Advanced Data Acquisition and Intelligent Data Processing

Name: Advanced Data Acquisition and Intelligent Data Processing
Brand: Taylor & Francis
SKU: 9788793102736
Price: 9730.0 INR
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ISBN13: 9788793102736
Binding: Hardcover
Subject: N/A
Publisher: Taylor & Francis
Publisher Imprint: River Publishers
Publication Date: May 15, 2014
Pages: 306
Original Price: GBP 115.0
Language: English
Edition: N/A
Item Weight: 604 grams
BISAC Subject(s): Computer Science, Database Administration & Management, and Artificial Intelligence / Expert Systems

About The Book

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. The book arose based on the most interesting papers from this area published at IDAACS?2013 conference. However, the indivudual chapters include not only designed solution in wider context but also relevant theoretical parts, achieved results and possible future ways.Technical topics discussed in this book include: - advanced methods of data acquisition in application that are not routine;- measured data fusion using up-to-date advanced data processing;- nonlinear dynamical systems identification;- multidimensional image processing.Advanced Data Acquisition and Intelligent Data Processing is ideal for personnel of firms deals with advanced instrumentation, energy consumption monitoring, environment monitoring, non-descructive diagnostics robotics, etc., as well as academic staff and postgraduate students in electrical, control and computer engineering.Content: 1. Introduction; 2. Waveform acquisition with resolutions exceeding those of the ADC employed; 3. Different Disaggregation Algorithms in Non-Intrusive Home Energy Monitoring Systems; 4. Design and testing of an electronic nose system sensitive to the aroma of truffles; 5. DAQ System for Ultrasonic Transducer Evaluation under Spread Spectrum Excitation; 6. Optimal Data Fusion in Decentralized Stochastic Unknown Input Observers; 7. Odor Classification by Neural Networks; 8. ANFIS Based Approach for Improved Multisensors Signal Processing; 9. Neuro-Fuzzy Sensor's Linearization Based FPGA; 10. Interpolation Method of Nonlinear Dynamical Systems Identification Based on Volterra Model in Frequency Domain; 11. Training Cellular Automata for Hyperspectral Image Segmentation

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