LEADER 00821nam0-2200289 --450 001 9910519293303321 005 20220203132704.0 010 $a978-88-93631-16-7 100 $a20220203d2020----kmuy0itay5050 ba 101 0 $aita$cita 102 $aIT 105 $ay 001yy 200 1 $a<>creatore alla sbarra$eAuschwitz e il problema del male$fGiuseppe Pulina 210 $aBologna$cDiogene Multimedia$d2020 215 $a144 p.$d21 225 1 $aSaggi 320 $aContiene bibl. (pp. 129-139) 610 0 $aMale 676 $a111.84$v23$zita 700 1$aPulina,$bGiuseppe$f<1963- >$0299687 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910519293303321 952 $aXIV M 508$b2861/2021$fFSPBC 959 $aFSPBC 996 $aCreatore alla sbarra$92583838 997 $aUNINA LEADER 00954nam0 22002411i 450 001 UON00136327 005 20231205102822.281 100 $a20020107d1981 |0itac50 ba 101 $aeng 102 $aIN 105 $a|||| 1|||| 200 1 $aHwwymns for drowning$epoems for Visnu$fNammalvar, translated from Tamil by A. K. Ramanujan 210 $aPrincetom$cPrinceton University Press$d1981 215 $aXVIII, 176 p.$d21 cm 686 $aSI VI LB$cSUBCONT. 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K.$3UONV003189 801 $aIT$bSOL$c20240220$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00136327 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI SI VI LB 009 $eSI SA 32918 5 009 996 $aHwwymns for drowning$91315908 997 $aUNIOR LEADER 04823nam 22008055 450 001 9910299715503321 005 20200701072541.0 010 $a3-319-05380-9 024 7 $a10.1007/978-3-319-05380-6 035 $a(CKB)2560000000148716 035 $a(EBL)1698355 035 $a(OCoLC)876368073 035 $a(SSID)ssj0001204823 035 $a(PQKBManifestationID)11787169 035 $a(PQKBTitleCode)TC0001204823 035 $a(PQKBWorkID)11179768 035 $a(PQKB)10474492 035 $a(MiAaPQ)EBC1698355 035 $a(DE-He213)978-3-319-05380-6 035 $a(PPN)178318892 035 $a(EXLCZ)992560000000148716 100 $a20140401d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCapturing Connectivity and Causality in Complex Industrial Processes /$fby Fan Yang, Ping Duan, Sirish L. Shah, Tongwen Chen 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (99 p.) 225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-530X 300 $aDescription based upon print version of record. 311 $a3-319-05379-5 320 $aIncludes bibliographical references. 327 $aIntroduction -- Examples of Applications for Connectivity and Causality Analysis -- Description of Connectivity and Causality -- Capturing Connectivity and Causality from Process Knowledge -- Capturing Causality from Process Data -- Case Studies. 330 $aThis brief reviews concepts of inter-relationship in modern industrial processes, biological and social systems. Specifically ideas of connectivity and causality within and between elements of a complex system are treated; these ideas are of great importance in analysing and influencing mechanisms, structural properties and their dynamic behaviour, especially for fault diagnosis and hazard analysis. Fault detection and isolation for industrial processes being concerned with root causes and fault propagation, the brief shows that, process connectivity and causality information can be captured in two ways: ·      from process knowledge: structural modeling based on first-principles structural models can be merged with adjacency/reachability matrices or topology models obtained from process flow-sheets described in standard formats; and ·      from process data: cross-correlation analysis, Granger causality and its extensions, frequency domain methods, information-theoretical methods, and Bayesian networks can be used to identify pair-wise relationships and network topology. These methods rely on the notion of information fusion whereby process operating data is combined with qualitative process knowledge, to give a holistic picture of the system. 410 0$aSpringerBriefs in Applied Sciences and Technology,$x2191-530X 606 $aComputational complexity 606 $aMathematical models 606 $aAutomatic control 606 $aChemical engineering 606 $aStatistics 606 $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022 606 $aMathematical Modeling and Industrial Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M14068 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aIndustrial Chemistry/Chemical Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/C27000 606 $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020 615 0$aComputational complexity. 615 0$aMathematical models. 615 0$aAutomatic control. 615 0$aChemical engineering. 615 0$aStatistics. 615 14$aComplexity. 615 24$aMathematical Modeling and Industrial Mathematics. 615 24$aControl and Systems Theory. 615 24$aIndustrial Chemistry/Chemical Engineering. 615 24$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 676 $a670.42 700 $aYang$b Fan$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721285 702 $aDuan$b Ping$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aShah$b Sirish L$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aChen$b Tongwen$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299715503321 996 $aCapturing Connectivity and Causality in Complex Industrial Processes$91979674 997 $aUNINA