Software & Systems

Articles of journal № 2 at 2015 year.

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21. Early warning system of drinking water quality parameters violation [№2 за 2015 год]
Author: Bubyr D.S.
Visitors: 10183
Nowadays water treatment process is significant and of great interest due to the difficult environmental situa-tion caused by industrial and household activities of people. It is important to maintain the water treatment quality at the proper level, as it directly affects human health. Eventually the state of the water source may be changed, so it is necessary to adapt the water treatment process to these changes. It is necessary to constantly monitor not only the state of an incoming wa-ter source, but also the results of each water treatment. An early warning system was developed to response to a possible ab-normal situation, in which drinking water quality parameters are out of rage, in time. Physical and chemical parameters of water source and drinking water obtained after purification as well as operated factors, which affect the water treatment quality, are controlled regularly and form time series system. The procedure of possible abnormal situation detection consists of two stages. The first stage includes modeling and forecasting the water source state factors based on vector autoregression approach. At the second stage piecewise linear regression dependences of quality factors (with a response break) from physi-cal and chemical parameters of water source and operated factors, which characterize the work of water treatment system, are used to forecast drinking water quality parameters. In addition, for each indicator of drinking water quality there is its own model of optimal order based on the modeling sample of the optimal volume. The system quality is estimated using a test sample.

22. Decision-making in high-tech products production systems [№2 за 2015 год]
Authors: Burdo G.B., Vinogradov G.P., Isaev A.A.
Visitors: 8954
The features of multiproduct production (MP) of high-tech products are determined by simultaneous performing a large number of orders while solving its development (evolution) problems. Filling of orders shall be performed within a conc eptual scheme that defines the long-range and tactical MP goals. MP functions under uncertainty when the manager is unable to accurately determine the external environment state. As a consequence, he has a hard time choosing a course of action. To remove uncertainty in decision making it is appropriate to use subjective assessment of the situation and a solution vari ant obtained on the basis of agreement of all concerned parties. This problem is primarily related to the difference in the perception of choice when fill ing the orders by production staff. To solve this problem the authors suggest an information theory of hierarchical systems and the theory of active systems as a theoretical basis. However, the development of practically useful decision-making models in hierarchical sys-tems, where there are no antagonistic contradictions due to common goals and interests, is far from practical completion. According to the authors, the solution of this problem is in the specificity of modern high -tech production that operates under risk, uncertainty and dynamics of both external and internal environment. The paper presents the mathematical statement and description of the agreed decision-making problem. They suppose that the agents which control their subsystems know and “feel” their controlled objects as they see them. They allow “playing” different pro-duction situations. The paper shows a model and an algorithm for making coordinated decisions which become the basis for an ex-ample of using the method in the typical company.

23. Formation of agent’s representations of the domain in a situation of choice [№2 за 2015 год]
Authors: Vinogradov G.P., Shmatov G.P., Borzov D.A.
Visitors: 9019
The work is relevant due to the fact that the IT effectiveness in managing a multi -agent system under uncer-tainty depends on how the agents with their help shape their own subjective understanding of the properties of choice situ a-tion. To create a “correct impression” the agent (subject) collects information for “removing” various uncertainties and form-ing a hypothetical model of the situation of choice. The objective of the work is development of modeling techniques aimed at identifying mental strategies of a specific agent by analysing its behavior, speech patterns, non-verbal reactions in situations of purposeful state, selection and operating ways. This involves interaction of a researcher and an agent. In the process of this interaction specific cognitive, linguistic and behavioral skills are revealed. They are used by the subject in the situations of choice to achieve desired results. They, in turn, reflect a value system, norms, potentials, beliefs and knowledge of a specific subj ect. These patterns are represented in shaping decisions and implementing them in the behavior. In this connection, it is of interest to develop mathematical models that take into account the agent's behavior based on the theory of fuzzy systems and the th eory of relations as well as to prove the possibility of application of fuzzy measures for including subjective evaluations in the selection model. The authors chose following research methods: general methodology and methods of system analysis, analytical model-ing and methods of theories of set, theory of active systems, decision making theory, theory of artificial intelligence, theo ry of fuzzy systems and fuzzy logic, game theory. The paper investigated the structure and types of agent’s representations about the purposeful state situation. Based on subjective perceptions of reality the authors formalized a model of choice. It is shown that the description of concepts through agent’s language form a model. The agent assesses this model using the terms of the linguistic variable “conviction of the utility”. This assessment expresses the agent’s confidence in usefulness of the model-presentation for transition from one purposeful state to another. The paper shows how this assessment changes as new information is being received. To cal-culate the membership function it is proposed to use the Zadeh’s compositional rule. There are evaluates to describe the level of agent’s confidence and a degree of doubt in the usefulness of its ideas. It is shown that when the agent evaluates its repre-sentation using a set of parameters, the representation quality under uncertainty can be evaluated using fuzzy integral. This technique allowed the authors to propose the algorithm of a certain level of agent’s conviction in the us efulness of its ideas. There is a description of the algorithm application in medical diagnostics.

24. Fractaltheory of information technologies of processing, analysis and classification of large astronomical data flows [№2 за 2015 год]
Author: Myshev A.V.
Visitors: 7490
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.

25. Expert system for monitoring of technological processes [№2 за 2015 год]
Authors: Burov A.N., Kalabin, A.L., Kozlov A.V., Pakshver E.A.
Visitors: 12989
The authors describe an expert system for technologists who work in polyacrylonitrile fibers production. It can help to process and analyze data. The expert system is a part of a larger software system for monitoring technological pro-cesses. The aim of the monitoring system is to gather, store and process data about the state of technological process parame-ters. The expert system analyses data stored by the monitoring system. It consists of two parts: the module for rule creation and the module for rule checking. The module for rule creation allows technologists to store their knowledge as a set of rules in a database. This feature helps to store technologists experience and pass it to other specialists. Every rule includes IF and THEN parts. The IF part contains various logical conditions. The THEN part has conclusion that should be made if logical conditions are true. The system allows creating complex rules based on other simple rules. The module for checking rules al-lows specialists to apply some rule to data set and check logical conditions against that data. The article describes system ar-chitecture and its place in the monitoring system. The work of the system is demonstrated on data from the real process of correlation assessment.

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