Intelligence for Embedded Systems (Record no. 51770)

000 -LEADER
fixed length control field 04218nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-3-319-05278-6
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420220219.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140308s2014 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319052786
-- 978-3-319-05278-6
082 04 - CLASSIFICATION NUMBER
Call Number 621.381
100 1# - AUTHOR NAME
Author Alippi, Cesare.
245 10 - TITLE STATEMENT
Title Intelligence for Embedded Systems
Sub Title A Methodological Approach /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIX, 283 p. 81 illus., 73 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- From Metrology to Digital Data -- Uncertainty, Informaiton and Learning Mechanisms -- Randomized Algorithms -- Robustness Analysis -- Emotional Cognitive Mechanisms for Embedded Systems -- Performance Estimation and Probably Approximately Correct Computation -- Intelligent Mechanisms in Embedded Systems -- Learning in Nonstationary and Evolving Environments -- Fault Diagnosis Systems.
520 ## - SUMMARY, ETC.
Summary, etc Addressing current issues of which any engineer or computer scientist should be aware, this monograph is a response to the need to adopt a new computational paradigm as the methodological basis for designing pervasive embedded systems with sensor capabilities. The requirements of this paradigm are to control complexity, to limit cost and energy consumption, and to provide adaptation and cognition abilities allowing the embedded system to interact proactively with the real world. The quest for such intelligence requires the formalization of a new generation of intelligent systems able to exploit advances in digital architectures and in sensing technologies. The book sheds light on the theory behind intelligence for embedded systems with specific focus on: �        robustness (the robustness of a computational flow and its evaluation); �        intelligence (how to mimic the adaptation and cognition abilities of the human brain), �        the capacity to learn in non-stationary and evolving environments by detecting changes and reacting accordingly; and �        a new paradigm that, by accepting results that are correct in probability, allows the complexity of the embedded application the be kept under control. Theories, concepts and methods are provided to motivate researchers in this exciting and timely interdisciplinary area. Applications such as porting a neural network from a high-precision platform to a digital embedded system and evaluat ing its robustness level are described. Examples show how the methodology introduced can be adopted in the case of cyber-physical systems to manage the interaction between embedded devices and physical world.. Researchers and graduate students in computer science and various engineering-related disciplines will find the methods and approaches propounded in Intelligence for Embedded Systems of great interest. The book will also be an important resource for practitioners working on embedded systems and applications.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-05278-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2014.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Special purpose computers.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electronics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Microelectronics.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electronics and Microelectronics, Instrumentation.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Special Purpose and Application-Based Systems.
912 ## -
-- ZDB-2-ENG

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