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Journal Details
Format
Journal
eISSN
1335-8871
First Published
07 Mar 2008
Publication timeframe
6 times per year
Languages
English

Search

Volume 11 (2011): Issue 3 (June 2011)

Journal Details
Format
Journal
eISSN
1335-8871
First Published
07 Mar 2008
Publication timeframe
6 times per year
Languages
English

Search

5 Articles
Open Access

Methodology for the Evaluation of the Algorithms for Text Line Segmentation Based on Extended Binary Classification

Published Online: 12 Aug 2011
Page range: 71 - 78

Abstract

Methodology for the Evaluation of the Algorithms for Text Line Segmentation Based on Extended Binary Classification

Text line segmentation represents the key element in the optical character recognition process. Hence, testing of text line segmentation algorithms has substantial relevance. All previously proposed testing methods deal mainly with text database as a template. They are used for testing as well as for the evaluation of the text segmentation algorithm. In this manuscript, methodology for the evaluation of the algorithm for text segmentation based on extended binary classification is proposed. It is established on the various multiline text samples linked with text segmentation. Their results are distributed according to binary classification. Final result is obtained by comparative analysis of cross linked data. At the end, its suitability for different types of scripts represents its main advantage.

Keywords

  • Document image processing
  • text line segmentation
  • testing methodology
Open Access

Comparison of RMS Value Measurement Algorithms of Non-coherent Sampled Signals

Published Online: 12 Aug 2011
Page range: 79 - 84

Abstract

Comparison of RMS Value Measurement Algorithms of Non-coherent Sampled Signals

Uncertainty and bias of RMS measurement of digitally non-coherent sampled signal is dependent on the algorithm used. This paper presents the new Averaging two subsets method for RMS value bias correction of non-coherent sampled signal. Methods for estimating RMS values in the time domain are also compared.

Keywords

  • RMS measurement methods
  • estimation algorithms
  • non-coherent sampling
Open Access

Biogenic Magnetite in Humans and New Magnetic Resonance Hazard Questions

Published Online: 12 Aug 2011
Page range: 85 - 91

Abstract

Biogenic Magnetite in Humans and New Magnetic Resonance Hazard Questions

The widespread use of magnetic resonance (MR) techniques in clinical practice, and recent discovery of biogenic ferrimagnetic substances in human tissue, open new questions regarding health hazards and MR. Current studies are restricted just to the induction of Faraday currents and consequent thermal effects, or ‘inoffensive’ interaction with static magnetic field. We outlined that magnetic energies associated with interaction of ferrimagnetic particles and MR magnetic fields can be dangerous for sensitive tissues like the human brain is. To simulate the interaction mechanism we use our. ‘Cube’ model approach, which allows more realistic calculation of the particle's magnetic moments. Biogenic magnetite nanoparticles face during MR examination three principal fields: (i) main B0 field, (ii) gradient field, and (iii) B1 field. Interaction energy of biogenic magnetite nanoparticle with static magnetic field B0 exceeds the covalent bond energy 5 times for particles from 4 nm up to 150 nm. Translation energy in gradient field exceeds biochemical bond energy for particles bigger than 50 nm. Biochemical bond disruption and particle release to the tissue environment, in the presence of all MR fields, are the most critical points of this interaction. And together with relaxation processes after application of RF pulses, they make biogenic magnetite nanoparticles a potential MR health hazard issue.

Keywords

  • Biogenic magnetite
  • ‘Cube’ model
  • magnetic resonance
  • health hazard
Open Access

Two Methods of Mechanical Noise Reduction of Recorded Speech During Phonation in an MRI device

Published Online: 12 Aug 2011
Page range: 92 - 98

Abstract

Two Methods of Mechanical Noise Reduction of Recorded Speech During Phonation in an MRI device

The paper presents two methods of noise reduction of speech signal recorded in an MRI device during phonation for the human vocal tract modelling. The applied approach of noise speech signal cleaning is based on cepstral speech analysis and synthesis because the noise is mainly produced by gradient coils, has a mechanical character, and can be processed in spectral domain. Our first noise reduction method is using real cepstrum limitation and clipping the "peaks" corresponding to the harmonic frequencies of mechanical noise. The second method is coming out from substation of the short-time spectra of two signals recorded withal: the first includes speech and noise, and the second consists of noise only. The resulting speech quality was compared by spectrogram and mean periodogram methods.

Keywords

  • speech processing
  • noise reduction
  • NMR imaging
Open Access

Development of Virtual Instrument for Uniaxial Compression Testing of Rock Samples

Published Online: 12 Aug 2011
Page range: 99 - 103

Abstract

Development of Virtual Instrument for Uniaxial Compression Testing of Rock Samples

This paper presents the virtual instrument for measurement and determination of uniaxial compression strength and rock sample deformability. It analyzes properties and limitations of several implemented virtual instruments. Furthermore, comparison of implemented virtual instrument properties is presented.

Keywords

  • Uniaxial strength
  • virtual instrument
  • measurement system properties
5 Articles
Open Access

Methodology for the Evaluation of the Algorithms for Text Line Segmentation Based on Extended Binary Classification

Published Online: 12 Aug 2011
Page range: 71 - 78

Abstract

Methodology for the Evaluation of the Algorithms for Text Line Segmentation Based on Extended Binary Classification

Text line segmentation represents the key element in the optical character recognition process. Hence, testing of text line segmentation algorithms has substantial relevance. All previously proposed testing methods deal mainly with text database as a template. They are used for testing as well as for the evaluation of the text segmentation algorithm. In this manuscript, methodology for the evaluation of the algorithm for text segmentation based on extended binary classification is proposed. It is established on the various multiline text samples linked with text segmentation. Their results are distributed according to binary classification. Final result is obtained by comparative analysis of cross linked data. At the end, its suitability for different types of scripts represents its main advantage.

Keywords

  • Document image processing
  • text line segmentation
  • testing methodology
Open Access

Comparison of RMS Value Measurement Algorithms of Non-coherent Sampled Signals

Published Online: 12 Aug 2011
Page range: 79 - 84

Abstract

Comparison of RMS Value Measurement Algorithms of Non-coherent Sampled Signals

Uncertainty and bias of RMS measurement of digitally non-coherent sampled signal is dependent on the algorithm used. This paper presents the new Averaging two subsets method for RMS value bias correction of non-coherent sampled signal. Methods for estimating RMS values in the time domain are also compared.

Keywords

  • RMS measurement methods
  • estimation algorithms
  • non-coherent sampling
Open Access

Biogenic Magnetite in Humans and New Magnetic Resonance Hazard Questions

Published Online: 12 Aug 2011
Page range: 85 - 91

Abstract

Biogenic Magnetite in Humans and New Magnetic Resonance Hazard Questions

The widespread use of magnetic resonance (MR) techniques in clinical practice, and recent discovery of biogenic ferrimagnetic substances in human tissue, open new questions regarding health hazards and MR. Current studies are restricted just to the induction of Faraday currents and consequent thermal effects, or ‘inoffensive’ interaction with static magnetic field. We outlined that magnetic energies associated with interaction of ferrimagnetic particles and MR magnetic fields can be dangerous for sensitive tissues like the human brain is. To simulate the interaction mechanism we use our. ‘Cube’ model approach, which allows more realistic calculation of the particle's magnetic moments. Biogenic magnetite nanoparticles face during MR examination three principal fields: (i) main B0 field, (ii) gradient field, and (iii) B1 field. Interaction energy of biogenic magnetite nanoparticle with static magnetic field B0 exceeds the covalent bond energy 5 times for particles from 4 nm up to 150 nm. Translation energy in gradient field exceeds biochemical bond energy for particles bigger than 50 nm. Biochemical bond disruption and particle release to the tissue environment, in the presence of all MR fields, are the most critical points of this interaction. And together with relaxation processes after application of RF pulses, they make biogenic magnetite nanoparticles a potential MR health hazard issue.

Keywords

  • Biogenic magnetite
  • ‘Cube’ model
  • magnetic resonance
  • health hazard
Open Access

Two Methods of Mechanical Noise Reduction of Recorded Speech During Phonation in an MRI device

Published Online: 12 Aug 2011
Page range: 92 - 98

Abstract

Two Methods of Mechanical Noise Reduction of Recorded Speech During Phonation in an MRI device

The paper presents two methods of noise reduction of speech signal recorded in an MRI device during phonation for the human vocal tract modelling. The applied approach of noise speech signal cleaning is based on cepstral speech analysis and synthesis because the noise is mainly produced by gradient coils, has a mechanical character, and can be processed in spectral domain. Our first noise reduction method is using real cepstrum limitation and clipping the "peaks" corresponding to the harmonic frequencies of mechanical noise. The second method is coming out from substation of the short-time spectra of two signals recorded withal: the first includes speech and noise, and the second consists of noise only. The resulting speech quality was compared by spectrogram and mean periodogram methods.

Keywords

  • speech processing
  • noise reduction
  • NMR imaging
Open Access

Development of Virtual Instrument for Uniaxial Compression Testing of Rock Samples

Published Online: 12 Aug 2011
Page range: 99 - 103

Abstract

Development of Virtual Instrument for Uniaxial Compression Testing of Rock Samples

This paper presents the virtual instrument for measurement and determination of uniaxial compression strength and rock sample deformability. It analyzes properties and limitations of several implemented virtual instruments. Furthermore, comparison of implemented virtual instrument properties is presented.

Keywords

  • Uniaxial strength
  • virtual instrument
  • measurement system properties

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