YURY ALEKSEEVICH KRAVCHENKO
+7(863) 437-16-51
officer
Southern Federal University
Professor
Institute of Computer Technologies and Information
Security
Research interests:
The main interest is problem of design the modified design methodology of problem domain ontology to develop problem-oriented informational system for activation knowledge management on the basis of component and ontology description, ontology fragments at categorical level and interpretation function. The developed ontology is a basis for knowledge transformation to the data repository which maintains a decision support with the use of search methods and algorithms. These methods and algorithms involve semantic concentration of knowledge as well as optimization models and methods represented in ontology. In future at this stage new knowledge are actualized by means of decision support trajectory generation in the form of logical reasoning chains and solution search strategy based on fuzzy inference technology.
Research projects:
There was developed and investigated a new architecture and algorithms of informational problem-oriented system which activates knowledge management based on the hierarchical decomposition of semantic relations in domain concept ontology. The architecture of the developed subsystem contains a set of modules interconnected with each other by means of algorithms from the system core. A central module for generation of semantic nets allows us to create integrated structure in which all modules connect with each other at the domain concept level.
Also it was researched the practical implementation of suggested architecture and algorithms of informational problem-oriented system which activates knowledge management based on domain concept ontology. The developed architecture and algorithm were analyzed. The assessment of performance was conducted on the basis of benchmarks by speed and robustness criteria and achievement of the specified quality of solution. There were obtained a performance factor in multi-core and cluster architectures as well as in metacomputing systems.
Teaching:
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CALS- technology in SAP decision
The main purpose of research is creation of effective models simulation of business processes management in the conditions of uncertainty. Existence of uncertainty complicates the forecast of information flows stability and makes it impossible to create models on the basis of analytical expressions. Therefore intellectual data analysis methods application and CALS-technologies for an assessment of efficiency of ERP modules integration with external systems, on the example of CAD is expedient.
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Modern computer technologies
The academic discipline "Modern computer technologies" (author's course) refers to the block "Disciplines", the variable part of the master's program (1 semester, all directions of preparation ICTIS SFedU). The knowledge, skills and skills formed by the discipline "Modern computer technologies" are necessary for the formation of a conceptual system of knowledge and skills for further study, research and development of specialized approaches to the use of computer technologies in scientific and professional activities and serve as a basis for understanding problems and prospects for their development.
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Methods and algorithms for the design of integrated information systems
The educational discipline "Methods and algorithms for the design of integrated information systems" (author's course) refers to the block "Disciplines", the basic part of the master's program (2.3 semester, direction 09.04.01 - Informatics and computer technology). The knowledge, skills and skills formed by the discipline "Methods and algorithms for the design of integrated information systems" are necessary for carrying out basic research in the preparation and protection of final qualification work, as well as for further study, research and development of specialized approaches to application of information technologies in scientific and professional activity.
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Cals- and Case-technologies
The academic discipline "Cals- and Case-technologies" (author's course) is intended for students to acquire knowledge in the fields of life-cycle management of science-intensive products and support the life cycle of software development, as well as the skills and skills of effective use of methods of information and simulation in professional activities. Discipline is read in the 8th semester of the 4th year of the bachelor's degree, the direction of preparation 09.03.01 - Informatics and computer technology, ICTIS SFedU.
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Big Data Technologies
The educational discipline "Big Data Technologies" (author's course) is dedicated to the formation of students' professional competencies in the development and use of processing systems and analysis of large data arrays. This goal correlates with the goal of the educational program in terms of studying technologies for developing software systems that are responsible for processing big data. Discipline is read in the 2 semester of the 2 year of the masters degree, the direction of preparation 09.04.01 - Informatics and computer technology, ICTIS SFedU.
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