top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Development of geopolymer from pond ash-thermal power plant waste : novel constructional materials for civil engineers / / edited by Muktikanta Panigrahi, Ratan Indu Ganguly, and Radha Raman Dash
Development of geopolymer from pond ash-thermal power plant waste : novel constructional materials for civil engineers / / edited by Muktikanta Panigrahi, Ratan Indu Ganguly, and Radha Raman Dash
Pubbl/distr/stampa Hoboken, NJ : , : John Wiley & Sons, Inc., and Scrivener Publishing LLC, , 2023
Descrizione fisica xii, 255 pages : illustrations; ; 24 cm
Soggetto topico Materials - Technological innovations
Building materials
Materials science
ISBN 9781394166527
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Historical Development of Construction Materials - From Stone Age to Modern Age -- 1.1 Introduction -- 1.2 Chronological Development of Construction -- 1.2.1 Neolithic Age -- 1.2.2 Copper Age and Bronze Age -- 1.2.3 Iron Age and Steel Age -- 1.2.4 Ancient Mesopotamia -- 1.2.5 Ancient Egypt -- 1.2.6 Ancient Greece and Rome -- 1.2.7 Ancient China -- 1.2.8 The Middle Ages -- 1.2.9 The Renaissance -- 1.2.10 The Seventeenth Century -- 1.2.11 The Eighteenth Century -- 1.2.12 The Nineteenth Century -- 1.2.13 The Twentieth Century -- 1.3 Different Types of Ash Used in Construction -- 1.3.1 Wood Ash -- 1.3.2 Rice Husk Ash -- 1.3.3 Cigar Ash -- 1.3.4 Volcanic Ash -- 1.3.5 Quarry Dust -- 1.3.6 Coconut Shell Ash -- 1.3.7 Coal Ash and Fly Ash -- 1.3.8 Fly Ash Generation -- 1.3.9 Nature and Composition of Thermal Power Plant Ashes -- 1.3.10 Pond Ash -- 1.3.11 Various Uses of Pulverized Fuel Ash -- 1.3.12 Importance of Pond Ash Management -- 1.4 Physical Characteristics of Coal Ashes -- 1.5 Coal Ash Utilization -- 1.6 Slag -- 1.6.1 Generation of Slag -- 1.6.2 Slag Properties and Utilization -- 1.7 Geopolymers -- 1.7.1 Constituents of Geopolymers -- 1.7.2 Geopolymer Properties -- 1.8 Durability of Concrete -- 1.9 Accelerated Durability Testing -- 1.10 Conclusion(S) -- Acknowledgments -- References -- Chapter 2 Fundamentals of Geopolymer Cementitious Materials -- 2.1 Introduction -- 2.2 Parameters of Geopolymer Concrete -- 2.3 Geopolymer Formation Mechanism -- 2.4 Conclusions -- Acknowledgments -- References -- Chapter 3 Pond Ash (PA)-Based Geopolymer Cementitious Materials -- 3.1 Introduction -- 3.2 Experimental Details -- 3.2.1 Materials -- 3.2.1.1 Pond Ash -- 3.2.1.2 Physical Properties of Pond Ash -- 3.2.1.3 Chemicals -- 3.2.2 Preparation of Geopolymer from Pond Ash.
3.2.3 Test Methods -- 3.2.4 Results and Discussion -- 3.3 Conclusions -- Acknowledgments -- References -- Chapter 4 Quantification of Variables on Strength Property of Pond Ash (PA)-Based Geopolymer -- 4.1 Introduction -- 4.2 Experimental Details -- 4.2.1 Materials and Method -- 4.2.2 Preparation of Geopolymer from Raw Materials -- 4.2.3 Characterization of Prepared Samples -- 4.3 Results and Discussion -- 4.3.1 Testing of Significance Coefficients -- 4.4 Conclusions -- Acknowledgments -- References -- Chapter 5 Development of Pond Ash (PA)-High Carbon Ferrochrome (HCFC) Slag-Based Geopolymer Cementitious Materials -- 5.1 Introduction -- 5.2 Experimental Details -- 5.2.1 Source of Materials -- 5.2.2 PA/HCFC Slag-Based Geopolymer (GP) Preparation -- 5.2.3 PA/HCFC-Based Geopolymeric Mortar and Concrete -- 5.2.4 Characterizations of PA/HCFC-Based Geopolymeric Material -- 5.2.5 Results and Discussion -- 5.3 Conclusions -- Acknowledgments -- References -- Chapter 6 Pond Ash (PA)-Jute Fiber-Based Geopolymer Cementitious Materials -- 6.1 Introduction -- 6.2 Experimental Details -- 6.2.1 Chemicals and Materials -- 6.2.1.1 Physical Properties of Jute Fiber -- 6.2.2 PA/Jute Fiber-Based Geopolymer, Mortar and Concrete -- 6.2.3 Results and Discussion -- 6.3 Conclusions -- Acknowledgments -- References -- Chapter 7 Corrosion of Pond Ash (PA)-Based Geopolymer Products -- 7.1 Introduction -- 7.2 Experimental Details -- 7.2.1 Chemicals and Materials -- 7.2.2 Preparation of Pond Ash-Based Geopolymer Products -- 7.2.2.1 Pond Ash-Based Geopolymer Mortar Preparation -- 7.2.2.2 Pond Ash-Based Geopolymer Concrete Preparation -- 7.2.3 Characterizations of Pa-Based Geopolymer GP Mortar/Concrete (Before and After) Corrosion -- 7.2.4 Results and Discussion -- 7.3 Conclusions -- Acknowledgments -- References.
Chapter 8 Applications, Challenges and Opportunities of Geopolymer Materials -- 8.1 Introduction -- 8.2 Challenges -- 8.3 Opportunity -- 8.4 Conclusions -- Acknowledgments -- References -- Index -- EULA.
Record Nr. UNINA-9910831048203321
Hoboken, NJ : , : John Wiley & Sons, Inc., and Scrivener Publishing LLC, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Food safety, plastics and sustainability : materials, chemicals, recycling and the circular economy / / Johannes Karl Fink
Food safety, plastics and sustainability : materials, chemicals, recycling and the circular economy / / Johannes Karl Fink
Autore Fink Johannes Karl
Pubbl/distr/stampa Hoboken, NJ : , : John Wiley & Sons, Inc., and Scrivener Publishing LLC, , [2023]
Descrizione fisica 1 online resource (424 pages)
Disciplina 664.09
Soggetto topico Food - Safety measures
ISBN 1-394-17519-1
1-394-17518-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Food Safety -- 1.1 Food Security -- 1.2 Migration of Substances from Packaging -- 1.2.1 Modeling of Migration -- 1.2.2 Sample Pretreatment Methods -- 1.2.3 Special Chemicals -- 1.2.4 Safety of Recycled HDPE and PP -- 1.3 Food Safety and Hygiene -- 1.3.1 Sensors for Amine Detection -- 1.4 Impact of Microplastics on Humans and the Environment -- 1.4.1 Polychlorinated Biphenyl Compounds -- 1.4.2 Polycyclic Aromatic Hydrocarbon Compounds -- 1.4.3 Organochlorine Pesticides -- 1.4.4 Carcinogens -- 1.5 Methods of Food Packaging -- 1.6 Recycling Safety -- References -- Chapter 2 Regulations -- 2.1 European Strategy for Plastics -- 2.2 Basic Principles of Packaging -- 2.3 Colorants and Optical Brighteners -- 2.4 Non-intentionally Added Substances in Food Contact Material -- 2.4.1 Analysis Methods -- 2.5 Recycling -- 2.5.1 Recycled Plastics in Food Packaging -- 2.5.2 Planning and Decision-Making Process -- 2.5.3 Mechanical Recycled Plastics -- 2.6 Standards -- 2.6.1 Gloves -- 2.6.2 Specifications for Compostable Plastics -- 2.6.3 Containers for Packaging of Liquid Foodstuffs -- 2.6.4 Williams-Landel-Ferry Equation -- References -- Chapter 3 Testing Methods -- 3.1 Risk Assessment -- 3.2 Antimicrobial Packaging -- 3.3 Food Colorants -- 3.3.1 Milk Freshness Testing -- 3.3.2 Meat Freshness Testing -- 3.3.3 Fish Freshness Testing -- 3.4 Standards -- 3.4.1 Odor and Taste Transfer from Packaging Film -- 3.4.2 Annealed Aluminum and Aluminum-Alloy Foil for Food Contact -- 3.4.3 Detection of Leaks in Packages -- 3.4.4 Changes in Sensory Attributes -- 3.4.5 Irradiated Food Contact Materials -- 3.4.6 Oxygen Headspace Analysis -- References -- Chapter 4 Food Packaging -- 4.1 Automated Method -- 4.2 Multilayer Packaging -- 4.3 Flexible Packaging -- 4.4 Multicomponent Package -- 4.4.1 Barrier Films.
4.5 Chlorine Dioxide Gas-Releasing Package -- 4.6 Sustainable Food Packaging -- 4.7 Ventable Food Packages -- 4.7.1 Ventable Microwave-Safe Food Package -- 4.7.2 Self-Venting Microwave-Safe Food Package -- 4.7.3 Smart and Active Food Packaging -- 4.8 Packages for Pourable Food -- 4.9 Food Storage -- 4.9.1 Trays -- 4.9.2 Storage Container -- 4.9.3 Storage System -- 4.10 Special Materials for Food Packaging -- 4.10.1 Film-Forming Biodegradable Classes -- 4.10.2 Cytotoxicity -- 4.10.3 Microwavable Food Packaging Materials -- 4.10.4 Film-Forming Materials -- 4.10.5 Antimicrobial Biodegradable Food Packaging -- 4.10.6 Multilayer Films for Food Packaging -- 4.10.7 Bilayer Film with Dihydromyricetin -- References -- Chapter 5 Materials -- 5.1 Nanocomposites -- 5.1.1 PVC/Ag Nanocomposites -- 5.1.2 Montmorillonite Clays -- 5.1.3 Graphene Nanoplates -- 5.1.4 Carbon Nanotubes -- 5.1.5 Micro- and Nanoplastics -- 5.2 Biopolymers -- 5.2.1 Proteins -- 5.2.2 Gelatin -- 5.2.3 Storage Polymers in Bacterial Cells -- 5.2.4 Bio-Based Nanocomposites -- 5.2.5 Starch -- 5.2.6 Dry Heating Treatment -- 5.2.7 Thermoplastic Starch -- 5.2.8 Modified Starch -- 5.2.9 Starch-Based Foams -- 5.2.10 Residual Starch from Potato -- 5.2.11 Cellulose -- 5.2.12 Biodegradable Polymer Reinforced with Cellulose Nanocrystals -- 5.2.13 Cellulose Nanofibrils -- 5.2.14 Chia Seeds -- 5.2.15 Poly(lactic acid) -- 5.2.16 Poly(hydroxyalkanoate)s -- 5.2.17 Poly(hydroxybutyrate) -- 5.2.18 Poly(caprolactone) -- 5.3 Microplastics -- 5.3.1 Microplastics in the Environment -- 5.3.2 Microplastics in Food -- 5.3.3 Microplastics in Agroecosystems -- 5.3.4 Release of Microplastics -- 5.4 Single-Use Materials -- 5.5 Edible Films -- 5.5.1 Poly(saccharide)s -- 5.5.2 Cellulose -- References -- Chapter 6 Additives -- 6.1 Chemical Additives -- 6.1.1 Hazardous Metal Additives -- 6.2 Mathematical Models.
6.3 Evaluation of Models -- 6.4 Plastic Additives by Swelling -- 6.5 Fatty Acid Amide -- 6.5.1 Plasticizers -- 6.5.2 Antioxidants -- 6.5.3 Monomers and Oligomers -- 6.5.4 Light Stabilizers -- 6.5.5 Slip Additives -- 6.6 Perfluorinated Compounds -- 6.7 Toxic Materials in Plastics -- 6.8 Aflatoxins -- 6.8.1 Sorbents for Aflatoxin -- 6.9 Migration of Additives from Plastics into Food -- 6.10 Marine Environments -- 6.11 Surfactants -- 6.12 Salting-Out Agents -- 6.12.1 Determination of Food Stimulants -- 6.12.2 Determination of Biogenic Amines -- 6.12.3 Liquid-Liquid Microextraction -- 6.12.4 Determination of Aromatic Amines -- References -- Chapter 7 Applications -- 7.1 Glaze-Like Coatings -- 7.2 Functional Food Applications -- 7.2.1 Fructan -- 7.2.2 Zogale -- 7.2.3 Garcinia indica -- 7.2.4 Mulberry Plants -- 7.2.5 Citrus Seeds -- 7.2.6 Vine Tea -- 7.2.7 Anti-Stress Drugs -- 7.2.8 Microalgae -- 7.2.9 Phenolics -- 7.2.10 Liposomes -- 7.2.11 Diacylglycerol Functional Oil -- 7.3 Prevention of Oxidation -- 7.3.1 Photo-oxidation -- 7.3.2 Lipid Oxidation -- 7.3.3 Natural Antioxidants -- 7.3.4 Extraction Methods for Natural Antioxidants -- 7.4 Heterocyclic Aromatic Amines in Prepared Food -- 7.5 Radiation-Curable Compositions -- 7.6 Antimycotics -- References -- Chapter 8 Recycling -- 8.1 Identification of the Materials -- 8.1.1 Spectroscopic Methods -- 8.1.2 Real Time Mass Spectrometry -- 8.1.3 Optical Identification -- 8.1.4 Chemical Safety Aspects -- 8.1.5 Migration of Contaminants -- 8.1.6 Migration of Plasticizers -- 8.1.7 Migration of Aluminum and Silicon -- 8.2 Recycling Methods -- 8.2.1 Delamination -- 8.2.2 Separation -- 8.2.3 Mechanical Recycling -- 8.2.4 Selective Dissolution -- 8.2.5 Dissolution-Reprecipitation Technique -- 8.2.6 Compatibilization -- 8.2.7 Feedstock Recycling -- 8.2.8 Closed-Loop Recycling -- 8.2.9 Supercritical Ethanol.
8.3 Post-Consumer Polyolefins -- 8.3.1 Predictive Models -- 8.3.2 Safety Concerns -- 8.3.3 Multilayer Composites -- 8.3.4 Recyclability Enhancement of Food Containers -- 8.4 Plastic Waste Generation -- 8.5 Recycled Plastics in Food Contact -- 8.5.1 Improving Safety and Quality -- References -- Index -- Acronyms -- Chemicals -- General Index -- EULA.
Record Nr. UNINA-9910713831003321
Fink Johannes Karl  
Hoboken, NJ : , : John Wiley & Sons, Inc., and Scrivener Publishing LLC, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modeling and Optimization of Optical Communication Networks / / edited by Chandra Singh [and three others]
Modeling and Optimization of Optical Communication Networks / / edited by Chandra Singh [and three others]
Edizione [First edition.]
Pubbl/distr/stampa Hoboken, NJ : , : John Wiley & Sons, Inc., and Scrivener Publishing LLC, , [2023]
Descrizione fisica 1 online resource (431 pages)
Disciplina 781.34
Soggetto topico Computer networks
Application software
Electrical engineering
Management information systems
ISBN 1-119-83955-6
1-119-83956-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Investigation on Optical Sensors for Heart Rate Monitoring -- 1.1 Introduction -- 1.2 Overview of PPG -- 1.2.1 PPG Waveform -- 1.2.2 Photoplethysmography Waveforms Based on the Origin of Optical Concern -- 1.2.3 Photoplethysmography's Early on and Modern Records -- 1.2.4 Building Blocks of Photoplethysmography -- 1.2.5 Protocol Measurement and Reproducibility -- 1.3 Clinical Application - Heart Rate Monitoring -- 1.4 Summary -- References -- Chapter 2 Adopting a Fusion Approach for Optical Amplification -- 2.1 Introduction -- 2.2 The Mechanism Involved -- 2.3 Types of Amplifier -- 2.3.1 Semiconductor Optical Amplifiers -- 2.3.1.1 Various Phases and Progress of SOA -- 2.3.2 Fiber Raman Amplifiers -- 2.3.3 Fiber Brillouin Amplifiers -- 2.3.4 Doped-Fiber Amplifiers -- 2.4 Hybrid Optical Amplifiers -- 2.4.1 EDFA and SOA Hybrid -- 2.4.2 EDFA and FRA Hybrid -- 2.4.3 RFA and SOA Hybrid -- 2.4.4 Combination of EYDWA as well as SOA -- 2.4.5 EDFA-EYCDFA Hybrid -- 2.4.6 TDFA Along with RFA Hybrid -- 2.4.7 EDFA and TDFA Hybrid -- 2.5 Applications -- 2.5.1 Telecom Infrastructure Optical Power Amplifier -- 2.6 Current Scenario -- 2.7 Discussion -- 2.8 Conclusions -- References -- Chapter 3 Optical Sensors -- 3.1 Introduction -- 3.2 Glass Fibers -- 3.3 Plastic Fibers -- 3.4 Optical Fiber Sensors Advantages Over Traditional Sensors -- 3.5 Fiber Optic Sensor Principles -- 3.6 Classification of Fiber Optic Sensors -- 3.6.1 Intrinsic Fiber Optic Sensor -- 3.6.2 Extrinsic Fiber Optic Sensor -- 3.6.3 Intensity-Modulated Sensors -- 3.6.3.1 Intensity Type Fiber Optic Sensor Using Evanescent Wave Coupling -- 3.6.3.2 Intensity Type Fiber Optic Sensor Using Microbend Sensor -- 3.6.4 Phase Modulated Fiber Optic Sensors -- 3.6.4.1 Fiber Optic Gyroscope -- 3.6.4.2 Fiber-Optic Current Sensor.
3.6.5 Polarization Modulated Fiber Optic Sensors -- 3.6.6 Physical Sensor -- 3.6.6.1 Temperature Sensors -- 3.6.6.2 Proximity Sensor -- 3.6.6.3 Depth/Pressure Sensor -- 3.6.7 Chemical Sensor -- 3.6.8 Bio-Medical Sensor -- 3.7 Optical Fiber Sensing Applications -- 3.7.1 Application in the Medicinal Field -- 3.7.2 Application in the Agriculture Field -- 3.7.3 Application in Civil Infrastructure -- 3.8 Conclusion -- References -- Chapter 4 Defective and Failure Sensor Detection and Removal in a Wireless Sensor Network -- 4.1 Introduction -- 4.2 Related Works -- 4.3 Proposed Detection and Elimination Approach -- 4.3.1 Scanning Algorithm for Cut Tracking (SCT) -- 4.3.2 Eliminate Faulty Sensor Algorithm (EFS) -- 4.4 Results and Discussion -- 4.5 Performance Evaluation -- 4.6 Conclusion -- References -- Chapter 5 Optical Fiber and Prime Optical Devices for Optical Communication -- 5.1 Introduction -- 5.2 Optic Fiber Systems Development -- 5.3 Optical Fiber Transmission Link -- 5.4 Optical Sources Suited for Optical Fiber Communication -- 5.5 LED as Optical Source -- 5.6 Laser as Light Source -- 5.7 Optical Fiber -- 5.8 Fiber Materials -- 5.9 Benefits of Optical Fiber -- 5.10 Drawbacks of Optical Fiber -- 5.11 Recent Advancements in Fiber Technology -- 5.12 Photodetector -- 5.13 Future of Optical Fiber Communication -- 5.14 Applications of Optical Fibers in the Industry -- 5.15 Conclusion -- References -- Chapter 6 Evaluation of Lower Layer Parameters in Body Area Networks -- 6.1 Introduction -- 6.2 Problem Definition -- 6.3 Baseline MAC in IEEE 802.15.6 -- 6.4 Ultra Wideband (UWB) PHY -- 6.5 Castalia -- 6.5.1 Features -- 6.6 Methodology -- 6.6.1 Simulation Method in Castalia -- 6.6.2 Hardware Methodology -- 6.7 Results and Discussion -- 6.8 Hardware Setup Using Bluetooth Module -- 6.9 Hardware Setup Using ESP 12-E -- 6.10 Conclusions -- References.
Chapter 7 Analyzing a Microstrip Antenna Sensor Design for Achieving Biocompatibity -- 7.1 Introduction -- 7.2 Designing of Biomedical Antenna -- 7.3 Sensing Device for Biomedical Application -- 7.4 Conclusion -- References -- Chapter 8 Photonic Crystal Based Routers for All Optical Communication Networks -- 8.1 Introduction -- 8.2 Photonic Crystals -- 8.2.1 1D Photonic Crystals -- 8.2.2 2D Photonic Crystals -- 8.2.3 3D Photonic Crystals -- 8.2.4 Photonic Bandgap -- 8.2.5 Applications -- 8.3 Routers -- 8.4 Micro Ring Resonators -- 8.5 Optical Routers -- 8.5.1 Routers Based on PCRR -- 8.5.2 N x N Router Structures -- 8.5.2.1 3 x 3 Router -- 8.5.2.2 4 x 4 Router -- 8.5.2.3 6 x 6 Router -- 8.5.3 Routers Based on PC Line Defect -- 8.6 Summary -- References -- Chapter 9 Fiber Optic Communication: Evolution, Technology, Recent Developments, and Future Trends -- 9.1 Introduction -- 9.2 Basic Principles -- 9.3 Future Trends in Fiber Optics Communication -- 9.4 Advantages -- 9.5 Conclusion -- References -- Chapter 10 Difficulties of Fiber Optic Setup and Maintenance in a Developing Nation -- 10.1 Introduction -- 10.2 Related Works -- 10.3 Fiber Optic Cable -- 10.3.1 Single-Mode Cable -- 10.3.2 Multimode Cable -- 10.3.2.1 Step-Index Multimode Fiber -- 10.3.2.2 Graded-Index Multimode Fiber -- 10.3.3 Deployed Fiber Optics Cable -- 10.4 Fiber Optics Cable Deployment Strategies -- 10.4.1 Aerial Installation -- 10.4.2 Underground Installation -- 10.4.2.1 Direct-Buried -- 10.4.2.2 Installation in Duct -- 10.5 Deployment of Fiber Optics Throughout the World -- 10.5.1 Fiber Optics Deployment in India -- 10.5.2 Submarine Fiber Optic in India -- 10.5.3 Installation of Fiber Optic Cable in the Inland -- 10.6 Fiber Deployment Challenges -- 10.6.1 Deploying Fiber has a Number of Technical Difficulties -- 10.6.2 Right of Way -- 10.6.3 Administrative Challenges.
10.6.4 Post-Fiber Deployment Management -- 10.6.5 Fiber Optic Cable Deployment and Management Standards and Best Practices -- 10.7 Conclusion -- References -- Chapter 11 Machine Learning-Enabled Flexible Optical Transport Networks -- 11.1 Introduction -- 11.2 Review of SDM-EON Physical Models -- 11.2.1 Optical Fibers for SDM-EON -- 11.2.2 Switching Techniques for SDM-EON -- 11.3 Review of SDM-EON Resource Assignment Techniques -- 11.4 Research Challenges in SDM-EONs -- 11.5 Conclusion -- References -- Chapter 12 Role of Wavelength Division Multiplexing in Optical Communication -- 12.1 Introduction -- 12.2 Modules of an Optical Communication System -- 12.2.1 How a Fiber Optic Communication Works? -- 12.2.2 Codes of Fiber Optic Communication System -- 12.2.2.1 Dense Light Source -- 12.2.2.2 Low Loss Optical Fiber -- 12.2.3 Photo Detectors -- 12.3 Wavelength-Division Multiplexing (WDM) -- 12.3.1 Transceivers - Transmitting Data as Light -- 12.3.2 Multiplexers Enhancing the Use of Fiber Channels -- 12.3.3 Categories of WDM -- 12.4 Modulation Formats in WDM Systems -- 12.4.1 Optical Modulator -- 12.4.1.1 Direct Modulation -- 12.4.1.2 External Modulation -- 12.4.2 Modulation Formats -- 12.4.2.1 Non Return to Zero (NRZ) -- 12.4.2.2 Return to Zero (RZ) -- 12.4.2.3 Chirped RZ (CRZ) -- 12.4.2.4 Carrier Suppressed RZ (CSRZ) -- 12.4.2.5 Differential Phase Shift Key (DPSK) -- 12.4.3 Uses of Wavelength Division Multiplexing -- References -- Chapter 13 Optical Ultra-Sensitive Nanoscale Biosensor Design for Water Analysis -- 13.1 Introduction -- 13.2 Related Work or Literature Survey -- 13.2.1 B. Cereus Spores' Study for Water Quality -- 13.2.2 History Use of Optical Property for Biosensing -- 13.2.3 Photonic Crystal -- 13.3 Tools and Techniques -- 13.3.1 Opti FDTD -- 13.3.2 EM Wave Equation -- 13.3.3 Optical Ring Resonator -- 13.3.4 Output Power Computation.
13.4 Proposed Design -- 13.4.1 Circular Resonator PHC Biosensor -- 13.4.2 Triangular Structure PHC Biosensor -- 13.5 Simulation -- 13.6 Result and Analysis -- 13.7 Conclusion and Future Scope -- References -- Chapter 14 A Study on Connected Cars-V2V Communication -- 14.1 Introduction -- 14.2 Literature Survey -- 14.3 Software Description -- 14.4 Methodology -- 14.5 Working -- 14.6 Advantages and Applications -- 14.7 Conclusion and Future Scope -- Future Scope -- References -- Chapter 15 Broadband Wireless Network Era in Wireless Communication - Routing Theory and Practices -- 15.1 Introduction -- 15.2 Outline of Broadband Wireless Networking -- 15.2.1 Type of Broadband Wireless Networks -- 15.2.1.1 Fixed Networks -- 15.2.1.2 The Broadband Mobile Wireless Networks -- 15.2.2 BWN Network Structure -- 15.2.3 Wireless Broadband Applications -- 15.2.4 Promising Approaches Beyond BWN -- 15.3 Routing Mechanisms -- 15.4 Security Issues and Mechanisms in BWN -- 15.4.1 DoS Attack -- 15.4.2 Distributed Flooding DoS -- 15.4.3 Rogue and Selfish Backbone Devices -- 15.4.4 Authorization Flooding on Backbone Devices -- 15.4.5 Node Deprivation Attack -- 15.5 Conclusion -- References -- Chapter 16 Recent Trends in Optical Communication, Challenges and Opportunities -- 16.1 Introduction -- 16.2 Optical Fiber Communication -- 16.3 Applications of Optical Communication -- 16.4 Various Sectors of Optical Communication -- 16.5 Conclusion -- References -- Chapter 17 Photonic Communication Systems and Networks -- 17.1 Introduction -- 17.2 History of LiFi -- 17.3 LiFi Standards -- 17.4 Related Work -- 17.5 Methodology -- 17.6 Proposed Model -- 17.7 Experiment and Results -- 17.8 Applications -- 17.9 Conclusion -- Acknowledgment -- References -- Chapter 18 RSA-Based Encryption Approach for Preserving Confidentiality Against Factorization Attacks -- 18.1 Introduction.
18.2 Related Work.
Record Nr. UNINA-9910830253803321
Hoboken, NJ : , : John Wiley & Sons, Inc., and Scrivener Publishing LLC, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Optimization techniques in engineering : advances and applications / / edited by Anita Khosla [and three others]
Optimization techniques in engineering : advances and applications / / edited by Anita Khosla [and three others]
Pubbl/distr/stampa Hoboken, NJ : , : John Wiley & Sons, Inc., and Scrivener Publishing LLC, , [2023]
Descrizione fisica 1 online resource (543 pages)
Disciplina 620.0015118
Collana Sustainable Computing and Optimization Series
Soggetto topico Engineering - Mathematical models
ISBN 1-119-90639-3
1-119-90638-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgment -- Part 1: Soft Computing and Evolutionary-Based Optimization -- Chapter 1 Improved Grey Wolf Optimizer with Levy Flight to Solve Dynamic Economic Dispatch Problem with Electric Vehicle Profiles -- 1.1 Introduction -- 1.2 Problem Formulation -- 1.2.1 Power Output Limits -- 1.2.2 Power Balance Limits -- 1.2.3 Ramp Rate Limits -- 1.2.4 Electric Vehicles -- 1.3 Proposed Algorithm -- 1.3.1 Overview of Grey Wolf Optimizer -- 1.3.2 Improved Grey Wolf Optimizer with Levy Flight -- 1.3.3 Modeling of Prey Position with Levy Flight Distribution -- 1.4 Simulation and Results -- 1.4.1 Performance of Improved GWOLF on Benchmark Functions -- 1.4.2 Performance of Improved GWOLF for Solving DED for the Different Charging Probability Distribution -- 1.5 Conclusion -- References -- Chapter 2 Comparison of YOLO and Faster R-CNN on Garbage Detection -- 2.1 Introduction -- 2.2 Garbage Detection -- 2.2.1 Transfer Learning-Technique -- 2.2.2 Inception-Custom Model -- 2.3 Experimental Results -- 2.3.1 Results Obtained Using YOLO Algorithm -- 2.3.2 Results Obtained Using Faster R-CNN -- 2.4 Future Scope -- 2.5 Conclusion -- References -- Chapter 3 Smart Power Factor Correction and Energy Monitoring System -- 3.1 Introduction -- 3.2 Block Diagram -- 3.2.1 Power Factor Concept -- 3.2.2 Power Factor Calculation -- 3.3 Simulation -- 3.4 Conclusion -- References -- Chapter 4 ANN-Based Maximum Power Point Tracking Control Configured Boost Converter for Electric Vehicle Applications -- 4.1 Introduction -- 4.2 Block Diagram -- 4.3 ANN-Based MPPT for Boost Converter -- 4.4 Closed Loop Control -- 4.5 Simulation Results -- 4.6 Conclusion -- References -- Chapter 5 Single/Multijunction Solar Cell Model Incorporating Maximum Power Point Tracking Scheme Based on Fuzzy Logic Algorithm -- 5.1 Introduction.
5.2 Modeling Structure -- 5.2.1 Single-Junction Solar Cell Model -- 5.2.2 Modeling of Multijunction Solar PV Cell -- 5.3 MPPT Design Techniques -- 5.3.1 Design of MPPT Scheme Based on P& -- O Technique -- 5.3.2 Design of MPPT Scheme Based on FLA -- 5.4 Results and Discussions -- 5.4.1 Single-Junction Solar Cell -- 5.4.2 Multijunction Solar PV Cell -- 5.4.3 Implementation of MPPT Scheme Based on P& -- O Technique -- 5.4.4 Implementation of MPPT Scheme Based on FLA -- 5.5 Conclusion -- References -- Chapter 6 Particle Swarm Optimization: An Overview, Advancements and Hybridization -- 6.1 Introduction -- 6.2 The Particle Swarm Optimization: An Overview -- 6.3 PSO Algorithms and Pseudo-Code -- 6.3.1 PSO Algorithm -- 6.3.2 Pseudo-Code for PSO -- 6.3.3 PSO Limitations -- 6.4 Advancements in PSO and Its Perspectives -- 6.4.1 Inertia Weight -- 6.4.2 Constriction Factors -- 6.4.3 Topologies -- 6.4.4 Analysis of Convergence -- 6.5 Hybridization of PSO -- 6.5.1 PSO Hybridization with Artificial Bee Colony (ABC) -- 6.5.2 PSO Hybridization with Ant Colony Optimization (ACO) -- 6.5.3 PSO Hybridization with Genetic Algorithms (GA) -- 6.6 Area of Applications of PSO -- 6.7 Conclusions -- References -- Chapter 7 Application of Genetic Algorithm in Sensor Networks and Smart Grid -- 7.1 Introduction -- 7.2 Communication Sector -- 7.2.1 Sensor Networks -- 7.3 Electrical Sector -- 7.3.1 Smart Microgrid -- 7.4 A Brief Outline of GAs -- 7.5 Sensor Network's Energy Optimization -- 7.6 Sensor Network's Coverage and Uniformity Optimization Using GA -- 7.7 Use GA for Optimization of Reliability and Availability for Smart Microgrid -- 7.8 GA Versus Traditional Methods -- 7.9 Summaries and Conclusions -- References -- Chapter 8 AI-Based Predictive Modeling of Delamination Factor for Carbon Fiber-Reinforced Polymer (CFRP) Drilling Process -- 8.1 Introduction.
8.2 Methodology -- 8.3 AI-Based Predictive Modeling -- 8.3.1 Linear Regression -- 8.3.2 Random Forests -- 8.3.3 XGBoost -- 8.3.4 SVM -- 8.4 Performance Indices -- 8.4.1 Root Mean Squared Error (RMSE) -- 8.4.2 Mean Squared Error (MSE) -- 8.4.3 R2 (R-Squared) -- 8.5 Results and Discussion -- 8.5.1 Key Performance Metrics (KPIs) During the Model Training Phase -- 8.5.2 Key Performance Index Metrics (KPIs) During the Model Testing Phase -- 8.5.3 K Cross Fold Validation -- 8.6 Conclusions -- References -- Chapter 9 Performance Comparison of Differential Evolutionary Algorithm-Based Contour Detection to Monocular Depth Estimation for Elevation Classification in 2D Drone-Based Imagery -- 9.1 Introduction -- 9.2 Literature Survey -- 9.3 Research Methodology -- 9.3.1 Dataset and Metrics -- 9.4 Result and Discussion -- 9.5 Conclusion -- References -- Chapter 10 Bioinspired MOPSO-Based Power Allocation for Energy Efficiency and Spectral Efficiency Trade-Off in Downlink NOMA -- 10.1 Introduction -- 10.2 System Model -- 10.3 User Clustering -- 10.4 Optimal Power Allocation for EE-SE Tradeoff -- 10.4.1 Multiobjective Optimization Problem -- 10.4.2 Multiobjective PSO -- 10.4.3 MOPSO Algorithm for EE-SE Trade-Off in Downlink NOMA -- 10.5 Numerical Results -- 10.6 Conclusion -- References -- Chapter 11 Performances of Machine Learning Models and Featurization Techniques on Amazon Fine Food Reviews -- 11.1 Introduction -- 11.1.1 Related Work -- 11.2 Materials and Methods -- 11.2.1 Data Cleaning and Pre-Processing -- 11.2.2 Feature Extraction -- 11.2.3 Classifiers -- 11.3 Results and Experiments -- 11.4 Conclusion -- References -- Chapter 12 Optimization of Cutting Parameters for Turning by Using Genetic Algorithm -- 12.1 Introduction -- 12.2 Genetic Algorithm GA: An Evolutionary Computational Technique -- 12.3 Design of Multiobjective Optimization Problem.
12.3.1 Decision Variables -- 12.3.2 Objective Functions -- 12.3.3 Bounds of Decision Variables -- 12.3.4 Response Variables -- 12.4 Results and Discussions -- 12.4.1 Single Objective Optimization -- 12.4.2 Results of Multiobjective Optimization -- 12.5 Conclusion -- References -- Chapter 13 Genetic Algorithm-Based Optimization for Speech Processing Applications -- 13.1 Introduction to GA -- 13.1.1 Enhanced GA -- 13.2 GA in Automatic Speech Recognition -- 13.2.1 GA for Optimizing Off-Line Parameters in Voice Activity Detection (VAD) -- 13.2.2 Classification of Features in ASR Using GA -- 13.2.3 GA-Based Distinctive Phonetic Features Recognition -- 13.2.4 GA in Phonetic Decoding -- 13.3 Genetic Algorithm in Speech Emotion Recognition -- 13.3.1 Speech Emotion Recognition -- 13.3.2 Genetic Algorithms in Speech Emotion Recognition -- 13.4 Genetic Programming in Hate Speech Using Deep Learning -- 13.4.1 Introduction to Hate Speech Detection -- 13.4.2 GA Integrated With Deep Learning Models for Hate Speech Detection -- 13.5 Conclusion -- References -- Chapter 14 Performance of P, PI, PID, and NARMA Controllers in the Load Frequency Control of a Single-Area Thermal Power Plant -- 14.1 Introduction -- 14.2 Single-Area Power System -- 14.3 Automatic Load Frequency Control (ALFC) -- 14.4 Controllers Used in the Simulink Model -- 14.4.1 PID Controller -- 14.4.2 PI Controller -- 14.4.3 P Controller -- 14.5 Circuit Description -- 14.6 ANN and NARMA L2 Controller -- 14.7 Simulation Results and Comparative Analysis -- 14.8 Conclusion -- References -- Part 2: Decision Science and Simulation-Based Optimization -- Chapter 15 Selection of Nonpowered Industrial Truck for Small Scale Manufacturing Industry Using Fuzzy VIKOR Method Under FMCDM Environment -- 15.1 Introduction -- 15.2 Fuzzy Set Theory -- 15.2.1 Some Important Fuzzy Definitions -- 15.2.2 Fuzzy Operations.
15.2.3 Linguistic Variable (LV) -- 15.3 FVIKOR -- 15.4 Problem Definition -- 15.5 Results and Discussions -- 15.6 Conclusions -- References -- Chapter 16 Slightly and Almost Neutrosophic gsα*-Continuous Function in Neutrosophic Topological Spaces -- 16.1 Introduction -- 16.2 Preliminaries -- 16.3 Slightly Neutrosophic gsα* - Continuous Function -- 16.4 Almost Neutrosophic gsα* - Continuous Function -- 16.5 Conclusion -- References -- Chapter 17 Identification and Prioritization of Risk Factors Affecting the Mental Health of Farmers -- 17.1 Introduction -- 17.2 Materials and Methods -- 17.2.1 ELECTRE Technique -- 17.3 Result and Discussion -- 17.4 Conclusion -- References -- Chapter 18 Multiple Objective and Subjective Criteria Evaluation Technique (MOSCET): An Application to Material Handling System Selection -- 18.1 Introduction -- 18.2 Multiple Objective and Subjective Criteria Evaluation Technique (MOSCET): The Proposed Algorithm -- 18.3 Illustrative Example -- 18.3.1 Problem Definition -- 18.3.2 Calculation and Discussions -- 18.4 Conclusions -- References -- Chapter 19 Evaluation of Optimal Parameters to Enhance Worker's Performance in an Automotive Industry -- 19.1 Introduction -- 19.2 Methodology -- 19.3 Results and Discussion -- 19.4 Conclusions -- References -- Chapter 20 Determining Key Influential Factors of Rural Tourism-An AHP Model -- 20.1 Introduction -- 20.2 Rural Tourism -- 20.3 Literature Review -- 20.4 Objectives -- 20.5 Methodology -- 20.6 Analysis -- 20.7 Results and Discussion -- 20.8 Conclusions -- 20.9 Managerial Implications -- References -- Chapter 21 Solution of a Pollution-Based Economic Order Quantity Model Under Triangular Dense Fuzzy Environment -- 21.1 Introduction -- 21.1.1 Overview -- 21.1.2 Motivation and Specific Study -- 21.2 Preliminaries -- 21.2.1 Pollution Function -- 21.2.2 Triangular Dense Fuzzy Set (TDFS).
21.3 Notations and Assumptions.
Record Nr. UNINA-9910830854903321
Hoboken, NJ : , : John Wiley & Sons, Inc., and Scrivener Publishing LLC, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
RF Circuits for 5G Applications : Designing with MmWave Circuitry / / edited by Sangeeta Singh [and three others]
RF Circuits for 5G Applications : Designing with MmWave Circuitry / / edited by Sangeeta Singh [and three others]
Pubbl/distr/stampa Hoboken, NJ : , : John Wiley & Sons, Inc., and Scrivener Publishing LLC, , [2023]
Descrizione fisica 1 online resource (340 pages)
Disciplina 621.38412
Soggetto topico Radio frequency integrated circuits
5G mobile communication systems
ISBN 1-119-79294-0
1-119-79293-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Part I: 5G Communication -- Chapter 1 Needs and Challenges of the 5th Generation Communication Network -- 1.1 Introduction -- 1.1.1 What is 5G and Do We Need 5G? -- 1.1.2 A Brief History of Gs -- 1.2 mmWave Spectrum, Challenges, and Opportunities -- 1.3 Framework Level Requirements for mmWave Wireless Links -- 1.4 Circuit Aspects -- 1.5 Outline of the Book -- Acknowledgement -- References -- Chapter 2 5G Circuits from Requirements to System Models and Analysis -- 2.1 RF Requirements Governed by 5G System Targets -- 2.2 Radio Spectrum and Standardization -- 2.3 System Scalability -- 2.4 Communication System Model for RF System Analysis -- 2.5 System-Level RF Performance Model -- 2.5.1 Transmitter, Receiver, Antenna Array and Transceiver Architectures for RF and Hybrid Beamforming -- 2.6 Radio Propagation and Link Budget -- 2.6.1 Radio Propagation Model -- 2.6.2 Link Budgeting -- 2.7 Multiuser Multibeam Analysis -- 2.8 Conclusion -- Acknowledgement -- References -- Chapter 3 Millimetre-Wave Beam-Space MIMO System for 5G Applications -- 3.1 Introduction -- 3.2 Beam-Space Massive MIMO System -- 3.2.1 System Model -- 3.2.2 Saleh-Valenzuela Channel Model -- 3.3 Array Response Vector -- 3.3.1 mmWave Beam-Space Massive (mWBSM)-MIMO System -- 3.4 Discrete Lens Antenna Array -- 3.5 Beam Selection Algorithm -- 3.6 Mean Sum Assignment-Based Beam User Association -- 3.6.1 Performance Evaluation -- 3.7 Conclusion -- References -- Part II: Oscillator & -- Amplifier -- Chapter 4 Gain-Bandwidth Enhancement Techniques for mmWave Fully-Integrated Amplifiers -- 4.1 RLC Tank -- 4.1.1 RC Low-Pass (LP) Filter -- 4.1.2 RLC Band-Pass (BP) Filter -- 4.2 Coupled Resonators -- 4.2.1 Bode-Fano (B-F) Limit -- 4.2.2 Capacitively Coupled Resonators -- 4.2.3 Inductively Coupled Resonators.
4.2.4 Magnetically Coupled Resonators -- 4.2.5 Magnetically and Capacitive Coupled Resonator -- 4.2.6 Coupled Resonators Comparison -- 4.3 Resonators Based on the Transformers -- 4.3.1 On the Parasitic Interwinding Capacitance -- 4.3.2 Effect of Unbalanced Capacitive Terminations -- 4.3.3 Frequency Response Equalization -- 4.3.4 On the Parasitic Magnetic Coupling in Multistage Amplifiers -- 4.3.5 Extension to Impedance Transformation -- 4.3.6 On the kQ Product -- 4.3.7 Transformer-Based Power Dividers (PDs) -- 4.3.8 Transformer-Based Power Combiners (PCs) -- 4.4 Conclusion -- Acknowledgments -- References -- Chapter 5 Low-Noise Amplifiers -- 5.1 Introduction -- 5.2 Basics of RFIC -- 5.2.1 Voltage Gain in dB -- 5.2.2 Power Gain in dB -- 5.2.3 Issues in RF Design -- 5.3 Structure of MOSFET -- 5.4 Bandwidth Estimation Techniques -- 5.5 Noise -- 5.5.1 Noise in MOSFET -- 5.6 Different Topologies of LNA -- Conclusion -- Acknowledgement -- References -- Chapter 6 Mixer Design -- 6.1 Introduction -- 6.2 Properties -- 6.3 Diode Mixer -- 6.4 Transistor Mixer -- 6.5 Conclusion -- Acknowledgement -- References -- Chapter 7 RF LC VCOs Designing -- 7.1 Introduction -- 7.1.1 Basic VCO Models -- 7.1.2 Phase Noise -- 7.1.3 Flicker Noise -- 7.1.4 Distributed Oscillators -- 7.2 Tuning Extension Techniques -- 7.2.1 Varactor -- 7.2.2 Switched Capacitors -- 7.2.3 Switched Inductors -- 7.2.4 Switched TLs -- 7.2.5 4th Order Tanks and Other Techniques -- 7.3 Conclusion -- Acknowledgement -- References -- Chapter 8 RF Power Amplifiers -- 8.1 Specification -- 8.1.1 Efficiency -- 8.1.2 Generic Amplifier Classes -- 8.1.3 Heating -- 8.1.4 Linearity -- 8.1.5 Ruggedness -- 8.2 Bipolar PA Design -- 8.3 CMOS Power Amplifier Design -- 8.3.1 Performance Parameters -- 8.3.1.1 Linearity -- 8.3.1.2 Gain -- 8.3.1.3 Efficiency -- 8.3.1.4 Output Power -- 8.3.1.5 Power Consumption.
8.3.2 Drawbacks of CMOS Power Amplifier -- 8.3.3 Design of CMOS Power Amplifier -- 8.3.3.1 Common Cascode PA Design -- 8.3.3.2 Self-Bias Cascode PA Design -- 8.3.3.3 Differential Cascode PA Design -- 8.3.3.4 Power Combining PA Design -- 8.4 Linearization Principles: Predistortion Technique, Phase-Correcting Feedback, Envelope Elimination and Restoration (EER), Cartesian Feedback -- 8.4.1 Predistortion Linearization Technique -- 8.4.2 Phase Correcting Feedback Technique -- 8.4.3 Cartesian Feedback Technique -- 8.4.4 Envelope Elimination and Restoration Technique -- Acknowledgement -- References -- Chapter 9 RF Oscillators -- 9.1 Introduction -- 9.2 Specifications -- 9.2.1 Frequency and Tuning -- 9.2.2 Tuning Constant and Linearity -- 9.2.3 Power Dissipation -- 9.2.4 Phase to Noise Ratio -- 9.2.5 Reciprocal Mixing -- 9.2.6 Signal to Noise Degradation of FM Signals Spurious Emission -- 9.2.7 Harmonics, I/Q Matching, Technology and Chip Area -- 9.3 LC Oscillators -- 9.3.1 Frequency, Tuning and Phase Noise Frequency Tuning Phase Noise to Carrier Ratio -- 9.3.2 Topologies -- 9.3.3 NMOS Only Cross-Coupled Structure -- 9.3.4 RC Oscillators -- 9.4 Design Examples -- 9.4.1 830 MHz Monolithic LC Oscillator Circuit Design Measurements -- 9.4.2 A 10 GHz I/Q RC Oscillator with Active Inductors -- 9.5 Conclusion -- Acknowledgement -- References -- Part III: RF Circuit Applications -- Chapter 10 mmWave Highly-Linear Broadband Power Amplifiers -- 10.1 Basics of PAs -- 10.1.1 Single Transistor Amplifier -- 10.1.2 Trade-Offs Among Power Amplifier Design Parameters (P0, PAE and Linearity) -- 10.1.3 Harmonic Terminations and Switching Amplifiers -- 10.1.4 Challenges at Millimeter-Wave -- 10.2 Millimeter Wave-Based AB Class PA -- 10.2.1 Efficiency at Power Back-Off -- 10.2.2 Sources of AM-PM Distortion -- 10.2.3 Distortion Cancellation Techniques.
10.2.3.1 Input PMOS Varactors -- 10.2.3.2 Complementary N-PMOS Amplifier -- 10.2.3.3 Degeneration Inductance -- 10.2.3.4 Harmonic Traps -- 10.3 Design Example: A Highly Linear Wideband PA in 28 nm CMOS -- 10.3.1 Transformer-Based Output Combiner and Inter-Stage Power Divider -- 10.3.2 More on the kQ Product -- 10.4 Conclusion -- Acknowledgments -- References -- Chapter 11 FinFET Process Technology for RF and Millimeter Wave Applications -- 11.1 Evaluation of FinFET Technology -- 11.1.1 Steps of Fabrication and Process Flow of FinFET Technology -- 11.1.2 Digital Performance -- 11.1.3 Analog/RF Performance -- 11.2 Distinct Properties of FinFET -- 11.2.1 Performance with Transistor Scaling -- 11.2.2 Nonlinear Gate Resistance by Three Dimensional Structure -- 11.2.3 Self-Heating Effect in FinFETs -- 11.3 Assessment of FinFET Technology for RF/mmWave Applications -- 11.3.1 RF Performance -- 13.3.1.1 Parasitic Extraction -- 11.3.2 Noise Performance -- 11.3.3 Noise Matching with Gain at the mmWave Frequency -- 11.4 Design Process of FinFET for RF/mmWave Performance Optimization -- 11.4.1 Cascaded Chain Design Consideration for Wireless System -- 11.4.2 Optimization of Noise Figure with Gmax for LNA Within Self-Heat Limit -- 11.4.3 Gain Per Power Efficiency -- 11.4.4 Linearity for Gain and Power Efficiency -- 11.4.5 Neutralization for mmWave Applications -- References -- Chapter 12 Pre-Distortion: An Effective Solution for Power Amplifier Linearization -- 12.1 Introduction -- 12.2 Standard Measures of Nonlinearity of Power Amplifier -- 12.2.1 Gain Compression Point (1 dB) -- 12.2.2 Harmonic and Intermodulation Distortion (IMD) -- 12.2.3 Third-Order Intercept Point (TOI) -- 12.2.4 AM/AM and AM/PM Distortion -- 12.2.5 Adjacent Channel Power Ratio (ACPR) -- 12.2.6 Error Vector Magnitude (EVM) -- 12.3 What is Linearization? -- 12.3.1 Feed Forward Linearization.
12.3.2 Feedback Linearization -- 12.3.3 Pre-Distortion Linearization -- 12.4 Example of Analog Pre-Distortion-Based Class EFJ Power Amplifier -- Conclusion and Future Scope -- References -- Chapter 13 Design of Control Circuit for Mitigation of Shadow Effect in Solar Photovoltaic System -- 13.1 Introduction -- 13.2 Proposed Methodology -- 13.3 Results and Discussion -- 13.4 Conclusion -- Acknowledgement -- References -- Part IV: RF Circuit Modeling -- Chapter 14 HBT High-Frequency Modeling and Integrated Parameter Extraction -- 14.1 HBT High-Frequency Modeling and Integrated Parameter Extraction -- 14.2 High-Frequency HBT Modeling -- 14.2.1 DC and Small Signal Models -- 14.2.2 Linearized T-Model -- 14.2.3 Linearized Hybrid ð model -- 14.3 Integrated Parameters Extraction -- 14.3.1 Formulation of Integrated Parameter Extraction -- 14.3.2 Optimization of Model -- 14.4 Noise Model Validation -- 14.5 Parameters Extraction of an HBT Model -- Acknowledgement -- References -- Chapter 15 Non-Linear Microwave Circuit Design Using Multi-Harmonic Load-Pull Simulation Technique -- 15.1 Introduction -- 15.2 Multi-Harmonic Load-Pull Simulation Using Harmonic Balance -- 15.2.1 Formulation of Multi-Harmonic Load-Pull Simulation -- 15.2.2 Systematic Design Procedure -- 15.3 Application of Multiharmonic Load-Pull Simulation -- 15.3.1 Narrowband Power Amplifier Design -- 15.3.2 Frequency Doubler Design -- References -- Chapter 16 Microwave RF Designing Concepts and Technology -- 16.1 Introduction -- 16.1.1 Gain -- 16.1.2 Noise -- 16.1.3 Non Linearity -- 16.1.4 Sensitivity -- 16.2 Microwave RF Device Technology and Characterization -- 16.2.1 Characterization and Modeling -- 16.2.2 Modeling -- 16.2.3 Cut-Off Frequency -- 16.2.4 Maximum Oscillation Frequency -- 16.2.5 Input Limited Frequency -- 16.2.6 Output Limited Frequency -- 16.2.7 Maximum Available Frequency.
16.2.8 Technology Choices.
Record Nr. UNINA-9910830172503321
Hoboken, NJ : , : John Wiley & Sons, Inc., and Scrivener Publishing LLC, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui