LEADER 00876nam0-22002771i-450- 001 990000721610403321 005 20001010 035 $a000072161 035 $aFED01000072161 035 $a(Aleph)000072161FED01 035 $a000072161 100 $a20001010d--------km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aGeologia appicata alla Ingegneria$emezzi e metodi d'esplorazione del sottosuolo. Idrogeologia e Geomorfologiaapplicate. Geologia delle costruzioni. Geologia mineraria 210 $aMilano$cHoepli$d1973 215 $aXXVIII, 1194 p. ill. 25 cm 700 1$aDesio,$bArdito$f<1897-2001>$028797 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000721610403321 952 $aTECN B 474$b10039$fFARBC 959 $aFARBC 996 $aGeologia appicata alla Ingegneria$9323612 997 $aUNINA DB $aING01 LEADER 04249nam 22007095 450 001 996198263303316 005 20200630183201.0 010 $a3-319-10329-6 024 7 $a10.1007/978-3-319-10329-7 035 $a(CKB)3710000000219451 035 $a(SSID)ssj0001338856 035 $a(PQKBManifestationID)11743306 035 $a(PQKBTitleCode)TC0001338856 035 $a(PQKBWorkID)11345312 035 $a(PQKB)11687862 035 $a(DE-He213)978-3-319-10329-7 035 $a(MiAaPQ)EBC5591007 035 $a(PPN)180626183 035 $a(EXLCZ)993710000000219451 100 $a20140805d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aSmart Grid Security$b[electronic resource] $eSecond International Workshop, SmartGridSec 2014, Munich, Germany, February 26, 2014, Revised Selected Papers /$fedited by Jorge Cuellar 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (X, 193 p. 50 illus.) 225 1 $aSecurity and Cryptology ;$v8448 300 $aIncludes index. 311 $a3-319-10328-8 327 $aSecurity and Privacy in Smart Grid Demand Response Systems -- Distributed MILS Architectural Approach for Secure Smart Grids -- Determining the Probability of Smart Grid Attacks by Combining -- Attack Tree and Attack Graph Analysis -- Selective release of smart metering data in multi-domain smart grids -- Redactable Signatures to Control the Maximum Noise for Differential Privacy in the Smart Grid -- A Threat Analysis Methodology for Smart Home Scenarios -- A Privacy-friendly Framework for Vehicle-to-Grid Interactions -- Reactive Security for Smart Grids -- Privacy in Residential Demand Side Management Applications -- Enhancing Problem Frames with Trust and Reputation for Analyzing Smart Grid Security Requirements -- CryPLH: Protecting smart energy systems from targeted attacks with a PLC honeypot. 330 $aThis book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Smart Grid Security, SmartGridSec 2014, held in Munich, Germany, in February 2014. The volume contains twelve corrected and extended papers presented at the workshop which have undergone two rounds of reviewing and improvement. The engineering, deployment and operation of the future Smart Grid will be an enormous project that will require the active participation of many stakeholders with different interests and views regarding the security and privacy goals, technologies, and solutions. There is an increasing need for workshops that bring together researchers from different communities, from academia and industry, to discuss open research topics in the area of future Smart Grid security. 410 0$aSecurity and Cryptology ;$v8448 606 $aComputer security 606 $aComputers and civilization 606 $aManagement information systems 606 $aComputer science 606 $aOperating systems (Computers) 606 $aSystems and Data Security$3https://scigraph.springernature.com/ontologies/product-market-codes/I28060 606 $aComputers and Society$3https://scigraph.springernature.com/ontologies/product-market-codes/I24040 606 $aManagement of Computing and Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I24067 606 $aOperating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14045 615 0$aComputer security. 615 0$aComputers and civilization. 615 0$aManagement information systems. 615 0$aComputer science. 615 0$aOperating systems (Computers). 615 14$aSystems and Data Security. 615 24$aComputers and Society. 615 24$aManagement of Computing and Information Systems. 615 24$aOperating Systems. 676 $a005.8 702 $aCuellar$b Jorge$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996198263303316 996 $aSmart grid security$92122385 997 $aUNISA LEADER 00959nam a2200265 i 4500 001 991001667379707536 005 20020502204346.0 008 950505s1990 uk ||| | eng 020 $a0192827316 035 $ab11546360-39ule_inst 035 $aPRUMB65445$9ExL 040 $aDip. di SSSC - Didattica$bita 100 1 $aAlexander, Peter$017441 245 10$aWilliam Ploomer :$ba biography /$cPeter F. Alexander 260 $aOxford ; New York :$bOxford University Press,$c1990 300 $axvii, 387 p. :$btav. ;$c20 cm. 650 4$aGran Bretagna$xScrittori - XX sec. 650 4$aPlomer, William 650 4$ascrittori - Gran Bretagna - XX sec. 907 $a.b11546360$b21-09-06$c01-07-02 912 $a991001667379707536 945 $aLE021 FH7A36$g1$iLE021N-12132$lle021$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i11745769$z01-07-02 996 $aWilliam Ploomer$9894853 997 $aUNISALENTO 998 $ale021$b01-01-95$cm$da $e-$feng$guk $h0$i1 LEADER 07121nam 22006735 450 001 9910841872703321 005 20251225200642.0 010 $a3-031-52670-8 024 7 $a10.1007/978-3-031-52670-1 035 $a(CKB)30597547300041 035 $a(MiAaPQ)EBC31201063 035 $a(Au-PeEL)EBL31201063 035 $a(DE-He213)978-3-031-52670-1 035 $a(EXLCZ)9930597547300041 100 $a20240226d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDynamic Data Driven Applications Systems $e4th International Conference, DDDAS 2022, Cambridge, MA, USA, October 6?10, 2022, Proceedings /$fedited by Erik Blasch, Frederica Darema, Alex Aved 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (434 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13984 311 08$a3-031-52669-4 320 $aIncludes bibliographical references and index. 327 $aDDDAS2022 Main-Track Plenary Presentations -- Aerospace I -- Generalized multifidelity active learning for Gaussian-process-based reliability analysis -- Essential Properties of a Multimodal Hypersonic Object Detection and Tracking System -- Aerospace II -- Dynamic Airspace Control via Spatial Network Morphing -- Towards the formal verification of data-driven flight awareness: Leveraging the Cramér-Rao lower bound of stochastic functional time series models -- Coupled Sensor Configuration and Path-Planning in a Multimodal Threat Field -- Space Systems -- Probabilistic Admissible Region Based Track Initialization -- Radar cross-section modeling of space debris -- High Resolution Imaging Satellite Constellation -- Network Systems -- Reachability Analysis to Track Non-cooperative Satellite in Cislunar Regime -- Physics-Aware Machine Learning for Dynamic, Data-Driven Radar Target Recognition -- DDDAS for Optimized Design and Management of Wireless Cellular Networks -- Systems Support Methods -- DDDAS-based Learning for Edge Computing at 5G and Beyond 5G -- Monitoring and Secure Communications for Small Modular Reactors -- Data Augmentation of High-Rate Dynamic Testing via a Physics-Informed GAN Approach -- Unsupervised Wave Physics-Informed Representation Learning for Guided Wavefield Reconstruction -- Passive Radio Frequency-based 3D Indoor Positioning System via Ensemble Learning -- Deep Learning - I -- Deep Learning Approach for Data and Computing Efficient Situational Assessment and Awareness in Human Assistance and Disaster Response and Damage Assessment Applications -- SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery -- Multimodal IR and RF based sensor system for real-time human target detection, identification, and Geolocation -- Deep Learning - II -- Learning Interacting Dynamic Systems with Neural Ordinary Differential Equations -- Relational Active Feature Elicitation for DDDAS -- Explainable Human-in-the-loop Dynamic Data-Driven Digital Twins -- Tracking -- Transmission Censoring and Information Fusion for Communication-Efficient Distributed Nonlinear Filtering -- Distributed Estimation of the Pelagic Scattering Layer using a Buoyancy Controlled Robotic System -- Towards a data-driven bilinear Koopman operator for controlled nonlinear systems and sensitivity analysis -- Security -- Tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach -- Dynamic Data-Driven Digital Twins for Blockchain Systems -- Adversarial Forecasting through Adversarial Risk Analysis within a DDDAS Framework -- Distributed Systems -- Power Grid Resilience: Data Gaps for Data-Driven Disruption Analysis -- Attack-resilient Cyber-physical System State Estimation for Smart Grid Digital Twin Design -- Applying DDDAS Principles for Realizing Optimized and Robust Deep Learning Models at the Edge -- Keynotes -- Keynotes Overview -- DDDAS for Systems Analytics in Applied Mechanics -- Computing for Emerging Aerospace Autonomous Vehicles -- From genomics to therapeutics: Single-cell dissection and manipulation of disease circuitry -- Data Augmentation to Improve Adversarial Robustness of AI-Based Network Security Monitoring -- Improving Predictive Models for Environmental Monitoring using Distributed Spacecraft Autonomy -- Towards Continual Unsupervised Data Driven Adaptive Learning -- DDDAS2022 Main-Track: Wildfires Panel -- Wildfires Panel Overview -- Using Dynamic Data Driven Cyberinfrastructure for Next Generation Disaster Intelligence -- Simulating large wildland & WUI fires with a physics-based weather-fire behavior model: Understanding, prediction, and data-shaped products -- Autonomous Unmanned Aerial Vehicle systems in Wildfire Detection and Management-Challenges and Opportunities -- Role of Autonomous Unmanned Aerial Systems in Prescribed Burn Projects -- Towards a Dynamic Data Driven Wildfire Digital Twin (WDT): Impact on Deforestation, Air Quality and Cardiopulmonary Disease -- Earth System Digital Twin for Air Quality -- Dynamic Data Driven Applications for Atmospheric Monitoring and Tracking -- Workshop on Climate, Life, Earth, Planets -- Dynamic Data-Driven Downscaling to Quantify Extreme Rainfall and Flood Loss Risk -- DDDAS 2022 Conference Agenda -- Agenda, DDDAS 2022, October 6-10. -- . 330 $aThis book constitutes the refereed proceedings of the 4th International Conference on Dynamic Data Driven Applications Systems, DDDAS 2022, which took place in Cambridge, MA, USA, during October 6?10, 2022. The 31 regular papers in the main track and 5 regular papers from the Wildfires panel, as well as one workshop paper, were carefully reviewed and selected for inclusion in the book. 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