Abstract: The polyparametric intelligence information system for diagnostics human functional state in medicine and public health is developed. The essence of the system consists in polyparametric describing of human functional state with the unified set of physiological parameters and using the polyparametric cognitive model developed as the tool for a system analysis of multitude data and diagnostics of a human functional state. The model is developed on the basis of general principles geometry and symmetry by algorithms of artificial intelligence systems. The architecture of the system is represented. The model allows analyzing traditional signs - absolute values of electrophysiological parameters and new signs generated by the model – relationships of ones. The classification of physiological multidimensional data is made with a transformer of the model. The results are presented to a physician in a form of visual graph – a pattern individual functional state. This graph allows performing clinical syndrome analysis. A level of human functional state is defined in the case of the developed standard (“ideal”) functional state. The complete formalization of results makes it possible to accumulate physiological data and to analyze them by mathematics methods.

ACM Classification Keywords: J.3 Life and Medical Sciences: Health. Medical information systems. I.3.5 Computational Geometry and Object Modeling. I.5.1 Models Geometric.

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APPLICATION OF THE ARTIFICIAL INTELLIGENCE ALGORITHMS FOR SYSTEM ANALYSIS OF MULTI DIMENSION PHYSIOLOGICAL DATA FOR DEVELOPING POLYPARAMETRIC INFORMATION SYSTEM OF PUBLIC HEALTH DIAGNOSTICS

Nina Dmitrieva, Oleg Glazachev

http://www.foibg.com/ijita/vol14/ijita14-2-p07.pdf

Abstract: In this article the medical data-advisory web-resource developed by authors is considered. This resource allows carrying out information interchange between consumers of medical services and the medical establishments which give these services, and firms-manufacturers of medical equipment and medicaments. Main sections of this web-site, their purposes and capabilities are considered in this article.

Keywords: web-resource, information interchange, medical advice.

ACM Classification Keywords: J.3 Life and medical sciences: Medical information systems

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APPLICATION OF NETWORK TECHNOLOGIES FOR DEVELOPMENT OF MEDICAL DATA-ADVISORY CLINIC “MED-HEALTH”

Anatoly Bykh, Elena Visotska, Tatjana Zhemchuzhkina, Andrey Porvan, Alexander Zhook

http://www.foibg.com/ijita/vol14/ijita14-2-p05.pdf

Abstract: An effective aperture approach is used as a tool for analysis and parameter optimization of mostly known ultrasound imaging systems - phased array systems, compounding systems and synthetic aperture imaging systems. Both characteristics of an imaging system, the effective aperture function and the corresponding two-way radiation pattern, provide information about two of the most important parameters of images produced by an ultrasound system - lateral resolution and contrast. Therefore, in the design, optimization of the effective aperture function leads to optimal choice of such parameters of an imaging systems that influence on lateral resolution and contrast of images produced by this imaging system. It is shown that the effective aperture approach can be used for optimization of a sparse synthetic transmit aperture (STA) imaging system. A new two-stage algorithm is proposed for optimization of both the positions of the transmitted elements and the weights of the receive elements. The proposed system employs a 64-element array with only four active elements used during transmit. The numerical results show that Hamming apodization gives the best compromise between the contrast of images and the lateral resolution.

Keywords: Ultrasound imaging, Synthetic aperture, stochastic optimization.

ACM Classification Keywords: J.3 Life and Medical Sciences: Medical information systems; I.5.4 Pattern recognition: Applications --- Signal processing; G.1.6 Numerical Analysis: Optimization --- Simulated annealing

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ANALYSIS AND OPTIMIZATION OF SYNTHETIC APERTURE ULTRASOUND IMAGING USING THE EFFECTIVE APERTURE APPROACH

Milen Nikolov, Vera Behar

http://www.foibg.com/ijita/vol12/ijita12-3-p09.pdf

Abstract: Results of numerical experiments are introduced. Experiments were carried out by means of computer simulation on olfactory bulb for the purpose of checking of thinking mechanisms conceptual model, introduced in 2. Key role of quasisymbol neurons in processes of pattern identification, existence of mental view, functions of cyclic connections between symbol and quasisymbol neurons as short-term memory, important role of synaptic plasticity in learning processes are confirmed numerically. Correctness of fundamental ideas put in base of conceptual model is confirmed on olfactory bulb at quantitative level.

Keywords: thinking phenomena, olfactory bulb, numerical experimentation, model, neural network.

ACM Classification Keywords: J.3 Life and medical sciences - biology and genetics; I.2.6. Artificial intelligence: learning - connectionism and neural nets; D.2.5 Software engineering: testing and debugging; E.2 Data storage representations - linked representations, object representation; H.1 Models and principles; I.5.1 Pattern recognition: models - neural nets; I.6.4 Simulation and modelling: model validation and analysis.

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EXPLORATION BY MEANS OF COMPUTER SIMULATION OF NONLINEAR HIERARCHICAL STRUCTURE OF NEURONAL MEMORY ON THE MODEL OF OLFACTORY BULB

Yuriy Belov, Sergiy Тkachuk, Roman Iamborak

http://www.foibg.com/ijita/vol12/ijita12-1-p08.pdf

Abstract: System compositional approach to model construction and research of informational processes, which take place in biological hierarchical neural networks, is being discussed. A computer toolbox has been successfully developed for solution of tasks from this scientific sphere. A series of computational experiments investigating the work of this toolbox on olfactory bulb model has been carried out. The well-known psychophysical phenomena have been reproduced in experiments.

Keywords: system compositional approach, mathematical and computer modelling, elementary sensorium, hierarchical neural networks, computer toolbox, olfactory bulb.

ACM Classification Keywords: J.3 Life and medical sciences - biology and genetics; I.2.6. Artificial intelligence: learning - connectionism and neural nets; I.5.1 Pattern recognition: models - neural nets; I.6.3 Simulation and modelling: applications; H.1.m Models and principles: miscellaneous.

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MODEL CONSTRUCTION AND RESEARCH USING SYSTEM COMPOSITIONAL APPROACH ON NATURAL HIERARCHICAL NEURAL NETWORKS. DEVELOPMENT OF COMPUTER TOOLBOX

Yuriy Belov, Sergiy Тkachuk, Roman Iamborak

http://www.foibg.com/ijita/vol12/ijita12-1-p07.pdf

Abstract: The basic methods of decisions making in multi-criterion conditions are considered, from which the method of the weighed total for calculation of diagnostic indexes significance in differential diagnostics of dermatological diseases is chosen.

Keywords: dermatology, differential diagnostics, method of the weighed total, multi-criterion task.

ACM Classification Keywords: J.3 Life and medical scinces: Medical information systems

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GROUND OF MODEL FOR THE GENERALIZED CRITERION FORMING AT DIFFERENTIAL DIAGNOSTICS OF DERMATOLOGICAL DISEASES

Anatoly Bykh, Elena Visotska, Olga Kozina, Anna Tikhonova, Andrey Porvan, Alexander Zhook

http://www.foibg.com/ijita/vol15/ijita15-3-p16.pdf

Abstract: Determination of the so-called optical constants (complex refractive index N, which is usually a function of the wavelength, and physical thickness D) of thin films from experimental data is a typical inverse non-linear problem. It is still a challenge to the scientific community because of the complexity of the problem and its basic and technological significance in optics. Usually, solutions are looked for models with 3-10 parameters. Best estimates of these parameters are obtained by minimization procedures. Herein, we discuss the choice of orthogonal polynomials for the dispersion law of the thin film refractive index. We show the advantage of their use, compared to the Selmeier, Lorentz or Cauchy models.

Keywords: Thin films; Materials and process characterization

ACM Classification Keywords: J.2 Physical Sciences and Engineering (Physics)

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MODELING OPTICAL RESPONSE OF THIN FILMS: CHOICE OF THE REFRACTIVE INDEX DISPERSION LAW

Peter Sharlandjiev, Georgi Stoilov

http://www.foibg.com/ijitk/ijitk-vol02/ijitk02-2-p08.pdf

Abstract: In the present paper the results from designing of device, which is a part of the automated information system for counting, reporting and documenting the quantity of produced bottles in a factory for glass processing are presented. The block diagram of the device is given. The introduced system can be applied in other discrete productions for counting of the quantity of bottled production.

Keywords: device for counting, automated information system

ACM Classification Keywords: J.2 Physical Sciences and Engineering

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DEVICE FOR COUNTING OF THE GLASS BOTTLES ON THE CONVEYOR BELT

Ventseslav Draganov, Georgi Toshkov, Dimcho Draganov, Daniela Toshkova

http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-2-p15.pdf

Abstract: The problem of adapting teaching systems to the teacher has not been extensively covered in the specialised literature. The authors present the server-client architecture of a Task-Oriented? Environment for Design of Virtual Labs (TOEDVL). The paper focuses on the computational models supporting its base of tasks (BT) and on two groups of behavioural tutor’s models for planning training sessions. Detailed examples are presented.

Keywords: task, training, search, sort, adaptation, models

ACM Classification Keywords: J.1 Computer Applications, Administrative Data Processing, Education

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ADAPTATION OF A TASK-ORIENTED TRAINING ENVIRONMENT TO ITS USERS

Irina Zheliazkova, Georgi Georgiev, Rumen Kolev

http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-4-p12.pdf

Abstract: When export and import is connected with output of basic production, and criterion functional represents a final state of economy, the generalization of classical qualitative results of the main-line theory on a case of dynamic input-output balance optimization model for open economy is given.

Keywords: dynamic input-output balance, optimization problem, main-line theory, open economy, trajectory of the balanced growth.

ACM Classification Keywords: J.1 Administrative Data Processing: Business, Financial, Government

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OPTIMUM TRAJECTORY OF DYNAMIC INPUT-OUTPUT BALANCE MODEL FOR OPEN ECONOMY

Igor Lyashenko, Olena Lyashenko

http://www.foibg.com/ijita/vol13/ijita13-1-p05.pdf

Abstract: During the MEMORIAL project time an international consortium has developed a software solution called DDW (Digital Document Workbench). It provides a set of tools to support the process of digitisation of documents from the scanning up to the retrievable presentation of the content. The attention is focused to machine typed archival documents. One of the important features is the evaluation of quality in each step of the process. The workbench consists of automatic parts as well as of parts which request human activity. The measurable improvement of 20% shows the approach is successful.

Keywords: Document Management, Digital Document Workbench, Image Processing, OCR, Machine Typed Document.

ACM Classification Keywords: I.7.5 Document and Text Processing: Document Capture

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A WORKBENCH FOR DOCUMENT PROCESSING

Karola Witschurke

http://www.foibg.com/ijita/vol12/ijita12-2-p05.pdf

Abstract: This paper describes distributed/parallel simulation system Triad.Net and software, which allows geographical distributed users to participate collaboratively and remotely in simulation experiments and to observe simulation model behavior via Internet.

Keywords: Simulation, remote access, portal

ACM Classification Keywords: I.6.7. Simulation Support Systems

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SOFTWARE FOR REMOTE PARALLEL SIMULATION

Alexander Mikov, Elena Zamyatina, Anton Firsov

http://www.foibg.com/ijita/vol14/ijita14-4-p14.pdf

Abstract: The compact and visualized documenting of information business modeling is a major prerequisite for comprehending its basic concepts, as well as for its effective application and improvement. The documenting of this process is related to its modeling. Thus, the process of information business modeling can be represented by its own tools. Being based on this thesis, the authors suggest an approach to representing the process of information business modeling. A profile for its documenting has been developed for the purpose.

Keywords: business modeling, SPEM, UML profile

ACM Classification Keywords: I.6.5 Model Development - Modeling methodologies

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AN APPROACH TO REPRESENTING THE PROCESS OF INFORMATION BUSINESS MODELING

Nadezhda Filipova, Filcho Filipov

http://www.foibg.com/ijitk/ijitk-vol02/ijitk02-3-p13.pdf

Abstract: eLearning at universities is taking an increasingly larger part of academic teaching methodologies. In part this is caused by different pedagogical concepts behind interactive learning system, in part it is because of larger numbers of students that can be reached within one given course and, most important, actively integrated into the teaching process. We present here the development of a novel concept of teaching, allowing students to explore theoretical and experimental aspects of act of magnetic field on moving charge through real experiments and simulation. This problem is not only part of the basic education of physics students, but also element of the academic education of almost all engineers.

Keywords: Electromagnetism, Physics labwork, Engineering education, Simulation and real experiment, eLearning

ACM Classification Keywords: I.6.5 Model Development.

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ELECTROMAGNETISM: INTERACTION OF SIMULATION AND REAL LAB EXPERIMENT

Aleksandrija Aleksandrova, Nadezhda Nancheva

http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-1-p07.pdf

Abstract. It is consider the new global models for society of neuronet type. The hierarchical structure of society and mentality of individual are considered. The way for incorporating in model anticipatory (prognostic) ability of individual is considered. Some implementations of approach for real task and further research problems are described. Multivaluedness of models and solutions is discussed. Sensory-motor systems analogy also is discussed. New problems for theory and applications of neural networks are described.

ACM Classification Keywords: I.6.5 Model development: modelling methodology

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NEURAL NETWORKS FOR MODELLING OF LARGE SOCIAL SYSTEMS. APPROACHES FOR MENTALITY, ANTICIPATING AND MULTIVALUEDNESS ACCOUNTING.

Alexander Makarenko

http://www.foibg.com/ijita/vol13/ijita13-4-p13.pdf

Abstract: The main features of virtual organizations are outlined. The mathematical models of functioning of virtual organization are offered on the basis of theory of queuing systems. Characteristics of efficiency are examined.

Keywords: virtual enterprise, virtual laboratory, queuing system.

ACM Classification Keywords: I.6.4 Model Validation and Analysis; K.6.1 Project and People Management - Systems analysis and design.

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BIVIRTUAL ORGANIZATION AS A QUEUING SYSTEM

Tetiana Palonna, Iurii Palonnyi

http://www.foibg.com/ijitk/ijitk-vol02/ijitk02-3-p17.pdf

Abstract: The purpose of the current paper is to present the developed methodology of viable model based enterprise management, which is needed for modern enterprises to survive and growth in the information age century. The approach is based on Beer’s viable system model and uses it as a basis of the information technology implementation and development. The enterprise is viewed as a cybernetic system which functioning is controlled from the same rules as for every living system.

Keywords: enterprise strategy, viable system model, enterprise model, neural network, artificial intelligence, cybernetics, business trends.

ACM Classification Keywords: I.6.3 Simulation and Modeling: Applications; I.2.6 Artificial Intelligence: Neural nets

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VIABLE MODEL OF THE ENTERPRISE – A CYBERNETIC APPROACH FOR IMPLEMENTING THE INFORMATION TECHNOLOGIES IN MANAGEMENT

Todorka Kovacheva

http://www.foibg.com/ijita/vol13/ijita13-4-p06.pdf

Abstract: Enterprises in growing markets with transitional economy nowadays encounter extreme necessity to change their structures and improve business processes. In order to support knowledge processes within organizational change initiative enterprises can use business modeling tools. On one hand software vendors suggest many tools of this kind, but on the other hand growing markets with transitional economy determine quite special requirements for such tools. This article reveals these requirements, assesses existing business modeling tools using these requirements and describes ORG-Master as a tool specially created for support of process improvement initiatives in the growing markets with transitional economy.

Keywords: Business information modeling, business modeling, knowledge process, organizational change, business process improvement, growing markets, transitional economy.

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

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USING ORG-MASTER FOR KNOWLEDGE BASED ORGANIZATIONAL CHANGE

Dmitry Kudryavtsev, Lev Grigoriev, Valentina Kislova, Alexey Zablotsky

http://www.foibg.com/ijita/vol13/ijita13-2-p05.pdf

Abstract: Research and development of mathematical model of optimum distribution of resources (basically financial) for maintenance of the new (raised) quality (reliability) of complex system concerning, which the decision on its re-structuring is accepted, is stated. The final model gives answers (algorithm of calculation) to questions: how many elements of system to allocate on modernization, which elements, up to what level of depth modernization of each of allocated is necessary, and optimum answers are by criterion of minimization of financial charges.

Keywords: system, re-structuring, quality, reliability.

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

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MATHEMATICAL MODEL OF RE-STRUCTURING COMPLEX TECHNICAL AND ECONOMIC STRUCTURES

May Kornijchuk, Inna Sovtus, Eugeny Tsaregradskyy

http://www.foibg.com/ijita/vol12/ijita12-2-p09.pdf

Abstract: Active monitoring and problem of non-stable of sound signal parameters in the regime of piling up response signal of environment is under consideration. Math model of testing object by set of weak stationary dynamic actions is offered. The response of structures to the set of signals is under processing for getting important information about object condition in high frequency band. Making decision procedure by using researcher’s heuristic and aprioristic knowledge is discussed as well. As an example the result of numerical solution is given.

Keywords: math model, active monitoring, set of weak stationary dynamic actions.

ACM Classification Keywords: I.6.1 Simulation Theory.

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ACTIVE MONITORING AND DECISION MAKING PROBLEM

Sergey Mostovoi, Vasiliy Mostovoi

http://www.foibg.com/ijita/vol12/ijita12-2-p11.pdf

Abstract: This paper describes a method of signal preprocessing under active monitoring. Suppose we want to solve the inverse problem of getting the response of a medium to one powerful signal, which is equivalent to obtaining the transmission function of the medium, but do not have an opportunity to conduct such an experiment (it might be too expensive or harmful for the environment). Practically the problem can be reduced to obtaining the transmission function of the medium. In this case we can conduct a series of experiments of relatively low power and superpose the response signals. However, this method is conjugated with considerable loss of information (especially in the high frequency domain) due to fluctuations of the phase, the frequency and the starting time of each individual experiment. The preprocessing technique presented in this paper allows us to substantially restore the response of the medium and consequently to find a better estimate for the transmission function. This technique is based on expanding the initial signal into the system of orthogonal functions.

Keywords: mathematical modelling, active monitoring, frequency and phase fluctuation.

ACM Classification Keywords: I.6.1 Simulation Theory.

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SIGNAL PROCESSING UNDER ACTIVE MONITORING

Oleksii Mostovyi

http://www.foibg.com/ijita/vol12/ijita12-3-p08.pdf

Abstract: In this paper a computational mode is presented base on DNA molecules. This model incorporates the theoretical simulation of the principal operations in genetic algorithms. It defines the way of coding of individuals, crossing and the introduction of the individuals so created into the population. It resolves satisfactorily the problems of fitness coding. It shows also the model projection for the resolution of TSP. This is the basic step that will allow the resolution of larger examples of search problems beyond the scope of exact exponentially sized DNA algorithms like the proposed by Adleman Adleman, 1994 and Lipton Lipton, 1995.

Keywords: Genetic Algorithms, Fitness Function, DNA Computing, Evolutionary Computing.

ACM Classification Keywords: I.6. Simulation and Modelling, F.m. Theory of Computation

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DNA SIMULATION OF GENETIC ALGORITHMS: FITNESS COMPUTATION1

Maria Calvino, Nuria Gomez, Luis F. Mingo

http://www.foibg.com/ijita/vol14/ijita14-3-p03.pdf

Abstract: In this paper it is explained how to solve a fully connected N-City? travelling salesman problem (TSP) using a genetic algorithm. A crossover operator to use in the simulation of a genetic algorithm (GA) with DNA is presented. The aim of the paper is to follow the path of creating a new computational model based on DNA molecules and genetic operations. This paper solves the problem of exponentially size algorithms in DNA computing by using biological methods and techniques. After individual encoding and fitness evaluation, a protocol of the next step in a GA, crossover, is needed. This paper also shows how to make the GA faster via different populations of possible solutions.

Keywords: DNA Computing, Evolutionary Computing, Genetic Algorithms.

ACM Classification Keywords: I.6. Simulation and Modeling, B.7.1 Advanced Technologies, J.3 Biology and Genetics

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SOLVING TRAVELLING SALESMAN PROBLEM IN A SIMULATION OF GENETIC ALGORITHMS WITH DNA

Angel Goñi Moreno

http://www.foibg.com/ijita/vol15/ijita15-4-p08.pdf

Abstract: This paper presents the process of load balancing in simulation system Triad.Net, the architecture of load balancing subsystem. The main features of static and dynamic load balancing are discussed and new approach, controlled dynamic load balancing, needed for regular mapping of simulation model on the network of computers is proposed. The paper considers linguistic constructions of Triad language for different load balancing algorithms description.

Keywords: Distributed calculations, distributed simulation, static load balancing, dynamic load balancing, expert systems

ACM Classification Keywords: I.6 Simulation and Modeling I.6.8 Types of Simulation - Distributed: I.2 Artificial Intelligence I.2.5 Programming Languages and Software - Expert system tools and techniques

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DYNAMIC DISTRIBUTION SIMULATION MODEL OBJECTS BASED ON KNOWLEDGE

Alexander Mikov, Еlena Zamyatina, Кonstantin Osmehin

http://www.foibg.com/ijita/vol15/ijita15-3-p15.pdf

Abstract: Gastroesophageal reflux disease (GERD) is a common cause of chronic cough. For the diagnosis and treatment of GERD, it is desirable to quantify the temporal correlation between cough and reflux events. Cough episodes can be identified on esophageal manometric recordings as short-duration, rapid pressure rises. The present study aims at facilitating the detection of coughs by proposing an algorithm for the classification of cough events using manometric recordings. The algorithm detects cough episodes based on digital filtering, slope and amplitude analysis, and duration of the event. The algorithm has been tested on in vivo data acquired using a single-channel intra-esophageal manometric probe that comprises a miniature white-light interferometric fiber optic pressure sensor. Experimental results demonstrate the feasibility of using the proposed algorithm for identifying cough episodes based on real-time recordings using a single channel pressure catheter. The presented work can be integrated with commercial reflux pH/impedance probes to facilitate simultaneous 24-hour ambulatory monitoring of cough and reflux events, with the ultimate goal of quantifying the temporal correlation between the two types of events.

Keywords: Biomedical signal processing, cough detection, gastroesophageal reflux disease.

ACM Classification Keywords: I.5.4 Pattern Recognition: Applications – Signal processing; J.3 Life and Medical Sciences

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MANOMETRY-BASED COUGH IDENTIFICATION ALGORITHM

Jennifer A. Hogan, Martin P. Mintchev

http://www.foibg.com/ijita/vol14/ijita14-2-p03.pdf