Zeszyty czasopisma

Tom 22 (2022): Zeszyt 3 (September 2022)

Tom 22 (2022): Zeszyt 2 (June 2022)

Tom 22 (2022): Zeszyt 1 (March 2022)

Tom 21 (2021): Zeszyt 4 (December 2021)

Tom 21 (2021): Zeszyt 3 (September 2021)

Tom 21 (2021): Zeszyt 2 (June 2021)

Tom 21 (2021): Zeszyt 1 (March 2021)

Tom 20 (2020): Zeszyt 6 (December 2020)
Special Zeszyt on New Developments in Scalable Computing

Tom 20 (2020): Zeszyt 5 (December 2020)
Special issue on Innovations in Intelligent Systems and Applications

Tom 20 (2020): Zeszyt 4 (November 2020)

Tom 20 (2020): Zeszyt 3 (September 2020)

Tom 20 (2020): Zeszyt 2 (June 2020)

Tom 20 (2020): Zeszyt 1 (March 2020)

Tom 19 (2019): Zeszyt 4 (November 2019)

Tom 19 (2019): Zeszyt 3 (September 2019)

Tom 19 (2019): Zeszyt 2 (June 2019)

Tom 19 (2019): Zeszyt 1 (March 2019)

Tom 18 (2018): Zeszyt 5 (May 2018)
Special Thematic Zeszyt on Optimal Codes and Related Topics

Tom 18 (2018): Zeszyt 4 (November 2018)

Tom 18 (2018): Zeszyt 3 (September 2018)

Tom 18 (2018): Zeszyt 2 (June 2018)

Tom 18 (2018): Zeszyt 1 (March 2018)

Tom 17 (2017): Zeszyt 5 (December 2017)
Special Zeszyt With Selected Papers From The Workshop “Two Years Avitohol: Advanced High Performance Computing Applications 2017

Tom 17 (2017): Zeszyt 4 (November 2017)

Tom 17 (2017): Zeszyt 3 (September 2017)

Tom 17 (2017): Zeszyt 2 (June 2017)

Tom 17 (2017): Zeszyt 1 (March 2017)

Tom 16 (2016): Zeszyt 6 (December 2016)
Special issue with selection of extended papers from 6th International Conference on Logistic, Informatics and Service Science LISS’2016

Tom 16 (2016): Zeszyt 5 (October 2016)
Zeszyt Title: Special Zeszyt on Application of Advanced Computing and Simulation in Information Systems

Tom 16 (2016): Zeszyt 4 (December 2016)

Tom 16 (2016): Zeszyt 3 (September 2016)

Tom 16 (2016): Zeszyt 2 (June 2016)

Tom 16 (2016): Zeszyt 1 (March 2016)

Tom 15 (2015): Zeszyt 7 (December 2015)
Special Zeszyt on Information Fusion

Tom 15 (2015): Zeszyt 6 (December 2015)
Special Zeszyt on Logistics, Informatics and Service Science

Tom 15 (2015): Zeszyt 5 (April 2015)
Special Zeszyt on Control in Transportation Systems

Tom 15 (2015): Zeszyt 4 (November 2015)

Tom 15 (2015): Zeszyt 3 (September 2015)

Tom 15 (2015): Zeszyt 2 (June 2015)

Tom 15 (2015): Zeszyt 1 (March 2015)

Tom 14 (2014): Zeszyt 5 (December 2014)
Special Zeszyt

Tom 14 (2014): Zeszyt 4 (December 2014)

Tom 14 (2014): Zeszyt 3 (September 2014)

Tom 14 (2014): Zeszyt 2 (June 2014)

Tom 14 (2014): Zeszyt 1 (March 2014)

Tom 13 (2013): Zeszyt Special-Zeszyt (December 2013)

Tom 13 (2013): Zeszyt 4 (December 2013)
The publishing of the present issue (Tom 13, No 4, 2013) of the journal “Cybernetics and Information Technologies” is financially supported by FP7 project “Advanced Computing for Innovation” (ACOMIN), grant agreement 316087 of Call FP7 REGPOT-2012-2013-1.

Tom 13 (2013): Zeszyt 3 (September 2013)

Tom 13 (2013): Zeszyt 2 (June 2013)

Tom 13 (2013): Zeszyt 1 (March 2013)

Tom 12 (2012): Zeszyt 4 (December 2012)

Tom 12 (2012): Zeszyt 3 (September 2012)

Tom 12 (2012): Zeszyt 2 (June 2012)

Tom 12 (2012): Zeszyt 1 (March 2012)

Informacje o czasopiśmie
Format
Czasopismo
eISSN
1314-4081
ISSN
1311-9702
Pierwsze wydanie
13 Mar 2012
Częstotliwość wydawania
4 razy w roku
Języki
Angielski

Wyszukiwanie

Tom 12 (2012): Zeszyt 4 (December 2012)

Informacje o czasopiśmie
Format
Czasopismo
eISSN
1314-4081
ISSN
1311-9702
Pierwsze wydanie
13 Mar 2012
Częstotliwość wydawania
4 razy w roku
Języki
Angielski

Wyszukiwanie

7 Artykułów
access type Otwarty dostęp

Preface

Data publikacji: 22 Mar 2013
Zakres stron: 3 - 3

Abstrakt

access type Otwarty dostęp

Sinus – A Semantic Technology Enhanced Environment For Learning In Humanities

Data publikacji: 22 Mar 2013
Zakres stron: 5 - 24

Abstrakt

Abstract

The paper describes a semantic technology based environment intended for developing technology enhanced learning applications in humanitarian problem domains. The environment consists of three layers: the storage layer contains heterogeneous repositories storing domain and pedagogical knowledge; the tool level contains a set of tools for processing different types of knowledge and the middleware layer is implemented as an extended search engine carrying out all necessary communications between the tools and the repositories. Some implementation issues are discussed and a preliminary evaluation of the environment based on an exploitation is presented.

Słowa kluczowe

  • Technology enhanced learning
  • semantic technologies
  • service-oriented architectures
access type Otwarty dostęp

Technology Enhanced Learning for Humanities by Active Learning − the Sinus Project Approach

Data publikacji: 22 Mar 2013
Zakres stron: 25 - 42

Abstrakt

Abstract

The paper presents an approach to active learning facilitated by the use of semantic technologies. Some features of active learning and understanding of learning in humanities are discussed. The specifics of a well defined learning task - learner’s authoring of analytical materials, grounded by materials from a digital library - are analyzed to shape the functionality of experimental Technology Enhanced Learning (TEL) environment with a built-in domain and pedagogical knowledge. The environment structure and realization are discussed and a learning example is presented.

Słowa kluczowe

  • Technology Enhanced Learning
  • active learning
  • learning-by-authoring
  • semantic technologies
  • ontologies
access type Otwarty dostęp

New Applications of “Ontology-to-Text Relation” Strategy for Bulgarian Language

Data publikacji: 22 Mar 2013
Zakres stron: 43 - 51

Abstrakt

Abstract

The paper presents new applications of the Ontology-to-Text Relation Strategy to Bulgarian Iconographic Domain. First the strategy itself is discussed within the triple ontology-terminological lexicon-annotation grammars, then - the related works. Also, the specifics of the semantic annotation and evaluation over iconographic data are presented. A family of domain ontologies over the iconographic domain are created and used. The evaluation against a gold standard shows that this strategy is good enough for more precise, but shallow results, and can be supported further by deep parsing techniques.

Słowa kluczowe

  • Ontologies
  • semantic annotation
  • terminological lexicons
  • annotation grammars
access type Otwarty dostęp

Structured Information Extraction from Medical Texts in Bulgarian

Data publikacji: 22 Mar 2013
Zakres stron: 52 - 65

Abstrakt

Abstract

This paper presents an approach for Information Extraction (IE) from Patient Records (PRs) in Bulgarian. The specific terminology and lack of resources in electronic format are some of the obstacles that make the task of current patient status data extraction in a structured format quite challenging. The usage of N-grams, collocations and words’ distances allows us to cope with this problem and to extract automatically the attribute-value pairs with relatively high precision.

Słowa kluczowe

  • Artificial Intelligence
  • linguistic modeling
  • health informatics
access type Otwarty dostęp

Image Processing for Technological Diagnostics of Metallurgical Facilities

Data publikacji: 22 Mar 2013
Zakres stron: 66 - 76

Abstrakt

Abstract

The paper presents an overview of the image-processing techniques. The set of basic theoretical instruments includes methods of mathematical analysis, linear algebra, probability theory and mathematical statistics, theory of digital processing of one-dimensional and multidimensional signals, wavelet-transforms and theory of information. This paper describes a methodology that aims to detect and diagnose faults, using thermographs approaches for the digital image processing technique.

Słowa kluczowe

  • Technological diagnostics
  • digital image processing
  • predictive maintenance
  • fault detection
access type Otwarty dostęp

Pattern Synthesis Using Multiple Kernel Learning for Efficient SVM Classification

Data publikacji: 22 Mar 2013
Zakres stron: 77 - 94

Abstrakt

Abstract

Support Vector Machines (SVMs) have gained prominence because of their high generalization ability for a wide range of applications. However, the size of the training data that it requires to achieve a commendable performance becomes extremely large with increasing dimensionality using RBF and polynomial kernels. Synthesizing new training patterns curbs this effect. In this paper, we propose a novel multiple kernel learning approach to generate a synthetic training set which is larger than the original training set. This method is evaluated on seven of the benchmark datasets and experimental studies showed that SVM classifier trained with synthetic patterns has demonstrated superior performance over the traditional SVM classifier.

Słowa kluczowe

  • SVM classifier
  • curse of dimensionality
  • synthetic patterns
  • multiple kernel learning
7 Artykułów
access type Otwarty dostęp

Preface

Data publikacji: 22 Mar 2013
Zakres stron: 3 - 3

Abstrakt

access type Otwarty dostęp

Sinus – A Semantic Technology Enhanced Environment For Learning In Humanities

Data publikacji: 22 Mar 2013
Zakres stron: 5 - 24

Abstrakt

Abstract

The paper describes a semantic technology based environment intended for developing technology enhanced learning applications in humanitarian problem domains. The environment consists of three layers: the storage layer contains heterogeneous repositories storing domain and pedagogical knowledge; the tool level contains a set of tools for processing different types of knowledge and the middleware layer is implemented as an extended search engine carrying out all necessary communications between the tools and the repositories. Some implementation issues are discussed and a preliminary evaluation of the environment based on an exploitation is presented.

Słowa kluczowe

  • Technology enhanced learning
  • semantic technologies
  • service-oriented architectures
access type Otwarty dostęp

Technology Enhanced Learning for Humanities by Active Learning − the Sinus Project Approach

Data publikacji: 22 Mar 2013
Zakres stron: 25 - 42

Abstrakt

Abstract

The paper presents an approach to active learning facilitated by the use of semantic technologies. Some features of active learning and understanding of learning in humanities are discussed. The specifics of a well defined learning task - learner’s authoring of analytical materials, grounded by materials from a digital library - are analyzed to shape the functionality of experimental Technology Enhanced Learning (TEL) environment with a built-in domain and pedagogical knowledge. The environment structure and realization are discussed and a learning example is presented.

Słowa kluczowe

  • Technology Enhanced Learning
  • active learning
  • learning-by-authoring
  • semantic technologies
  • ontologies
access type Otwarty dostęp

New Applications of “Ontology-to-Text Relation” Strategy for Bulgarian Language

Data publikacji: 22 Mar 2013
Zakres stron: 43 - 51

Abstrakt

Abstract

The paper presents new applications of the Ontology-to-Text Relation Strategy to Bulgarian Iconographic Domain. First the strategy itself is discussed within the triple ontology-terminological lexicon-annotation grammars, then - the related works. Also, the specifics of the semantic annotation and evaluation over iconographic data are presented. A family of domain ontologies over the iconographic domain are created and used. The evaluation against a gold standard shows that this strategy is good enough for more precise, but shallow results, and can be supported further by deep parsing techniques.

Słowa kluczowe

  • Ontologies
  • semantic annotation
  • terminological lexicons
  • annotation grammars
access type Otwarty dostęp

Structured Information Extraction from Medical Texts in Bulgarian

Data publikacji: 22 Mar 2013
Zakres stron: 52 - 65

Abstrakt

Abstract

This paper presents an approach for Information Extraction (IE) from Patient Records (PRs) in Bulgarian. The specific terminology and lack of resources in electronic format are some of the obstacles that make the task of current patient status data extraction in a structured format quite challenging. The usage of N-grams, collocations and words’ distances allows us to cope with this problem and to extract automatically the attribute-value pairs with relatively high precision.

Słowa kluczowe

  • Artificial Intelligence
  • linguistic modeling
  • health informatics
access type Otwarty dostęp

Image Processing for Technological Diagnostics of Metallurgical Facilities

Data publikacji: 22 Mar 2013
Zakres stron: 66 - 76

Abstrakt

Abstract

The paper presents an overview of the image-processing techniques. The set of basic theoretical instruments includes methods of mathematical analysis, linear algebra, probability theory and mathematical statistics, theory of digital processing of one-dimensional and multidimensional signals, wavelet-transforms and theory of information. This paper describes a methodology that aims to detect and diagnose faults, using thermographs approaches for the digital image processing technique.

Słowa kluczowe

  • Technological diagnostics
  • digital image processing
  • predictive maintenance
  • fault detection
access type Otwarty dostęp

Pattern Synthesis Using Multiple Kernel Learning for Efficient SVM Classification

Data publikacji: 22 Mar 2013
Zakres stron: 77 - 94

Abstrakt

Abstract

Support Vector Machines (SVMs) have gained prominence because of their high generalization ability for a wide range of applications. However, the size of the training data that it requires to achieve a commendable performance becomes extremely large with increasing dimensionality using RBF and polynomial kernels. Synthesizing new training patterns curbs this effect. In this paper, we propose a novel multiple kernel learning approach to generate a synthetic training set which is larger than the original training set. This method is evaluated on seven of the benchmark datasets and experimental studies showed that SVM classifier trained with synthetic patterns has demonstrated superior performance over the traditional SVM classifier.

Słowa kluczowe

  • SVM classifier
  • curse of dimensionality
  • synthetic patterns
  • multiple kernel learning

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