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2024 IEEE International Conference on Big Data, BigData 2024

作者： Khan, Maleq Boddu, Sharon Texas A&m University-Kingsville Department of Electrical Engineering and Computer Science United States

ISBN: (纸本)9798350362480

Finding the connected components in a graph is a fundamental problem in graph theory and network science. A connected component in a graph is a maximal set of vertices such that there is a path between any two vertices in the component. In a serial setting, connected components can be efficiently computed by running a breadth-first search (BFS). However, BFS-based algorithms do not lead to good parallelization. At the early stage, parallel algorithms for the connected component problem were developed for the PRAM model and shared-memory systems. With the availability of big data and big graphs and the development of a new area called network science, there is a renewed interest in developing parallel algorithms for this problem. In recent years, a number of distributed-memory parallel algorithms have been developed. These algorithms are based on mainly Shiloach and Vishkin's PRAM algorithm, called the SV algorithm, or some variants of SV. In this paper, we present a PRAM algorithm, called SELP, which is elegant and significantly simpler than the SV algorithm. Based on SELP, we develop a distributed-memory parallel algorithm, called DSELP. In addition, we incorporate some novel techniques to minimize communications among the processors. Experimental results show that our algorithms outperform the recent state-of-the-art distributed-memory algorithms significantly on a wide variety of graphs, and scale very well to a large number of processors. © 2024 IEEE.

关键词： consensus algorithm

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Adaptive Current Differential Protection Method Based on the Hausdorff Distance algorithm 7

Adaptive Current Differential Protection Method Based on the...

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7th IEEE International Conference on Information Systems and Computer Aided Education, ICISCAE 2024

作者： Liang, Yuchen Chen, Haoran Sui, Sheng College of Electrical Engineering Shanghai University of Electric Power Shanghai China School of Electrical Engineering China University of Mining and Technology Xuzhou China Smic Network Academy Haikou University of Economics Haikou China

ISBN: (纸本)9798350350760

The integration of a large amount of distributed generation into the distribution network has changed its topology, and the traditional three-stage current protection method may have the possibility of mis-operation and rejection. Therefore, this paper proposes an adaptive current differential protection method based on the comparison of waveform similarity. After the fault, it extracts the information of positive current amplitude, and then introduces Hausdorff distance algorithm to quantify the waveform similarity, adjusts the braking coefficient of current differential protection according to the calculation results of Hausdorff distance, and realizes the accurate identification and processing of the fault. The simulation model of active distribution network is built in PSCAD/EMTDC. The simulation results show that this method can accurately operate under different fault types, fault locations, distributed power capacity, and transition resistance, and has high reliability and sensitivity. ©2024 IEEE.

关键词： consensus algorithm

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Density Peak Clustering algorithm Based on Natural Neighbor and Diffusion Assignment 24

Density Peak Clustering Algorithm Based on Natural Neighbor ...

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2024 International Conference on Cloud Computing and Big Data, ICCBD 2024

作者： Zhang, Zidan Xu, Hua Yang, Chongyang School of Artificial Intelligence and Computer Science Jiangnan University China

ISBN: (纸本)9798400710223

Density Peaks Clustering (DPC) algorithm identifies cluster centers based on local density and relative distance, disregarding the effect of the sample's environment on its density. This makes it challenging to identify cluster centers in low-density regions. Moreover, the single-step allocation strategy of DPC algorithm lacks fault tolerance. If a sample point is incorrectly allocated, it can trigger a cascade of subsequent allocation error. To solve the aforementioned issue, a density peak clustering algorithm based on natural neighbors and diffusion allocation (NNDA-DPC) is proposed. Firstly, the concept of natural neighbors is introduced, and the local density of sample points is redefined by considering the density of sample points and the environment in which the sample points are located. This is done to reduce the influence of the sparsity of class clusters on the selection of class cluster centers. The clustering centers are automatically determined by computing the decision value. Secondly, the natural neighbor points of the selected clustering centers are assigned to the corresponding clustering centers to form the initial microclusters. Finally, the initial microclusters are formed based on the remaining sample points and the initial clusters. The final clustering result is obtained by assigning the sample points based on the correlation between the remaining sample points and the initial clusters, which helps prevent the cascading effect of assignment errors. We compared the NNDA-DPC algorithm with DPC and its enhanced versions on artificial and UCI datasets. The experimental results demonstrate that the NNDA-DPC algorithm can efficiently cluster the datasets. © 2024 ACM.

关键词： consensus algorithm

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Computing Voting Rules with Elicited Incomplete Votes 24

Computing Voting Rules with Elicited Incomplete Votes

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25th Conference on Economics and Computation, EC 2024

作者： Halpern, Daniel Hossain, Safwan Tucker-Foltz, Jamie Harvard University United States

Motivated by the difficulty of specifying complete ordinal preferences over a large set of m candidates, we study voting rules that are computable by querying voters about t © 2024 Copyright held by the owner/aut... 详细信息

ISBN: (纸本)9798400707049

关键词： consensus algorithm

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Secured and delay-tolerant model for banking sector adopted in cheque processing based on smart contracts and processed on blockchain network

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INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED DEVELOPMENT 2022年第3-4期12卷 371-392页

作者： Sheetal, G. Shanmuga Rathinam, G. Shanmuga Presidency Univ Presidency Coll Dept Comp Applicat Bengaluru 560089 Karnataka India Presidency Univ Dept Comp Sci & Engn Bengaluru 560089 Karnataka India

The process of the cheque clearance system takes a long time, and trust a third-party intermediator to process them. But blockchain is immutable, forgery can be avoided, and transactions at each end are recorded in blockchain technology to avoid changes, so they remain permanently, which provides security. We have used smart contracts to automate the entire process. This paper proposes an Ethereum-based blockchain framework for cheque generation based on the token concept using smart contracts and processing them with a novel framework architecture replacing traditional processes. The improved model involves digital token using smart contracts, transferring the cheque to the beneficiary, approving the cheque by the bank, and updating the cheque status. The contracts are designed and aimed to be faster, more secure, and more convenient. The results showed that the proposed framework algorithm is linear to time complexity. The response time duration for processing contracts is reduced compared to the existing approach.

关键词： blockchain technology digital tokens smart contracts cheque Amdhal's law consensus algorithm banking delay-tolerant

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An overview on consensus-based distributed secondary control schemes in DC microgrids

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ELECTRIC POWER SYSTEMS RESEARCH 2023年 225卷

作者： Moradi, Majid Heydari, Mojtaba Zarei, Seyed Fariborz QOM Univ Technol Fac Elect & Comp Engn Qom Iran

Secondary control (SC) is the middle layer of the well-known hierarchical control structure, which plays an essential role in maintaining the desired operation of microgrids (MGs). Generally, SC layer is divided into three categories of decentralized, distributed, and centralized control schemes. Among them, distributed control strategy is superior to the decentralized and centralized ones in terms of effectiveness, reliability, and scalability. Accordingly, this paper presents a comprehensive overview on distributed secondary control (DSC) schemes in DC MGs, specifically focusing on consensus-based cooperative DSC schemes. In this overview, the consensusbased DSC methods are classified into five groups of dynamic consensus, leader-follower consensus, finitetime consensus, PI consensus, and event-triggered consensus. These consensus-based DSC strategies are investigated, reviewed, and assessed in detail. Furthermore, different case studies are provided to compare the performance and merits of different consensus-based cooperative DSC structures using time-domain simulations in MATLAB/Simulink environment. Key findings are provided, and finally, challenges ahead of future research are highlighted.

关键词： consensus algorithm Cooperative control DC microgrids Distributed control Distributed energy resources Hierarchical control Secondary control

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consensus-based distributed coordinated operation of active distribution networks with electric heating loads

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2023年第1期153卷

作者： Li, Shoudong Bao, Guangqing Zhang, Anan Lanzhou Univ Technol Sch Elect & Informat Engn Lanzhou 730050 Peoples R China Lanzhou Jiaotong Univ Sch Automat & Elect Engn Lanzhou 730070 Peoples R China SouthWest Petr Univ Sch Elect & Informat Engn Chengdu 610500 Peoples R China

Aiming at the problems of a large amount of communication information, changeable network topology, and communication failures in active distribution networks with electric heating loads, a consensus distributed coordinated operation method for active distribution networks considering communication failures is proposed. Firstly, a coordinated optimization model is established with the goal of maximizing the comprehensive benefits of agents in the active distribution network with electric heating loads. Then, the consensus variable for each agent is defined based on the coordinated optimization model. On this basis, the consensus variable of each agent is extracted using the Lagrange multiplier method and KKT optimal conditions;Finally, considering the impact of communication failures on the consensus-distributed coordinated operation of active distribution networks with electric heating loads, a modified variable is introduced in the iterative process to improve the consensusdistributed algorithm so as to eliminate the unbalanced power of the system. A 5-machine active distribution network example system is constructed for simulation verification. The results show that the improved consensus distributed method can eliminate the imbalance between supply and demand in the system under communication failures, and the application scenarios have strong robustness. After electric heating loads participate in the coordinated operation, it can promote the accommodation of new energy power and the economic operation of the system.

关键词： Communication failure Active distribution network consensus algorithm Electric heating loads Correction variable

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Multi-agent Adaptive Virtual Inertia Cooperative Control of AC/DC Micro-grid Based on Virtual Synchronous Generators 12

Multi-agent Adaptive Virtual Inertia Cooperative Control of ...

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IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS)

作者： Dou, Zhenlan Tang, Lianqing Zhang, Chunyan Yang, Haitao Han, Dong Jiang, Jingjing Xu, Dezhi State Grid Shanghai Municipal Elect Power Co Shanghai 200023 Peoples R China Jiangnan Univ Sch Internet Things Engn Wuxi 214122 Peoples R China State Grid Shanghai Shibei Elect Power Supply Co Shanghai 200072 Peoples R China

ISBN: (纸本)9798350321050

Driven by new energy technology, the scale of AC/DC micro-grid connected to the power grid is growing. In order to make distributed power source have similar inertia support and damping characteristics as synchronous generator (SG), virtual synchronous generator (VSG) technology is introduced into inverter control. To solve the problems of frequency consistency and oscillation in the parallel operation of multiple VSGs, a multi-agent adaptive virtual inertia cooperative control strategy based on VSGs is proposed. Firstly, an advanced control method based on phase-locked loop is introduced to suppress the impact of frequency and power caused by grid connection. Then, a multi-agent adaptive virtual inertia cooperative control strategy is proposed to shorten the adjustment time required for the system to reach stability and improve the transient performance of the system. Finally, the simulation experiment verifies that the proposed control strategy can make the frequency of the parallel VSGs reach the same quickly, weaken the oscillation phenomenon in the frequency regulation process, and improve the transient performance of the system.

关键词： Micro-grid Virtual Synchronous Generator consensus algorithm Seamless Switching Adaptive algorithm

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Smartphone Addiction Analysis Model Based on C5.0 algorithm 2

Smartphone Addiction Analysis Model Based on C5.0 Algorithm

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2nd IEEE International Conference on Networks, Multimedia and Information Technology, NMITCON 2024

作者： Wang, Li Bohai University College of Educational Science Jinzhou China

ISBN: (纸本)9798350372892

Smartphone addiction has become a serious social problem, and this article studies the scientific methods for analyzing smartphone addiction. Firstly, study the C4.5 algorithm model, describe the algorithm using mathematical formulas, and design the execution process of the C 4. 5 algorithm using a flowchart. Then, based on the C4.5 algorithm model, study the C 5.0 algorithm model, introduce more new technologies, and use the Cost sensitive tree to reduce the probability of high cost misjudgments;Improve accuracy through Boosting algorithm. Finally, experimental design and result analysis were conducted, using the mobile addiction index scale and self-control scale for data collection. During the experimental process, commonly used data mining algorithms were compared and analyzed to demonstrate the rationality of choosing the C 5. 0 algorithm. It was found that constructing a smartphone addiction analysis model based on the C5.0 algorithm provides fundamental work for building a smartphone addiction analysis platform and provides theoretical guidance for better effective treatment and prevention of smartphone addiction. The research results provide fundamental work for building a smartphone addiction analysis platform, and provide theoretical guidance for effective treatment and prevention of smartphone addiction. © 2024 IEEE.

关键词： consensus algorithm

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Online Learning with Bounded Recall 41

Online Learning with Bounded Recall

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41st International Conference on Machine Learning, ICML 2024

作者： Schneider, Jon Vodrahalli, Kiran Google United States

We study the problem of full-information online learning in the "bounded recall" setting popular in the study of repeated games. An online learning algorithm A is M-bounded-recall if its output at time t can be written as a function of the M previous rewards (and not e.g. any other internal state of A). We first demonstrate that a natural approach to constructing bounded-recall algorithms from mean-based no-regret learning algorithms (e.g., running Hedge over the last M rounds) fails, and that any such algorithm incurs constant regret per round. We then construct a stationary bounded-recall algorithm that achieves a per-round regret of Θ(1/√M), which we complement with a tight lower bound. Finally, we show that unlike the perfect recall setting, any low regret bound bounded-recall algorithm must be aware of the ordering of the past M losses - any bounded-recall algorithm which plays a symmetric function of the past M losses must incur constant regret per round. Copyright 2024 by the author(s)

关键词： consensus algorithm

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