Abstract: The paper covers the properties of domains with complicated structures and describes information and program components of shells of intelligent systems for such domains, defines all the properties of shell components. It is noted that the maintenance subsystem that adds new program components to the shell is an important component.

Keywords: Specialized Shell of Intelligent System, Program System Based on Ontology, Multilevel Domain Ontology

ACM Classification Keywords: I 2.5 – Expert system tools and techniques.

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SPECIALIZED SHELLS OF INTELLIGENT SYSTEMS FOR DOMAINS WITH COMPLICATED STRUCTURES

Irene Artemieva

http://www.foibg.com/ibs_isc/ibs-11/ibs-11-p17.pdf

Abstract: The paper is on common approach to the problem of a subscriber choice for the making connection through the telecommunication network. One opportunity is to make repeated calls; the second one is to choose other provider. The problem of the traffic (and therefore, the income) lost induced by a low quality of service is given in detail. Quality of service dependence of the number of repetitive calls is proposed and verified by real network traffic measurements.

Keywords: quality of service, repeated calls, answer seizure ratio, traffic engineering

ACM Classification Keywords: G.3. Stochastic processes K.6.4 System Management, Quality assurance

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N A PROBLEM OF QOS CHARACTERISTICS INTERPRETATION IN TRANSIT NETWORKS

Gleb Andrianov, Stoyan Poryazov, Ivan Tsitovich

http://www.foibg.com/ibs_isc/ibs-11/ibs-11-p08.pdf

Abstract: A concept of using game based approach for IT education is presented. The learning course notation rules for using in games are suggested. Techniques for integration of learning components to the game are described. The realization of the learning game for programming language C++ is shown.

Keywords: educational games, digital game-based learning, course notation, game engine, learning engine.

ACM Classification Keywords: K.3.1 Computer Uses in Education; K.3.2 Computer and Information Science Education

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GAME-BASED APROACH IN IT EDUCATION

Olga Shabalina, Pavel Vorobkalov, Alexander Kataev, Alexey Tarasenko

http://www.foibg.com/ibs_isc/ibs-12/ibs-12-p08.pdf

Abstract: In search for new aspects, roots and manifestations of human consciousness, not yet considered extensively by AI researchers, the domain of esotericism was looked at, namely, the phenomenon of miracles, different types of «magic», including psychological, neurosomatic, and psychophysical ones. An attempt to find possible roots for psychophysical magic in quantum mechanics was launched. Alas, two phenomena from QM: direct consciousness impact on matter and non-locality principle as possible foundations for telekinesis, telepathy or clairvoyance were found having no support.

Keywords: philosophy, noosphere, esoteric, intangible world, mystic theories, magic, egregors, consciousness, mind-matter interaction, quantum mechanics, non-locality

ACM Classification Keywords: I.2.0 General: Cognitive simulation, Philosophical foundations, I.2.m Artificial intelligence: Miscellaneous, I.6.0 General, I.6.1 Simulation Theory, I.6.5 Model Development: Modeling methodologies, H.0 General, H.1.0 General, H.1.1 Systems and Information Theory: Information theory

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CONSCIOUSNESS: MAGIC, PSYCHOLOGY AND PHYSICS

Vitaliy Lozovskiy

http://www.foibg.com/ibs_isc/ibs-12/ibs-12-p13.pdf

Abstract: The following article deals with customer personality in the CRM systems. Its innovatory approach consists in the method of segmentation performed according to one of psychological factors - personality. The analysis is based on the assumption that the class of customers can be divided into separate types. This is possible due to the preservation of a large internal homogeneity within every type (homogeneous groups) and a considerable differentiation among types. The article argues that the classification of customers should be based on the criterion which has an essential influence on their behavior. Such a criterion is the customer personality. Accordingly, this division can make up a good basis for the CRM strategy: 1) the elaboration of several diverse scripts of the customers service suitably to distinguished groups; 2) the individualization of the service. It can be concluded that such a modeling will allow to supplement the CRM programmes with a module of an individual and institutional customers practical service.

Keywords: CRM, customer’s personality, information model.

ACM Classification Keywords: K.6 Management of Computing and Information Systems - K.6.0 General Economics

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INFORMATION MODELS OF CUSTOMERS IN CRM AND E-CRM SYSTEMS

Justyna Stasieńko

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p25.pdf

Abstract: Methods for calculation of quality indexes for automatic control systems are presented. For the optimization of quality indexes defined only in a stability domain a vector objective function of varied parameters of the system is proposed. The stepwise principle of successive satisfaction of constraints for the passage into the definition domain of quality indexes is considered, as well as a rational mechanism of its realization in the form of the priority optimization of the vector objective function. For the optimization of the vector objective functions genetic algorithms as vector optimization methods are presented. Their application allows one to steer the optimization process from any initial point of the space of varied parameters into the stability domain of the system and to find the optimum of the quality indexes in this domain. The efficiency of the proposed application of vector genetic algorithms for the quality indexes optimization is confirmed by computational experiments.

Keywords: genetic algorithms, vector optimization methods, automatic control systems, quality indexes.

ACM Classification Keywords: G.1.6 Optimization - Nonlinear programming

Link:

APPLICATION OF GENETIC ALGORITHMS TO VECTOR OPTIMIZATION OF THE AUTOMATIC CONTROL SYSTEMS

Valery Severin

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p13.pdf

Abstract: In this paper a concept of designing and building intelligent decision support systems in production management is introduced. The new approach to the design of intelligent management systems is proposed based on integration of artificial intelligence technologies (fuzzy logic, artificial neural networks, expert systems and genetic algorithms) with exact methods and models of decisions search and simulation techniques. The proposed approach allows for creating intelligent decision support systems of complex, unstructured management problems in fuzzy conditions. The systems learn based on accumulated data and adapt to changes in operation conditions.

Keywords: artificial neural networks, fuzzy inference systems, classification, decision support system, intelligent manufacturing systems

ACM Classification Keywords: I. Computing Methodologies, I.2 Artificial Intelligence, J. Computer Applications J.6 Computer-Aided? Engineering

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DESIGN CONCEPT OF INTELLIGENT MANAGEMENT SYSTEMS

Galina Setlak, Sławomir Pieczonka

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p20.pdf

Abstract: The flexibility, customization and localization offered by computer integrated manufacturings are attractive but generate a new class of management problems. Intelligent support systems are needed for the managing: planning, implementation, configuring and operating of intelligence manufacturing systems. This paper presents a project of intelligent system for assembly process planning. The paper includes a coincidence description of the chosen aspects of implementation of this intelligent system using technologies of artificial intelligence (neural networks, fuzzy logic, expert systems, neuro-fuzzy systems).

Keywords: Artificial intelligence, flexible assembly systems, neural networks, fuzzy logic, group technology formatting rules.

ACM Classification Keywords: I. Computing Methodologies, I.2 Artificial Intelligence, J. Computer Applications, J.6.Computer Aided Engineering

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INTELLIGENT SYSTEM FOR ASSEMBLY PROCESS PLANNING

Galina Setlak, Tomasz Kożak, Monika Piróg-Mazur?, Wioletta Szajnar

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p21.pdf

Abstract: In this paper a concept of designing and building intelligent system in diabetes diagnostic is introduced. The way of the expert, classifying the input data system (symptoms) for four types of diabetes (classes) has been shown in that article.

ACM Classification Keywords: I. Computing Methodologies, I.2 Artificial Intelligence, 1.2.5.Expert system tools and techniqes

Keywords: artificial intelligence, expert systems, hybrid systems, neural, networks, diabetes mellitus.

Link:

ARTIFICIAL INTELLIGENCE APPROACH TO DIABETES DIAGNOSTICS

Galina Setlak, Mariusz Dąbrowski, Wioletta Szajnar, Monika Piróg-Mazur?, Tomasz Kożak

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p28.pdf

Abstract: This work presents the using of the chosen neural networks for the data classification. The Statistic Neural Networks has been used for the rating. The neural networks have been successfully applied for building one decision support systems for solving managerial problem.

Keywords: artificial intelligence, neural networks, classification, decision support

ACM Classification Keywords: I. Computing Methodologies, I.2 Artificial Intelligence

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A NEURAL NETWORKS APPLICATION IN DECISION SUPPORT SYSTEM

Galina Setlak, Wioletta Szajnar, Leszek Kobyliński

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p08.pdf

Abstract: Companies applying information, communication technologies and computer simulation modeling tools are paying more and more attention to the ability to adaptive and hybrid architectures when building and developing information infrastructure. This paper studies an approach to forming an external information infrastructure for a company with a developed clientele by joining opportunities of CRM (Customer Relationship Management Systems) technologies and intelligent agents. Companies can succeed in carrying out their development strategies by following modern trends, adding intellectual information tools to CRM systems and creating an adaptive hybrid for external infrastructure based on the multi-agent approach.

Keywords: Modeling, Multi-Agent? systems, Management, Customer Relationship Management systems.

ACM Classification Keywords: K. Computing Milieux - K.6 Management of Computing and Information Systems – K.6.4 System Management – Centralization/Decentralization

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THE ROLE OF MULTI-AGENT APPROACH IN BUILDING INFORMATION INFRASTRUCTURE FOR A MODERN COMPANY AND CARRYING OUT MANAGEMENT TASKS

Elena Serova

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p18.pdf

Abstract: The article presents proposition of the assist pilot system. The system helps pilot with correct decision of cross country flights. Presentation of specially calculated information stored by the system delivered to pilot could help him with his decision about correct directions of crossing.

Keywords: Knowlage base, Data mining

ACM Classification Keywords: E. Data, E.5 Files, E.5.6. Sorting/searching

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THERMALS MAP – ASSIST FLIGHT SYSTEM

Arkadiusz Rzucidło

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p12.pdf

Abstract: Method for structural identification of objects of diagnosis in design of computer systems to support decision-making in medicine at all stages of information transfer is developed. This takes into account not only the structural and functional bases, but also the uncertainty of the model parameters. Keywords: medical diagnostics, computer system, structural identification, the model, decision rule. ACM Classification Keywords: I.5. Pattern recognition and J.3. Llife and medical sciences

Link:

SYNTHESIS OF STRUCTURED MODELS OF COMPUTER SYSTEMS IN MEDICAL DIAGNOSIS

Аnatoliy Povoroznyuk, Nataliya Bilous, Olga Kozina

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p27.pdf

Abstract: ARES System is an application dedicated to data analysis, data exploration and knowledge discovery. This versatile tool offers rough set based methodology as well as emerging patterns and Support Vector Machine algorithms to be applied to input data presented as an information system. Many analytical capabilities provided with an user-friendly, intuitive graphical interface and XML based support for input/output operations make ARES System a challenging and promising software for application in scientific research and didactic work. An unique feature of ARES System is its ability of identifying improper objects within information system by employing credibility coefficients. The credibility coefficients attempt to assess a degree of typicality of each object in respect to the whole information system.

Keywords: information system, classification, rough sets, emerging patterns, SVM, credibility coefficients.

ACM Classification Keywords: H.1.1 Systems and Information Theory

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ARES SYSTEM - INTEGRATION OF ANALYSIS METHODOLOGIES

Roman Podraza, Mariusz Kalinowski

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p06.pdf

Abstract: The article is described architecture and functionality of development support system "OntoIntegrator” for NLP.

Keywords: Natural language processing, ontological models, program tools for NLP

ACM Classification Keywords: H.3.1.Information storage and retrieval: linguistic processing

Link:

THE DEVELOPMENT SUPPORT SYSTEM "ONTOINTEGRATOR" FOR LINGUISTIC APPLICATIONS

Olga Nevzorova, Vladimir Nevzorov

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p11.pdf

Abstract: In this paper the review of applications of data mining is presented. The algorithm of the induction across decision trees that was proposed for classifying large set of data is described in the part 2 of the paper. A short characteristic of the proposed algorithm is included in the part 3. In the part 4 we present characteristics of R-environment and the implementation of the algorithm. The method of conducting the computational experiments and the obtained results are presented in the part 5. The last part of the paper contains conclusions and further perspectives.

Keywords: data mining, classification, critical defects, induction of decision trees formatting rules

ACM Classification Keywords: I. Computing Methodologies, I.2 Artificial Intelligence, J. Computer Applications J.6 Computer-aided engineering, ‘ Link:

THE APPLICATION OF DATA MINING METHODS TO THE CLASSIFICATION OF FINISHED PRODUCTS

Monika Piróg-Mazur?, Galina Setlak, Wioletta Szajnar, Tomasz Kożak

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p07.pdf

Abstract: Theory of Infos is a part of the General Information Theory. Main features of the Theory of Infos are outlined in the paper. Further investigation is discussed.

Keywords: General Information Theory, Theory of Infos.

ACM Classification Keywords: A.1 Introductory and survey

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THEORY OF INFOS

Krassimir Markov, Krassimira Ivanova, Ilia Mitov

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p01.pdf

Abstract: Identification and prediction problem of nonlinear time-series generated by discrete dynamic system is considered via Kernel Method approach. A unified approach to recurrent kernel identification algorithms design is proposed. In such a way a recurrent modification of initial Kernel Method with growing windows is considered. In order to prevent the model complexity increasing under on-line identification, the reduced order model kernel method is proposed and proper recurrent identification algorithms are designed along with conventional regularization technique. Such an approach leads to a new type of Recursive Least-Square? Kernel Method identification algorithms. Finally, the recurrent version of Sliding Window Kernel Method is also developed along with suitable identification algorithms. The proposed algorithm has tracking properties and may be successfully used for on-line identification of nonlinear non-stationary time-series.

Keywords: identification, kernel methods, machine learning, nonlinear model, prediction, recurrent least-squares, support vector machine, time-series

ACM Classification Keywords: G. Mathematics of Computing: G.1 Numerical Analysis: Least squares approximation, nonlinear approximation, G.3 Probability and Statistics: Time series analysis

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KERNEL-BASED METHODS FOR NON-STATIONARY TIME-SERIES IDENTIFICATION AND PREDICTION

Leonid Lyubchyk, Vladyslav Kolbasin

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p05.pdf

Abstract: in this paper the implementation of Data Warehouse SAP BW in the Production Company is presented. A data warehouse is designed for efficient query processing. The technical environment and data structures are optimized for answering business questions. Data warehouse is stored persistently by time over a particular time period. Users can use comprehensive analysis tools to access data. We will try to answer the question how to implement the SAP Business Warehouse in a company

Keywords: information system, data warehouse, business intelligence, data mining

ACM Classification Keywords: H. information system

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IMPLEMENTATION OF DATA WAREHOUSE SAP BW IN THE PRODUCTION COMPANY

Maria Kowal, Galina Setlak

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p24.pdf

Abstract: The authors have undertaken a research task with a view to apply of evolutionary algorithms and artificial neural network to design of the course of a gas nitriding process, which guarantees to obtain the expected hardness profile in the nitrided layer. The gas nitriding process is widely used in industry in order to improve the functional properties of machine and tool parts. First of all, the artificial neural network was trained dependences between physical properties of steel and process parameters in relation to hardness profile, formed in gas nitriding process. Those data was collected experimentally. Such trained neural network was used as a mathematical model for the design approach of gas nitriding process. The aim of such designing was to predict the parameters of nitrinding industrial process, in which the required hardness profile of nitriding layer will be obtained. Prediction of manufactory conditions was realized with the help of evolutionary algorithms. In the approach developed, each chromosome includes encoded parameters of a single steel nitriding process. For each chromosome, a steel hardness profile related to it is determined by the model which is represented by neural network. On the further step, the chromosomes undergo a selection, a modification with the aid of crossing mutation operations and promotion to the next population. In this manner, by approach of a directed evolution of steel nitriding parameters, one is selected for which the hardness profile matches the best to profile sought.

Keywords: evolutionary algorithm, neural network, designing of nitriding process, nitriding layer, hardness profile, model, manufactory conditions prediction.

ACM Classification Keywords: D.2.2 Design Tools and Techniques - Evolutionary prototyping

Link:

THE APPLICATION OF ARTIFICIAL NEURAL NETWORKS AND EVOLUTIONARY ALGORITHM FOR THE DESIGNING OF GAS NITRIDING PROCESS

Mateusz Kosikowski, Zbigniew Suszyński, Roman Olik, Jerzy Ratajski, Tomasz Suszko

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p04.pdf

Abstract: In this paper we study the problem of multi-item capacitated lot-sizing from the point of commercial enterprises. We consider profit as the main criteria. This dynamic problem belongs to the class of discrete optimization and contains boolean variables, algorithmic objective function, where various types of constraints such as analytical functions, algorithmic and simulation models can be used. We present model and direct search algorithm that consists of an intelligent iterative search and upper bound set construction, and allows finding exact solution in reasonable time. We carry out computational investigation and solve a real task with using developed computational tool to show the efficiency and practical application of the proposed model and algorithm.

Keywords: direct search; discrete optimization; upper bound; production planning; multi-item capacitated lotsizing; profit maximization

ACM Classification Keywords: G.1.6 Optimization; J.0 Computer Applications

Link:

APPLICATION OF DISCRETE OPTIMIZATION IN SOLVING A PROBLEM OF MULTI-ITEM CAPACITATED LOT-SIZING WITH ECONOMIC OBJECTIVES

Igor Kononenko, Igor Protasov

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p23.pdf

Abstract: It is known, that person’s thinking is inaccessible to studying by direct physical and psychological methods. In this case it is necessary to have indirect ones. Computers do not understand the psychological description and formalization of thinking mechanisms. Algebra logic analysis of natural language and person’s thinking plays an important role for development of logic mathematics and its applications in artificial intelligence. Only axiomatic method works in this situation. On the basis of axioms’ system we can propose an approach that helps to investigate the structure and properties of objects. The main problem of formal studying of a natural language is shortage of the mathematical apparatus. The axiomatic description of logic mathematics' objects requires preliminary realization of constructive logical tools, which subsequently become a subject of the axiomatic analysis. The paper is devoted the algebra of ideas to axiomatic construction. The carrier of this algebra is naturally interpreted as the set of intelligence ideas (thoughts, concepts and, in general, any subjective conditions of the person). There are devised some methods for application of proposed formal apparatus. Simultaneously with algebra of ideas formal introducing there is considered its intentional interpretation.

Keywords: a predicate, algebra of ideas, artificial intelligence, Cartesian set, algebra of predicates, algebra of single k-dimentional first order predicates.

ACM Classification Keywords: I.2 Artificial intelligence - Natural Language Processing

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ALGEBRA LOGIC APPROACH TO PERSON’S THINKING MECHANISMS FORMALIZATION

Olga Kalinichenko

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p10.pdf

Abstract: The main goal of the paper is to convince that agent orientation may be considered as a powerful paradigm for organization modeling and the reference architecture for Management Information Systems, that if properly applied, would lead to firm’s overall performance improvement. The scenario of proving these theses consists of three steps. Firstly the basic concepts of agency have been defined. Then the agent and multi-agent system are presented as playing the roles of very natural and intuitive modeling constructs and complexity management tools. Finally the benefits of agent oriented software application are described from the perspective of gaining competitive advantage by improving intra- and interorganizational efficiency due to basic characteristics of agents such as constant monitoring of the environment (where they are situated), reactivity, proactiveness and social ability.

Keywords: Software Agent, Intelligent Agent, Agent Oriented Approach, Organization Modeling, Multi-agent System, Complexity Management, Business Performance Improvement, Supply Chain, Demand Chain, Management Information Management System

ACM Classification Keywords: I. Computing Methodologies; I.2 Artificial IOntelligence I.2.11 Distributed Artificial Intelligence; Multiagent systems

Link:

AGENT ORIENTATION AS A TOOLBOX FOR ORGANIZATIONAL MODELING AND PERFORMANCE IMPROVEMENT

Jacek Jakieła, Bartosz Pomianek

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p16.pdf

Abstract: The paper is devoted to the development of a perspective concept of atomic station power block intelligent automatic control systems synthesis on the basis of mathematical models and numeric methods of vector optimization of systems quality indexes using genetic algorithms. The methods for calculation of direct quality indexes and improved integral quadratic estimates have been created. The step-by-step principle of transition to the domain of system stability has been based. There have also been suggested vector objective functions including stability conditions and taking into consideration quality indexes priorities. The reliable genetic algorithms for vector objective functions optimization have been suggested. Mathematical models in the state space for intelligent automatic control systems of nuclear reactor and steam generator have been worked out. The quality indexes optimization of power block intelligent control systems has been carried out, which allowed to estimate various controller types efficiency.

Keywords: automatic systems, intelligent control, optimal synthesis, nuclear reactor, steam generator, genetic algorithms.

ACM Classification Keywords: G.1.6 Optimization - Nonlinear programming

Link:

OPTIMAL SYNTHESIS OF INTELLIGENT CONTROL SYSTEMS OF ATOMIC POWER STATION USING GENETIC ALGORITHMS

Seyed Mojtaba Jafari Henjani, Valery Severin

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p14.pdf

Abstract: The existing method of stylus tip radius prediction was analysed. Computer generated and measured stochastic surfaces were the objects of the investigations. The effects of various sources of errors on tip radius prediction accuracy were analysed. On-line skid existence doesn’t affect this accuracy, but quantisation errors caused some problems. The application of low-pass digital filtering in order to eliminate high-frequency noise was analysed.

Keywords: surface topography; roughness; stylus measurement; tip radius

ACM Classification Keywords: J.2 Physical Sciences And Engineering; G.1.2 Approximation; G.1.3 Numerical Linear Algebra;

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PREDICTION OF STYLUS TIP RADIUS

Sławomir Górka, Paweł Pawlus

http://www.foibg.com/ibs_isc/ibs-13/ibs-13-p31.pdf