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2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City : Volume 1
2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City : Volume 1
Autore Atiquzzaman Mohammed
Pubbl/distr/stampa Singapore : , : Springer Singapore Pte. Limited, , 2022
Descrizione fisica 1 online resource (1314 pages)
Altri autori (Persone) YenNeil
XuZheng
Collana Lecture Notes on Data Engineering and Communications Technologies Ser.
Soggetto genere / forma Electronic books.
ISBN 9789811674662
9789811674655
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Organization -- Preface -- Conference Program -- BDCPS 2021 Keynotes -- Contents -- Data Mining and Statistical Modelling for Smart City -- Application of Intelligent Ant Colony Algorithm in Rural Logistics Intelligent Distribution Route Planning -- 1 Introduction -- 2 Application of Swarm Intelligence Algorithm in Logistics Distribution Route Planning Under the Background of Rural Revitalization -- 2.1 Rural Logistics and Distribution Problems -- 2.2 Problem of Logistics Distribution Path -- 2.3 IACA -- 3 Experimental Research on Group Intelligence Algorithm in Logistics Distribution Path Planning Under the Background of Rural Revitalization -- 3.1 Swarm Intelligence Algorithm Structure Framework -- 4 Experimental Analysis of Group Intelligence Algorithm in Logistics Distribution Route Planning Under the Background of Rural Revitalization -- 4.1 Analysis of the Average Solution of CGA and IACA -- 4.2 Comparison of IACA with Other Algorithms -- 5 Conclusion -- References -- Sustainable Competitive Advantages of Chinese Online Travel Agents by RBV Model: A Data Based Analysis -- 1 Introduction -- 2 Literature Review -- 2.1 Industrial Analysis -- 2.2 RBV and Competitive Advantage -- 3 Methodology -- 3.1 Data Collection Method -- 3.2 Sample -- 3.3 Data Analysis Method -- 4 Result -- 4.1 Reliability Analysis -- 4.2 Validity Analysis -- 4.3 Variable Descriptive -- 4.4 Regression Analysis -- 5 Discussion -- 5.1 Digital Marketing -- 5.2 Cost Leadership -- 5.3 Payment Mode -- 5.4 Service Responsiveness -- 5.5 Product Variety -- 6 Conclusion -- References -- Kinematics Analysis of Aerobics Movement Decomposition Based on Multi-target Video Tracking Algorithm -- 1 Introduction -- 2 Multi-target Video Tracking Algorithm and Aerobics Movement Decomposition Kinematics Research.
2.1 Feasibility Analysis of Multi-sport Target Video Tracking Application Aerobics Movement Decomposition Kinematics -- 2.2 Multi-moving Target Video Tracking Algorithm -- 3 Kinematics Experiment of Calisthenics Action Decomposition Based on Multi-sport Target Video Tracking Algorithm -- 3.1 Experimental Design -- 3.2 Experimental Procedure -- 3.3 Data Processing -- 4 Result Analysis -- 4.1 Analysis of Angle Parameters of Lower Limb Joints -- 4.2 Kinematics Analysis of Trunk Movement Links -- 5 Conclusions -- References -- Color Network System of Folk Painting Based on Fractal Algorithm Theory -- 1 Introduction -- 2 Theoretical Research on the Color Network System of Folk Painting Based on Fractal Theory Algorithm -- 2.1 Basic Knowledge of Fractal Theory -- 2.2 Software Development Platform -- 2.3 Software Implementation Model -- 3 The Realization of Color Network System of Folk Painting Based on Fractal Theory Algorithm -- 3.1 System Experiment Content -- 3.2 Process of Color Network System -- 4 Experimental Data Analysis of Folk Painting Color Network System Based on Fractal Algorithm Theory -- 4.1 System Equipment Data Analysis -- 4.2 Comparative Analysis of the Color Reproduction Process -- 5 Conclusion -- References -- Design of College Teaching Quality Evaluation Based on Apriori Algorithm -- 1 Introduction -- 2 Theoretical Research on the Design of University TQES Based on Apriori Algorithm -- 2.1 Evaluation Standard of Teaching Quality in Colleges and Universities -- 2.2 Discussion on the Requirements of TQES in Colleges and Universities -- 2.3 System Design of University TQES Based on Apriori Algorithm -- 3 Implementation of TQES Based on Apriori Algorithm -- 3.1 System Operation Environment -- 3.2 System Function Realization -- 4 Test of TQES Based on Apriori Algorithm -- 4.1 Software Testing -- 4.2 System Test -- 5 Conclusion -- References.
Panal Data Analysis on the Environmental Effects of Global Value Chains: Based on the Empirical Study of Chinese Industrial Panel Data -- 1 Introduction -- 2 Analysis of the Affecting Mechanism of Global Value Chain on Environment -- 2.1 Scale Effect -- 2.2 Composition Effect -- 2.3 Technique Effect -- 3 Model Establishment -- 4 Empirical Analysis Results -- 4.1 Data Source and Processing -- 4.2 Econometric Analysis Results and Their Economic Connotations -- 5 Conclusions -- References -- The Application of Fusion Algorithm in Automobile Machinery Manufacturing Control System -- 1 Introduction -- 2 Application of Fusion Algorithm in Automobile Machinery Manufacturing Control System -- 2.1 PI Control Algorithm -- 2.2 Improved Sliding Mode Control Algorithm -- 2.3 Improved ADRC Algorithm -- 2.4 Software and Hardware Design of PMSM Servo Control System Based on Algorithm Fusion -- 3 Experimental Simulation -- 3.1 Servo System Current Simulation -- 3.2 Speed Simulation of Servo System -- 3.3 Position Simulation of Servo System -- 4 Result Analysis -- 4.1 Analysis of Current Simulation Results of Servo System -- 4.2 Speed Simulation Results Analysis of Servo System -- 5 Conclusion -- References -- Path of Data Mining and Analysis Technology in New Energy Vehicle Business Model Innovation -- 1 Introduction -- 2 Data Mining Analysis Technology and New Energy Vehicle Business Model -- 2.1 Data Mining Analysis Technology -- 2.2 Current Business Model of New Energy Vehicles -- 2.3 The Basic Principle and Process of Cluster Analysis -- 3 Application Experiment of Data Mining Analysis Technology in the Innovation Path of New Energy Vehicle Business Model -- 3.1 Experimental Background -- 3.2 Experimental Method -- 3.3 Experimental Results -- 4 Analysis and Discussion of Experimental Results.
4.1 Distribution of Traditional Business Models of Enterprises When Data Mining Technology is not Used -- 4.2 Research on the Path of Business Model Innovation for New Energy Automobile Companies Using Data Mining Technology -- 4.3 Problems Encountered During Use -- 5 Conclusions -- References -- Data Analysis and Application of Resource Search Algorithm in Basic Education Fairness -- 1 Introduction -- 2 Methods -- 2.1 Characteristics of P2P Network -- 2.2 Classical Resource Search Algorithm -- 2.3 The Impact of Injustice in Basic Education -- 3 Experiment -- 3.1 Data Sources -- 3.2 Algorithm Description -- 4 Discussion -- 4.1 Education Funding -- 4.2 Differences in Faculty -- 4.3 Targeted Suggestions -- 5 Conclusions -- References -- The Construction of the Influence Model of Artistic Creativity Based on AMOS Data Analysis -- 1 Research Motivation -- 2 Literature Review -- 3 Research Methods, Procedures and Assumptions -- 3.1 Research Structure -- 3.2 Research Hypothesis -- 3.3 Research Object -- 3.4 Research Tool -- 4 Analysis of Results -- 4.1 The Effect Verification of the Direct Effect of Innovation Atmosphere on Artistic Creativity -- 4.2 The Direct Effect of the Innovation Atmosphere on the Flow State and the Direct Effect of the Flow State on the Artistic Creativity -- 4.3 Mediation of Flow State -- 5 Conclusion and Suggestion -- 5.1 Innovation Atmosphere Has a Significant Positive Impact on Artistic Creativity -- 5.2 The Atmosphere of Organizational Innovation Has a Positive Impact on the State of Flow -- 5.3 Flow State Has a Positive Impact on Artistic Creativity -- 5.4 Flow State Plays a Completely Mediating Role in the Influence of Innovation Atmosphere on Artistic Creativity -- References -- The Construction of Mental Health Prediction Model Based on Data Mining Technology -- 1 Introductions.
2 Research on Mental Health Status and Data Mining Technology -- 2.1 Factors Affecting Mental Health -- 2.2 Data Mining -- 2.3 Predictive Analysis Algorithm -- 3 Construction of Mental Health Prediction Model Based on Data Mining Technology -- 3.1 Data Source -- 3.2 Evaluation Index -- 3.3 Prediction Steps -- 3.4 The Order of the Degree of Influence of the Independent Variable Factors on the Dependent Variable -- 3.5 Prediction Model Establishment -- 4 Detection of Predictive Models -- 5 Conclusions -- References -- Influence of Big Data Statistical Analysis Technology on Informational Learning Mode -- 1 Introduction -- 2 Educational Informatization and Talent Training Mode in the Information Environment -- 2.1 Information Technology Environment -- 2.2 Reform of Talent Training Mode Under the Information Environment -- 3 Teaching Experiment of Talent Training Model in Informatization Mode -- 3.1 Effect Inspection Method -- 3.2 Experimental Subject -- 3.3 Knowledge Level Test Paper -- 3.4 Data Statistics -- 4 Teaching Experimental Results of Talent Training Model in Information Mode -- 4.1 Comparison of Previous Two Groups -- 4.2 Comparison of Two Groups After Implementation -- 5 Conclusions -- References -- 3D Jewelry Design System Based on K-means Algorithm -- 1 Introduction -- 2 Jewelry 3D Design System Based on K-means Algorithm -- 2.1 Basic Principles of 3D Technology -- 2.2 Advantages of K-means Algorithm Application in Jewelry Design -- 2.3 3D Model Detail Optimization -- 3 Experiment -- 3.1 Interface Design -- 3.2 Login Module -- 3.3 Jewelry Attribute Selection Module -- 4 Discussion -- 5 Conclusions -- References -- The Development of Internet Plus Tourism Mode Based on Data Mining Technology -- 1 Introduction -- 2 The Development of IPT Based on DMT -- 2.1 IPT Development -- 2.2 IPT New Mode of Future Development Countermeasures.
2.3 Related Analysis of DMT.
Record Nr. UNINA-9910512172303321
Atiquzzaman Mohammed  
Singapore : , : Springer Singapore Pte. Limited, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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3D Imaging Technologies--Multi-Dimensional Signal Processing and Deep Learning : Mathematical Approaches and Applications, Volume 1 / / Lakhmi C. Jain, Roumen Kountchev, Junsheng Shi
3D Imaging Technologies--Multi-Dimensional Signal Processing and Deep Learning : Mathematical Approaches and Applications, Volume 1 / / Lakhmi C. Jain, Roumen Kountchev, Junsheng Shi
Autore Jain Lakhmi C
Pubbl/distr/stampa Singapore : , : Springer Singapore Pte. Limited, , 2021
Descrizione fisica 1 online resource (341 pages)
Altri autori (Persone) KountchevRoumen
ShiJunsheng
Collana Smart Innovation, Systems and Technologies
Soggetto topico Visualització tridimensional
Infografia
Processament digital de senyals
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 981-16-3391-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910502982103321
Jain Lakhmi C  
Singapore : , : Springer Singapore Pte. Limited, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Abstract Pattern Illustrations for Textile Printing
Abstract Pattern Illustrations for Textile Printing
Autore Murugesh Babu K
Pubbl/distr/stampa Singapore : , : Springer Singapore Pte. Limited, , 2021
Descrizione fisica 1 online resource (273 pages)
Altri autori (Persone) SelvadassM
ShisodiyaMegha
KabishAbera Kechi
Collana Textile Science and Clothing Technology Ser.
Soggetto genere / forma Electronic books.
ISBN 9789811659751
9789811659744
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910508434103321
Murugesh Babu K  
Singapore : , : Springer Singapore Pte. Limited, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Academic Flying and the Means of Communication
Academic Flying and the Means of Communication
Autore Bjørkdahl Kristian
Pubbl/distr/stampa Singapore : , : Springer Singapore Pte. Limited, , 2021
Descrizione fisica 1 online resource (376 pages)
Disciplina 001.2014
Altri autori (Persone) Franco DuharteAdrian Santiago
Soggetto genere / forma Electronic books.
ISBN 981-16-4911-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910514181903321
Bjørkdahl Kristian  
Singapore : , : Springer Singapore Pte. Limited, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Accelerator-Driven System at Kyoto University Critical Assembly
Accelerator-Driven System at Kyoto University Critical Assembly
Autore Pyeon Cheol Ho
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (353 pages)
Soggetto topico Atomic & molecular physics
Nuclear power & engineering
Spectrum analysis, spectrochemistry, mass spectrometry
Particle & high-energy physics
Soggetto non controllato Nuclear Physics, Heavy Ions, Hadrons
Nuclear Energy
Nuclear Chemistry
Particle Acceleration and Detection, Beam Physics
Nuclear Physics
Accelerator Physics
Open Access
Reactor Physics Experiments
ADS
KUCA
Subcriticality Measurement
Kinetics Parameter Estimation in Subcritical State
Nuclear Transmutation
Uncertainty Quantification
Atomic & molecular physics
Nuclear power & engineering
Nuclear chemistry, photochemistry & radiation
Particle & high-energy physics
ISBN 981-16-0344-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Contributors -- 1 Introduction -- 1.1 Kyoto University Critical Assembly -- 1.1.1 KUCA Facility -- 1.1.2 Solid-Moderated and Solid-Reflected Cores -- 1.1.3 Light-Water-Moderated and Light-Water-Reflected Core -- 1.1.4 Pulsed-Neutron Generator -- 1.1.5 Fixed-Field Alternating Gradient Accelerator -- 1.2 Accelerator-Driven System -- 1.2.1 Overview of Research and Development -- 1.2.2 Feasibility Study at KUCA -- References -- 2 Subcriticality -- 2.1 Feynman-α and Rossi-α Analyses -- 2.1.1 Experimental Settings -- 2.1.2 Formulae for Data Analyses -- 2.1.3 Results and Discussion -- 2.2 Power Spectral Analyses -- 2.2.1 Experimental Settings -- 2.2.2 Formula for Power Spectral Analyses -- 2.2.3 Results and Discussion -- 2.3 Beam Trip and Restart Methods -- 2.3.1 Experimental Settings -- 2.3.2 Data Analyses Method -- 2.3.3 Results and Discussion -- 2.4 Conclusion -- References -- 3 Reactor Kinetics -- 3.1 α-Fitting Method -- 3.1.1 Experimental Settings -- 3.1.2 Numerical Simulations -- 3.1.3 Results and Discussion -- 3.2 Pulsed-Neutron Source Method -- 3.2.1 Experimental Settings -- 3.2.2 Results and Discussion -- 3.3 Inverse Kinetic Method -- 3.3.1 Theoretical Background -- 3.3.2 Experimental Settings -- 3.3.3 Transient Analyses -- 3.4 Conclusion -- References -- 4 Effective Delayed Neutron Fraction -- 4.1 Dependency of External Neutron Source -- 4.1.1 Experimental Settings -- 4.1.2 Numerical Simulations -- 4.1.3 k-Ratio Method -- 4.2 Measurement -- 4.2.1 Nelson Number Method -- 4.2.2 Experimental Settings -- 4.2.3 Results and Discussion -- 4.3 Evaluation of βeff/Λ -- 4.3.1 Experimental Settings -- 4.3.2 Kinetics Parameters -- 4.3.3 Results and Discussion -- 4.4 Neutron Generation Time -- 4.4.1 Experimental Settings -- 4.4.2 Results and Discussion -- 4.5 Conclusion -- References -- 5 Neutron Spectrum.
5.1 Subcritical Multiplication Factor -- 5.1.1 Theoretical Background -- 5.1.2 Characteristics of the Target -- 5.1.3 Effects of Neutron Spectrum -- 5.2 Threshold Energy Reactions -- 5.2.1 Foil Activation Method -- 5.2.2 Activation Foils -- 5.3 Spectrum Index -- 5.3.1 Cd Ratio -- 5.3.2 In Ratio -- 5.4 Spallation Neutrons -- 5.4.1 Neutron Spectrum Analyses -- 5.4.2 Reaction Rates -- 5.5 Conclusion -- References -- 6 Nuclear Transmutation of Minor Actinide -- 6.1 Integral Experiments at Critical State -- 6.1.1 Critical Irradiation Experiments -- 6.1.2 Experimental Analyses -- 6.1.3 Discussion -- 6.2 ADS Irradiation at Subcritical State -- 6.2.1 Experimental Settings -- 6.2.2 Demonstration of Nuclear Transmutation -- 6.3 Conclusion -- References -- 7 Neutronics of Lead and Bismuth -- 7.1 Sample Reactivity Worth Experiments -- 7.1.1 Core Configuration -- 7.1.2 Experimental Settings -- 7.2 Monte Carlo Analyses -- 7.2.1 Evaluation Method -- 7.2.2 Lead Sample Reactivity Worth -- 7.2.3 Bismuth Sample Reactivity Worth -- 7.3 Sensitivity Coefficients -- 7.3.1 Theoretical Background -- 7.3.2 Lead Isotopes -- 7.3.3 Bismuth Isotope -- 7.4 Uncertainty Quantification -- 7.4.1 Theoretical Background -- 7.4.2 Lead Isotopes -- 7.4.3 Bismuth Isotope -- 7.5 Conclusion -- References -- 8 Sensitivity and Uncertainty of Criticality -- 8.1 Experimental Settings -- 8.1.1 Core Configuration -- 8.1.2 Reactivity Measurements -- 8.2 Criticality -- 8.2.1 Numerical Simulations -- 8.2.2 Sensitivity and Uncertainty -- 8.2.3 Results and Discussion -- 8.3 Benchmarks -- 8.3.1 Experimental Analyses -- 8.3.2 Uncertainty -- 8.4 Conclusion -- References -- Appendix A1: Experimental Benchmarks on ADS at Kyoto University Critical Assembly -- A1.1 Experimental Settings of ADS Benchmarks -- A1.1.1 Core Components -- A1.1.2 Atomic Number Density of Core Elements -- References.
Appendix A2: 235U-Fueled and Pb-Bi-Zoned ADS Core -- A2.1 Pb-Bi Target -- A2.1.1 Core Configurations -- A2.1.2 Results of Experiments -- A2.1.2.1 Reaction Rate Distribution -- A2.1.2.2 PNS and Feynman-α Methods -- A2.2 Subcriticality Measurements -- A2.2.1 Core Configurations -- A2.2.2 Results of Experiments -- A2.2.3 PNS and Feynman-α Methods -- A2.3 Reaction Rates -- A2.3.1 Core Configurations -- A2.3.2 Reaction Rate Distributions -- A2.3.3 Reaction Rates of Activation Foils -- References -- Appendix A3: 235U-Fueled and Pb-Zoned ADS Core -- A3.1 Core Configurations -- A3.1.1 ADS with 14 MeV Neutrons -- A3.1.2 ADS with 100 MeV Protons -- A3.2 Kinetics Parameters -- A3.2.1 ADS with 14 MeV Neutrons -- A3.2.1.1 Core Condition at Critical State -- A3.2.1.2 Case D1 (4560 HEU Plates) -- A3.2.1.3 Case D2 (4400 HEU Plates) -- A3.2.1.4 Case D3 (4320 HEU Plates) -- A3.2.1.5 Case D4 (4200 HEU Plates) -- A3.2.1.6 Case D5 (4080 HEU Plates) -- A3.2.1.7 Case D6 (3840 HEU Plates) -- A3.2.2 ADS with 100 MeV Protons -- A3.2.2.1 Core Condition at Critical State -- A3.2.2.2 Case F1 (4560 HEU Plates) -- A3.2.2.3 Case F2 (4440 HEU Plates) -- A3.2.2.4 Case F3 (4320 HEU Plates) -- A3.2.2.5 Case F4 (4200 HEU Plates) -- A3.2.2.6 Case F5 (4080 HEU Plates) -- A3.2.2.7 Case F6 (3960 HEU Plates) -- A3.2.2.8 Case F7 (3840 HEU Plates) -- A3.3 Reaction Rates -- A3.3.1 Core Configurations -- A3.3.2 Reaction Rate Distribution -- References -- Appendix A4: 235U-Fueled ADS Core in Medium-Fast Spectrum -- A4.1 Core Configurations -- A4.1.1 ADS with 14 MeV Neutrons -- A4.1.2 ADS with 100 MeV Protons -- A4.2 Results of Experiments -- A4.2.1 Criticality and Control Rod Worth -- A4.2.2 PNS and Feynman-α Methods -- A4.3 Kinetic Parameters -- A4.3.1 ADS with 14 MeV Neutrons -- A4.3.2 ADS with 100 MeV Protons -- A4.4 Reaction Rates -- A4.4.1 Core Configurations.
A4.4.2 Reaction Rate Distributions -- A4.4.3 Reaction Rates of Activation Foils -- References -- Appendix A5: 232Th-Fueled ADS Core -- A5.1 Core Configurations -- A5.2 Results of Experiments -- A5.2.1 Reaction Rate Distributions -- A5.2.2 PNS and Feynman-α Methods -- References.
Record Nr. UNINA-9910473449803321
Pyeon Cheol Ho  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Accelerator-Driven System at Kyoto University Critical Assembly
Accelerator-Driven System at Kyoto University Critical Assembly
Autore Pyeon Cheol Ho
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (353 pages)
Soggetto topico Atomic & molecular physics
Nuclear power & engineering
Spectrum analysis, spectrochemistry, mass spectrometry
Particle & high-energy physics
Soggetto non controllato Nuclear Physics, Heavy Ions, Hadrons
Nuclear Energy
Nuclear Chemistry
Particle Acceleration and Detection, Beam Physics
Nuclear Physics
Accelerator Physics
Open Access
Reactor Physics Experiments
ADS
KUCA
Subcriticality Measurement
Kinetics Parameter Estimation in Subcritical State
Nuclear Transmutation
Uncertainty Quantification
Atomic & molecular physics
Nuclear power & engineering
Nuclear chemistry, photochemistry & radiation
Particle & high-energy physics
ISBN 981-16-0344-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Contributors -- 1 Introduction -- 1.1 Kyoto University Critical Assembly -- 1.1.1 KUCA Facility -- 1.1.2 Solid-Moderated and Solid-Reflected Cores -- 1.1.3 Light-Water-Moderated and Light-Water-Reflected Core -- 1.1.4 Pulsed-Neutron Generator -- 1.1.5 Fixed-Field Alternating Gradient Accelerator -- 1.2 Accelerator-Driven System -- 1.2.1 Overview of Research and Development -- 1.2.2 Feasibility Study at KUCA -- References -- 2 Subcriticality -- 2.1 Feynman-α and Rossi-α Analyses -- 2.1.1 Experimental Settings -- 2.1.2 Formulae for Data Analyses -- 2.1.3 Results and Discussion -- 2.2 Power Spectral Analyses -- 2.2.1 Experimental Settings -- 2.2.2 Formula for Power Spectral Analyses -- 2.2.3 Results and Discussion -- 2.3 Beam Trip and Restart Methods -- 2.3.1 Experimental Settings -- 2.3.2 Data Analyses Method -- 2.3.3 Results and Discussion -- 2.4 Conclusion -- References -- 3 Reactor Kinetics -- 3.1 α-Fitting Method -- 3.1.1 Experimental Settings -- 3.1.2 Numerical Simulations -- 3.1.3 Results and Discussion -- 3.2 Pulsed-Neutron Source Method -- 3.2.1 Experimental Settings -- 3.2.2 Results and Discussion -- 3.3 Inverse Kinetic Method -- 3.3.1 Theoretical Background -- 3.3.2 Experimental Settings -- 3.3.3 Transient Analyses -- 3.4 Conclusion -- References -- 4 Effective Delayed Neutron Fraction -- 4.1 Dependency of External Neutron Source -- 4.1.1 Experimental Settings -- 4.1.2 Numerical Simulations -- 4.1.3 k-Ratio Method -- 4.2 Measurement -- 4.2.1 Nelson Number Method -- 4.2.2 Experimental Settings -- 4.2.3 Results and Discussion -- 4.3 Evaluation of βeff/Λ -- 4.3.1 Experimental Settings -- 4.3.2 Kinetics Parameters -- 4.3.3 Results and Discussion -- 4.4 Neutron Generation Time -- 4.4.1 Experimental Settings -- 4.4.2 Results and Discussion -- 4.5 Conclusion -- References -- 5 Neutron Spectrum.
5.1 Subcritical Multiplication Factor -- 5.1.1 Theoretical Background -- 5.1.2 Characteristics of the Target -- 5.1.3 Effects of Neutron Spectrum -- 5.2 Threshold Energy Reactions -- 5.2.1 Foil Activation Method -- 5.2.2 Activation Foils -- 5.3 Spectrum Index -- 5.3.1 Cd Ratio -- 5.3.2 In Ratio -- 5.4 Spallation Neutrons -- 5.4.1 Neutron Spectrum Analyses -- 5.4.2 Reaction Rates -- 5.5 Conclusion -- References -- 6 Nuclear Transmutation of Minor Actinide -- 6.1 Integral Experiments at Critical State -- 6.1.1 Critical Irradiation Experiments -- 6.1.2 Experimental Analyses -- 6.1.3 Discussion -- 6.2 ADS Irradiation at Subcritical State -- 6.2.1 Experimental Settings -- 6.2.2 Demonstration of Nuclear Transmutation -- 6.3 Conclusion -- References -- 7 Neutronics of Lead and Bismuth -- 7.1 Sample Reactivity Worth Experiments -- 7.1.1 Core Configuration -- 7.1.2 Experimental Settings -- 7.2 Monte Carlo Analyses -- 7.2.1 Evaluation Method -- 7.2.2 Lead Sample Reactivity Worth -- 7.2.3 Bismuth Sample Reactivity Worth -- 7.3 Sensitivity Coefficients -- 7.3.1 Theoretical Background -- 7.3.2 Lead Isotopes -- 7.3.3 Bismuth Isotope -- 7.4 Uncertainty Quantification -- 7.4.1 Theoretical Background -- 7.4.2 Lead Isotopes -- 7.4.3 Bismuth Isotope -- 7.5 Conclusion -- References -- 8 Sensitivity and Uncertainty of Criticality -- 8.1 Experimental Settings -- 8.1.1 Core Configuration -- 8.1.2 Reactivity Measurements -- 8.2 Criticality -- 8.2.1 Numerical Simulations -- 8.2.2 Sensitivity and Uncertainty -- 8.2.3 Results and Discussion -- 8.3 Benchmarks -- 8.3.1 Experimental Analyses -- 8.3.2 Uncertainty -- 8.4 Conclusion -- References -- Appendix A1: Experimental Benchmarks on ADS at Kyoto University Critical Assembly -- A1.1 Experimental Settings of ADS Benchmarks -- A1.1.1 Core Components -- A1.1.2 Atomic Number Density of Core Elements -- References.
Appendix A2: 235U-Fueled and Pb-Bi-Zoned ADS Core -- A2.1 Pb-Bi Target -- A2.1.1 Core Configurations -- A2.1.2 Results of Experiments -- A2.1.2.1 Reaction Rate Distribution -- A2.1.2.2 PNS and Feynman-α Methods -- A2.2 Subcriticality Measurements -- A2.2.1 Core Configurations -- A2.2.2 Results of Experiments -- A2.2.3 PNS and Feynman-α Methods -- A2.3 Reaction Rates -- A2.3.1 Core Configurations -- A2.3.2 Reaction Rate Distributions -- A2.3.3 Reaction Rates of Activation Foils -- References -- Appendix A3: 235U-Fueled and Pb-Zoned ADS Core -- A3.1 Core Configurations -- A3.1.1 ADS with 14 MeV Neutrons -- A3.1.2 ADS with 100 MeV Protons -- A3.2 Kinetics Parameters -- A3.2.1 ADS with 14 MeV Neutrons -- A3.2.1.1 Core Condition at Critical State -- A3.2.1.2 Case D1 (4560 HEU Plates) -- A3.2.1.3 Case D2 (4400 HEU Plates) -- A3.2.1.4 Case D3 (4320 HEU Plates) -- A3.2.1.5 Case D4 (4200 HEU Plates) -- A3.2.1.6 Case D5 (4080 HEU Plates) -- A3.2.1.7 Case D6 (3840 HEU Plates) -- A3.2.2 ADS with 100 MeV Protons -- A3.2.2.1 Core Condition at Critical State -- A3.2.2.2 Case F1 (4560 HEU Plates) -- A3.2.2.3 Case F2 (4440 HEU Plates) -- A3.2.2.4 Case F3 (4320 HEU Plates) -- A3.2.2.5 Case F4 (4200 HEU Plates) -- A3.2.2.6 Case F5 (4080 HEU Plates) -- A3.2.2.7 Case F6 (3960 HEU Plates) -- A3.2.2.8 Case F7 (3840 HEU Plates) -- A3.3 Reaction Rates -- A3.3.1 Core Configurations -- A3.3.2 Reaction Rate Distribution -- References -- Appendix A4: 235U-Fueled ADS Core in Medium-Fast Spectrum -- A4.1 Core Configurations -- A4.1.1 ADS with 14 MeV Neutrons -- A4.1.2 ADS with 100 MeV Protons -- A4.2 Results of Experiments -- A4.2.1 Criticality and Control Rod Worth -- A4.2.2 PNS and Feynman-α Methods -- A4.3 Kinetic Parameters -- A4.3.1 ADS with 14 MeV Neutrons -- A4.3.2 ADS with 100 MeV Protons -- A4.4 Reaction Rates -- A4.4.1 Core Configurations.
A4.4.2 Reaction Rate Distributions -- A4.4.3 Reaction Rates of Activation Foils -- References -- Appendix A5: 232Th-Fueled ADS Core -- A5.1 Core Configurations -- A5.2 Results of Experiments -- A5.2.1 Reaction Rate Distributions -- A5.2.2 PNS and Feynman-α Methods -- References.
Record Nr. UNISA-996466748203316
Pyeon Cheol Ho  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Adaptive Compensation of Nonlinear Actuators for Flight Control Applications
Adaptive Compensation of Nonlinear Actuators for Flight Control Applications
Autore Deb Dipankar
Pubbl/distr/stampa Singapore : , : Springer Singapore Pte. Limited, , 2021
Descrizione fisica 1 online resource (138 pages)
Altri autori (Persone) BurkholderJason
TaoGang
Collana Studies in Systems, Decision and Control Ser.
Soggetto genere / forma Electronic books.
ISBN 981-16-4161-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Acronyms and Symbols -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Linear and Nonlinear Actuators -- 1.2 Applications of Synthetic Jet Actuators -- 1.2.1 Synthetic Jet Actuators in Active Cooling -- 1.2.2 Synthetic Jet Actuators for Flight Control -- References -- 2 Synthetic Jet Actuators and Arrays: Modeling and Control -- 2.1 Physical Characteristics -- 2.2 Virtual Shaping and Flow Separation Control of Airfoils -- 2.3 Mathematical Models -- 2.4 Adaptive Inverse Compensation and Update Laws -- 2.4.1 Adaptive Inverse Function -- 2.4.2 Adaptive Update Signals -- 2.4.3 Stability Analysis -- 2.5 Performance Evaluation of SJA -- 2.6 Inverse Compensation for Actuator Arrays -- 2.6.1 Control Error Formulation -- 2.6.2 Adaptive Estimation of Uncertain Parameters -- 2.6.3 Robustness Issues -- 2.7 System Performance Evaluation with SJAA -- References -- 3 Adaptive Compensation at Low Angles of Attack: Nonlinear Aircraft Model -- 3.1 Nonlinear Aircraft System: A Benchmark Model -- 3.2 Feedback Control Law Design -- 3.2.1 Velocity Control -- 3.2.2 Flight Path Angle Dynamics -- 3.2.3 Wind Axis Angle Dynamics -- 3.2.4 Body Axis Rate Dynamics -- 3.3 Performance Analysis -- 3.4 Results and Discussions -- References -- 4 Adaptive Compensation at High Angles of Attack -- 4.1 Synthetic Jet Actuator Model Development -- 4.2 Nonlinearity Model of Synthetic Jet Actuators -- 4.2.1 Nonlinearity Models with Partially Known Parameters -- 4.2.2 Nonlinearity Models with Unknown Parameters -- 4.3 Adaptive Inverse Compensation Techniques -- 4.3.1 Adaptive Inverse Compensation: Exact Actuator Model -- 4.3.2 Adaptive Inverse Compensator: Approximate Model -- References -- 5 Signal-Dependent Uncertainty Compensation: A General Framework -- 5.1 Signal-Dependent Nonlinearity Compensation -- 5.1.1 Adaptive Inverse Function.
5.1.2 Control Error Expression -- 5.1.3 Estimation of the Model Mismatch Term -- 5.2 Adaptive Inverse Control System -- 5.3 Adaptation Scheme -- 5.4 Performance Evaluation -- References -- 6 NN-Based High-Order Adaptive Compensation Framework for Signal Dependencies -- 6.1 Higher-Order Inverse Parametrization Schemes -- 6.1.1 Neural Network Based Inverse Parametrization -- 6.1.2 Approximation Error Analysis -- 6.2 A Benchmark Pitch-Plane Control System -- 6.3 Parameter Adaptation and Stability Analysis -- References -- 7 Adaptive Synthetic Jet Actuation for Aircraft Control -- 7.1 Wide-Range Angles of Attack Model -- 7.2 Adaptive Inverse Design of Actuator Nonlinearities -- 7.2.1 Control Error Expression -- 7.3 Nonlinear Aircraft Control Law Development -- 7.4 Adaptation Scheme -- 7.5 Performance Analysis -- 7.6 Concluding Remarks -- References.
Record Nr. UNINA-9910497094403321
Deb Dipankar  
Singapore : , : Springer Singapore Pte. Limited, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Adjustments for Students with Special Needs in General Education Classes : Current Practice and Future Directions
Adjustments for Students with Special Needs in General Education Classes : Current Practice and Future Directions
Autore Carter Mark
Edizione [1st ed.]
Pubbl/distr/stampa Singapore : , : Springer Singapore Pte. Limited, , 2024
Descrizione fisica 1 online resource (173 pages)
Altri autori (Persone) WebsterAmanda
StephensonJennifer
MorrisTalia M
Collana SpringerBriefs in Education Series
Soggetto topico Educació inclusiva
Alumnes amb discapacitat
Soggetto genere / forma Llibres electrònics
ISBN 981-9991-38-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Contents -- List of Tables -- 1 Introduction and Background -- 1.1 Introduction -- 1.2 Terminology Relating to Adjustments -- 1.3 Responses to Inclusive Education and the Need for Adjustment -- 1.4 Universal Design for Learning and Differentiated Instruction -- 1.5 Multi-tiered Systems of Support -- 1.6 Teaching Assistants -- 1.7 Approaches to Examining Adjustments -- 1.8 Aims of the Systematic Review -- References -- 2 Methodology -- 2.1 Search Strategy -- 2.2 Abstract Screening -- 2.3 Full Text Screening -- 2.4 Data Extraction -- References -- 3 Results and Discussion-What We Know About Adjustments and Implications -- 3.1 Introduction -- 3.2 Geographic Region -- 3.3 Student Sample Size -- 3.4 Level of Schooling -- 3.5 Student Diagnostic Categories -- 3.6 Participants Contributing Data -- 3.7 Methodology -- 3.8 Research Quality Indicators -- 3.9 Assessment -- 3.10 Curriculum -- 3.11 Instruction -- 3.11.1 Specific Adjustments -- 3.11.2 Frameworks to Support Adjustments -- 3.11.3 Summary and Implications -- 3.12 Classroom Environment, Organisation, and Management -- 3.13 Human Resource Use -- 3.14 Access to Technology -- 3.15 Themes -- 3.15.1 Basis of Selection -- 3.15.2 Degree of Adjustment and Meeting Student Needs -- 3.15.3 Student Voice in Adjustment -- 3.15.4 Variation Across Diagnosis -- 3.15.5 Variation Across Level of Schooling -- 3.16 Limitations of the Review -- References -- 4 Major Implications and Future Directions -- 4.1 Introduction -- 4.2 Alignment to Inclusive Frameworks -- 4.3 Implications for Practice -- 4.3.1 Implications for School Leaders -- 4.3.2 Implications for Policy-Makers and Educational Authorities -- 4.3.3 Using Implementation Science -- 4.3.4 Implications for Teachers -- 4.4 Implications for Researchers -- 4.5 Conclusion -- References.
Appendix A Details of Geographic Location, Setting, Total Student Sample Size and Diagnoses -- Appendix B Details of Participants Contributing Data -- Appendix C Classification of Methodology -- Appendix D Study Quality Criteria -- Appendix E Themes Identified by Study -- Appendix F Use of Human Resources -- Appendix G Differentiation and Meeting Student Needs.
Record Nr. UNINA-9910805580203321
Carter Mark  
Singapore : , : Springer Singapore Pte. Limited, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Combustion for Sustainable Transport
Advanced Combustion for Sustainable Transport
Autore Agarwal Avinash Kumar
Pubbl/distr/stampa Singapore : , : Springer Singapore Pte. Limited, , 2022
Descrizione fisica 1 online resource (367 pages)
Altri autori (Persone) MartínezAntonio García
KalwarAnkur
ValeraHardikk
Collana Energy, Environment, and Sustainability Ser.
Soggetto genere / forma Electronic books.
ISBN 9789811684180
9789811684173
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Editors and Contributors -- Part I General -- 1 Introduction to Advanced Combustion for Sustainable Transport -- References -- Part II Advanced Combustion Technologies for CI Engines -- 2 Strategical Evolution of Clean Diesel Combustion -- 2.1 Introduction -- 2.1.1 Future of Diesel Engine -- 2.1.2 CDC and LTC -- 2.2 Practical Limit of the Efficiency -- 2.2.1 Constraints for Optimisation -- 2.2.2 Heat Loss -- 2.3 Mechanisms of Pollutant Formation -- 2.3.1 Soot Formation -- 2.3.2 CO and UHC Formation -- 2.4 Strategic Evolution of CDC -- 2.4.1 Injection Strategies -- 2.4.2 Swirl and Intake Geometry -- 2.4.3 Piston Bowl Geometry -- 2.5 Future Research Directions -- 2.5.1 Thermal Aspects -- 2.5.2 Interdisciplinary Aspects -- 2.6 Summary -- References -- 3 Multi-mode Low Temperature Combustion (LTC) and Mode Switching Control -- 3.1 Introduction -- 3.1.1 Limitations of LTC Operation -- 3.1.2 Benefits of Multi-mode Operation -- 3.1.3 Optimal Control of Multi-mode LTC Engine -- 3.2 Controlled Variables -- 3.2.1 Combustion Phasing -- 3.2.2 Engine Load -- 3.2.3 Exhaust Gas Temperature -- 3.2.4 Maximum Pressure Rise Rate -- 3.2.5 Engine-Out Emissions -- 3.2.6 COVimep -- 3.3 Control Actuators -- 3.3.1 Variable Valve Actuation -- 3.3.2 Fuel Injection System -- 3.3.3 Fast Thermal Management (FTM) -- 3.3.4 Exhaust Gas Recirculation (EGR) -- 3.3.5 Intake Air Pressure Boosting System -- 3.4 LTC Control -- 3.4.1 Model-Free Closed-Loop Control Systems -- 3.4.2 Model-Based Closed-Loop Control Systems -- 3.4.3 HCCI Control -- 3.4.4 PPCI Control -- 3.4.5 RCCI Control -- 3.5 Mode Switching Control -- 3.5.1 SI-HCCI-SI Mode Switching -- 3.5.2 HCCI-ASSCI-SI Mode Switching -- 3.5.3 HCCI-PPCI Mode Switching -- 3.5.4 CDC-PPCI Mode Switching -- 3.6 CDC-RCCI Mode Switching -- 3.7 RCCI-CDF Mode Switching -- 3.8 Summary -- References.
4 State of the Art in Low-Temperature Combustion Technologies: HCCI, PCCI, and RCCI -- 4.1 Introduction -- 4.1.1 Single Fuelled and Dual Fuelled Advance Combustion Technique -- 4.2 Strategies to Develop Low-Temperature Combustion Technology -- 4.2.1 Homogeneous Charge Compression Ignition Combustion (HCCI) -- 4.2.2 Premixed Charge Compression Ignition Combustion (PCCI) -- 4.2.3 Reactivity Controlled Compression Ignition (RCCI) -- 4.3 Concluding Remarks -- 4.4 Declaration of Competing Interest -- References -- 5 Combustion in Diesel Fuelled Partially Premixed Compression Ignition Engines -- 5.1 Introduction -- 5.2 Conventional Diesel Jet Combustion Model -- 5.3 Chemical Kinetics -- 5.4 Planar Laser-Induced Florescence (PLIF) -- 5.5 First Stage Ignition -- 5.6 Second Stage Ignition -- 5.7 Summary and Way Forward -- References -- 6 Gasoline Compression Ignition Combustion Strategies and Recent Engine System Developments for Commercial and Passenger Transport Applications -- 6.1 Introduction -- 6.2 Gasoline Autoignition Behavior -- 6.3 Gasoline Spray Characteristics -- 6.4 Overview of GCI Combustion Strategies -- 6.4.1 Homogeneous or Lightly-Stratified GCI (HCCI) -- 6.4.2 Partially-Premixed GCI (PPCI) -- 6.4.3 Mixing-Controlled GCI (MCCI) -- 6.5 Recent System-Level Developments of GCI Engines -- 6.5.1 15 L Heavy-Duty GCI Engine for Meeting 0.02 g/hp-Hr Tailpipe NOx -- 6.5.2 2.2 L Gasoline Direct Injection Compression Ignition Engine -- 6.5.3 1.4 L Mixed-Mode Gasoline Low Temperature Combustion Engine -- 6.5.4 2 L Mazda Skyactiv-X Gasoline Engine -- 6.5.5 Technology Outlook for GCI -- 6.6 Summary -- References -- Part III Advanced Combustion Technologies for SI Engines -- 7 Optical Diagnostics for Gasoline Direct Injection Engines -- 7.1 Introduction -- 7.2 Optical Diagnostics in GDI Engines -- 7.2.1 In-cylinder Spray Characterization.
7.2.2 In-cylinder Flows and Spray-Flow Interactions -- 7.2.3 Fuel-Air Mixture Formation -- 7.2.4 Flame Evolution and Pollutant Formation -- 7.3 Summary and Way-Forward -- References -- Part IV Dual-Fuel Combustion Technology -- 8 Dual-Fuel Internal Combustion Engines for Sustainable Transport Fuels -- 8.1 Introduction -- 8.2 Different Biofuels and Their Blends for Transportation -- 8.2.1 Dual Fuel System -- 8.2.2 Biomethane CNG Hybrid -- 8.3 Biogas-Biodiesel Fuel Mix for SI Engines -- 8.3.1 Potential Single Fuel Systems that Can Be Blended and Their Characteristics -- 8.3.2 Dual Fuel Blending Techniques: Methods of Preparation, Homogenization and Their Selection Criteria -- 8.3.3 Conditions for Maximizing the Combustion Potentials of Dual Fuels in ICEs -- 8.3.4 Factors Effecting Dual Fuel Characteristics in SI Engines -- 8.3.5 Dual Fuel Systems and Engine Life -- 8.3.6 Current Trends in the Use of Biofuels as High-Performance Engine Fuels -- 8.4 Future Prospects of Dual-Fuel System as an Alternative Fuel -- 8.5 Sustainable Technologies for Alternative Fuels and Future Challenges -- 8.5.1 Sustainable Technologies -- 8.5.2 Current Challenges and Future Trends -- 8.6 Conclusion -- References -- 9 Compressed Natural Gas Utilization in Dual-Fuel Internal Combustion Engines -- 9.1 Introduction -- 9.2 Natural Gas -- 9.3 Dual-Fuel Engines -- 9.4 CNG-Diesel Dual-Fuel Engines -- 9.5 CNG-Gasoline Dual-Fuel Engine -- 9.6 Summary and Way-Forward -- References -- Part V Miscellaneous -- 10 Analysis of the Potential Metal Hydrides for Hydrogen Storage in Automobile Applications -- 10.1 Introduction -- 10.2 Physisorption-Based Hydrogen Storage -- 10.2.1 Metal Organic Frameworks (MOFs) -- 10.2.2 Porous Carbons -- 10.2.3 Zeolites -- 10.3 Chemisorption-Based Hydrogen Storage -- 10.3.1 Complex Metal Hydrides -- 10.3.2 Metal Hydrides -- 10.4 Metal Hydride Properties.
10.4.1 Metal Hydrides Available -- 10.4.2 Equilibrium Pressure for Metal Hydrides -- 10.4.3 Thermal Modelling of Metal Hydrides -- 10.5 Requirements of Metal Hydrides for On-Board Applications -- 10.5.1 Achieving the Required Pressure -- 10.5.2 Achieving the Required Heat Transfer -- 10.5.3 Mass and Volume Considerations -- 10.5.4 Recyclability of Metal Hydrides for Many Cycles -- 10.6 Conclusion -- References -- 11 Waste Heat Recovery Potential from Internal Combustion Engines Using Organic Rankine Cycle -- 11.1 Introduction -- 11.1.1 WHR System Evolution and Trends -- 11.1.2 Current State-of-the-Art of the ORC Systems -- 11.2 Fundamentals of Organic Rankine Cycle (ORC) -- 11.2.1 Thermodynamic Analysis of the ORC System -- 11.2.2 ORC System Components -- 11.2.3 Working Fluids for ORC Systems -- 11.3 Economic Analysis of the ORC Systems -- 11.4 WHR System for ICEs: Advantages and Challenges -- 11.5 Future Directions in WHR Technologies -- References.
Record Nr. UNINA-9910513586603321
Agarwal Avinash Kumar  
Singapore : , : Springer Singapore Pte. Limited, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Computational Paradigms and Hybrid Intelligent Computing : Proceedings of ICACCP 2021
Advanced Computational Paradigms and Hybrid Intelligent Computing : Proceedings of ICACCP 2021
Autore Gandhi Tapan Kumar
Pubbl/distr/stampa Singapore : , : Springer Singapore Pte. Limited, , 2022
Descrizione fisica 1 online resource (653 pages)
Altri autori (Persone) KonarDebanjan
SenBiswaraj
SharmaKalpana
Collana Advances in Intelligent Systems and Computing Ser.
Soggetto genere / forma Electronic books.
ISBN 9789811643699
9789811643682
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910512174303321
Gandhi Tapan Kumar  
Singapore : , : Springer Singapore Pte. Limited, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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