To detect anomalous activitys for the inside threateners and classify the same,

Markov Chain Model has been applied in the present this paper.

where t represents the order of the

Markov chain. Here, the transition probability matrix for various existing drought classes at the previous i time step is represented as

The deterministic description of the 5-state

Markov chain model for exocytosis is given by the following ODE system:

Through a novel mapping, Markovian switching topologies are governed by a set of

Markov chains to the edges of the graph.

the probability that the

Markov chain moves from state i to state j, in h steps and the matrix

In order to estimate the duration time of residual energy, this strategy uses future vehicle speed predicted by a

Markov chain model.

If [DELTA]r = 1, the state of the

Markov chain is the set {1,2, ..., N}.

In particular, we consider a system with K = 6 queues, each having capacity C = 10, which results in a

Markov chain with M = 1.771.561 states.

There are at least two reasons for us to select n-order

Markov chain model.

The

Markov chain for parameter [k.sub.6] also does not reach its stationary distribution (Figure 8).

The application developed from the mathematical model based on the

Markov chain theory allows for the reduction of the distance travelled by the transfer- transport system and of its functioning time at the moment of loading and unloading of parts.

It normalizes the each step length autocorrelation coefficient, that [w.sub.k] regards as various lag time (step length)

Markov chain weight (m is the maximum order).