Intelligent Systems in Cybernetics and Automation Control Theory

Springer (Verlag)
  • 1. Auflage
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  • erschienen am 29. August 2018
  • Buch
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  • Softcover
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  • 356 Seiten
978-3-030-00183-4 (ISBN)
This book presents real-world problems and pioneering research that reflect novel approaches to cybernetics, algorithms and software engineering in the context of intelligent systems. It gathers the peer-reviewed proceedings of the 2nd Computational Methods in Systems and Software 2018 (CoMeSySo 2018), a conference that broke down traditional barriers by being held online. The goal of the event was to provide an international forum for discussing the latest high-quality research results.
1st ed. 2019
  • Englisch
  • Cham
  • |
  • Schweiz
Springer International Publishing
  • Für Beruf und Forschung
  • 162 s/w Abbildungen, 100 farbige Tabellen
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  • 100 Tables, color; 162 Illustrations, black and white; XIII, 342 p. 162 illus.
  • Höhe: 235 mm
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  • Breite: 155 mm
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  • Dicke: 19 mm
  • 540 gr
978-3-030-00183-4 (9783030001834)
weitere Ausgaben werden ermittelt
Efficient Framework to Secure Communication in IoT using Novel Finite Field Encryption.- A Novel Template based Data Structurization Scheme for Normalizing and Analyzing Medical data.- A Novel Design and Implementation of Imaging Chip using AXI Protocol for MPSOC on FPGA.- Simple Modeling of Mobile Foreground Detection using Probabilistic Linear Estimation Approach.- An Agent-Architecture for Automated Decision Making on the Semantic Web.- An Efficient Hardware Realization of DCT Based Color Image Mosaicing System on FPGA.- A Recovery Technique for the Fog-computing-based Information and Control systems.- An Examination of Message Ferry Movement for Delay Tolerant Networks.- Comparison of ERP Systems with Blockchain Platform.- Data extraction from the distorted DCF77 signal captured using low-cost receivers.- Efficiency Comparison of Modern Computer Languages: Sorting Benchmark.- Input Output data converter for the Math engine in an Expert System.- Adaptive Software System for Optimization of the Admission and Management Process for Doctoral Students.

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