Abstract: In this paper the application of the least squares method (LSM) has been substantiated. Case of matrix of observations for the arguments and values of the renewable function of the linear relationship between the components of observation has been considered. The solution of matrix optimization problem for the evaluation of the least squares method explicitly has been submitted, pseudo inverse means have been used. The importance of the results on applied problems of prediction media and macroeconomic indicators was illustrated.

Keywords: Moore-Penrose? pseudo inverse, regression, least squares method, macroeconomic indicators, media indicators, prediction.

ACM Classification Keywords: G.3 Probability and statistics, G.1.6. Numerical analysis: Optimization, H.1.m. Models and Principles: miscellaneous.

Link:

VECTORS AND MATRIXES LEAST SQUARES METHOD: FOUNDATION AND APPLICATION EXAMPLES

Vladimir S. Donchenko, Inna M. Nazaraga, Olga V. Tarasova

http://www.foibg.com/ijita/vol20/ijita20-04-p02.pdf

Abstract: We consider rationing problem as a group decision making problem. Fuzzy and crisp generalizations of the classical rationing methods are proposed. The proposed generalizations are illustrated by numerical examples.

Keywords: rationing problem, fuzzy models and methods, decision making.

ACM Classification Keywords: I. Computing Methodologies – I.6. Simulation and modeling – I.6.5. Model Development –Modeling Methodologies.

Link:

GENERALIZATION OF DISTRIBUTING METHODS FOR FUZZY PROBLEMS

Voloshyn O., Laver V.

http://www.foibg.com/ijita/vol20/ijita20-04-p01.pdf

Аннотация: В статье рассмотрены оптоволоконные коммутационные устройства на основе трубчатых и монолитных пьезоэлектрических актуаторов.

Ключевые слова: Волоконная оптика  Коммутационные устройства  Пьезоэлектрические актуаторы.

Ключевые слова классификации ACM: H.4.3 Communications Applications.

Link:

ПЬЕЗООПТИЧЕСКИЕ СКАНИРУЮЩИЕ КОММУТАТОРЫ

Рябцов А.В.

http://www.foibg.com/ijita/vol20/ijita20-03-p11.pdf

Abstract: This paper examines security problems of biometric based authentication. An authentication method is suggested, which is based on fingerprints with steganographic data protection in all stages of functioning. Suggested procedures of fingerprint based enrollment and authentication are also functionally described.

Link:

AUTHENTICATION BASED ON FINGERPRINTS WITH STEGANOGRAPHIC DATA PROTECTION

Narek Malkhasyan

http://www.foibg.com/ijita/vol20/ijita20-03-p10.pdf

Abstract: The possibility of creating a knowledge-based management information systems (MIS) for support of solving personnel motivation tasks in principle is considered in this article, there is an emphasis and description of the main issues that need to be addressed when developing such systems.

Keywords: management information systems.

Link:

COMMON BUILDING ISSUES OF KNOWLEDGE-BASED MANAGEMENT INFORMATION SYSTEM FOR SUPPORTING PERSONNEL MOTIVATION

Elena Antonova, Nikita Lyalyakin

http://www.foibg.com/ijita/vol20/ijita20-03-p09.pdf

Abstract: This paper introduces an approach to storing graphs based on the Natural Language Addressing in multidimensional numbered information spaces. A sample graph is analyzed to find its proper L-representation. Taking in account the interrelations between nodes and edges, a “multi-layer” representation is possible and identifiers of nodes and edges can be avoided. The advantages and disadvantages of NL-addressing for the multi-layer representation of graphs are discussed.

Keywords: graphs; addressing; natural language addressing.

ACM Classification Keywords: D.4.3 File Systems Management, Access methods.

Link:

INTRODUCTION TO STORING GRAPHS BY NL-ADDRESSING

Krassimira B. Ivanova, Koen Vanhoof, Krassimir Markov, Vitalii Velychko

http://www.foibg.com/ijita/vol20/ijita20-03-p08.pdf

Abstract: It is shown that genetic algorithms can be used successfully in problems of definite integral calculation especially when an integrand has a primitive which can't be expressed analytically through elementary functions. A testing of the program, which uses the genetic algorithm developed by authors, showed that the best results are reached if the size of population makes 30-50 chromosomes, approximately 40-60% of its take a part in crossover, and the program stops if the population's leader didn't change during 5-10 generations. An answer of genetic algorithm is more exact than answer received by the classical numerical methods, even if a quantity of partition’s points into segment is small or if an integrand is quickly oscillating. So genetic algorithms can compete both on the accuracy of calculations and on operating time with well-known classical numerical methods such as midpoint approximation, top-left corner approximation, top-right corner approximation, trapezoidal rule, Simpson's rule.

Keywords: definite integral, integral sum, numerical integration, genetic algorithm, fitness-function.

ACM Classification Keywords: F.1.2 COMPUTATION BY ABSTRACT DEVICES: Models of computation – Probabilistic computation. G.1.6 NUMERICAL ANALYSIS: Optimization – Stochastic programming.

Link:

NUMERICAL INTEGRATION BY GENETIC ALGORITHMS

Vladimir Morozenko, Irina Pleshkova

http://www.foibg.com/ijita/vol20/ijita20-03-p07.pdf

Abstract: This work introduces a solution based on genetic algorithms to find the overlapping area between two point cloud captures obtained from a three-dimensional scanner. Considering three translation coordinates and three rotation angles, the genetic algorithm evaluates the matching points in the overlapping area between the two captures given that transformation. Genetic simulated annealing is used to improve the accuracy of the results obtained by the genetic algorithm.

Keywords: Range images, genetic algorithms, overlaping point cloud captures, genetic simulated annealing.

Link:

OVERLAPPING RANGE IMAGES USING GENETIC ALGORITHMS

Fernando Ortega, Javier San Juan, Francisco Serradilla, Dionisio Cortes

http://www.foibg.com/ijita/vol20/ijita20-03-p06.pdf

Abstract: During last 50 years, the markets have been object of study. Technical and fundamental indicators have been used to try to predict the behaviour of the market and then execute buying or selling orders. This paper use the capabilities and functionalities of the transition P-systems to create an intelligent model which is able to process the information returned by the indicators in a efficient way .Membrane techniques provide a new approach of markets behaviour estimation

Keywords: Trading strategies, Technical indicators, Intelligent Transition P-Systems?.

Link:

TECHNICAL P-SYSTEMS: OPERATING IN THE STOCK MARKETS WITH TRANSITION P-SYSTEMS

Alberto Arteta, Angel Luis Castellanos, Nuria Gómez Blas

http://www.foibg.com/ijita/vol20/ijita20-03-p05.pdf

Abstract: In this paper we propose the use of Networks of Bio-inspired Processors (NBP) to model some biological phenomena within a computational framework. In particular, we propose the use of an extension of NBP named Network Evolutionary Processors Transducers to simulate chemical transformations of substances. Within a biological process, chemical transformations of substances are basic operations in the change of the state of the cell. Previously, it has been proved that NBP are computationally complete, that is, they are able to solve NP complete problems in linear time, using massively parallel computations. In addition, we propose a multilayer architecture that will allow us to design models of biological processes related to cellular communication as well as their implications in the metabolic pathways. Subsequently, these models can be applied not only to biological-cellular instances but, possibly, also to configure instances of interactive processes in many other fields like population interactions, ecological trophic networks, industrial ecosystems, etc.

Keywords: Networks of biologically-inspired processors, Bioinspired Architectures, Computational Models, Natural Computing.

ACM Classification Keywords: F.1.1 Models of Computation - Unbounded-action devices.

Link:

Self-Organizing? Architectural design based on Morphogenetic Programming

Nuria Gómez Blas, Luis F. de Mingo, Miguel A. Muriel

http://www.foibg.com/ijita/vol20/ijita20-03-p04.pdf

Abstract: This paper introduces APA (“Artificial Prion Assembly”): a pattern recognition system based on artificial prion crystalization. Specifically, the system exhibits the capability to classify patterns according to the resulting prion self- assembly simulated with cellular automata. Our approach is inspired in the biological process of proteins aggregation, known as prions, which are assembled as amyloid fibers related with neurodegenerative disorders.

Keywords: pattern recognition, prion protein aggregation, crystal growth, simulation models.

ACM Classification Keywords: F.1. Computation by abstract devices, F1.1. Models of Computation.

Link:

PRION CRYSTALIZATION MODEL AND ITS APPLICATION TO RECOGNITION PATTERN

Paula Cordero, Rafael Lahoz-Beltra? and Juan Castellanos

http://www.foibg.com/ijita/vol20/ijita20-03-p02.pdf

Abstract: The idea of Reservoir Computing has become so popular recently due to its computational efficiency and the fact that just only a linear output layer must be taught. In this paper a reservoir is proposed to be built using neo-fuzzy neurons which means that Reservoir Computing and paradigms and fuzzy logic are combined.

Keywords: reservoir computing, hybrid systems, neo-fuzzy neuron, online learning procedure, prediction.

ACM Classification Keywords: I.2.6 Learning – Connectionism and neural nets.

Link:

RESERVOIR FORECASTING NEURO-FUZZY NETWORK AND ITS LEARNING

Yevgeniy Bodyanskiy, Oleksii Tyshchenko, Iryna Pliss

http://www.foibg.com/ijita/vol20/ijita20-03-p01.pdf

Abstract: Smart Grid – is a term used to describe advanced system of energy supply, which includes various aspects from power generation to consumption, high-quality management and utility services. It also involves new digital technologies to ensure reliability, safety, and efficiency, resulting in lower costs for the provision of utility services to consumers. Since Smart Grid is intellectual and self-renewing, we can automatically solve many problems with the help of new informational technologies. The article offers the model of development of the Smart Grid based on the network architecture of the protocol G.9960. We offer the criteria of optimization and advanced data mining methods can bring new results in the field of cost-saving energy consumption and energy distribution.

Keywords: Smart Grid, protocol G.9960, recursive structure, uncertainty, functional composition, sets of rules, decision-making, knowledge database, distribution of electricity, emergency situations, consumption, data mining analysis, real time pricing.

ACM Classification Keywords: H.5 Information Systems - Information systems applications, Decision support systems, Data analytics.

Link:

METHODS AND MODELS OF THE EFFECTIVE DISTRIBUTION OF ENERGY BETWEEN CONSUMERS AND PRODUCERS

Kyzemin Oleksandr, Gurina Iryna

http://www.foibg.com/ijita/vol20/ijita20-02-p12.pdf

Abstract: Precise information and navigation monitoring in horizontal drilling is of great importance for oil exploration and deposit discovery. The cost of the drilling process depends significantly on drilling precision. The necessary drilling accuracy is provided by navigation and information-gathering instruments which need electrical power in order to operate. Small available volume, long drilling times, vibrations, and high temperatures are typical constraints for any power supply source used in downhole drilling. Downhole navigation and information-gatheringsystems become increasingly complex, with more strict demands for the parameters of their electrical power supply. Batteries and conventional power cables are the traditional and the most utilized power supply sources downhole. Both have significant disadvantages and increase the cost of drilling operations. Short lifespan of the batteries and high susceptibility to failure of the cables in the harsh downhole environment are the main motivators for further research in self-sustaining energy sources. Ideally, downhole navigation instruments and information-gathering sensors (e.g. pressure, temperature, etc.) need autonomous power supply with electrical energy produced in situ. This would improve significantly the efficacy of the entire drilling process. This article presents a review of the existing and the emerging concepts related to utilizing the available energy sources in downhole drilling. The advantages and the drawbacks of these energy-harvesting concepts are discussed and compared to conventional power sources. Progress in the development of some of these concepts is illustrated by industrial examples. Some fairly new approaches to electrical energy supply for the information exchange downhole are also presented in order to inspire non-traditional research in this field.

Keywords: Energy harvesting, Horizontal drilling processes, Oilfield Instrumentation, Measurement-While-? Drilling.

ACM Classification Keywords: A.0 General Literature - Conference proceedings; J.2 Physical Sciences and Engineering

Link:

ENERGY HARVESTING IN HORIZONTAL DRILLING PROCESSES FOR THE PURPOSE OF INFORMATION AND NAVIGATION MONITORING

Marian Dimanchev and Martin P. Mintchev

http://www.foibg.com/ijita/vol20/ijita20-02-p11.pdf

Abstract: In the article features of new portable biosensor devices of "Floratest" family for express-diagnostics of plant state in real time mode are described. The devices are developed and created in V.M.Glushkov Institute of Cybernetics of NAS of Ukraine. Today these devices are used in precision farming and environment monitoring, but new application of these devices is more challenging. Standard biosensor device can be used as part of data acquisition systems or independently, but all measurements are made in manual mode (several measurements per hour). The new one is wireless biosensor. The biosensors are integrated into sensor networks and used in precision farming and environment protection. Proposed wireless biosensors have significant differences from free-running devices. Wireless biosensors with radio transceivers are placed on test plants and data reading from set of plants is executed at the same definitive time by remote mobile computer or other mobile tools, for example, electric unmanned quadcopter. Due to it is possible to get hundreds of measurements from different parts of planted area or woodland. Implementation of proposed biosensor devices with radio channel and sensor networks on their base to agriculture and environment protection makes it possible to increase efficiency and quality of agricultural products, and spare fertilizers, water and energy resources, timely protect plants from infections and anthropogenic impact.

Keywords: wireless biosensor, precision farming, environment protection.

ACM Classification Keywords: J.3 Life and Medical Sciences - Biology and Genetics

Link:

REMOTE SMART BIOSENSORS FOR PRECISION FARMING AND ENVIRONMENT PROTECTION

Volodymyr Romanov, Dmytro Artemenko, Igor Galelyuka, Oleksandr Palagin, Yevgeniya Sarakhan

http://www.foibg.com/ijita/vol20/ijita20-02-p10.pdf

Abstract: In the paper are discussed six algorithms for non-conflict schedule obtaining in the switching nodes of type Crossbar. Comparative analysis of algorithms gives an overview of their potentiality related to the speed, required memory and performance as a function of the size N of the connection matrix T.

Keywords: Network nodes, Message switching Node traffic, Crossbar switch, Conflict elimination, Packet messages, Sparse matrix.

ACM Classification Keywords: C.2.1 Network Architecture and Design, C.4 Performance of Systems

Link:

CLASS OF ALGORITHMS FOR SYNTHESSIS OF NON-CONFLICT SCHEDULE IN COMMUNICATION NODES

Kiril Kolchakov

http://www.foibg.com/ijita/vol20/ijita20-02-p09.pdf

Abstract: The paper describes the conceptual issues of modeling cognitive processes network models at different levels. Describes possible methods construction of intelligent information processing systems based connectionism attitudes and behavior of the human mind. Proposed use of synthesis of hierarchical model based on two approaches: from neuron to concepts.

Keywords: cognitive process, network model, neural networks.

ACM Classification Keywords: I.2 ARTIFICIAL INTELLIGENCE – I.2.6 Learning – Connectionism and neural nets.

Link:

MODELING OF COGNITIVE PROCESSES BY NETWORK MODELS

Sergii Konovalenko

http://www.foibg.com/ijita/vol20/ijita20-02-p08.pdf

Abstract: Pattern recognition problem using properties of parts of a recognizable objects and relations between them is NP-hard. That is why quick recognition of an object with many elements is a difficult problem. To overcome such a difficulty the use of upper bound of steps for an algorithm solving such a problem based on logic-objective approach is suggested. The possibility of the use of Prolog language family for image recognition is investigated. An example of such a problem for which the use of these upper bounds of complexity permits to decrease the time of its solution is presented.

Keywords: pattern recognition, predicate calculus, complexity of algorithms, Prolog language.

ACM Classification Keywords: I.2.4 ARTIFICIAL INTELLIGENCE Knowledge Representation Formalisms and Methods – Predicate logic, I.5.1 PATTERN RECOGNITION Models – Deterministic, F.2.2 Nonnumerical Algorithms and Problems – Complexity of proof procedures.

Link:

EFFICIENT SIMULATION FOR PROLOG IMPLEMENTATION OF IMAGE RECOGNITION PROBLEM

Tatiana Kosovskaya, Maria Vlasova

http://www.foibg.com/ijita/vol20/ijita20-02-p07.pdf

Abstract: This paper draws parallels between speech recognition of one speaker on a limited set of words and recognition of tactile sign language. The paper also provides variant of formation of feature vectors in matrix form for both problems. It is suggested to use ellipsoidal and orthogonal compliance distances.

Keywords: speech and gesture recognition, orthogonal projectors, ellipsoidal distance, pseudoinverse, SVD – decomposition.

ACM Classification Keywords: I.2 Artificial Intelligence, I.4 Image Processing and Computer Vision, I.5 Pattern Recognition, G.1.3 Numerical Linear Algebra.

Link:

MATRIX FEATURE VECTORS IN SPEECH AND GESTURE RECOGNITION

Volodymyr Donchenko, Andrew Golik

http://www.foibg.com/ijita/vol20/ijita20-02-p06.pdf

Abstract: A mathematical notion of a computer program-function for some programming languages (in particular, for some versions of Pascal and Turbo/Visual Prolog) is introduced as a restriction of an algorithm class FP. Such a notion is useful for more adequate formalization of finite memory of computer intended for a program run. Complexity of logic-mathematical properties proof of such program-functions is investigated. A predicate language is introduced to formulate such a partial program properties. P-SPACE-completeness of elementary theories under a finite signature based on such a kind of functions with the use of halting predicate and predicates of conditional equality and conditional inequalities. This allows to use the first order language for description of logic-mathematical properties of computer program-functions by extension of the used programfunctions by means of a special additional value in the case of infinite looping of a program-function. In many cases it allows to replace traditional mathematical notions of an algorithm by the offered notion of a programfunction in the framework of mathematical informatics.

Keywords: programming languages, computer program-function, complexity classes FP, FP-SPACE.

ACM Classification Keywords: F.2.m ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY Miscellaneous.

Link:

ALGORITHMIC DECIDABILITY OF COMPUTER PROGRAM-FUNCTIONS LANGUAGE PROPERTIES

Nikolay Kosovskiy

http://www.foibg.com/ijita/vol20/ijita20-02-p04.pdf

Abstract: In this paper, combined exterior penalty function-conjugate gradient algorithm for a constrained optimal control problem for the coefficients of a quasilinear equation is applied. The constrained optimal control problem has been converted to one of the optimization problem using a penalty function technique. One of the approaches of building the gradient of the modified functional using the solving of the adjoint problem is investigated. A special case of the optimal control problem for the considering problem to illustrate the numerical results is investigated. The computing optimal controls are helped to identify the unknown coefficients of the quasilinear parabolic equation. The numerical results are presented.

Keywords: Optimal control, Quasilinear Parabolic Equation, Existence and Uniqueness Theorems, Adjoint system, Gradient formulae, Exterior penalty function-conjugate gradient algorithm.

ACM Classification Keywords: F.2.1 Numerical algorithm and problems,G.4 Mathematical Software

Link:

A COMBINED EXTERIOR PENALTY FUNCTION – CONJUGATE GRADIENT ALGORITHM FOR A CLASS OF CONSTRAINED OPTIMAL CONTROL QUASILINEAR PARABOLIC SYSTEMS

M. H. Farag and T. A. Talaat

http://www.foibg.com/ijita/vol20/ijita20-02-p03.pdf

Abstract: A solution for program polynomial invariant generation problem is presented. An iteration upper approximation method that was successfully applied on free algebras in this paper was adopted for polynomial ring. Set of invariants is interpreted as an ideal over polynomial ring. Relationship and intersection problems solution are proposed. Intersection of Gröbner basis is applied to solve intersection problem. Inverse obligatory is applied to solve relationship problem.

Keywords: verification theory, invariant generation, polynomial ring.

ACM Classification Keywords: D.2.4 Software/Program Verification: Assertion checkers; F.3.1 Specifying and Verifying and Reasoning about Programs: Invariants; I.2.2 Automatic Programming: Program verification; B.6.3 Design Aids : Verification; D.4.5 Reliability: Verification.

Link:

Program Invariants Generation over Polynomial Ring using Iterative Methods.

Sergii Kryvyi, Oleksandr Maksymets

http://www.foibg.com/ijita/vol20/ijita20-02-p02.pdf

Abstract: Grouping information problem appears in application in two main forms. These are the problem of recovering function, represented by its observations and the problem of classification (clusterization).It is very important for both them which are the ”representatives” of the objects under investigations: scalars, vectors or objects of other kinds. This choice is determined by the math technique can be used for handling with the “representatives”. Using the real valued vectors and Euclidean spaces correspondingly is therefore usual. Development of the technique, including SVD and Moore-Penrose? inversion on the base of special “cortege operators” for Euclidean space of Rmn type, is proposed in the article

Keywords: Feature vectors, information aggregating, generalized artificial neuronets, vector corteges, matrix corteges, linear operator between cortege spaces, Single Valued Decomposition for cortege linear operators.

ACM Classification Keywords: G.2.m. Discrete mathematics: miscellaneous,G.2.1 Combinatorics. G.3 Probability and statistics, G.1.6. Numerical analysis I.5.1.Pattern Recognition H.1.m. Models and Principles: miscellaneous:

Link:

VECTORS AND MATRIXES IN GROUPING INFORMATION PROBLEM

Donchenko V.

http://www.foibg.com/ijita/vol20/ijita20-02-p01.pdf

Abstract: The article considers innovation system modeling by the instrumentality of integrated approach. This approach consists of three main parts: differential equation system and stability analysis, agent-based modeling, «innovation funnel». We have converted our model into a flight simulator where parameters and policies can be varied on the fly and the results are displayed immediately. The model user will be able to propose and vary different strategies: number of technology brokers, share of the educational expenditures in total federal budget, operating effectiveness of technology brokers and so on.

Keywords: agent-based modeling, innovation, innovation funnel, dynamic model simulation, complex system modeling.

ACM Classification Keywords: I.2. ARTIFICIAL INTELLIGENCE: I.2.11. Distributed Artificial Intelligence – Multiagent systems.

Link:

THE DYNAMIC MODEL OF THE INNOVATION FUNNEL INDICATORS AND THEIR TRAJECTORIES

Anatoly Selyaninov, Natalia Frolova

http://www.foibg.com/ijita/vol20/ijita20-02-p05.pdf

Abstract: The basic of the hypothetical non-violent theory of interaction is provided here. Introformational method is proposed to calculate the response to non-violent influence among intellectual property rights underlying the reflex construction of intelligent systems.

Keywords: non-force interaction, introformation, reflex systems, self-organization, information theory.

ACM Classification Keywords: I.2 Artificial Intelligence – Philosophical foundations.

Link:

THEORY OF NON-VIOLENT INTERACTION

Iurii Teslia

http://www.foibg.com/ijita/vol20/ijita20-01-p05.pdf