Journal articles: 'Radial topology'

1

Ahmed, A. "Topology of radial jet reattachment." Experiments in Fluids 14, no. 3 (1993): 178–80. http://dx.doi.org/10.1007/bf00189508.

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Telesky, Ted R., and Neil A. Shaw. "Radial magnetic topology for dynamic loudspeakers." Journal of the Acoustical Society of America 101, no. 5 (1997): 3071. http://dx.doi.org/10.1121/1.419288.

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Maia, Anderson V. D. M., and Knut Bakke. "Topological Effects of a Spiral Dislocation on Quantum Revivals." Universe 8, no. 3 (2022): 168. http://dx.doi.org/10.3390/universe8030168.

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We analyse the influence of spiral dislocation topology on the revival time for the harmonic oscillator, for a particle confined to one-dimensional quantum ring, and a two-dimensional quantum ring. We first investigate the effects of a cut-off point that stems from the topology of this defect on the harmonic oscillator. Then, we show that the influence of spiral dislocation topology on the harmonic oscillator gives rise to a non-null revival time related to the radial quantum number. In the case of the two-dimensional quantum ring, we show that the revival times related to the radial quantum number and the angular momentum quantum number are influenced by the spiral dislocation topology.

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Yang, Xuan, and Shan Shan Fan. "Topology-Preserving Transformation Based on the Correspondence of Control Points Using Radial Basis Functions." Applied Mechanics and Materials 249-250 (December 2012): 752–58. http://dx.doi.org/10.4028/www.scientific.net/amm.249-250.752.

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For point-based image registration, transformations using radial basis functions on scattered points cause problems with topology-preservation. We propose here a topology-preserving transformation based on expansions of radial basis functions. By analyzing the non-preserving transformation given by the corresponding control points, this method computes the main shifting directions of topology non-preserving regions on deformed surfaces. It then determines the control points leading to the topology non-preservation results. Next, it adaptively relaxes these control points based on the spatial relationships of points, and adjusts the transformation function coefficients using relaxation parameters to construct the topology-preserving transformation. We provide here the method for selecting the control points that cause the topology non-preservation results and estimate the optimal relaxation parameters based on the shifting model of the control points. Experimental results on random point sets, artificial images and medical images show that this method is feasible and practicable.

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Thanh Nguyen, Thuan, Thang Trung Nguyen, and Ngoc Au Nguyen. "Optimal Network Reconfiguration to Reduce Power Loss Using an Initial Searching Point for Continuous Genetic Algorithm." Complexity 2020 (May 5, 2020): 1–21. http://dx.doi.org/10.1155/2020/2420171.

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In this paper, an effective method to determine an initial searching point (ISP) of the network reconfiguration (NR) problem for power loss reduction is proposed for improving the efficiency of the continuous genetic algorithm (CGA) to the NR problem. The idea of the method is to close each initial open switch in turn and solve power flow for the distribution system with the presence of a closed loop to choose a switch with the smallest current in the closed loop for opening. If the radial topology constraint of the distribution system is satisfied, the switch opened is considered as a control variable of the ISP. Then, ISP is attached to the initial population of CGA. The calculated results from the different distribution systems show that the proposed CGA using ISP could reach the optimal radial topology with better successful rate and obtained solution quality than the method based on CGA using the initial population generated randomly and the method based on CGA using the initial radial configuration attached to the initial population. As a result, CGA using ISP can be a favorable method for finding a more effective radial topology in operating distribution systems.

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Dueñas-Osorio, Leonardo, and Javier Rojo. "Reliability Assessment of Lifeline Systems with Radial Topology." Computer-Aided Civil and Infrastructure Engineering 26, no. 2 (2011): 111–28. http://dx.doi.org/10.1111/j.1467-8667.2010.00661.x.

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Apte, Aditya P., and Bo Ping Wang. "Topology Optimization Using Hyper Radial Basis Function Network." AIAA Journal 46, no. 9 (2008): 2211–18. http://dx.doi.org/10.2514/1.28723.

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Selvan, M. P., and K. S. Swarup. "Dynamic topology processing in a radial distribution system." IEE Proceedings - Generation, Transmission and Distribution 153, no. 2 (2006): 155. http://dx.doi.org/10.1049/ip-gtd:20050182.

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9

Wadie, Fady, Ali Saeed Almuflih, Z. M. S. Elbarybary, and Tamer Eliyan. "Variance in multi-blade induced lightning overvoltages among different wind farm topologies." PLOS ONE 19, no. 9 (2024): e0308449. http://dx.doi.org/10.1371/journal.pone.0308449.

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The impact of the topological formation of wind farms upon the lightning induced overvoltages injected into the grid was not covered earlier in literature. However, this topic is highly important to be investigated to allow the usage of the most reliable topology against lightning strikes. For such reason, the paper investigates this point with consideration of most damaging cases as lightning strikes to multi-blades. The testing used ATP software for four main topologies, radial, single-sided ring SSR, double sided ring and star topology. The features defining the similarities in response and the variance range between these topologies were recorded and analyzed. The multi-blade strikes gave an expected increase of 15% to 100% in the injected overvoltage to the grid for all topologies. The star topology showed the most reliable performance by allowing the least injected overvoltage to the grid. The percentage of reduction in the magnitude of the injected overvoltages reached 50.78%, 66.07% and 89.04% for SSR, DSR and star topology respectively with respect to radial topology. Recommendation was provided for design engineers to consider star topology during design phase in terms of more reliable lightning protection.

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Crowley, Bríd, Susan Stevenson, and Rui Diogo. "Radial polydactyly: putting together evolution, development and clinical anatomy." Journal of Hand Surgery (European Volume) 44, no. 1 (2018): 51–58. http://dx.doi.org/10.1177/1753193418808138.

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Evolutionary developmental pathology, a new biological field, connects the study of evolution, development and human pathologies. In radial polydactyly, traditional studies have focused mainly on skeletal anomalies. This study examines anatomical and operative records of 54 consecutive cases of radial polydactyly to investigate whether there is a consistent spatial correlation between muscles, tendons and bones and whether this reflects a link between the mechanisms that generate these structures. The data are explored in the context of two current models of limb development: the modularity and topology models. Autopod (hand) tendons and muscles are more predictable in terms of insertion site, supporting both topology and modularity models. Zeugopod (forearm) tendons are less predictable. Neither model universally predicts the anatomy in radial polydactyly. These observations provide evidence for the complexity of anatomy in radial polydactyly and the difficulty in predicting operative findings based on the level of skeletal duplication alone.

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11

Al-ani, M. M. J., and Z. Q. Zhu. "Novel switched flux machine with radial and circumferential permanent magnets." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 35, no. 2 (2016): 473–92. http://dx.doi.org/10.1108/compel-03-2015-0114.

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Purpose – The paper purposes a novel SFPM machine topology with radial and circumferential permanent magnets (PMs). The paper aims to discuss this issue. Design/methodology/approach – In order to reduce the flux leakage in the stator-outer region and consequently achieve higher magnetic material utilization in switched flux permanent magnet (SFPM) machine, a novel topology with radial and circumferential PMs is proposed. This topology (SFRCPM) has the same structure as conventional SFPM (CSFPM) machine except of the additional set of radially magnetized PMs located around the back iron and surrounded by a laminated ring frame. Using finite element analysis (FEA) the influence of the design parameters on the performance is investigated in order to obtain an effective optimization procedure. Internal and external rotor SFRCPM machines with either NdFeB or ferrite magnets are investigated, optimized and compared with the CSFPM machine having the same size, copper loss and stator/rotor pole combination. Findings – It is concluded that comparing SFRCPM with its CSFPM machine counterpart, internal rotor SFRCPM machine can achieve high PM flux-linkage per magnet volume, however reduced slot area leads to low output torque, whereas external rotor SFRCPM machine can produce higher torque and torque per magnet volume. Originality/value – This paper proposes a novel SFPM machine topology.

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Jurdana, Vedran, Neven Bulic, and Wolfgang Gruber. "Topology Choice and Optimization of a Bearingless Flux-Switching Motor with a Combined Winding Set." Machines 6, no. 4 (2018): 57. http://dx.doi.org/10.3390/machines6040057.

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The purpose of this paper is to choose a new topology for bearingless flux-switching slice motors, regarding the number of stator and rotor poles, with a combined winding set. Additionally, the selected motor topology is optimized with finite element method (FEM) simulations to improve the performance. Bearingless slice drives feature a magnetically-suspended rotor disk passively stabilized by reluctance forces due to a permanent magnet (PM) bias flux in the air gap and actively controlled by the generation of radial bearing forces and motor torque. Usage of the combined winding set, where each phase generates both motor torque and suspension forces, opens the opportunity for a new topology. The topology choice and optimization are based on FEM simulations of several motor optimization criteria, as the passive axial, tilting and radial stiffness values and the active torque and bearing forces, which are simulated regarding the motor height and specific stator and rotor parameters. Saturation, cogging torque and cogging forces are also analyzed. The 3D FEM program ANSYS Maxwell 2015 was used. The results led to an optimized bearingless flux-switching motor topology with six new stator segments and seven rotor poles. By optimizing the geometry, a considerable improvement of performance was reached. This geometry optimization is a base for a future prototype model.

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Adasme, Pablo, and Ali Dehghan Firoozabadi. "Facility Location with Tree Topology and Radial Distance Constraints." Complexity 2019 (November 21, 2019): 1–29. http://dx.doi.org/10.1155/2019/9723718.

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Let Gd=V,Ed be an input disk graph with a set of facility nodes V and a set of edges Ed connecting facilities in V. In this paper, we minimize the total connection cost distances between a set of customers and a subset of facility nodes S⊆V and among facilities in S, subject to the condition that nodes in S simultaneously form a spanning tree and an independent set according to graphs G¯d and Gd, respectively, where G¯d is the complement of Gd. Four compact polynomial formulations are proposed based on classical and set covering p-Median formulations. However, the tree to be formed with S is modelled with Miller–Tucker–Zemlin (MTZ) and path orienteering constraints. Example domains where the proposed models can be applied include complex wireless and wired network communications, warehouse facility location, electrical power systems, water supply networks, and transportation networks, to name a few. The proposed models are further strengthened with clique valid inequalities which can be obtained in polynomial time for disk graphs. Finally, we propose Kruskal-based heuristics and metaheuristics based on guided local search and simulated annealing strategies. Our numerical results indicate that only the MTZ constrained models allow obtaining optimal solutions for instances with up to 200 nodes and 1000 users. In particular, tight lower bounds are obtained with all linear relaxations, e.g., less than 6% for most of the instances compared to the optimal solutions. In general, the MTZ constrained models outperform path orienteering ones. However, the proposed heuristics and metaheuristics allow obtaining near-optimal solutions in significantly short CPU time and tight feasible solutions for large instances of the problem.

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14

Ramirez, Juan M., and Diana P. Montoya. "A Piecewise Solution to the Reconfiguration Problem by a Minimal Spanning Tree Algorithm." International Journal of Emerging Electric Power Systems 15, no. 5 (2014): 419–27. http://dx.doi.org/10.1515/ijeeps-2013-0094.

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Abstract This paper proposes a minimal spanning tree (MST) algorithm to solve the networks’ reconfiguration problem in radial distribution systems (RDS). The paper focuses on power losses’ reduction by selecting the best radial configuration. The reconfiguration problem is a non-differentiable and highly combinatorial optimization problem. The proposed methodology is a deterministic Kruskal’s algorithm based on graph theory, which is appropriate for this application generating only a feasible radial topology. The proposed MST algorithm has been tested on an actual RDS, which has been split into subsystems.

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15

Eliyan, Tamer, Saad F. Al-Gahtani, Z. M. S. Elbarbary, and Fady Wadie. "Characterization of lightning-induced overvoltages in wind farms." PLOS One 20, no. 6 (2025): e0325514. https://doi.org/10.1371/journal.pone.0325514.

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Wind farms are exposed to various weather hazards, including lightning strikes, which can pose significant risks. However, the impact of different wind farm topologies on the magnitude of lightning-induced overvoltages has not been extensively studied, creating a gap in existing literature. This paper addresses this gap by analyzing the characteristics of lightning-induced overvoltages injected into the grid for various wind farm topologies. The scientific scope of this study is to evaluate the influence of wind farm topology on the severity of different types of lightning-induced overvoltages including positive, negative, and double-peaked lightning strikes, using simulation-based analysis. The topologies tested include radial, single-sided ring (SSR), double-sided ring (DSR), and star topologies. The results demonstrate that radial topology leads to the highest overvoltage injection, while switching to SSR, DSR, or star topologies results in reductions of overvoltage by 11.5% to 51.0%, 39.5% to 66.0%, and 62.3% to 89.0%, respectively. These results support a topology-based risk assessment approach, offering clear guidance for selecting configurations that improve lightning resilience.

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16

Andrea, Credo, Fabri Giuseppe, Villani Marco, and Popescu Mircea. "Adopting the Topology Optimization in the Design of High-Speed Synchronous Reluctance Motors for Electric Vehicles." IEEE Transactions on Industry Applications 56, no. 5 (2020): 5429–38. https://doi.org/10.1109/TIA.2020.3007366.

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This paper deals with the design of high-speed Synchronous Reluctance motors for electric vehicle applications. The need to enhance the power density and to lower the cost leads to research on high speed motors with a reduced amount of rare earth. Pure Synchronous Reluctance motors potentially operate at high speed and exhibit a cost-effective rotor compared to PM and induction motors. Nevertheless, they present reduced performances in deep flux weakening operations, in particular when the so-called radial ribs are introduced to increase the mechanical robustness of the rotor. In this paper the introduction of the radial ribs and the related design challenges are investigated and discussed. The adoption of the topology optimization tool that is able to optimize the amount, the positioning and the sizing of suitable structural ribs is presented. A design flow integrating the Topology Optimization is presented. The approach leads to an original positioning of the radial ribs able to preserve the performance of the motor at high operating speed enhancing the mechanical integrity of the rotor.

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17

Neto, A. C., A. B. Rodrigues, R. B. Prada, and M. da Guia da Silva. "External Equivalent for Electric Power Distribution Networks With Radial Topology." IEEE Transactions on Power Systems 23, no. 3 (2008): 889–95. http://dx.doi.org/10.1109/tpwrs.2008.922250.

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18

Kondo, Kei, and Shin-Ichi Ohta. "Topology of Complete Manifolds with Radial Curvature Bounded from Below." Geometric and Functional Analysis 17, no. 4 (2007): 1237–47. http://dx.doi.org/10.1007/s00039-007-0625-8.

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19

Mao, Jing. "Geometry and topology of manifolds with integral radial curvature bounds." Differential Geometry and its Applications 91 (December 2023): 102064. http://dx.doi.org/10.1016/j.difgeo.2023.102064.

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20

Cai, Kun, Hong Yang He, Xin Huan Li, and Yan Li. "A New Design of a Hydraulic Steel Radial Gate with Two Oblique Arms by Topology Optimization." Advanced Materials Research 712-715 (June 2013): 2906–12. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.2906.

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A hydraulic steel radial gate (SRG) with two oblique arms is designed by using topology optimization and size optimization. Topology and size optimization are carried out by using CAD software, e.g., Hyperworks. In the current design, the SRG is initially considered to have three main components, i.e., the arms, the supporting frame of arms and a panel for water retaining. To give a better design of these components, e.g., arms and its supporting frame, topology optimization is adopted. By topology optimization method, the shape of arm and the supporting frame are obtained. As construction of the new SRG is reconstructed by the components obtained, the stiffness, strength and stability of the new SRG is checked and some sizes of components in SRG are readjusted by using size optimization. The final design of the SRG is around 24% lighter than the traditional design whilst the safety of the new design is much better.

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Yang, Zi, Ming Rui Chen, and Wei Wu. "Algorithm for Wireless Sensor Network Data Fusion Based on Radial Basis Function Neural Networks." Applied Mechanics and Materials 577 (July 2014): 873–78. http://dx.doi.org/10.4028/www.scientific.net/amm.577.873.

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This paper presents a data fusion method on wireless sensor network based on radial basis function neural networks. In consideration of the hierarchical relationship topology wireless sensor networks, data acquisition, handling and delivery, we proposed a typical classification approach based on radial basis function neural networks. Optimization strategy adopted to process node data for each node indicated different reaction related with energy consumption. Simulation results verify that the method converges fast and effectively.

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Heo, Yaryong, Fëdor Nazarov, and Andreas Seeger. "On Radial and Conical Fourier Multipliers." Journal of Geometric Analysis 21, no. 1 (2010): 96–117. http://dx.doi.org/10.1007/s12220-010-9171-y.

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Rashid Zaidan, Majeed. "Distribution system reliability enhancement by using grid upgrading technology." International Journal of Engineering & Technology 7, no. 4 (2019): 6427–31. http://dx.doi.org/10.14419/ijet.v7i4.21052.

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Losses are essential threat to power system reliability and worthiness; such disturbances are raised form generation plants until destination and end users. Power loss due to load variation is studied in this paper when radial distribution system is considerable; load is arranging among feed-forward nodes and hence losses may be developed due to overload in any particular node. As the radial system is involved, any changing of network topology yields a noticeable improvement on reliability. More topologies are resulted by changing the feeder switching status. IEEE 16 bus-bar radially structured distribution grid is investigated using Matlab software. Results shown that optimum reliability is achieved when node 2, node 4 and node 15 are closed. So far this topology is active, power loss is minimized and voltage profile is improved as compared to seven iterations of different topologies.Â Â

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Sunday, Adeleke Salimon, Adedapo Aderinko Hassan, Ibukun Damilola Fajuke, and Akinkunmi Suuti Kamilu. "Load Flow Analysis of Nigerian Radial Distribution Network Using Backward/Forward Sweep Technique." Journal of VLSI Design and its Advancement 2, no. 3 (2019): 1–11. https://doi.org/10.5281/zenodo.3582970.

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<em>Load flow analysis is an essential and vital part in power system studies. Conventional flow methods such as Newton Raphson and Gauss Seidel are not accurate for radial distribution networks due to its radial topology and high resistance to reactance ratio. In this paper, the backward-forward load flow technique which utilizes the equivalent current injection (ECI), the node injection to branch current (BIBC) and branch current to node-voltage matrix (BCBV). This algorithm was tested on Yale 17-bus and Imalefalafia 32-bus Nigerian radial distribution networks. The analyses of the networks were obtained in a very short computation time. The results revealed the viability of the method is useful for planning, operation of the Nigerian radial distribution networks.</em>  

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Zhao, Changjian, and Wing-Sum Cheung. "Radial Blaschke–Minkowski homomorphisms and volume differences." Geometriae Dedicata 154, no. 1 (2011): 81–91. http://dx.doi.org/10.1007/s10711-010-9568-6.

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El Berkaoui, Ayoub, Saida Bahsine, Aziz Oukennou, Fatima Ait Nouh, and Bouchra Rzine. "Distribution network topology planning and optimization: A brief review." E3S Web of Conferences 469 (2023): 00054. http://dx.doi.org/10.1051/e3sconf/202346900054.

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This article investigates distribution network topologies, with an emphasis on Mesh, Radial, and Ring designs, within the context of smart grids. With the primary goal of decreasing power losses using optimization techniques. The ZIP model is used to precisely capture load behaviour in load flow. This research adds to our understanding of topology selection, optimization approaches, and load behaviour modelling, improving in this way increases the efficiency and reliability of electrical distribution networks.

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Maia, A. V. D. M., and K. Bakke. "On an electron in an elastic medium with a spiral dislocation." International Journal of Modern Physics A 34, no. 27 (2019): 1950153. http://dx.doi.org/10.1142/s0217751x19501537.

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Topological effects of a spiral dislocation on an electron are investigated when it is confined to a hard-wall confining potential. Besides, the influence of the topology of the spiral dislocation on the interaction of the electron with a nonuniform radial electric field and a uniform axial magnetic field is analyzed. It is shown that the spectrum of energy can be obtained in all these cases. Moreover, it is shown that there is one case where an analog of the Aharonov–Bohm effect for bound states is yielded by the topology of the spiral dislocation.

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Qu, Cheng, Yifan Zhang, Zhihu Zhang, and Minggang Zheng. "Design of Radial Flow Channel Proton Exchange Membrane Fuel Cell Based on Topology Optimization." Processes 11, no. 8 (2023): 2482. http://dx.doi.org/10.3390/pr11082482.

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In this paper, the flow channel of the radial proton exchange membrane fuel cell (PEMFC) is optimized by the topological optimization method. Using the SNOPT algorithm, a two-dimensional stable constant temperature model is freely constructed in the cyclic sector design domain. Topology optimization aims to maximize the efficiency of PEMFC and minimize the energy dissipation of reaction gas. We analyze radial topology flow channels’ mass transfer capacity and cell performance with different maximum volume constraints. The results show that under high current density, the performance of the optimized channel is significantly better than that of the traditional channel. Increasing the maximum volume constraint is beneficial for improving the mass transfer of PEMFC. At 0.6 V, the cell performance of Scheme 4 is 14.9% higher than the serpentine flow channel and 9.5% higher than the parallel flow channel. In addition, in the optimal selection, 3D simulation modeling is carried out for more accurate verification.

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KONDO, Kei, Shin-ichi OHTA, and Minoru TANAKA. "TOPOLOGY OF COMPLETE FINSLER MANIFOLDS WITH RADIAL FLAG CURVATURE BOUNDED BELOW." Kyushu Journal of Mathematics 68, no. 2 (2014): 347–57. http://dx.doi.org/10.2206/kyushujm.68.347.

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Seong, Rak-Kyeong, Carolyn M. Salafia, and Dimitri D. Vvedensky. "Statistical topology of radial networks: a case study of tree leaves." Philosophical Magazine 92, no. 1-3 (2012): 230–45. http://dx.doi.org/10.1080/14786435.2011.614965.

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31

Goel, Tushar, and Nielen Stander. "Comparing three error criteria for selecting radial basis function network topology." Computer Methods in Applied Mechanics and Engineering 198, no. 27-29 (2009): 2137–50. http://dx.doi.org/10.1016/j.cma.2009.02.016.

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Wang, Shengyin, and Michael Yu Wang. "Radial basis functions and level set method for structural topology optimization." International Journal for Numerical Methods in Engineering 65, no. 12 (2006): 2060–90. http://dx.doi.org/10.1002/nme.1536.

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Vai, Vannak, and Long Bun. "STUDY ON THE IMPACT OF INTEGRATED PV UNCERTAINTIES INTO AN OPTIMAL LVAC TOPOLOGY IN A RURAL VILLAGE." ASEAN Engineering Journal 10, no. 1 (2021): 79–92. http://dx.doi.org/10.11113/aej.v10.16698.

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This paper addresses a comparative study of radial topologies and the impact of the topology with the integration of PV for a rural village considering the shortest line and load balancing improvement. This research paper aims to develop and compare the AC low voltage (LVAC) topology with different developed algorithms. The shortest path (SP) algorithm is developed to search for minimizing the conductor usage in the first step. Two different algorithms, are repeated phase sequence (RPS-ABC) and first fit bin packing (FFBP), which are established in the second step to find out the load balancing in three-phase LVAC topology. Then, the comparative analysis of different methods is investigated considering the energy losses. Next, an impact of integrated photovoltaic (PV) uncertainties in both sitting and sizing into the optimal LVAC topology are performed using the Monte-Carlo (MC) simulation method. In this paper, simulation results obtained confirm the proposed method.

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Quintián, Héctor, and Emilio Corchado. "A Novel Ensemble Beta-Scale Invariant Map Algorithm." IEEE Access 8 (June 5, 2020): 108857–84. https://doi.org/10.1109/ACCESS.2020.3001690.

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Abstract This research presents a novel topology preserving map (TPM) called Weighted Voting Supervision -Beta-Scale Invariant Map (WeVoS-Beta-SIM), based on the application of the Weighted Voting Supervision (WeVoS) meta-algorithm to a novel family of learning rules called Beta-Scale Invariant Map (Beta-SIM). The aim of the novel TPM presented is to improve the original models (SIM and Beta-SIM) in terms of stability and topology preservation and at the same time to preserve their original features, especially in the case of radial datasets, where they all are designed to perform their best. These scale invariant TPM have been proved with very satisfactory results in previous researches. This is done by generating accurate topology maps in an effectively and efficiently way. WeVoS meta-algorithm is based on the training of an ensemble of networks and the combination of them to obtain a single one that includes the best features of each one of the networks in the ensemble. WeVoS-Beta-SIM is thoroughly analyzed and successfully demonstrated in this study over 14 diverse real benchmark datasets with diverse number of samples and features, using three different well-known quality measures. In order to present a complete study of its capabilities, results are compared with other topology preserving models such as Self Organizing Maps, Scale Invariant Map, Maximum Likelihood Hebbian Learning-SIM, Visualization Induced SOM, Growing Neural Gas and Beta- Scale Invariant Map. The results obtained confirm that the novel algorithm improves the quality of the single Beta-SIM algorithm in terms of topology preservation and stability without losing performance (where this algorithm has proved to overcome other well-known algorithms). This improvement is more remarkable when complexity of the datasets increases, in terms of number of features and samples and especially in the case of radial datasets improving the Topographic Error.

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35

Jones, P. W., and P. F. X. M�ller. "Universal Covering Maps and Radial Variation." Geometric And Functional Analysis 9, no. 4 (1999): 675–98. http://dx.doi.org/10.1007/s000390050099.

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36

Mohd Yusof, Nur Aisyah, Zaipatimah Ali, and Mohd Zainal Abidin Ab Kadir. "A review of adaptive overcurrent protection in distribution networks with integration of distributed energy resources." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 1 (2020): 140. http://dx.doi.org/10.11591/ijeecs.v19.i1.pp140-148.

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This paper presents a review of an adaptive overcurrent protection scheme in a distribution network with the integration of distributed energy resources. The rapid integration of distributed energy resources brings challenges to the existing overcurrent protection system. The impacts are change in fault current magnitude and direction of current flow from radial to the multi-source dynamic network, which causes changes in network topology, inaccurate fault detection, and loss of coordination among protection systems. In this paper, the solution identified for reliable operation of overcurrent protection in the distribution network are network topology estimation, fault detection, and adaptive coordination.

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Nur, Aisyah Mohd Yusof, Ali Zaipatimah, and Zainal Abidin Ab Kadir Mohd. "A review of adaptive overcurrent protection in distribution networks with integration of distributed energy resources." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 19, no. 1 (2020): 140–48. https://doi.org/10.11591/ijeecs.v19.i1.pp140-148.

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This paper presents a review of an adaptive overcurrent protection scheme in a distribution network with the integration of distributed energy resources. The rapid integration of distributed energy resources brings challenges to the existing overcurrent protection system. The impacts are change in fault current magnitude and direction of current flow from radial to the multi-source dynamic network, which causes changes in network topology, inaccurate fault detection, and loss of coordination among protection systems. In this paper, the solution identified for reliable operation of overcurrent protection in the distribution network are network topology estimation, fault detection, and adaptive coordination.

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Li, Guanghan, Yi Shi, and Chuanxi Wu. "Ricci curvature, radial curvature and large volume growth." Geometriae Dedicata 150, no. 1 (2010): 63–74. http://dx.doi.org/10.1007/s10711-010-9494-7.

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Yen, Gary G., and Haiming Lu. "Hierarchical Rank Density Genetic Algorithm for Radial-Basis Function Neural Network Design." International Journal of Computational Intelligence and Applications 03, no. 03 (2003): 213–32. http://dx.doi.org/10.1142/s1469026803000975.

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In this paper, we propose a genetic algorithm based design procedure for a radial-basis function neural network. A Hierarchical Rank Density Genetic Algorithm (HRDGA) is used to evolve the neural network's topology and parameters simultaneously. Compared with traditional genetic algorithm based designs for neural networks, the hierarchical approach addresses several deficiencies highlighted in literature. In addition, the rank-density based fitness assignment technique is used to optimize the performance and topology of the evolved neural network to deal with the confliction between the training performance and network complexity. Instead of producing a single optimal solution, HRDGA provides a set of near-optimal neural networks to the designers so that they can have more flexibility for the final decision-making based on certain preferences. In terms of searching for a near-complete set of candidate networks with high performances, the networks designed by the proposed algorithm prove to be competitive, or even superior, to three other traditional radial-basis function networks for predicting Mackey–Glass chaotic time series.

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Bakke, K., V. B. Bezerra, and R. L. L. Vitória. "Scalar field in a uniformly rotating frame in the time-dislocation space–time." International Journal of Modern Physics A 35, no. 22 (2020): 2050129. http://dx.doi.org/10.1142/s0217751x20501298.

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We analyze the relativistic quantum effects induced by the topology associated with a time-dislocation space–time and produced by the angular velocity associated with a rotating reference frame, on a scalar field. The parameters related to the torsion of the dislocation and to the angular velocity of the rotating reference frame impose lower and upper limits of the radial coordinate. At these limiting values of the radial coordinate, boundary conditions are assumed, in order to determine the energy levels. We show that in this scenario, two interesting physical phenomena arise, namely, the Sagnac-like and the Aharonov–Bohm-like effects.

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Parsiyev, Saydiakhat S. "ANALYSIS OF BASIC TOPOLOGIES AND TYPICAL STRUCTURES OF TELECOMMUNICATION NETWORKS." International journal of data science and machine learning 04, no. 02 (2024): 11–16. http://dx.doi.org/10.55640/ijdsml-04-02-03.

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This article analyzes the topology of telecommunication networks (TN) with various structures and reveals that, despite the numerous ways to connect nodes, network construction is based on three main (basic) topologies: bus, ring, and star. It is shown that in telecommunication networks, radial, ring, and radial-ring structures are among the most frequently used typical structures. The penalty function method determines the optimal TN structure based on the criterion of overall network reduced costs. Additionally, when choosing the most preferred basic typical structure for building telecommunication networks, the relative efficiency coefficient is proposed as an indicator.

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Espitia Cuchango, Helbert Eduardo, Iván Machón González, Hilario López García, and Domingo Guzmán Díaz González. "Optimization of fuzzy controllers for a radial distribution network." Visión electrónica 13, no. 1 (2019): 17–23. http://dx.doi.org/10.14483/22484728.14681.

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Energy distribution systems present alterations in the voltage profile in their nodes when distributed generation elements are installed. As a consequence, tension can be risen in a level beyond the admissible. This paper presents the optimization to three fuzzy controllers located in a distribution network with radial topology. The optimization of each controller is performed using the maximum descent algorithm, which is separately carried out; thus, having a distributed approach. The interaction between generators is considered to perform this process; the results show that the adjustment of the controllers is achieved

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Antonova, E. E., I. P. Kirpichev, I. L. Ovchinnikov, K. G. Orlova, and M. V. Stepanova. "High latitude magnetospheric topology and magnetospheric substorm." Annales Geophysicae 27, no. 10 (2009): 4069–73. http://dx.doi.org/10.5194/angeo-27-4069-2009.

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Abstract. This study is focused on the problem of the localization of substorm expansion onset. In this context, the high latitude topology of transverse magnetospheric currents has been analyzed. This study has included the radial distribution of plasma pressure near noon, obtained using the THEMIS-B satellite data, the daytime compression of magnetic field lines and the existence of magnetic field minima far from the equatorial plane, given by all geomagnetic field models. As a result, the dayside integral transverse currents at the geocentric distances 7–10 RE has been estimated. It is suggested, that nightside transverse currents at geocentric distances ~7–10 RE are closed inside the magnetosphere and with dayside transverse currents form surrounding the Earth current system (cut ring current or CRC) which topologically is the high latitude continuation of ordinary ring current. A possibility of localization of substorm expansion onset at the nighside CRC region is analyzed using the experimental evidences that the onset is localized at geocentric distances <10 RE.

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Yang, Xuan, Zhong Xue, Xia Liu, and Darong Xiong. "Topology preservation evaluation of compact-support radial basis functions for image registration." Pattern Recognition Letters 32, no. 8 (2011): 1162–77. http://dx.doi.org/10.1016/j.patrec.2011.03.004.

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Ortega Riejos, Francisco A., Eva Barrena, J. David Canca Ortiz, and Gilbert Laporte. "Analyzing the theoretical capacity of railway networks with a radial-backbone topology." Transportation Research Part A: Policy and Practice 84 (February 2016): 83–92. http://dx.doi.org/10.1016/j.tra.2015.03.018.

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Scarin, P., M. Agostini, L. Carraro, et al. "Boundary plasma physics in RFX-mod: Radial electric field and transport topology." Journal of Nuclear Materials 438 (July 2013): S550—S553. http://dx.doi.org/10.1016/j.jnucmat.2013.01.114.

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Bors, Adrian G., and Moncef Gabbouj. "Minimal Topology for a Radial Basis Functions Neural Network for Pattern Classification." Digital Signal Processing 4, no. 3 (1994): 173–88. http://dx.doi.org/10.1006/dspr.1994.1016.

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Bruske, Jörg, and Gerald Sommer. "Dynamic Cell Structure Learns Perfectly Topology Preserving Map." Neural Computation 7, no. 4 (1995): 845–65. http://dx.doi.org/10.1162/neco.1995.7.4.845.

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Dynamic cell structures (DCS) represent a family of artificial neural architectures suited both for unsupervised and supervised learning. They belong to the recently (Martinetz 1994) introduced class of topology representing networks (TRN) that build perfectly topology preserving feature maps. DCS employ a modified Kohonen learning rule in conjunction with competitive Hebbian learning. The Kohonen type learning rule serves to adjust the synaptic weight vectors while Hebbian learning establishes a dynamic lateral connection structure between the units reflecting the topology of the feature manifold. In case of supervised learning, i.e., function approximation, each neural unit implements a radial basis function, and an additional layer of linear output units adjusts according to a delta-rule. DCS is the first RBF-based approximation scheme attempting to concurrently learn and utilize a perfectly topology preserving map for improved performance. Simulations on a selection of CMU-Benchmarks indicate that the DCS idea applied to the growing cell structure algorithm (Fritzke 1993c) leads to an efficient and elegant algorithm that can beat conventional models on similar tasks.

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Chu, Sheng, Liang Gao, and Mi Xiao. "An Efficient Topology Optimization Method for Structures with Uniform Stress." International Journal of Computational Methods 15, no. 08 (2018): 1850073. http://dx.doi.org/10.1142/s0219876218500731.

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This paper focuses on two kinds of bi-objective topology optimization problems with uniform-stress constraints: compliance-volume minimization and local frequency response–volume minimization problems. An adaptive volume constraint (AVC) algorithm based on an improved bisection method is proposed. Using this algorithm, the bi-objective uniform-stress-constrained topology optimization problem is transformed into a single-objective topology optimization problem and a volume-decision problem. The parametric level set method based on the compactly supported radial basis functions is employed to solve the single-objective problem, in which a self-organized acceleration scheme based on shape derivative and topological sensitivity is proposed to adaptively adjust the derivative of the objective function and the step length during the optimization. To solve the volume-decision problem, an improved bisection method is proposed. Numerical examples are tested to illustrate the feasibility and effectiveness of the self-organized acceleration scheme and the AVC algorithm based on the improved bisection method. An extended application to the bi-objective stress-constrained topology optimization of a structure with stress concentration is also presented.

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Siddiqi, Mudassir Raza, Tanveer Yazdan, Jun-Hyuk Im, Muhammad Humza, and Jin Hur. "Design and Analysis of a Dual Airgap Radial Flux Permanent Magnet Vernier Machine with Yokeless Rotor." Energies 14, no. 8 (2021): 2311. http://dx.doi.org/10.3390/en14082311.

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This paper presents a novel topology of dual airgap radial flux permanent magnet vernier machine (PMVM) in order to obtain a higher torque per magnet volume and similar average torque compared to a conventional PMVM machine. The proposed machine contains two stators and a sandwiched yokeless rotor. The yokeless rotor helps to reduce the magnet volume by providing an effective flux linkage in the stator windings. This effective flux linkage improved the average torque of the proposed machine. The competitiveness of the proposed vernier machine was validated using 2D finite element analysis under the same machine volume as that of conventional vernier machine. Moreover, cogging torque, torque ripples, torque density, losses, and efficiency performances also favored the proposed topology.

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Journal articles on the topic 'Radial topology'

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