Tabla de Contenidos: “…5.4.1 L-H transition -- 5.4.2 Pedestal performance -- 5.4.3 Operation at trans-Greenwald density -- 5.4.4 Core transport -- 5.5 Power exhaust -- 5.5.1 Power decay length -- 5.5.2 ELM mitigation with magnetic perturbations -- 5.6 MHD modes and disruptions -- 5.6.1 NTM suppression -- 5.6.2 Disruption studies -- 5.7 Scenario development -- 5.7.1 ITER baseline operation -- 5.7.2 Type I ELMy H-Modes at highest P/R values -- 5.7.3 Scenarios at elevated central q -- 5.8 Summary and outlook -- Acknowledgements -- References -- 6 - The Tokamak Fusion Test Reactor -- 6.1 Introduction -- 6.2 TFTR design and capabilities -- 6.2.1 Magnets -- 6.2.2 Vacuum vessel, plasma-facing components, bakeout system, and other "conditioning" techniques -- 6.2.3 Heating systems -- 6.2.3.1 Neutral beam injection -- 6.2.3.2 Ion cyclotron heating -- 6.2.4 Fueling and impurity injection systems -- 6.2.5 Tritium handling, delivery, and exhaust systems -- 6.2.6 Tritium retention and removal -- 6.2.7 Shielding -- 6.2.8 Conduct of maintenance, installation, and final decommissioning -- 6.2.9 Diagnostics -- 6.3 TFTR operational regimes: requirements, characteristics and limitations -- 6.3.1 Ohmically heated plasmas -- 6.3.2 Neutral beam injection-heated plasmas -- 6.3.2.1 L-mode -- 6.3.2.2 Supershots in TFTR -- 6.3.2.3 H-mode -- 6.3.2.4 High internal inductance regime -- 6.3.2.5 Reversed shear and enhanced reversed shear -- 6.3.2.6 Detached plasmas and radiating mantles -- 6.3.3 ICRF heated -- 6.4 Main physics results from TFTR (not D-T specific) -- 6.4.1 Thermal energy and particle confinement -- 6.4.1.1 Confinement in ohmically heated plasmas -- 6.4.1.2 Confinement of plasmas with dominant auxiliary heating -- 6.4.1.3 Role of turbulent fluctuations -- 6.4.1.4 Heat pulse propagation and perturbative transport studies…”

“…Modeling and Optimization of Signals using Machine Learning Techniques is designed for researchers from academia, industries, and R&D organizations worldwide who are passionate about advancing machine learning methods, signal processing theory, data mining, artificial intelligence, and optimization. …”

Tabla de Contenidos: “…3.3.4 Installation abschließen und neu starten -- 3.4 Dual-Boot - Kali Linux und Windows -- 3.5 Installation auf einem vollständig verschlüsselten Dateisystem -- 3.5.1 Einführung in LVM -- 3.5.2 Einführung in LUKS -- 3.5.3 Konfigurieren verschlüsselter Partitionen -- 3.6 Kali Linux auf Windows Subsystem for Linux -- 3.6.1 Win-KeX‌ -- 3.7 Kali Linux auf einem Raspberry Pi -- 3.8 Systemeinstellungen und Updates -- 3.8.1 Repositories -- 3.8.2 NVIDIA-Treiber für Kali Linux installieren -- 3.8.3 Terminal als Short-Cut (Tastenkombination) -- 3.9 Fehlerbehebung bei der Installation‌ -- 3.9.1 Einsatz der Installer-Shell zur Fehlerbehebung -- 3.10 Zusammenfassung -- Kapitel 4: Erste Schritte mit Kali -- 4.1 Konfiguration von Kali Linux -- 4.1.1 Netzwerkeinstellungen -- 4.1.2 Verwalten von Benutzern und Gruppen -- 4.1.3 Services konfigurieren -- 4.2 Managing Services -- 4.3 Hacking-Labo‌r einrichten -- 4.3.1 Kali Linux - Test Lab Environment -- 4.4 Sichern und Überwachen mit Kali Linux -- 4.4.1 Sicherheitsrichtlinie‌n definieren -- 4.4.2 Mögliche Sicherheitsmaßnahmen -- 4.4.3 Netzwerkservices absichern -- 4.4.4 Firewall- oder Paketfilterung -- 4.5 Weitere Tools installieren -- 4.5.1 Meta-Packages mit kali-tweaks‌ installieren -- 4.5.2 Terminator statt Terminal -- 4.5.3 OpenVAS zur Schwachstellenanalyse -- 4.5.4 SSLstrip2 -- 4.5.5 Dns2proxy‌ -- 4.6 Kali Linux ausschalten -- 4.7 Zusammenfassung -- Teil II: Einführung in Penetration Testing -- Kapitel 5: Einführung in Security Assessments -- 5.1 Kali Linux in einem Assessment -- 5.2 Arten von Assessments -- 5.2.1 Schwachstellenanalyse -- 5.2.2 Compliance-Test -- 5.2.3 Traditioneller Penetrationstest -- 5.2.4 Applikations-Assessment -- 5.3 Normierung der Assessments -- 5.4 Arten von Attacken -- 5.4.1 Denial of Service‌s (D‌oS) -- 5.4.2 Speicherbeschädigungen -- 5.4.3 Schwachstellen von Webseiten…”

Tabla de Contenidos: “…Implementing the TotalStorage Expert in AIX -- 5.1 Preparing for the installation -- 5.1.1 Perform the following steps before starting the installation -- 5.1.2 Starting the installation program -- 5.2 AIX installation error troubleshooting -- 5.2.1 Diagnostic logfile locations -- 5.2.2 Known issues -- 5.2.3 Passwords for DB2 Universal Database and TotalStorage Expert -- 5.2.4 Verify the TotalStorage Expert V2.1 install -- 5.3 Setting up the TotalStorage Expert -- 5.3.1 Configuration Utility -- 5.4 TotalStorage Expert graphical user interfaces (GUIs) -- 5.4.1 The left pane shows a list of operations -- 5.4.2 The right pane shows the main information -- 5.5 TotalStorage Expert Configuration Utility -- 5.5.1 Basic configuration -- 5.5.2 Database setup -- 5.5.3 Define administrators -- 5.5.4 Enter License Key -- 5.5.5 Restart TotalStorage Expert -- 5.6 Migrating from IBM StorWatch V1R2 to TotalStorage Expert -- 5.6.1 Pre-migration steps -- 5.6.2 Migration process -- 5.7 SWExport and SWImport utilities -- 5.7.1 Migrating databases with SWExport and SWImport utilities -- 5.7.2 SWExport and SWImport installation requirements -- 5.7.3 SWImport on AIX -- 5.7.4 Starting and stopping the servers in AIX -- 5.7.5 Preparing for uninstalling TotalStorage Expert V2.1…”

Tabla de Contenidos: “…Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgment -- 1 Deep Dive Into Blockchain Technology: Characteristics, Security and Privacy Issues, Challenges, and Future Research Directions -- 1.1 Introduction -- 1.2 Blockchain Preliminaries -- 1.2.1 Functioning of Blockchain -- 1.2.2 Design of Blockchain -- 1.2.3 Blockchain Elements -- 1.3 Key Technologies of Blockchain -- 1.3.1 Distributed Ledger -- 1.3.2 Cryptography -- 1.3.3 Consensus -- 1.3.4 Smart Contracts -- 1.3.5 Benchmarks -- 1.4 Consensus Algorithms of Blockchain -- 1.4.1 Proof of Work (PoW) -- 1.4.2 Proof of Stake (PoS) -- 1.4.3 BFT-Based Consensus Algorithms -- 1.4.4 Practical Byzantine Fault Tolerance (PBFT) -- 1.4.5 Sleepy Consensus -- 1.4.6 Proof of Elapsed Time (PoET) -- 1.4.7 Proof of Authority (PoA) -- 1.4.8 Proof of Reputation (PoR) -- 1.4.9 Deputized Proof of Stake (DPoS) -- 1.4.10 SCP Design -- 1.5 Internet of Things and Blockchain -- 1.5.1 Internet of Things -- 1.5.2 IoT Blockchain -- 1.5.3 Up-to-Date Tendency in IoT Blockchain Progress -- 1.6 Applications of Blockchain in Smart City -- 1.6.1 Digital Identity -- 1.6.2 Security of Private Information -- 1.6.3 Data Storing, Energy Ingesting, Hybrid Development -- 1.6.4 Citizens Plus Government Frame -- 1.6.5 Vehicle-Oriented Blockchain Appliances in Smart Cities -- 1.6.6 Financial Applications -- 1.7 Security and Privacy Properties of Blockchain -- 1.7.1 Security and Privacy Necessities of Online Business Transaction -- 1.7.2 Secrecy of Connections and Data Privacy -- 1.8 Privacy and Security Practices Employed in Blockchain -- 1.8.1 Mixing -- 1.8.2 Anonymous Signatures -- 1.8.3 Homomorphic Encryption (HE) -- 1.8.4 Attribute-Based Encryption (ABE) -- 1.8.5 Secure Multi-Party Computation (MPC) -- 1.8.6 Non-Interactive Zero-Knowledge (NIZK)…”

Tabla de Contenidos: “…. -- 2.17.7 Case study: short-term memory -- 2.17.8 Case study: Butterworth B., Campbell R., Howard D., "The Uses of Short-Term Memory: A Case Study," The Quarterly Jou... -- 2.18 Exercise -- 2.19 Assessment question -- Further reading -- 3 Data theory and taxonomy of data -- Abbreviations -- 3.1 Introduction -- 3.2 Data as a whole -- 3.2.1 Structured data -- 3.2.2 Semistructured data -- 3.2.3 Unstructured data -- 3.2.4 Quantitative and qualitative data analysis -- 3.2.4.1 Qualitative data -- 3.2.4.1.1 Types of qualitative data -- 3.2.4.1.2 Importance of qualitative data -- 3.2.4.1.3 Role of qualitative data in the industry 4.0 -- 3.2.4.1.4 Main approaches to qualitative data analysis -- 3.2.4.1.5 Steps to qualitative data analysis -- 3.2.4.1.6 Qualitative data collection methods -- 3.2.4.2 Quantitative data -- 3.2.4.2.1 Types of Quantitative Data -- Discrete data -- Continuous data -- Interval data -- Trend analysis -- Conjoint analysis -- TURF analysis -- 3.2.4.2.2 Quantitative data collection methods -- Probability sampling -- Surveys/questionnaires -- Web-based questionnaire -- Mail questionnaire -- Observations -- Document review in quantitative data collection -- 3.3 Views of data -- 3.3.1 Types of statistical analysis -- 3.3.1.1 Descriptive analysis -- 3.3.1.2 Inferential analysis -- 3.3.1.3 Predictive analysis -- 3.3.1.4 Prescriptive analysis -- 3.3.1.5 Exploratory data analysis -- 3.3.1.6 Causal analysis…”