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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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Enhancing Node Selection in Blockchain-Enabled Edge internet of Things (IoT): A Fuzzy Logic Approach for Improved performance 7

Enhancing Node Selection in Blockchain-Enabled Edge Internet...

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7th International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2023

作者： Imamguluyev, Rahib Hasanov, Ashraf Mikayilova, Rena Odlar Yurdu University Department of It and Engineering Baku Azerbaijan Western Caspian University Philosophy in Economics Baku Azerbaijan Azerbaijan State University of Economics Department of Digital Technologies and Applied Informatics Baku Azerbaijan

ISBN: (纸本)9798350341485

The rise of connected and smart devices has heightened the demand for robust internet of Things (IoT) applications, necessitating enhanced data storage and processing. Traditional cloud-based IoT systems, often distant from users, grapple with issues like server load, slow responses, and limited mobility. Edge computing counters some of these problems by bringing processing closer to users. Selecting appropriate nodes also addresses common IoT challenges such as network lifetime, resource allocation, and data reliability, ensuring optimal intervals for node selection. Integrating edge and blockchain tech in IoT introduces new perspectives on access control design. This study introduces an innovative approach using fuzzy logic for node selection in blockchain-powered edge IoT. Fuzzy logic processes numeric and linguistic data concurrently, alongside the Technique of Preference Ranking by Similarity of Ideal Solution (TOPSIS) for Multi-Criteria Decision Making (MCDM). This fuzzy-based method enhances IoT node selection efficiency, with three entry criteria, significantly ameliorating considered parameters, as demonstrated by experimental results. © 2023 IEEE.

关键词： Fuzzy logic

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Channel Estimation Algorithm for IM/DD-OFDM/OQAM-PON System in Industrial internet Based on Compressed Sensing

Channel Estimation Algorithm for IM/DD-OFDM/OQAM-PON System ...

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IEEE International conference on Communications (ICC)

作者： Liang, Siyuan Wang, Chunting Cao, Haotong Feng, Jie Sun, Wenle Xian Univ Posts & Telecommun Xian Peoples R China Nanjing Univ Posts & Telecommun Jiangsu Key Lab Wireless Commun Nanjing Peoples R China

ISBN: (纸本)9781665426718

High-quality and low-latency communication in the three major application scenarios of 5G mobile communication technology is a guide for future technological development. The Industrial internet needs to deal with the data transmission tasks of large-traffic mobile bandwidth and ultra-low *** Frequency Division Multiplexing/Offset Quadrature Amplitude Modulation (OFDM/OQAM) passive optical network (PON) systems are affected by inherent imaginary interference (IMI), part of which is generated by the chromatic dispersion (CD) of optical fiber systems. Another part is produced by polarization mode dispersion (PMD). This paper proposes a channel estimation (CE) algorithm based on compressed sensing (CS), where the signal exhibits sparsity through sparse representation, and the signal reconstruction algorithm of compressed sensing adopts the orthogonal matching pursuit algorithm (OMP). The channel transfer function (TF) can effectively reduce the IMI and make the signal accuracy of the receiving end higher. Simulation results show that CS-CE algorithm can improve the system performance, which is better than the traditional LS method. Compared to existing LS methods, the CS algorithm can accomplish a 20% improvement. The algorithm can reduce the bit error rate of the system and improve the reliability of the system.

关键词： OFDM/OQAM Passive Optical network(PON) Channel estimation(CE) Compressed Sensing (CS)

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Decentralized Blockchain network 10

Decentralized Blockchain Network

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10th International conference on Advanced Cloud and Big Data (CBD)

作者： Abduljabbar, Tamara Abdulmunim Tao, Xiaohui Zhang, Ji Yong, Jianming Zhou, Xujuan Univ Southern Queensland Sch Math Phys & Comp Toowoomba Qld Australia Univ Southern Queensland Sch Business Springfield Qld Australia

ISBN: (纸本)9798350309713

Recommender systems strongly affect a company's profitability and regularly play a significant role in the success of companies' sales policies. Companies are now collecting vast amounts of user information to make sure they can use recommender systems and related algorithms for recommending products and services according to customer needs, preferences, and likenesses. Unfortunately, privacy concerns prevent users from sharing data generously with interested companies, even if the quality of the recommendations would be improved. One way to overcome privacy-related issues is using a secured solution, such as blockchain technologies for privacy-based applications. Integrating blockchain technology and the internet of Things creates modern decentralized systems. The integration gives scalability and security to recommender systems. This research calls for innovative and advanced research on Blockchain and recommendation systems. We constructed a blockchain-based recommender system using "the Movielens" dataset. Learning case studies include a model to recommend movies to users. The accuracy of models is evaluated by an incentive mechanism that offers a fully trust-based recommendation system with acceptable performance.

关键词： Recommender systems Blockchain Privacypreserving Decentralized system Ethereum

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Multiresource allocation in dynamic MEC systems: a continual learning-based approach 3

Multiresource allocation in dynamic MEC systems: a continual...

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3rd International conference on Electronic Information Engineering, Big Data, and Computer Technology, EIBDCT 2024

作者： Zhan, Shutao Mao, Jin Chu, Zhipeng Xiong, Ke Fan, Pingyi Letaief, Khaled B. Eng. Res. Center of Network Management Technology for High Speed Railway of Ministry of Education School of Computer and Information Technology Beijing Jiaotong University Beijing100044 China National Engineering Research Center of Advanced Network Technologies Beijing Jiaotong University Beijing100044 China Collaborative Innovation Center of Railway Traffic Safety Beijing Jiaotong University Beijing100044 China Department of Electronic Engineering Tsinghua University Beijing100084 China Department of Electrical and Computer Engineering Hong Kong University of Science and Technology Hong Kong Hong Kong

ISBN: (纸本)9781510680449

Recently, mobile edge computing (MEC) has been considered as a promising solution to address the challenges arising from the growing computationally intensive applications and limited computation capability of mobile devices. Thus, the resource allocation is crucial for ensuring the system performance of MEC. Recent deep learning-based resource allocation (DLRA) methods achieve preferable performance in real-time. However, in practical scenarios, the number of users often changes, which leads to a decrease in the performance of DLRA methods. Thus, once the number of users changes, the traditional DLRA methods need to retrain their neural networks, which consumes a lot of computing resources. To address this issue, this paper proposes a continual learning-based resource allocation (CLRA) method to jointly optimize multiple resource including offloading decision, power control, time slot assignment and computation resource distribution in MEC system. Our CLRA method is able to avoid forgetting previous knowledge when the number of users in the MEC system changes by selecting a small number of the most representative samples from the past and relearning. Experimental results show that, our proposed CLRA method achieves a better performance than the traditional DLRA method in terms of the higher quality of service's (QoS's) satisfaction rate and the less energy consumption. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Resource allocation

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11th International conference on High-performance Computing systems and Technologies in Scientific Research, Automation of control and Production, HPCST 2021

11th International Conference on High-Performance Computing ...

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11th International conference on High-performance Computing systems and Technologies in Scientific Research, Automation of control and Production, HPCST 2021

ISBN: (纸本)9783030941406

The proceedings contain 32 papers. The special focus in this conference is on High-performance Computing systems and Technologies in Scientific Research, Automation of control and Production. The topics include: Mathematical Simulation of Coupled Elastic Deformation and Fluid Dynamics in Heterogeneous Media;numerical Modeling of Electric and Magnetic Fields Induced by External Source in Frequency Domain;improving the Heterogeneous Computing Node performance of the Desktop Grid When Searching for Orthogonal Diagonal Latin Squares;visual Metamodeling with Verification Based on Surrogate Modeling for Adaptive Computing;recognition Algorithms Based on the Selection of 2D Representative Pseudo-objects;applied Interval Analysis of Big Data Using Linear Programming Methods;parallel Computing in Problems of Classification of Teenagers Based on Analysis of Digital Traces;identification of Key Players in a Social Media Based on the Kendall-Wei Ranking;using Time Series and New Information Technologies for Forecasting Sugarcane Production Indicators;Calculation of Activation Functions in FPGA-Based Neuroprocessors Using the Cordic Algorithm;software and Methodology for the Design of System Dynamics Models Based on the Situation-Activity Approach;architecture of an Intelligent network Pyrometer for Building Information-Measuring and Mechatronic systems;implementation of a network-Centric Production Storage System in Distributed High-performance Computing systems;internet of Things for Reducing Commercial Losses from Incorrect Activities of Personnel;method of Constructing the Assigned Trajectory of a Multi-link Manipulator Based on the "Programming by Demonstration" Approach;developing a Microprocessor-Based Equipment control Panel for Rifle Sports Complexes;methods for Domain Adaptation of Automated systems for Aspect Annotation of Customer Review Texts;testing Methods for Blockchain Applications.

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Adaptive Forward Error Correction for Voice over IP with Random Linear network Coding

Adaptive Forward Error Correction for Voice over IP with Ran...

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Virtual conference on Communications (VCC), IEEE

作者： Yi-Chiuan Su Quincy Wu Dept. of Computer Science and Information Engineering National Chi Nan University Nantou Taiwan

ISBN: (数字)9798331530099

ISBN: (纸本)9798331530105

This paper proposes the use of Random Linear network Coding (RLNC) as an erasure code in the forward error correction (FEC) mechanism for internet telephony. It also designs and implements a forward error correction algorithm applied to the Real-time Transport Protocol (RTP), which we call Adaptive Systematic RLNC (AS-RLNC). The algorithm learns the current packet loss rate of the network through the Real-time Transport control Protocol (RTCP) and dynamically adjusts the number of redundant packets sent. Compared with traditional forward error correction methods based on block codes, this approach can enhance the reliability of data transmission and improve audio quality by 31%.

关键词： Transport protocols Systematics Adaptive systems Heuristic algorithms Packet loss Forward error correction network coding Real-time systems Reliability internet telephony

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A Reference Model for Information Security Applications of Generative Adversarial network Variants 23

A Reference Model for Information Security Applications of G...

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2023 International conference on Computer, Vision and Intelligent Technology, ICCVIT 2023

作者： Hong, Sheng Lai, Yizhong Li, Yuzhou You, Yang Ou, Shuai Han, Fei Wu, Tiejun School of Cyber Science and Technology Beihang University Beijing100191 China School of Information Engineering Nanchang University 330000 China School of Economics and Management Nanchang University Nanchang330000 China Power Dispatch and Control Center of State Grid Yan'an Power Supply Company Yan'an716000 China Nsfocus Technology Group Company Beijing100089 China

ISBN: (纸本)9798400708701

Information security stemming from Generative Adversarial network (GAN) variants has garnered significant attention. However, a complete reference model targeting this security problem has yet to be established. This paper selects several GAN variants as the research subject and proposes a reference model framework for the information security applications of adversarial generative network variants. The proposed framework is derived using the NIST information security reference model methodology. By conducting a comprehensive analysis of the structure and information security risks of GAN variants, this paper classifies information security attacks on information systems of GAN variants into three categories and maps them onto the security target reference model. The resulting security application reference model can serve as a basis and reference for improving system confidentiality, integrity, and availability, as well as facilitating the design, analysis, and verification of security against malicious attacks. Moreover, the research method employed in this paper is also applicable to information security research of other types of information systems. Therefore, the proposed reference model framework can serve as a valuable contribution to the field of information security and advance the development of effective countermeasures against adversarial generative network variants. © 2023 ACM.

关键词： Generative adversarial networks

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A New control Strategy of Hybrid Reactive Power Compensation System in Distribution network 4

A New Control Strategy of Hybrid Reactive Power Compensation...

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2023 4th International conference on Electrical, Electronic Information and Communication Engineering, EEICE 2023

作者： Mei, Xueao Yang, Wei Sun, Bin Datang Central South Electric Power Test Research Institute He Nan Zheng Zhou450000 China

Reactive power compensation is an important measure to improve the power quality of distribution networks, especially with the increasing connection of distribution transformers, heavy industrial electrical equipment, and asynchronous motors, which generate a large amount of reactive power demand. Traditional reactive power compensation devices, such as fixed capacitors (FC) and thyristor switched capacitors (TSC), have some drawbacks, such as low response speed, harmonic generation, and switching shock. A static synchronous compensator (STATCOM) is a flexible AC transmission system (FACTS) device that can provide fast and continuous reactive power compensation, but it also has some limitations, such as high cost, large capacity requirement, and low utilization rate. Therefore, hybrid reactive power compensation systems that combine FC or TSC with STATCOM have attracted much attention in recent years. Many researchers have proposed and studied different topologies and control methods of hybrid systems to overcome the disadvantages of single devices and achieve better performance. However, most of the existing hybrid systems are designed for low or medium-voltage distribution networks, and their performance under high-voltage distribution networks is still unclear. Moreover, the coordination control strategy of the hybrid system and its subsystems is also a key issue that affects the effectiveness and efficiency of reactive power compensation. In view of this, this paper aims to propose a TSC+STATCOM hybrid reactive power compensation system for high-voltage distribution networks, which optimizes the shortcomings of traditional reactive power compensation devices. The system uses the synergistic effect of TSC and STATCOM to achieve large-scale static reactive power and small-scale dynamic reactive power compensation and adopts a switching strategy based on an expert decision system. This paper introduces the working principle of each subsystem of the hybrid reactive

关键词： Static synchronous compensators

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Testing and Development of a Multi-Object Tracker Based on Deep Learning Techniques 1st

Testing and Development of a Multi-Object Tracker Based on D...

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1st International conference on Machine Intelligence for Research and Innovations, MAiTRI 2023

作者： Rajput, Shaurya Verma, Sourabh Verma, Om Prakash Gupta, Himanshu Sharma, Tarun Ateya, Abdelhamied A. Centre for Artificial Intelligence Dr. B.R. Ambedkar National Institute of Technology Jalandhar Punjab Jalandhar India Department of Instrumentation and Control Engineering Dr. B.R. Ambedkar National Institute of Technology Jalandhar Punjab Jalandhar India Department of Computer Science-Internet of Things ABES Institute of Technology Ghaziabad201009 India University Meerut India Department of Electronics and Communications Engineering Zagazig University Sharqia Zagazig44519 Egypt EIAS Data Science Lab College of Computer and Information Sciences Prince Sultan University Riyadh11586 Saudi Arabia

ISBN: (纸本)9789819981342

In today’s scenario, computer vision is one of the fundamental research areas of artificial intelligence including object detection and object tracking which are the upcoming trends. In the present work, the TransTrack model has been reimplemented which includes ResNet50 as a backbone network. Further, to improve the overall performance of the TransTrack model, some recently developed backbones such as ResNet152 and SwinT have been incorporated. Moreover, to test the optimum training of the existing model, it has been retrained for higher epochs (such as 160 epochs). However, the accuracy of the existing tracker has improved significantly as the number of epochs increases but, at the same time, it increases the computational complexity. On the contrary, when the existing tracker (yields 68.4% accuracy with ResNet50) is incorporated with ResNet152 and SwinT, the performance has significantly improved (71% for ResNet152 and 71.6% for SwinT) by 1.7% and 2.1%, respectively. The mentioned analysis is enough to prove that the incorporation of a more efficient backbone has the potential to improve the performance of trackers. In the future, the newly introduced backbone may open the window to improve the performance of multi-object tracking (MOT). © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Object detection

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Multipath TCP Video Streaming Hand-Offs on LEO Satellite/5G Cellular networks

Multipath TCP Video Streaming Hand-Offs on LEO Satellite/5G ...

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IEEE Pacific Rim conference on Communications, Computers and Signal Processing

作者： Yosuke Komatsu Dirceu Cavendish Daiki Nobayashi Takeshi Ikenaga Graduate School of Engineering Kyushu Institute of Technology Fukuoka Japan Faculty of Engineering Kyushu Institute of Technology Fukuoka Japan

ISBN: (数字)9798350362312

ISBN: (纸本)9798350362329

Video streaming makes most of internet traffic nowadays, being transported over Hypertext Transfer Protocol/Transmission control Protocol (HTTP/TCP). Being the pre-dominant transport protocol, TCP stack performance in transporting video streams has become paramount, specially with regard to MultiPath Transport control Protocol (MPTCP) innovation and multiple client device interfaces currently available. Recently, Low Orbit Satellite networks have become available as a way to cover remote locations where cellular coverage is spotty at best with internet access. In this paper, we evaluate video streaming hand-off performance via cellular and LEO links. Such scenario is commonplace in geographical areas where cellular communication is unreliable, such as disaster and conflict torn situations. We provide an extensive analysis of Bottleneck Bandwidth and Round-trip propagation time (BBR) TCP variant, as well as CUBIC when handing off video streams between terrestrial cellular network (5G) and LEO (Starlink) access networks. We use network performance level, as well video quality level metrics to characterize quality of video streaming over TCP variants.

关键词： performance evaluation Cellular networks Transport protocols Technological innovation Satellites Streaming media internet MPTCP Streams Video recording

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