On the Validation and Analysis of a New Method for Power Network Connectivity Determination

1982 ◽  
Vol PER-2 (2) ◽  
pp. 19-20 ◽  
Author(s):  
M. Bertran ◽  
X. Corbella
Author(s):  
Ф.Х. НАХЛИ ◽  
А.И. ПАРАМОНОВ

Анализируется фрактальная размерность (ФР) сети связи и ее использование для исследования и планирования сетей связи. Рассматривается применение метода «выращивания кластера» для оценки ФР и предлагается новый метод определения ФР сети, основанный на оценивании связности сети путем поиска кратчайших путей. Показано, что оценка ФР сети является дополнительной характеристикой, отражающей топологические свойства сети. Дается сравнительный анализ предложенного метода и «выращивания кластера». Полученные результаты позволяют выбрать метод и получить оценки ФР сети в зависимости от ее особенностей. The paper analyzes the fractal dimension of the network and its use for telecommunication networks research and planning. The analysis of the "cluster growing" method for assessing the fractal dimension is given and a new method for assessing the fractal dimensionof anetwork is proposed, based onassessing the network connectivity by finding the shortest paths. The article shows that the assessment of the fractal dimension of the network is an additional characteristic that reflects the topological properties of the network. Comparative analysis of the proposed method and "cluster growing" is given. The results obtained make it possible to select a method and obtain estimates of the fractal dimension of the network, depending on its features.


2014 ◽  
Vol 556-562 ◽  
pp. 4591-4595
Author(s):  
Lin Wei Li ◽  
Xing He Ma ◽  
Lian Ming Zhang

Aiming at the defects of repeating searching the path, low efficiency and the slow speed of the traditional topology algorithm, proposes a network topology algorithm based on Breadth-First-Search in this paper.Introduces the topology modeling method,and the electric equipment is abstracted into nodes and branches,making the topology process not constrained by the network connection and structure,enhancing universal property of the algorithm.Then introduces the traditional method, and analysises the disadvantages. At the same time,puts forward a new method. Uses node-branch adjacency list in the new method,which improves the topology speed.When the local switch information is changed, can modify the node-branch adjacency list to conduct the local re-topology,so it improves the topology flexibility. Finally, through the example, proves the superiority and practicability of this algorithm.


2017 ◽  
Author(s):  
Silke Kreitz ◽  
Benito de Celis Alonso ◽  
Michael Uder ◽  
Andreas Hess

AbstractResting state (RS) connectivity has been increasingly studied in healthy and diseased brains in humans and animals. This paper presents a new method to analyze RS data from fMRI that combines multiple seed correlation analysis with graph-theory (MSRA). We characterize and evaluate this new method in relation to two other graph-theoretical methods and ICA. The graph-theoretical methods calculate cross-correlations of regional average time-courses, one using seed regions of the same size (SRCC) and the other using whole brain structure regions (RCCA). We evaluated the reproducibility, power, and capacity of these methods to characterize short term RS modulation to unilateral physiological whisker stimulation in rats. Graph-theoretical networks found with the MSRA approach were highly reproducible, and their communities showed large overlaps with ICA components. Additionally, MSRA was the only one of all tested methods that had the power to detect significant RS modulations induced by whisker stimulation that are controlled by family-wise error rate (FWE). Compared to the reduced resting state network connectivity during task performance, these modulations implied decreased connectivity strength in the bilateral sensorimotor and entorhinal cortex. Additionally, the contralateral ventromedial thalamus (part of the barrel field related lemniscal pathway) and the hypothalamus showed reduced connectivity. Enhanced connectivity was observed in the amygdala, especially the contralateral basolateral amygdala (involved in emotional learning processes). In conclusion, MSRA is a powerful analytical approach that can reliably detect tiny modulations of RS connectivity. It shows a great promise as a method for studying RS dynamics in healthy and pathological conditions.


2012 ◽  
Vol 27 (1) ◽  
pp. 381-389 ◽  
Author(s):  
Jun Shu ◽  
Lei Wu ◽  
Zuyi Li ◽  
Mohammad Shahidehpour ◽  
Lizi Zhang ◽  
...  

Author(s):  
C. C. Clawson ◽  
L. W. Anderson ◽  
R. A. Good

Investigations which require electron microscope examination of a few specific areas of non-homogeneous tissues make random sampling of small blocks an inefficient and unrewarding procedure. Therefore, several investigators have devised methods which allow obtaining sample blocks for electron microscopy from region of tissue previously identified by light microscopy of present here techniques which make possible: 1) sampling tissue for electron microscopy from selected areas previously identified by light microscopy of relatively large pieces of tissue; 2) dehydration and embedding large numbers of individually identified blocks while keeping each one separate; 3) a new method of maintaining specific orientation of blocks during embedding; 4) special light microscopic staining or fluorescent procedures and electron microscopy on immediately adjacent small areas of tissue.


1960 ◽  
Vol 23 ◽  
pp. 227-232 ◽  
Author(s):  
P WEST ◽  
G LYLES
Keyword(s):  

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