Abstract: Classifications of (v, k, 1) cyclic difference families (CDFs) by other authors are known for k = 3 and v  57, k = 4 and v  64, k = 5 and v  65, k = 6 and v = 91 and k = 7 and v = 91. In this work we construct all inequivalent (v, k, 1) CDFs (respectively all multiplier inequivalent cyclic 2-(v, k, 1) designs) with k  11 and some small v by a computer search and an algorithm similar to the one applied for the classification of optimal orthogonal codes in our previous works. We obtain the same number of inequivalent CDFs for all the parameters, for which previous classification results are known. The new parameters covered by our software for k  7 are (61, 3, 1), (73, 4, 1), (76, 4, 1), (81, 5, 1), and (85, 5, 1) CDFs.

Keywords: cyclic difference set, Steiner triple system, optical orthogonal code

ACM Classification Keywords: Algorithms

Link:

CLASSIFICATION RESULTS FOR (v, k, 1) CYCLIC DIFFERENCE FAMILIES WITH SMALL PARAMETERS

Tsonka Baicheva, Svetlana Topalova

http://www.foibg.com/ibs_isc/ibs-25/ibs-25-p02.pdf

Abstract: We study differential-geometrical structure of an information manifold equipped with a divergence function. A divergence function generates a Riemannian metric and furthermore it provides a symmetric third-order tensor, when the divergence is asymmetric. This induces a pair of affine connections dually coupled to each other with respect to the Riemannian metric. This is the arising emerged from information geometry. When a manifold is dually flat (it may be curved in the sense of the Levi-Civita? connection), we have a canonical divergence and a pair of convex functions from which the original dual geometry is reconstructed. The generalized Pythagorean theorem and projection theorem hold in such a manifold. This structure has lots of applications in information sciences including statistics, machine learning, optimization, computer vision and Tsallis statistical mechanics. The present article reviews the structure of information geometry and its relation to the divergence function. We further consider the conformal structure given rise to by the generalized statistical model in relation to the power law.

Keywords: divergence, information geometry, dual affine connection, Bregman divergence, generalized Pythagorean theorem

ACM Classification Keywords: G.3 PROBABILITY AND STATISTICS

Link:

DIFFERENTIAL GEOMETRY DERIVED FROM DIVERGENCE FUNCTIONS: INFORMATION GEOMETRY APPROACH

Shun-ichi Amari

http://www.foibg.com/ibs_isc/ibs-25/ibs-25-p01.pdf

Résumé: An approach for researching fingers' movement with an aim to create a formal notion of sign language fingerspelling units (dactyls) is considered. Then an informational parametric model of a human arm is suggested that describes possible movements during fingerspelling process. 10 fingerspelling alphabets are analyzed mutually compared for exact and partial similarity as well as notable distinctions. The example of a .Net-based software application is then provided that teaches proper Ukrainian fingerspelling.

Keywords: fingerspelling alphabet, specification, model of human movements.

ACM Classification Keywords: I.2.8 Problem Solving, Control Methods, and Search H.1.1 Systems and Information

Link:

INFORMATIONAL-PARAMETRIC MODEL OF SIGN LANGUAGE FINGERSPELLING UNITS

Iurii Krak, Bogdan Trotsenko, Julia Barchukova

http://foibg.com/ijitk/ijitk-vol05/ijitk05-4-p06.pdf

Abstract: Estimating of the Hurst exponent for experimental data plays a very important role in the research of processes which show properties of self-similarity. There are many methods for estimating the Hurst exponent using time series. The aim of this research is to carry out the comparative analysis of the statistical properties of the Hurst exponent estimators obtained by different methods using model stationary and nonstationary fractal time series. In this paper the most commonly used methods for estimating the Hurst exponents are examined. There are: /RS-analysis, variance-time analysis, detrended fluctuation analysis (DFA) and wavelet-based estimation. The fractal Brownian motion that is constructed using biorthogonal wavelets have been chosen as a model random process which exhibit fractal properties. In this paper, the results of a numerical experiment are represented where the fractal Brown motion was modelled for the specified values of the exponent H. The values of the Hurst exponent for the model realizations were varied within the whole interval of possible values 0 < H < 1.The lengths of the realizations were defined as 500, 1000, 2000 and 4000 values. For the nonstationary case model time series are presented by the sum of fractional noise and the trend component, which are a polynomial in varying degrees, irrational, transcendental and periodic functions. The estimates of H were calculated for each generated time series using the methods mentioned above. Samples of the exponent H estimates were obtained for each value of H and their statistical characteristics were researched. The results of the analysis have shown that the estimates of the Hurst exponent, which were obtained for the stationary realisations using the considered methods, are biased normal random variables. For each method the bias depends on the true value of the degrees self-similarity of the process and length of time series. Those estimates which are obtained by the DFA method and the wavelet transformation have the minimal bias. Standard deviations of the estimates depending on the estimation method and decrease, while the length of the series increases. Those estimates which are obtained by using the wavelet analysis have the minimal standard deviation. In the case of a nonstationary time series, represented by a trend and additive fractal noise, more accurate evaluation is obtained using the DFA method. This method allows estimating the Hurst exponent for experimental data with trend components of virtually any kind. The greatest difficulty in estimating, presents a series with a periodic trend component. It is desirable in addition to investigate the spectrum of the wavelet energy, which is demonstrated in the structure of the time series. In the presence of a slight trend, the wavelet-estimation is quite effective.

Keywords: Hurst exponent, estimate of the Hurst exponent, self-similar stochastic process, nonstationary time series, methods for estimating the Hurst exponent.

ACM Classification Keywords: G.3 Probability and statistics - Time series analysis, Stochastic processes, G.1 Numerical analysis, G.1.2 Approximation - Wavelets and fractals.

Link:

COMPARATIVE ANALYSIS FOR ESTIMATING OF THE HURST EXPONET FOR STATIONARY AND NONSTATIONARY TIME SERIES

Ludmila Kirichenko, Tamara Radivilova, Zhanna Deineko

http://foibg.com/ijitk/ijitk-vol05/ijitk05-4-p05.pdf

Abstract: The problem under consideration is to find a synchronizing sequence for a logic network with memory. A novel method is proposed that is based on formulation of the task as the Boolean satisfiability problem solved with any standard SAT solver. The developed method allows creating a Boolean equation presenting the problem in conjunctive normal form.

Keywords: design automation, verification, testing.

ACM Classification Keywords: B.6.2 Logic Design: Reliability and Testing; B.6.2 Reliability and Testing: Error-checking.

Link:

SEARCH ALGORITHM FOR SHORTEST SYNCHRONIZING SEQUENCES USING BOOLEAN SATISFIABILITY

Liudmila Cheremisinova

http://foibg.com/ijitk/ijitk-vol05/ijitk05-4-p04.pdf

Abstract: The main current concepts in overall Quality of Service (QoS) considerations in telecommunication systems, in documents of the leading standardization organizations, are found and put together. At least fifteen Open Issues for further study are formulated. Proposed are: Work Definitions of Communication and Telecommunication; A Reference Model of a Telecommunication System; Definitions of Overall Telecommunication Network and System Performance; Two Telecommunication System States’ modelling approaches are described; Parameters’ Classification Based on Their Values' Establishing Method is proposed, for the needs of design models; The necessity of Causal Classification of Values in Telecommunication Systems’ Models is argued; The necessity of Overall Telecommunication System’s Parameters’ Notation System is argued and a set of requirements is listed. An initial step of such notation system, proposed and used by authors is described.

Keywords: Telecommunication Systems, Telecommunication Network, Overall Quality of Service, Multi-Conceptual? Models, Models Scalability

ACM Classification Keywords: C.4 Performance of Systems, H.1.2 User/Machine Systems, I.6 Simulation and Modelling, I.6.0 General, H.1.2 User/Machine Systems, K.6 Management of Computing and Information Systems, K.6.0 Genera.

Link:

OVERALL QOS REFERENCING IN TELECOMMUNICATION SYSTEMS – SOME CURRENT CONCEPTS AND OPEN ISSUES

Stoyan Poryazov, Emiliya Saranova

http://foibg.com/ijitk/ijitk-vol05/ijitk05-4-p03.pdf

Abstract: This paper presents a new approach for creating conferences CD based HTML presentation of published papers for off-line reading. A couple of advances techniques has been deployed to automate process of creation like Java script engine, SQL database integration, full text search engine. The approach offers a good integration with online conference management systems for direct data exchange, friendly user interface and good compatibility with majority of contemporary HTML browsers.

Key Words: Java script, SQL, PHP, Database, Open Source, Linux.

Link:

AUTOMATED CONFERENCE CD-ROM BUILDER – AN OPEN SOURCE APPROACH

Stefan Karastanev

http://foibg.com/ijitk/ijitk-vol05/ijitk05-4-p02.pdf

Abstract: Current research on digital libraries (DL) is mostly focused on the generation of large collections of multimedia resources and regular tools for their indexing and retrieval. However, digital libraries should provide more than advanced content maintenance and retrieval services. They should aid the users in their content observation, knowledge acquisition and better satisfying their needs, interests and wishes. This paper presents an extension of the current DL functionality with content analyzing services. The main goal is to reach implicit and hidden data, content, rules and facts, dependences and tendencies, valid for the content in the DL repository, to synthesize and summarize the collected data in order to use them in various investigations and learning. These services also observe the DL tracking services’ output and provide different inferences for the frequency of service usage, failed requests, user logs and activities, etc., assisting the DL environment maintenance through the generation of inferences about its stability, flexibility, and reliability. This interpretation of DL analyzing services is not proposed and analyzed until now. We try to push up a new research point, aiming to aid user’s work in the DL environment.

Keywords: Digital Libraries, Services, Content Analysis, East-Christian? Iconographical Art.

ACM Classification Keywords: H.3.5 Online Information Services – Web-based services, H.3.7 Digital Libraries – Collection, Dissemination, System issues

Link:

CONTENT ANALYZING AND SYNTHESIZING SERVICES IN A DIGITAL LIBRARY

Desislava Paneva-Marinova?, Maxim Goynov, Radoslav Pavlov

http://foibg.com/ijitk/ijitk-vol05/ijitk05-4-p01.pdf

Abstract: The purpose of this work is to investigate how the Business Rules approach (very promising) can be used for the purposes of feasible and efficient software modernization (very needed). The processes of the forward and backward reengineering of legacy software systems are presented through identification of the main players. Their responsibilities, assigned tasks and expected deliverables are described. Some reasons for need of instrumental tools to support the process are given.

Keywords: software development, software modernization, business rules, extracting business rules.

ACM Classification Keywords: D.2.1 Requirements/Specifications, D.2.7 Distribution, Maintenance, and Enhancement.

Link:

EXTRACTING BUSINES RULES – HYPE OR HOPE FOR SOFTWARE MODERNIZATION

Neli Maneva, Krassimir Manev

http://foibg.com/ijita/vol18/ijita18-4-p08.pdf

Abstract: Wide introduction of the process-oriented systems for today is connected with the fact that they allow to formalize knowledge about business processes at the enterprises companies, organizations. At the same time, construction of business processes’ formal models require a lot of time and material costs, and it is the subject to influence of the human factor because it is often carry out with participation of experts and executors the purposes of which can be not coincided with the purposes of modeled business processes and enterprise overall aims. The given contradiction can lead to a divergence between real business process and its developed model. It can lead to construction of inadequate models of business processes. One of the important approaches to the decision of the given problem is realized on the basis of methodology of business processes intelligent analysis. The intelligent analysis is directed on reception of really carried out business processes’ models on the basis of research of events registration magazines of such processes.

Keywords: business processes, Petri net, implicit selection, logic net, predicate.

ACM Classification Keywords: C.4 Performance of systems - Modeling techniques, J.1 Administrative data processing - Business

Link:

EFFECTIVE CONSTRUCTIVE MODELS OF IMPLICIT SELECTION IN BUSINESS PROCESSES

Nataliya Golyan, Vera Golyan, Olga Kalynychenko

http://foibg.com/ijita/vol18/ijita18-4-p07.pdf

Abstract: Complex information technology for communications gesture and mimicry modeling and visualization is created.

Keywords: modeling, sign language, computer system, visual-speech synthesis and analysis.

ACM Classification Keywords: I.2.8 Problem Solving, And Search H.1.1 Systems and Information

Link:

CONSTRUCTION OF A REALISTIC MOVEMENT ON THE 3D HUMAN MODEL FOR STUDYING AND LEARNING SIGN LANGUAGE

Iurii Kryvonos, Iurii Krak, Anton Ternov

http://foibg.com/ijita/vol18/ijita18-4-p06.pdf

Abstract: In the paper the programmable logic array (PLA) topological optimization problem is dealt with using folding techniques. A PLA folding algorithm based on the method of simulated annealing is presented. A simulated-annealing PLA folding algorithm is presented for multiple unconstrained folding. Then, the algorithm is extended to handle constrained folding. In this way, simple folding is considered as a case of multiple constrained folding. Some experimental results of computer investigation of the suggested algorithms are given.

Keywords: design automation, area optimization, VLSI structure folding, simulated annealing.

ACM Classification Keywords: B.6.3 Logic Design: Design Aids – Optimization; B.7.2 Integrated circuits: Design Aids –Layout.

Link:

OPTIMIZING PROGRAMMABLE LOGIC ARRAYS USING THE SIMULATED ANNEALING ALGORITHM

Liudmila Cheremisinova, Irina Loginova

http://foibg.com/ijita/vol18/ijita18-4-p05.pdf

Abstract:This paper deals with finding low autocorrelation binary sequences which is a hard combinatorial optimization problem. Recent developments in this area analyzed, in order to understand characteristics of a problem. Emphasis is put on effective energy recomputation operators. Different types of these operators are tested to achieve full picture of LABS solvers development process. It is shown that latest state-of-the-art metaheuristics in fact all based on simplest Tabu Search framework, achieving performance boost by means of energy recomputation operators’ optimization. In this paper we construct variation of memetic algorithmincorporating latest developments to reach higher performance than it’s original. Comparison to a state-of-the-art TSv7 approach completed on instances with known optimums as well as on some unsolved larger ones. It is concluded that these approaches shows similar performance as they both have the same built-in heuristic. As further research proposed a comparison of different metaheuristic frameworks applied to this problem.

Keywords: combinatorial optimization, low autocorrelation binary sequences, memetic algorithm,stochastic local search, tabu search.

ACM Classification Keywords: G. 1. 6. Mathematics of Computing, Numerical Analysis, Optimization.

Link:

EFFECTIVE ENERGY RECOMPUTATION FOR LOW AUTOCORRELATION BINARY SEQUENCE PROBLEM

Leonid Hulianytskyi, Vladyslav Sokol

http://foibg.com/ijita/vol18/ijita18-4-p04.pdf

Abstract: In the paper new hybrid cascade wavelet-neural network and its learning algorithm in batch and on-line mode are proposed. Such architecture can be used for solving prediction and emulation non-stationary non-linear time series under current and a-priori uncertenity. The computational experiments confirm the effectiveness of developed approach.

Keywords: cascade neural network, wavelet-neuron, learning algorithm, prediction, emulation.

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

Link:

HYBRID CASCADE NEURAL NETWORK BASED ON WAVELET-NEURON

Yevgeniy Bodyanskiy, Oleksandra Kharchenko, Olena Vynokurova

http://foibg.com/ijita/vol18/ijita18-4-p03.pdf

Abstract: The revue of results obtained by the author this year in the area of disturbance of statistical stability of physical quantities and processes is presented. Two new sensitive parameters characterizing their statistical instability in finite observation interval are proposed. For known and new parameters of statistical instability unit measures that give possibility to characterize the level of disturbance are introduced. It is shown by modeling that STD corridors of unit measures weakly depend from the type of the distribution. It is confirmed that important role in disturbance of statistical stability plays specific fluctuation of expectation of the process that generates changes of average expectation. Dependence of parameters of statistical instability from normalized sample variance of expectation average is found. It is shown by modeling that positive correlation calls increasing of statistical instability and negative correlation – decreasing of it. Under any type correlation increasing of sample size calls increasing of statistical stability and the process trends to statistically stable state. It is found that changes of variance influence to statistical stability of the process. Under some relations of parameters unpredictable component of the process fades-out and under other ones – fades-in. It is demonstrated high sensitivity of new parameter of statistical instability. It is shown that fluctuations of maximum day temperature and minimum day temperature in two cities (Moscow and Kiev) are instable and fluctuation of day precipitation is near stable. Disturbance of statistical stability of temperature begins from some observation weeks.

Keywords: statistical instability, theory of hyper-random phenomena, uncertainty, probability.

ACM Classification Keywords: G.3 Probability and Statistics

Link:

DISTURBANCE OF STATISTICAL STABILITY (PART II)

Igor Gorban

http://foibg.com/ijita/vol18/ijita18-4-p02.pdf

Abstract: Number of Disciplines and Theories changed their status from status of Natural Science discipline to Mathematics. The Theory of Probability is the classical example of that kind. The main privilege of the new, Math, status is the conception of Math truth, which distinguish Math from other theories. Some disciplines, used in Applications, pretended to be Math, not being such. It’s entirely true for Fuzzy Subsets Theory with its pretension to be Math and to be exclusive tools in uncertainty handling. Fundamental pretensions of classical Fuzzy subset theory including pretension to be math is discussed as well as the some gaps of the theory are discussed in the article. Statistical interpretation of membership functions is proposed. It is proved, that such the interpretation take place for practically all supporters with minimal constraint on it. Namely, a supporter must be the space with a measure. The interpretation proposed makes it clear the modifying of the classical fuzzy object to correct the gaps. It becomes possible to say about observations of fuzzy subset within the conception of modification and to extend Likelihood method on the new area. Fuzzy likelihood equation adduced as example of new possibilities within approach proposed. One more interpretation for the Fuzzy subset theory is proposed to discuss: multiset theory one.

Keywords: f Uncertainty, Plural model of uncertainty, Fuzzy subsets Theory, statistical interpretation of the membership function, modification of Fuzzy subsets, Fuzzy likelihood equation, Multiset theory.

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: Models Fuzzy sets; H.1.m. Models and Principles: miscellaneous:

Link:

FUZZY SETS AS A MEAN FOR UNCERTAINTY HANDLING: MATH, APPLIED MATH, HEURISTICS

Volodymyr Donchenko

http://foibg.com/ijita/vol18/ijita18-4-p01.pdf

Abstract: The article presents the characteristic of surfaces having functional properties. It discusses the parameters used to describe the roughness of this type of surfaces. It proposed the method of constructing software which calculates probability parameters.

Keywords: two-process surfaces, roughness parameters.

ACM Classification Keywords: Algorithm, Measurement.

Link:

DESCRIPTION OF SURFACES HAVING STRATIFIED FUNCTIONAL PROPERTIES

Wiesław Graboń

http://foibg.com/ibs_isc/ibs-23/ibs-23-p24.pdf

Abstract: This study explores and compares predictive abilities of six types of neural networks used as tools for computer-aided breast cancer diagnosis, namely, multilayer perceptron, cascade-correlation neural network, and four ART-based neural networks. Our experimental dataset consists of 803 patterns of 39 BI-RADS, mammographic, sonographic, and other descriptors. Using such a combination of features is not traditional in the field and we find it is better than traditional ones. The study also focuses on exploring how various feature selection techniques influence predictive abilities of the models. We found that certain feature subsets show themselves as top candidates for all the models, but each model performs differently with them. We estimated models performance by ROC analysis and metrics, such as max accuracy, area under the ROC curve, area under the convex hull, partial area under the ROC curve with sensitivity above 90%, and specificity at 98% sensitivity. We paid particular attention to the metrics with higher specificity as it reduces false positive predictions, which would allow decreasing unnecessary benign breast biopsies while minimizing the number of delayed breast cancer diagnoses. In order to validate our experiments we used 5-fold cross validation. In conclusion, out results show that among the neural networks considered here, best overall performer is the Default ARTMAP neural network.

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

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

Link:

PERFORMANCE OF COMPUTER-AIDED DIAGNOSIS TECHNIQUES IN INTERPRETATION OF BREAST LESION DATA

Anatoli Nachev, Mairead Hogan, Borislav Stoyanov

http://foibg.com/ibs_isc/ibs-23/ibs-23-p23.pdf

Abstract. This article deals with the issue of Business Intelligence (BI), especially its next generation - Business Discovery(BD). This tool can help to fill the gap between traditional solutions we get from BI and standalone office productivity applications. Its users are able to forget new paths and make new discoveries. Here we want to present BD as being thoroughly complementary to traditional ERP, CRM, BI, and data warehousing systems. BD brings a whole new level of analysis, insight and value to the information stored within these systems. What is more, its users are not burdened with interfaces which are difficult to use and configure.

Keywords: Business Intelligence, Business Discovery, information, analysis, Qlickview

ACM Classification Keywords: K.6 Management of Computing and Information Systems - K.6.0 General Economics

Link:

BUSINESS DISCOVERY – A NEW DIMENSION OF BUSINESS INTELLIGENCE

Justyna Stasieńko

http://foibg.com/ibs_isc/ibs-23/ibs-23-p22.pdf

Abstract: An important application of the information technology (IT), which is the creation and improvement of Information Systems for Metrology (ISM) is discussed. These systems initially had a form of Metrological Database (MD) and Metrological Knowledge Bases (MKB). At present, the advanced versions of these systems have a form of the Metrological Expert Systems (MES) using artificial intelligence methods. Two selected examples of Information Systems for Metrology and their practical use are described. An actual state of the ISM ("CAMPV System") designed and developed in the Department of Metrology and Diagnostic Systems, Faculty of Electrical and Computer Engineering at Rzeszow University of Technology, is presented. The system consist of the portal for communication with the system via the Internet and the Metrological Database (MD) collecting the data on the specification of measurement equipment as well as the data obtained in the process of equipment calibration. It has been planned that the system will be expanded by adding the Analytical Metrological Database (AMD) and Metrological Knowledge Base (MKB). A full version of "CAMPV-Expert System" will be dedicated to the computer-aided design of electrical and electronic measurement channels as well as the computer-aided validation of measurement processes, which include such channels.

Keywords: information systems for metrology, metrological databases, metrological knowledge bases, metrological expert systems.

ACM Classification Keywords: A.0 General Literature - Conference proceedings

Link:

INFORMATION SYSTEMS FOR METROLOGY

Roman A. Tabisz, Łukasz Walus

http://foibg.com/ibs_isc/ibs-23/ibs-23-p21.pdf

Abstract: A simulation is reliable when the simulation time is much longer than the relaxation time of the quantities in question. The aim of this work is to address the question when Molecular Dynamics (MD) simulation is reliable and how it depends on the integration algorithms and optimal time step. There were certain problems related to the choice of integration algorithms on Molecular Dynamics simulations. The effect of time step on convergence to equilibrium in Molecular Dynamics simulation has been studied.

Keywords: Molecular Dynamics, computer simulations, integration algorithms

ACM Classification Keywords: A.0 General Literature - Conference proceedings

Link:

STUDY OF INTEGRATION ALGORITHM AND TIME STEP ON MOLECULAR DYNAMIC SIMULATION

Janusz Bytnar, Anna Kucaba-Piętal?

http://foibg.com/ibs_isc/ibs-23/ibs-23-p20.pdf

Abstract: The paper presents the structure of a database and a knowledge base which are the integral part of the Intelligent Decision Support System, being developed for a manufacturing company operating in the glass industry. Both modules will be used in the advisory system, whose functions will be classification of defects of products (here: glass packaging, e.g. bottles, jars) and selection of an appropriate (the most beneficial) method of elimination of defects arising in the manufacturing process.

Keywords: intelligent 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:

DATABASE AND KNOWLEDGE BASE AS INTEGRAL PART OF THE INTELLIGENT DECISION SUPPORT SYSTEM, CREATED FOR MANUFACTURING COMPANIES

Monika Piróg-Mazur?, Galina Setlak

http://foibg.com/ibs_isc/ibs-23/ibs-23-p19.pdf

Abstract: The article presents the neural network constructed in order to use it for monitoring. Its role is to recognize the events in alarm situations (theft, burglary etc.). The film presenting a real break-in into the car was used while testing this network. The main task of monitoring system based on the neural network is to compile such a network which shows the alarm situations as soon as possible using the available equipment.

Keywords: neutral network, monitoring system, neuron.

ACM Classification Keywords: I.2 Artificial Intelligence – I.2.6. Learning

Link:

ARTIFICIAL INTELLIGENCE IN MONITORING SYSTEM

Lucjan Pelc, Artur Smaroń, Justyna Stasieńko

http://foibg.com/ibs_isc/ibs-23/ibs-23-p18.pdf

Abstract: The paper summarizes the authors methodology for solving the intractable combinatorial problems in physical design of electronic devices: VLSI, SOC, PCB and other. The Optimal Circuit Reduction (OCR) method has proved to be an efficient and effective tool to identify the hierarchical clusters’ circuit structure. The authors review the applicability of this method for solving of some problems, including hierarchical clustering, partitioning, packaging, and placement. Developed approach based on multilevel decomposition with the recursive use of global and local optimization algorithms at it every level for unique, not very large size subproblems. At every step we receive some initial solutions which are improved by optimization algorithms. Experiments confirm the efficiency of developed approaches. For some well-known test cases the optimal results were achieved for the first time, while for many other cases improved results were obtained.

Keywords: VLSI, SOC and PCB physical design, hierarchical clustering, partitioning, packaging, placement

ACM Classification Keywords: B.7.2 Design Aids

Link:

MACROMODELING FOR VLSI PHYSICAL DESIGN AUTOMATION PROBLEMS

Roman Bazylevych, Marek Pałasiński, Lubov Bazylevych

http://foibg.com/ibs_isc/ibs-23/ibs-23-p17.pdf

Abstract: With steadily evolving new paradigms for technology enhanced learning, educational word games such as quizzes, puzzles and quests raise new appeal and motivation for students in following game based educational processes. Traditional word games may be applied more successfully to game based learning in given scientific domain provided they are highly oriented to the content and problems of that domain. Such games may be more efficient if they include artificial agents simulating opponents, advisors or collaborators of the player. Authors present a semantic structuring model of learning content for logic and word games serving for educational purposes and, next, show the place of artificial agents within the game construction and possible ways of agent’s realization. There are given results from practical experiments with playing a memory game using the semantic content model, without and with agents integrated into the game.

Keywords: Agents, quiz, word game, e-learning, game based learning.

Link:

SEMANTICALLY RICH EDUCATIONAL WORD GAMES ENHANCED BY SOFTWARE AGENTS

Boyan Bontchev, Sergey Varbanov, Dessislava Vassileva

http://foibg.com/ibs_isc/ibs-23/ibs-23-p16.pdf