The Experts below are selected from a list of 187638 Experts worldwide ranked by ideXlab platform

L I Peifeng - One of the best experts on this subject based on the ideXlab platform.

  • design of fast discovery system of Network Topology based on ospf
    Computer Engineering, 2006
    Co-Authors: L I Peifeng
    Abstract:

    The article puts forward a fast discovery algorithm for Network Topology based on OSPF to aim at the existing problems in the Network Topology discovery system.Then it discusses the algorithm of adding,modifying Topology information and drawing Topology map,and analyses the performance and characteristic of this algorithm.It also discusses the technology of fast displaying Topology information with graph and the key techniques to implement the display system.The experimental result shows that the new system has the features of fast discovering the Topology and good displaying effects compared with the similar system in the WAN environment.

Luo Jun-yong - One of the best experts on this subject based on the ideXlab platform.

Uzma Nawaz - One of the best experts on this subject based on the ideXlab platform.

  • individual variation in brain Network Topology is linked to emotional intelligence
    NeuroImage, 2019
    Co-Authors: George Ling, Synthia Guimond, Olivia Lutz, Neeraj Tandon, Uzma Nawaz
    Abstract:

    Abstract Background Social cognitive ability is a significant determinant of functional outcome, and deficits in social cognition are a disabling symptom of psychotic disorders. The neurobiological underpinnings of social cognition are not well understood, hampering our ability to ameliorate these deficits. Objective Using ‘resting state’ functional magnetic resonance imaging (rsfMRI) and a trans-diagnostic, data-driven analytic strategy, we sought to identify the brain Network basis of emotional intelligence, a key domain of social cognition. Methods The study included 60 participants with a diagnosis of schizophrenia or schizoaffective disorder and 45 healthy controls. All participants underwent a rsfMRI scan. Emotional Intelligence was measured using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). A connectome-wide analysis examined how each individual brain voxel's connectivity correlated with emotional intelligence using multivariate distance matrix regression (MDMR). Results We identified a region in the left superior parietal lobule (SPL) where individual Network Topology is linked to emotional intelligence. Specifically, in high scoring individuals, this region is a node of the Default Mode Network and in low scoring individuals, it is a node of the Dorsal Attention Network. This relationship was observed in both schizophrenia and healthy comparison participants. Conclusion Prior studies have demonstrated individual variance in the Topology of canonical resting state Networks but the cognitive or behavioral relevance of these differences has largely been undetermined. We observe that the left SPL, a region of high individual variance at the cytoarchitectonic level, also demonstrates individual variance in its association with large scale resting-state Networks and that Network Topology is linked to emotional intelligence.

Luo Yunqian - One of the best experts on this subject based on the ideXlab platform.

  • svg based design of graphical Network Topology display
    Electronics Optics & Control, 2007
    Co-Authors: Luo Yunqian
    Abstract:

    The graphical display of Network Topology is of great significance for making the Topology information visible and realizing the man-machine communication in Network management.Scalable Vector Graphics(SVG) is introduced to the Network Topology management module,and a SVG based model of Network Topology display system is presented.The specific model design and realization method is given with regard to data analysis and graphical display,respectively.Using the method,the Network management system software greatly enhances graphical user interface,and facilitates the integration of other modules.

  • the svg based design of graphical Network Topology display module
    Journal of Air Force Engineering University, 2007
    Co-Authors: Luo Yunqian
    Abstract:

    SVG(Scalable Vector Graphics) is introduced to the Network Topology management module,and a SVG based model of Network Topology display system is presented.The specific module design and realization method are given respectively with regard to data analysis and graphical display.By this method,the Network management system software can be used to greatly enhance graphical user interface,which facilitates the integration of other modules.

Wu Wen - One of the best experts on this subject based on the ideXlab platform.

  • a graphic database based Network Topology and its application
    Power system technology, 2002
    Co-Authors: Wu Wen
    Abstract:

    Network Topology is the basis of power system analysis software and it is also the kernel of visualized EMS to establish Network Topology by visualized method.In this paper an abstract object oriented model for power Network Topology is put forward and a versatile and easily expandable representing method of power system Topology is built up.On the integrated platform of graphic database a fast algorithm which can automatically and quickly generate Topology by use of coordinate relations in vectorgram is realized.The core of this method is that the calculation workload can be decreased by compressing the number of graph icons taken both part in the Topology formation and by using a partitioning method.Adopting the presented object oriented Network Topology model,a novel Topology algorithm for Network tracking based on node merging is implemented,and with this algorithm the applied programs such as dynamic colouring in SCADA and checkup of dispatching operation in DTS,etc.,are developed.