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[null,"1.","Record Nr.",null,"UNINA9910701469603321"]
[null,null,"Titolo",null,"The future of national defense and the U.S. military ten years after 9/11 [[electronic resource] ] : perspectives from former service chiefs and vice chiefs : Committee on Armed Services, House of Representatives, One Hundred Twelfth Congress, first session, hearing held October 4, 2011"]
[null,null,"Pubbl/distr/stampa",null,"Washington : , : U.S. G.P.O., , 2012"]
[null,null,"Descrizione fisica",null,"1 online resource (iii, 62 pages) : illustrations"]
[null,null,"Soggetti",null,"National security - United States - Forecasting"]
[{"$nulls":4},"Terrorism - Prevention - Government policy - United States"]
[{"$nulls":4},"September 11 Terrorist Attacks, 2001 - Influence"]
[{"$nulls":4},"United States Defenses Forecasting"]
[{"$nulls":4},"United States Military policy Forecasting"]
[{"$nulls":4},"United States Armed Forces Appropriations and expenditures"]
[{"$nulls":4},"United States Armed Forces Operational readiness"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Paper version available for sale by the Supt. of Docs., U.S. G.P.O."]
[{"$nulls":4},"\"H.A.S.C. no. 112-72.\""]
[null,"2.","Record Nr.",null,"UNINA9910298965503321"]
[null,null,"Autore",null,"Tan Ying"]
[null,null,"Titolo",null,"Fireworks Algorithm :  A Novel Swarm Intelligence Optimization Method / / by Ying Tan"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"3-662-46353-9"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"1 online resource (344 p.)"]
[null,null,"Disciplina",null,"004"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Computational intelligence"]
[{"$nulls":4},"Numerical analysis"]
[{"$nulls":4},"Robotics"]
[{"$nulls":4},"Automation"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Numeric Computing"]
[{"$nulls":4},"Robotics and Automation"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"Preface; Acknowledgments; Contents; About the Author; Abbreviations; Symbols; List of Figures; List of Tables; Part I Fundamentals and Basic Theory; 1 Introduction; 1.1 Motivations; 1.2 Brief Introduction to Swarm Intelligence; 1.3 Brief Introduction to FWA; 1.4 Characteristics and Advantages of FWA; 1.5 Overviews of FWA Research; 1.6 Overview of the Book; References; 2 Fireworks Algorithm (FWA); 2.1 Introduction; 2.2 FWA Principle; 2.2.1 Explosion Operator; 2.2.2 Gaussian Mutation Operator; 2.2.3 Mapping Rule; 2.2.4 Selection Strategy; 2.3 Implementation of FWA; 2.3.1 Explosion Operator"]
[{"$nulls":4},"2.3.2 Mutation Operator2.3.3 Mapping Rule; 2.3.4 Selection Strategy; 2.4 The Characteristics of FWA; 2.4.1 Explosion; 2.4.2 Instantaneity; 2.4.3 Simplicity; 2.4.4 Locality; 2.4.5 Emergent Property; 2.4.6 Distributed Parallelism; 2.4.7 Diversity; 2.4.8 Extendibility; 2.4.9 Adaptability; 2.5 Impact of Operators in FWA on Performance; 2.5.1 Explosion Operator; 2.5.2 Gaussian Mutation; 2.5.3 Mapping Rule; 2.5.4 Selection Strategy; 2.6 Comparison of FWA with Three Other SI "]
[{"$nulls":4},"Algorithms; 2.6.1 Ideas Comparison Between FWA and GA; 2.6.2 Ideas Comparison Between FWA and Two Versions  of PSO"]
[{"$nulls":4},"2.7 Experimental Results and Analysis2.7.1 Benchmark Functions; 2.7.2 Parameters Setting; 2.7.3 Experimental Results; 2.7.4 Analysis; 2.8 Summary; References; 3 Modeling and Theoretical Analysis of FWA; 3.1 A Stochastic Process Model for FWA; 3.2 Global Convergence Theorems; 3.3 Time Complexity of FWA; 3.3.1 Basic Theory of Time Complexity; 3.4 Deep Analysis of Time Complexity; 3.5 Influence of Random Number Generators on FWA; 3.5.1 Random Number Generators; 3.5.2 Modular Arithmetic Based RNGs; 3.5.3 Binary Arithmetic Based RNGs; 3.5.4 Experimental Setup"]
[{"$nulls":4},"3.5.5 Experimental Results and Analysis3.6 Summary; References; Part II FWA Variants; 4 FWA Based on Function Approximation Approaches; 4.1 Introduction; 4.2 Fireworks Algorithm; 4.3 Fireworks Algorithm Acceleration by Elite Strategy; 4.3.1 Motivation; 4.3.2 Sampling Methods; 4.3.3 Fireworks Algorithm with an Elite Strategy; 4.4 Experimental Evaluations; 4.4.1 Experimental Design; 4.4.2 Experimental Results; 4.5 Discussion; 4.5.1 Fireworks Algorithm Acceleration Performance; 4.5.2 Approximation Methods; 4.5.3 Sampling Methods; 4.5.4 Sampling Data Number; 4.6 Summary; References"]
[{"$nulls":4},"5 FWA with Controlling Exploration and Exploitation5.1 Some Improvements on Operations in FWA; 5.1.1 The Amplitude and Number of Sparks; 5.1.2 The Mutation Improvement; 5.1.3 Selection Strategy; 5.2 Experiment and Analysis; 5.2.1 Experimental Design; 5.2.2 Experimental Results and Analysis; 5.3 Summary; References; 6 Enhanced Fireworks Algorithm; 6.1 Properties of Conventional FWA; 6.2 The Proposed EFWA; 6.2.1 A New Minimal Explosion Amplitude Check (MEAC); 6.2.2 A New Operator for Generating Explosion Sparks; 6.2.3 A New Mapping Operator; 6.2.4 A New Operator for Generating Gaussian Sparks"]
[{"$nulls":4},"6.2.5 A New Selection Operator"]
[null,null,null,"Sommario/riassunto","This book is devoted to the state-of-the-art in all aspects of fireworks algorithm (FWA), with particular emphasis on the efficient improved versions of FWA. It describes the most substantial theoretical analysis including basic principle and implementation of FWA and modelling and theoretical analysis of FWA. It covers exhaustively the key recent significant research into the improvements of FWA so far. In addition, the book describes a few advanced topics in the research of FWA, including multi-objective optimization (MOO), discrete FWA (DFWA) for combinatorial optimization, and GPU-based FWA for parallel implementation. In sequels, several successful applications of FWA on non-negative matrix factorization (NMF), text clustering, pattern recognition, and seismic inversion problem, and swarm robotics, are illustrated in details, which might shed new light on more real-world applications in future. Addressing a multidisciplinary topic, it will appeal to researchers and professionals in the areas of metaheuristics, swarm intelligence, evolutionary computation, complex optimization solving, etc."]
[null,"3.","Record Nr.",null,"UNINA9910765477203321"]
[null,null,"Autore",null,"Kajampady Suryanarayana"]
[null,null,"Titolo",null,"Advances in Renewable Energy & Electric Vehicles : Select Proceedings of AREEV 2022 / / edited by Suryanarayana Kajampady, Shripad T. Revankar"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9789819961511"]
[{"$nulls":4},"9819961513"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (258 pages)"]
[null,null,"Collana",null,"Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 1083"]
[null,null,"Disciplina",null,"621.31"]
[null,null,"Soggetti",null,"Electric power production"]
[{"$nulls":4},"Renewable energy sources"]
[{"$nulls":4},"Solid state physics"]
[{"$nulls":4},"Electrical Power Engineering"]
[{"$nulls":4},"Renewable Energy"]
[{"$nulls":4},"Electronic Devices"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Intro -- Contents -- About the Editors -- Review and Study of Solar String Inverters for a PV System -- 1 Introduction -- 2 Solar Inverter -- 3 Survey -- 4 Analysis of Single Phase and Three Phase Inverter -- 5 Conclusion -- References -- An Improved Strategic Analysis on Fault Diagnosis in Modular Multilevel Converter -- 1 Introduction -- 2 Modular Multilevel Converter-MMC -- 3 Overview of Faults in MMC -- 3.1 Open Circuit Fault -- 3.2 Short Circuit Fault -- 4 Fault Detection and Localization -- 5 Experimental Study of Open Short Circuit Faults -- 5.1 Experiment with Totem Pole Circuit -- 5.2 Test with TC4421 IC -- 6 Results and Discussion -- 7 Conclusion -- References -- Mathematical Model Approach to Study and Analyze FOC-Based PMSM Control -- 1 Introduction -- 2 Mathematical Modeling -- 3 Clarke's and Park's Transformation -- 4 Field Oriented Control -- 4.1 Current Controller -- 4.2 Speed Control -- 5 Graphical Analysis of the Designed Controller -- 6 Closed-Loop Simulation Result and Analysis -- 7 Conclusion -- References -- Review on Power Converter Topology for EV Fast Charger -- 1 Introduction -- 2 Overview of EV Charger -- 2.1 Classification of Electric Vehicle Charger Based on Power Flow Direction -- 2.2 Bidirectional AC/DC Converter -- 2.3 Single-Phase "]
[{"$nulls":4},"Totem Pole PFC [24] -- 2.4 Unidirectional AC/DC Converter -- 2.5 Bidirectional DC/DC Converter -- 2.6 DAB in CLLLC Mode -- 2.7 Unidirectional DC/DC Converter LLC -- 2.8 Phase Shifted Full Bridge Converter -- 3 Overview of AC/DC Topologies -- 4 Overview of DC/DC Topologies -- 5 Conclusion -- References -- Mathematical Modeling and Analysis of Interleaved Two-Phase Boost PFC -- 1 Introduction -- 2 System Overview -- 3 Modeling of interleaved boost pfc -- 4 Mode 2: T1 to T2 -- 5 Mode 3: T2 to T3 -- 6 Mode 4: T3 to T4 -- 7 Simulation and results -- 8 Conclusion -- References."]
[{"$nulls":4},"Design of a Solar Battery Charger with Maximum Power Point Tracking -- 1 Introduction -- 2 System Overview -- 3 Circuit Design -- 3.1 Selection of Buck Converter Components -- 3.2 Selection of MOSFETs -- 3.3 MOSFET Gate Driver Selection -- 3.4 Reverse Polarity Protection -- 3.5 Schematic Diagram of the Battery Charger -- 4 Voltage and Current Measurement -- 4.1 Battery Voltage Measurement -- 4.2 Panel Voltage Measurement -- 4.3 Current Measurement -- 5 Main Algorithm and MPPT Algorithm -- References -- Implementation of Edge Computing Model for the Processing of Data in Mines -- 1 Introduction -- 2 Design and Components -- 2.1 Components -- 2.2 Module Design -- 3 Methodology -- 3.1 Working Principle -- 3.2 Simulation -- 3.3 Setup -- 4 Result -- 4.1 Latency Comparision -- 4.2 Network Usage Comparison -- 5 Conclusion -- References -- Adaptive Protection of Solar PV Microgrid Without ESS -- 1 Introduction -- 2 Modeling of Microgrid -- 2.1 Inverter Control During Grid Connected Mode -- 2.2 Inverter Control During Islanded Mode -- 3 Overcurrent Adaptive Protection Scheme -- 4 Fault Analysis of Microgrid -- 5 Simulation Results for the Proposed Protection Scheme -- 6 Inferences -- 7 Conclusion -- References -- Comparative Study of Sensor and Sensor Less Speed Control of Permanent Magnet Synchronous Machines -- 1 Introduction -- 2 Mathematical Modeling of PMSM -- 3 Adaptive Mechanism -- 4 Development of SIMULINK Model -- 5 Results and Discussions -- 6 Conclusion -- References -- An Exposition of Digital Taylor-Fourier Transform -- 1 Introduction -- 2 Evolution of DTFT from DFT -- 3 Spectral Estimation Performance of DTFT -- 3.1 Performance of DTFT as a Phasor Measurer -- 3.2 Performance of DTFT as a Harmonic Filter Bank -- 3.3 Performance of DTFT in Estimating Exponentially Varying Sinusoids -- 4 Conclusions -- References."]
[{"$nulls":4},"Autonomous Microgrid Using New Perspective on Droop Control in AC Microgrid -- 1 Introduction -- 2 Microgrid Architecture with Controller -- 3 Proposed Virtual Impedance Method and Frequency Droop -- 4 Results and Discussions -- 5 Conclusion -- References -- Solar Photovoltaic Charging of Electric Vehicle and V2G for Indian Electricity Demand Scenario -- 1 Introduction -- 2 Related Works -- 3 Proposed Work -- 3.1 Control Strategy of EV Battery Charging and Discharging -- 3.2 Generation of Alpha, Beta, and Active Components -- 3.3 Control Strategy of Extracting Power from SPV -- 3.4 Control Strategy of V2G Technology -- 3.5 Control Strategy of G2V Technology -- 3.6 Generation of PWM Signals for the Bidirectional AC-DC Converter -- 4 Simulation and Results -- 4.1 V2G and Charging from SPV -- 4.2 V2G and Charging from Grid (G2V) -- 5 Conclusion and Future Scope -- References -- Review of Voltage SagSwell Mitigation Control Techniques with Dynamic Voltage Restorer in a Grid Integrated Distribution System -- 1 Introduction -- 2 Power Quality -- 3 Dynamic Voltage Restorer -- 4 Control Techniques -- 5 Conclusion -- References -- Parametric Sensitivity Analysis of STATCOM Supplementary Modulation Controller Incorporated in SMIB System -- 1 Introduction -- 1.1 System Description -- 2 Result and Analysis -- 3 Discussion -- 4 Conclusion -- References -- Review on the Addition "]
[{"$nulls":4},"of Antioxidants and Nanoparticles to Natural Ester as an Alternative to Transformer Oil -- 1 Introduction -- 2 Insulating Oils -- 2.1 Mineral Oil -- 2.2 Silicone Oil -- 2.3 Synthetic Esters -- 2.4 Natural Esters -- 3 AntiOxidants -- 4 Nanoliquid Dielectrics -- 4.1 Synthesis of Nanoparticles -- 4.2 Synthesis of Nanoliquids -- 5 Effect of Antioxidants and Nanoparticles on Natural Esters -- 6 Conclusion -- References."]
[null,null,null,"Sommario/riassunto","This book presents select peer-reviewed proceedings of the International Conference on Advances in Renewable Energy and Electric Vehicles (AREEV 2022). The topics covered include renewable energy sources, electric vehicles, energy storage systems, power system protection & security, smart grid, and wide bandgap semiconductor technologies. The book also discusses applications of signal processing, artificial neural networks, optimal and robust control systems, and modeling and simulation of power electronic converters. The book is a valuable reference for academics and professionals interested in power systems, renewable energy, and electric vehicles."]