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About 10,000 papers for “Ring network”

Ring network.

Deborah M. Gordon (290041) · Figshare · 2015

<p>(A) Ring network with flow in both directions. (B) When flow in one direction is interrupted, flow in the other direction facilitates recovery.</p>

Cited by 0Open access

Ring of cliques network.

Atsushi Miyauchi (848469), Yasushi Kawase (848470) · Figshare · 2016

<p><i>K</i><sub><i>p</i></sub> represents a clique with <i>p</i> vertices.</p>

Cited by 0Open access

Token Ring Network Management

Jesper Nilausen · International Journal of Network Management · 1993

Abstract This article on Token Ring network management describes general aspects of this important area and gives a brief introduction to the various disciplines, which will be covered in more detail in following articles.

Cited by 0

Host variables—Ring network.

Lucas D. Fernandes (8033354), Angelica S. Mata (12418732), Wesley A. C. Godoy (10573434) et al. · Figshare · 2022

<p>Average host density per crop site (first row) and average host occupancy per crop site (second row) as functions of the percentage of refuge areas on the lattice, for random, block, and border distributions of refuge areas (first, second, and third columns, respectively). Ten points are shown for each percentage of refuge areas, one for each node on the external network. Each point corresponds to the average density or occupancy for that node over 50 simulations, with error bars showing one standard error of the mean. Results are shown for two values of parasitoid dispersal radius <i>R</i><sub><i>P</i></sub> = 1 (blue circles) and <i>R</i><sub><i>P</i></sub> = 3 (orange triangles). External network (regional connectivity) has ring topology.</p>

Cited by 0Open access

Ring Buffered Network Bus

NASA Technical Reports Server (NASA)

This report describes the research effort to demonstrate the integration of a data sharing technology, Ring Buffered Network Bus, in development by Dryden Flight Research Center, with an engine simulation application, the Java Gas Turbine Simulator, in development at the University of Toledo under a grant from the Glenn Research Center. The objective of this task was to examine the application of the RBNB technologies as a key component in the data sharing, health monitoring and system wide modeling elements of the NASA Aviation Safety Program (AVSP) [Golding, 1997]. System-wide monitoring and modeling of aircraft and air safety systems will require access to all data sources which are relative factors when monitoring or modeling the national airspace such as radar, weather, aircraft performance, engine performance, schedule and planning, airport configuration, flight operations, etc. The data sharing portion of the overall AVSP program is responsible for providing the hardware and software architecture to access and distribute data, including real-time flight operations data, among all of the AVSP elements. The integration of an engine code capable of numerically "flying" through recorded flight paths and weather data using a software tool that allows for distributed access of data to this engine code demonstrates initial steps toward building a system capable of monitoring and modeling the National Airspace.

Cited by 0Open access

The hyper-ring network

Fadi N. Sibai · 1998

Article Free Access Share on The hyper-ring network: a cost-efficient topology for scalable multicomputers Author: Fadi N. Sibai Intel Corporation, 2200 Mission College Blvd., Santa Clara, CA Intel Corporation, 2200 Mission College Blvd., Santa Clara, CAView Profile Authors Info & Claims SAC '98: Proceedings of the 1998 ACM symposium on Applied ComputingFebruary 1998 Pages 607–612https://doi.org/10.1145/330560.330982Online:27 February 1998Publication History 9citation407DownloadsMetricsTotal Citations9Total Downloads407Last 12 Months9Last 6 weeks3 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

Cited by 16Open access

Token Ring Network Design

David M. Bird · 1993

* Preface 1. Introduction to Token Ring networks Overview * How does a Token Ring work? * Logical vs physical ring topology * Wire centres, hubs and concentrators * MAC frames and design * Errors and beaconing * Considerations for 16Mbps network designs 2. Network planning overview Network design consideration * Nodes * Multistation access units * Network repeaters * Media considerations * Environmental factors * Costs * Planning stages 3. Defining and locating nodes Beginning the design * Documentation * Types of node 8 Stage one-summary 4. Wiring closets, hubs and repeaters Physical network * Network components * Customer and site requirements * Locating wiring closets 8 Inter-closet cabling * Locating wire centres (MAUs) and racks * Verifying the design 5. Verifying the design: rules and formulae for STP cabling Introduction * Single wiring closet networks without repeaters * Multiple wiring closet networks without repeaters * Multiple wiring closet networks with repeaters * Network design using workgroup wire centres * Calculating the MLL for the sample network 6. Verifying the design: rules and formulae for UTP cabling Introduction * Single wiring closet networks without repeaters * Multiple wiring closet networks without repeaters * Multiple wiring closet networks with repeaters * Network design using workgroup wire centres * Calculating the MLL for the sample network 7. Verifying the design: rules and formulae for fibre optic cabling Introduction * Types of fibre optics link * Verifying fibre optic network designs 8. Summary and final planning steps Introduction * Cost analysis * Finalizing the network plan * Appendix A. Copper and fibre optic cables Copper cables * Token ring copper cable connectors * Fibre optic cables * Token Ring fibre support * Appendix B. Planning rules and formulae Deriving the general formula * Summary of planning rules and associated formulae * Planning rules and formulae for UTP networks * Token Ring design formulae: table summary * Appendix C. Planning forms * Glossary * Bibliography * Index

Cited by 4

Nonlinear Tensor Ring Network

Xiao Peng Li, Qi Liu, Hing Cheung So · arXiv (Cornell University) · 2021

The state-of-the-art deep neural networks (DNNs) have been widely applied for various real-world applications, and achieved significant performance for cognitive problems. However, the increment of DNNs' width and depth in architecture results in a huge amount of parameters to challenge the storage and memory cost, limiting to the usage of DNNs on resource-constrained platforms, such as portable devices. By converting redundant models into compact ones, compression technique appears to be a practical solution to reducing the storage and memory consumption. In this paper, we develop a nonlinear tensor ring network (NTRN) in which both fullyconnected and convolutional layers are compressed via tensor ring decomposition. Furthermore, to mitigate the accuracy loss caused by compression, a nonlinear activation function is embedded into the tensor contraction and convolution operations inside the compressed layer. Experimental results demonstrate the effectiveness and superiority of the proposed NTRN for image classification using two basic neural networks, LeNet-5 and VGG-11 on three datasets, viz. MNIST, Fashion MNIST and Cifar-10.

Cited by 0Open access

Multistage ring network: a new multiple ring network for large scale multiprocessors

Dongho Yoo, Inbum Jung, Seung Ryoul Maeng et al. · 2003

We present a new multiple ring network for multiprocessors, called the multistage ring network (MRN). The MRN has a 2-level hierarchy of register insertion rings, and its interconnection of global rings forms a type of the multistage network. The architecture of the MRN is effective at diffusing the global traffic to all global rings and the bandwidth of the network increases proportionally with increases in the system size. At the same time, the MRN retains the economic design and high speed communication advantages of the ring network. We develop a deadlock-free routing algorithm for the MRN. We also present a performance analysis of the MRN and compare the results with those of a hierarchical ring network.

Cited by 0

Coupled ring network (model A).

Paul C. Bressloff (817254) · Figshare · 2019

<p>(a) Amplitude of normalized mean tuning curve (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006755#pcbi.1006755.e080" target="_blank">36</a>) as a function of the input parameter <i>κ</i> = <i>κ</i><sub>1</sub> = <i>κ</i><sub>2</sub> for various coupling strengths: <i>χ</i> = 0, 1, 5. (b) Corresponding maximum (<i>θ</i> = <i>π</i>/2) and minimum (<i>θ</i> = 0) normalized variances (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006755#pcbi.1006755.e081" target="_blank">37</a>) as a function of the input parameter <i>κ</i> for coupling strengths <i>χ</i> = 0, 5. (c) Plot of correlation tuning curve (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006755#pcbi.1006755.e085" target="_blank">39</a>) between cells with the same direction preference but located in different layers. Here <i>κ</i> = <i>κ</i><sub>1</sub> = <i>κ</i><sub>2</sub> and <i>χ</i> = 5.</p>

Cited by 0Open access