Abstract: Methods and standards to determine Ppq parameter for profiles with periodical-random character, which are of functional importance, have not been developed yet. This article proposes a method to solve this problem. Furthermore, an equation describing this kind of profiles, and method of constructing software which uses this equation for calculating roughness parameter were described.

Keywords: algorithms, multi-process surfaces, roughness parameters.

ACM Classification Keywords: Algorithms, Measurement.

Link:

THE AUTOMATION OF PARAMETER PPQ IDENTIFICATION PROCESS FOR PROFILES WITH FUNCTIONAL PROPERTIES

Wiesław Graboń

http://foibg.com/ibs_isc/ibs-20/ibs-20-p25.pdf

Abstract: Failure prediction has its origins at the turn of the 15th and 16th centuries. Trade companies tried to calculate what was the risk with shipping goods over the sea. Modern failure predictions start in 70’s of 20th century. Naturally software prediction has its origins in failure prediction of electronic equipments. Nomenclature and definitions are very often similar to those used in electronics. Since 70’s scientists have been trying to find perfect model to simulate failures in software.

Keywords: system availability , failure, prediction, reliability, risk management

ACM Classification Keywords: G. Mathematics of Computing, G.3 PROBABILITY AND STATISTICS, G.3 PROBABILITY AND STATISTICS, Reliability and life testing

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FAILURE PREDICTION IN COMPLEX COMPUTER SYSTEMS

Paweł Janczarek

http://foibg.com/ibs_isc/ibs-20/ibs-20-p24.pdf

Abstract: The article presents a method of identification and separation of visual objects that partially overlay each other. We also had investigated this method for example cell conglomerates division.

Keywords: decision support systems, pattern recognition.

ACM Classification Keywords: I.2.1 ARTIFICIAL INTELLIGENCE-Applications and Expert Systems

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METHOD OF CONGLOMERATES RECOGNITION AND THEIR SEPARATION INTO THE PARTS

Volodymyr Hrytsyk, Viktor Vlakh

http://foibg.com/ibs_isc/ibs-20/ibs-20-p23.pdf

Abstract: In the article it has been presented the Robust Gaussian regression filtering techniques. Several typical robust weight functions have been adopted and compared with each other. Next the surface profile analysis software was shown which enables for the analysis of actual and simulated surface roughness profile. The application enables to choose the filter parameters that will be determined and gives the result of filtering in the form of a graph, and values of parameters.

Keywords: surface profile analysis, filtering techniques, Visual C++

ACM Classification Keywords: J. Computer Applications, J.2 Physical Sciences And Engineering, G. Mathematics Of Computing, G.4 Mathematical Software

Link:

SURFACE PROFILE ANALYSIS PACKAGE

Paweł Dobrzański, Magdalena Dobrzańska, Wiesław Żelasko

http://foibg.com/ibs_isc/ibs-20/ibs-20-p22.pdf

Abstract: The paper presents an approach to designing an intelligent system to be used in diabetes diagnostics as well as to creating a problem knowledge base for the system. The work also gives a description of constructing a decision tree for diabetes diagnostics and shows how to use it as a basis for generating knowledge base rules. Finally, the article also outlines how an intelligent diagnostic system works.

Keywords: neural networks, artificial intelligence, expert systems, hybrid systems, decision tree diabetes diagnostics.

Link:

A CONCEPT OF DESIGN PROCESS OF INTELLIGENT SYSTEM SUPPORTING DIABETES DIAGNOSTICS

Wioletta Szajnar, Galina Setlak

http://foibg.com/ibs_isc/ibs-20/ibs-20-p21.pdf

Abstract: A part of collection of new algorithms for synthesis of melanocytic skin lesion images is briefly described. Presented approach in the developed algorithms based on a semantic conversion of textual description of melanocytic skin lesions into hybrid (vector-raster type) digital respective images of such lesions. It is assumed, that the developed methodology could be successfully used in education of dermatology students.

Keywords: TDS, melanocytic skin lesion, image synthesis.

ACM Classification Keywords: I.3.3 Computing Methodologies – Computer Graphics – Picture/Image Generation

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SYNTHESIS OF STATIC MEDICAL IMAGES WITH USING MACHINE LEARNING METHODS

Łukasz Piątek, Grzegorz Owsiany

http://foibg.com/ibs_isc/ibs-20/ibs-20-p20.pdf

Abstract: A problem of incompatible and contradictory of results of making decisions in industrial organizationand- technical complexes (OTC) is outlined. A system-and-goal approach and a semiotic approach to make system of decisions satisfying requirements of logical correctness and completeness are concretized. A concept model of knowledge-based dialog system of analysis and synthesis of goals (DS ASG) to make system of goals is considered. Using the DS ASG decision-makers work out not only the system of goals but corresponding plan of goal-achieving satisfying requirements of logical correctness and completeness and in this way solve the problem of incompatible and contradictory of results of making decisions in OTC.

Keywords: organization system, goal setting and achieving, goal analysis and synthesis,

ACM Classification Keywords: Management, Systems analysis

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ANALYSIS AND SYNTHESIS OF GOALS OF COMPLEX INDUSTRIAL SYSTEMS

Lyudmila Lukyanova

http://foibg.com/ibs_isc/ibs-20/ibs-20-p19.pdf

Abstract: Usage of modeling for construction of laser installations today is actual in connection with automation of manufacture. The automated designing is used at forecasting behavior of modeled objects That is why at the certain stage of development CAD there was a necessity of creation of standardized language of the description of the equipment, one of which is VHDL. It allows to describe the behavior of digital circuits, as well as to perform and also to spend the hierarchical functional-structural description of the big integrated systems and at the same time has all signs of the programming language of high level – allows to create the types of the data, has a wide set of arithmetic and logic operations. The paper suggests synthesis of a VHDL – model of a gas laser gasdischarge circuit efficiently distributing RTL- circuits to create a new list of connections with a minimum number of components. Models of GDC lasers consist of three subtasks: a logic conclusion, optimization received RTL structures and its distribution on structural elements technology mapping

Keywords: model of a gas laser, gas-discharge circuit, VHDL – model, gas discharge circuit

ACM Classification Keywords: C.4 Performance of systems - Modeling techniques

Link:

VHDL-MODELING OF A GAS LASER’S GAS DISCHARGE CIRCUIT

Nataliya Golian, Vera Golian, Olga Kalynychenko

http://foibg.com/ibs_isc/ibs-20/ibs-20-p16.pdf

Abstract: Improving management systems is getting more and more important and topical, as the organizational structure of modern society consists of many features, peculiarities, relations, and is continuously getting more intricate. Although the society has been complex for a long time, it is only now that we are starting to comprehend its real complexity. It has become obvious that changing a characteristic can easily cause or require change to other parts of the system. Attempting to achieve an enterprise’s highest efficiency, each modern executive should use computer modeling from time to time, as it is an efficient tool for management system research that weighs qualitatively and quantitatively characteristics of system functioning. A prerequisite of modern management is to know the principles and capabilities of modeling, be able to create research and use such models. This report considers the role of business modeling for modern management tasks. Generalizing theory development in the area along with international practices and domestic experience, the author chooses the main directions of modeling for modern management and those fields of management where applying computer modeling is more efficient.. This paper weighs perspectives of modeling used to solve business problems; considers modern modeling approaches used to describe architecture, develop operational models and carry out reengineering; briefs on existing techniques and instrumental tools used in modern business modeling.

Keywords: business process, business modeling, business process modeling techniques, simulation modeling, structure-function approach, discontinuous event-driven approach, agent modeling, modeling tools.

ACM Classification Keywords: I.6.5 Model development – Modeling methodology

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COMPUTER MODELING FOR MODERN BUSINESS

Elena Serova

http://foibg.com/ibs_isc/ibs-20/ibs-20-p18.pdf

Abstract. Nowadays, we are bombarded with information which has an immense influence on our decisions. It is more and more difficult to use it effectively. BI systems are very helpful. They support enterprises while carrying analyses and conducting researches. They make it possible to reach unambiguous decisions in the right time, they minimize the costs and they also provide the opportunity to verify and correlate the decisions with the entire enterprise’s strategy. BI Systems help to integrate and analyze the data coming from different sources and as a result they render it easier to reach decisions. This article presenting above issues aims at showing engines which have a positive influence on the management of information in different organizations.

Keywords: information, Business Intelligence, Management Information Systems, decision support

ACM Classification Keywords: K.6 MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS - K.6.0 General Economics

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BUSINESS INTELLIGENCE AS A DECISION SUPPORT SYSTEM

Justyna Stasieńko

http://foibg.com/ibs_isc/ibs-20/ibs-20-p17.pdf

Abstract: A current computing performance of PC technique and software support allows to virtual model and test of an entire production process, saving considerable financial and human resources that would by necessary to design and test of this entire system. The paper deals with a problem of assembly technology and how to make it more effective and simpler through the visualization of assembly procedures from the CAD system with an animation software up to design by using a special tool of virtual reality. The use of virtualization assembly tools provides more effective, simpler and faster understanding of the entire assembly process.

Keywords: formatting rules

ACM Classification Keywords: J. Computer application - Manufacturing

Link:

VISUALIZATION OPTIONS OF ASSEMBLY PROCEDURE

Jana Jedináková, Marek Kočiško, Slavomír Gajdarik

http://foibg.com/ibs_isc/ibs-20/ibs-20-p15.pdf

Abstract: The purpose of this paper is to present the fundamental algorithms and procedures by which processes of clustering and classification of elements, assembly units and parts of installed product devices are carried out in the system of computer-aided design of modular technology of assembly. There will also be presented a basic tool that has been used for classification of structural modules - the selforganizing Kohonen network.

Keywords: Artificial intelligence, group technology formatting rules, fuzzy logic, classification method.

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

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APPLICATION OF ARTIFICIAL INTELLIGENCE TOOLS TO THE CLASSIFICATION OF STRUCTURAL MODULES

Galina Setlak, Tomasz Kożak

http://foibg.com/ibs_isc/ibs-20/ibs-20-p14.pdf

Abstract: A distinguish principle for Virtual Laboratories for Computer Aided Design of Smart Sensor Systems (VLCAD-SSS) is proposed. This is the “intelligence” of the VLCAD-SSS. This principle is based on the investigation in the area of the General Information Theory (GIT) and especially of the Theory of Infos, which is a part of GIT. The understanding the VLCAD-SSS as intelligent system gives possibility to develop appropriate functions and models.

Keywords: Virtual Laboratories for Computer Aided Design; Smart Sensor Systems; Intelligence; Intelligent Systems.

ACM Classification Keywords: J.6 Computer-Aided? Engineering –Computer-Aided Design (CAD); F.1.1 Models of Computation - Self-modifying machines

Link:

THE INTELLIGENT PRINCIPLE OF VIRTUAL LABORATORIES FOR COMPUTER AIDED DESIGN OF SMART SENSOR SYSTEMS

Iliya Mitov, Anatolij Krissilov, Oleksandr Palagin, Peter Stanchev, Vitalii Velychko, Volodymyr Romanov, Igor Galelyuka, Krassimira Ivanova, Krassimir Markov

http://foibg.com/ibs_isc/ibs-20/ibs-20-p13.pdf

Abstract: The work presented in this study is concerned on a subject of simulation and implementation of teleoperation and semiautonomy modes for IBIS mobile robot. The construction of the robot as well as used sensors have been described. The unique algorithm for semiautonomy mode has been elaborated and depicted here. Software simulation environment based on Matlab/Simulink package with Simulink 3D Animation toolbox and research activity has been presented as well as practical experimental results of proposed method for real, outdoor conditions of IBIS operation.

Keywords: mobile robot, navigation, teleoperation, semiautonomy, computer simulation, experimental research.

ACM Classification Keywords: I.2.9 Robotics - Autonomous vehicles, Operator interfaces, Sensors.

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TELEOPERATION AND SEMIAUTONOMY MOVEMENT MODES OF IBIS ROBOT

Piotr Bigaj, Maciej T. Trojnacki, Jakub Bartoszek

http://foibg.com/ibs_isc/ibs-20/ibs-20-p12.pdf

Abstract: This article describes a concept of presentation of knowledge and information in a manufacturing company. The main idea of application mechanism construction is technique of graphic presentation and visualization, which is system’s key feature. Technological descriptions and interactive data base play here complementary role.

Keywords: Knowledge base, Data mining,

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

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PRESENTATION OF PRODUCTION ORIENTED DATA AND KNOWLEDGE

Arkadiusz Rzucidło

http://foibg.com/ibs_isc/ibs-20/ibs-20-p11.pdf

Abstract: The article is devoted to the problem of improving the educational process of teaching "Information Systems in Economics" and "Information Management" courses. One path of solving the problem is to create the interdisciplinary links between courses. The algorithm of creation these links is presented.

Keywords: information system, information management, educational process, course, link,

ACM Classification Keywords: Economics, Management

Link:

REALIZATION OF INTERDISCIPLINARY LINKS BETWEEN DISCIPLINES CONNECTED TO INFORMATION TECHNOLOGIES

Marina Solovey

http://foibg.com/ibs_isc/ibs-20/ibs-20-p10.pdf

Abstract: This article is devoted to chosen aspects of designing experiments in the innovative economy. The contemporary theory of experiment has become a vast field of knowledge. Its methods and applied mathematical devices often surpass the capabilities of researcher’s perception, who does not wish to waste time comprehending them. Computer systems that aid to the experiment are a solution to this problem. STATISTICA that contains the used in this article module named Design of experiments finds place among those computer programs.

Keywords: planning experience, knowledge-based economy,

ACM Classification Keywords: K. Computing Milieux, K.1 THE Computer Industry, Statistics, J.7 Computers In Other Systems, Industrial control

Link:

COMPUTER-AIDED DESIGN OF EXPERIMENTS IN THE FIELD OF KNOWLEDGEBASED ECONOMY

Dorota Dejniak, Monika Piróg-Mazur?

http://foibg.com/ibs_isc/ibs-20/ibs-20-p09.pdf

Abstract: New organizational and algorithmic instruments in the area of municipal (and regional) management are described. There is a brief overview of such tools as effective methods of quantitative decision support and the territorial cluster creation. Also some ideas are presented on how the information exchange between territorial clusters’ participants might look like.

Keywords: goals of city development, decision grounding, dependent features, territorial cluster.

ACM Classification Keywords: H.1 Models and Principles – H.1.1 – Systems and Information Theory – General Systems Theory, I.1.4 Development Simulation.

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ADVANCED DECISION MAKING FUNCTIONS AND SOME METHODS OF INFORMATION PROCESSING FOR SOCIO ECONOMIC CLUSTERS

Anatolij Krissilov, Viacheslav Chumachenko

http://foibg.com/ibs_isc/ibs-20/ibs-20-p08.pdf

Abstract: The main aim of knowledge management is the knowledge of substantial developments relationships, adaptation, learning facilitation, development and innovation support. Knowledge management is concerned with innovation, peer relationships, ideas, competencies, structures. Knowledge management promotes and enhances the dissemination of experience and choice of optimal solutions. Most knowledge management processes in one way or another are concerned with information management major elements: information technology and information systems. Fundamentals of knowledge management could be used for organisation of telework of disabled persons, solving economical problems of state. Knowledge management could help to increase productiveness of employees, expanding sources of reachable for them knowledge. During the examination of the disabled telework opportunities in Lithuania, T. Bilevičienė found that the current disability vocational rehabilitation and employment system does not provide people with disabilities by telework. However, research has shown that this system can be modernized and adapted the disabled telework model, the experts mentioned changes. These changes show that the necessary human resources management and knowledge management models are for synthetic application. In their article authors examine knowledge management models and its structure of vocational rehabilitation opportunities for persons with disabilities, organization of telework.

Keywords: knowledge society, knowledge management model, disabled persons, telework.

ACM Classification Keywords: K.4.2. Social issues - Employment

Link:

SELECTION OF KNOWLEDGE MANAGEMENT MODELS AND USE OF THE INTRODUCTION OF TELE WORKING MODEL OF DISABLED

Tatjana Bilevičienė, Eglė Bilevičiūtė

http://foibg.com/ibs_isc/ibs-20/ibs-20-p07.pdf

Abstract: The paper presents the concept of managing the production and maintenance of software in a medium-sized and large business, whose main aims are: modeling, designing and analyzing production processes, and monitoring resources and performed works. The process of making changes to software was used as an example to present the System of Software Production Management (SSPM), which due to its capabilities to define processes and resources of a business as well as forms with automatic generation of a database schema can be used both as a tool aiding management at all manufacturing stages, with the use of various methodologies for creating software, and an integrated environment for building and running applications.

Keywords: information system, application development, Petri nets

ACM Classification Keywords: J. Computer Applications, J.6 Computer-aided engineering, K.6 Management of Computing and Information Systems

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SYSTEM OF SOFTWARE PRODUCTION MANAGEMENT

Galina Setlak, Sławomir Pieczonka

http://foibg.com/ibs_isc/ibs-20/ibs-20-p06.pdf

Abstract: Software development process modeling is gaining increasing interest among academic researchers and IT-industry practitioners alike as an approach for analyzing complex business questions of software production from the strategic management of software development, to supporting process improvements. A number of simulation models of software dynamics have been developed based on system dynamic approach with the use of special simulation programming tools. At the same time analytical software development modeling are of great interest as a tool of process optimization and control. In this paper the software development processes model based on the state machine and queuing network approach is proposed. The goal is the software development process dynamics modeling t hat is the evaluation of software product readiness progress in the course of time. Software product is considered as a set of system requirements, and software development process is represented as consecutive transition of each system requirement through the states of the defined state machine. The state machine model is a queuing network with service nodes which correspond to a number of implementers of system requirements on each stage of the development. Implementers are business analytics, architectures, developers, testers, etc. In general, the state machine is defined according to the used software development methodology. The markovian processes theory is further used for the queuing network modeling and quality indexes estimation. The proposed model can be used as a basis for modeling the dynamics of a software project development to get estimations of the following project parameters: effort, duration, cost, resources usage, development schedule, etc.

Keywords: software development process dynamics, software engineering, production modeling, state machine, project management

ACM Classification Keywords: D. Software – D.2 SOFTWARE ENGINEERING – D.2.8 Metrics (Process metrics, Product metrics), D.2.9 Management (Cost estimation, Life cycle, Productivity, Software process models, Time estimation); K. Computing Milieux – K.6 MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS – K.6.1 Project and People Management (Life cycle, Staffing), K.6.3 Software Management (Software process), K.6.4 System Management (Management audit)

Link:

SOFTWARE DEVELOPMENT PROCESS DYNAMICS MODELING AS STATE MACHINE

Leonid Lyubchyk, Vasyl Soloshchuk

http://foibg.com/ibs_isc/ibs-20/ibs-20-p05.pdf

Abstract: The main aim of the research which partial results are presented in this paper is to develop full-blown reference model for creating simulation experiments supporting management of Extended Enterprises. Such framework can be used by modeler who would like to ask questions related to modeled business architecture in the context of managing part of the enterprise (e.g. supply chain) or the whole structure of Extended Enterprise. These questions may be answered with the use of computational analysis conducted with simulation model prepared according to proposed framework and simulation experiment process. The analysis may consider existing organization or the structure that is virtually designed and will be implemented after all characteristics are tuned. In order to facilitate the modeling process and reduce semantic gap between business architecture and model developed, agent orientation has been adopted as a modeling paradigm. Finally, the case study showing how the reference model may be used for analyzing the bullwhip effect in supply chain has been elaborated, and simulation experiment’s results visualized and interpreted.

Keywords: Agent Based Modeling and Simulation, Extended Enterprise Modeling, Supply Chain Management, Agent-Oriented? Computing.

ACM Classification Keywords: I. Computing Methodologies; I.2 ARTIFICIAL INTELLIGENCE; I.2.11 Distributed Artificial Intelligence; Multi-Agent? Systems

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TOWARD THE REFERENCE MODEL FOR AGENT-BASED SIMULATION OF EXTENDED ENTERPRISES

Jakieła Jacek, Litwin Paweł, Olech Marcin

http://foibg.com/ibs_isc/ibs-20/ibs-20-p04.pdf

Abstract: The article presents a concept of advisory system supporting decision-making processes in a manufacturing enterprise operating in the glass industry. The purpose of the system is to support operators and production line managers in recognising defects of finished products (bottles) and to propose methods of eliminating these defects. Basic purposes and assumptions regarding the development of this system as well as a description of its operation have been presented. The knowledge has been recorded in a knowledge base and is represented by rules and facts. The structure of the knowledge base and the reasoning process have been presented.

Keywords: decision support systems, knowledge base, knowledge representation, reasoning process.

ACM Classification Keywords: I. Computing Methodologies, I.2.1 Applications and Expert Systems, J. Computer Applications

Link:

CONCEPTUAL MODEL OF DECISION SUPPORT SYSTEM IN A MANUFACTURING ENTERPRISE

Monika Piróg-Mazur?, Galina Setlak

http://foibg.com/ibs_isc/ibs-20/ibs-20-p03.pdf

Abstract: Computational intelligence paradigm covers several approaches for technical problems solving in an intelligence manner, such as artificial neural networks, fuzzy logic systems, evolutionary computation, etc. Each approach provides engineers and researchers with the smart and powerful tools to handle various real-life concerns. Even more powerful tools were designed at the joint of different computational intelligence approaches. Neuro-fuzzy systems, for example, are well-known and advanced intelligent tool that combines capabilities of neural networks and fuzzy systems together in a synergetic way. Among them, one of the prominent hybrid systems type is self-learning fuzzy spiking neural networks. They were evolved from fuzzy logic systems and selflearning spiking neural networks, and revealed considerable computational capabilities. There were proposed several architectures of self-learning fuzzy spiking neural networks, each handling a particular kind of data processing tasks (processing fuzzy data, fuzzy probabilistic and possibilistic clustering, batch and adaptive methods, new clusters detection, irregular form clusters detection, etc). In this paper, known architectures of self-learning hybrid systems based on spiking neural network are reviewed, compared, and summarized. A generalized architecture and learning algorithm for self-learning fuzzy spiking neural networks are proposed.

Keywords: computational intelligence, hybrid systems, self-leaning spiking neural network, fuzzy clustering, temporal Hebbian learning, ’Winner-Takes-More’ rule, control theory, inductive modelling, clusters merging, new clusters detection, hierarchical clustering .

ACM Classification Keywords: I.2.6 Artificial Intelligence: Learning – Connectionism and neural nets; I.2.8 Artificial Intelligence: Problem Solving, Control Methods, and Search – Control theory; I.5.1 Pattern Recognition: Models – Fuzzy set, Neural nets; I.5.3 Pattern Recognition: Clustering – Algorithms.

Link:

HYBRID SYSTEMS OF COMPUTATIONAL INTELLIGENCE EVOLVED FROM SELFLEARNING SPIKING NEURAL NETWORK

Yevgeniy Bodyanskiy, Artem Dolotov

http://foibg.com/ibs_isc/ibs-20/ibs-20-p02.pdf

Abstract: The economic and social values of breast cancer diagnosis are very high. This study explores the predictive abilities of Fuzzy ARTMAP neural networks for breast cancer diagnosis. The data used is a combination of 39 mammographic, sonographic, and other descriptors, which is novel for the field. By using feature selection techniques we propose a subset of 21 descriptors that outperform the full feature set and outperforms the prediction model based on the most popular MLP neural networks. We also explored the model performance by ROC analysis and used metrics, such as max accuracy, area under the ROC curve, and area under the convex hull. Due to lack of specificity, many diagnosis tools entail unnecessary surgical biopsies, which motivated us to explore the clinically relevant metrics partial area under the ROC curve where sensitivity is above 90% and specificity at 98% sensitivity. In conclusion we find that the Fuzzy ARTMAP neural network is a promising prediction tool for breast cancer diagnosis. To the best of our knowledge, the Fuzzy ARTMAP neural networks have not been studied in that area until now.

Keywords: data mining, neural networks, Fuzzy ARTMAP, heterogeneous data; breast cancer diagnosis, computer aided diagnosis

ACM Classification Keywords: I.5.1- Computing Methodologies - Pattern Recognition – Models - Neural Nets

Link:

FUZZY ARTMAP NEURAL NETWORKS FOR COMPUTER AIDED DIAGNOSIS

Anatoli Nachev

http://foibg.com/ibs_isc/ibs-20/ibs-20-p01.pdf