Designing Modern Embedded Systems: Software, Hardware, and Applications
portes grátis
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
Wehrmeister, Marco A.; Kreutz, Marcio; Goetz, Marcelo; Rettberg, Achim; Henkler, Stefan
Springer International Publishing AG
06/2023
151
Dura
Inglês
9783031342134
15 a 20 dias
Descrição não disponível.
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.
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Embedded Software;Embedded Hardware;Cyber-Physical Systems;System C;Machine Learning;Edge Computing;Time-Triggered Systems;Meta-Scheduling;Digital Twin
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
