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

Keywords: formatting rules

ACM Classification Keywords: J. Computer application - Manufacturing

Link:

VISUALIZATION OPTIONS OF ASSEMBLY PROCEDURE

Jana Jedináková, Marek Kočiško, Slavomír Gajdarik

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

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

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

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

Link:

APPLICATION OF ARTIFICIAL INTELLIGENCE TOOLS TO THE CLASSIFICATION OF STRUCTURAL MODULES

Galina Setlak, Tomasz Kożak

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

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

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

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

Link:

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

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

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

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

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

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

Link:

TELEOPERATION AND SEMIAUTONOMY MOVEMENT MODES OF IBIS ROBOT

Piotr Bigaj, Maciej T. Trojnacki, Jakub Bartoszek

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

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

Keywords: Knowledge base, Data mining,

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

Link:

PRESENTATION OF PRODUCTION ORIENTED DATA AND KNOWLEDGE

Arkadiusz Rzucidło

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

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

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

ACM Classification Keywords: Economics, Management

Link:

REALIZATION OF INTERDISCIPLINARY LINKS BETWEEN DISCIPLINES CONNECTED TO INFORMATION TECHNOLOGIES

Marina Solovey

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

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

Keywords: planning experience, knowledge-based economy,

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

Link:

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

Dorota Dejniak, Monika Piróg-Mazur?

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

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

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

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

Link:

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

Anatolij Krissilov, Viacheslav Chumachenko

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

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

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

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

Link:

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

Tatjana Bilevičienė, Eglė Bilevičiūtė

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

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

Keywords: information system, application development, Petri nets

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

Link:

SYSTEM OF SOFTWARE PRODUCTION MANAGEMENT

Galina Setlak, Sławomir Pieczonka

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

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

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

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

Link:

SOFTWARE DEVELOPMENT PROCESS DYNAMICS MODELING AS STATE MACHINE

Leonid Lyubchyk, Vasyl Soloshchuk

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

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

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

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

Link:

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

Jakieła Jacek, Litwin Paweł, Olech Marcin

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

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

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

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

Link:

CONCEPTUAL MODEL OF DECISION SUPPORT SYSTEM IN A MANUFACTURING ENTERPRISE

Monika Piróg-Mazur?, Galina Setlak

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

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

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

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

Link:

HYBRID SYSTEMS OF COMPUTATIONAL INTELLIGENCE EVOLVED FROM SELFLEARNING SPIKING NEURAL NETWORK

Yevgeniy Bodyanskiy, Artem Dolotov

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

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

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

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

Link:

FUZZY ARTMAP NEURAL NETWORKS FOR COMPUTER AIDED DIAGNOSIS

Anatoli Nachev

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

Abstract: The paper enlightens the following aspects of the problem of scientific research effectiveness: it formulates the main problem of growth of the scientific research efficiency; reveals the most essential attributes of scientific knowledge limiting the area of optimum existence for professional scientists’ work efficiency; reveals the hierarchy of problem situations on a way to growth of scientists’ work efficiency; defines and grounds the solution of the above-mentioned problem situations. As well the given paper investigates efficiency of the chosen way.

Keywords: scientific researches, the canonical form of knowledge, integral knowledge, cognition, knowledge processing system.

ACM Classification Keywords: A.0 General Literature; J.4 Social and Behavioral Sciences; М.4 Intelligence Metasynthesis and Knowledge Processing in Intelligent Systems

Link:

THE PROBLEM OF SCIENTIFIC RESEARCH EFFECTIVENESS

Alexander F. Kurgaev, Alexander V. Palagin

http://foibg.com/ijita/vol17/ijita17-1-p10.pdf

Abstract: This study models a transcutaneous energy transmission system which can supply DC power to an implanted device without an external battery. The goals of the study are to: (1) develop a model to describe the transcutaneous energy transmission system; and (2) use the developed model to design a transcutaneous energy transmission system for an implantable gastrointestinal neurostimulator. The complete trancutaneous energy system includes a power amplifier, a highly inductive coupling structure, and an ac-to-dc rectifying circuit in the receiver. Power amplification is based on the single-ended class E amplifier concept. The power amplification stage is self-oscillating, and the oscillation frequency is influenced by the coupling of the coils. The highly inductive coupling structure employs the stage tuning concept. Design methods and detailed analysis are provided. The proposed model is verified through the implementation of the design.

Keywords: computer modeling, neurostimulation, gastrointestinal disorders

Link:

MODELING OF TRANSCUTANEOUS ENERGY TRANSFER SYSTEM FOR AN IMPLANTABLE GASTROINTESTINAL STIMULATION DEVICE

Joanna Liu C. Wu, Martin P. Mintchev

http://foibg.com/ijita/vol17/ijita17-1-p09.pdf

Abstract: As one of the most successful applications of image analysis and understanding, face recognition has recently gained significant attention. Over the last ten years or so, it has become a popular area of research in computer vision and one of the most successful applications of image analysis and understanding. A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database. Biometric face recognition, otherwise known as Automatic Face Recognition (AFR), is a particularly attractive biometric approach, since it focuses on the same identifier that humans use primarily to distinguish one person from another: their “faces”. One of its main goals is the understanding of the complex human visual system and the knowledge of how humans represent faces in order to discriminate different identities with high accuracy. Human face and facial feature detection have attracted a lot of attention because of their wide applications, such as face recognition, face image database management and human-computer interaction. So it is of interest to develop a fast and robust algorithm to detect the human face and facial features. This paper describes a visual object detection framework that is capable of processing images extremely rapidly while achieving high detection rates.

Keywords: Haar-like features, Integral Images, LEM of image- Line Edge Map, Mask size

Link:

DECREASING VOLUME OF FACE IMAGES DATABASE AND EFFICIENT FACE DETECTION ALGORITHM

Grigor A. Poghosyan and Hakob G. Sarukhanyan

http://foibg.com/ijita/vol17/ijita17-1-p08.pdf

Abstract: One of the main problems in the statistical analysis of Evolutionary Computation (EC) experiments is the ‘statistical personality’ of data. A main feature of EC algorithms is the sampling of solutions from one generation to the next. Sampling is based on Holland’s schema theory, having a greater probability to be chosen those solutions with best-fitness (or evaluation) values. In consequence, simulation experiments result in biased samples with non-normal, highly skewed, and asymmetric distributions. Furthermore, the main problem arises with the noncompliance of one of the main premises of the central limit theorem, invalidating the statistical analysis based on the average fitness of the solutions. In this paper, we address a tutorial or ‘How-to’ explaining the basics of the statistical analysis of data in EC. The use of nonparametric tests for comparing two or more medians combined with Exploratory Data Analysis is a good option, bearing in mind that we are only considering two experimental situations that are common in EC practitioners: (i) the performance evaluation of an algorithm and (ii) the multiple experiments comparison. The different approaches are illustrated with different examples (see http://bioinformatica.net/tests/survey.html) selected from Evolutionary Computation and the related field of Artificial Life.

Keywords: Evolutionary Computation, Statistical Analysis and Simulation.

ACM Classification Keywords: G.3 PROBABILITY AND STATISTICS

Link:

A SURVEY OF NONPARAMETRIC TESTS FOR THE STATISTICAL ANALYSIS OF EVOLUTIONARY COMPUTATIONAL EXPERIMENTS

Rafael Lahoz-Beltra?, Carlos Perales-Gravan?

http://foibg.com/ijita/vol17/ijita17-1-p07.pdf

Abstract: In education it is very important for both users and teachers to know how much the student has learned. To accomplish this task, GRAPHs (the eMathTeacher-compliant tool that will be used to simulate Dijkstra’s algorithm) generates an interaction log that will be used to assess the student’s learning outcomes. This poses an additional problem: the assessment of the interactions between the user and the machine is a time-consuming and tiresome task, as it involves processing a lot of data. Additionally, one of the most useful features for a learner is the immediacy provided by an automatic assessment. On the other hand, a sound assessment of learning cannot be confined to merely counting the errors; it should also take into account their type. In this sense, fuzzy reasoning offers a simple and versatile tool for simulating the expert teacher’s knowledge. This paper presents the design and implementation of three fuzzy inference systems (FIS) based on Mamdani’s method for automatically assessing Dijkstra’s algorithm learning by processing the interaction log provided by GRAPHs.

Keywords: Algorithm Simulation, Algorithm Visualization, Active and Autonomous Learning, Automatic Assessment, Fuzzy Assessment, Graph Algorithms.

ACM Classification Keywords: I.2.3 Artificial Intelligence: Deduction and Theorem Proving - Answer/reason extraction; Deduction (e.g., natural, rule-based); Inference engines; Uncertainty, "fuzzy," and probabilistic reasoning. K.3.2 Computers and Education: Computer and Information Science Education – computer science education, self-assessment. G.2.2 Discrete Mathematics: Graph Theory – graph algorithms, path and circuit problems.

Link:

A MAMDANI-TYPE FUZZY INFERENCE SYSTEM TO AUTOMATICALLY ASSESS DIJKSTRA’S ALGORITHM SIMULATION

Gloria Sánchez–Torrubia?, Carmen Torres–Blanc?

http://foibg.com/ijita/vol17/ijita17-1-p06.pdf

Abstract: In this paper we investigate the problem of reliable and efficient data transmission over rapidly changing communication channels. A typical example of such channel would be high-speed free space optical communication channel under various adverse atmospheric conditions, such as turbulence. We propose a new concept of developing an error correcting coding scheme in order to achieve an extremely reliable communication through atmospheric turbulence. The method is based on applying adaptive error correcting codes to recover lost information symbols caused by fading due to turbulent channel.

Keywords: error correcting codes.

ACM Classification Keywords: E.4 CODING AND INFORMATION THEORY.

Link:

ADAPTIVE CODING SCHEME FOR RAPIDLY CHANGING COMMUNICATION CHANNELS

Gurgen Khachatrian

http://foibg.com/ijita/vol17/ijita17-1-p05.pdf

Abstract: The new pattern recognition method is represented that is based on collective solutions by systems of metric regularities. Unlike previous methods based on voting by regularities discussed technique does not include any constraints on geometric shape of regularities. Metric regularities searching is reduced to connected components calculating in special contiguity graph. Methods incorporate statistical validation of found metric regularities with the help of permutation test.

Keywords: pattern recognition, metric regularities, permutation test

ACM Classification Keywords: I.5 Pattern Recognition; I.5.2 Design Methodology – Classifier design and evaluation

Link:

THE ALGORITHM BASED ON METRIC REGULARITIES

Maria Dedovets, Oleg Senko

http://foibg.com/ijita/vol17/ijita17-1-p04.pdf

Abstract: The three-dimensional computer graphics claimed today in many fields of the person activity: producing of computer games, TV, animation, advertise production, visualization systems of out-of-cockpit environment for transport simulators, CAD systems, scientific visualization, computer tomography etc. Especially high are requirements for realism of generated images. Realism rising leads to image detail increasing, necessity of shadows and light sources processing, the account of an environment transparency, generation of various special effects. Therefore in the field of a computer graphics researches are intensively conducted for the purpose of development of as much as possible effective models for three-dimensional scenes and fast methods of realistic image synthesis on their basis. One of the most promising methods is a ray tracing. The method provides possibility of synthesis of high realistic images; however it demands the large computational cost for the realization. The cloud synthesis model for a ray tracing is described. The model is directed to a real time graphics and allows raising realism of the synthesized image. Advantages of proposed model are the ability of working with cloud on different levels of detail, availability of bounding surfaces inside of cloud structure that allows to increase efficiency of an image synthesis algorithm, ease of cloud animation. Due to the great flexibility of a cloud model and high performance of its visualization algorithm these results can be used in real time visualization systems.

Keywords: cloud, procedural modeling, ray tracing, sphere, visualization algorithm.

ACM Classification Keywords: I.3.5 Computational Geometry and Object Modeling.

Link:

MATHEMATICAL MODEL OF THE CLOUD FOR RAY TRACING

Andrii Ostroushko, Nataliya Bilous, Andrii Bugriy, Yaroslav Chagovets

http://foibg.com/ijita/vol17/ijita17-1-p03.pdf

Abstract: Transformation of data structures into natural numbers using the classical approach of gödelization process can be a very powerful tool in order to encode some properties of data structures. This paper presents some introductory ideas in order to study tree data structures under the prism of Gödel numbers, and presents a few examples of using this approach to trees.

Keywords: Data structures, Trees, Gödelization

ACM Classification Keywords: E.1 Data Structures - Trees

Link:

REPRESENTING TREE STRUCTURES BY NATURAL NUMBERS

Carmen Luengo, Luis Fernández, Fernando Arroyo

http://foibg.com/ijita/vol17/ijita17-1-p02.pdf

Abstract: The paper addresses issues of special style structuring of learning set in pattern recognition area. Above the regular means of ranking of objects and properties, which also use the structure of learning set, the logic separation hypotheses is treated over the multi value features area, which structures the learning set and tries to recover more valuable relations for better recognition. Algorithmically the model is equivalent to constructing the reduced disjunctive normal form of Boolean functions. The multi valued case which is considered is as harder as the binary case but it uses approximately the same structures.

Keywords: Learning, Boolean function, logic separation.

ACM Classification Keywords: F.2.2 Nonnumerical Algorithms and Problems: Computations on discrete structures

Link:

ON STRUCTURAL RECOGNITION WITH LOGIC AND DISCRETE ANALYSIS

Levon Aslanyan, Hasmik Sahakyan

http://foibg.com/ijita/vol17/ijita17-1-p01.pdf