Dependable IoT for Human and Industry covers the main aspects of Internet of Things and IoT based systems such as global issues of applications, modeling, development and implementation of dependable IoT for different human and industry domains.
The aim of this book is to provide a platform to readers through which they can access the applications of 'Internet of Things' in the Automotive field. The book comprises of ten chapters for designing different independent prototypes for the automotive applications.
This book provides an overview of the next generation Internet of Things (IoT), ranging from... Læs mere
Rad-hard Semiconductor Memories is intended for researchers and professionals interested in understanding how to design and make a preliminary evaluation of rad-hard... Læs mere
Low Power Circuit Design Using Advanced CMOS Technology is a summary of lectures from the first Advanced CMOS Technology Summer School (ACTS) 2017.
Adaptive Middleware for the Internet of Things introduces a scalable, interoperable and privacy-preserving approach to realize IoT... Læs mere
Circuits and Systems for Biomedical Applications-UKCAS 2018 covers several advanced topics in the area of Devices, Analog and Mixed-Signal... Læs mere
This book contains a selection of tutorial and invited presentations that were given at the IEEE CICC 2017 in Austin, Texas. The book is part of an educational initiative of the IEEE Solid-State Circuits Society to offer its members state of the art educational material.
The present book provides a comprehensive description of some of the most representative solutions that offered by these three projects, along with the ways these solutions can be combined in order to achieve multiplier effects and maximize the benefits of their use.
This manual is mainly aimed at instructors who want to offer a practical view of the process of modeling, designing and developing an IT start-up. Additionally, it can be individually used by entrepreneurs who wish to launch their start-up businesses in IT field.
This book focuses on the issue of optimizing radio resource allocation (RRA) and user admission control (AC) for multiple multicasting sessions on a single high altitude platform (HAP) with multiple antennas on-board.
Real-Time Multi-Chip Neural Network for Cognitive Systems presents novel real-time, reconfigurable, multi-chip SNN system architecture based on localized communication, which effectively reduces the communication cost to a linear growth.