Browsing by Subject "Iterative methods"
Now showing items 1-20 of 54
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Conference Object
Adaptive probabilistic flooding for nanonetworks employing molecular communication
(Institute of Electrical and Electronics Engineers Inc., 2016)Probabilistic flooding is a simple to implement, information dissemination scheme which is known to alleviate the broadcast storm problem. Simplicity of implementation is a critical requirement of network protocol design ...
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Article
An Algorithm for Global Maximization of Secrecy Rates in Gaussian MIMO Wiretap Channels
(2015)Optimal signaling for secrecy rate maximization in Gaussian MIMO wiretap channels is considered. While this channel has attracted a significant attention recently and a number of results have been obtained, including the ...
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Article
Annular liquid jets at high Reynolds numbers
(2003)The flow of annular liquid jets at high Reynolds numbers is analysed by means of the finite element method and the full-Newton iteration scheme. Results have been obtained for various values of the inner to the outer ...
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Conference Object
Application of artificial neural networks in the prediction of earnings
(IEEE, 1994)The feasibility of using artificial neural networks (ANNs) for predicting future earnings by stock market and capital market investors was evaluated. A multilayer perceptron feedforward neural network architecture with an ...
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Article
Block Scheduling of Iterative Algorithms and Graph-Level Priority Scheduling in a Simulated Data-Flow Multiprocessor
(1993)While data-flow principles permit the utilization of large-scale multiprocessor systems with high programmability and good efficiency, they also introduce much overhead at runtime. In this paper, we have studied an important ...
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Clustering attributed multi-graphs with information ranking
(2015)Attributed multi-graphs are data structures to model realworld networks of objects which have rich properties/attributes and they are connected by multiple types of edges. Clustering attributed multigraphs has several ...
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The complexity of synchronous iterative Do-All with crashes
(2004)The ability to cooperate on common tasks in a distributed setting is key to solving a broad range of computation problems ranging from distributed search such as SETI to distributed simulation and multi-agent collaboration. ...
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The complexity of synchronous iterative do-all with crashes
(2001)Do-All is the problem of performing N tasks in a distributed system of P failure-prone processors [8]. Many distributed and parallel algorithms have been developed for this problem and several algorithm simulations have ...
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Conference Object
Control of distributed energy resources for reactive power support
(2011)This paper proposes a method to utilize distributed energy resources (DERs) to provide reactive power support for voltage control in electric power systems. Rather than controlling each of these resources directly, a ...
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Conference Object
Convergence of belief propagation algorithms on binary pairwise Gibbs random fields
(2011)In this paper, we study the convergence of belief propagation algorithms (BPAs) on binary pairwise Gibbs random fields (BP-GRFs). Exploiting the equivalence of BPA on the graph associated with BP-GRF and the corresponding ...
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Conference Object
Decentralized optimal dispatch of distributed energy resources
(2012)In this paper, we address the problem of optimally dispatching a set of distributed energy resources (DERs) without relying on a centralized decision maker. We consider a scenario where each DER can provide a certain ...
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Conference Object
Detection of cell nuclei in breast biopsies using receptive fields
(IEEE, 1994)A biopsy analysis support system, called BASS, is introduced. The system uses an unsupervised object detection loop involving center-surround receptive fields, and a nonlinearity to mark the location of cell nuclei in an ...
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Conference Object
Development of an efficient two-phase 3D numerical wave flume
(Society of Petroleum Engineers, 2017)In the present study an efficient two-phase 3D numerical wave flume was developed, tested and validated. The most important advantage over conventional numerical wave flumes is the use of a constant coefficient Poisson ...
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Article
Distributed Balancing of Commodity Networks Under Flow Interval Constraints
(2018)We consider networks the nodes of which are interconnected via directed edges, each able to admit a flow (or weight) within a certain interval, with nonnegative end points that correspond to lower and upper flow limits. ...
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Conference Object
Distributed balancing under interval flow constraints in directed communication topologies
(Institute of Electrical and Electronics Engineers Inc., 2018)In this paper, we propose a distributed algorithm that relies on a strongly connected (but possibly directed) communication topology to achieve admissible and balanced flows in a given network. More specifically, we consider ...
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Conference Object
Distributed consensus and linear functional calculation in networks: An observability perspective
(2007)We study the problem of performing sensor fusion and distributed consensus in networks, where the objective is to calculate some linear function of the initial sensor values at some or all of the sensors. We utilize a ...
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Distributed cycle detection and removal
(2018)In this paper, we provide distributed algorithms to detect and remove cycles in a directed relational graph by exploiting the underlying undirected communication graph; the relational graph models a relation among the ...
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Conference Object
Distributed formation of balanced and bistochastic weighted digraphs in multi-agent systems
(2013)We propose two distributed algorithms, one for solving the weight-balance problem and another for solving the bistochastic matrix formation problem, in a distributed system whose components (nodes) can exchange information ...
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A distributed generation control architecture for islanded ac microgrids
(2015)In this paper, we propose a distributed architecture for generation control in islanded ac microgrids with both synchronous generators and inverter-interfaced power supplies. Although they are smaller and have lower ratings, ...
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Distributed matrix scaling and application to average consensus in directed graphs
(2013)We propose a class of distributed iterative algorithms that enable the asymptotic scaling of a primitive column stochastic matrix, with a given sparsity structure, to a doubly stochastic form. We also demonstrate the ...