We explore the use of local algorithms in the design of streaming algorithms for the Maximum Directed Cut problem. Specifically, building on the local algorithm of Buchbinder, Feldman, Seffi, and Schwartz [BFSS15] and...
详细信息
How to design fair and (computationally) efficient voting rules is a central challenge in Computational Social Choice. In this paper, we aim at designing efficient algorithms for computing most equitable rules for lar...
详细信息
Recent advances in low-cost microcontrollers have enabled innovative smart home applications. However, existing systems typically consist of single-purpose devices that only report sensed data to a controller. Given t...
详细信息
ISBN:
(数字)9798350388008
ISBN:
(纸本)9798350388015
Recent advances in low-cost microcontrollers have enabled innovative smart home applications. However, existing systems typically consist of single-purpose devices that only report sensed data to a controller. Given the potential for residential emergencies, we propose to integrate emergency detection systems into smart home environments. We present an ad-hoc distributed sensor network (DSN) designed to detect five common residential emergencies: fires, gas and water leakages, earthquakes, and intrusions. Our novel approach combines diverse sensors with a voting-based consensus algorithm among multiple nodes, improving accuracy and reliability over traditional alert systems. The consensus algorithm employs a majority rule with weighted votes, allowing adjustments for various scenarios. An experimental evaluation confirms our approach’s effectiveness in accurately detecting emergencies while demonstrating reliability in mitigating node failures, ensuring system longevity, and maintaining robust communication. Additionally, our approach significantly reduces power consumption compared to alternatives.
Let Ε ∈ (0, 1) and n, ∆ ∈ N be such that ∆ = Ω (Formula presented). Given an n-vertex m-edge simple graph G of maximum degree ∆, we present a randomized O (m log3 ∆ / Ε2)-time algorithm that computes a proper (1 +...
详细信息
Given a bipartite graph G, the Bicluster Editing problem asks for the minimum number of edges to insert or delete in G so that every connected component is a bicluster, i.e. a complete bipartite graph. This has severa...
详细信息
The virtual DC motor (VDCM) control strategy can simulate the dynamic response of DC motors, enhance system stability and controllability, and has received widespread attention. However, a key challenge in the efficie...
详细信息
ISBN:
(数字)9798350350760
ISBN:
(纸本)9798350350777
The virtual DC motor (VDCM) control strategy can simulate the dynamic response of DC motors, enhance system stability and controllability, and has received widespread attention. However, a key challenge in the efficient operation of DC microgrids is the state of charge (SOC) balance of energy storage units, which is crucial for improving the utilization efficiency of energy storage units. This paper introduces an innovative control method that uses VDCM as the basic control layer and combines dynamic consensus algorithm to design SOC balance controller. The proposed method not only maintains the stability of the DC bus voltage, but also achieves SOC consistency among multiple energy storage units. This article validated the effectiveness of the control strategy through a simulation platform built using Matlab/Simulink. The results indicate that the controller can optimize the output of energy storage units, thereby improving the overall efficiency and lifespan of DC microgrid systems.
作者:
Ales, ZacharieDuran-Mateluna, CristianElloumi, SourourUMA
ENSTA Paris Institut Polytechnique de Paris Palaiseau91120 France CEDRIC
Conservatoire National des Arts et Métiers Paris75003 France
Chile
Faculty of Engineering Industrial Engineering Department Chile
The p-center problem consists in selecting p facilities from a set of possible sites and allocating a set of clients to them in such a way that the maximum distance between a client and the facility to which it is all...
详细信息
In this paper, we address the derangement problem by constructing a derangement table. We have identified the relationship between lexicographically ordered derangements and their coding trees through the derangement ...
详细信息
The Artificial Intelligence field seldom address the development of a fundamental building piece: a framework, methodology or algorithm to automatically build hierarchies of abstractions. This is a key requirement in ...
详细信息
This paper investigates the global consensus problems for the first-order and second-order unknown nonlinear multiagent systems (MASs) with uncertain input disturbance. Fuzzy logic systems are applied to solve the glo...
详细信息
This paper investigates the global consensus problems for the first-order and second-order unknown nonlinear multiagent systems (MASs) with uncertain input disturbance. Fuzzy logic systems are applied to solve the global consensus problem for unknown nonlinear MASs. A fully distributed adaptive fuzzy control is designed to enable followers asymptotically to track the leader without using any dynamics of the leader. The global consensus conditions are also derived for the first-order and second-order unknown MASs, which overcomes the drawback of the semiglobal consensus in existing literature. It is worth mentioning that the proposed approach can greatly alleviate the computation burden because it only needs to update a few parameters. An efficient framework is also given to achieve the global formation control of the second-order unknown nonlinear MAS with an undirected connected graph. Finally, four simulated examples are given to illustrate the effectiveness of the proposed control protocols.
暂无评论