Today, SDL and SystemC are two very popular languages for embedded systems modeling. SDL has specific advanced features that make it good for reflection of the multi-object systems and interactions between modules. It is also good for system model validation. The SystemC models are better suitable for tracing internal functions of the modeled modules. The hypothetical possibility of combined use of these two languages promises a number of benefits for researchers. This article specifically addresses and discusses the integration of SDL and SystemC modeling environments, exchange the data and control information between the SDL and SystemC sub-modules and the real-time co-modeling aspects of the integrated SDL/SystemC system. As a result, the mechanisms of SDL/SystemC co-modeling is presented and illustrated for an embedded network protocols co-modeling case study. The article gives an overview and description of a co-modeling solution for embedded networks protocols simulation based on experience and previous publications and research.
The algorithm for selection of n-words and formation of a description of the subject area in the form of a fuzzy ontology based on the hybridization of linguistic and statistical methods of text analysis has been developed. The input data of the algorithm are text sequences in machine language, the result of the algorithm operation is the description of the subject area in the form of a fuzzy ontology. The definition of classes of fuzzy ontologies in accordance with the source code is carried out using several machine learning algorithms that combine methods of data preparation and prediction. Methods “Bootstrap”, “Bagging” and “Random forest” were used to classify text sequences. A feature of the developed algorithm is the need to represent ontology objects mainly in the form of one-words with maximization of the number of relations between objects.
The article describes the tasks of data mining, data modeling, presents a classification of data models, and also develops a formal model for representing various types of weakly structured and unstructured information resources. The developed formal model for representing various types of weakly structured and unstructured information resources within the framework of the software environment represents the theoretical basis for creating tools for solving the applied problem of automatic analysis of documentation on paper and digital media for the subsequent cataloging of poorly structured information.
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