This work deals with a simple algorithm to define the dc current reference of a CSI-UPQC aimed to reduce its losses. The proposal uses the mathematical model of the CSI-UPQC to demonstrate the relationship between the...
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Stable matching is a fundamental problem studied both in economics and computer science. The task is to find a matching between two sides of agents that have preferences over who they want to be matched with. A matchi...
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In microgrid systems, virtual synchronous generator (VSG) serves as an interface to various distributed power sources, which can effectively improve the inertia and damping of the system. The VSG system under conventi...
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ISBN:
(纸本)9798350377477;9798350377460
In microgrid systems, virtual synchronous generator (VSG) serves as an interface to various distributed power sources, which can effectively improve the inertia and damping of the system. The VSG system under conventional linear control has low control accuracy and poor perturbation resistance, to which this paper introduces adaptive perturbation compensation on the basis of conventional sliding mode control, which improves the robustness of the system on the basis of ensuring the stability of the system. Meanwhile, for the problem that reactive power cannot be proportionally distributed and circulating current is generated due to the inconsistency of line impedance when multiple VSGs are connected in parallel, a consensus-based adaptive virtual impedance control strategy is proposed, which realizes the precise distribution of reactive power and effectively suppresses the circulating current at the same time. Finally, the reliability and superiority of the above control strategy are verified by simulation.
Amidst the explosive growth of multimedia data, the security and reliability of multimedia broadcasting networks are perennially challenged. Traditional broadcasting networks dependent on centralized server clusters f...
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ISBN:
(纸本)9798350364279;9798350364262
Amidst the explosive growth of multimedia data, the security and reliability of multimedia broadcasting networks are perennially challenged. Traditional broadcasting networks dependent on centralized server clusters face severe usability damage when confronted with security threats such as network attacks, data tampering, and privacy breaches. To address these issues currently confronting multimedia data broadcasting networks, this paper proposes a construction method for a multi-layered multimedia data broadcasting network based on blockchain oracles. Experimental results indicate that this method can ensure the authenticity, traceability, and immutability of broadcast content during the multimedia data broadcast process. While ensuring data consistency and system robustness in the multimedia data broadcast process, it also offers excellent scalability.
We present the first spectrum symmetry-free model for the routing and spectrum assignment (RSA) problem. This model allows for the design of more efficient algorithms as it eliminates from consideration an exponential...
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ISBN:
(纸本)9781728190549
We present the first spectrum symmetry-free model for the routing and spectrum assignment (RSA) problem. This model allows for the design of more efficient algorithms as it eliminates from consideration an exponential number of equivalent symmetric solutions. By sidestepping symmetry, the RSA solution space is naturally and optimally decomposed into a routing space and a connection permutation space. Building upon this property, we introduce a two-parameter, symmetry-free algorithm that is universal in that it can be used to tackle any RSA variant in a uniform manner. The algorithm is amenable to multi-threaded execution to speed up the search process and the value of the parameters can be adjusted to strike a balance between running time and solution quality. Our evaluation provides insight into the relative benefits of path diversity (which determines the size of the routing space) and connection diversity (which determines the size of the permutation space).
This paper studies the distributed least-squares optimization problem with differential privacy requirement of local cost functions, for which two differentially private distributed solvers are proposed. The first is ...
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ISBN:
(纸本)9798350382662;9798350382655
This paper studies the distributed least-squares optimization problem with differential privacy requirement of local cost functions, for which two differentially private distributed solvers are proposed. The first is established on the distributed gradient tracking algorithm, by appropriately perturbing the initial values and parameters that contain the privacy-sensitive data with Gaussian and truncated Laplacian noises, respectively. Rigorous proofs are established to show the achievable trade-off between the (epsilon, delta)-differential privacy and the computation accuracy. The second solver is established on the combination of the distributed shuffling mechanism and the average consensus algorithm, which enables each agent to obtain a noisy version of parameters characterizing the global gradient. As a result, the least-squares optimization problem can be eventually solved by each agent locally in such a way that any given (epsilon, delta)-differential privacy requirement can be preserved while the solution may be computed with the accuracy independent of the network size, which makes the latter more suitable for large-scale distributed least-squares problems. Numerical simulations are presented to show the effectiveness of both solvers.
In this work, we study the parallel complexity of the geometric minimum-weight bipartite perfect matching (GWBPM) problem in 2. Here our graph is the complete bipartite graph G on two sets of points A and B in 2 (|A| ...
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We consider several problems of finding the subsets with the largest minimal cardinality and limited scatter in a finite set of points in Euclidean space. For each cluster, the scatter is the sum of the distances (rai...
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This paper solved the problem of student-university mismatch by applying Stable matching theory which is a mathematical framework for mutually beneficial relationships over time. Our approach, named Stable matching fo...
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Linkage methods are among the most popular algorithms for hierarchical clustering. Despite their relevance the current knowledge regarding the quality of the clustering produced by these methods is limited. Here, we i...
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Linkage methods are among the most popular algorithms for hierarchical clustering. Despite their relevance the current knowledge regarding the quality of the clustering produced by these methods is limited. Here, we improve the currently available bounds on the maximum diameter of the clustering obtained by complete-linkage for metric spaces. One of our new bounds, in contrast to the existing ones, allows us to separate complete-linkage from single-linkage in terms of approximation for the diameter, which corroborates the common perception that the former is more suitable than the latter when the goal is producing compact clusters. We also show that our techniques can be employed to derive upper bounds on the cohesion of a class of linkage methods that includes the quite popular average-linkage. Copyright 2024 by the author(s)
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