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ANALYSING AND VISUALIZING POLISH SCIENTIFIC COMMUNITY1
By: Piotr Gawrysiak, Dominik Ryżko  (2304 reads)
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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

DATABASE SERVER USAGE IN THE SOCIAL NETWORKS ANALYSIS
By:   (2259 reads)
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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

KNOWLEDGE MANAGEMENT AS ACTIVE LABOUR MARKET POLICY DEVELOPMENT FACTOR
By: Tatjana Bilevičienė, Eglė Bilevičiūtė  (2323 reads)
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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

KNOWLEDGE MANAGEMENT AS ACTIVE LABOUR MARKET POLICY DEVELOPMENT FACTOR
By: Tatjana Bilevičienė, Eglė Bilevičiūtė  (2290 reads)
Rating: (1.00/10)

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

TACIT KNOWLEDGE AS A RESOURCE FOR ORGANIZATIONS AND ITS INTENSITY IN VARIOUS ...
By: Sumeer Chakuu  (3565 reads)
Rating: (1.00/10)

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

DISCOVERING KNOWLEDGE IN PARLIAMENTARY ELECTIONS
By: Jerzy Hołubiec, Grażyna Szkatuła, Dariusz Wagner  (2027 reads)
Rating: (1.00/10)

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

MODELING AND SOLVING TECHNOLOGICAL TASKS BY LANGUAGE OF PETRI NETS
By: Nataliya Golian, Vera Golian, Olga Kalynychenko  (2286 reads)
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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

THE TECHNIQUES FOR DEVELOPMENT OF E-LEARNING COURSES ON COMPUTER NETWORKS
By: Turek et al.  (2028 reads)
Rating: (1.00/10)

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

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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

GENETIC ALGORITHMS IN E-LEARNING SYSTEMS
By: Sargsyan et al.  (2726 reads)
Rating: (1.00/10)

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

THE E-LEARNING SYSTEM WITH EMBEDDED NEURAL NETWORK
By: Anna Plichta  (3072 reads)
Rating: (1.00/10)

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

BPMN AND BPR: A NEW SHAPE OF BUSINESS PROCESSES
By: Łukasz Paśko  (4616 reads)
Rating: (1.00/10)

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

CLUSTERING IN THE SPACE OF INDEPENDENT COMPONENTS AS A TOOL FOR REVEALING ...
By: Konstantin Dylko, Mikhail Alexandrov  (2743 reads)
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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

METHODS OF IMAGE RECOGNITION AS A TOOL IN ANALYSIS OF INTERNAL COMPOSITES ...
By: Arkadiusz Rzucidło  (2087 reads)
Rating: (1.00/10)

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

DEVELOPMENT OF A COMBINED SYSTEM FOR INPUT OF THREE-DIMENSIONAL IMAGES
By: Alexei Mordvinov  (2315 reads)
Rating: (1.00/10)

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

IMITATIONAL MODELING OF BEHAVIOR OF LEARNING ECONOMIC AGENTS
By: Sergey Maruev, Dmitry Stefanovskiy  (2017 reads)
Rating: (1.00/10)

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

INTELLIGENT CONTROLLER FOR HYBRID RENEWABLE ENERGY SYSTEM BASED ...
By: Tyukov et al.  (2052 reads)
Rating: (1.00/10)

Abstract: The concept of energy saving management system based on intelligent agent and embedded technology is represented here. This system is designed for management of hybrid renewable energy system (HRES). For testing of suggested approach the prototype grid of energy consumption, production and storage was designed. This grid contains energy consumption block, production block, inner storage block, external supplier block, local data acquisition modules and embedded controller (EC). The design of management system is presented: hardware level with input/output device, embedded controller and super-controller devices. The formalization of intelligent agents for both side is represented next. Internal agents are autonomic agent, local agent seller (LAS) and local agent buyer (LAB). LAS and LAB agents use forecast methods for generation of action. External agents are Agent of Weather Service, Agent Buying Supporter and Agent Selling Supporter.

Keywords: renewable energy system; energy saving; energy management system, embedded controller, supercontroller, embedded controller software, intelligent agents, multi-agent theory.

ACM Classification Keywords: Smart-grids

Link:

INTELLIGENT CONTROLLER FOR HYBRID RENEWABLE ENERGY SYSTEM BASED ON MULTI-AGENT AND EMBEDDED TECHNOLOGY

Anton Tyukov, Alexey Uzhva, Maxim Shcherbakov, Adrian Dobrowolski, Adriaan Brebels

http://foibg.com/ibs_isc/ibs-24/ibs-24-p06.pdf

THE COMPUTER PROCESS OF OPTIMIZATION ALGORITHMS FORMULAS
By: Tomasz Markuszewski  (1987 reads)
Rating: (1.00/10)

Abstract: This paper presents a model of a computerized system to optimize formulas of algorithms. For this purpose the algebra of algorithms. The computer process optimization formula of algorithm is very complex, and were decomposed to simplify. The new model described in form of formulas algorithms, and contains variables, function uniterms. The variables are used for storing interim and final data used in the optimization process. Functional unierms are initiating variables, checking the possibility of optimization by introducing an additional condition, optimizing single operation algorithm algebra, and for all algorithms operations algebra with introducing an additional condition method. The built effect of the model is its simplicity. The primary benefit of implementation a model is to protect transformation formulas of algorithms.

Keywords: algebra, formula, algorithm, transformation, optimization, model, decomposition.

Link:

THE COMPUTER PROCESS OF OPTIMIZATION ALGORITHMS FORMULAS

Tomasz Markuszewski

http://foibg.com/ibs_isc/ibs-24/ibs-24-p05.pdf

A CONCEPT OF A MODEL OF A COMPUTER SYSTEM FOR FORMING COMPLEX UNITERMS
By: Magdalena Niziołek, Volodymyr Ovsyak  (3016 reads)
Rating: (1.00/10)

Abstract: The existing methods of intuitive and mathematical methods of application of algorithms in system are described. It is shown that in the existing formula editor of algebra of algorithms only trivial (simple) uniterms are formed. In the work to secure the ability of creating complexes uniterms a concept of an adequate computer system model is created. The essence of this concept lies in the creation of function uniterms in the main class of the formula editor of algebra of algorithms and in specific subsystems of complex uniterms, as well as in a modification of the XML described algorithms expressions generated by the editor.

Keywords. Algebra, algorithm, model, formula, subsystem, uniterm: formatting, editor program.

ACM classification keywords: F.2 Analysis of algorithms and problem complexity

Link:

A CONCEPT OF A MODEL OF A COMPUTER SYSTEM FOR FORMING COMPLEX UNITERMS

Magdalena Niziołek, Volodymyr Ovsyak

http://foibg.com/ibs_isc/ibs-24/ibs-24-p04.pdf

THE EXTENDED ALGEBRA OF ALGORITHMS WITH ADDITIONAL CYCLE ELIMINATION AXIOMATS
By: Volodymyr Ovsyak, Aleksandr Ovsyak  (2114 reads)
Rating: (1.00/10)

Abstract: The existing, intuitive computation models, that is the virtual machines of Turing, Post, Kolmogorov, Schönhage, Aho-Ullman-Hopcroft? as well as the algorithms of Markov and Krinitski, and the recursive functions, all lack precise, mathematical formulation. Consequently, algebra of algorithms is defined using the axiomatic method. The algebra is based on the operations of sequencing, elimination, paralleling and reversing as well as cyclic sequencing, cyclic elimination and cyclic paralleling, all of them performed on the so-called uniterms. A useful extension is offered in terms of additional cycle elimination axiomats. A simple example illustrates the usefulness of the algebra of algorithms.

Keywords: Computation models, algorithms, algebra of algorithms, operations.

ACM Classification Keywords: I.0 General Literature

Link:

THE EXTENDED ALGEBRA OF ALGORITHMS WITH ADDITIONAL CYCLE ELIMINATION AXIOMATS

Volodymyr Ovsyak, Aleksandr Ovsyak

http://foibg.com/ibs_isc/ibs-24/ibs-24-p03.pdf

METHODS AND TOOLS OF COMPUTATIONAL LINGUISTICS FOR THE CLASSIFICATION ...
By: Vera Danilova  (2231 reads)
Rating: (1.00/10)

Abstract: This article represents a brief survey of the few works, dedicated to the modern approaches of natural language processing (NLP) to the analysis of impersonal sentences in Spanish. Such an analysis consists in classification of non-referential ellipsis that can be used in machine translation systems. The NLP approaches related with Spanish are mainly based on the work of Rello published in 2010. These approaches do not make use of a proper classification of impersonal models, but of a relative descriptive distribution without strict criteria. The structured classification presented in this article, based on historical and semantic data of interlingual nature, can be also applied for creation of linguistically-motivated classes for machine learning methods. The automatic classification method, employed in the work of Rello, is based on the use of the wellknown WEKA package instance-based learner.

Keywords: impersonal construction, non-referential ellipsis, machine translation

ACM Classification Keywords: I.2.7 Natural Language Processing - Language models

Link:

METHODS AND TOOLS OF COMPUTATIONAL LINGUISTICS FOR THE CLASSIFICATION OF NATURAL NON-REFERENTIAL ELLIPSIS IN SPANISH (REVIEW)

Vera Danilova

http://foibg.com/ibs_isc/ibs-24/ibs-24-p02.pdf

LEXISTERM – THE PROGRAM FOR TERM SELECTION BY THE CRITERION OF SPECIFICITY
By: Roque Lopez et al.  (3273 reads)
Rating: (1.00/10)

Abstract: Term selection is one of the principal procedures in natural language processing. Existing advanced methods allow to construct multiword terms, to form hierarchy of related terms, etc. It provides a high quality of problem solutions where these terms are used. But almost always an expert needs a simple tool to glance a document corpus to reveal the most distinctive features. For this purpose we propose the simple program LexisTerm? for one-word term selection based on a well-known criterion of term specificity. Speaking ‘specificity’ we mean the relation of term frequencies in a given document/corpus and in some gold standard as, for example, a National corpus of document. The program has two options, which give an opportunity. to select both specific terms in an individual document and specific terms for the whole corpus. In the paper we describe this program and demonstrate the results of its work on a real example. The program LexisTerm? is free-share.

Keywords: Natural language processing, term selection, indexing

ACM Classification Keywords: I.2.7 Natural Language Processing

Link:

LEXISTERM – THE PROGRAM FOR TERM SELECTION BY THE CRITERION OF SPECIFICITY

Roque Lopez, Mikhail Alexandrov, Dennis Barreda, Javier Tejada

http://foibg.com/ibs_isc/ibs-24/ibs-24-p01.pdf

ИССЛЕДОВАНИЕ МНОГОКРИТЕРИАЛЬНОЙ ЗАДАЧИ ОП�
By: Есфандиярфард et al.  (3218 reads)
Rating: (1.00/10)

Abstract: The problem of multicriteria fuzzy portfolio optimization is considered and investigated. This problem include two main criteria – portfolio profitableness and risk . A mathematical model of this problem was constructed , explored and the sufficient conditions for its convexity were obtained. . The results of experimental investigations of solutions are presented and discussed

Keywords: fuzzy portfolio optimization, multicriteria optimization problem, portfolio profitableness , portfolio risk

ACM Classification Keywords: G.1.0 Mathematics of Computing– General – Error analysis; G.1.6 Mathematics of Computing – NUMERICAL ANALYSIS – Optimization - Gradient methods, Least squares methods; I.2.3 Computing Methodologies - ARTIFICIAL INTELLIGENCE - Uncertainty, “fuzzy”, and probabilistic reasoning; I.2.6 Computing Methodologies - ARTIFICIAL INTELLIGENCE – Learning - Connectionism and neural nets;

Link:

ИССЛЕДОВАНИЕ МНОГОКРИТЕРИАЛЬНОЙ ЗАДАЧИ ОПТИМИЗАЦИИ ИНВЕСТИЦИОННОГО ПОРТФЕЛЯ В НЕЧЕТКИХ УСЛОВИЯХ

Малихех Есфандиярфард , Юрий Зайченко, Ови Нафас Агаи Аг Гамиш

http://foibg.com/ibs_isc/ibs-22/ibs-22-p12.pdf

ЛИНЕЙНОЕ ОЦЕНИВАНИЕ ПАРАМЕТРОВ МОДЕЛЕЙ ФИН
By: Зайченко Ю.П., Мурга Н.А.  (2501 reads)
Rating: (1.00/10)

Аннотация: предлагается метод линейного оценивания параметров моделей финансовых временных рядов противоположный по своей структуре МНК. Проводится сравнительный анализ МНК и предлагаемого метода.

Ключевые слова: линейное оценивание, оптимизация, финансовые временные ряды. Ключевые слова классификации

ACM: G. Mathematics of Computing - G.1 NUMERICAL ANALYSIS - G.1.2 Approximation - Linear approximation.

Link:

ЛИНЕЙНОЕ ОЦЕНИВАНИЕ ПАРАМЕТРОВ МОДЕЛЕЙ ФИНАНСОВЫХ ВРЕМЕННЫХ РЯДОВ

Зайченко Ю.П., Мурга Н.А.

http://foibg.com/ibs_isc/ibs-22/ibs-22-p11.pdf

ОНЛАЙН РАСПОЗНАВАНИЕ РУКОПИСНЫХ МАТЕМАТИЧ�
By: Надеран Эдрис  (12497 reads)
Rating: (1.00/10)

Аннотация: рассматривается разработанный алгоритм структурного анализа для онлайн распознавания рукописных математических формул. Вводятся следующие понятия: допустимое и обязательное расположение символа, алгоритм размещения, алгоритм чередования, алгоритм группировки.

Ключевые слова: структурный анализ, математические формулы, распознавание рукописных символов, онлайн распознавание, сегментация.

ACM Classification Keywords: I.5.2 Computing Methodologies - PATTERN RECOGNITION - Design Methodology - Pattern analysis. G.4 Mathematics of Computing – MATHEMATICAL SOFTWARE - Algorithm design and analysis. I.5.1 Computing Methodologies - PATTERN RECOGNITION - Models - Structural.

Link:

ОНЛАЙН РАСПОЗНАВАНИЕ РУКОПИСНЫХ МАТЕМАТИЧЕСКИХ ФОРМУЛ

Надеран Эдрис

http://foibg.com/ibs_isc/ibs-22/ibs-22-p10.pdf

ВЕРИФИКАЦИЯ ЦВЕТНЫХ ОБЪЕКТОВ НА СЛОЖНЫХ СЦ�
By: Протосавицкий et al.  (2300 reads)
Rating: (1.00/10)

Аннотация: В данном докладе представлен метод описания цветных объектов на сложных сценах, а также алгоритмы сравнения таких объектов в различных условияхосвещения. Описанные алгоритмы были разработаны после анализа большого количества различных изображений в нескольких цветовых моделяхпри решении задачи распознавания объектов. Размеры объектов, их форма и цвет могут быть произвольными. Методы выделения объектов могут отличаться от рассматриваемых.

Ключевые слова: цветные объекты, освещённость.

ACM Classification Keywords:algorithms, verification

Link:

ВЕРИФИКАЦИЯ ЦВЕТНЫХ ОБЪЕКТОВ НА СЛОЖНЫХ СЦЕНАХ

Анатолий Протосавицкий, Екатерина Горшкова, Дмитрий Пилютик, Роман Телятников, Иван Шумский

http://foibg.com/ibs_isc/ibs-22/ibs-22-p09.pdf

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