Advanced data acquisition and intelligent data processing

Advanced data acquisition and intelligent data processing

by Haasz, Vladimir Madani, Kurosh

Type Book
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DAQ and data processing is a basic part of all automated production systems, diagnostic systems, watching over quality of production, energy distribution, transport control or in various other areas. Demands on the speed, accuracy and reliability increase in general. It is possible to achieve not only using superior (but also more expensive) hardware, but also applying advanced data acquisition and intelligent data processing. It deals e.g. optimal data fusion of a number of sensors, new stocha…

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Title Statements

  • Full title :Advanced data acquisition and intelligent data processing / editors, Vladimir Haasz and Kurosh Madani.

Summary

DAQ and data processing is a basic part of all automated production systems, diagnostic systems, watching over quality of production, energy distribution, transport control or in various other areas. Demands on the speed, accuracy and reliability increase in general. It is possible to achieve not only using superior (but also more expensive) hardware, but also applying advanced data acquisition and intelligent data processing. It deals e.g. optimal data fusion of a number of sensors, new stochastic methods for accuracy increasing, new algorithms for acceleration of data processing, etc. These are the grounds for publishing this book. Advanced Data Acquisition and Intelligent Data Processing offers 10 up-to-date examples of different applications of advanced data acquisition and intelligent data processing used in monitoring, measuring and diagnostics systems.

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Edition Statements

  • Publication Date:2014.
  • Edition:First edition

Publication Statements

  • Publisher(s):River Publishers
  • Place of Publication:Gistrup, Denmark
  • Language:eng
  • Publication Date:2014.

The Physical Object

  • Description:1 online resource (305 pages) : : illustrations

Edition Identifiers

  • ISBN:9781003337027, 1003337023, 9781000792089, 1000792080, 9781000795301, 1000795306
  • DOI:10.1201/9781003337027
  • oclc:on1347185506
  • LC Classification:HF5548.2
  • Dewey Decimal:658.054

Table of Contents

1. Introduction 2. Waveform acquisition with resolutions exceeding those of the ADCs employed 3. Different appliance identification in non-intrusive appliance load monitoring 4. Design and testing of an electronic nose sensitive to the aroma of truffles 5. DAQ acquisition for ultrasonic transducer evaluation under spread spectrum excitation 6. Optimal information fusion in stochastic unknown input observers network 7. Odor classification by neural networks 8. ANFIS based approach for improved multisensors signal processing 9. FPGA-based ANFIS linearizer for measurement systems 10. Identification of systems using Volterra model in time and frequency domain 11. Training cellular automata for hyperspectral image segmentation

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