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henkler stefan (curatore); kreutz márcio (curatore); wehrmeister marco a. (curatore); götz marcelo (curatore); rettberg achim (curatore) - designing modern embedded systems: software, hardware, and applications

Designing Modern Embedded Systems: Software, Hardware, and Applications 7th IFIP TC 10 International Embedded Systems Symposium, IESS 2022, Lippstadt, Germany, November 3–4, 2022, Proceedings

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 06/2024
Edizione: 2023





Trama

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.






Sommario

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.











Altre Informazioni

ISBN:

9783031342165

Condizione: Nuovo
Collana: IFIP Advances in Information and Communication Technology
Dimensioni: 235 x 155 mm
Formato: Brossura
Illustration Notes:XII, 151 p. 64 illus., 48 illus. in color.
Pagine Arabe: 151
Pagine Romane: xii


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