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  • Many structures (e.g. defects, surfaces, cracks, time series from dynamic processes) can hardly be described by conventional methods because they are complex and irregular. A new approach is the application of fractal geometry that is successfully used in science. Even though applications in industry are only sporadic and experimental, fractal geometry in connection with statistics can be used as a useful and powerful tool for an explicit, objective and automatic description of production process data (laboratory, off-line and potentially on-line).
  • Many structures (e.g. defects, surfaces, cracks, time series from dynamic processes) can hardly be described by conventional methods because they are complex and irregular. A new approach is the application of fractal geometry that is successfully used in science. Even though applications in industry are only sporadic and experimental, fractal geometry in connection with statistics can be used as a useful and powerful tool for an explicit, objective and automatic description of production process data (laboratory, off-line and potentially on-line). (en)
Title
  • Possibilities of Industrial Data Description Using Fractal Geometry
  • Possibilities of Industrial Data Description Using Fractal Geometry (en)
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  • Possibilities of Industrial Data Description Using Fractal Geometry
  • Possibilities of Industrial Data Description Using Fractal Geometry (en)
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  • RIV/46747885:24210/12:#0002891!RIV13-MSM-24210___
http://linked.open...avai/riv/aktivita
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  • I
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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  • 160061
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  • RIV/46747885:24210/12:#0002891
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  • Fractal dimension; Time series; Dividing line; Statistics; Defects, cracks; Surfaces (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [219C5FD041B2]
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  • Ostrava
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  • Berlin
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  • Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems
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  • Hotař, Vlastimil
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  • 000313767300015
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number of pages
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  • Springer-Verlag
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  • 978-3-642-33226-5
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  • 24210
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