LEADER 04258nam 22006855 450 001 9910150457303321 005 20251013163618.0 010 $a3-319-38795-2 024 7 $a10.1007/978-3-319-38795-6 035 $a(PPN)291100864 035 $a(CKB)3710000000943122 035 $a(DE-He213)978-3-319-38795-6 035 $a(MiAaPQ)EBC4740961 035 $a(EXLCZ)993710000000943122 100 $a20161110d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDigital Government $eLeveraging Innovation to Improve Public Sector Performance and Outcomes for Citizens /$fedited by Svenja Falk, Andrea Römmele, Michael Silverman 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XIII, 189 p. 25 illus., 19 illus. in color.) 311 08$a3-319-38793-6 320 $aIncludes bibliographical references at the end of each chapters. 327 $aTheory and Foundations of Digital Government: The Promise of Digital Government -- Measuring Digital Government: How to Assess and Compare Digitalisation in Public Sector Organisations -- Technology for Good: Innovative Uses of Emerging Technologies to Address Social Challenges -- Regulation of Digital Government -- Country Studies: Mexico: Single Window for Foreign Trade -- USA: Broadband Access and Adoption in New York State -- Brazil: Transparency Portal of the Federal Government -- India: Unique Identification Authority -- Germany: The Path to Open Data Leadership. . 330 $aThis book focuses on the implementation of digital strategies in the public sectors in the US, Mexico, Brazil, India and Germany. The case studies presented examine different digital projects by looking at their impact as well as their alignment with their national governments? digital strategies. The contributors assess the current state of digital government, analyze the contribution of digital technologies in achieving outcomes for citizens, discuss ways to measure digitalization and address the question of how governments oversee the legal and regulatory obligations of information technology. The book argues that most countries formulate good strategies for digital government, but do not effectively prescribe and implement corresponding policies and programs. Showing specific programs that deliver results can help policy makers, knowledge specialists and public-sector researchers to develop best practices for future national strategies. 606 $aPublic administration 606 $aPublic policy 606 $aInformation technology 606 $aBusiness?Data processing 606 $aManagement 606 $aIndustrial management 606 $aComputers and civilization 606 $aPublic Administration$3https://scigraph.springernature.com/ontologies/product-market-codes/W34030 606 $aPublic Policy$3https://scigraph.springernature.com/ontologies/product-market-codes/911060 606 $aIT in Business$3https://scigraph.springernature.com/ontologies/product-market-codes/522000 606 $aInnovation/Technology Management$3https://scigraph.springernature.com/ontologies/product-market-codes/518000 606 $aComputers and Society$3https://scigraph.springernature.com/ontologies/product-market-codes/I24040 615 0$aPublic administration. 615 0$aPublic policy. 615 0$aInformation technology. 615 0$aBusiness?Data processing. 615 0$aManagement. 615 0$aIndustrial management. 615 0$aComputers and civilization. 615 14$aPublic Administration. 615 24$aPublic Policy. 615 24$aIT in Business. 615 24$aInnovation/Technology Management. 615 24$aComputers and Society. 676 $a351 702 $aFalk$b Svenja$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRömmele$b Andrea$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSilverman$b Michael$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910150457303321 996 $aDigital government$92072847 997 $aUNINA LEADER 04263nam 22006255 450 001 9910299571103321 005 20200707002649.0 010 $a981-10-4907-6 024 7 $a10.1007/978-981-10-4907-1 035 $a(CKB)4340000000062861 035 $a(DE-He213)978-981-10-4907-1 035 $a(MiAaPQ)EBC4873449 035 $a(PPN)202989291 035 $a(EXLCZ)994340000000062861 100 $a20170607d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms /$fby Jin-Liang Wang, Huai-Ning Wu, Tingwen Huang, Shun-Yan Ren 205 $a1st ed. 2018. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2018. 215 $a1 online resource (XIII, 220 p. 43 illus., 41 illus. in color.) 311 $a981-10-4906-8 320 $aIncludes bibliographical references. 327 $aIntroduction -- Pinning control strategies for synchronization of Coupled Reaction-Diffusion Neural Networks -- Pinning control for synchronization of Coupled Reaction-Diffusion Neural Networks with directed topologies -- Impulsive control for the synchronization of Coupled Reaction-Diffusion Neural Networks -- Novel adaptive strategies for synchronization of Coupled Reaction-Diffusion Neural Networks -- Synchronization and adaptive control of Coupled Reaction-Diffusion Neural Networks with hybrid coupling -- Passivity-based synchronization of Coupled Reaction-Diffusion Neural Networks with time-varying delay -- Passivity and synchronization of Coupled Reaction-Diffusion Neural Networks with adaptive coupling -- Passivity analysis of Coupled Reaction-Diffusion Neural Networks with Dirichlet boundary conditions -- Passivity of directed and undirected Coupled Reaction-Diffusion Neural Networks with adaptive coupling weights. 330 $aThis book introduces selected recent findings on the analysis and control of dynamical behaviors for coupled reaction-diffusion neural networks. It presents novel research ideas and essential definitions concerning coupled reaction-diffusion neural networks, such as passivity, adaptive coupling, spatial diffusion coupling, and the relationship between synchronization and output strict passivity. Further, it gathers research results previously published in many flagship journals, presenting them in a unified form. As such, the book will be of interest to all university researchers and graduate students in Engineering and Mathematics who wish to study the dynamical behaviors of coupled reaction-diffusion neural networks. 606 $aAutomatic control 606 $aNeural networks (Computer science) 606 $aArtificial intelligence 606 $aStatistical physics 606 $aDynamics 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aMathematical Models of Cognitive Processes and Neural Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/M13100 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P33000 615 0$aAutomatic control. 615 0$aNeural networks (Computer science) 615 0$aArtificial intelligence. 615 0$aStatistical physics. 615 0$aDynamics. 615 14$aControl and Systems Theory. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 615 24$aArtificial Intelligence. 615 24$aComplex Systems. 676 $a629.8 700 $aWang$b Jin-Liang$4aut$4http://id.loc.gov/vocabulary/relators/aut$0634007 702 $aWu$b Huai-Ning$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aHuang$b Tingwen$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aRen$b Shun-Yan$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299571103321 996 $aAnalysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms$92537889 997 $aUNINA