スマート組み込みシステム：先端と応用 Smart Embedded Systems : Advances and Applications

著者名：Sinha, Arun (EDT)/Sharma, Abhishek (EDT)/Pasini Melek, Luiz Alberto (EDT)/Caviglia, Daniele (EDT)

CRC Press（2023/12/01発売）

• 言語：ENG
• ISBN：9781032404172
• eISBN：9781003810353

Description

"Smart Embedded Systems: Advances and Applications" is a comprehensive guide that demystifies the complex world of embedded technology. The book journeys through a wide range of topics from healthcare to energy management, autonomous robotics, and wireless communication, showcasing the transformative potential of intelligent embedded systems in these fields. This concise volume introduces readers to innovative techniques and their practical applications, offers a comparative analysis of wireless protocols, and provides efficient resource allocation strategies in IoT-based ecosystems. With real-world examples and in-depth case studies, it serves as an invaluable resource for students and professionals seeking to harness the power of embedded technology to shape our digital future.

Salient Features:

1. The book provides a comprehensive coverage of various aspects of smart embedded systems, exploring their design, implementation, optimization, and a range of applications. This is further enhanced by in-depth discussions on hardware and software optimizations aimed at improving overall system performance.
2. A detailed examination of machine learning techniques specifically tailored for data analysis and prediction within embedded systems. This complements the exploration of cutting-edge research on the use of AI to enhance wireless communications.
3. Real-world applications of these technologies are extensively discussed, with a focus on areas such as seizure detection, noise reduction, health monitoring, diabetic care, autonomous vehicles, and communication systems. This includes a deep-dive into different wireless protocols utilized for data transfer in IoT systems.
4. This book highlights key IoT technologies and their myriad applications, extending from environmental data collection to health monitoring. This is underscored by case studies on the integration of AI and IoT in healthcare, spanning topics from anomaly detection to informed clinical decision-making. Also featured is a detailed evaluation and comparison of different system implementations and methodologies

This book is an essential read for anyone interested in the field of embedded systems. Whether you're a student looking to broaden your knowledge base, researchers looking in-depth insights, or professionals planning to use this cutting-edge technology in real-world applications, this book offers a thorough grounding in the subject.

Table of Contents

Chapter 1

A reconfigurable FPGA based epileptic seizures detection system with 144 µs detection time

Swetha Annangi and Arun Kumar Sinha

Chapter 2

Hardware architecture for denoising of EOG signal using differential evolution algorithm V. H. Prasad Reddy, Gundugonti Kishore Kumar and Puli Kishore Kumar

Chapter 3

Implementation considerations for an intelligent embedded e-Health system and experimental results for EEG-based activity recognition

Stefan Oniga, Iuliu Alexandru Pap and Tamas Majoros

Chapter 4

Embedded and computational intelligence for diabetic healthcare: An overview

Anupama Namburu Aravapalli Rama Satish Bhanu Teja Veeramachaneni, Sneha Edupuganti

Kothamasu Venkata Naga Durga Sai Harshith

Chapter 5

A semi-definite programming based design of a robust depth control for a submersible autonomous robot through state feedback control

Vadapalli Siddhartha and Subhasish Mahapatra

Chapter 6

Embedded system with in-memory compute neuromorphic accelerator for multiple applications

Afroz Fatima and Abhijit Pethe

Chapter 7

Artificial intelligence driven radio channel capacity in 5G, 6G wireless communication system in the presence of vegetation: Prospect and challenges

Sachin Kumar, T. Senthil Siva Subramanian and Kapil Sharma

Chapter 8

Smart cabin for office using embedded systems and sensors

Anirban Dasgupta, Abhranil Das, parishmita Deka and Soham Das

Chapter 9

Wireless protocols for swarm of sensors: Sigfox, Lorawan, and Nb-IoT

Luiz Alberto Pasini Melek

Chapter 10

Design and test of thermal energy harvester for self-powered autonomous electronic load

Arun Kumar Sinha

Chapter 11

Managing concept drift in IoT health data streams: A dynamic adaptive weighted ensemble approach

M. Geetha Pratyusha and Arun Kumar Sinha

Chapter 12

GraLSTM: A distributed learning model for efficient IoT resource allocation in healthcare M. Geetha Pratyusha and Arun Kumar Sinha