Abstract: This paper suggests an approach, which enables automatization of computer business game automaton model construction. The processes of business game design and conduction occur within the Competence-based Business Game Studio source environment. This fact provides the universality of the domain. Separation of information system into operating and automaton models causes control logic to be concentrated within the automaton model. Due to this fact the control object (operating model) is to have unsophisticated behavior: accepting commands from the automaton and then executing stated commands. This paper verifies the need for automaton model, provides analysis of requirements and describes the design of corresponding program module (interactive visual model editor) of the Competence-based Business Game Studio source environment. This module is used to construct and edit business process models interactively during the stage of business game design.

Keywords: competencies, active learning methods, business-game, business-process, control automat, operating automat, business process modeling.

ACM Classification Keywords: K.3 COMPUTERS AND EDUCATION: K.3.2 Computer and Information Science Education – Information systems education. I.2 ARTIFICIAL INTELLIGENCE: I.2.1 Applications and Expert Systems – Games.

Link:

AUTOMATIZATION OF COMPUTER BUSINESS GAME AUTOMATON MODEL CONSTRUCTION

Olga Vikentyeva, Alexander Deryabin, Dmitrij Kozhevnikov, Lidiia Shestakova

http://www.foibg.com/ijitk/ijitk-vol09/ijitk09-04-p03.pdf

Abstract: In the article the methods of estimation of solution’s distribution for a new class of uncertain differential equations which contain a possibilistic process in right part are developed. The example of the use of developed methods is given.

Keywords: fuzzy logic, theory of possibility, fuzzy equation, estimate of distribution.

ACM Classification Keywords: G.1.7 – Ordinary Differential Equations. J.3 Life and Medical Sciences.

Link:

Alexei Bychkov, Eugene Ivanov, Olha Suprun

http://www.foibg.com/ijitk/ijitk-vol09/ijitk09-04-p02.pdf

Abstract: This article presents main differences between Map/Reduce (MRP) and Collect/Report (CRP) paradigms. The most important difference is that in MRP the calculations and data must be all completely independent. In opposite, the CRP assumes that all data are interconnected and may be processed in common, taking in account all interconnections.

Keywords: Map/Reduce Paradigm, Collect/Report Paradigm, Big Data, Cloud computing

ACM Keywords: E.1 Data Structures; Distributed data structures.

Link:

MAIN DIFFERENCES BETWEEN MAP/REDUCE AND COLLECT/REPORT PARADIGMS

Krassimira Ivanova

http://www.foibg.com/ijitk/ijitk-vol09/ijitk09-04-p01.pdf

Abstract: We explore the properties of the pronunciation variation (PV) models as an approach for an automatic speech recognition accuracy improvement. The PV model is formulated as well as the methods to find out PV parameters and include the model into the search procedures. We show that utilizing of the PV models could substantionally increase the accuracy of automatic recognition of natural speech.

Keywords: automatic speech recognition, acoustic modeling, speech pronunciation variation modeling, explicit models, hidden markov models.

ACM Classification Keywords: I.2.7 Natural Language Processing - Speech recognition and synthesis

Link:

IMPROVING AUTOMATIC SPEECH RECOGNITION ACCURACY BY MEANS OF PRONUNCIATION VARIATION MODELING

Vladimir Chuchupal, Anton Korenchikov

http://www.foibg.com/ijicp/vol01/ijicp01-04-p08.pdf

Abstract: The first and most labor-consuming stage of information systems development is an analysis stage. At this stage the set of different formal models describing systems domains, different aspects of the created system functioning is created. The model-centric approach focuses attention on the models at the each stage of the development process. Modelling tools are used by developers and experts in specific domains. These tools must be affordable for different specialists. Created models must be clarity and understandable for all developers and domain experts. This feature is supported with domain-specific modelling tools. Language workbenches include means for domain-specific languages creation. Modelling with DSM platform is more suitable for the domain experts, system and business analysts. Different tasks of the system design and development request specific formalizing means needed for modeling. Different modelling languages and tools are used by analysts. They need to support continuity of development stages, reusability of created models for the solution of different tasks. DSM platforms provide model transformations, translation of models from one modelling language to another. These tasks are important for large projects of complex information systems development. The basis of language toolkits creation is metamodeling. The tools of MetaLanguage? DSM platform, allowing designing domain specific languages and models for different domains, to transform models at systems integration, are described. Examples of metamodels and models, transformation rules are presented.

Keywords: modeling, domain-specific languages, language workbench, metamodeling, model transformations.

ACM Classification Keywords: D.2 Software Engineering: D.2.2 Design Tools and Techniques – Computer– aided software engineering (CASE); D.2.6 Programming Environments – Domain-specific architectures; Languages (e.g., description, interconnection, definition); D.2.13 Reusable Software – Domain engineering; Reuse models.

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BUSINESS PROCESSES MODELLING WITH DSM PLATFORM AT INTEGRATED SYSTEMS DEVELOPMENT

Anna Lubyagina, Lyudmila Lyadova, Alexander Sukhov

http://www.foibg.com/ijicp/vol01/ijicp01-04-p07.pdf

Abstract: A defective component in an industrial automation system affects only a limited number of sub functions. However, the affected sub functions often lead to break down of the whole system. The goal of this paper is to propose an intelligent agents-based concept for a Problem Management System (IAPMS) to enhance the reliability of industrial automation systems by resolving not only the known problems but also the unknown problems. In this paper, six types of component agents represent all the necessary components of an industrial automation system and a coordination agent type orchestrates the coordination between the component agents. The component agents detect the defective component by using the existing diagnosis system. On one hand, the component agents and the coordination agent could solve the known problems by using the pre-set measures. On the other hand, since no measures for an unknown problem exist, the corresponding component agents negotiate with the coordination agent to keep the unaffected sub functions alive; hence the system can be further used.

Keywords: reliability, intelligent component agent, Problem Management System, unknown problems

ACM Classification Keywords: I.2 Artificial Intelligence – I.2.1 Applications and Expert Systems – Industrial automation

Link:

AN AGENT-BASED CONCEPT FOR PROBLEM MANAGEMENT SYSTEMS TO ENHANCE RELIABILITY

Huiqiang Wang, Nasser Jazdi, Peter Goehner

http://www.foibg.com/ijicp/vol01/ijicp01-04-p06.pdf

Abstract: The modern society’s existence is inseparably linked with the development of information technologies. Today information plays a key role in the development of our society. As a result, science is beginning to move up to a more advanced stage of development - the noospheric one. The noospheric stage of scientific development involves the use of modern noospheric system approach and innovative methods and technologies based on knowledge. This work is based upon a noospheric system methodology (systemology) which allows to consider complex systems holistically, to take into account their essential (ontological) properties and relations, to solve the complicated ill-structured problems relying on knowledge. The application of the systemological classification analysis on the basis of the natural classification criteria allows to define and to simulate deep knowledge being adequate for any subject domain including the ill-structured ones; to consider the objects’ essential properties. Using of the knowledge-oriented system tools allows employees to build intellectual capital, will allow organizations and states to develop in a more efficient, competitive way and to form knowledge economy. Knowledge management tools are the most effective means of managing organizations to improve their competitiveness. Alongside the increasing number of Internet users, the enhancing of its availability, the effectiveness of social networking on the Internet in organizations rises, it is especially vital for employees training. The improvement of quality of social networks functioning on the Internet requires the adequacy of their domain, adaptability and useroriented interface. The paper has presented some results of studies on knowledge systematization in the subject domains "Social Networking on the Internet", "Competences" on the basis of systemological classification analysis that is directly relevant for the education field, the learning organizations creation, functional platform for further development of this direction.

Keywords: knowledge management, a learning organization, a social network on the Internet, a competence, knowledge-oriented technology, the Internet, systemological classification analysis, classification, a systemology model, education, noospheric stage of scientific development.

Link:

KNOWLEDGE MANAGEMENT TOOLSET ANALYSIS FOR LEARNING ORGANIZATIONS

Kateryna Solovyova, Andrey Danilov, Panasovska Yuliia, Kobrin Maksim

http://www.foibg.com/ijicp/vol01/ijicp01-04-p05.pdf

Abstract: This article discusses the formation of educational standards. The method of forming the content of the educational process describes. The method is based on the ontological knowledge representation and ontological models describing different categories of educational process. Is an example of the formation of educational and vocational programs educational qualification level, the allocation of appropriate skills competencies, creating curricula based on application of an ontological description of subject knowledge.

Keywords: ontology, knowledge systems, educational programs, ontograph.

ACM Classification Keywords: G.2 Discrete Mathematics – G.2.2 Graph Theory – Trees; I.2 Artificial Intelligence - I.2.4 Knowledge Representation Formalisms and Methods; K.3 Computers And Education – K.3.2 Computer and Information Science Education

Link:

ONTOLOGY OF EDUCATIONAL STANDARDS

Oleksandr Stryzhak

http://www.foibg.com/ijicp/vol01/ijicp01-04-p04.pdf

Abstract: In this paper a variety of computer vision algorithms in a context of their application to the problem of study of facial expressions were analyzed. Performance characteristics of computer vision algorithms for tracking markers which were attached to the face in ideal and real conditions were obtained. A list of algorithms’ faults that occurred during experiments was given, and ways to reduce an impact of various factors that influenced the experiments were suggested. The results of experiments were used to model facial expressions on a face of a virtual model of a human head.

Keywords: facial expression, computer vision, reference points.

Link:

FACIAL EXPRESSIONS ANALYSIS BASED ON A COMPUTER VISION ALGORITHMS

Iurii Krak, Anton Ternov, Vladislav Kuznetsov

http://www.foibg.com/ijicp/vol01/ijicp01-04-p03.pdf

Abstract: The Great inscription from Preslav has been cut into the granite column, which has been found during excavations in the city of Preslav. It is considered that it contains words of military nature, and numbers written with Greek letters, and is looked at as a part of inscriptions from northeast Bulgaria, called military inventory inscriptions. In modern science dominates the view that these inscriptions have been left from the 'early Bulgarians', settled in Dobrudzha that went to the south cost of Danube with the ruling dynasty of Isperih. Through comparison between the letter (sound) frequencies in the text in the Great inscription from Preslav with the frequencies of the letters of the names (personal - of rulers, clans and calendar names) in the Nominalia of the Bulgarian rulers, we can deduct, that it is very likely that the language of the Big inscription from Preslav is different from the language of the people ruled by Isperih. This point is towards the unbiased search for landmarks for attribution and dating of the Preslav inscription in broader chronological terms. Additional considerations give us the basis for a hypothesis, that the Great Preslav Inscription is an artifact created during the XV century.

Keywords: inscription from Preslav, frequencies of the letters, dating

ACM Classification Keywords: I.6 Simulation and Modeling, I.6.3 Applications

Link:

LANGUAGE IDENTIFICATION AND DATING OF THE GREAT PRESLAV INSCRIPTION BASED ON LETTER FREQUENCY

Jordan Tabov, Tzvetan Pavlov

http://www.foibg.com/ijicp/vol01/ijicp01-04-p02.pdf

Abstract: An approach for knowledge representation based on post-relation type of information bases is outlined in the paper. Explanation starts with remembering the idea of Natural Language Addressing. After that, the idea of Multi-layer Knowledge Representation by Means of Natural Language Addressing is presented.

Keywords: Multi-layer Knowledge Representation; Natural Language Addressing

ACM Keywords: I.2.4 Knowledge Representation Formalisms and Methods

Link:

MULTI-LAYER KNOWLEDGE REPRESENTATION

Krassimira Ivanova

http://www.foibg.com/ijicp/vol01/ijicp01-04-p01.pdf

Abstract: An approach for forming taxonomies based on semantic analysis of text arrays is presented in this paper. The algorithm and the main stages of its work are described. The specification of input and output data is defined as lambda calculus terms without types. Auxiliary algorithms for detecting different types (in particular, geographic) information are outlined. The evaluation of the effectiveness of the proposed algorithm, obtained by computational experiments, is given.

Keywords: Taxonomy, Hyper-relation, Structuring, Knowledge Engineering

ACM Classification Keywords: I.2 ARTIFICIAL INTELLIGENCE - I.2.4 Knowledge Representation Formalisms and Methods, H. Information Systems

Link:

Taxonomyzation of Natural Language Texts

Vitaly Prihodnyuk

http://www.foibg.com/ijima//vol05/ijima05-03-p07.pdf

Abstract: An introduction to the problems considering complexity of simultaneous divisibilities of values of linear polynomials is presented. Some history facts, recent results and open questions that stimulate further research are discussed.

Keywords: NP-completeness, existential Presburger arithmetic with divisibility, systems of divisibilities of values of linear polynomials, quadratic diophantine equations

ACM Classification Keywords: F.1.3 Complexity Measures and Classes, Reducibility and completeness; F.2.1 Analysis of Algorithms and Problem Complexity, Numerical Algorithms and Problems, Numbertheoretic computations

Link:

Review of some problems on the complexity of simultaneous divisibility of linear polynomials

Nikolay K. Kosovskii, Mikhail Starchak

http://www.foibg.com/ijima//vol05/ijima05-03-p06.pdf

Abstract: Many artificial intelligence problems are NP-complete ones. To decrease the needed time of such a problem solving a method of extraction of sub-formulas characterizing the common features of objects under consideration is suggested. This method is based on the offered by the author notion of partial deduction. Repeated application of this procedure allows to form a level description of an object and of classes of objects. A model example of such a level description and the degree of steps number increasing is presented in the paper.

Keywords: Artificial Intelligence, pattern recognition, predicate calculus, level description of a class

Link:

PARTIAL DEDUCTION IN PREDICATE CALCULUS AS A TOOL FOR ARTIFICIAL INTELLIGENCE PROBLEM COMPLEXITY DECREASING

Tatiana M. Kosovskaya

http://www.foibg.com/ijima//vol05/ijima05-03-p05.pdf

Abstract: The article deals with some modern methods and technologies used in solving problems of information support of the effective management of the agricultural enterprise. It contains the principles of construction systems of information protection in computer information systems of agricultural enterprises.

Key words: information technology, information support, information systems, protection of information, policy of information safety, information protection system.

ACM Classification Keywords: K.6.5 Management of computing and information systems - Security and Protection.

Link:

PROTECTION OF COMPUTER INFORMATION SYSTEMS OF AGRICULTURAL ENTERPRISES

Valentyn Nekhai, Igor Skiter, Еlena Trunova

http://www.foibg.com/ijima//vol05/ijima05-03-p04.pdf

Abstract: This paper is dedicated to description of method of the maturity estimation of startup and spin-off IT-companies created with the help of University Business Centers as an approach for cooperation between universities and industrial companies. The control loop, based on the formation and subsequent evaluation of organizational maturity of IT-start-up based on CMMI model is shown. The conception of tool for assessment of IT companies maturity is proposed and theoretical ground for implementing it on the basis of the apparatus of fuzzy logic is provided.

Keywords: academic IT entrepreneurship, IT start-up, maturity of IT companies, fuzzy logic, CMMI.

ACM Classification Keywords: K.6.1 Management of Computing and Information Systems - Project and People Management

Link:

THE MODEL OF IT-STARTUP THAT GROWS IN UNIVERSITY ECOSYSTEM AND APPROACH TO ASSESS ITS MATURITY

Maxim Saveliev, Vitalii Lytvynov

http://www.foibg.com/ijima//vol05/ijima05-03-p03.pdf

Abstract: This paper describes an intelligent framework for the recommendation of mobile services to users, based on a combination of two different approaches. The first one utilizes Wireless Billboard Channels (WBCs) to push (by broadcasting) service advertisements to mobile users/devices in order to enable them to discover and associate with the ‘best’ service instances under the Always Best Connected and best Served (ABC&S) communications paradigm. The second approach uses a dedicated service recommendation system, which finds and suggests to each individual user the ‘best’ service instances, depending on the current user-, network-, and service context. The main parts of the proposed framework are explained and the key technological solutions required to support it are outlined.

Keywords: Ubiquitous Consumer Wireless World (UCWW), Always Best Connected and best Served (ABC&S), Wireless Billboard Channels (WBCs), Advertisement, Discovery and Association (ADA), mobile services, service recommendation system, intelligent framework.

ACM Classification Keywords: C.0 GENERAL – System architectures, C.2.1 Network Architecture and Design – Wireless communication, C.2.4 Distributed Systems – Client/server, D.2.2 Design Tools and Techniques – Evolutionary prototyping.

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INTELLIGENT FRAMEWORK FOR RECOMMENDATION OF MOBILE SERVICES TO CONSUMERS

Ivan Ganchev

http://www.foibg.com/ijima//vol05/ijima05-03-p02.pdf

Abstract: Enhancing the hardware power does not cause linear enhancing of the informational services’ performance. To discover the value of growth one has to test both source and enhanced systems running equal or similar services. If we need to discover the growth of services’ performance for different computers’ configurations we have to have common basis for comparing one software service with those of other systems which are tested on different computer configurations. In paper Ivanova et al 2016 the first step of a method for solving such problem was presented. In this paper we outline the second step of the method. This step consists of computing the informational services’ performance proportionality constants. Further paper will present the last step of the method. All examples in the paper are based on results from real experiments presented in the Markov et al, 2015.

Keywords: Evaluation of informational services; computing the software systems’ performance proportionality constants.

ACM Classification Keywords: H.3.4 Systems and Software - Performance evaluation (efficiency and effectiveness); H.3.5 Online Information Services.

Link:

A METHOD FOR EVALUATION OF INFORMATIONAL SERVICES - STEP 2: COMPUTING THE INFORMATIONAL SERVICES’ PERFORMANCE PROPORTIONALITY CONSTANTS

Krassimira Ivanova, Ivan Ivanov, Mariyana Dimitrova, Krassimir Markov, Stefan Karastanev

http://www.foibg.com/ijima//vol05/ijima05-03-p01.pdf

Abstract: The advantages of optical technologies' usage for information transfer by telecommunication networks are researched. The analysis of methods for increasing the switching speed of optical signals with optical management usage is done. The analysis of the eleven types of optical switching elements’ characteristics, using electronic and optical management, is carried out. Two-criterion problem of choice of optical switching elements implementation at the usage of six acceptability indicators (performance, cost, power consumption, reliability, switching management type and noise sensitivity) is solved. Hasse diagrams for the quality indicators of optical switching elements’ selected variants are given. Optical switching element, based on the Fabry-Perot? interferometer, is selected according to the results of the problem of choice solution.

Keywords: Optical telecommunication networks, optical switching element, optical signals’ switching system.

ACM: B.4 INPUT/OUTPUT AND DATA COMMUNICATIONS - B.4.3 Interconnections (subsystems ), H.4.3 Communications Applications.

Link:

PROBLEM OF CHOICE OF SWITCHING ELEMENT FOR OPTICAL TELECOMMUNICATION NETWORK

Galina Gayvoronska, Borys Rybalov

http://www.foibg.com/ijima//vol05/ijima05-01-p08.pdf

Abstract: Fact extraction from the text is one of the most important areas of Natural Language Processing (NLP). Majority of existing approaches allows extracting facts from structured textual information of the specific subject areas. This paper proposes a logical-linguistic model extracting facts from semi-structured texts in English, which belong to unlimited subject areas. A fact is written in the form of a triplet: Subject - Predicate - Object, in which the Predicate defines the relations and Subject and Object define the subjects, objects or concepts. Our model defines meaning relations via grammatical and semantic features of the words in English sentences. In order to formalize and represent the participants of the fact triplet explicitly, we identify subject variables. The subject variables define a finite set of morphological and syntactic features of the words in sentences. The model was successfully implemented in the system of extraction and identification of a few types of the facts: the fact of lacking, the fact of ownership, the fact of transferring, and the fact of the presence of the attribute of time, location, and belonging for the first three fact actions. We estimated the effectiveness of our model via the coefficients of precision and recall. Results оf the paper show that using of the model lets increase the numerical values of these coefficients.

Keywords: facts extraction from the text, Natural Language Processing, semantic relations, the algebra of finite predicates, recall and precision.

ACM Classification Keywords: H.3.3 .Information Search and Retrieval, I.2.4. Knowledge Representation Formalisms and Methods

Link:

Facts extraction from the semi-structured text information

Nina Khairova, Nataliya Sharonova, Ajit Pratap Singh Gautam

http://www.foibg.com/ijima//vol05/ijima05-01-p07.pdf

Abstract: The article discusses the possibility of rapid deployment in the educational system of Ukraine mobile learning technologies, taking into account the peculiarities of development and implementation of information and communication technologies in the state. Conducted analysis of statistical data that reveal the results of mobile marketing in Ukraine through questionnaires of social networks users. The results of pilot experiments to create micro lessons for the mobile platform Android and the use of podcasting technology in the structure of distance learning courses, demonstrate loyalty to the chosen strategy of developing multi-platform applications for educational purposes.

Keywords: podcasting, mobile learning, LMS MOODLE, interface, multi-platform, native applications, Information Technology, infrastructure

ACM Classification Keywords: K.3.1 Computer Uses in Education - Collaborative learning; Distance learning

Link:

ESTABLISHING MOBILE LEARNING IN THE UKRAINE: PROBLEMS AND PROSPECTS

Oleksiy Voychenko, Nazar Mykhailiv, Larysa Savyuk

http://www.foibg.com/ijima//vol05/ijima05-01-p06.pdf

Abstract: This paper solves the problem of the efficiency of multifunctional centers providing services (MFC) in Russia. It is used the method of process modeling and improvement to business-processes for solving this problem and for improvement of quality of service provision in MFC. It has been indicated key indicators influenced at the efficiency, identified risks and correlation of risks and indicators. The paper considers priority risks, which should be minimized and organizational measures for current risks minimization.

Keywords: business-process, efficiency, improvement, government services, multifunctional center

ACM Classification Keywords: G.2.2 Graph Theory, H.1 Models and Principles, K.4.3 Organizational Impacts

Link:

THE IMPROVEMENT OF THE PROCESS OF PROVIDING GOVERMENT SERVICES IN MULTIFUNCTIONAL CENTRES IN RUSSIA

Stepan Kovalev

http://www.foibg.com/ijima//vol05/ijima05-01-p05.pdf

Abstract: The article considers the problems of configuring grid resources to perform computational tasks in the grid environment. The technology of automated configuration environment to perform tasks in the grid environment using virtualization was proposed. The results of the evaluation of the effectiveness of the proposed technology based on the developed simulation model were presented.

Keywords: grid-computing, virtualization, effectiveness, simulation.

ACM Classification Keywords: C.2.4 Distributed Systems, D.4.1 Process Management.

Link:

BUILDING OF THE VIRTUAL ENVIRONMENT FOR GRID APPLICATIONS

Volodymyr Kazymyr, Dmytro Melnychenko, Olga Prila, Mykola Kryshchenko

http://www.foibg.com/ijima//vol05/ijima05-01-p04.pdf

Abstract: The paper is devoted to comparative analysis of performance the modern methods of statistical steganalysis in case of message hiding in digital images with usage of multidomain and multistage embedding methods. It is considered the case of applying of statistical models of cover images in spatial (SPAM model) and frequency (CC-PEV model) domains, as well as universal CDF model for revealing the stego image with messages, embedded with usage of standard (Discrete Cosine and Wavelet Transforms) and special (Singular Value Decomposition) transforms of cover images and stegodata. It is shown that applying of modern methods of statistical steganalysis allows reliably revealing stego images, formed according to multistage embedding methods. Usage special transforms of cover images, for instance Singular Value Decomposition, allows significantly decrease the performance of statistical steganalysis, which requires development of new statistical models of cover images for steganogram detection.

Keywords: statistical steganalysis, multidomain embedding methods, multistage embedding methods, digital images.

ACM Classification Keywords: D.4 Operating Systems – Security and protection – Information flow controls.

Link:

STATISTICAL STEGANALYSIS OF MULTISTAGE EMBEDDING METHODS

Dmytro Progonov

http://www.foibg.com/ijima//vol05/ijima05-01-p03.pdf

Abstract: In the article the application of fuzzy neural network NefClass? with Gaussian and triangular membership functions to pattern recognition of objects on medical images obtained by colposcopy. The characteristics of each group of diseases of cervix uterus are analyzed. Using the values of features by the color model RGB the class of the input sample is determined. Received samples are processed using fuzzy neural network RBF and a class of sample is determined. A comparative analysis of the recognition results using the fuzzy network with obtained results of crisp RBF neural network is performed.

Keywords: medical images, pattern recognition, fuzzy neural network

Link:

RECOGNITION OF OBJECTS ON OPTICAL IMAGES IN MEDICAL DIAGNOSTICS USING FUZZY NEURAL NETWORK NEFCLASS

Yuriy Zaychenko, Vira Huskova

http://www.foibg.com/ijima//vol05/ijima05-01-p02.pdf