Smart Embedded Systems and Applications / editor, Saad Motahhir.

Format:

Book

Contributor:

Motahhir, Saad, editor.

Series:

Electronic Materials, Circuits and Devices'

Electronic Materials, Circuits and Devices Series

Language:

English

Subjects (All):

Embedded computer systems.

Physical Description:

1 online resource (346 pages)

Edition:

First edition.

Place of Publication:

Gistrup, Denmark : River Publishers, [2022]

Summary:

This book covers a wide range of challenges, technologies and state of the art for the design, development and realization of smart embedded systems and their applications.

Contents:

Cover

Half-Title

Smart Embedded Systems andApplications

RIVER PUBLISHERS SERIES IN ELECTRONIC MATERIALS, CIRCUITS AND DEVICES

Title

Copyrights

Dedicate

Contents

Preface

Acknowledgments

List of Reviewers

List of Figures

List of Tables

List of Notations and Abbreviations

SECTION 1 Smart Embedded Systems for the Automotive Industry

1Functional Safety Audit/Assessment for Automotive Engineering

Abstract

1.1 Introduction and Objectives

1.2 ISO 26262 and ASIL Overview

1.3 Functional Safety Audit/Assessment Program

1.3.1 Internal functional safety audit procedure

1.3.1.1 Definition and safety compliance procedures phases

1.3.1.2 Objective and scope of internal FS audit

1.3.1.3 Internal functional safety audit procedure:

1.3.1.4 Non-Conformance

1.3.2 Internal functional safety assessment procedure

1.3.2.1 Objective and scope of internal FS assessment

1.3.2.2 Project FSA procedure:

1.3.3 External or supplier functional safety audit and functional safety assessment

1.4 Functional Safety Audit / Assessment Planning

1.5 Functional Safety Audit / Assessment Preparation

1.6 Functional Safety Audit / Assessment Performance

1.7 Functional Safety Audit / Assessment Report and Follow-up

1.8 Conclusion

References

2Comparison between AUTOSAR Platforms with Functional Safety for Automotive Software Architectures

2.1 Introduction

2.2 Overview of the Future E/E Architectures

2.2.1 Combination of different software platforms

2.2.2 Service oriented communication

2.3 The AUTOSAR Adaptive Platform

2.4 AUTOSAR Foundation

2.5 Classic AUTOSAR Vs Adaptive AUTOSAR

2.6 Communication Between AUTOSAR Platforms

2.7 Safety Preliminaries for E/E Architectures

2.7.1 Functional safety overview

2.7.2 ASIL determination

2.8 Conclusion.

References

3Hardware-in-the-Loop System for Electronic Control Unit Software and Calibration Development

3.1 Introduction

3.2 Automotive Embedded Systems Overview

3.2.1 Automotive systems

3.2.2 Electronic control units

3.2.3 Hardware-in-the-loop systems

3.3 HIL for Engine Calibration: A Case Study

3.3.1 System setup

3.3.2 Signal manipulation

3.3.3 Engine model

3.3.4 Overall system

3.4 Experimental Evaluation and Measurements

3.4.1 Experimental setup

3.4.2 Experiment measurements

3.4.3 Engine model accuracy results

3.4.4 Cam-Crank signal generator results

3.4.5 Open-loop performance

3.4.6 Closed-loop performance

3.5 Conclusion

3.6 Acknowledgements

SECTION 2 Utilizing Embedded Systems for UAVs

4 Processor in the Loop Experiments of an Adaptive Trajectory Tracking Control for Quadrotor UAVs

4.1 Introduction

4.2 Quadrotor Modeling

4.3 Controller Design

4.4 Processor-in-the-Loop Experiments

4.5 Conclusion

SECTION 3 Smart Embedded Systems in Biomedicine

5A Detailed Review on Embedded Based Heartbeat Monitoring Systems

5.1 Introduction

5.2 Measuring Methods

5.3 Categorisation of Algorithms for Heartbeat Detection

5.3.1 Categorisation of heartbeat displacement models

5.3.2 Demodulation techniques

5.4 Various Embedded Applications in the Medical Field

5.4.1 Software related to embedded systems

5.5 Embedded System Hardware for Heartbeat Monitoring

5.6 Conclusion

6Embedded Systems in Biomedical Engineering: Case of ECG Signal Processing Using Multicores CPU and FPGA Architectures

6.1 Introduction

6.2 Embedded System Architectures

6.2.1 Embedded systems overview

6.2.2 Embedded systems architectures

6.2.2.1 Standalone architectures.

6.2.2.2 Heterogeneous architectures

6.3 Embedded Systems Applications in Biomedical Engineering: Case of the Pre-treatment of ECG Signal

6.3.1 The proposed techniques for embedded systems implementations

6.3.1.1 ADTF technique

6.3.1.2 DWT Technique

6.3.1.3 Hybrid DWT-ADTF technique

6.3.2 Implementation of the ADTF technique usingmulti-CPU architectures

6.3.3 HLS implementation of ADTF techniqueusing FPGA architecture

6.3.4 VHDL implementation of ADTF techniqueusing FPGA architecture

6.3.5 VHDL implementation of hybrid DWT-ADTF technique using FPGA architecture

6.4 Conclusions

7Acquisition and Processing of SurfaceEMG Signal with an Embedded Compact RIO-based System

7.1 Introduction

7.2 EMG Signal Conditioning Circuit

7.2.1 Instrumentation amplifier

7.2.2 Band pass filter

7.2.3 Analog-to-digital converter

7.3 EMG Signal Processing

7.3.1 Flowchart description

7.4 Implementation Results

7.4.1 Implementation on compact RIO-9035 controller

7.4.2 EMG instrumentation based on NI-ELVIS II+

7.4.3 Real-time evaluation

7.5 Conclusion

7.6 Funding

7.7 ORCID ID

SECTION 4 The Application of Embedded System in Image Processing

8Quick and Efficient Hardware-Software Design Space Exploration UsingVivado-HLS: A Case Study of Adaptive Algorithm for Image Denoising

8.1 Introduction

8.2 High-level Synthesis

8.3 Adaptive Algorithm

8.3.1 LMS algorithm

8.3.2 NLMS algorithm

8.4 Implementation and Results

8.4.1 Phase I

8.4.2 Phase II

8.4.3 Phase III

8.5 Conclusion and Future Scope

9Fast FPGA Implementation of A Moving Object Detection System

9.1 Introduction

9.2 Detect Moving Objects Algorithm

9.3 Implementation and Experiment Results

9.3.1 Software simulation and evaluation.

9.3.2 Embedded objects detection system

9.4 Conclusion

10Face Recognition based on CNN, Hog and Haar Cascade Methods using RaspberryPi v4 Model B

10.1 Introduction

10.2 Implementation Methods

10.2.1 Method 1. Haar cascade

10.2.2 Method 2. Histogram of Oriented Gradients (HOG)

10.2.3 Method 3. Convolutional Neural Networks (CNN)

10.2.3.1 Convolution layer

10.2.3.2 Pooling layer

10.2.3.3 Fully connected layer

10.3 Deployment Environments and Results

10.3.1 Hardware environment

10.3.1.1 Raspberry Pi4

10.3.1.2 Camera Pi V2

10.3.2 Software environment

10.3.2.1 Python

10.3.3 Application process/steps

10.3.3.1 Dataset creation

10.3.3.2 Training part

10.3.3.3 Recognition part

10.3.4 Implementation results and comparison

10.4 Conclusion

SECTION 5 Internet of Things BasedEmbedded System

11Survey Review on Artificial Intelligence and Embedded Systems for Agriculture Safety: A proposed IoT Agro-meteorology System for Local Farmers in Morocco

11.1 Introduction

11.2 AI-enabled Embedded Systems for Agriculture

11.2.1 Precision in water management

11.2.2 Integrated food safety

11.2.3 Crop productivity and fertility

11.2.4 Automation: Unmanned aerial vehicles (UAVs) and robots

11.2.5 Weather predictive analysis

11.3 Proposed Solution for Familial Agriculture andSmall Farmers

11.3.1 Description of the study area

11.3.2 Model architecture

11.3.3 Wireless sensors networks for agricultural Forecasting

11.3.4 Communication modules

11.4 Discussions: Questions and Challenges Raised by the use of AI and IoT in Agriculture

11.4.1 The question of trust

11.4.2 The question of applying AI stochastic algorithms

11.4.3 The question of data

11.4.4 The question of interpretability.

11.5 Conclusion and Future Works

Appendix A

Appendix B

Appendix C

Appendix D

12IoT-Based Intelligent Handicraft System Using NFC Technology

12.1 Introduction

12.2 Preliminary and Related Work

12.3 System Design

12.3.1 Data acquisition

12.3.2 Data analysis

12.4 System Implementation

12.4.1 System workflow

12.4.2 Database design

12.4.3 Mobile application prototype

12.5 Conclusion

12.6 Acknowledgments

SECTION 6 System on Chip and Co-design

13SoC Power Estimation: A Short Review

13.1 Introduction

13.2 Background

13.2.1 Levels of parallelism

13.2.2 Advances in processor microarchitecture

13.2.2.1 Single cycle processor

13.2.2.2 Multi cycle processor

13.2.2.3 Pipelining

13.2.2.4 Superscalar processor

13.2.2.5 Vector processor

13.2.2.6 Multicore processors

13.2.3 Abstraction levels classification

13.2.3.1 Layout

13.2.3.2 Gate level

13.2.3.3 Register transfer level

13.2.3.4 Cycle accurate level

13.2.3.5 Transactional level modeling

13.2.3.6 Algorithmic level

13.3 Physical Power Models

13.3.1 Leakage power

13.3.2 Dynamic power

13.3.3 Short-circuit power

13.4 Power Estimation Techniques

13.4.1 WATTCH

13.4.2 AVALACHE

13.4.3 PowerVIP

13.4.4 Hybrid System Level power consumptionestimation (HSL)

13.4.5 Early Design Power Estimation (EDPE)

13.4.6 Recent power and temperature modelling method

13.5 Discussion

13.6 Proposed Technique

13.7 Conclusion

14Hardware/Software Partitioning Algorithms: A Literature Review and New Perspectives

14.1 Introduction

14.2 Overview of Partitioning Problem

14.3 Exact Algorithms

14.3.1 Integer linear programming

14.3.2 Dynamic programming

14.3.3 Branch and bound.

14.4 Classical Heuristic Approaches.

Notes:

Includes bibliographical references and index.

Description based on print version record.

Other Format:

Print version: Motahhir, Saad Smart Embedded Systems and Applications

ISBN:

9781523156337

1523156333

9781003375692

1003375693

9781000849684

1000849686

9781000849660

100084966X

9788770227711

8770227713

OCLC:

1347214928