Tabla de Contenidos: “…PIB et IDE par tête, 1997 -- Structure territoriale de la recherche-développement -- Graphique 10. Dépenses de R-D en pourcentage du PIB, 1997 -- Principales conséquences des évolutions économiques sur la cohésion sociale -- Indicateur du développement humain et pauvreté urbaine et rurale -- Tableau 2. …”

Tabla de Contenidos: “…. -- Le soutien apporté à l'agriculture dans la région de l'OCDE a diminué dans son ensemble mais il r... -- 4. Évolutions dans plusieurs domaines de l'action gouvernementale -- Sécurité des aliments et questions connexes -- Les systèmes de sécurité des aliments continuent d'évoluer -- Encadré I.4. …”

Tabla de Contenidos: “…Stock de capital -- Graphique 15. Dépenses de R-D -- Mais le débat sur la « nouvelle économie » n'est pas encore terminé -- Des signes prometteurs se font jour, mais il est nécessaire de progresser davantage pour remédier... -- Le marché du travail -- La performance à la fin des années 90 a été bonne, mais des préoccupations demeurent -- Graphique 16. …”

Tabla de Contenidos: “…Nombre d'élèves par enseignant -- Améliorer le cadre de la recherche-développement -- Tableau 42. Dépenses de R-D -- Favoriser le dynamisme du secteur des petites et moyennes entreprises et des jeunes entreprises à risque -- Tableau 43. …”

Tabla de Contenidos: “…Preface xiii -- Organization of the Book xv -- 1 Fuzzy/Intuitionistic Fuzzy Set Theory 1 -- 1.1 Introduction to Fuzzy Set 1 -- 1.2 Mathematical Representation of Fuzzy Sets 3 -- 1.3 Membership Function 6 -- 1.4 Fuzzy Relations 10 -- 1.5 Projection 13 -- 1.6 Composition of Fuzzy Relation 14 -- 1.7 Fuzzy Binary Relation 19 -- 1.8 Transitive Closure of Fuzzy Binary Relation 21 -- 1.9 Fuzzy Equivalence Relation 23 -- 1.10 Intuitionistic Fuzzy Set 24 -- 1.11 Construction of Intuitionistic Fuzzy Set 26 -- 1.12 Intuitionistic Fuzzy Relations 29 -- 1.13 Composition of Intuitionistic Fuzzy Relation 31 -- 1.13.1 Composition of IFR Using T-norms and T-conorms 32 -- 1.14 Intuitionistic Fuzzy Binary Relation 34 -- 1.14.1 Reflexive Property 34 -- 1.14.2 Symmetric Property 37 -- 1.14.3 Transitive Property 38 -- 1.15 Summary 39 -- References 39 -- 2 Playing with Fuzzy/Intuitionistic Fuzzy Numbers 41 -- 2.1 Introduction 41 -- 2.2 Fuzzy Numbers 41 -- 2.3 Fuzzy Intervals 42 -- 2.4 Zadeh́Ös Extension Principle 43 -- 2.4.1 Extension Principle for Two Variables 44 -- 2.5 Fuzzy Numbers with α-Levels 48 -- 2.6 Operations on Fuzzy Numbers with Intervals 52 -- 2.7 Operations with Fuzzy Numbers based on α-Levels 54 -- 2.8 Operations on Fuzzy Numbers Using Extension Principle 62 -- 2.8.1 Operations 63 -- 2.8.2 Examples on Operations of Fuzzy Numbers Using Extension Principle 64 -- 2.9 L-R Representation of Fuzzy Numbers 66 -- 2.10 Intuitionistic Fuzzy Numbers 73 -- 2.11 Triangular Intuitionistic Fuzzy Number 74 -- 2.12 Operations Using Triangular Intuitionistic Fuzzy Numbers 75 -- 2.13 Trapezoidal Intuitionistic Fuzzy Numbers 77 -- 2.14 Cut Set of Intuitionistic Fuzzy Number 78 -- 2.15 Distances Between Two Intuitionistic Fuzzy Numbers 80 -- 2.16 Summary 80 -- References 80 -- 3 Similarity Measures and Measures of Fuzziness 83 -- 3.1 Introduction 83 -- 3.2 Distance and Similarity Measures 83 -- 3.2.1 Distance Measure 84 -- 3.2.2 Similarity Measure 84 -- 3.3 Types of Distance Measure Between Fuzzy Sets 84.…”

Tabla de Contenidos: “…9.3.1 Domain Specification -- 9.3.1.1 Establishing the Context and Risk Identification -- 9.3.1.2 Risk Analysis: Likelihoods and Consequences of Energy Security Risks -- 9.3.1.3 Likelihoods of Energy Security Risks -- 9.3.1.4 Consequences of Energy Security Risks -- 9.3.1.5 Risk Evaluation: Strategies to Enhance Energy Security -- 9.3.1.6 Risk Treatment and Coherence With Other Energy Policy Objectives -- 9.4 GOVERNANCE OF SYSTEMIC RISKS -- 9.4.1 Different Modes Have Different Temporalities -- 9.4.2 Different Modes Have Different Spatial Jurisdictions -- 9.4.3 Focus on Services Helps -- 9.5 CONCLUSION -- REFERENCES -- 10 - Towards a Low-Carbon, Citizens-Driven Europe's Energy Security Agenda -- 10.1 REFRAMING THE DOMINANT DISCOURSE ON ENERGY SECURITY IN EUROPE -- 10.2 THE RISE OF THE HUMAN FACTOR -- 10.3 SOME MAJOR RECOMMENDATIONS FOR IMPROVING EUROPEAN ENERGY POLICIES -- ACKNOWLEDGEMENTS -- REFERENCES -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- K -- L -- M -- N -- O -- P -- R -- S -- T -- U -- V -- W -- Back Cover…”

Tabla de Contenidos: “…-- 4.1.4 What Happens If One Incorrectly Applies Differencing d+r Times to an I(d) Series? -- 4.2 The Spurious Regression Problem -- 4.3 Unit Root Tests -- 4.3.1 Classical Dickey-Fuller Tests -- 4.3.2 The Augmented Dickey-Fuller Test -- 4.3.3 Other Unit Root Tests…”

Tabla de Contenidos: “…7.4 Simulation Principles -- 7.4.1 Model Development -- 7.5 Results and Analysis -- 7.6 Conclusions -- References -- 8 Residential Building Wall Systems: Energy Efficiency and Carbon Footprint -- 8.1 Introduction -- 8.1.1 Thermal Comfort -- 8.1.2 Thermal Insulation -- 8.1.3 Lag Time -- 8.1.4 R-Value -- 8.1.5 Thermal Masses -- 8.2 Design Patterns of Australian Houses -- 8.2.1 Timber Weatherboard House -- 8.2.2 Fibro Cement Weatherboard House -- 8.2.3 Double Brick Veneer House -- 8.2.4 Single Brick Veneer House (Conventional House) -- 8.3 House Wall Systems -- 8.3.1 House Wall Configuration -- 8.3.2 Conventional House Wall -- 8.4 Energy Star Rating and Thermal Performance Modeling Tools -- 8.5 Results -- 8.5.1 Conventional House Wall (Benchmark) -- 8.5.2 New House Wall -- 8.5.3 Inner and Outer Insulation Positions -- 8.6 Discussion -- 8.6.1 Industrial Implications -- 8.7 Concluding Remarks -- References -- 9 Cement Kiln Process Modeling to Achieve Energy Efficiency by Utilizing Agricultural Biomass as Alternative Fuels -- 9.1 Introduction -- 9.2 Cement Manufacturing Process -- 9.2.1 Kiln -- 9.3 Alternative Fuels -- 9.4 Agricultural Biomass -- 9.4.1 Agricultural Biomasses in Australia -- 9.4.2 Selection of Agricultural Biomass -- 9.4.3 Chemical Composition of Alternative Fuels -- 9.5 Model Development and Validation -- 9.5.1 Model Principle -- 9.5.2 Model Assumption -- 9.5.3 Model Validation -- 9.5.4 Modified Kiln Model -- 9.6 Simulation Results and Discussion -- 9.7 Conclusion -- References -- 10 Modeling and Simulation of Heat and Mass Flow by ASPEN HYSYS for Petroleum Refining Process in Field Application -- 10.1 Introduction -- 10.2 Heating Furnace -- 10.2.1 Burner -- 10.2.2 Furnace Tube/Coil System -- 10.2.3 Furnace Wall System -- 10.2.4 Flue Gas Venting System -- 10.2.5 Blower, Fire Watch Door, Explosion-Proof Door -- 10.2.6 Control System…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Contents -- Preface -- Part I Update of SRF Fundamentals -- Chapter 1 Introduction -- Chapter 2 SRF Fundamentals Review -- 2.1 SRF Basics -- 2.2 Fabrication and Processing on Nb‐Based SRF Structures -- 2.2.1 Cavity Fabrication -- 2.2.2 Preparation -- 2.2.3 A Decade of Progress -- 2.3 SRF Physics -- 2.3.1 Zero DC Resistance -- 2.3.2 Meissner Effect -- 2.3.3 Surface Resistance and Surface Impedance in RF Fields -- 2.3.4 Nonlocal Response of Supercurrent -- 2.3.5 BCS -- 2.3.6 Residual Resistance -- 2.3.7 Smearing of Density of States -- 2.3.8 Ginzburg-Landau (GL) Theory -- 2.3.9 Critical Fields -- 2.3.10 Comparison Between Ginzburg-Landau and BCS -- 2.3.11 Derivation of Rs and Xs -- Part II High Q Frontier: Performance Advances and Understanding -- Chapter 3 Nitrogen‐Doping -- 3.1 Introduction -- 3.2 N‐Doping Discovery -- 3.3 Surface Nitride -- 3.4 Interstitial N -- 3.5 Electron Mean Free Path Dependence -- 3.5.1 LE‐μSR Measurements of Mean Free path -- 3.6 Anti‐Q‐Slope Origins from BCS Resistance -- 3.7 N‐Doping and Residual Resistance -- 3.7.1 Trapped DC Flux Losses -- 3.7.2 Residual Resistance from Hydride Losses -- 3.7.3 Tunneling Measurements -- 3.8 RF Field Dependence of the Energy Gap -- 3.9 Frequency dependence of Anti‐Q‐Slope -- 3.10 Theories for Anti‐Q‐Slope -- 3.10.1 Xiao Theory -- 3.10.2 Gurevich Theory -- 3.10.3 Nonequilibrium Superconductivity -- 3.10.4 Two‐Fluid Model‐Based on Weak Defects -- 3.11 Quench Field of N‐Doped Cavities -- 3.12 Evolution and Comparison of N‐doping Recipes -- 3.13 High Q and Gradient R&amp -- D Program for LCLS‐HE -- 3.14 N‐Doping at Other Labs -- 3.15 Summary of N‐doping -- Chapter 4 High Q via 300 °C Bake (Mid‐T‐Bake) -- 4.1 A Surprise Discovery -- 4.2 Similarities to N‐Doping -- 4.3 Mid‐T Baking at Other Labs -- 4.4 The Low‐Field Q‐Slope (LFQS) and 340 °C Baking Cures…”

Tabla de Contenidos: “…3.3 Equivalence Relation and Partitions -- 3.3.1 Definitions -- 3.3.2 Integers Modulo m -- 3.3.3 Fast Exponentiation -- 3.4 Partial Orders -- 3.4.1 Definitions for Partial Orders -- 3.4.2 Directed Acyclic Graph Definition -- 3.4.3 Hasse Diagrams -- 3.4.4 Partial vs Total Orders -- 3.4.5 Topological Sorting -- 3.4.6 Parallel Task Scheduling -- 3.5 Ordered Pairs -- 3.5.1 Representation of Relation -- 3.5.2 Graph of Relation -- 3.5.3 Composition of Relations -- 3.5.4 Types of Relations -- 3.5.5 Interpretation Using Digraphs -- 3.6 Warshall's Algorithm -- 3.7 Application of Relation -- Chapter 4: Functions and Recursion -- 4.1 Functions -- 4.1.1 Terminology -- 4.1.2 Properties -- 4.2 Recursion -- Chapter 5: Algebraic Structures -- 5.1 Algebra -- 5.1.1 Types of Homomorphism -- 5.2 DeMorgan's Law -- 5.2.1 Properties of Binary Operations -- 5.2.2 Quotient Semigroup: (Factor Semigroup) -- 5.3 Group -- 5.3.1 Isomorphism -- 5.4 Ring -- 5.4.1 Subring of a Ring R -- 5.4.2 Ring Homomorphism -- 5.5 Polish Expressions and Their Compilation -- 5.5.1 Polish Notation -- 5.5.2 Conversion of Infix Expressions to Polish Notation -- 5.6 The Communication Model and Error Correction -- 5.7 Hamming Codes -- 5.8 Error Recovery in Group Codes -- Chapter 6: Graph Theory -- 6.1 Introduction -- 6.2 Graph Representation -- 6.3 Topological Sort -- 6.4 Simple Graph Propagation Algorithm -- 6.5 Depth-First Search -- 6.5.1 Biconnected Components -- 6.5.2 Strongly-connected Components -- 6.5.3 An Application -- 6.6 Breadth-First Search -- 6.6.1 Introduction -- 6.6.2 Shortest Paths -- 6.7 Shortest-Path Algorithm -- 6.7.1 Single-source Shortest Path -- 6.8 Directed Acyclic Graphs -- 6.8.1 Matrix Multiplication -- 6.8.2 Floyd-Warshall's Method -- 6.8.3 Other Applications -- Chapter 7: Counting -- 7.1 A Party Problem -- 7.1.1 Sets and the Like -- 7.1.2 The Number of Subsets…”

Tabla de Contenidos: “…1.9.4 Result -- 1.10 Chapter summary -- 2 Ensuring High Availability for Your Enterprise Web Applications -- 2.1 Introduction -- 2.1.1 Key tenets of high availability -- 2.1.2 Motivations for high availability -- 2.2 High availability planning -- 2.2.1 Enterprise application availability chain -- 2.2.2 Availability analysis process and establishment -- 2.3 Challenges to high availability -- 2.3.1 Hardware-related challenges -- 2.3.2 Software-related challenges -- 2.3.2.1 Application issues impacting availability -- 2.3.3 Process-related challenges -- 2.3.4 Unanticipated challenges -- 2.4 High availability architecture patterns and best practices -- 2.4.1 Patterns for high availability -- 2.4.2 Software high availability patterns -- 2.4.3 High availability best practices -- 2.5 High availability for storage, network, and database components -- 2.5.1 Storage availability through RAID -- 2.5.2 Storage virtualization -- 2.5.2.1 Storage availability through NAS and SAN -- 2.6 High availability database -- 2.7 Network availability -- 2.8 5R model for high availability -- 2.8.1 Reliability -- 2.8.2 Replicability and DR strategy -- 2.8.3 Recoverability -- 2.8.4 Reporting and monitoring -- 2.8.5 Redundancy -- 2.9 Other aspects of high availability -- 2.9.1 Special case of gateway pages and business-critical transactions -- 2.9.2 Comparison with cloud -- 2.9.3 High availability of services, feeds, static assets, and pluggable components -- 2.10 Availability anti-patterns -- 2.11 High availability governance -- 2.12 Uninterrupted system and application maintenance -- 2.13 High availability testing -- 2.14 Case study -- 2.14.1 Problem statement -- 2.14.2 High availability assessment -- 2.14.3 Fixing gaps related to high availability -- 2.14.3.1 Infrastructure layer -- 2.14.3.2 Database layer -- 2.14.3.3 Application layer -- 2.14.3.4 Process-related fixes…”

Tabla de Contenidos: “…Wave RATs 8 -- 1.5.6 Redesigning Backhaul Links 9 -- 1.5.7 Energy Efficiency 9 -- 1.5.8 Allocation of New Spectrum for 5G 10 -- 1.5.9 Spectrum Sharing 10 -- 1.5.10 RAN Virtualisation 10 -- 1.6 5G in Europe 11 -- 1.6.1 Horizon 2020 Framework Programme 11 -- 1.6.2 5G Infrastructure PPP 12 -- 1.6.3 METIS Project 13 -- 1.6.4 5G Innovation Centre 14 -- 1.6.5 Visions of Companies 14 -- 1.7 5G in North America 15 -- 1.7.1 Academy Research 15 -- 1.7.2 Company R&D 15 -- 1.8 5G in Asia 16 -- 1.8.1 5G in China 16 -- 1.8.2 5G in South Korea 19 -- 1.8.3 5G in Japan 21 -- 1.9 5G Architecture 23 -- 1.10 Conclusion 24 -- Acknowledgements 25 -- References 25 -- 2 The 5G Internet 29 -- 2.1 Introduction 29 -- 2.2 Internet of Things and Context?]…”

Tabla de Contenidos: “…Murphy, Sheida Norsen, Elena M. Comelli and Mary R. L'Abb ́e Mismatch between Probiotic Benefits in Trials versus Food Products Reprinted from: Nutrients 2017, 9, 400, doi: 10.3390/nu9040400 242 -- Marta G ́omez, Laura Moles, Irene Espinosa-Martos, Gerardo Bustos, Willem M. de Vos, -- Le ́onides Fern ́andez, Juan M. …”

Tabla de Contenidos: “…6.2.2 Möglichkeiten der Themeneingrenzung -- 6.2.3 Anforderungen an eine gute Fragestellung -- 6.3 Methodensammlung für die Orientierungsphase -- 6.3.1 Freewriting -- 6.3.2 Clustern -- 6.3.3 Themenwürfel -- 6.3.4 Dreischritt -- 6.3.5 Planungsfünfeck -- Teil II: Sammeln und strukturieren -- Kapitel 7: Literaturverwaltung‌ -- 7.1 Literaturverwaltung ohne spezielle Software -- 7.1.1 Händisches Verwalten von Literatu‌r -- 7.1.2 Literaturverwaltung mit dem Quellen-Manager von Word -- 7.2 Spezielle Literaturverwaltungssoftware‌ -- 7.2.1 Vorteile von Literaturverwaltungssoftware -- 7.2.2 Entscheidung für ein bestimmtes Programm -- 7.2.3 Die gängige Literaturverwaltungssoftware im Überblick -- 7.2.4 Praktische Tipps für den Einstieg -- Kapitel 8: Literaturrecherche und -auswertung -- 8.1 Recherchestrategien und -techniken -- 8.1.1 Einstieg in die Recherche -- 8.1.2 Suchstrategien -- 8.1.3 Suchtechniken -- 8.2 Suchorte -- 8.2.1 Recherche im Interne‌t -- 8.2.2 Nutzung der Bibliothek vor Ort -- 8.2.3 Suche mit der Literaturverwaltungssoftware -- 8.3 Literaturauswertung in zwei Stufen‌ -- 8.3.1 Vorauswahl -- 8.3.2 Endgültige Auswahl -- Kapitel 9: Lesen -- 9.1 Aktives Lesen‌ -- 9.1.1 Lesearten -- 9.1.2 Lesetechniken‌ -- 9.1.3 Believing game und doubting game -- 9.1.4 Lesen mit KI-Tools ‌ -- 9.2 Verarbeiten der gelesenen Inhalte -- 9.2.1 Lesejournal‌ -- 9.2.2 Markierungen‌ und Randnotizen‌ -- 9.2.3 Exzerpte‌ -- 9.2.4 Visualisierung durch Mindmapping‌ -- Kapitel 10: Einsatz empirischer Methoden -- 10.1 Vorüberlegungen -- 10.2 Datenerhebung und -erfassung -- 10.2.1 Grundsätzliches zu standardisierten Befragungen‌ -- 10.2.2 Online-Befragungs-Tools -- 10.2.3 Aufnehmen von Interviews -- 10.2.4 Transkription von Interviews‌ -- 10.3 Datenauswertung‌ -- 10.3.1 Quantitativ ausgerichtete Auswertung -- 10.3.2 Mixed-Methods-Auswertung‌…”

Tabla de Contenidos: “…4.2 Proposed Methodology -- 4.3 Result Analysis -- 4.4 Conclusion -- 4.5 Future Work -- References -- Chapter 5 Novel Hybrid Optimal Deep Network and Optimization Approach for Human Face Emotion Recognition -- 5.1 Introduction -- 5.2 Related Work -- 5.3 System Model and Problem Statement -- 5.4 Proposed Model -- 5.4.1 Preprocessing Stage -- 5.4.2 Knowledge Based Face Detection -- 5.4.3 Image Resizing -- 5.4.4 Feature Extraction -- 5.5 Proposed HDC-GEN Classification -- 5.6 Result and Discussion -- 5.6.1 Performance Metrics Evaluation -- 5.6.2 Comparative Analysis -- 5.7 Conclusion -- References -- Chapter 6 An Application of Information Technology in Adaptive Leadership of Ministry of Ayush During Pandemic of Covid 19: A Case Study -- 6.1 Introduction -- 6.2 Ministry of AYUSH -- 6.3 Leadership Principles and Practices by Ministry of AYUSH During Covid-19 -- 6.4 Effective Communication -- 6.5 Sharing of Resources -- 6.6 Shared Decision Making -- 6.7 Training of Manpower -- 6.8 Use of IT Platform -- 6.9 Finding Opportunities for R&amp -- D During the Crisis -- 6.10 Collaborating with Stakeholders for International Day of Yoga (IDY) -- 6.11 Providing Hope When Nothing Seemed to be Working -- 6.12 Leveraging Old Knowledge -- 6.13 Conclusion -- References -- Chapter 7 Encoder-Decoder Models for Protein Secondary Structure Prediction -- 7.1 Introduction -- 7.2 Literature Review -- 7.3 Experimental Work -- 7.3.1 Data Set -- 7.3.2 Proposed Methodology -- 7.3.3 Data Preprocessing -- 7.3.4 Long Short Term Memory -- 7.4 Results and Discussion -- 7.5 Conclusion -- References -- Chapter 8 Hesitancy, Awareness, and Vaccination: A Computational Analysis on Complex Networks -- 8.1 Introduction -- 8.2 Model Formulation -- 8.3 Model Analysis on Complex Network -- 8.3.1 Effect of Vaccination Rate -- 8.3.2 Effect of Negative Rumors…”

Tabla de Contenidos: “…3.3 Making ndsDNA Gates from Array-Synthesized DNA -- 3.4 Characterizing Gate Kinetics -- 3.5 Reading Out DNA Computation with Next-Generation DNA Sequencing -- 3.6 Reading Pools of Array-Derived Gates -- 4 Discussion -- References -- Sequenceable Event Recorders -- 1 Introduction -- 2 Occurrence Recorder -- 2.1 Yes Gate -- 2.2 Occurrence Recorder Algorithm -- 3 Coincidence Recorder -- 3.1 Join Gate -- 3.2 Coincidence Recorder Algorithm -- 4 Preorder Recorder -- 4.1 Choice Gate Specification -- 4.2 Preorder Recorder Algorithm -- 4.3 Crosstalking Choice Gate -- 4.4 A ``Proper'' Choice Gate -- 5 Conclusions -- References -- Computational Design of Nucleic Acid Circuits: Past, Present, and Future -- 1 Past -- 1.1 Visual DSD Origins -- 1.2 Visual DSD Evolution -- 1.3 Visual DSD Analysis -- 2 Present -- 2.1 Logic Programming Framework -- 2.2 Related Work -- 3 Future -- 3.1 Computational Tool Integration -- 3.2 Experiment Integration -- 3.3 Computational Design for Practical Applications -- References -- Spatial Systems -- Parallel Computations with DNA-Encoded Chemical Reaction Networks -- 1 Harnessing Parallelization in Chemical Reaction Networks -- 1.1 D(R)NA-Based Deterministic Chemical Reaction Networks -- 1.2 CRNs Run on Inherently Parallel Processes -- 2 Creating Sub-Computations -- 2.1 No-Diffusion (Leak-Tight) Compartments -- 2.2 Compartment-Free Approaches -- 2.3 Intermediate Cases: Some Species Diffuse, Some Do Not -- 3 Discussion and Applications -- 3.1 Independent Compartments Containing an Identical Circuit but Receiving Different Inputs -- 3.2 Independent Compartments Containing Different Circuits, All Working on the Same Inputs -- 3.3 Cross-Talking Compartments Collaborating to Compute a Global Response -- References -- Social DNA Nanorobots -- 1 Introduction -- 1.1 Motivation -- 1.2 Summary of Our Results -- 1.3 Organization…”

Tabla de Contenidos: “…. -- Figura 4: (a) Ortofoto in 4 bande (R, G, B, IR)…”

Tabla de Contenidos: “…Basic reproduction number (R0) -- 2.2. Incubation period and symptoms -- 2.3. …”

Tabla de Contenidos: “…Material documental no publicado 5.1.3.r. Tesis doctoral, no publicada 5.1.3.s. Comunicación a congreso, no publicada 5.1.3.L Revisión de un libro 5.2. …”

Tabla de Contenidos: “…5.4 Model Accuracy 116 -- 5.5 Empirical Models 117 -- 5.5.1 Power Law Model 118 -- 5.5.2 Keenan / Motley Model 119 -- 5.5.3 ITU-R Indoor Model 121 -- 5.5.4 Siwiak / Bertoni / Yano (SBY) Multipath-Based Model 122 -- 5.5.5 Ericsson Multiple Breakpoint Model 122 -- 5.5.6 Tuan Empirical Indoor Model: 900 MHz to 5.7 GHz 123 -- 5.5.7 Attenuation Factor Model 123 -- 5.5.8 Indoor Dominant Path Model (DPM) 124 -- 5.5.9 COST-231 Multiwall Model 126 -- 5.6 Physical Models 128 -- 5.6.1 Introduction to Ray Tracing 129 -- 5.6.2 Honcharenko / Bertoni Model 130 -- 5.6.3 Ray-Tracing Site-Specific Model 131 -- 5.6.4 Lee Ray-Tracing Model 132 -- 5.6.5 Multichannel Coupling (MCC) Prediction 133 -- 5.6.6 Angular Z-Buffer Algorithm for Efficient Ray Tracing 136 -- 5.6.7 Intelligent Ray-Tracing (IRT) Model 138 -- 5.6.8 Hybrid Parabolic Equation / Integral Equation Indoor Model 139 -- 5.7 Hybrid Models 140 -- 5.7.1 Reduced-Complexity UTD Model 140 -- 5.7.2 Measurement-Based Prediction 142 -- 5.8 Outdoor-to-Indoor Models 143 -- 5.8.1 COST-231 Line-of-Sight Model 144 -- 5.8.2 COST-231 Non-Line-of-Sight Model 146 -- 5.8.3 Broadband Wireless Access (BWA) Penetration Model 147 -- 5.8.4 Ichitsubo / Okamoto Outdoor-to-Indoor Model (800 MHz / 8 GHz) 148 -- 5.8.5 Taga / Miura Model Using Identification of Path Passing Through Wall Openings 149 -- 5.9 Models for Propagation in Radiating Cables 150 -- 5.9.1 Zhang Model 150 -- 5.9.2 Carter Model 151 -- 5.9.3 Seseña / Aragón / Castañón Model 152 -- 5.10 Wideband Channel Characteristics 153 -- 5.11 Noise Considerations 156 -- 5.11.1 Noise Sources 157 -- 5.11.2 Noise Parameters 157 -- 5.11.3 Considerations for Indoor Wireless Systems 158 -- 5.12 In-Building Planning Tools 159 -- 5.12.1 iBwave Design 159 -- 5.12.2 WiMap-4G 160 -- 5.12.3 Mentum CellPanner 160 -- 5.12.4 Atrium 160 -- 5.12.5 WinProp 160 -- 5.12.6 CellTrace 161 -- 5.12.7 EDX Signal Pro 161 -- 5.12.8 iBuildNet DAS 162 -- 5.12.9 Wireless InSite 162 -- 5.13 Conclusion 162 -- References 163 -- 6 Antennas 167 -- 6.1 The Basics of Antenna Theory 167.…”