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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

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Stefan Henkler

    1. Hamm-Lippstadt University of Applied Sciences, Hamm, Germany

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  2. Márcio Kreutz

    1. Federal University of Rio Grande do Norte, Natal, Brazil

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  3. Marco A. Wehrmeister

    1. Federal University of Technology – Paraná, Curitiba, Brazil

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  4. Marcelo Götz

    1. Federal University of Rio Grande do Sul, Porto Alegre, Brazil

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  5. Achim Rettberg

    1. Hamm-Lippstadt University of Applied Sciences, Hamm, Germany

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Part of the book series: IFIP Advances in Information and Communication Technology (IFIPAICT, volume 669)

Included in the following conference series:

Conference proceedings info: IESS 2022.

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Table of contents (12 papers)

  1. Front Matter

    Pages i-xii
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  2. Design Methods and Model-Driven Engineering

    1. Front Matter

      Pages 1-1
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    2. Evaluating the Perceptual Properties of Crosscutting Concerns Occurrence Points Specifications in Embedded Software

      • Marco A. Wehrmeister, Rodrigo S. C. Oliveira, Douglas B. Renaux
      Pages 3-15

    3. Simulation of Timing Attacks and Challenges for Early Side-Channel Security Analysis

      • Marcel Schoppmeier, Paula Herber
      Pages 16-27

    4. Adaptation for Energy Saving in Time-Triggered Systems Using Meta-scheduling with Sample Points

      • Pascal Muoka, Oghenemaro Umuomo, Daniel Onwuchekwa, Roman Obermaisser
      Pages 28-40

    5. Communication Layer Architecture for a Production Line Digital Twin Using Hierarchical Colored Petri Nets

      • Adam Sulak, Charles Steinmetz, Achim Rettberg
      Pages 41-50

  3. Hardware Architectures for Embedded Systems

    1. Front Matter

      Pages 51-51
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    2. Exploiting Heterogeneity in PIM Architectures for Data-Intensive Applications

      • Rafael Fão de Moura, Luigi Carro
      Pages 53-64

    3. Demonstrating Scalability of the Checkerboard GPC with SystemC TLM-2.0

      • Yutong Wang, Arya Daroui, Rainer Dömer
      Pages 65-77

    4. MAFAT: Memory-Aware Fusing and Tiling of Neural Networks for Accelerated Edge Inference

      • Jackson Farley, Andreas Gerstlauer
      Pages 78-88

    5. Memristor-only LSTM Acceleration with Non-linear Activation Functions

      • Rafael Fão de Moura, João Paulo C. de Lima, Luigi Carro
      Pages 89-100

    6. Minimizing Memory Contention in an APNG Encoder Using a Grid of Processing Cells

      • Vivek Govindasamy, Emad Arasteh, Rainer Dömer
      Pages 101-112

  4. Engineering Applications of Artificial Intelligence Targeting Embedded Systems

    1. Front Matter

      Pages 113-113
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    2. Analysing the Characteristics of Neural Networks for the Recognition of Sugar Beets

      • Luca Brodo, Stefan Henkler, Kristian Rother
      Pages 115-126

    3. Synthetic Data for Machine Learning on Embedded Systems in Precision Agriculture

      • Olaniyi Bayonle Alao, Kristian Rother, Stefan Henkler
      Pages 127-138

    4. Using Network Architecture Search for Optimizing Tensor Compression

      • Arunachalam Thirunavukkarasu, Domenik Helms
      Pages 139-150

  5. Back Matter

    Pages 151-151
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Other volumes

  1. Designing Modern Embedded Systems: Software, Hardware, and Applications

Keywords

About this book

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.


Editors and Affiliations

  • Hamm-Lippstadt University of Applied Sciences, Hamm, Germany

    Stefan Henkler, Achim Rettberg

  • Federal University of Rio Grande do Norte, Natal, Brazil

    Márcio Kreutz

  • Federal University of Technology – Paraná, Curitiba, Brazil

    Marco A. Wehrmeister

  • Federal University of Rio Grande do Sul, Porto Alegre, Brazil

    Marcelo Götz

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