LEADER 01613nam a22003371i 4500 001 991003224299707536 005 20040202102342.0 008 040802s2002 it |||||||||||||||||ita 035 $ab13043146-39ule_inst 035 $aARCHE-099575$9ExL 040 $aBiblioteca Interfacoltà$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 082 04$a346 082 4$a418.02 245 00$aTraduttori e giuristi a confronto :$binterpretazione traducente e comparazione del discorso giuridico /$ca cura di Leandro Schena, Rita D. Snel Trampus 260 $aBologna :$bCLUEB,$c2002 300 $av. ;$c24 cm 650 4$aAtti giuridici$xTraduzioni 650 4$aDiritto$xTraduzione$vCongressi 650 4$aTraduzione ed interpretazione 700 1 $aSnel Trampus, Rita D. 700 1 $aSchena, Leandro 907 $a.b13043146$b02-04-14$c05-08-04 912 $a991003224299707536 945 $aLE008 FL.M. (f.r.) V B 286/I$cVol.I$g1$i2008000103675$lle008$nGualdo$nGualdo$o-$pE0.00$q-$rl$s- $t0$u1$v3$w1$x0$y.i13981559$z11-01-05 945 $aLE008 FL.M. (f.r.) V B 286/II$cVol. II$g1$i2008000103682$lle008$o-$pE0.00$q-$rl$s- $t0$u1$v3$w1$x0$y.i13981560$z11-01-05 945 $aLE002 346 TRA 945 $aLE002 Filol. I N 6/002$g1$i2002000100320$lle002$nV. 2. - C. 1$nv. 2$o-$pE0.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i13666824$z05-08-04 945 $aLE012 418.02 SCE$cvol. 2$g1$i2012000448957$lle012$o-$pE0.00$q-$rl$s- $t0$u4$v0$w4$x0$y.i15338538$z25-10-11 996 $aTraduttori e giuristi a confronto$9238651 997 $aUNISALENTO 998 $ale008$ale002$ale012$b05-08-04$cm$da $e-$fita$git $h0$i3 LEADER 05643nam 2200673 450 001 9910811268703321 005 20230125205218.0 010 $a1-5231-4613-3 010 $a1-63081-474-1 035 $a(CKB)4100000004835346 035 $a(CaBNVSL)mat09100692 035 $a(IEEE)9100692 035 $a(MiAaPQ)EBC5430725 035 $a(PPN)231542887 035 $a(EXLCZ)994100000004835346 100 $a20200729d2017 uy 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBig data analytics for connected vehicles and smart cities /$fBob McQueen 210 1$aBoston, Massachusetts :$cArtech House,$d[2017] 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2017] 215 $a1 online resource (xviii, 294 pages) $cillustrations 225 1 $aArtech House power engineering series 311 $a1-63081-321-4 320 $aIncludes bibliographical references and index. 327 $aIntro; Big Data Analytics for Connected Vehicles and Smart Cities; Contents; Preface; 1 Introduction; 1.1 Introduction; 1.2 Informational Objectives of This Chapter; 1.3 Word Cloud; 1.4 Background; 1.5 Why This Subject and Why Now?; 1.6 Intended Readership Groups for the Book; 1.7 Overview of Contents; References; 2 What Is Big Data?; 2.1 Informational Objectives of This Chapter; 2.2 Chapter Word Cloud; 2.3 Introduction; 2.4 Questions Instead of Answers?; 2.5 Overview of the Questions; 2.6 Safety-Related Questions; 2.7 Efficiency-Related Questions; 2.8 User Experience-Related Questions. 327 $a2.9 What Do We Do with the QuestionsReferences; 3 What Is Big Data?; 3.1 Informational Objectives of This Chapter; 3.2 Word Cloud; 3.3 Introduction; 3.4 How Is Big Data Measured?; 3.5 What Is Big Data?; 3.6 Challenges; 3.7 Big Data in Transportation; 3.8 Transportation Systems Management and Operations; References; 4 Connected and Autonomous Vehicles; 4.1 Informational Objectives; 4.2 Word Cloud; 4.3 Introduction; 4.4 What Is a Connected Vehicle?; 4.5 Connected Vehicle Challenges; 4.6 What Is an Autonomous Vehicle?; 4.7 Autonomous Vehicle Challenges. 327 $a4.8 Summary of the Differences between Connected and Autonomous Vehicles4.8 Connected and Autonomous Vehicles within a Smart City; 4.9 The Likely Impact of the Connected and the Autonomous Vehicle on Transportation; 4.10 Big Data and Connectivity; 4.11 Connected and Autonomous Vehicles within a Smart City; 4.12 The Likely Effect of Connected and Autonomous Vehicles on the Automotive Industry; 4.12 Summary; References; 5 Smart Cities; 5.1 Informational Objectives; 5.2 Word Cloud; 5.3 Introduction; 5.4 What Is a Smart City?; 5.5 Smart City Objectives; 5.6 Steps Toward a Smart City. 327 $a5.7 Smart City Frameworks5.8 Evaluating the Effects of Investments; 5.9 Smart City Challenges; 5.10 Smart City Opportunities; 5.11 Lessons Learned from the London Congestion Charge Project; 5.12 The Sentient City; 5.13 Summary; References; 6 What Are Analytics?; 6.1 Informational Objectives; 6.2 Introduction; 6.3 Word Cloud; 6.4 What Is an Analytic?; 6.5 Why Analytics Are Valuable; 6.6 Smart City Services Analytics; 6.7 Analytical Performance Management for a Smart City; 6.8 How Do Analytics and Data Lakes Fit Together?; 6.9 How to Identify Data Needs Associated with Analytics?; 6.10 Summary. 330 3 $aThis practical new book presents the application of "big data" analytics to connected vehicles, smart cities, and transportation systems. This book enables transportation professionals to understand how data analytics can and will expand the design and engineering of connected vehicles and smart cities. Readers find extensive case studies and examples that provide a strong framework focusing on practical application of data sciences and analytic tools for actual projects in the field.n nBoth federal and private sector investments have a strong interest in the connected vehicle and this book discusses the impact this has on transportation. This book defines urban analytics and modeling, incentives and governance, mobility networks, energy networks, and other attributes and elements that craft a smart city. Readers learn how smart cities impact the application of advanced technologies in urban areas. This book explains how recently passed transportation legislation for the US has a specific emphasis on the use of data for performance management.$cPublisher abstract. 410 0$aArtech House power engineering series. 606 $aIntelligent transportation systems 606 $aTransportation$xPlanning 606 $aCity planning$xTechnological innovations 606 $aBig data 606 $aBig data$2fast$3(OCoLC)fst01892965 606 $aCity planning$xTechnological innovations$2fast$3(OCoLC)fst00862272 606 $aIntelligent transportation systems$2fast$3(OCoLC)fst01723430 606 $aTransportation$xPlanning$2fast$3(OCoLC)fst01155146 615 0$aIntelligent transportation systems. 615 0$aTransportation$xPlanning. 615 0$aCity planning$xTechnological innovations. 615 0$aBig data. 615 7$aBig data. 615 7$aCity planning$xTechnological innovations. 615 7$aIntelligent transportation systems. 615 7$aTransportation$xPlanning. 676 $a388.0285 700 $aMcQueen$b Bob$01643255 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910811268703321 996 $aBig data analytics for connected vehicles and smart cities$93988405 997 $aUNINA LEADER 00721nam a2200217 i 4500 001 991004345923507536 005 20241015160829.0 008 241015s1989 it er 001 p ita d 040 $aBibl. Dip.le Aggr. Scienze Umane e Sociali$bita$cSocioculturale Scs 041 0 $aita 082 04$a851.7$223 100 1 $aMercogliano, Gennaro$0295757 245 10$aLeopardi :$bsaggio sulla Ginestra /$cGennaro Mercogliano 260 $aManduria [etc.] :$bLacaita,$c1989 300 $a130 p. ;$c22 cm 490 1 $aBiblioteca di studi moderni ;$v33 600 14$aLeopardi, Giacomo$d<1741-1781> .$tCanti 830 0$aBiblioteca di studi moderni ;$v33 912 $a991004345923507536 996 $aLeopardi$94215620 997 $aUNISALENTO