By applying advantage of Markov information source entropy on describing random process, this paper realizes the quantification of R&D experience uncertainty for space systems.

Markov Characterization of LV Power Line Communications Systems Channels;

Application of Markov Analysis Model in the Computer Predicting Systems;

Application of Markov Grey Residual Error Modeling Method to Construction Control of PC Continuous Rigid Frame Bridge

Novel network traffic forecasting algorithm based on grey model and Markov chain;

The Application of Markov Chain’s Analysis in Studying Sedimentary Facies of Dongzakou Group of Later Carboniferous Epoch in Lixian County, Gansu Province;

Fuzzy Comprehensive Appraisement Model Based on Markov Chain of Teaching Quality Evaluation on Physical Education;

Application of Markov chains to test stage of engineering project;

Application of Prediction & Decision on the Ceramic Product Market with Markov Chains;

A Study about Application of Markov Chains in Colleges and Universities Performance Evaluation;

At first, linear prediction technique is employed to extract features from system call sequences of the privileged processes which are used to make up of the character database of those processes, and then the Markov model is founded based on the features; and Markov information source entropy and condition entr.

This method processed the text and the words in it as the m-order Markov source and the source symbols respectively,then computed the redundancy of the source.