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  • Comparative analysis of the structure of sheet and modified cellulose

    An impact on mechanochemical activation on morphology and structure of wood cellulose was examined. A comparative analysis of structure of sheet cellulose and fluffed cellulose was made using infrared spectroscopy and scanning microscopy. It was given that the cellulose I tranformed into a modification of cellulose II with more reacting power as a result of pulping. It ascertained that mechanochemical activation of the cellulose can increase the physical and chemical indicators of technical carboxymethylcellulose.

    Keywords: cellulose, mechanochemical activation, carboxymethylcellulose

  • Comparative analysis of the syntactic parsers organization

    The article describes peculiarities of modern syntax parser systems and problems originating in text analysis. As a result of comparative analysis the authors propose a unified approach to processing of unstructured texts in Russian and English which combines morphology and syntax processing. The developed syntax analysis system, using verbs’ valency dictionary, samples of minimal structural schemes of sentences and samples of conjunctions, allows choosing predicative structures of sentences in the text, realizing initial semantic analysis due to semantic content of predicate’s actants and building trees of syntactical subordination of sentences. The derived trees hold elements of tree of constitutives and tree of dependences. The proposed samples and rules organization allows resolving some of the problems of modern parsers. And the use of verbs’ valency dictionary allows reducing the number of sentences syntax analysis variants.

    Keywords: automatic text processing; syntax parser; morphological analysis; structural text elements

  • Multicriteria decision making under risk based on the integration of multi-agent, evolutionary modeling and numerical methods

    Decision making in the organizational and technical systems is complicated by the risk of various events emergence in the systems with a given probability. The article describes a method for supporting decision making under risk on the basis of integration of evolutionary, multi-agent, simulation models and numerical methods. In the course of the method's work the following steps are performing: a set of alternatives solutions is formed;  transition to a one-criterion alternatives evaluation is fulfilled by using linear convolution; transition to the system behavior certainty is fulfilled with the use of numerical optimization Bayes-Laplace criterion. The developed method is applied to solving the projects scheduling problem; the results agree with the problem solution that has been performed by using genetic algorithm method under certainty.

    Keywords: decision making risks, multi-agent modeling, numerical methods of decisions optimization, scheduling problem, evolutionary modeling