LEADER 01037nam a2200241 i 4500 001 991001682739707536 005 20020507150512.0 008 990923s1971 it ||| | ita 035 $ab11548800-39ule_inst 035 $aLE02723145$9ExL 040 $aDip.to Studi Giuridici$bita 082 0 $a262.9 100 1 $aCaron, Pier Giovanni$0153615 245 10$aAequitas romana, misericordia patristica ed epicheia aristotelica nella dottrina dell'aequitas canonica :$bdalle origini al Rinascimento /$cPier Giovanni Caron 260 $aMilano :$bA. Giuffré,$c1971 300 $a118 p. ;$c25 cm. 650 4$aAequitas$xDiritto canonico 907 $a.b11548800$b02-04-14$c02-07-02 912 $a991001682739707536 945 $aLE027 ARCHI M 269$g1$i2027000191642$lle027$o-$pE0.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i11748217$z02-07-02 996 $a"Aequitas" Romana, "misericordia" patristica ed "epicheia" aristotelica nella dottrina dell'"aequitas" canonica$9707944 997 $aUNISALENTO 998 $ale027$b01-01-99$cm$da $e-$fita$git $h0$i1 LEADER 03469nam 22006015 450 001 9910254954803321 005 20200629205617.0 010 $a981-10-1766-2 024 7 $a10.1007/978-981-10-1766-7 035 $a(CKB)3710000000832238 035 $a(DE-He213)978-981-10-1766-7 035 $a(MiAaPQ)EBC4648517 035 $a(PPN)228318068 035 $a(EXLCZ)993710000000832238 100 $a20160817d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Impact of Societal and Social Innovation $eA Case-Based Approach /$fby Carol Yeh-Yun Lin, Jeffrey Chen 205 $a1st ed. 2016. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2016. 215 $a1 online resource (XXIX, 138 p. 13 illus.) 311 $a981-10-1764-6 320 $aIncludes bibliographical references and indexes. 327 $a1: Introduction -- 2: Definition and comparison of societal innovation and social innovation -- 3: Cases of societal innovation -- 4: Two-stage Model of Societal Innovation -- 5: Cases of Social Innovation -- 6: A two-stage model of social innovation -- 7: Conclusion and Policy Implications -- References -- Author Index -- Subject Index -- Glossary. 330 $aThis book elaborates on the distinction between societal innovation and social innovation. It provides eight case studies to illustrate the scope, process, outcome, and impact of societal innovation and social innovation. In addition, the book proposes a model for interested parties to maximize their contribution for the common social good in a systematic and effective way. Case studies are used to illustrate concepts for readers to grasp the real essence of the relatively abstract notions of societal innovation and social innovation. In doing so, the book shows how small efforts can bring big benefits for the under privileged and to society as a whole. This book serves as a helpful resource for government officials, social innovation practitioners, social entrepreneurs, Non Profit Organizations, as well as students who would like to contribute to the common social good. 606 $aBusiness ethics 606 $aManagement 606 $aIndustrial management 606 $aDevelopment economics 606 $aSocial policy 606 $aBusiness Ethics$3https://scigraph.springernature.com/ontologies/product-market-codes/526000 606 $aInnovation/Technology Management$3https://scigraph.springernature.com/ontologies/product-market-codes/518000 606 $aDevelopment Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W42000 606 $aSocial Policy$3https://scigraph.springernature.com/ontologies/product-market-codes/W34020 615 0$aBusiness ethics. 615 0$aManagement. 615 0$aIndustrial management. 615 0$aDevelopment economics. 615 0$aSocial policy. 615 14$aBusiness Ethics. 615 24$aInnovation/Technology Management. 615 24$aDevelopment Economics. 615 24$aSocial Policy. 676 $a174.4 700 $aLin$b Carol Yeh-Yun$4aut$4http://id.loc.gov/vocabulary/relators/aut$0941421 702 $aChen$b Jeffrey$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910254954803321 996 $aThe Impact of Societal and Social Innovation$92123456 997 $aUNINA LEADER 03666nam 2200589Ia 450 001 9910437899103321 005 20200520144314.0 010 $a9783642309977 010 $a3642309976 024 7 $a10.1007/978-3-642-30997-7 035 $a(CKB)3390000000030196 035 $a(SSID)ssj0000745853 035 $a(PQKBManifestationID)11434881 035 $a(PQKBTitleCode)TC0000745853 035 $a(PQKBWorkID)10859475 035 $a(PQKB)10190800 035 $a(DE-He213)978-3-642-30997-7 035 $a(MiAaPQ)EBC3070987 035 $a(PPN)168318202 035 $a(EXLCZ)993390000000030196 100 $a20120827d2013 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aCall admission control in mobile cellular networks /$fSanchita Ghosh and Amit Konar 205 $a1st ed. 2013. 210 $aBerlin ;$aHeidelberg $cSpringer$dc2013 215 $a1 online resource (XII, 236 p.) 225 1 $aStudies in computational intelligence,$x1860-949X ;$v437 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9783642309960 311 08$a3642309968 320 $aIncludes bibliographical references and index. 327 $aAn Overview of Call Admission Control in Mobile -- Cellular Networks -- An Overview of Computational Intelligence Algorithms -- Automatic call Management in a Cellular Mobile -- Network by Fuzzy Threshold Logic -- An Evolutionary Approach to Velocity and Traffic -- Sensitive Call Admission Control -- Call Admission Control Using Bio-geography Based Optimization. 330 $aCall Admission Control (CAC) and Dynamic Channel Assignments (DCA) are important decision-making problems in mobile cellular communication systems. Current research in mobile communication considers them as two independent problems, although the former greatly depends on the resulting free channels obtained as the outcome of the latter. This book provides a solution to the CAC problem, considering DCA as an integral part of decision-making for call admission. Further, current technical resources ignore movement issues of mobile stations and fluctuation in network load (incoming calls) in the control strategy used for call admission. In addition, the present techniques on call admission offers solution globally for the entire network, instead of considering the cells independently.      CAC here has been formulated by two alternative approaches. The first approach aimed at handling the uncertainty in the CAC problem by employing fuzzy comparators.  The second approach is concerned with formulation of CAC as an optimization problem to minimize call drop, satisfying a set of constraints on feasibility and availability of channels, hotness of cells, and velocity and angular displacement of mobile stations.  Evolutionary techniques, including Genetic Algorithm and Biogeography Based Optimization, have been employed to solve the optimization problems. The proposed approaches outperform traditional methods with respect to grade and quality of services. 410 0$aStudies in computational intelligence ;$vv. 437. 606 $aCell phone systems 606 $aWireless communication systems$xManagement 615 0$aCell phone systems. 615 0$aWireless communication systems$xManagement. 676 $a621.384 700 $aGhosh$b Sanchita$01059001 701 $aKonar$b Amit$0542703 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437899103321 996 $aCall admission control in mobile cellular networks$94198697 997 $aUNINA