reliability evaluation of a large-scale composite power system faces to numerous events/outage and consequently imposes an extensive burden of calculations. in order to simplify the problem, determination of an equivalent system for large-scale power system is inevitable. this paper proposes a framework as reduction technique to separate a composite power system to three areas: external area, o...

   Evaluate the performance of companies on the Stock Exchange using non-parametric methods is very important. DEA and DEA-R with the strategies for piecewise linear frontier production function and use of available data, assess the stock company. In this study, using a neural network algorithm DEA and DEA-R is suggested to classify the first companies in the stock exchange; Secondly, using the...

Visualization is increasingly important for understanding the structure of communication networks and services on them, but displaying the data associated with very large networks is di cult. There are abundant research problems in visualization metaphors, methods, algorithms and the engineering of scalable interactive systems. This area is being addressed in the AT&T Infolab, a multi-disciplin...

Intruders often combine exploits against multiple vulnerabilities in order to break into the system. Each attack scenario is a sequence of exploits launched by an intruder that leads to an undesirable state such as access to a database, service disruption, etc. The collection of possible attack scenarios in a computer network can be represented by a directed graph, called network attack gra...

AbstractAttention mechanism of late has been quite popular in the computer vision community. A lot work done to improve performance network, although almost always it results increased computational complexity. In this paper, we propose a new attention module that not only achieves best but also lesser parameters compared most existing models. Our can easily be integrated with other convolution...