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ANALYSING AND VISUALIZING POLISH SCIENTIFIC COMMUNITY1
By: Piotr Gawrysiak, Dominik Ryżko
(3569 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
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DATABASE SERVER USAGE IN THE SOCIAL NETWORKS ANALYSIS
By:
(3360 reads)
Rating:
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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
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KNOWLEDGE MANAGEMENT AS ACTIVE LABOUR MARKET POLICY DEVELOPMENT FACTOR
By: Tatjana Bilevičienė, Eglė Bilevičiūtė
(3375 reads)
Rating:
(1.00/10)
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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
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KNOWLEDGE MANAGEMENT AS ACTIVE LABOUR MARKET POLICY DEVELOPMENT FACTOR
By: Tatjana Bilevičienė, Eglė Bilevičiūtė
(3497 reads)
Rating:
(1.00/10)
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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
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TACIT KNOWLEDGE AS A RESOURCE FOR ORGANIZATIONS AND ITS INTENSITY IN VARIOUS ...
By: Sumeer Chakuu
(5268 reads)
Rating:
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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
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DISCOVERING KNOWLEDGE IN PARLIAMENTARY ELECTIONS
By: Jerzy Hołubiec, Grażyna Szkatuła, Dariusz Wagner
(3049 reads)
Rating:
(1.00/10)
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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
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MODELING AND SOLVING TECHNOLOGICAL TASKS BY LANGUAGE OF PETRI NETS
By: Nataliya Golian, Vera Golian, Olga Kalynychenko
(3374 reads)
Rating:
(1.00/10)
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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
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THE TECHNIQUES FOR DEVELOPMENT OF E-LEARNING COURSES ON COMPUTER NETWORKS
By: Turek et al.
(3237 reads)
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(1.00/10)
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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
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GENETIC ALGORITHMS IN E-LEARNING SYSTEMS
By: Sargsyan et al.
(4097 reads)
Rating:
(1.00/10)
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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
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THE E-LEARNING SYSTEM WITH EMBEDDED NEURAL NETWORK
By: Anna Plichta
(4604 reads)
Rating:
(1.00/10)
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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
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BPMN AND BPR: A NEW SHAPE OF BUSINESS PROCESSES
By: Łukasz Paśko
(5654 reads)
Rating:
(1.00/10)
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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
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CLUSTERING IN THE SPACE OF INDEPENDENT COMPONENTS AS A TOOL FOR REVEALING ...
By: Konstantin Dylko, Mikhail Alexandrov
(4219 reads)
Rating:
(1.00/10)
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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
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METHODS OF IMAGE RECOGNITION AS A TOOL IN ANALYSIS OF INTERNAL COMPOSITES ...
By: Arkadiusz Rzucidło
(3187 reads)
Rating:
(1.00/10)
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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
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DEVELOPMENT OF A COMBINED SYSTEM FOR INPUT OF THREE-DIMENSIONAL IMAGES
By: Alexei Mordvinov
(3284 reads)
Rating:
(1.00/10)
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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
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IMITATIONAL MODELING OF BEHAVIOR OF LEARNING ECONOMIC AGENTS
By: Sergey Maruev, Dmitry Stefanovskiy
(2987 reads)
Rating:
(1.00/10)
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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
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INTELLIGENT CONTROLLER FOR HYBRID RENEWABLE ENERGY SYSTEM BASED ...
By: Tyukov et al.
(3039 reads)
Rating:
(1.00/10)
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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
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THE COMPUTER PROCESS OF OPTIMIZATION ALGORITHMS FORMULAS
By: Tomasz Markuszewski
(2955 reads)
Rating:
(1.00/10)
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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
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A CONCEPT OF A MODEL OF A COMPUTER SYSTEM FOR FORMING COMPLEX UNITERMS
By: Magdalena Niziołek, Volodymyr Ovsyak
(4057 reads)
Rating:
(1.00/10)
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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
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THE EXTENDED ALGEBRA OF ALGORITHMS WITH ADDITIONAL CYCLE ELIMINATION AXIOMATS
By: Volodymyr Ovsyak, Aleksandr Ovsyak
(3159 reads)
Rating:
(1.00/10)
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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
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METHODS AND TOOLS OF COMPUTATIONAL LINGUISTICS FOR THE CLASSIFICATION ...
By: Vera Danilova
(3494 reads)
Rating:
(1.00/10)
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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
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LEXISTERM – THE PROGRAM FOR TERM SELECTION BY THE CRITERION OF SPECIFICITY
By: Roque Lopez et al.
(4830 reads)
Rating:
(1.00/10)
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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
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ИССЛЕДОВАНИЕ МНОГОКРИТЕРИАЛЬНОЙ ЗАДАЧИ ОП�
By: Есфандиярфард et al.
(4701 reads)
Rating:
(1.00/10)
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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
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ЛИНЕЙНОЕ ОЦЕНИВАНИЕ ПАРАМЕТРОВ МОДЕЛЕЙ ФИН
By: Зайченко Ю.П., Мурга Н.А.
(3570 reads)
Rating:
(1.00/10)
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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
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ОНЛАЙН РАСПОЗНАВАНИЕ РУКОПИСНЫХ МАТЕМАТИЧ�
By: Надеран Эдрис
(25064 reads)
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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
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ВЕРИФИКАЦИЯ ЦВЕТНЫХ ОБЪЕКТОВ НА СЛОЖНЫХ СЦ�
By: Протосавицкий et al.
(3280 reads)
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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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