Abstract: There were considered main approaches, methods and features of energy consumption forecasting and creating program complex of a regional model of environmental of wholesale electricity in Russian federation.

Keywords: modeling and forecasting of energy consumption, the program complex, information-analytical systems, econometric modeling.

ACM Classification Keywords: H. Information Systems. H.4 Information Systems Applications: H.4.2 Types of Systems – Decision support (e.g., MIS).

Link:

PROGRAM COMPLEX OF REGIONAL MODELS OF ELECTRICITY CONSUMPTION FOR THE RUSSIAN FEDERATION

Galina Starkova, Natalia Frolova

http://www.foibg.com/ijita/vol21/ijita21-03-p08.pdf

Abstract: An axiomatic approach to solve the problem of narrowing the Pareto set based on some numerical information regarding preferences of the decision maker is considered. This approach has been developed by the author since 1983. It requires the acceptance of certain four axioms of "reasonable" behavior of the Decision Maker during the decision making process. It is assumed that in addition to the axioms some information regarding the Decision Maker’s preferences (the so-called "quanta" of information) is known. Using this information it is possible to reduce the Pareto set and thereby facilitate subsequent selection of solutions. We analyze a class of multicriteria choice problems for which this approach can be applied, as well as discuss of possible directions for its generalization.

Key words: Pareto set, multicriteria choice, Pareto set reducing

ACM Classification Keywords: F.4.3 – Decision problems

Link:

GENERALIZED AXIOMATIC APPROACH TO THE PARETO SET NARROWING

Vladimir Noghin

http://www.foibg.com/ijita/vol21/ijita21-03-p07.pdf

Abstract: Earlier, in the framework of our previous papers, we introduced a criterion for comparing interval alternatives, which was called the assurance factor. It is based on the balance of chances that hypothesis on preference for one of the compared alternatives is true and the risks associated with the possible truth of the opposite hypothesis. The criterion is dimensionless that is not similar to other criteria used for this purpose. In this paper this criterion and its calculation method are proposed to use for analysis of the most important from a practical point of view problems of forecasting the expected effectiveness of the individual alternatives. Numerical procedures have been developed to calculate the values of the assurance factor in the case of arbitrary distribution on the analyzed interval alternative. Analytical expressions were also found for the uniform and triangular distributions. Comparison of the results was produced for evaluating the expected effectiveness of interval alternatives on the proposed criterion and on base of other evaluation criteria (mean value, Hurwicz criterion). The arguments presented in favor of adequacy of the proposed criterion for problems of forecasting both expected efficiency of interval alternatives and comparison of alternatives on preference. The possibility harmonizing of results comparing alternatives and evaluating their expected efficiency based on Hurwicz criterion and on the assurance factor was considered. Relation of the assurance factor with "pessimism - optimism" coefficient was received. On this basis we analyze the question concerning substantiation of the choice of Hurwicz criterion values. Using ordinal scales in the process of comparing alternatives and evaluating their expected effectiveness on base of the assurance factor is proposed.

Keywords: estimating expected efficiency of interval alternatives, criterion estimating efficiency, comparing different criteria of efficiency

ACM Classification Keywords: H.1.2 Human information processing. G3 Distribution functions. I.2.3 Uncertainty, “fuzzy”, and probabilistic reasoning

Link:

EVALUATING EXPECTED EFFECTIVENESS OF INTERVAL ALTERNATIVES

Abstract: The problem of corporations’ financial analysis and creditability forecasting under uncertainty and risk is considered. The classical scoring method is described. The application of fuzzy neural networks with algorithms of Mamdani and Tsukamoto for enterprises creditability analysis and forecasting is suggested. Fuzzy rules base for NFNs was developed. The experimental investigations of NFNs in the problem creditability forecasting were carried, their efficiency estimated and compared with scoring method.

Keywords: creditability, forecasting, financial analysis, fuzzy neural networks, scoring method

Link:

FINANCIAL ANALYSIS AND CREDIITABILITY ESTIMATION OF BORROWERS - CORPORATIONS UNDER UNCERTAINTY

Yuriy Zaychenko, Ovi Nafas Aghaei Agh Ghamish

http://www.foibg.com/ijita/vol21/ijita21-03-p04.pdf

Abstract: New ant colony optimization algorithm has been investigated. Optimal search tactic and ant decision making criterion have been found.

Keywords: Ant colony optimization algorithm, travelling salesman problem, salesman problem

ACM Classification Keywords: G Mathematics of computing – G.2 Discrete mathematics – G.2.2 Graph theory – Graph algorithms, Network problems; I Computing Methodologies – I.2. Artificial Intelligence – I.2.8 Problem Solving, Control Methods and Search – Graph and tree search strategies

Link:

CRITERIA INVESTIGATIONS IN ANT COLONY OPTIMIZATION ALGORITHM FOR TRAVELLING SALESMAN PROBLEM

Yuriy Zaychenko, Nicholas Murga

http://www.foibg.com/ijita/vol21/ijita21-03-p03.pdf

Abstract: The paper describes an approach to multicriteria choice of computing complex using a multi-stage technology for sequential reducing the dimension of the criteria space. Several hierarchical systems of composite criteria, which aggregate initial characteristics of complex in a single integral index of prospectivity, were built using the methods of verbal decision analysis. The proposed approach allows to simplify the procedure of multicriteria comparisons and choices of options, reduce the complexity of the procedure, select the most preferred option and assess the quality of the selection.

Keywords: multicriteria choice, verbal decision analysis, reducing the dimension of the attribute space, attribute aggregation, integral index, computing complex

ACM ClYsification? Keywords: A.0 General Literature - Conference proceedings

Link:

SELECTION OF COMPUTING COMPLEX BY INTEGRAL IDEX OF PROSPECTIVITY

Alexey Petrovsky, Vasiliy Lobanov, Alla Zaboleeva-Zotova?, Tatiana Shitova

http://www.foibg.com/ijita/vol21/ijita21-03-p02.pdf

Abstract: Proposed in this paper the method for finding related concepts in domain can improve the quality of automatically generated ontologies. The method can be efficiently used for tasks of semantic search systems analysis of electronic texts and automatic creation of ontological domain models.

Keywords: related concepts, ontology, morphological properties of words, automatically generated ontologies, domain

ACM Classification Keywords: I.2 Artificial Intelligence - I.2.4 Knowledge Representation Formalisms and Methods

Link:

CREATING SET OF RELATED CONCEPTS FOR AUTOMATIC ONTOLOGY SYNTHESIS

Larysa Chala, Anton Chizhevskyi

http://www.foibg.com/ijita/vol21/ijita21-03-p01.pdf

Abstract: The purpose of the paper is to comprehensively characterize the implementation and the current use of electronic health records (EHRs) in Poland. The paper presents the conception of the management of patient information in Polish health care system. In this paper author presents the assumptions of the strategies of implementing IT systems in the health protection sector in Poland. It contains a review of IT systems dedicated for health care centers. The author described a system of electronic medical records, taking into account governmental plans for implementing the Health Insurance Card and Polish.ID systems, as well as the Electronic Verification of Beneficiary Entitlements (EVBE) system being implemented by Polish government. The project of the EVBE system is a newest part of Polish health care system. The paper presents also an example of electronic European Health Insurance Card system to management of patient information in Polish health care system supported by the EVBE. European Health Insurance Card was created as a response to the necessity of verification of a patient in the European Union and in the countries of the Schengen area. The aim of the article is to describe the difference between the public electronic patient record system in Poland and the private IT systems dedicated for health care centres. The author described a system of electronic medical report, taking into account governmental plans for implementing the Health Insurance Card and pl.ID systems, as well as e- Prescription system being implemented by the Centre for Health Information Systems.

Keywords: IT systems in health care, electronic health insurance card, health informatics, electronic medical records.

ACM Classification Keywords: K6: management of computing and information systems

Link:

THE MANAGEMENT OF PATIENT INFORMATION IN POLISH HEALTH CARE SYSTEM

Anna Sołtysik-Piorunkiewicz?

http://www.foibg.com/ijita/vol21/ijita21-02-p08.pdf

Abstract: Classification and feature selection techniques are among the most commonly used mathematical approaches for analysis and interpretation of biological data. One of the important characteristics of any classifier is its classification error, which is important to take into consideration for accurate data analysis. The most popular error estimation techniques (resubstitution, bootstrapping, cross-validation) strikingly vary in performance. It is well known that more accurate classifiers such as bootstrapping, cross-validation are very slow, while heavily biased resubstitution is very fast. Recently, a new bolstered error estimation technique has been proposed that optimally combines speed and accuracy. It uses a Monte-Carlo? sampling based algorithm for classification for the general case, but for the case of linear classification, an analytical solution may be applied. In this paper we introduce geometric approach for bolstered error estimation and compare its performance with other error estimation algorithms. The results obtained show that geometric bolstered error estimation algorithms are very fast error estimation techniques characterized by accuracy comparable with LOO and having lower variance. These algorithms are useful for analyzing extremely large numbers of features and may find their applications in wide fields of - omics data analysis.

Keywords: Biology and genetics, Classifier design and evaluation, Machine learning.

ACM Classification Keywords: A.0 General Literature - Conference proceedings, I.5.2 – Classifier design and evaluation, Feature evaluation and selection. J.3 - Biology and genetics

Link:

GEOMETRIC APPROACH FOR GAUSSIAN-KERNEL BOLSTERED ERROR ESTIMATION FOR LINEAR CLASSIFICATION IN COMPUTATIONAL BIOLOGY

Arsen Arakelyan, Lilit Nerisyan, Aram Gevorgyan, Anna Boyajyan

Abstract: The paper considers the issues and highlighted the development of information technology processing of information of customs control, which uses effective methods and tools to identify risks of violation of customs legislation. It was suggested take a holistic mechanism for the preparation, processing and interpretation of the results. The proposed information technology will increase the efficiency of the automated system of analysis and risk management Customs Service of Ukraine.

Keywords: customs control, risk management, neural networks

ACM Classification Keywords: I.5 Pattern Recognition – I.5.1 Models – Neural nets Introduction

Link:

INFORMATION TECHNOLOGY OF PROCESSING INFORMATION OF THE CUSTOMS CONTROL

Borys Moroz, Sergii Konovalenko

http://www.foibg.com/ijita/vol21/ijita21-02-p06.pdf

Abstract: Conventional methods in multilateral drilling processes incorporate magnetometer-based surveying systems for determining the position and attitude of the bottomhole assembly (BHA). Magnetic surveying results in an increased weight of the BHA, higher cost due to shielding with bulky nonmagnetic collars and, more importantly, severely degraded performance due to unavoidable geomagnetic interferences such as metal and ore deposits in the vicinity. Micro-Electromechanical? Systems (MEMS) based Inertial Navigation Systems (INS) have been proposed as an alternative to magnetic surveying for multilateral drilling. Previous studies have shown theoretically and experimentally that a Kalman filter-based In-Drilling? Alignment (IDA) and its minimized version Rotary In-Drilling? Alignment (R-IDA) successfully limit the accumulated error growth associated with the INS, compared to the traditional zero-velocity update (ZUPT) alignment method. A high performance wireless MEMSbased INS has been proposed for R-IDA alignment, the implementation simplicity and high accuracy of which could be very useful in multilateral drilling processes. Furthermore, this paper discusses the concept of wireless data transmission within drill pipes downhole in comparison to other existing or emerging methods. It is shown that wireless telemetry inside the drill pipes is potentially capable of transmitting up to 250,000 bits per second (bits/sec) with high reliability and low power consumption, which makes a drill string based local network for realtime downhole monitoring and control applications feasible.

Keywords: Multilateral drilling design, wireless data transmission, downhole instrumentation, rotary In-Drilling? Alignment.

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

Link:

WIRELESS DATA TRANSMISSION OPTIONS IN ROTARY IN-DRILLING ALIGNMENT(R-IDA) SETUPS FOR MULTILATERAL OIL DRILLING APPLICATIONS

Zhenhua Wang, Tao Li, Myles McDougall?, Dan McCormack?, Martin P. Mintchev

http://www.foibg.com/ijita/vol21/ijita21-02-p05.pdf

Abstract: In the paper wavelets expansions of random processes are studied. The matter is that although it is enough information for wavelets expansions of deterministic functions, for random processes such theory is weak and it should be developed. The paper investigates uniform convergence of wavelet expansions of Gaussian random processes. The convergence is obtained under simple general conditions on processes and wavelets which can be easily verified. Applications of the developed technique are shown for several wavelet bases. So, conditions of uniform convergence for Battle-Lemarie? wavelets and Meyer wavelets expansions of Gaussian random processes are presented. Another useful in various computational applications thing is the rate of convergence, especially if we are interested in the optimality of the stochastic approximation or the simulations. An explicit estimate of the rate of uniform convergence for Battle-Lemarie? wavelets and Meyer wavelets expansions of Gaussian random processes is obtained and compared.

Keywords: random processes, wavelets expansion, uniform convergence, Battle-Lemarie? wavelets, Meyer wavelets, Gaussian processes.

ACM Classification Keywords: G.3 Probability and Statistics - Stochastic processes

Link:

COMPARISON OF DIFFERENT WAVELET BASES IN THE CASE OF WAVELETS EXPANSIONS OF RANDOM PROCESSES

Olga Polosmak

http://www.foibg.com/ijita/vol21/ijita21-02-p04.pdf

Abstract: Forrester´s model (FM) is a system of nonlineal differential equations constructed at far 70-s. Since that time FM remains a classical example of applications of system dynamics principles. This paper shortly describes the theory, algorithms and program WorldDyn? for end-users being interested to meet themselves with FM. Moreover the program allows to model undefiniteness presented in the form of additive or multiplicative noise. By the moment there is no any free-share software having these possibilities.

Keywords: Forrester model, numerical analysis, noise-immunity, applied software.

Link:

WORLDDYN AS THE TOOL FOR STUDY OF WORLD DYNAMICS WITH FORRESTER’S MODEL: THEORY, ALGORITHMS, EXPERIMENTS

Olga Proncheva

http://www.foibg.com/ijita/vol21/ijita21-02-p03.pdf

Abstract: Mathematical models of N-finite (N  2) (especially for N= 216 typical for IBM-compatible personal computers) real, integer or Boolean valued computations are proposed in the frameworks of a finite-discrete mathematics. Such a mathematical model more precisely characterizes the contemporary practice of the computer use. Notions of an N-finite RAM (Random Access Machine), an N-finite RASP (Random Access Machine with Stored Program) and an N-finite Pascal program using integer operations modulo N with the reminders from the segment –N/2, N/2 – 1 + (N mod 2) are introduced. A formal N-finite quantifier logic language of modulo N arithmetic operations is defined. It allows formulating mathematical properties of such a non-recursive total Pascal function or predicate. It is proved that the problem of a formula identical truth in such a language containing arithmetic operations modulo N is a P-SPACE-complete one. So, the proof of a correctness of a non-recursive total Pascal program may be simplified with the use of the proposed language.

Keywords: P-SPACE-completeness, RAM, RASP, Pascal, correctness of a Pascal program.

ACM Classification Keywords: F.2.m Analysis of Algorithms and Problem Complexity Miscellaneous.

Link:

A LANGUAGE USING QUANTIFIERS FOR DESCRIPTION OF ASSERTIONS ABOUT SOME NUMBER TOTAL PASCAL FUNCTIONS

Nikolay Kosovskii

http://www.foibg.com/ijita/vol21/ijita21-02-p02.pdf

Abstract: The reliability and the cost of electronic circuits are closely connected to the maximum power dissipated by them. Tools for evaluating the worst case power consumption of sequential circuits is becoming a primal concern for designers of low-power circuits. In the paper the task of estimation of peak sustainable power for CMOS synchronous sequential circuit is considered when its automaton description in the form of Finite State Machine (FSM) is available. The method is based on finding out the simple directed cycles of FSM state transition graph closely related with test sequences for simulating the sequential circuit for sustainable power estimation.

Keywords: low-power design, power consumption, CMOS circuits, peak power estimation.

ACM Classification Keywords: B.6.1 Logic design: Design Style – Sequential circuits; B.7.3 Integrated Circuits: Reliability and Testing – Test Generation

Link:

ESTIMATION OF PEAK SUSTAINABLE POWER CONSUMPTION FOR SEQUENTIAL CMOS CIRCUITS

Liudmila Cheremisinova, Arkadij Zakrevskij

http://www.foibg.com/ijita/vol21/ijita21-01-p10.pdf

Abstract: We offer a definition for that elusive term, “order”. Order so much directs our perception, cognition and intellect that we should take a look at the infrastructure of how the human mind builds up its view of the world. Order is shown to be a combined statement about properties of things and how they are placed. The interdependence between “where” and “what” has been split for processing by the brain due to evolutionary pressure. Similarity is neurologically preferred above the properties of dissimilarities and is used as an intercultural tool of communication. We present a model that combines place and property attributes and integrates the dissimilarity properties of the present state of the world to the alternatives. We re-introduce the differences that we were instructed to ignore while we have learnt basic dexterity with numbers. We influence, and encourage dissolving, a deep-seated posthypnotic suggestion of culture: “The foreground, the similarities are important.”

Keywords: artificial intelligence, theoretical physics, indexed, multi-valued logical statements; stepwise additivity of {.t.|.f.}; accounting concepts in arithmetic procedures; concurrent usage of logical operators; consolidation among contradicting sentences, Minkowski space model.

Link:

ESSAY ON ORDER

Karl Javorszky

http://www.foibg.com/ijita/vol21/ijita21-01-p09.pdf

Abstract: This article presents the details and the results of the application of a 'soft' model for astronomical dating of the seven eclipses mentioned in the Chronicle of Hydatius, for the time interval (600, 1000), i.e. since 600 AD till 1000 AD. The analysis of the date shows, that in the interval (600, 1000) the following two septets (i.e. groups of seven) of eclipses are the best candidates for dating of the eclipses mentioned in the Chronicle of Hydatius: I. Septet: 923-Nov-11, 939-Jul-19, 968-Dec-22, 972-Sep-25, 978-Jun-08, 983-Mar-01, 985-Jul-20. II. Septet: 923-Nov-11, 939-Jul-19, 968-Dec-22, 991-Sep-26, 978-Jun-08, 983-Mar-01, 985-Jul-20.

Keywords: Chronicle of Hydatius, astronomical dating, eclipses, soft model, fuzzy information.

ACM Classification Keywords: I.5 PATTERN RECOGNITION; I.5.1 Models

Link:

MODEL FOR ASTRONOMICAL DATING OF THE CHRONICLE OF HYDATIUS: RESULTS FOR THE INTERVAL (600-1000)

Jordan Tabov

http://www.foibg.com/ijita/vol21/ijita21-01-p08.pdf

Abstract: In this paper the problem decision technology for resque technics acquisition with use multiobjective optimization, method of the variant's consecutive analysis and evolutionary modeling is considered. Models, serving information-analytical base of the integral objective forming, is suggested.

Keywords: evolutionary modeling, objective function, rescue technics.

ACM Classification Keywords: I.2 Artificial Intelligence, H.4 Information Systems Applications, J.6 Computer-aided Engineering

Link:

PROBLEM AND MATHEMATICAL MODELS FOR RESCUE TECHNICS ACQUISITION

Vitaliy Snytyuk, Pavlo Kucher

http://www.foibg.com/ijita/vol21/ijita21-01-p07.pdf

Abstract: The problem of assessing the creditworthiness of the borrower is considered. The application of fuzzy neural networks for this problem solution, fuzzy neural networks TSK and Mamdani was suggested. The experimental investigations of application of these networks for our task were carried out and comparison with classical methods was performed. The modification of adaptation and learning algorithms of fuzzy neural networks was suggested.

Keywords: fuzzy neural networks, credit rating, fuzzy logic

ACM Classification Keywords: H.4 Information systems applications; H.4.2. Types of Systems Decision Support

Link:

FUZZY NEURAL NETWORKS FOR EVALUATING THE CREDITWORTHINESS OF THE BORROWERS

Natalia Shovgun

http://www.foibg.com/ijita/vol21/ijita21-01-p06.pdf

Abstract: This paper covers approach to obtaining geometrical characteristics, in particular defects, for gesture shown in front of web camera. Variant of standardization of defect`s structure is suggested. The paper provides detailed algorithm that allows obtaining standardized feature vector for defect of any size and structure. It is suggested to use obtained feature vectors for recognition of tactile sign language.

Keywords: gesture recognition, defects, standardization, normalization, tactile sign language.

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:

STANDARDIZATION OF GEOMETRICAL CHARACTERISTICS IN GESTURE RECOGNITION

Andrew Golik

http://www.foibg.com/ijita/vol21/ijita21-01-p05.pdf

Abstract: The problem of classification, clusterization or patterns recognition is one the manifestation of grouping information problem (GIP) in applied researching. It involves, beside mentioned above, the problem of recovering function, represented by empirical data (observations). Solutions of GIP largely depend of on the choice of ”math representatives” of the objects under investigation. It`s usual to use a collection of real valued characteristics – “feature vector”, in classification form of the GIP. Feature vector is in the essence a vector from Euclidean space n R . This choice is due to the highly advanced ties - and correspond techniques- in mathematical structure of such type. This technique includes, particularly, spectrum of linear operator (SVD), Moore-Penrose? inversion, orthogonal projectors operators for fundamental subspaces of the linear operator, Grouping operators and so on. Euclidean spaces m n R  of all matrixes of fixed dimension are natural spaces of “representatives” for a great many important applied fields of investigations: speech recognition, image processing and so on. In the paper SVD and Moore – Penrose technique for m n R  , proposed and developed in the earlier paper of the authors published in 2012 is used for formulating and solution of linear discrimination of two classes, represented by matrix learning samples.

Keywords: Feature vectors, information aggregating, matrix corteges, matrix corteges operators, Single Valued Decomposition for cortege linear operators, linear discrimination.

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

Link:

MATRIX “FEATURE VECTORS” IN GROUPING INFORMATION PROBLEM: LINEAR DISCRIMINATION

Volodymyr Donchenko, Fedir Skotarenko

http://www.foibg.com/ijita/vol21/ijita21-01-p04.pdf

Abstract: Cloud computing is internet based computing that allows client computers to access shared resources, software, and information from servers on the web/cloud. Health informatics technology describes the use of computer information systems to manage the patients’ electronic health records based on electronic health record. The advent of cloud computing technology provides effective and dependable results to support healthcare services. The cloud technology reduces these costs for consumers and IT by improving clinical and quality outcomes for patients. This paper discusses the potential rule of the cloud technology in healthcare informatics. In addition, it presents the global challenges and technical difficulties which are facing this new technology.

Keywords: Cloud Computing, Healthcare Informatics, Cloud Challenges, Health Cloud Technology.

Link:

ADVENT OF CLOUD COMPUTING TECHNOLOGIES IN HEALTH INFORMATICS

Omer K. Jasim, Safia Abbas, El-Sayed? M. El-Horbaty?, Abdel-Badeeh? M. Salem

http://www.foibg.com/ijita/vol21/ijita21-01-p03.pdf

Abstract: In this paper we introduce a new method for the binary encoding of metabolic pathways. Our method assigns a 5-bit word to the functional groups of the molecules or metabolic intermediates, sorting the functional groups by its redox potential. We illustrate our approach modelling two very well known metabolic pathways, glycolysis and the Krebs cycle, showing how sugars and other glycolytic molecules could be modeled as binary matrices as well as LED dot matrices. The method enables the design of 'metabolic hardware' which may be useful in the study of the optimization of metabolic pathways as well as in the area of molecular and natural computing.

Keywords: molecular topology representation, computational chemistry, biosinpired architectures, molecular computing.

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

Link:

A NEW METHOD FOR THE BINARY ENCODING AND HARDWARE IMPLEMENTATION OF METABOLIC PAHTWAYS

Carlos Recio Rincon, Paula Cordero, Juan Castellanos, Rafael Lahoz-Beltra?

http://www.foibg.com/ijita/vol21/ijita21-01-p02.pdf

Abstract: The main goal of this article is set to demonstrate how collective intelligence application software works and can be used for advertising purposes. Following this objective, it is aimed to optimize advertising in (social) media for a company or enterprise by using collective intelligence software. To this end, the Wisdom Professional software from MicroStrategy? Company is utilized to derive required information. These data are kind of raw data that are derived from the information of Facebook users that are collected in Wisdom Professional. Wisdom Professional includes Facebook information of millions of people such as demographic, geographic, psychographic information and so on. The information of Facebook users in Wisdom Professional are considered to be representative information of the whole population in a sense that what is observed in this sample (i.e. Facebook users in Wisdom Professional) can be extended and generalized for the whole customer population. The data derived from Wisdom Professional are further processed by means of different methods to demonstrate the best possible advertisement options for a specific enterprise. The two utilized methods are Popularity oriented and lift factor methods. The results of analyses reveal that both methods provide with reliable and consistent outcome. As for the application part of this article, Coca-Cola? Company is considered to be the chosen case study. Coca Cola fans’ information are analyzed in Wisdom Professional to provide best possible advertising channels that this company could benefit by advertising its product in those channels.

Keywords: collective intelligence, Wisdom Professional, advertising, social media

ACM Classification Keywords: H.4.2 Information Systems Applications - Types of Systems - Decision support

Link:

ANALYZING THE COLLECTIVE INTELLIGENCE APPLICATION SOFTWARE “WISDOM PROFESSIONAL” FOR ADVERTISING IN (SOCIAL) MEDIA, CASE STUDY: COCA-COLA

Elham Fayezioghani, Koen Vanhoof

http://www.foibg.com/ijita/vol21/ijita21-01-p01.pdf

Аннотация: В работе на основе линейной производственной функции предложена и исследована модель оптимального экономического роста, учитывающая физический капитал, а также интеллектуальный капитал как адитивную часть трудового ресурса. Изучен вопрос существования магистральной траектории и переходной динамики.

Ключевые слова: модель экономического роста, линейная производственная функция, инвестирование физического капитала, инвестирование интеллектуального капитала, магистральная траектория, переходная динамика.

ACM Classification Keywords: H.1 Models and Principles

Link:

МОДЕЛЬ ОПТИМАЛЬНОГО ЭКОНОМИЧЕСКОГО РОСТА С ЛИНЕЙНОЙ ПРОИЗВОДСТВЕННОЙ ФУНКЦИЕЙ ФИЗИЧЕСКОГО И ИНТЕЛЛЕКТУАЛЬНОГО КАПИТАЛОВ

Игорь Ляшенко, Юрий Тадеев

http://www.foibg.com/ijitk/ijitk-vol07/ijitk07-03-p12.pdf