The goal of this article is to present an architecture of a system that tries toprepare the students from specialization Computer science in Economy for the labormarket, through a integrated, interactive and intelligent system, gained through a proactivecollaboration between the university and...

We propose a dynamic packet routing strategy by using neural networks on scale-free networks. In this strategy, in order to determine the nodes to which the packets should be transmitted, we use path lengths to the destinations of the packets, and adjust the connection weights of the neural...

Occurrence of congestion of packet flow in computer networks is one of the unfavorable problems in packet communication and hence its avoidance should be investigated. We use a neural network model for packet routing control in a computer network proposed in a previous paper by Horiguchi and...

In a computer network where nodes can fail, multipath transmission can be used to increase the probability of successful transmission. However, even multipath transmission has a probability of failure, which depends on the selected paths. Hence, estimating this probability of failure is of great...

Globalisation is a fairly broad term that describes the phenomena of the 'local' turning into the 'global', or the coming together of different aspects of the world into a single and identifiable state. While the term globalisation may have at first been strictly applied to the international...

Globalisation, the unavoidable process which the world entered, is affecting everyone of us in different ways. Globalization means growing permeability of all the boundaries such as time and space, national and state borders, borders of economy, branches and organizations and less tangible...

It is discussed by the use of simulations how the self-similar nature emerges in the computer network traffic. We propose a new model which incorporates the realistic communication procedure. In this model, the self-similarity is partially realized depending on the maximum data length and not on...

We propose a dynamic programming for optimal packet routing control using two neural networks within the framework of statistical physics. An energy function for each neural network is defined in order to express competition between a queue length and the shortest path of a packet to its...

We propose a new algorithm for controling packet routing by a neural network. First, we show that the conventional method for a packet routing control using a neural network is not so effective when it is applied to a network with irregular topology. To overcome this problem, we propose a...

Using a simple cellular automaton model of data packets transport in the Internet, the travel times of data packets and transport rates of routers along a fixed path are studied. In this model the additive increasing of transport rates, extraneous random interferences and finite capacity of...