Abstract: Excellence in Supply Chain Management depends on timely and effective translation of market demand into material and products control decisions across Supply Chain. As has been observed many times, this task may be complicated by several technical and business related constraints. Effective decision making processes are essential to execute Supply Chain in such a way that products will be made at lowest possible cost and delivered on time. In most cases, software support has to be used. Supply Chain related decisions are usually poorly structured and therefore only reasonable way to support them is to use simulation tools. The main aim of the paper is to show how Supply Chain Management process can be supported with Agent Oriented Simulation Platform. The case study presented describes in detail the decision situation that is analyzed from scratch, by simulating different scenarios for suggested problem solutions. Finally the paper shows how the analysis of simulation results may lead to final decision solving the problems encountered.

Keywords: Agent-based Models, Agent oriented Supply Chain Management, Agent-Based? Simulation and Modeling, Agent-orientation as Modeling Paradigm

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

Link:

TACTICAL MANAGEMENT OF SUPPLY CHAIN WITH AGENT BASED MODELING AND SIMULATION

Jacek Jakieła, Paweł Litwin, Marcin Olech

http://foibg.com/ibs_isc/ibs-23/ibs-23-p15.pdf

Abstract: In this paper we propose a modelling technique for the control of computational processes. The Petri Net model, particularly a Timed Event Graph (TEG) can be used for analyzing. The proposed model enables the determination of state equations. The max-plus algebra represents linear algebraic form of discrete systems and supplies new tools to their modelling. We develop a linear mathematical model under constraints in the Max-plus algebra. When using max-plus algebra with TEG, the arc weights are kept equal to one in order to be able to resolve the state equations. Structure of max-plus algebra is equipped with maximization and addition operations over of the real numbers and minus infinity. It can be used appropriately to determine marking times within a given Petri net and a vector filled with marking state at the beginning. Tools of max-plus algebra are useful to investigate properties of network models. Finally, numerical examples show the use of this model.

Keywords: Max-Plus-Linear? Systems, Petri Nets, Discrete Systems, Modelling Technique

ACM Classification Keywords: H. Information Systems, H.1 MODELS AND PRINCIPLES, H.1.1 Systems and Information Theory; D. Software D.4, OPERATING SYSTEMS, D.4.1 Process Management, Multiprocessing/multiprogramming/multitasking, Synchronization.

Link:

MODELLING AND CONTROL OF COMPUTATIONAL PROCESSES USING MAX-PLUS ALGEBRA

Jerzy Raszka, Lech Jamro

http://foibg.com/ibs_isc/ibs-23/ibs-23-p14.pdf

Abstract: This paper describes two analytical models of the process of an analysis of XML-formatted formulae of algorithms represented in a special editor created for the algebra of algorithms. For identification and storage of types and orientation of selected operations and uniterms, two XML-formatted model algorithms are developed. The ability is shown for transformation of formulae of algorithms that results in 5-time reduction of a number of uniterms while maintaining the functionality of the algorithm.

Keywords: Algebra of algorithms, algorithm formulae editor, transformation of algorithms.

Link:

MODELS OF THE PROCESS OF AN ANALYSIS OF XML-FORMATTED FORMULAE OF ALGORITHMS

Volodymyr Ovsyak, Krzystof Latawiec, Aleksandr Ovsyak

http://foibg.com/ibs_isc/ibs-23/ibs-23-p13.pdf

Abstract: The paper is a limited review of publications (1995-2010) related to the problem of classification of clinical records presented in a free text form. The techniques of indexing and methods of classification are considered. We also pay special attention to the description of document sets used in the mentioned research. Finally, we conclude about the perspective research directions related with the topic.

Keywords: Natural language processing, medical corpus, medical diagnostics, automatic medical classification

ACM Classification Keywords: I.2.7 Natural Language Processing

Link:

CLASSIFICATION OF FREE TEXT CLINICAL NARRATIVES (SHORT REVIEW)

Olga Kaurova, Mikhail Alexandrov, Xavier Blanco

http://foibg.com/ibs_isc/ibs-23/ibs-23-p12.pdf

Abstract: RICHE (Research Inventory of Child Health in Europe) is a platform developed and funded under the Health domain of 7th European Framework Program. The platform search engine is expected to use the multilingual taxonomy of terms for processing and classifying large volumes of documents of the RICHE repository. So far the experts participating in this project have produced the initial version of expert based taxonomy of terms relating to child health (based on existing taxonomies). In the paper we propose a simple man-machine technique for continuous support and development of the existing term list, which consists of three steps: 1) construction of various keyword lists extracted from a topic oriented document set using various levels of word specificity 2) selection of the most useful keyword lists using subjective criteria as a precision of selection and a number of new words 3) manual selection of new terms. Experimental material was represented by documents uploaded from three organizations active in child health improvement policies: World Bank, World Health Organization (WHO), and DG SANCO of European Commission (EC). The selection was performed in order to assess terms used in these documents that may be absent in the RICHE taxonomy. Presented work should be considered as a pilot (feasibility) study. The objective of the RICHE platform is to identify gaps in European child health research, so extensive mapping exercise has been started. Classification of identified studies is essential and cannot be based only on traditional terms of existing taxonomies. Emergent terms (such as for example “cyberbullying”) need to be identified and included into existing taxonomies. In our future work we focus on developing techniques related to multilevel and multiword term selection

Keywords: Child health, natural language processing, taxonomy, term selection

ACM Classification Keywords: I.2.7 Natural Language Processing

Link:

FOLKSONOMY - SUPPLEMENTING RICHE EXPERT BASED TAXONOMY BY TERMS FROM ONLINE DOCUMENTS (Pilot Study)

Aleš Bourek, Mikhail Alexandrov, Roque Lopez

http://foibg.com/ibs_isc/ibs-23/ibs-23-p11.pdf

Abstract: In this paper, we show how to represent to our formal reasoning and to model social context as knowledge using network models to aggregate heterogeneous information. We show how social context can be efficiently used for well understood tasks in natural language processing (such as context-dependent automated, large scale semantic annotation, term disambiguation, search of similar documents), as well as for novel applications such as social recommender systems which aim to alleviate information overload for social media users by presenting the most attractive and relevant content. We present the algorithms and the architecture of a hybrid recommender system in the activity centric environment Nepomuk-Simple? (EU 6th Framework Project NEPOMUK): recommendations are computed on the fly by network flow methods performing in the unified multidimensional network of concepts from the personal information management ontology augmented with concepts extracted from the documents pertaining to the activity in question.

Keywords: multidimensional networks, graph-based methods, network flow methods, data mining, natural language processing, recommender systems.

ACM Classification Keywords: H.3.4 Information Storage and Retrieval: Systems and Software – information networks; H.3.5 Information Storage and Retrieval: Online Information Services – data sharing.

Link:

SOCIAL CONTEXT AS MACHINE-PROCESSABLE KNOWLEDGE

Alexander Troussov, John Judge, Mikhail Alexandrov, Eugene Levner

http://foibg.com/ibs_isc/ibs-23/ibs-23-p10.pdf

Abstract: In this paper an example of multi-variant clustering is presented. The problems to be solved are described and multi-variant clustering based on pyramidal multi-layer multi-dimensional structures is outlined. The conclusion is that the multi-variant clustering combined with pyramidal generalization and pruning gives reliable results.

Keywords: Data mining, multi-variant clustering, pyramidal multi-layer multi-dimensional structures.

ACM Classification Keywords: H.2.8 Database Applications, Data mining; I.5.3 Clustering.

Link:

ABOUT MULTI-VARIANT CLUSTERING AND ANALYSIS HIGH-DIMENSIONAL DATA

Krassimira Ivanova, Vitalii Velychko, Krassimir Markov, Iliya Mitov

http://foibg.com/ibs_isc/ibs-23/ibs-23-p09.pdf

Abstract: The paper presents results of efforts of increasing predicting events accuracy by increasing a set of attributes describing the present moment by information included in past data. There are described two experiments verifying such an approach. The experiments were carried on by the use of the RSES system, which is based on the rough sets theory. The data analyzed in the first experiment, concerning the weather, were reported at the meteorological station in Jasionka near Rzeszów from 1 April 2004 to 30 september 2005. The second experiment deals with exchange rates based on the money.pl news bulletin data (http://www.money.pl).

Keywords: rough sets, prediction, temporal data.

Link:

ROUGH SET METHODS IN ANALYSIS OF CHRONOLOGICALLY ARRANGED DATA

Piotr Romanowski

http://foibg.com/ibs_isc/ibs-23/ibs-23-p08.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 distinguishes Math from other theories. Some disciplines used in Applications pretended to be Math not really being it. It is entirely true of 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 as well as some gaps in the theory are discussed in the article. Statistical interpretation of membership functions is proposed. It is proved that such interpretation takes place for practically all supporters with minimal constraints on it. Namely, a supporter must be a space with a measure. Proposed interpretation explains modification of classical fuzzy objects to fill the gaps. It is then possible to talk about observations of fuzzy subset within the conception of modification and to extend likelihood method to the new area. Fuzzy likelihood equation is adduced as an example of new possibilities within the proposed approach. One more interpretation for the Fuzzy subset theory is proposed for a discussion: multiset theory.

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: MATH, APPLIED MATH, HEURISTICS? PROBLEMS AND INTERPRETATIONS

Volodymyr Donchenko

http://foibg.com/ibs_isc/ibs-23/ibs-23-p07.pdf

Abstract: In presented work the further development of Box-Jenkins? technique for models constructing and improvement of themselves ARIMA models is produced. A novel autoregressive – spectral integrated moving average (ARSIMA) model founded on joint use of the Box-Jenkins? method (ARIMA models) and "Caterpillar"-SSA method with model trained on competitive base is developed.

Keywords: modeling, filtering, forecasting, control, "Caterpillar»-SSA method, ARIMA model, "Caterpillar»-SSA – ARIMA – SIGARCH method, ARSIMA model, ARSIMA – SIGARCH model, heteroskedasticity, Levenberg- Marquardt method.

Link:

ARSIMA MODEL

Vitalii Shchelkalin

http://foibg.com/ibs_isc/ibs-23/ibs-23-p06.pdf

Abstract: This paper describes the rationale and partial results of an ongoing experiment aiming to perform analysis and visualization of social and organizational structure of Polish scientific community. Work described in this paper concerns automated extraction of information (related to DSc theses) from Internet based sources and visualization of resulting data set. Primary database that was mined was a scientific information repository “Polish Science (“Nauka Polska” in Polish) maintained by the Information Processing Centre (OPI – “Ośrodek Przetwarzania Informacji” in Polish). The nature of this repository, specifically lack of any data export facility and web scrapping prevention provisions implemented (despite the fact, that database is supported by public funds), complicated data extraction process. However, when finally downloaded, verified and processed the data set proved to be very interesting and valuable, making possible statistical analysis and geospatial visualization. Specifically, this paper describes creation of a software tool able to create geographical maps depicting collaboration between various research institutions in Poland during the process of DSc theses review. It should be regarded as a report on a work in progress. It is a part of larger SYNAT project, being a government funded initiative to create an ICT infrastructure supporting scientific collaboration and exchange of research data in Poland. The results presented herein constitute just a proof of concept for a visualization approach that will be implemented when more detailed data, concerning Polish scientific community, will be collected during other SYNAT activities.

Keywords: bibliometrics, information visualization, social network analysis, web mining

ACM Classification Keywords: J.4 SOCIAL AND BEHAVIORAL SCIENCES

Link:

ANALYSING AND VISUALIZING POLISH SCIENTIFIC COMMUNITY1

Piotr Gawrysiak, Dominik Ryżko

http://foibg.com/ibs_isc/ibs-23/ibs-23-p05.pdf

Abstract: In the field of computer science, topics regarding analysis of social networks grows more and more popular. It stems from the fact that the knowledge hidden in connections between people might enable us to answer many questions concerning various areas of life. When analyzing social networks, we are usually interested in such information as – network structure, how it is managed and what is the scheme of flow of goods or information. When starting a study of processes taking place in social networks it can be noticed that a lot of data subject to analysis is stored in structures of databases. Thus, database server’s capabilities in terms of social network examining and assigning roles to its members are worth analysing. The aim of this paper is to present studies regarding using a database serve to gather data on social networks and mechanisms it provides to specify the type of connections between network elements. One of the tasks of social network analysis is a graphic visualization of connections between various objects existing in the field of interest of a conducted research. The most convenient representation of such is a graph. Ensuring a possibility to gather data for a permanent storage and at the same time effectively operate on them required designing appropriate data structures. It was decided, that the relational database meets the demands. The basic structure of the proposed data model covers vital graph elements along with a description of their qualities. Analysis of social networks presented as graphs poses a challenge when it consists of a huge number of nodes and connections between them. One of the most important functions for presenting a social network is to make it possible to locate and visualize only fragments of the whole graph in order to make analyses more effective. In the research, the mechanism for limiting set of nodes (creating sub-graphs, called paths for the purpose of this research) and for aggregating elements of a graph were prepared. Moreover, problem of graph search was also taken into consideration. The two algorithms, BFS and Dijkstra's, were implemented as a database procedures. Effectiveness of the operation of the first of algorithms was compared with its implementation in the. NET environment as well.

Keywords: social network analysis, database server, graphs, shortest paths.

ACM Classification Keywords: H. Information Systems H.3 INFORMATION STORAGE AND RETRIEVAL H.3.3 Information Search and Retrieval

Link:

DATABASE SERVER USAGE IN THE SOCIAL NETWORKS ANALYSIS

Katarzyna Harężlak

http://foibg.com/ibs_isc/ibs-23/ibs-23-p04.pdf

Abstract: European Union gives priority to social policy, labor and employment, human resource development. The growing unemployment figures in most of European Union countries provide the need to overview possibilities to strengthen control and more efficiently regulate unemployment. Recently, active labor market policies (ALMP) are increasingly applied to the broader macro-economic, employment and social policy objectives. Active labor market policy measures include vocational training, employment promotion, direct job creation, business support for new entrepreneurs. Investing in ALMP measures is one of the most effective investments in labor market policy. Knowledge society and knowledge economy challenges change management models. Knowledge management could help to increase productiveness of employees, expanding sources of reachable for them knowledge. Human resource development and effective human resource management theory of mobility models for the coordination and efficiency of their practical application depends on the ability of organizations to integrate human resource management and knowledge management models. ALMP measures are directly linked to the learning process, innovation, ideas and competencies. Active labor market supports the management of individual or group learning. Research indicates that vocational training is closely linked to job skills and employment promotion subsidies. The principles of knowledge management (knowledge construction, knowledge embodiment, knowledge dissemination and use) disposed of the active labor market system. It can be argued that the only successful model of knowledge management can ensure the success of ALMP. In his article the author examines ALMP and knowledge management model, communication and applications.

Keywords: knowledge society, knowledge management, active social policy, labor market, active labor market policy.

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

Link:

KNOWLEDGE MANAGEMENT AS ACTIVE LABOUR MARKET POLICY DEVELOPMENT FACTOR

Tatjana Bilevičienė, Eglė Bilevičiūtė

http://foibg.com/ibs_isc/ibs-23/ibs-23-p03.pdf

Abstract: European Union gives priority to social policy, labor and employment, human resource development. The growing unemployment figures in most of European Union countries provide the need to overview possibilities to strengthen control and more efficiently regulate unemployment. Recently, active labor market policies (ALMP) are increasingly applied to the broader macro-economic, employment and social policy objectives. Active labor market policy measures include vocational training, employment promotion, direct job creation, business support for new entrepreneurs. Investing in ALMP measures is one of the most effective investments in labor market policy. Knowledge society and knowledge economy challenges change management models. Knowledge management could help to increase productiveness of employees, expanding sources of reachable for them knowledge. Human resource development and effective human resource management theory of mobility models for the coordination and efficiency of their practical application depends on the ability of organizations to integrate human resource management and knowledge management models. ALMP measures are directly linked to the learning process, innovation, ideas and competencies. Active labor market supports the management of individual or group learning. Research indicates that vocational training is closely linked to job skills and employment promotion subsidies. The principles of knowledge management (knowledge construction, knowledge embodiment, knowledge dissemination and use) disposed of the active labor market system. It can be argued that the only successful model of knowledge management can ensure the success of ALMP. In his article the author examines ALMP and knowledge management model, communication and applications.

Keywords: knowledge society, knowledge management, active social policy, labor market, active labor market policy.

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

Link:

KNOWLEDGE MANAGEMENT AS ACTIVE LABOUR MARKET POLICY DEVELOPMENT FACTOR

Tatjana Bilevičienė, Eglė Bilevičiūtė

http://foibg.com/ibs_isc/ibs-23/ibs-23-p03.pdf

Abstract: Tacit knowledge continues to play a challenging role in any type of industry and is no doubt an everlasting resource. So it is important to realize the intensity and impact of tacit knowledge in an organization at various stages. Doing so will help us to achieve a conceptual consideration about the concentration of tacit knowledge capturing techniques, technologies and methodologies at a specific stage in the business. The main aim of this article is to explore the tacit knowledge as an inimitable resource and its intensity in all types of organization which are becoming more and more knowledge intensive by time.

Keywords: Knowledge Management, Tacit knowledge, Knowledge in Value configurations, Knowledge discovery, Knowledge as resource.

ACM Classification Keywords: K.6.3 Resource Allocation, I.2.4 Knowledge Representation, I.2.6 Knowledge Acquisition.

Link:

TACIT KNOWLEDGE AS A RESOURCE FOR ORGANIZATIONS AND ITS INTENSITY IN VARIOUS VALUE CREATION MODELS

Sumeer Chakuu

http://foibg.com/ibs_isc/ibs-23/ibs-23-p02.pdf

Abstract: The aim of the paper is to present the new methodology of building the knowledge base of parliamentary elections. The knowledge base can be used for analysis the rules describing electorate preferences during voting process. Two case studies-Polish parliamentary elections of 2001 and 2007 - illustrate the considerations.

Keywords: parliamentary election, knowledge base.

Link:

DISCOVERING KNOWLEDGE IN PARLIAMENTARY ELECTIONS

Jerzy Hołubiec, Grażyna Szkatuła, Dariusz Wagner

http://foibg.com/ibs_isc/ibs-23/ibs-23-p01.pdf

Abstract: The tasks of technological processes’ modeling with using of Petri nets are considered in this article. Procedure of presentation and coding maxims of gas discharge circuit’s filling by gas composition is shown as example of Petri nets usage. Implementation of those methods and their program realization allow getting results in a minimum time frame.

Keywords: model of a gas laser, gas-discharge circuit, Petri net, graph, arc, transition, node.

ACM Classification Keywords: C.4 Performance of systems - Modeling techniques

Link:

MODELING AND SOLVING TECHNOLOGICAL TASKS BY LANGUAGE OF PETRI NETS

Nataliya Golian, Vera Golian, Olga Kalynychenko

http://foibg.com/ibs_isc/ibs-24/ibs-24-p15.pdf

Abstract: The paper describes the application of distance learning techniques to presentation of instructional materials on Computer Networks. The subject of the work is the discussion on the effectiveness of selected lectures creating methods for workshops. The techniques presented have been applied to the development process of newly built distance learning platform used at Rzeszow University of Technology.

Keywords: distance learning, virtual courses,

ACM Classification Keywords: K.3. computers and Education, Computer used in education, Distance Learning

Link:

THE TECHNIQUES FOR DEVELOPMENT OF E-LEARNING COURSES ON COMPUTER NETWORKS

Iwetta Turek, Michał Szczurowski, Grzegorz Rzeźnikiewicz, Arkadiusz Rzucidło

http://foibg.com/ibs_isc/ibs-24/ibs-24-p14.pdf

Abstract: - An approach for the problem of building such tools of e-learning system that gives the user a chance to get the desired knowledge of teaching course in a user adaptable manner is suggested in this article. This approach is based on so-called “teaching scenarios” (sequence of teaching units) being constructed during the process of learning. We introduce a tool that builds user adaptable teaching scenarios based on Genetic Algorithms, built-in the Genetic Chooser Algorithm (GCA). These scenarios are being constructed via the quality and quantity characteristics of the teaching units and user’s knowledge. A course-map building tool is also introduced in GCA that helps user to see his /her progress through the course. The considered method is realized and introduced in the TeachArm? e-learning system S.G. Sargsyan, A.S. Hovakimyan, and all, 2002

Keywords: Genetic Algorithm, e-learning system, user adaptable scenario, knowledge, L-Systems?.

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

Link:

GENETIC ALGORITHMS IN E-LEARNING SYSTEMS

Sargsyan S. G., Hovakimyan A.S., Barkhudaryan S.V.

http://foibg.com/ibs_isc/ibs-24/ibs-24-p13.pdf

Abstract: Perhaps the most efficient of modern didactic policies is e-learning course. E-education shapes the culture of life-long learning and teaching and enables contemporary learners to meet the requirements of the outward reality. Learning is a daunting and time-consuming task. Its final success depends on many factors, so it’s crucial to choose the proper enhancing software, able to adapt the teaching process to an individual learner and able to verify and assess his improvement in learning. According to the Ebbinghausen forgetting curves, reasonably frequent revisions give student both the knowledge and methods of its consolidation: as a result he learns more efficiently. Hence, the salient part of our e-learning system is the neural network able to establish the best possible timetable of revisions. The e-learning system we provide pertains to the knowledge of the Polish orthography. By means of it we have proved, that e-learning is didactically effective only if the educational software is interactive and flexible enough to adjust itself to the user’s needs, requirements and perceptional skills.

Keywords: e-learning, neural network, forgetting curve

ACM Classification Keywords: I.2.6 Artificial Intelligence- Learning

Link:

THE E-LEARNING SYSTEM WITH EMBEDDED NEURAL NETWORK

Anna Plichta

http://foibg.com/ibs_isc/ibs-24/ibs-24-p12.pdf

Abstract: The aim of this paper is to perform the main part of the restructuring processes with Business Process Reengineering (BPR) methodology. The first step was to choose the processes for analysis. Two business processes, which occur in most of the manufacturing companies, have been selected. Afterwards, current state of these processes was examined. The conclusions were used to propose own changes in accordance with assumptions of the BPR. This was possible through modelling and simulation of selected processes with iGrafx modeling software.

Keywords: Business Process Reengineering, modelling and simulation processes

Link:

BPMN AND BPR: A NEW SHAPE OF BUSINESS PROCESSES

Łukasz Paśko

http://foibg.com/ibs_isc/ibs-24/ibs-24-p11.pdf

Abstract: This paper introduces a new method for analyzing time-series of stock market indexes (Dow Jones, NASDAQ etc) in order to reveal the quantitative level of their interference. In literature, the interference between stock indexes is usually called ‘contagion’. Strictly, contagion – is transmission of shocks from one region to another. In order to prevent destructive effects of crisis it’s very important for the government to predict them. The proposed method consists of two steps: transformation of time series to the space of independent components and clustering in this space using the principle of stability. The contents of clusters just define companies, countries, and regions related by the effect of contagion. To complete the mentioned steps we use: the IcaLab? tool from MatLab? package to construct independent components, MajorClust? method and DEM index for clustering and testing its quality. MajorClust? and DEM were developed in Benno Stein research group. The results of experiments showed the essential advantage of the proposed method over the traditional approach based on formal relations in correlation matrix. Notably, we marked out the groups of market indexes, which were most likely connected via ‘contagion’. Such a conclusion was made using external data like geographical position, level of country development, macroeconomic rates, etc.

Keywords: independent component analysis, clustering with MajorClust?, contagion effect, financial market

ACM Classification Keywords: I.2M Miscellaneous

Link:

CLUSTERING IN THE SPACE OF INDEPENDENT COMPONENTS AS A TOOL FOR REVEALING CONTAGION EFFECT ON FINANCE MARKETS

Konstantin Dylko, Mikhail Alexandrov

http://foibg.com/ibs_isc/ibs-24/ibs-24-p10.pdf

Abstract: The theme of the article is to discuss the suitability of image recognition software to study the structure of composites. These materials are already used for many years as an alternative to many higher-priced used in the aerospace industry and beyond. Research of composite structures are conducted on a regular basis. Application of pattern recognition methods can give a new perspective on analysis and measurements in the features of the composites.

Keywords: foam composites, image recognition

ACM Classification Keywords: I.3.3 Picture/Image Generation

Link:

METHODS OF IMAGE RECOGNITION AS A TOOL IN ANALYSIS OF INTERNAL COMPOSITES STRUCTURES

Arkadiusz Rzucidło

http://foibg.com/ibs_isc/ibs-24/ibs-24-p09.pdf

Abstract: A model of a mobile setup for shape reconstruction is presented. In this technique, the contouring is performed by laser scanning and image processing. The devices of this setup can be moved to examine occluded areas and small details. The algorithm of triangulation method computes the object dimensions from the deformation of a laser line and the camera position. This model improves the performance and the accuracy of the reconstruction system, because all steps of the contouring are performed by computer algorithms. In this manner, the errors of the physical measurements are not passed to the reconstruction system. This procedure represents a contribution to the methods of contouring based on laser scanning. To describe the accuracy, a root mean square of error is calculated with respect to a contact method. This technique has been tested with real objects. Also the new principle of the shaping the structured illumination suitable is considered for realization of pinpoint accuracy of the noncontact optical measuring systems for determination of the profile to surfaces greater object. Proposed method has no an analogue in Russia and overseas.

Keywords: three-dimensional model, 3D measurements, scanners, triangulation, phase shift method

ACM Classification Keywords: General Terms – Algorithms, Experimentation, Measurement, Theory

Link:

DEVELOPMENT OF A COMBINED SYSTEM FOR INPUT OF THREE-DIMENSIONAL IMAGES

Alexei Mordvinov

http://foibg.com/ibs_isc/ibs-24/ibs-24-p08.pdf

Abstract: Agent-oriented models (АОМ) are well-known and are widely used in imitational modeling of economic processes. АОМ allow researchers to take their multicomponent iterative nature into consideration and to avoid difficulties, which may stem from analytical task setting. The article suggests the use Gilboa-Schmeidler? agents, which а) have a limited rationality of decision-making process which accompanies resource exchanges; b) learn, while striking deals aimed at exchange of these resources. This is what makes them different from traditional АОМ, where learning and relearning is not taken into account. The peculiar feature of the agent interaction environment is the possibility of redistribution of a part of resources through the taxation of deals. The influence of institutions on deal successfulness is also taken into account.. The functioning of the suggested АОМ is demonstrated through the use of examples, which admit to simple economic interpretation.

Keywords: agent oriented model, self-learning agents, partial rationality

ACM Classification Keywords: I.2.m Miscellaneous

Link:

IMITATIONAL MODELING OF BEHAVIOR OF LEARNING ECONOMIC AGENTS

Sergey Maruev, Dmitry Stefanovskiy

http://foibg.com/ibs_isc/ibs-24/ibs-24-p07.pdf