We investigate the dynamics of opinion formation on social networking platforms, focusing on how individual opinions, influenced by both social connections and platform algorithms, evolve. We model this process using ...
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We study the problem of dynamically maintaining the connected components of an undirected graph subject to edge insertions and deletions. We give the first parallel algorithm for the problem which is work-efficient, s...
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Internet broadband usage is increasing dramatically as the number of Internet of Things (IoT) devices in smart homes that rely on Internet connectivity for effective communication between them grows. As a result, many...
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ISBN:
(纸本)9781665434942
Internet broadband usage is increasing dramatically as the number of Internet of Things (IoT) devices in smart homes that rely on Internet connectivity for effective communication between them grows. As a result, many network and Internet communication issues arise, including network traffic congestion, insecurity, high connection rates, and excess bandwidth waste. This work aims to create a secure and decentralized smart marketplace (SMP) for a fair, transparent, robust, and less expensive way of trading excess or idle traffic from a smart home by directly paying the owner of the bandwidth. The internet bandwidths may initially come from a direct Tel-com product or from other users (smart homeowners) who decide to sell their excess Internet bandwidth. The research was carried out by integrating a given smart marketplace scenario with blockchain technology using proof-of-authority (PoA) consensus mechanism. The simulation results show that the model is more reliable and appears to be an efficient solution to dealing with excess bandwidth waste and offering safe excess bandwidth trading within a smart city. Besides, the excess bandwidth wastage is controlled at least by 75% by making it available in the SMP for buyers.
It is known that a basis is almost greedy if and only if the thresholding greedy algorithm gives essentially the smallest error term compared to errors from projections onto intervals or in other words, consecutive te...
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Neural networks (NN) excel in diverse tasks but can produce nonsensical results due to their exclusive reliance on (input, output) pairs, often conflicting with human knowledge. Injecting human knowledge via output co...
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Energy Storage Systems (ESS) are vital to improving the reliability of an islanded Micro-grid (MG). In this paper, a distributed control strategy integrated with multi-agent-based average consensus algorithm is presen...
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ISBN:
(数字)9781728185507
ISBN:
(纸本)9781728185507
Energy Storage Systems (ESS) are vital to improving the reliability of an islanded Micro-grid (MG). In this paper, a distributed control strategy integrated with multi-agent-based average consensus algorithm is presented for the Distributed Energy Storage Systems (DESS) in islanded AC micro-grid. A hierarchical control structure is implemented that consists of three control levels, i.e.: inner controls, primary controls, and secondary controls. The secondary control layer consists of estimators for injected power, SoC, and system frequency. Power sharing is achieved with SoC based adaptive droop control. The multi-agent based average consensus algorithm is implemented to obtain average estimate of SoC, frequency and active power. A voltage compensation method is given to ensure that the voltage of PCC is within the acceptable range. The simulation studies carried out, verify that the proposed control strategy can ensure accurate power sharing among DESS and restore voltage and frequency to a nominal accepted range.
This paper considers a novel online fair division problem involving multiple agents in which a learner observes an indivisible item that has to be irrevocably allocated to one of the agents while satisfying a fairness...
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This paper presents a unified framework for constructing Approximate Message Passing (AMP) algorithms for rotationally-invariant models. By employing a general iterative algorithm template and reducing it to long-memo...
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With the problems of data sharing and information diddling in the field of education, we construct a highly available education consortium blockchain platform to ensure trusted sharing and privacy protection of educat...
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With the problems of data sharing and information diddling in the field of education, we construct a highly available education consortium blockchain platform to ensure trusted sharing and privacy protection of education data. We employ erasure codes to process blockchain ledger files and optimize the data storage model according to the characteristics of education data, which can reduce the storage volume effectively. A HotStuff consensus algorithm is designed to access the ordering service of Hyperledger Fabric. A suitable educational blockchain network architecture based on the node complexity of education scenarios is proposed to achieve the high availability of the platform. To manage the education blockchain network, we implement the Fabric deployment based on Kubernetes and achieve the goal of including chaincode into Kubernetes environmental management. To improve the resource utilization of chaincode, we explore the new way of chaincode management by the functional computing service. Finally, on the premise of ensuring a 1/2 fault tolerance rate, the total ledger has decreased by 53.56%. Our platform enhanced the Byzantine fault tolerance while ensuring higher efficiency. Experimental results show that our platform is quite suitable for education scenario with many nodes.
This paper proposes an efficient HOT algorithm for solving the optimal transport (OT) problems with finite supports. We particularly focus on an efficient implementation of the HOT algorithm for the case where the sup...
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