Tabla de Contenidos: “…PREDICTION OF THE TD50 -- 4.1 Predictions Based on the MDT -- 4.2 Predictions Based on Mutagenicity and Acute Toxicity -- 5. …”

Tabla de Contenidos: “…ACFS Encryption Configuration and Use -- ACFS Snapshots, Security, and Encryption -- ACFS Security and Encryption Implementation -- Summary -- Chapter 12: ASM Optimizations in Oracle Engineered Solutions -- Overview of Exadata -- Exadata Components -- 11gR2 Database Optimizations for Exadata -- ASM Optimizations for Exadata -- ODA Overview -- ODA Components -- ASM Optimizations for ODA -- ODA and NFS -- Summary -- Chapter 13: ASM Tools and Utilities -- ASMCA -- ASMCMD -- Renamedg -- ASM Storage Reclamation Utility (ASRU) -- Overview of ASRU Operation -- When to Use ASRU to Reclaim Storage -- Using ASRU to Reclaim Storage on 3Par: Use Cases -- KFOD -- AMDU -- Summary -- Chapter 14: Oracle 12c ASM: A New Frontier -- Password Files in ASM -- Disk Management and Rebalance New Features -- Fast Disk Resync and Checkpoints -- Fast Disk Replacement -- Failure Group Repair Timer -- Rebalance Time Estimations -- File Priority Rebalance -- Flex ASM -- Flex ASM Clustering -- Flex ASM Listeners -- Flex ASM Network -- Remote ASM Access -- ASM Optimizations on Engineered Systems -- Error Checking and Scrubbing -- Other Miscellaneous Flex ASM Features -- Summary -- Appendix: Best Practices for Database Consolidation in Private Clouds -- Private Database Cloud Consolidation: The Business Drivers -- Initial Server Pool Sizing -- CPU -- Partitioning vs. …”

Tabla de Contenidos: “…-- 2.4.2 Ableitung einer Tensoroperation: der Gradient -- 2.4.3 Stochastisches Gradientenabstiegsverfahren -- 2.4.4 Ableitungen verketten: der Backpropagation-Algorithmus -- 2.5 Zurück zum ersten Beispiel -- 2.6 Zusammenfassung Kapitel 2 -- Kapitel 3: Einführung in neuronale Netze -- 3.1 Aufbau eines neuronalen Netzes -- 3.1.1 Layer: Bausteine des Deep Learnings -- 3.1.2 Modelle: vernetzte Layer -- 3.1.3 Verlustfunktionen und Optimierer: Konfiguration des Lernvorgangs -- 3.2 Einführung in Keras -- 3.2.1 Keras, TensorFlow, Theano und CNTK -- 3.2.2 Keras installieren -- 3.2.3 Mit Keras entwickeln: eine kurze Übersicht -- 3.3 Einrichtung eines Deep-Learning-Rechners -- 3.3.1 Zwei Möglichkeiten, Keras zum Laufen zu bringen -- 3.3.2 Pro und Kontra: Deep Learning in der Cloud ausführen -- 3.3.3 Für Deep Learning geeignete GPUs -- 3.4 Klassifikation von Filmbewertungen: ein Beispiel für eine Binärklassifikation -- 3.4.1 Die IMDb-Datensammlung -- 3.4.2 Daten vorbereiten -- 3.4.3 Neuronales Netz erzeugen -- 3.4.4 Validierung des Ansatzes -- 3.4.5 Vorhersagen über neue Daten mit einem trainierten neuronalen Netz treffen -- 3.4.6 Weitere Experimente -- 3.4.7 Zusammenfassung -- 3.5 Ein Beispiel für eine Mehrfachklassifikation: Klassifikation von Nachrichtenmeldungen -- 3.5.1 Die Reuters-Datensammlung -- 3.5.2 Daten vorbereiten -- 3.5.3 Neuronales Netz erzeugen -- 3.5.4 Validierung des Ansatzes -- 3.5.5 Vorhersagen über neue Daten treffen…”

Tabla de Contenidos: “…Classifying movie reviews: a binary classification example -- 3.4.1. The IMDB dataset -- 3.4.2. Preparing the data -- 3.4.3. …”

Tabla de Contenidos: “…-- Configuration management repositories and configuration management databases (CMDBs) -- Best practices for secure configuration management -- SBP 14 - be prepared to prune dead code over time -- The accumulation of dead code in software and PaaS systems -- The unique challenge of PaaS service configurations -- Pruning dead code -- SBP 15 - if it doesn't fit, don't force it -- use a microservice -- PaaS and its boundaries -- Microservices as a contingency strategy…”

Tabla de Contenidos: “…Understanding the Scene Optimizer and its Operating Modes -- Creating a Custom Optimization Strategy for the Asteroid Belt -- Summary -- Extended Topics -- Chapter 13: Converting the Application to a PWA -- Technical Requirements -- Hosting Requirements -- Options for Hosting your PWA -- Resources and Reading -- Introduction to PWAs -- SSL -- Service Workers -- Web Manifest -- Converting the Space-Truckers application into a PWA -- Putting the "P" in PWA -- Using the PWABuilder Extension -- Using IndexedDB to Persist Scores -- Learning about IndexedDB -- Using IndexedDB -- Recap -- Storing and Displaying High Scores -- The Heist -- The Muscle -- The Safe Cracker -- The Brains -- The Job -- The Integration -- Summary -- Extended Topics -- Chapter 14: Extended Topics, Extended -- AR and VR with WebXR -- An Abridged History of AR/VR on the WWW -- Building Tomorrow, Today with the WebXR Experience Helper -- Further Reading -- A Tour of the Babylon.js Native Project -- Choosing Babylon Native -- The Evolution of a Babylon Native App -- Further Reading -- Incorporating 3D Content into a Website -- Babylon.js and CMS -- Tracing out a Path to Advanced Rendering -- Ray Tracing and its History by Erich Loftis -- Summary -- Index -- About Packt -- Other Books You May Enjoy…”

Tabla de Contenidos: “…Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Foreword I -- Foreword II -- Preface -- Teams -- Acknowledgments -- Author -- Part I: Introduction -- Chapter 1 ◾ SRv6 Background -- 1.1 OVERVIEW OF INTERNET DEVELOPMENT -- 1.2 START OF ALL IP 1.0: A COMPLETE VICTORY FOR IP -- 1.2.1 Competition between ATM and IP -- 1.2.2 MPLS: The Key to All IP 1.0 -- 1.3 CHALLENGES FACING ALL IP 1.0: IP/MPLS DILEMMA -- 1.3.1 MPLS Dilemma -- 1.3.2 IPv4 Dilemma -- 1.3.3 Challenges for IPv6 -- 1.4 OPPORTUNITIES FOR ALL IP 1.0: SDN AND NETWORK PROGRAMMING -- 1.4.1 OpenFlow -- 1.4.2 POF -- 1.4.3 P4 -- 1.4.4 SR -- 1.5 KEY TO ALL IP 2.0: SRv6 -- 1.6 STORIES BEHIND SRv6 DESIGN -- REFERENCES -- Part II: SRv6 1.0 -- Chapter 2 ◾ SRv6 Fundamentals -- 2.1 SRv6 OVERVIEW -- 2.2 NETWORK INSTRUCTIONS: SRv6 SEGMENTS -- 2.3 NETWORK NODES: SRv6 NODES -- 2.3.1 SRv6 Source Node -- 2.3.2 Transit Node -- 2.3.3 Endpoint Node -- 2.4 NETWORK PROGRAM: SRv6 EXTENSION HEADER -- 2.4.1 SRv6 Extension Header Design -- 2.4.2 SRH TLVs -- 2.4.2.1 Padding TLV -- 2.4.2.2 HMAC TLV -- 2.4.3 SRv6 Instruction Set: Endpoint Node Behaviors -- 2.4.3.1 End SID -- 2.4.3.2 End.X SID -- 2.4.3.3 End.T SID -- 2.4.3.4 End.DX6 SID -- 2.4.3.5 End.DX4 SID -- 2.4.3.6 End.DT6 SID -- 2.4.3.7 End.DT4 SID -- 2.4.3.8 End.DT46 SID -- 2.4.3.9 End.DX2 SID -- 2.4.3.10 End.DX2V SID -- 2.4.3.11 End.DT2U SID -- 2.4.3.12 End.DT2M SID -- 2.4.3.13 End.B6.Insert SID -- 2.4.3.14 End.B6.Encaps SID -- 2.4.3.15 End.BM SID -- 2.4.4 SRv6 Instruction Set: Source Node Behaviors -- 2.4.4.1 H.Insert -- 2.4.4.2 H.Encaps -- 2.4.4.3 H.Encaps.L2 -- 2.4.5 SRv6 Instruction Set: Flavors -- 2.4.5.1 PSP -- 2.4.5.2 USP -- 2.4.5.3 USD -- 2.5 NETWORK PROGRAM EXECUTION: SRv6 PACKET FORWARDING -- 2.5.1 Local SID Table -- 2.5.2 Packet Forwarding Process -- 2.5.2.1 Step 1: Processing on SRv6 Source Node A.…”

Tabla de Contenidos: “…6.6 Programmable Gain Amplifier -- 6.6.1 Timing -- 6.6.2 Common Mode Feedback -- 6.6.2.1 AMP and CMFB -- 6.7 Chopper Amplifier -- 6.8 Dynamic Element Matching Technique -- 6.9 Resistor-Less Current Reference -- 6.10 Switch Mode Converter -- 6.11 SPICE Example -- 6.12 Layout Issue -- 6.13 Summary -- References -- Chapter 7: Data Converter -- 7.1 Introduction -- 7.2 Digital-to-Analog Converter -- 7.2.1 Resistor String Topology -- 7.2.2 Current Steering -- 7.2.3 Hybrid Topology -- 7.2.4 DAC Trimming or Calibration -- 7.2.5 Glitch -- 7.3 Analog-to-Digital Converter -- 7.3.1 Slope ADC -- 7.3.2 SAR ADC -- 7.3.3 Flash ADC -- 7.3.4 Pipelined ADC -- 7.3.5 Delta Sigma ADC -- 7.4 SPICE Example -- 7.4.1 DAC Example -- 7.4.2 ADC Example -- 7.5 Layout Examples -- 7.6 Summary -- References -- Chapter 8: CMOS Color and Image Sensor Circuit Design -- 8.1 Introduction -- 8.2 Technology and Methodology -- 8.2.1 General Comments on Technology or Process for CMOS Image Sensor -- 8.2.2 Backside Illumination -- 8.2.3 Photo Devices -- 8.2.4 Design Methodology -- 8.3 CMOS Color Sensor -- 8.3.1 Transimpedance Amplifier Topology -- 8.3.2 Current to Frequency Topology -- 8.3.3 Current Integration Topology -- 8.4 CMOS Image Sensor -- 8.4.1 CMOS Image Sensor Architecture -- 8.4.1.1 Pixel-Level ADC -- 8.4.1.2 Column-Level ADC -- 8.4.1.3 Chip-Level ADC -- 8.4.2 Analog Pixel Sensor -- 8.4.3 Digital Pixel Sensor -- 8.4.4 Low Power and Low Noise Technique -- 8.4.4.1 Low Power Techniques -- 8.4.4.2 Low Noise Techniques -- 8.5 SPICE Example -- 8.6 Layout -- 8.7 Summary -- References -- Chapter 9: Peripheral Circuits -- 9.1 Introduction -- 9.2 Oscillator -- 9.2.1 Ring Oscillator -- 9.2.2 RC Oscillator -- 9.2.2.1 Ramp Oscillator -- 9.3 Non-overlapping Generator -- 9.4 Interface Circuitry -- 9.4.1 Basic Interface Circuit -- 9.4.2 I2C -- 9.5 I/O Pad -- 9.6 Schmitt Trigger Circuit…”

Tabla de Contenidos: “…Front Cover -- 5G Physical Layer -- Copyright -- Contents -- Acknowledgments -- List of Acronyms -- 1 Introduction: 5G Radio Access -- 1.1 Evolution of Mobile Communication -- 1.2 5G New Radio Access Technology -- 1.3 5G NR Global View -- 1.3.1 5G Standardization -- 1.3.2 Spectrum for 5G -- 1.3.3 Use Cases for 5G -- eMBB: -- URLLC: -- mMTC: -- 1.3.4 5G Field Trials -- 1.3.5 5G Commercial Deployments -- 1.4 Preview of the Book -- References -- 2 NR Physical Layer: Overview -- 2.1 Radio Protocol Architecture -- 2.2 NR PHY: Key Technology Components -- 2.2.1 Modulation -- 2.2.2 Waveform -- 2.2.3 Multiple Antennas -- 2.2.4 Channel Coding -- 2.3 Physical Time-Frequency Resources -- 2.4 Physical Channels -- 2.5 Physical Signals -- 2.6 Duplexing Scheme -- 2.7 Frame Structure -- 2.8 PHY Procedures and Measurements -- 2.9 Physical Layer Challenges -- 2.9.1 Propagation Related Challenges -- 2.9.2 Hardware Related Challenges -- References -- 3 Propagation &amp -- Channel Modeling -- 3.1 Propagation Fundamentals -- 3.1.1 Electromagnetic Waves -- 3.1.2 Free-Space Propagation -- 3.1.3 Scattering and Absorption -- 3.2 Propagation Channel Characterization -- 3.2.1 Frequency-Delay Domain -- 3.2.2 Doppler-Time Domain -- 3.2.3 Directional Domain -- 3.3 Experimental Channel Characteristics -- 3.3.1 Measurement Techniques -- 3.3.1.1 Continuous Wave -- 3.3.1.2 Vector Network Analyzer -- 3.3.1.3 Correlation-Based Channel Sounding -- 3.3.1.4 Directional Characteristics -- 3.3.2 Analysis Methods -- 3.3.2.1 Spectral Analysis -- 3.3.2.2 Superresolution Methods -- 3.3.2.3 Measurement Comparability -- 3.3.3 Transmission Loss Measurements -- 3.3.3.1 Indoor Of ce Scenario -- 3.3.3.2 Outdoor-to-Indoor Scenario -- 3.3.3.3 Outdoor Street Scenario -- 3.3.3.4 Outdoor Urban Over Rooftop Scenario -- 3.3.4 Delay Domain Measurements -- 3.3.4.1 Indoor Of ce -- 3.3.4.2 Outdoor-to-Indoor…”

Tabla de Contenidos: “…Intro -- Prefacio -- Agradecimientos -- Índice -- Acrónimos y abreviaciones -- Editorial -- Paraguay en cifras -- Regiones administrativas de Paraguay -- Resumen ejecutivo -- Conclusiones principales -- Principales obstáculos para el desarrollo de Paraguay -- Capítulo 1 Visión general: colmando las ambiciones de desarrollo de Paraguay -- Resultados recientes de Paraguay en materia de desarrollo -- Gráfico 1.1. Crecimiento del PIB y PIB per cápita en Paraguay (1960-2016) -- Gráfico 1.2. …”

Tabla de Contenidos: “…10.2.1 Setting up the IMS to DB2 connection using RRSAF -- 10.2.2 Accessing DB2 UDB for z/OS databases from JMP or JBP applications -- 10.3 IMS Java symbolic checkpoint and restart for JBP -- 10.3.1 Checkpoint call formats -- 10.3.2 Restart call formats -- 10.4 IMS Java GSAM support for JBP applications -- 10.5 Java-COBOL interoperability -- 10.5.1 Enterprise COBOL as a back-end application in a JMP or JBP region -- 10.5.2 Enterprise COBOL as a front-end application in a JMP or JBP region -- 10.6 JDBC and SQL enhancement -- 10.6.1 JDBC enhancement -- 10.6.2 SQL enhancement -- 10.6.3 SQL syntax enhancement -- 10.7 Remote database services -- 10.7.1 Remote database services components -- 10.7.2 Security -- 10.7.3 Installation steps -- Chapter 11. …”