“…Un coffret réunissant les trois volumes est disponible aux Éditions Karthala sous l'ISBN 978-2-8111-0606-5. Prix du coffret : 44 €…”

“…Un coffret réunissant les trois volumes est disponible aux Éditions Karthala sous l'ISBN 978-2-8111-0606-5. Prix du coffret : 44 €…”

“…Un coffret réunissant les trois volumes est disponible aux Éditions Karthala sous l'ISBN 978-2-8111-0606-5. Prix du coffret : 44 €…”

“…El model de regressió logística binària va revelar tenir una bona capacitat predictiva, un poder de discriminació excepcional, classificant correctament el 82.1% de la mostra en termes de (in) seguretat de l'aferrament i presentant un 57.44% en la representació de la inclinació dels nen als 36 mesos d'edat. …”
Accés lliure

“…Skill Level All Levels What You Will Learn OpenGL 4.4 API essentials How to write shaders using OpenGL Shading Language (GLSL) The 3D mathematics behind 3D graphics How to load and render 3D models Mapping textures to 3D objects Ambient and diffuse lighting, specular highlights, point lights, and spotlights Environment mapping, fog, normal mapping, and color blending Survey additional topics in modern rendering, including post processing, shadow mapping, skeletal animation, geometry and tessellation shaders, deferred rendering, global illumination, and compute shaders. …”

“…Includes Exclusive Offers for Up to 70% Off Practice Tests, and more Pearson Test Prep online system requirements: Browsers: Chrome version 73 and above; Safari version 12 and above; Microsoft Edge 44 and abo..…”

“…You will learn about the protocols that belong to each of these layers and how they operate under numerous implementations, including Sun OS 4.1.3, Solaris 2.2, System V Release 4, BSD/386TM, AIX 3.2.2, and 4.4BSD.In TCP/IP Illustrated you will find the most thorough coverage of TCP available - 8 entire chapters. …”

Tabla de Contenidos: “….) -- 4.1 RECOPILANDO INFORMACIÓN VOLÁTIL -- 4.1.1 Fecha y hora del sistema -- 4.1.2 Conexiones de red abiertas -- 4.1.3 Puertos TCP y UDP abiertos -- 4.1.4 Ejecutables conectados a puertos TCP y UDP -- 4.1.5 Usuarios conectados al sistema -- 4.1.6 Tabla de enrutamiento interna -- 4.1.7 Procesos en ejecución -- 4.1.8 Archivos abiertos -- 4.2 ANÁLISIS FORENSE DE LA RAM -- 4.2.1 Captura de RAM completa con dd -- 4.3 ADQUISICIÓN DE SOPORTES -- 4.3.1 Adquisición con EnCase -- 4.3.2 Adquisición con FTK Imager -- 4.3.3 Otros métodos -- 4.4 ANÁLISIS POST MORTEM -- 4.4.1 Análisis con EnCase -- 4.4.2 AccessData FTK -- 4.4.3 Captain Nemo -- 4.4.4 Mount Image Pro -- 4.4.5 FileDisk -- 4.5 INVESTIGACIÓN DEL HISTORIAL DE INTERNET -- 4.5.1 Microsoft Internet Explorer -- 4.5.2 X-Ways Trace -- 4.5.3 iehist -- 4.5.4 Historial de navegación en Mozilla/Firefox -- 4.5.5 Chrome -- 4.6 LA PAPELERA DE RECICLAJE -- 4.6.1 Análisis de la papelera con Rifiuti -- 4.6.2 Funcionamiento de la papelera en Windows Vista/7 -- 4.7 COOKIES -- 4.8 CORREO ELECTRÓNICO -- 4.8.1 Formatos PST y DBX Folders -- 4.8.2 Otros clientes de correo -- 4.8.3 Paraben's E-Mail Examiner -- 4.9 BÚSQUEDA DE CARACTERES -- 4.9.1 SectorSpy, Disk Investigator y Evidor -- 4.9.2 X-Ways Forensics -- 4.10 METADATOS…”

Tabla de Contenidos: “…3.1.2 ESCANEADORES DE VULNERABILIDADES -- 3.1.3 EXPLOTANDO LA VULNERABILIDAD -- 3.1.4 UTILIZACIÓN DE SHELL COMO PAYLOAD -- 3.2 METASPLOIT FRAMEWORK -- 3.2.1 CONFIGURANDO UN EXPLOIT -- 3.3.2 DESCARGA DE HERRAMIENTAS MEDIANTE UN SCRIPT -- 3.3.3 TRANSFIRIENDO ARCHIVOS CON METERPRETER3.3.3 TRANSFIRIENDO ARCHIVOS CON METERPRETER -- 3.4 VALIDACIÓN TRANSPARENTE EN LOS SISTEMAS -- 3.4.1 VALIDACIÓN MEDIANTE FUERZA BRUTA -- 3.4.2 ROBANDO LAS CONTRASEÑAS CON UN KEYLOGGER -- 3.5 CONCLUSIONES -- 4 HACKING EN SISTEMAS WINDOWS -- 4.1 PENETRANDO EN SISTEMAS MICROSOFT -- 4.2 RECONOCIMIENTO DEL OBJETIVO -- 4.2.1 USO DE COMANDOS NET -- 4.2.1.1 NULL SESSION (SESIÓN NULA) -- 4.2.1.2 NET VIEW -- 4.2.1.3 NET ACCOUNTS -- 4.2.1.4 NET GROUP -- 4.2.1.5 NET LOCALGROUP -- 4.2.1.6 NET START -- 4.2.2 ASEGURAMIENTO CONTRA SESIONES NULAS -- 4.2.3 ENUMERACIÓN A TRAVÉS DE LA TABLA NETBIOS -- 4.2.4 ENUMERACIÓN USANDO EL PROTOCOLO SNMP -- 4.2.5 ENUMERANDO EL REGISTRO DE WINDOWS 4.2.5 ENUMERANDO EL REGISTRO DE WINDOWS -- 4.2.6 USO DE PROGRAMAS PARA ENUMERAR4.2.6 USO DE PROGRAMAS PARA ENUMERAR -- 4.2.6.1 USER2SID -- 4.2.6.2 SID2USER -- 4.2.6.3 CAIN &amp -- ABEL -- 4.2.6.4 NBTDUMP -- 4.2.6.5 USERDUMP -- 4.2.6.6 USERINFO -- 4.2.6.7 IP NETWORK BROWSER -- 4.2.6.8 ENUM -- 4.2.6.9 DUMPACL/DUMPSEC -- 4.2.6.10 FOCA -- 4.3 ESCANEO DEL OBJETIVO -- 4.4 CONSOLIDANDO EL ACCESO AL SISTEMA -- 4.2.1 USO DE COMANDOS NET -- 4.2.2 ASEGURAMIENTO CONTRA SESIONES NULAS4.2.2 ASEGURAMIENTO CONTRA SESIONES NULAS -- 4.4.2.1 EL SISTEMA SYSKEY -- 4.2.3 ENUMERACIÓN A TRAVÉS DE LA TABLA NETBIOSv -- 4.4.3.1 EXTRAER EL SAM CON DISCOS DE ARRANQUE -- 4.4.3.2 EXTRAER EL SAM CON PWDUMP -- 4.4.3.3 EXTRAER EL SAM UTILIZANDO CAIN &amp -- ABEL -- 4.4.3.4 EXTRAER EL SAM DEL DIRECTORIO REPAIR -- 4.2.4 ENUMERACIÓN USANDO EL PROTOCOLO SNMP4.2.4 ENUMERACIÓN USANDO EL PROTOCOLO SNMP -- 4.2.5 ENUMERANDO EL REGISTRO DE WINDOWS…”

Tabla de Contenidos: “…Administración de la cuenta por cobrar -- 4.1 Establecer los estándares de crédito -- 4.2 Establecer las condiciones del crédito -- 4.2.1 El porcentaje de descuento por pronto pago -- 4.2.2 Establecer el plazo neto de pago -- 4.3 Establecer la política de cobranza -- 4.4 Seguimiento de las cuentas por cobrar -- 4.4.1 El plazo de cobro…”

Tabla de Contenidos: “…STM32 Nucleo Expansion Boards -- 4.4. Summary -- 4.5. Exercises -- Chapter 5: The Nucleo-F411RE Development Board -- 5.1. …”

Tabla de Contenidos: “…-- PREFACE xv -- PART I INTRODUCTION TO COGNITIVE RADIOS 1 -- 1 Introduction 3 -- 1.1 Introduction, 3 -- 1.2 Signal Processing and Cognitive Radios, 4 -- 1.3 Software-Defined Radios, 6 -- 1.3.1 Software-Defined Radio Platforms, 14 -- 1.3.2 Software-Defined Radio Systems, 15 -- 1.4 From Software-Defined Radios to Cognitive Radios, 19 -- 1.4.1 The Spectrum Scarcity Problem, 19 -- 1.4.2 Emergence of CRs, 21 -- 1.5 What this Book is About, 22 -- 1.6 Summary, 26 -- 2 The Cognitive Radio 27 -- 2.1 Introduction, 27 -- 2.2 A Functional Model of a Cognitive Radio, 30 -- 2.2.1 Spectrum Knowledge Acquisition (Spectrum Awareness), 30 -- 2.2.2 Communications Decision-Making, 33 -- 2.2.3 Learning in Cognitive Radios, 33 -- 2.3 The Cognitive Radio Architecture, 35 -- 2.3.1 Spectrum Sensing Region of a Cognitive Engine, 36 -- 2.3.2 Radio Reconfiguration Region of a Cognitive Engine, 36 -- 2.3.3 Learning Region of a Cognitive Engine, 37 -- 2.3.4 Memory Region of a Cognitive Engine, 37 -- 2.4 The Ideal Cognitive Radio, 38 -- 2.5 Signal Processing Challenges in Cognitive Radios, 39 -- 2.6 Summary, 40 -- 3 Cognitive Radios and Dynamic Spectrum Sharing 42 -- 3.1 Introduction, 42 -- 3.2 Interference and Spectrum Opportunities, 46 -- 3.3 Dynamic Spectrum Access, 50 -- 3.4 Dynamic Spectrum Leasing, 54 -- 3.5 Challenges in DSS Cognitive Radios, 55 -- 3.6 Cognitive Radios and Future of Wireless Communications, 60 -- 3.7 Summary, 61 -- PART II THEORETICAL FOUNDATIONS 65 -- 4 Introduction to Detection Theory 67 -- 4.1 Introduction, 67 -- 4.2 Optimality Criteria: Bayesian versus Non-Bayesian, 71 -- 4.2.1 The Bayesian Approach, 72 -- 4.2.2 A Non-Bayesian Approach: Neyman / Pearson Optimality Criterion, 73 -- 4.3 Parametric Signal Detection Theory, 75 -- 4.3.1 Bayesian Optimal Detection, 76 -- 4.3.2 Neyman / Pearson Optimal Detection, 82 -- 4.3.3 Another Non-Bayesian Alternative: The Generalized Likelihood Ratio Test, 99 -- 4.3.4 Parametric Signal Detection in Additive Noise, 103 -- 4.4 Nonparametric Signal Detection Theory, 122.…”

Tabla de Contenidos: “…Update 89 -- 4.2.4 Final Radius 89 -- 4.3 System Model 90 -- 4.4 Performance Analysis 92 -- 4.4.1 Results and Discussion 93 -- 4.4.1.1 SINR Cross?]…”

Tabla de Contenidos: “…About the Author xiii Preface xv 1 Forecasting a Monthly Time Series 1 1.1 Introduction 1 1.2 Forecasting Using LV(p) Models 1 1.2.1 Basic or Regular LV(p) Models 1 1.2.2 Special LV(p) Models 6 1.3 Forecasting Using the LVARMA(p,q,r) Model 8 1.3.1 Special Notes on the ARMA Model 9 1.3.2 Application of Special LVAR Models 10 1.4 Forecasting Using TGARCH(a,b,c) Models 12 1.4.1 Application of ARCH(a), GARCH(b), and TARCH(c) Models 14 1.4.2 Application of TGARCH(a,b,0) Models 14 1.4.3 Application of TGARCH(a,b,c) Models 20 1.4.4 Other Alternative Models 20 1.5 Instrumental Variables Models 20 1.5.1 Application of the GMM Estimation Method 21 1.5.2 Application of the TSLS Estimation Method 36 1.6 Special Notes and Comments on Residual Analysis 42 1.6.1 Specific Residual Analysis 43 1.6.2 Additional Special Notes and Comments 61 1.6.3 Serial Correlation Tests 65 1.7 Statistical Results Using Alternative Options 67 1.7.1 Application of an Alternative Coefficient Covariance Matrix 67 1.7.2 Application of Selected Combinations of Options 70 1.7.3 Final Notes and Conclusions 71 2 Forecasting with Time Predictors 73 2.1 Introduction 73 2.2 Application of LV(p) Models of HS on MONTH by YEAR 73 2.2.1 Special LV(12) Models of HS on MONTH by YEAR 73 2.2.2 Application of the Omitted Variables Test - Likelihood Ratio 75 2.2.3 Heterogeneous Model of HS on HS(−12) and Month by YEAR 79 2.3 Forecast Models of HS on MONTH by YEAR 79 2.3.1 Application of LV(1) Models of HS on MONTH by YEAR 79 2.3.2 Application of Basic LV(p) Models of HS on MONTH by YEAR 82 2.3.3 Application of AR(q) Models of HS on MONTH by YEAR 86 2.3.4 Application of ARMA(q,r) Models of HS on MONTH by YEAR 89 2.3.5 Application of LVAR(p,q) Models of HS on MONTH by YEAR 89 2.3.6 Application of LVAR(p,q) Models of HS on YEAR by MONTH 92 2.4 Heterogeneous Classical Growth Models 95 2.4.1 Forecasting Based on LV(p) Het_CGMs of HS 95 2.4.2 Forecasting Based on AR(q) Het_CGMs 99 2.4.3 Forecasting Based on LVAR(p,q) Het_CGMs 101 2.5 Forecast Models of G in Currency.wf1 103 2.5.1 LVAR(p,q) Additive Models of G by @Month with @Trend 104 2.5.2 LV(1) Heterogeneous Models of G by @Month 111 2.6 Forecast Models of G on G(−1) and Polynomial Time Variables 116 2.6.1 Heterogeneous Model of G on G(−1) and Polynomial T by @Month 116 2.6.2 Forecast Model of G on G(−1) with Heterogeneous Polynomial Trend 138 2.7 Forecast Models of CURR in Currency.wf1 140 2.7.1 Developing Scatter Graphs with Regressions 141 2.7.2 Additive Forecast Models of CURR with a Time Predictor 143 2.7.3 Interaction Forecast Models of CURR 159 2.7.4 Forecast Models Based on Subsamples 169 3 Continuous Forecast Models 185 3.1 Introduction 185 3.2 Forecasting of FSPCOM 185 3.2.1 Simple Continuous Models of FSPCOM 185 3.2.2 LVAR(P,Q) Models of Y = FSPCOM with Polynomial Trend 190 3.2.3 Translog Models with Time Predictor 195 3.3 Forecasting Based on Subsamples 207 3.3.1 Lag Variable Models With Lower and Upper Bounds 209 3.4 Special LV(12) Models of HS with Upper and Lower Bounds 222 3.4.1 Special LVARMA(12,q,r) Model of LNYul Without Time Predictor 223 3.4.2 Special LVARMA(12,q,r) of LNYul With Time Predictor 223 4 Forecasting Based on (Xt,Yt) 229 4.1 Introduction 229 4.2 Forecast Models Based on (Xt,Yt) 229 4.3 Data Analysis Based on a Monthly Time Series 230 4.4 Forecast Models without a Time Predictor 230 4.4.1 Two-Way Interaction Models 230 4.4.2 Cobb-Douglass Model and Alternatives 235 4.5 Translog Quadratic Model 236 4.5.1 Forecasting Using a Subsample 240 4.5.2 Forecast Model with Trend 243 4.6 Forecasting of FSXDP 247 4.6.1 Forecasting of Y2 Based on a Subsample 247 4.6.2 Extension of the Model (4.25) with Time Variables 252 4.7 Translog Linear Models 256 4.7.1 Basic Translog Linear Model 256 4.7.2 Tanslog Linear Model with Trend 256 4.7.3 Heterogeneous Tanslog Linear Model 260 4.8 Application of VAR Models 262 4.8.1 Unstructured VAR Models Based on (X1t,Y1t) 262 4.8.2 The Simplest VAR Models with Alternative Trends 264 4.8.3 Complete Heterogeneous VAR Models by @Month 270 4.8.4 Bayesian VAR Models 271 4.8.5 VEC Models 271 4.9 Forecast Models Based on (Y1t,Y2t) 275 4.9.1 Forecast Models Based on Figures 4.42a and b 275 4.9.2 Reciprocal Causal Effects Models 279 4.9.3 Models with the Time Independent Variables 280 4.10 Special Notes and Comments 287 5 Forecasting Based On (X1t,X2t,Yt) 289 5.1 Introduction 289 5.2 Translog Linear Models Based on (X1,X2,Y1) 289 5.2.1 Basic Translog Linear Model 289 5.2.2 Tanslog Linear Model with Trend 292 5.2.3 Tanslog Linear Model with Heterogeneous Trends 292 5.3 Translog Linear Models Based on (X1,X2,Y2) 293 5.3.1 Translog Linear Models Using the Subsample {@Year>1990} 296 5.3.2 Translog Linear Models Using the Subsample {@Year>1975} 298 5.3.3 Translog Linear Models Using the Whole Sample 298 5.4 Forecast Models Using Original (X1,X2,Y) 300 5.4.1 Model Based on Figure 5.6a 300 5.4.2 Model Based on Figure 5.6b 301 5.4.3 Model Based on Figure 5.6c 307 5.5 Alternative Forecast Models Using Original (X1,X2,Y) 310 5.5.1 Three-Way Interaction Based on Figure 5.14a 311 5.5.2 Three-Way Interaction Based on Figure 5.14b and c 311 5.6 Forecasting Models with Trends Using Original (X1,X2,Y) 311 5.7 Application of VAR Models Based on (X1t,X2t,Y1t) 316 5.7.1 Unrestricted VAR Models 316 5.7.2 The Simplest Two-Way Interaction VAR Model 317 5.7.3 The Simplest Three-Way Interaction VAR Model 318 5.8 Applications of the Object "System" 320 5.8.1 The MLV(1,1,1) Models of (Y1,Y2,Y3) on (Y1(−1),Y2(−1),Y3(−1)) 320 5.8.2 Circular Effects MLV(1,1,1) Models 328 5.9 Models Presenting Causal Relationships Y1,Y2, and Y3 335 5.9.1 Triangular Effects Models 335 5.9.2 Circular Effects Models 340 5.9.3 Reciprocal Effects Models 341 5.10 Extended Models 344 5.10.1 Extension to the Models with Additional Exogenous Variables 344 5.10.2 Extension to the Models with Alternative Trends 347 5.10.3 Extension to LVARMA(p,q,r) 352 5.10.4 Extension to Heterogeneous Regressions by Months 356 5.11 Special Notes and Comments 369 6 Forecasting Quarterly Time Series 371 6.1 Introduction 371 6.2 Alternative LVARMA(p,q,r) Of a Single Time Series 371 6.2.1 LV(P) Forecast Model of GCDANt 371 6.2.2 LVARMA(p,q.r) Forecast Models of GCDN 372 6.2.3 Forecast Models of GCDAN with Time Variables 374 6.2.4 Special Notes on Uncommon Models 381 6.3 Complete Heterogeneous LV(2) Models of GCDAN By @Quarter 383 6.3.1 Using the Simplest Equation Specification 383 6.3.2 Using a Complete Equation Specification 387 6.4 LV(2) Models of GCDAN with Exogenous Variables 387 6.4.1 LV(2) Models with an Exogenous Variable 387 6.4.2 LV(2) Models with Two Exogenous Variables 390 6.5 Alternative Forecast Models Based on (Y1,Y2) 393 6.5.1 LV(2) Basic Interaction Models 393 6.5.2 LV(2) Models of (Y1,Y2) with an Exogenous Variable and @Trend 394 6.5.3 LV(2) Models of (Y1,Y2) with two Exogenous Variables and Trend 400 6.5.4 LV(2) Models of (Y1,Y2) with Three Exogenous Variables and Trend 409 6.6 Triangular Effects Models Based on (X1,X2,Y1) 413 6.6.1 Partial Two-Way Interaction LV(p) TE_Models 413 6.6.2 A Complete Two-Way Interaction LV(p) TE_Models 414 6.6.3 Three-Way Interaction LV(p) TE_ Models 415 6.7 Bivariate Triangular Effects Models Based on (X1,X2,Y1,Y2) 417 6.7.1 Partial Two-Way Interaction Models 417 6.7.2 Three-Way Interaction TE_Models 418 6.8 Models with Exogenous Variables and Alternative Trends 422 6.8.1 Models Based on (X1,X2,Y1) 422 6.8.2 Models Based on (X1,X2,Y1,Y2) with Trend 424 6.9 Special LV(4) Models with Exogenous Variables 427 6.10 Models with Exogenous Variables by @Quarter 433 6.10.1 Alternative Models Based on the Whole Sample 433 6.10.2 Forecasting Based on each Quarter's Level 435 7 Forecasting Based on Time Series by States 447 7.1 Introduction 447 7.2 Models Based on a Bivariate (Y1_1,Y1_2) 447 7.2.1 Alternative LV(p) Models Based on Figure 7.1a 448 7.2.2 Alternative LV(p) Models Based on Figure 7.1b 451 7.2.3 Alternative LV(p) Models Based on Figure 7.1c 454 7.3 Advanced LP(p) Models of (Y1_1,Y1_2) 455 7.3.1 Two-Way Interaction LV(p) Models 455 7.3.2 Three-Way Interaction LV(p) Models 456 7.3.3 Alternative Additive Models 456 7.4 Advanced LP(p) Models of (Y1_1,Y1_2,Y1_3) 457 7.4.1 Triangular Effects Model of (Y1_1,Y1_2,Y1_3) 457 7.4.2 Full-Lag Variables Triangular Effects Model 462 7.4.3 Translog-Linear Triangular Effects Model 466 7.5 Full-Lag Variables Circular Effects Model 466 7.5.1 Two-Way Interaction…”

Tabla de Contenidos: “…-- Preface xiii -- Acknowledgements xv -- List of Abbreviations xvii -- 1 Introduction 1 /Harri Holma -- 1.1 Introduction 1 -- 1.2 LTE Global Deployments and Devices 2 -- 1.3 Mobile Data Traffic Growth 3 -- 1.4 LTE Technology Evolution 4 -- 1.5 LTE Spectrum 5 -- 1.6 Small Cell Deployments 6 -- 1.7 Network Optimization 7 -- 1.8 LTE Evolution Beyond Release 13 8 -- 1.9 Summary 9 -- References 9 -- 2 LTE and LTE Advanced in Releases 8 / 11 11 /Antti Toskala -- 2.1 Introduction 11 -- 2.2 Releases 8 and 9 LTE 11 -- 2.2.1 Releases 8 and 9 Physical Layer 12 -- 2.2.2 LTE Architecture 17 -- 2.2.3 LTE Radio Protocols 17 -- 2.3 LTE Advanced in Releases 10 and 11 19 -- 2.3.1 Carrier Aggregation 19 -- 2.3.2 Multiple Input Multiple Output Enhancements 23 -- 2.3.3 HetNet Enhanced Inter-cell Interference Coordination 23 -- 2.3.4 Coordinated Multipoint Transmission 25 -- 2.4 UE Capability in Releases 8 / 11 26 -- 2.5 Conclusions 28 -- References 28 -- 3 LTE-Advanced Evolution in Releases 12 / 13 29 /Antti Toskala -- 3.1 Introduction 29 -- 3.2 Machine-Type Communications 29 -- 3.3 Enhanced CoMP 34 -- 3.4 FDD / TDD Carrier Aggregation 35 -- 3.5 WLAN-Radio Interworking 37 -- 3.6 Device-to-Device Communication with LTE 39 -- 3.7 Single Cell Point to Multipoint Transmission 41 -- 3.8 Release 12 UE Capabilities 42 -- 3.9 Conclusions 42 -- References 43 -- 4 Small Cell Enhancements in Release 12/13 45 /Antti Toskala, Timo Lunttila, Tero Henttonen and Jari Lindholm -- 4.1 Introduction 45 -- 4.2 Small Cell and Dual Connectivity Principles 45 -- 4.3 Dual Connectivity Architecture Principle 46 -- 4.4 Dual Connectivity Protocol Impacts 47 -- 4.5 Dual Connectivity Physical Layer Impacts and Radio Link Monitoring 49 -- 4.6 Other Small Cell Physical Layer Enhancement 53 -- 4.6.1 256QAM for LTE Downlink 53 -- 4.6.2 Small Cell ON/OFF Switching and Enhanced Discovery 53 -- 4.6.3 Power Saving with Small Cell ON/OFF 56 -- 4.6.4 Over the Air Synchronization Between eNodeBs 56 -- 4.7 Release 13 Enhancements 56.…”

Tabla de Contenidos: “…-- 3.9.3 Content Trends -- 3.10 Harnessing the Trends -- 3.11 Conclusion -- 4 Introduction to Mobile Service Architectures and Paradigms -- 4.1 Possible Application Paradigms for Mobile Services -- 4.2 Modes of Mobile Interaction -- 4.3 Mapping the Interaction to the Network Model -- 4.4 Mobile Interaction in the Mobile Ecosystem -- 4.4.1 Social Network -- 4.4.2 Device Network -- 4.4.3 RF Network -- 4.4.4 IP Network -- 4.4.5 Content Network -- 4.4.6 Machine Network -- 4.5 Modes of Communication Across the Network Layers -- 4.5.1 Human-to-Human Interaction (H2H) -- 4.5.2 Human-to-Content Interaction (H2C) -- 4.5.3 Human-to-Machine Interaction (H2M)…”

Tabla de Contenidos: “…4 -- 1.3 History of the Evolution of Satellites 7 -- 1.3.1 Era of Hot Air Balloons and Sounding Rockets 7 -- 1.3.2 Launch of Early Artificial Satellites 8 -- 1.3.3 Satellites for Communications, Meteorology and Scientific Exploration -- Early Developments 10 -- 1.3.4 Non-geosynchronous Communication Satellites: Telstar and Relay Programmes 11 -- 1.3.5 Emergence of Geosynchronous Communication Satellites 12 -- 1.3.6 International Communication Satellite Systems 15 -- 1.3.7 Domestic Communication Satellite Systems 16 -- 1.3.8 Satellites for other Applications also made Rapid Progress 19 -- 1.3.9 Small or Miniature Satellites 22 -- 1.4 Evolution of Launch Vehicles 27 -- 1.5 Future Trends 33 -- 1.5.1 Communication Satellites 33 -- 1.5.2 Weather Forecasting Satellites 33 -- 1.5.3 Earth Observation Satellites 33 -- 1.5.4 Navigational Satellites 34 -- 1.5.5 Military Satellites 35 -- Further Reading 35 -- Glossary 35 -- 2 Satellite Orbits and Trajectories 37 -- 2.1 Definition of an Orbit and a Trajectory 37 -- 2.2 Orbiting Satellites -- Basic Principles 37 -- 2.2.1 Newton's Law of Gravitation 39 -- 2.2.2 Newton's Second Law of Motion 40 -- 2.2.3 Kepler's Laws 41 -- 2.3 Orbital Parameters 44 -- 2.4 Injection Velocity and Resulting Satellite Trajectories 61 -- 2.5 Types of Satellite Orbits 67 -- 2.5.1 Orientation of the Orbital Plane 67 -- 2.5.2 Eccentricity of the Orbit 68 -- 2.5.3 Distance from Earth 70 -- 2.5.4 Sun-synchronous Orbit 73 -- Further Readings 76 -- Glossary 76 -- 3 Satellite Launch and In-orbit Operations 79 -- 3.1 Acquiring the Desired Orbit 79 -- 3.1.1 Parameters Defining the Satellite Orbit 80 -- 3.1.2 Modifying the Orbital Parameters 83 -- 3.2 Launch Sequence 95 -- 3.2.1 Types of Launch Sequence 95 -- 3.3 Launch Vehicles 100 -- 3.3.1 Introduction 100 -- 3.3.2 Classification 100 -- 3.3.3 Anatomy of a Launch Vehicle 104.…”

Tabla de Contenidos: “…Johann Friedrich Reiffstein an Gottsched, Kassel 6. Januar 1747 -- 44. Johann Gottfried Hermann an Gottsched, Dresden 9. …”

“…La eclosión se produjo a las 16 h: 20 min después de la fertilización, a una temperatura de 27 ± 1oC; la longitud promedio de las larvas recién eclosionadas fue de 1,44 ± 0,07 mm. A las 48 horas de la eclosión se reabsorbió el saco vitelino y la gota de aceite. …”
Enlace del recurso

“…Skill Level Beginner Intermediate What You Will Learn How to plan and design a basic application using Storyboard How to create dynamic visual interfaces with Auto Layout How to add interactions and tables to customize your application How to connect your app with the outside world How to add animation to your application Who Should Take This Course Developers looking for a practical introduction to iOS 8 application development Course Requirements Familiarity with Objective-C language Familiarity with basic application development concepts Table of Contents Lesson 1: Overview of iOS 1.1 Understand what is needed to get started 1.2 Identify common iOS patterns 1.3 Grasp the basics of navigation 1.4 Understand view controllers 1.5 Understand views 1.6 Understand controls 1.7 Understand events Lesson 2: Starting Your App with Storyboard 2.1 Add view controllers to a storyboard 2.2 Add views and controls to view controllers 2.3 Implement storyboard segues and transitions 2.4 Customize views and controls 2.5 Set up static tables Lesson 3: Auto Layout 3.1 Understand the basics of Auto Layout 3.2 Use Auto Layout in Interface Builder 3.3 Implement Auto Layout programmatically 3.4 Debug Auto Layout Lesson 4: Adding Interactions to Your App 4.1 Respond to button taps 4.2 Handle text entry and display 4.3 Display text in preferred font 4.4 Select and display images 4.5 Utilize gesture recognizers Lesson 5: Using Tables in Your App 5.1 Display dynamic co..…”