LEADER 04740nam 22006735 450 001 9910299481003321 005 20251117074557.0 010 $a3-319-05278-0 024 7 $a10.1007/978-3-319-05278-6 035 $a(CKB)3710000000093950 035 $a(EBL)1782224 035 $a(OCoLC)878424116 035 $a(SSID)ssj0001186896 035 $a(PQKBManifestationID)11695318 035 $a(PQKBTitleCode)TC0001186896 035 $a(PQKBWorkID)11242196 035 $a(PQKB)10610053 035 $a(MiAaPQ)EBC1782224 035 $a(DE-He213)978-3-319-05278-6 035 $a(PPN)17782235X 035 $a(EXLCZ)993710000000093950 100 $a20140308d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIntelligence for Embedded Systems $eA Methodological Approach /$fby Cesare Alippi 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (296 p.) 300 $aDescription based upon print version of record. 311 08$a3-319-05277-2 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- From Metrology to Digital Data -- Uncertainty, Informatton 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. 330 $aAddressing 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 evaluating 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. 606 $aElectronics 606 $aMicroelectronics 606 $aComputational intelligence 606 $aComputers, Special purpose 606 $aElectronics and Microelectronics, Instrumentation$3https://scigraph.springernature.com/ontologies/product-market-codes/T24027 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aSpecial Purpose and Application-Based Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I13030 615 0$aElectronics. 615 0$aMicroelectronics. 615 0$aComputational intelligence. 615 0$aComputers, Special purpose. 615 14$aElectronics and Microelectronics, Instrumentation. 615 24$aComputational Intelligence. 615 24$aSpecial Purpose and Application-Based Systems. 676 $a004.6 676 $a006.22 676 $a006.3 676 $a620 700 $aAlippi$b Cesare$4aut$4http://id.loc.gov/vocabulary/relators/aut$0948385 906 $aBOOK 912 $a9910299481003321 996 $aIntelligence for Embedded Systems$92143763 997 $aUNINA