ISSN 0236-235X (P)
ISSN 2311-2735 (E)

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Higher Attestation Commission (VAK) - К1 quartile
Russian Science Citation Index (RSCI)

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2
Publication date:
16 June 2024

Articles of journal № 2 at 2015 year.

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Public date | Title | Authors |

21. Formal model development for a process of finding solutions by the modified Rete algorithm for fuzzy expert systems [№2 за 2015 год]
Authors: Zaw Min Htike, Mikhailov I.S.
Visitors: 7543
The paper considers the basic concepts of fuzzy production expert systems. This type of expert systems is based on a set of rules presented in terms of linguistic variables. The authors propose a developed Rete algorithm modification for fuzz y rule base. It allows creating rules and solutions in the limited natural language and it provides system acceleration due to a single compu-ting the same conditions in the various rules. The authors proposed a decision tree formal model of a modified Rete algorithm for a fuzzy production knowledge base. The model consists of a set of vertex-conditions, vertex-solutions, relations between vertices and relations describing the fuzzy expert system rules. Rete algorithm modification graph is formed in such a way that in each ca se not a correct rule condition value is calculated, but linguistic variable values in the rule.The proposed algorithm processes rules from the fuzzy rule base and converts them into the formal model of a modified Rete algorithm decision tree. The difference between Rete al-gorithm modification and the classical algorithm is application to fuzzy variables. Therefore, the building of fuzzy truth values of decision tree vertices is performed by fuzzy operators at each stage of the algorithm. It allows formulating the conditions a nd conse-quences in the rule base as well as the solutions in the limited natural language. The same conditions are combined during decision tree construction. It provides acceleration of decision tree processing comparing to the sequential viewing of the expert sys tem rules.

22. Fractaltheory of information technologies of processing, analysis and classification of large astronomical data flows [№2 за 2015 год]
Author: Myshev A.V.
Visitors: 7450
The paper considers new approaches for constructing models and logic algorithms and procedures of information technologies of processing, analysis and classification of large astronomical dataflow of small bodies’ orbits and trajectori es. The au-thor based the methodology for constructing such models and schemes on fractal theory for constructing estimates of proximity and connectivity criteria of orbits and trajectories in the space of possible states. Logical, algorithmic and informative essenc e of meth-ods and techniques of the theory is as follows. First, processing and analyzing data flow of orbits to determine whether it forms a fractal structure. If yes, it is necessary to identify centers of flow fractal connectivity and obtain estimates of the index of orbits or trajectories information connectedness. Second, selection of monofractal structures in the stream and their classification ac cording to belonging to percolating fractal or fractal aggregate classes. In contrast to traditional methods, fractal theory of information technologies of processing, analysis and classification of large dataflows allows taking into account the properties of regular and irregular structure of the dataflow information state spac e scale as well as dynamic information and their relatedness. Formalism and logics of this theory allow fuller decoding the information that is hidden in dataflows of astronomical observations or measurements. In this case, we receive more complete and informative unde-formed semantic information picture of the research object, which allows giving more complete description of the mathematical and logical space of possible states of the objects observed in the trajectories of their evolution in terms of closure, restrict ions, exchange and uncertainty. On the other hand, it allows giving a mathematical description and the reflection distribution of the observed object in the real three-dimensional space in the local time moments and in the evolutionary development. Methods and approaches of the theory in logical and algorithmic schemes of cognitive information processing technologies and data flow analysis of astronomical observations and modeling results allow reflecting, describing and interpreting them as genetic information that is a carrier of domi-nant and recessive traits. These features are defined as dominant for an information decoding technology contained in the observa-tional data and modeling results. This approach to a mathematical description and presentation, logical organization and management of observations dataflows and modeling results reveals hidden patterns, which analysis can not be obtained by traditional ana-lyzing methods.

23. The architecture of a smart home management system integrated into the сloud environment [№2 за 2015 год]
Author: Nikolaev P.L.
Visitors: 10761
The article describes a flexible architecture of a smart home management system integrated into the cloud en-vironment. This cloud environment provides users with the infrastructure for remote control actuators and for monitoring and processing of data from different sensors that form the system of smart home. The paper presents the benefits for end users from integration of their smart houses into the cloud. The remote control is possible with mobile and stationary devices either via Internet or home LAN. The presented architecture corresponds to the concept of the “Internet of things”. The article pre-sents the typical hardware architecture of a smart home management system consisting of three levels of automation. Then the author offers the hardware scheme of a smart home management system integrated into the cloud and consisting of five levels of automation. The paper describes in detail all components of a smart home management system (the cloud server, the home server, the controller, control devices and terminal equipment) and ways of their interaction with each other. In addi-tion to the hardware component of the smart home management system architecture, the article also considers its software. For the interaction of control devices, cloud and home servers it is is necessary to apply web-services technology. The carried out analysis has revealed that the preferable option is to use a RESTful web service: a request and data transmission are car-ried in JSON via HTTP-requests (GET and POST). This paper also provides the execution algorithm of remote management function for smart home system.

24. Dynamic structures in relational databases [№2 за 2015 год]
Author: A.A. Poltavtsev
Visitors: 7531
There is a set of problems in the development of applications for work with databases. The principal cause of these problems is in non-optimized SQL queries and stored procedures. To achieve good productivity, it is necessary to make SQL queries correctly, create (or delete) additional indexes, denormalize a database (in certain cases), shift a part of logic on triggers and stored procedures. It is necessary to maintain agreed algorithms structuring methods, structuring methods of data used in these algorithms and structuring methods (storage schemes construction) for these data in databases based on a rel a-tional model. This paper is devoted to generation and a manipulation data structures in relational databases whose compo-nents in programming languages are connected by explicit indexes. The author considers a specific, rather simple data stru c-ture. It is a linear unidirectional coherent list. Lists as trees are among the most basic data models used in computer programs. In a sense, lists are simple forms of trees because one can think of a list as a binary tree where every left child is a leaf. How-ever, lists also present some aspects that are not special cases of what we have learned about trees. For instance, we shall talk about operations on lists such as pushing and popping that have no common analog for trees.

25. The problems of automation technological process of drilling oil and gas wells [№2 за 2015 год]
Author: Chernyi, S.G.
Visitors: 9154
Nowadays the problem of IT development and controlling equipment in the oil and gas recovery industry is very important. In addition to the system-managed automated equipment with its characteristics and compatibility problems, an important component of the automation process is the adequacy of its information support. Accounting for all the comp o-nents of the information system requires systematization approach (automation of drilling is a complex process; compatibility problems; the problem of information uncertainty; intelligent decision support systems; the expert knowledge base; automat-ed brake control; automated speed control; automation and control of fluids while drilling; the problem of energy supply). The work of a drilling platform (automation and information aspects), especially during the development of the great depths, faces many uncertainties. This constantly causes accidents and emergency situations that o ccur with a frequency which is not typical for other industries. In addition to the lack of data, there is also the problem of high speed changes. While moving to the project depth, the character of the rocks, pressure, temperature and other important para meters vary sharply and this re-quires continuous collection of information about them. Under uncertainty and high variability of existing decisions on fu r-ther drilling operations management the use of intelligent systems for decision -making based on fuzzy logic and soft compu-ting is considered to be perspective. A new group of automation facilities can help to overcome many problems typical of the oil and gas industries, to improve the efficiency of oilfield development. This group can include new developments in the field of downhole sensors that will provide measurements of high quality; new developments in the design of drill pipes with cable or fiber optic wiring that will help to provide large amounts of received information to the surface.

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