Designing Modern Embedded Systems: Software, Hardware, and Applications (eBook, PDF)

7th IFIP TC 10 International Embedded Systems Symposium, IESS 2022, Lippstadt, Germany, November 3-4, 2022, Proceedings
Redaktion: Henkler, Stefan; Rettberg, Achim; Götz, Marcelo; Wehrmeister, Marco A.; Kreutz, Márcio

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 7th IFIP TC 10 International Embedded Systems Symposium, IESS 2022, held in Lippstadt, Germany, during November 3-4, 2022. The 10 full revised papers and 2 short papers presented were carefully reviewed and selected from 13 submissions. The presented research and technical works cover system-level design methods, algorithms, verification and validation techniques, estimation of system properties and characteristics, performance analysis, and real-time systems design. Also, the book presents industrial and real-world application case studies that discuss the challenges and realizations of modern embedded systems, especially when it comes to including artificial intelligence algorithms and techniques in embedded systems.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 151
• Erscheinungstermin: 10. Juni 2023
• Englisch
• ISBN-13: 9783031342141
• Artikelnr.: 68210223

Inhaltsangabe

Evaluating the Perceptual Properties of Crosscutting Concerns Occurrence Points Specifications in Embedded Software.- Simulation of Timing Attacks and Challenges for Early Side-Channel Security Analysis.- Adaptation for Energy Saving in Time-triggered Systems Using Meta-scheduling with Sample Points.- Communication Layer Architecture for a Production Line Digital Twin Using Hierarchical Colored Petri Nets.- Exploiting Heterogeneity in PIM Architectures for Data-intensive Applications.- Demonstrating Scalability of the Checkerboard GPC with SystemC TLM-2.- MAFAT: Memory-Aware Fusing and Tiling of Neural Networks for Accelerated Edge Inference.- Memristor-only LSTM Acceleration with Non-linear Activation Functions.- Minimizing Memory Contention in an APNG Encoder Using a Grid of Processing Cells.- Analyzing the Characteristics of Neural Networks for the Recognition of Sugar Beets.- Synthetic Data for Machine Learning on Embedded Systems in Precision Agriculture.- Using Network Architecture Search for Optimizing Tensor Compression.