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003			ES-MaUEC
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020			_a9783031342141
024	7		_a10.1007/978-3-031-34214-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.758 _b2023 EB
245	0	0	_aDesigning Modern Embedded Systems : _bSoftware, Hardware, and Applications : 7th IFIP TC 10 International Embedded Systems Symposium, IESS 2022, Lippstadt, Germany, November 3-4, 2022, Proceedings _cedited by Stefan Henkler, Márcio Kreutz, Marco A. Wehrmeister, Marcelo Götz, Achim Rettberg
250			_a1st ed 2023
264		1	_aCham _bSpringer Nature Switzerland _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aIFIP Advances in Information and Communication Technology _x1868-422X _v669
505	0		_aEvaluating 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.
520			_aThis 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.
988			_aSpringer_Computer_2023
650		7	_2embne _9152630 _aIngeniería del software
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-34214-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2024 _dz _ean _zSI