LEADER 01385nam--2200445---450- 001 990000447340203316 005 20050614113353.0 010 $a88-7090-048-7 035 $a0044734 035 $aUSA010044734 035 $a(ALEPH)000044734USA01 035 $a0044734 100 $a20010515d1988----km-y0itay0103----ba 101 $aspa 102 $aIT 105 $a||||||||001yy 200 1 $aEspañol situacional$fMaria Vittoria Calvi, Laura Guasconi, Nicelda Provoste 205 $aNuova ed. 210 $aVerona$cEdizione scolostiche Unicopli$d1988 215 $a207 cm$cill.$d24 cm 410 $12001 461 1$1001-------$12001 606 0 $aLingua spagnola$xTesti per l'insegnamento 676 $a468 700 1$aCALVI,$bMaria Vittoria$0174000 701 1$aGUASCONI,$bLaura$0409288 701 1$aPROVOSTE,$bNicelda$0409289 801 0$aIT$bsalbc$gISBD 912 $a990000447340203316 951 $aVI.5.D. 79(II SP B 1 33)$b108063 LM$cII SP B 1 951 $aVI.5.D. 79a(II SP B 1 33bis)$b108064 LM$cII SP B 1 951 $aVI.5.D. 79b(II SP B 1 33A)$b108065 LM$cII SP B 1 959 $aBK 969 $aUMA 979 $aPATTY$b90$c20010515$lUSA01$h1328 979 $c20020403$lUSA01$h1653 979 $aPATRY$b90$c20040406$lUSA01$h1631 979 $aCOPAT6$b90$c20050614$lUSA01$h1133 996 $aEspañol situacional$9620906 997 $aUNISA LEADER 08426nam 22007573 450 001 9910473458303321 005 20250628110035.0 010 $a3-030-62476-5 035 $a(CKB)4100000011781612 035 $a(MiAaPQ)EBC6509883 035 $a(Au-PeEL)EBL6509883 035 $a(OCoLC)1240738391 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/64051 035 $a(PPN)253859875 035 $a(ODN)ODN0010073695 035 $a(oapen)doab64051 035 $a(EXLCZ)994100000011781612 100 $a20210901d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSpecial Topics in Information Technology 210 $cSpringer Nature$d2021 210 1$aCham :$cSpringer International Publishing AG,$d2021. 210 4$d©2021. 215 $a1 online resource (150 pages) 225 1 $aSpringerBriefs in Applied Sciences and Technology 311 08$a3-030-62475-7 327 $aIntro -- Preface -- Contents -- Part ITelecommunications -- 1 Machine-Learning Defined Networking: Towards Intelligent Networks -- 1.1 Introduction -- 1.2 Network Traffic Prediction -- 1.3 Network Traffic Pattern Identification -- 1.4 Reinforcement Learning for Adaptive Network Resource Allocation -- 1.5 Implementation of Machine Learning in Real SDN/NFV Testbeds -- 1.6 Concluding Remarks -- References -- 2 Traffic Management in Networks with Programmable Data Planes -- 2.1 Software-Defined Networks (SDN) -- 2.2 Control Plane Programmability -- 2.2.1 Traffic Engineering Framework -- 2.2.2 ONOS Intent Monitor and Reroute Service -- 2.3 Data Plane Programmability -- 2.3.1 Network Failures -- 2.3.2 Network Congestion -- 2.4 Conclusions -- References -- Part IIElectronics -- 3 Frequency Synthesizers Based on Fast-Locking Bang-Bang PLL for Cellular Applications -- 3.1 Introduction -- 3.2 Digital PLL: Output Phase Noise and Locking Transient -- 3.3 Multi-loop Architecture for Fast Locking Transient -- 3.4 Measurement results -- 3.5 Conclusions -- References -- 4 Inductorless Frequency Synthesizers for Low-Cost Wireless -- 4.1 Introduction -- 4.2 Fractional-N MDLLs -- 4.3 Jitter-Power Tradeoff Analysis -- 4.4 DTC Range-Reduction Technique -- 4.5 Implemented Architecture -- 4.6 Measurement Results -- 4.7 Conclusion -- References -- 5 Characterization and Modeling of Spin-Transfer Torque (STT) Magnetic Memory for Computing Applications -- 5.1 Introduction -- 5.2 Spin-Transfer Torque Magnetic Memory (STT-MRAM) -- 5.3 Understanding Dielectric Breakdown-Limited Cycling Endurance -- 5.4 Modeling Stochastic Switching in STT-MRAM -- 5.5 Stochastic STT Switching for Security and Computing -- 5.6 Conclusions -- References -- 6 One Step in-Memory Solution of Inverse Algebraic Problems -- 6.1 Introduction -- 6.2 In Memory Computing. 327 $a6.3 In-Memory Matrix-Vector-Multiplication Accelerator -- 6.4 One Step in-Memory Solution of Inverse Algebraic Problems -- 6.4.1 In-Memory Solution of Linear Systems in One-Step -- 6.4.2 In-Memory Eigenvectors Calculation in One-Step -- 6.4.3 In-Memory Regression and Classification in One-Step -- 6.5 Conclusions -- References -- 7 Development of a 3'' LaBr3 SiPM-Based Detection Module for High Resolution Gamma Ray Spectroscopy and Imaging -- 7.1 Introduction -- 7.2 Development -- References -- Part IIIComputer Science and Engineering -- 8 Velocity on the Web -- 8.1 Introduction -- 8.2 Background -- 8.3 Problem Statement -- 8.4 Major Results -- 8.5 Conclusion -- References -- 9 Preplay Communication in Multi-Player Sequential Games: An Overview of Recent Results -- 9.1 Introduction -- 9.1.1 Motivating Example -- 9.1.2 Sequential Games with Imperfect Information -- 9.1.3 Preplay Communication -- 9.2 Adversarial Team Games -- 9.3 Correlated Equilibria in Sequential Games -- 9.4 Bayesian Persuasion with Sequential Games -- 9.5 Discussion and Future Research -- References -- Part IVSystems and Control -- 10 Leadership Games: Multiple Followers, Multiple Leaders, and Perfection -- 10.1 Introduction -- 10.2 The Stackelberg Paradigm -- 10.3 Stackelberg Games with Multiple Followers -- 10.3.1 Norma-Form Stackelberg Games -- 10.3.2 Stackelberg Polymatrix Games -- 10.3.3 Stackelberg Congestion Games -- 10.4 Stackelberg Games with Multiple Leaders -- 10.5 Trembling-Hand Perfection in Stackelberg Games -- References -- 11 Advancing Joint Design and Operation of Water Resources Systems Under Uncertainty -- 11.1 Introduction -- 11.1.1 Research Challenges -- 11.2 Reinforcement Learning for Designing Water Reservoirs -- 11.2.1 pFQI Algorithm -- 11.2.2 Comparison with Traditional Least Cost Dam Design -- 11.3 A Novel Robust Assessment Framework. 327 $a11.3.1 Methodological Approach -- 11.3.2 Assessing Robustness of Alternatives for Changing Demands and Hydrology -- 11.4 Conclusions -- References -- 12 Optimization-Based Control of Microgrids for Ancillary Services Provision and Islanded Operation -- 12.1 Introduction -- 12.2 Microgrids Aggregators Providing Ancillary Services -- 12.2.1 Offline Economic Dispatch and Power Reserve Procurement -- 12.2.2 Online External Provision of Ancillary Services -- 12.2.3 Real-Time Self-balancing of Internal Power Uncertainties -- 12.3 Hierarchical Model Predictive Control Architectures for Islanded Microgrids -- 12.4 Conclusions -- References -- 13 Allowing a Real Collaboration Between Humans and Robots -- 13.1 Introduction -- 13.2 Recognizing the Human Actions -- 13.3 Predicting the Human Actions -- 13.4 Assistive Scheduling -- 13.5 Results -- 13.6 Conclusions -- References. 330 $aThis open access book presents thirteen outstanding doctoral dissertations in Information Technology from the Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy. Information Technology has always been highly interdisciplinary, as many aspects have to be considered in IT systems. The doctoral studies program in IT at Politecnico di Milano emphasizes this interdisciplinary nature, which is becoming more and more important in recent technological advances, in collaborative projects, and in the education of young researchers. Accordingly, the focus of advanced research is on pursuing a rigorous approach to specific research topics starting from a broad background in various areas of Information Technology, especially Computer Science and Engineering, Electronics, Systems and Control, and Telecommunications. Each year, more than 50 PhDs graduate from the program. This book gathers the outcomes of the thirteen best theses defended in 2019-20 and selected for the IT PhD Award. Each of the authors provides a chapter summarizing his/her findings, including an introduction, description of methods, main achievements and future work on the topic. Hence, the book provides a cutting-edge overview of the latest research trends in Information Technology at Politecnico di Milano, presented in an easy-to-read format that will also appeal to non-specialists. 410 0$aSpringerBriefs in Applied Sciences and Technology 606 $aCommunications engineering / telecommunications$2bicssc 606 $aAutomatic control engineering$2bicssc 606 $aAlgorithms & data structures$2bicssc 610 $aCommunications Engineering, Networks 610 $aControl and Systems Theory 610 $aData Structures and Information Theory 610 $aInformation Technology 610 $aPhD Springer Award 610 $aPolitecnico DEIB 610 $aPolimi PhD School 610 $aartificial intelligence 610 $acomputer system architectures 610 $aTelecommunications 610 $aOpen access 610 $aCommunications engineering / telecommunications 610 $aAutomatic control engineering 610 $aAlgorithms & data structures 610 $aInformation theory 615 7$aCommunications engineering / telecommunications 615 7$aAutomatic control engineering 615 7$aAlgorithms & data structures 686 $aCOM031000$aTEC004000$aTEC041000$2bisacsh 700 $aGeraci$b Angelo$0448029 702 $aGeraci$b Angelo$4oth 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910473458303321 996 $aSpecial Topics in Information Technology$92495459 997 $aUNINA