Smart Adaptive Systems On Silicon
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Smart Adaptive Systems on Silicon
Author: Maurizio Valle
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-06-05
Intelligent/smart systems have become common practice in many engineering applications. On the other hand, current low cost standard CMOS technology (and future foreseeable developments) makes available enormous potentialities. The next breakthrough will be the design and development of "smart adaptive systems on silicon" i.e. very power and highly size efficient complete systems (i.e. sensing, computing and "actuating" actions) with intelligence on board on a single silicon die. Smart adaptive systems on silicon will be able to "adapt" autonomously to the changing environment and will be able to implement "intelligent" behaviour and both perceptual and cognitive tasks. At last, they will communicate through wireless channels, they will be battery supplied or remote powered (via inductive coupling) and they will be ubiquitous in our every day life. Although many books deal with research and engineering topics (i.e. algorithms, technology, implementations, etc.) few of them try to bridge the gap between them and to address the issues related to feasibility, reliability and applications. Smart Adaptive Systems on Silicon, though not exhaustive, tries to fill this gap and to give answers mainly to the feasibility and reliability issues. Smart Adaptive Systems on Silicon mainly focuses on the analog and mixed mode implementation on silicon because this approach is amenable of achieving impressive energy and size efficiency. Moreover, analog systems can be more easily interfaced with sensing and actuating devices.
Do Smart Adaptive Systems Exist?
Do Smart Adaptive Systems Exist? is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence. It is therefore not intended as a collection of the most recent research results, but as a practical guide for experts from other areas and industrial users interested in building solutions to their problems using intelligent techniques. One of the main issues covered is an attempt to answer the question of how to select and/or combine suitable intelligent techniques from a large pool of potential solutions. Another attractive feature of the book is that it brings together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities who will provide their views on how these different intelligent technologies have contributed and will contribute to creation of smart adaptive systems of the future.
Smart CMOS Image Sensors and Applications
Because of their high noise immunity and low static power supply drain, complementary metal-oxide-semiconductor (CMOS) devices produce less heat than other forms of logic and allow a high density of logic functions on a chip. These beneficial characteristics have fueled the use of CMOS image sensors in consumer electronics, robot vision, biotechnology, and medicine. With the introduction of smart functions in CMOS image sensors, even more versatile applications are now possible. Exploring this popular technology, Smart CMOS Image Sensors and Applications focuses on the smart functions implemented in CMOS image sensors as well as the applications of these sensors. After discussing the history of smart CMOS image sensors, the book describes the fundamental elements of CMOS image sensors. It covers some optoelectronic device physics and introduces typical CMOS image sensor structures, such as an active pixel sensor (APS). Subsequent chapters elucidate the functions and materials of smart CMOS image sensors and present examples of smart imaging. The final chapter explores various applications of smart CMOS image sensors. Several appendices supply a range of information on constants, illuminance, MOSFET characteristics, and optical resolution. This book provides a firm foundation in existing smart CMOS image sensor technology and applications, preparing you for the next phase of smart CMOS image sensors.