引用

IEEE conference on network Function Virtualization and Software Defined networks (IEEE NFV-SDN)

作者： Mendoza, John Robert Frias, Levin Austria, Isabel Festin, Cedric Ocampo, Roel Univ Philippines Diliman Elect & Elect Engn Inst Quezon City Philippines Univ Philippines Diliman Adv Sci & Technol Inst Dept Sci & Technol Quezon City Philippines Univ Philippines Diliman Dept Comp Sci Quezon City Philippines

ISBN: (数字)9781665473347

ISBN: (纸本)9781665473347

network operators need to manage the full lifecycle of controller instance clusters to ensure a high-performance and reliable distributed control plane service for software-defined networks (SDN). However, setting up and configuring multiple controller instances is a resource-intensive and complex process. Outsourcing to a third-party provider may alleviate the challenges associated with managing and orchestrating hardware and software infrastructure required for operating a distributed SDN control plane. We present SDN-as-a-Service (SDNaaS), an internet exchange point-based SDN control plane service provider. We analyzed public IXP datasets and show that these internet infrastructures possess desirable characteristics for hosting missioncritical network services. By leveraging IXP strengths, and implementing techniques for coordinating disparate resources (aggregating capacity), compartmentalizing controller services (decoupling controller functions into distinct yet composable services), and client-side resource discovery (delegating controller selection to switches), SDNaaS can provide the capability for network operators to scale controller processing capacity by as much as 2.6x as compared to single site while concurrently enhancing system availability.

关键词： Mission critical systems Decentralized control Process control Software Hardware internet Software reliability

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Research on Anti-noise Activation Function Based on LIF Biological Neuron Model 10th

Research on Anti-noise Activation Function Based on LIF Biol...

引用

10th International conference on Communications, Signal Processing, and systems

作者： Li, Fengxia Wang, Shubin Kang, Yajing Inner Mongolia Univ Coll Elect Informat Engn Hohhot Peoples R China

ISBN: (纸本)9789811903908;9789811903892

In the environment of internet of vehicles ranging, the image sensor works for a long time, and the brightness is not enough or uneven when shooting, which will produce noise, resulting in poor image quality. In this paper, based on the LIF (Leaky Integrate-And-Fire) biological neuron modelwith noise immunity, NST (Noisy Softplus and Tanh) activation function is proposed and applied to PSM-Net to effectively overcome the influence of noise on image quality. TheNST function is used to fit the responsemechanism of LIF model, and the unknown a are added to make the NST function curve change with the change of input noise, so it has anti-noise performance. On this basis, the non monotonic property is added to the negative half axis to improve the processing accuracy of the function in the deep network. Experiments show that NST function is stable in the presence of noise input, and the error value is 13.504 lower than ReLU function in the presence of large noise input with variance value of 0.2, which effectively improves the processing accuracy of binocular stereo disparity prediction network.

关键词： internet of vehicles Activation function LIF biological neuron model Noise immunity

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Formation of Second-Order Multi-Agent systems with Link quality Aware control 8

Formation of Second-Order Multi-Agent Systems with Link Qual...

引用

8th International conference on control, Instrumentation and Automation, ICCIA 2022

作者： Rajabi, Ali Asghar Izadi, Iman Nabi, Majid Isfahan University of Technology Department of Electrical and Computer Engineering Isfahan84156-83111 Iran

ISBN: (纸本)9781665495691

control of multi-agent systems has attracted much attention in the past decade, due to its ever-increasing use in unmanned autonomous vehicles and mobile robots. In mobile multi-agent systems, the network used for communication should be wireless. Due to the movements of the agents and environmental effects such as interference, noise, and multipath propagation, the quality of the communication link in low-power wireless networks can vary over time. Changes in the link quality can reduce the credibility of the data received from neighbors. Using low credibility data increases the probability of system error, increases the formation time, and can even cause overall instability. This study proposes a method to use link quality measures to determine the neighborhood of each agent and form the control signal. Simulation results show the performance of the proposed method. © 2022 IEEE.

关键词： Multi agent systems

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network Traffic Prediction and Congestion control Using a Feed Forward Neural network

Network Traffic Prediction and Congestion Control Using a Fe...

引用

International IEEE conference on Intelligent systems, IS

作者： JohnPaul Nwigwe Iain Martin Craig Ramsay School of Science and Engineering (Computing) University of Dundee United Kingdom

ISBN: (数字)9798350350982

ISBN: (纸本)9798350350999

The surge in internet of Things (IoT) usage has precipitated the need to replace classical internet network prediction and congestion control methods with a more efficient and reliable learning-based approach. Many machine-learning based approaches have been offered by different studies to solve this problem but not without limitations. In this study, we propose a new feed forward neural network with a multi-channel routing congestion control system (FFNN-MCRCCS) to optimize network prediction and congestion control problem. The nodes in the proposed network are mutually connected to enable the firing of neurons in a more decentralized manner to update their weights in order to call the recursive square function to predict the traffic. The exponent value of the recursive function serves as a parameter to determine the channel with the minimum congestion threshold for packet transmission. The results of the experiment show that the proposed model has the capability to optimize network traffic for effective utilization of network resources more than the baseline and the counterpart methods. The performance evaluation metrics used for the experiment include mean square error throughput, link utilization, average jitter, settling time, queue length and network and network convergence.

关键词： performance evaluation Neurons Telecommunication traffic Throughput Routing internet of Things Feeds Reliability Surges Biological neural networks

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performance Evaluation of a VSC-HVDC System Interlinked with a Passive network 2

Performance Evaluation of a VSC-HVDC System Interlinked with...

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2nd International conference on Energy Transition and Security, ICETS 2023

作者： Maatallah, Elabbes Berbaoui, Brahim Zemitte, Seddik Laidi, Abdallah Tahiri, Fadila Lakrim, Chahrazed Adrar Algeria

ISBN: (纸本)9798350372182

Every day, power transmission encounters numerous difficulties. The demand for power has surged, and because of population growth, urbanization, environmental concerns, and other factors, it is become harder to choose the best route for new lines. For long distances, high-voltage direct current (HVDC) transmission systems are more cost-effective than high-voltage alternating current (HVAC) transmission systems. In this paper, a Voltage Source Converter (VSC)-based HVDC link model is developed using MATLAB/SIMULINK. This relatively new technology has a number of benefits, including speed and the ability to control both active and reactive power across a 300-kilometer passive network of 15 KV and 50 Hz from an AC system operating at 400kV and 50 Hz. The outcomes from the system under study demonstrate that high voltage direct current connections enhance the reliability and stability of electrical networks and energy quality. © 2023 IEEE.

关键词： Electric power transmission networks

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Bayesian network and Semidefinite Programming Based Wireless Power Transfer Manufacturing System State Estimation and Regulation 24

Bayesian Network and Semidefinite Programming Based Wireless...

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24th International conference on Advanced Communication Technology (ICACT) - Artificial Intelligence Technologies toward Cybersecurity

作者： Rana, Md Masud Dahotre, Narendra Univ North Texas Dept Mat Sci & Engn Denton TX 76203 USA Univ North Texas Coliege Informat Sci Denton TX 76203 USA

ISBN: (纸本)9791188428090

In order to supply energy to the smart objects such as electric vehicles and smart phones using wireless power transfer (WPT) framework, the internet of things (IoT) embedded sensors and actuators can play critical roles for sensing, monitoring and regulating the WPT system states. Specifically, the smart sensors are used to transmit sensing state information to the control center, where the state estimation program runs to know the operating and health conditions of WPT system. This study proposes a Bayesian network based WPT system state estimation algorithm. This scheme can estimate the WPT system states in a distributed way using the Bayesian tree structure. Afterwards, the semidefinite programming based optimal feedback control scheme is proposed to regulate the system states. Simulations results show that the proposed approach provides significant performance improvement compared with the existing scheme.

关键词： Bayesian network controller internet of things sensors semidefinite programming system state estimation wireless power transfer systems.

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Enhancing privacy protection in intelligent and connected vehicles: a styleGAN3-based image desensitization dataset and framework 4

Enhancing privacy protection in intelligent and connected ve...

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4th International conference on Advanced Algorithms and Neural networks, AANN 2024

作者： Wang, Jingyan Wang, Liyong Ji, Haojie Fang, Junzhe Guo, Teng Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science & Technology University No.12 Xiaoying East Road Haidian District Beijing100192 China Zaozhuang Network Security Center No. 2621 Guangming Avenue Xuecheng District Shandong Province 277020 China

ISBN: (纸本)9781510686106

Intelligent and connected vehicles (ICVs) collect vast video footage, inadvertently capturing privacy-sensitive data. To address this, we introduce the IDD-ICV dataset, featuring diverse in-vehicle camera footage. To protect privacy, we propose a styleGAN3 based framework that integrates MHA (Multi-Head Attention) for detecting and desensitizing facial data in datasets. This approach ensures compliance with data security standards and enhances ICVs' privacy protection capabilities during the life cycle of data. Our study contributes to the development of secure and trustworthy autonomous transportation systems by demonstrating the effectiveness of our framework in safeguarding privacy-sensitive information. © 2024 SPIE.

关键词： Differential privacy

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Traffic control Analysis in High Altitude Platforms using a Semi-Markov Process Approach 18

Traffic Control Analysis in High Altitude Platforms using a ...

引用

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

作者： Raj, Raina Selvamuthu, Dharmaraja Mishra, Deepak IIT Delhi Bharti School of Telecommunication Technology and Management New Delhi110016 India University of New South Wales School of Electrical Engineering and Telecommunications SydneyNSW2052 Australia

ISBN: (纸本)9798350391725

This study uses a cooperative communication approach to propose a traffic model for relay nodes in space-airground networks. The proposed model is employed in threelayer networks: low earth satellite (LEO), high altitude platform (HAP), and user devices on the ground. This type of aerial communication network is adopted in most internet of Things (IoT) networks. The analysis has been carried out by constructing traffic models. The traffic model has been analyzed by applying the semi-Markov process due to the non-exponential behaviour of some of the transitions of states. The network's practical lifetime, the average delay of source/relay packets, and throughput are investigated through the novel traffic model. Finally, through numerical illustrations, the impact of the performance measures is shown by conducting a sensitivity analysis. © 2024 IEEE.

关键词： Markov processes

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Structure Design and performance Analysis of Insulator Replacement Device Based on Live Working in A Distribution network

Structure Design and Performance Analysis of Insulator Repla...

引用

2022 International conference on Energy and Electrical Power systems, ICEEPS 2022

作者： Bian, Hairui Wang, Bin Jiang, Songting Gong, Fuxing Engineering Quality Education Center Hefei University of Technology Anhui Hefei230009 China Hefei Chuangwei New Material Technology Co. Ltd Anhui Hefei231299 China

In order to solve the problems of high risk and low automation of manual insulator replacement, a live working insulator replacement device is developed. Firstly, according to the shape parameters of insulators, the mechanical structure is composed of a positioning mechanism, a limiting mechanism, a clamping mechanism, and a driving mechanism. Secondly, the control system of the device is designed, and the mechanism is controlled by wireless remote control. Thirdly, the static simulation analysis of the clamping mechanism is carried out by using the finite element analysis software ANSYS Workbench. The simulation results show that the maximum elastic deformation is 0.14366mm, the stress distribution is relatively uniform, and the strain is small, meeting the structural design requirements. Finally, the motion control function test and insulation performance test of the device are carried out. The results show that the designed device has good insulation performance. It meets the needs of daily maintenance and emergency repair of distribution networks below 10kV and has high promotion and application value. © Published under licence by IOP Publishing Ltd.

关键词： Remote control

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A Pattern Recognition Neural network Approach for an SSVEP-Based Brain-Computer Interface 17

A Pattern Recognition Neural Network Approach for an SSVEP-B...

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17th IEEE International conference on Industrial and Information systems, ICIIS 2023

作者： Jayarathne, Sachintha K. Rajapakshe, Oshadhi P. Siriwardhana, Shashini M. Kim, Kwangtaek Dassanayake, Tharaka L. Harischandra, Nalin Wijayakulasooriya, Janaka Ranaweera, Ruwan University of Peradeniya Faculty of Engineering Department of Electrical and Electronic Engineering Peradeniya20400 Sri Lanka Kent State University Department of Computer Science KentOH44242 United States University of Peradeniya Faculty of Medicine Department of Physiology Peradeniya20400 Sri Lanka

ISBN: (纸本)9798350323634

This paper proposes an algorithm for feature extraction and classification for a Steady State Visual Evoked Potentials-based Brain-Computer Interface to control a device using four commands. An energy-based dataset created using Parseval's Energy Theorem is used for the feature extraction, while a Shallow Pattern Recognition Neural network is used in feature classification. Further, the algorithm's performance is evaluated for different numbers of channels and combinations, and 96.7% accuracy is obtained for 16 electroencephalogram channels. This study's findings can help to develop brain controlled devices and assistive technology for individuals with motor disabilities for an improved quality of life. © 2023 IEEE.

关键词： Feature extraction

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