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Impact of Message Losses on Push-Sum Protocol in Chosen Topologies

Martin Kenyeres, Jozef Kenyeres, Bohumil Novotny
2017 European Scientific Journal  
In this paper, we examine the natural robustness of the push-sum protocol to message losses in a tree, a star, a mesh, a ring and a link topology.  ...  We experimentally verify the impact of this failure on the character of the estimations, the deviation of the final estimation from the real value and the impact on the change of the convergence rate.  ...  Note that we are focused on the relative deceleration of the protocol and as seen, the star and the mesh are much faster in absolute values than the link topology.  ... 
doi:10.19044/esj.2017.v13n9p353 fatcat:q7mw5gaoxnc2xmdoqyj2p4j3om

THE ANALYSIS OF THE PUSH-SUM PROTOCOL IN VARIOUS DISTRIBUTED SYSTEMS

2016 European Scientific Journal  
In this paper, we have focused on an analysis of the push-sum protocol in various topologies.  ...  We analyzed the behavior of distributed systems forming a tree, a star, a ring and a fully-connected mesh topology.  ...  Experiment 4 Within the fourth experiment, we have focused on examining the convergence rate in the particular topologies.  ... 
doi:10.19044/esj.2016.v12n12p64 fatcat:tdq2mr2wcrdnxgidgpzriedmty

CARMA—Cellular Automata with Refined Mesh Adaptation—The Easy Way of Generation of Structural Topologies

Katarzyna Tajs-Zielińska, Bogdan Bochenek
2020 Applied Sciences  
This paper is focused on the development of a Cellular Automata algorithm with the refined mesh adaptation technique and the implementation of this algorithm in topology optimization problems.  ...  While optimizing engineering structural elements, the important issue is to obtain well-defined solutions: in particular, topologies with smooth boundaries.  ...  After a given number of iterations, the values of and can be modified. For the test examples in this paper, after 20 iterations the value 0.7 , whereas 0.9 remained unchanged.  ... 
doi:10.3390/app10113691 fatcat:cspkffm5erfyznsptoegwkfiya

Optimizing of Passive Optical Network Deployment Using Algorithm with Metrics

Tomas Pehnelt, Pavel Lafata
2018 Advances in Electrical and Electronic Engineering  
This algorithm uses a combination of different methods for generating of an optimal metric, thus creating the optimized tree topology mainly focused on summary trenching distance.  ...  The optimum values of a, b, c variables in Eq. (1) of iterated metric were iterated for a specific data set.  ...  Due to the maximum endpoint value, the optimum topology solution results in separating the entire PON into 2 separate topologies.  ... 
doi:10.15598/aeee.v15i5.2285 fatcat:gp5iw3ydgbfa7jivxeqau6jdgi

Increasing confidence of protein interactomes using network topological metrics

J. Chen, W. Hsu, M. L. Lee, S.-K. Ng
2006 Bioinformatics  
with high computed confidence values.  ...  Small-scale, focused experiments are then needed to complement the high-throughput methods to extract true protein interactions.  ...  IRAP Ã : iterative refinement of interactome Our previous works (Chen et al., 2004 (Chen et al., , 2005 focused on using IRAP for false positive detection.  ... 
doi:10.1093/bioinformatics/btl335 pmid:16787971 fatcat:rde5d64fcfhehnz3busquu5xze

Practical Application Study for Precision Improvement Plan for Energy Storage Devices Based on Iterative Methods

Jaewan Suh, Minhan Yoon, Seungmin Jung
2020 Energies  
This paper focuses on an iterative based solution for enhancing response of storage that included in DC generation system, to check its availability in terms of possible calculation load.  ...  Case studies were performed sequentially on the time delays based on utilizable inverter topologies.  ...  The derived average iteration number (adjusting the input values) and expected average solution time, for each topology were represented together.  ... 
doi:10.3390/en13030656 fatcat:tqq6n5bu3bee7ivndz6b3f7wme

MAXIMIZE THE LIFETIME OF SENSOR NETWORK BY LOAD BALANCING USING TREE TOPOLOGY

S S Patil, B S Shetty
2018 ICTACT Journal on Communication Technology  
In this method, Data collection tree topology is built at the sink node.  ...  Performance of the proposed algorithm is evaluated by considering various parameters like topology, availability of resources and the energy utilization of nodes in different paths of the tree, which may  ...  In ongoing research, this paper focuses on tree topology to reduce communication overhead with considering coverage area.  ... 
doi:10.21917/ijct.2018.0262 fatcat:4fxt37gdvnf47plcme5akwytou

A Study on Proportional Topology Optimization for Nonlinearities Material with Cyclic Load

Suphanut Kongwat, Department of Functional Control Systems, Shibaura Institute of Technology, Saitama, Japan, Hiroshi Hasegawa, Department of Machinery and Control Systems, Shibaura Institute of Technology, Saitama, Japan
2020 International Journal of Materials Science and Engineering  
This research proposes a proportional technique for updating an element density value for the topology optimization process.  ...  Fully stress design criterion for the topology optimization was combined with being one factor into the proportional function for updating the density value.  ...  The fully stressed criterion for the topology optimization was combined into the update function to investigate the density value in each optimization iteration.  ... 
doi:10.17706/ijmse.2020.8.1.7-14 fatcat:zkyeah4twbdujbgszyav5htgvm

Preface

José Amigó, Karsten Keller
2015 Discrete and continuous dynamical systems. Series B  
Morales (Topological entropy for set-valued maps) follow the usual approach to the topological entropy of single-valued maps, based on spanning and separated sets, to define the spanning entropy, h sp  ...  Jaume Llibre (Brief survey on the topological entropy) focuses on the topological entropy in different contexts regarding both the properties of the maps and the spaces considered.  ... 
doi:10.3934/dcdsb.2015.20.10i fatcat:ocvfjvao6rgr3cfr64srlvi5ty

GHOST—Gate to Hybrid Optimization of Structural Topologies

Bogdan Bochenek, Katarzyna Tajs-Zielińska
2019 Materials  
for the next iteration.  ...  In a numerical implementation of the hybrid algorithm, the design variables are updated at each iteration step using both approaches, and the solution with a lower objective function value is selected  ...  Since the attention has been focused on compliance values, the numerical code has not been optimized with respect to the run time.  ... 
doi:10.3390/ma12071152 pmid:30970609 pmcid:PMC6479784 fatcat:kuzs2efff5d3rnvd6qh5t7x3z4

Planar Holographic Metasurfaces for Terahertz Focusing

Sergei A. Kuznetsov, Mikhail A. Astafev, Miguel Beruete, Miguel Navarro-Cía
2015 Scientific Reports  
The phase variation within 360 deg is achieved via a topological morphing of the metasurface pattern from metallic patches to U-shaped and split-ring resonator elements, whose spectral response is derived  ...  The proposed approach demonstrates a high-performance solution for creating low-cost and lightweight beam-shaping and beam-focusing devices for the terahertz band.  ...  The spread of DW 0 magnitudes is summarized in Table 2 and provides information on the minimal, maximal, and mean values (uniformly averaged over all 78 topologies) referred to the boundary frequencies  ... 
doi:10.1038/srep07738 pmid:25583565 pmcid:PMC4291574 fatcat:pmosanuzprelvmn3rch6jmxese

Advanced Algorithm for Optimizing the Deployment Cost of Passive Optical Networks

Pavel Lafata
2013 Advances in Electrical and Electronic Engineering  
This article describes the method leading to evaluate an algorithm for designing suboptimal economic solutions and topologies for PONs by focusing on optimization of constructional length of distribution  ...  While the typical PON topologies are star topologies or tree-star topologies, the first part of this article introduces new sub algorithm for estimating the minimum star topology.  ...  The main goal of this paper was focused on describing useful mathematical algorithms and tools, which can be potentially used to determine optimum network topologies.  ... 
doi:10.15598/aeee.v11i1.749 fatcat:npjqeneaprdhziis3km7pu4cg4

A Three-Dimensional and Bi-objective Topological Optimization Approach Based on Piezoelectric Energy Harvester

Yizhi Liu, Ziyu Huang, Yufei Gao
2020 Applied Sciences  
As the iteration process shows, the results of bi-objective optimization prove the value of additive mass at the bottom of the cantilever.  ...  Furthermore, this is also the first time a piezoelectric topology code has been shared.  ...  The SE objective value and the voltage value are shown in Figure 7 . 7 Optimization iteration diagram and structure diagram with SE as the objective only. (a) Voltage output (b) objective value.  ... 
doi:10.3390/app10196772 fatcat:tjb5auchfnbazd6kvvtz5m72fm

Links failure analysis of averaging executed by protocol push-sum

Martin Kenyeres, Jozef Kenyeres, Vladislav Skorpil
2016 Contemporary Engineerng Sciences  
Within this paper, our attention is focused on a calculation of the average of the measured values.  ...  state for the next iteration.  ...  The distribution of the convergence rates in weakly-connected topologies The impact of a links failure on the diversity of the final results The next experiment is focused on examining the effect of  ... 
doi:10.12988/ces.2016.66113 fatcat:kg3cck65t5g7fhzdghmltuh7ea

DL-Scale: Deep Learning for model upgrading in topology optimization

Nikos Ath. Kallioras, Nikos D. Lagaros
2020 Procedia Manufacturing  
In the current work a new methodology is proposed where a DBN is used along with SIMP in an iterative manner for vastly reducing the computational loads of fine-discretized meshes in topology optimization  ...  It is proven in all test cases examined and presented that the above-mentioned model-upgrading methodology manages to minimize the computational load of topology optimization as the iterations that SIMP  ...  Predictions are focused on estimating the final density of a single finite element with respect to its density fluctuation in the initial SIMP iterations.  ... 
doi:10.1016/j.promfg.2020.02.273 fatcat:gemvq3enx5dh5en5af4tyzsn6e
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