Tabla de Contenidos: “…7.3 Preparing for the FMEA -- 7.4 Barriers to the FMEA Process -- 7.5 FMEA Ground Rules -- 7.6 Using Macros to Improve FMEA Efficiency and Effectiveness -- 7.7 Software FMEA -- 7.8 Software Fault Tree Analysis (SFTA) -- 7.9 Process FMEAs -- 7.10 FMMEA -- Chapter 8 The Reliability Toolbox -- 8.1 The HALT Process -- 8.1.1 Types of Stresses Applied in HALT -- 8.1.2 The Theory behind the HALT Process -- 8.1.3 HALT Testing Liquid Cooled Products -- 8.1.4 Planning for HALT Testing -- 8.2 Highly Accelerated Stress Screening (HASS) -- 8.2.1 Proof of Screen (POS) -- 8.2.2 Burn‐In -- 8.2.3 Environmental Stress Screening (ESS) -- 8.2.4 Economic Impact of HASS -- 8.2.5 The HASA Process -- 8.3 HALT and HASS Test Chambers -- 8.4 Accelerated Reliability Growth (ARG) -- 8.5 Accelerated Early Life Test (ELT) -- 8.6 SPC Tool -- 8.7 FIFO Tool -- References -- Further Reading -- FMEA -- HALT -- HASS -- Quality -- Burn‐in -- ESS -- Up Rating -- Chapter 9 Software Quality Goals and Metrics -- 9.1 Setting Software Quality Goals -- 9.2 Software Metrics -- 9.3 Lines of Code (LOC) -- 9.4 Defect Density -- 9.5 Defect Models -- 9.6 Defect Run Chart -- 9.7 Escaped Defect Rate -- 9.8 Code Coverage -- References -- Further Reading -- Chapter 10 Software Quality Analysis Techniques -- 10.1 Root Cause Analysis -- 10.2 The 5 Whys -- 10.3 Cause and Effect Diagrams -- 10.4 Pareto Charts -- 10.5 Defect Prevention, Defect Detection, and Defensive Programming -- 10.6 Effort Estimation -- Reference -- Further Reading -- Chapter 11 Software Life Cycles -- 11.1 Waterfall -- 11.2 Agile -- 11.3 CMMI -- 11.4 How to Choose a Software Life Cycle -- Reference -- Further Reading -- Chapter 12 Software Procedures and Techniques -- 12.1 Gathering Requirements -- 12.2 Documenting Requirements -- 12.3 Documentation -- 12.4 Code Comments -- 12.5 Reviews and Inspections -- 12.6 Traceability…”

Tabla de Contenidos: “…3.1 Need for Automotive Secure Hardware -- 3.2 Different Types of HSMs -- 3.3 Root of Trust: Security Features Provided by Automotive HSM -- 3.3.1 Secure Boot -- 3.3.2 Secure In‐Vehicle Communication -- 3.3.3 Secure Host Flashing -- 3.3.4 Secure Debug Access -- 3.3.5 Secure Logging -- 3.4 Chapter Summary -- References -- Chapter 4 Need for Automated Security Solutions in the Automotive Software Development Lifecycle -- 4.1 Main Challenges in the Automotive Industry -- 4.2 Automated Security Solutions During the Product Development Phases -- 4.2.1 Static Code Analysis -- 4.2.2 Software Composition Analysis -- 4.2.3 Security Testing -- 4.2.4 Automation and Traceability During Software Development -- 4.3 Solutions During Operations and Maintenance Phases -- 4.3.1 Cybersecurity Monitoring, Vulnerability Management, Incident Response, and OTA Updates -- 4.4 Chapter Summary -- References -- Chapter 5 Static Code Analysis for Automotive Software -- 5.1 Introduction to MISRA and AUTOSAR Coding Guidelines -- 5.2 Problem Statement: MISRA and AUTOSAR Challenges -- 5.3 Solution: Workflow for Code Segmentation, Guideline Policies, and Deviation Management -- 5.3.1 Step 1: Segment the Codebase into Different Categories/Components Based on Risk -- 5.3.2 Step 2: Specify Guideline Policies (Set of Guidelines to Apply) Depending on Risk Categories -- 5.3.3 Step 3: Perform the Scan and Plan the Approach for Prioritization of Findings -- 5.3.4 Step 4: Prioritize Findings Based on the Risk Categories and Guideline Policies and Determine How to Handle Each Finding, e.g. …”

Tabla de Contenidos: “…6.4.3 Analysis of select() -- Obvious waste in select() implementation -- Strategies and principles to fix select() -- 6.4.4 Speeding up select() without changing the API -- 6.4.5 Speeding up select() by changing the API -- 6.5 Avoiding system calls or Kernel Bypass -- 6.5.1 The virtual interface architecture proposal -- 6.5.2 Data Plane Development Kit (DPDK) -- 6.5.3 Single Root I/O Virtualization (SR-IOV) -- 6.6 Radical Restructuring of Operating Systems -- 6.7 Reducing interrupts -- 6.7.1 Avoiding receiver livelock -- 6.8 Conclusions -- 6.9 Exercises -- 7 Maintaining timers -- 7.1 Why timers? …”

Tabla de Contenidos: “…-- 20.3 Reduced Gravity Environment for CombustionStudies -- 20.4 Conclusions -- References -- Chapter_21 Materials Science -- 21.1 Introduction -- 21.2 Scientific Challenges -- 21.3 Specifics of Low-Gravity Platforms and Facilitiesfor Materials Science -- 21.3.1 Parabolic Flights -- 21.3.2 TEXUS Sounding Rocket Processing -- 21.3.3 Long-Duration Microgravity Experiments on ISS -- 21.4 Materials Alloy Selection -- Acknowledgements -- References -- 6 - Current Research in Life Sciences -- Chapter_22 Microbiology/Astrobiology -- 22.1 Radiation Environment -- 22.2 Change in Gravity Environment -- 22.3 Space Flight Experiments and Related GroundSimulations -- References -- Chapter_23 Gravitational Cell Biology -- 23.1 Gravitational Cell Biology -- 23.2 Studies Under Simulated Microgravity -- 23.3 Effects of Simulated Microgravity on Algae,Plant Cells, and Whole Plants -- 23.4 Mammalian Cells in Simulated Microgravity -- References -- Chapter_24 Growing Plants under GeneratedExtra-Terrestrial Environments: Effectsof Altered Gravity and Radiation -- 24.1 Introduction: Plants and Space Exploration -- 24.2 Cellular and Molecular Aspects of the GravityPerception and Response in Real and SimulatedMicrogravity -- 24.2.1 Gravity Perception in Plant Roots: Gravitropism -- 24.2.2 Effects on Cell Growth and Proliferation -- 24.2.3 Effects of Gravity Alteration on Gene Expression -- 24.3 Morpho-Functional Aspects of the Plant Responseto Real and Simulated Microgravity Environments…”

Tabla de Contenidos: “…Intro -- Half Title -- Title Page -- Copyright -- Contents -- Editor Bios -- Contributor Bios -- Acknowledgments -- Introductory Chapter: Asia Finance: The Emergence of Asia Economy and New Development in Finance -- Banking -- Market Developments and Governance Issues -- Sovereign Wealth Funds -- Summary of Individual Chapters in Volume 1 -- Disclaimers -- Part One: Banking -- 1 Risk Rating in Asian Banks -- 1.1 Introduction -- 1.2 PIT Versus Behavior Modeling -- 1.2.1 Transaction Behavior Data -- 1.2.2 Back-Testing -- 1.3 Transaction Behavior Scoring -- 1.3.1 Scoring Process -- 1.3.2 Validation -- 1.4 Simulation and Conclusion -- References -- 2 Private Wealth Management in Asia -- 2.1 Introduction -- 2.2 Global Market Distribution of Private Wealth -- 2.3 Asian Market Distribution of Private Wealth -- 2.4 Asian Private Wealth Management -- 2.5 Asian Centers of Private Wealth Management -- 2.5.1 Hong Kong and Singapore -- 2.5.2 China and India as Emerging Markets -- 2.5.3 Japan's Challenges -- 2.6 Swiss Private Banking Across Asia -- 2.7 Conclusion -- References -- 3 The Banking Networks of Asian Financial Centers -- 3.1 Introduction -- 3.2 The Roots of Asia's Banking Networks -- 3.3 Asia's Leading Financial Centers -- 3.3.1 The View from HSBC -- 3.3.2 The Ranking of Asia's Financial Centers -- 3.4 Asia's Exchanges -- 3.5 China's Financial Centers -- 3.6 Conclusion -- Acknowledgments -- References -- 4 Dynamics of House Prices and Bank Lending in Korea -- 4.1 Introduction -- 4.2 Literature Review -- 4.3 Apartment House Prices and Bank Lending: Stylized Facts in Regional Submarkets of House in Korea -- 4.4 Long-Run Analysis -- 4.5 Short-Run Relationship -- 4.6 Conclusion -- Appendix 1. …”

Tabla de Contenidos: “…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…”

Tabla de Contenidos: “…211 Priya Jindal, Ansh Jindal and Radhika Gambhir -- 13.1 Introduction -- 13.2 Virtual Reality -- 13.3 VR in Education -- 13.4 Conclusion -- 14 Virtual Reality: A Mechanism for Modern Education 229 Deepali Bhatnagar and Adity Boruah -- 14.1 Introduction -- 14.2 What Makes Learning Deep Rooted? -- 14.3 Definition of Virtual Reality -- 14.4 Virtual Reality as an Instructive Tool -- 14.5 Educator and Student Acceptance of VR Use in Education -- 14.6 Statistics of the Usage of Virtual Reality in the Education Sector -- 14.7 Enablers for Teaching with Technology -- 14.8 Virtual Reality in Modern Education: Benefits -- 14.9 Areas of VR Application in Education -- 14.10 Constraints and Challenges in the Path of VR Learning -- 14.11 The Road Ahead -- 14.12 Conclusion -- 15 Application of VR Technology in the Educational Sector -- Opportunities and Challenges 249 Sushmitha Abhishek Rao, Bonnie Rajesh and Rajesh Raut -- 15.1 An Introduction to Virtual Reality -- 15.2 Literature Review -- 15.3 Important Elements of Virtual Reality (VR) -- 15.4 Features of VR -- 15.5 Opportunities of Virtual Reality in Education -- 15.6 Challenges of Virtual Reality in Education -- 15.7 Conclusion -- 16 Is Virtual Reality Really the Future of Learning? …”

Tabla de Contenidos: “…-- 15.3.2 The Architecture and Components of Digital Twins -- 15.3.3 Advantages of Integrating Digital Twins in Manufacturing -- 15.4 Physical Interaction Dynamics in Production Lines -- 15.4.1 The Nature of Physical Interactions -- 15.4.2 The Role of Dynamics in Production Efficiency -- 15.4.3 Challenges in Traditional Simulation Methods -- 15.5 Building the Advanced Real-Time Simulation Framework -- 15.5.1 Core Principles and Design Objectives -- 15.5.2 Data Integration and Processing -- 15.5.2.1 Role of Sensors and IoT -- 15.5.2.2 Algorithmic Foundations for Feedback -- 15.6 Types of Algorithms -- 15.6.1 Pseudocode for Real-Time Adjustments -- 15.6.1.1 Initialization -- 15.6.1.2 Data Collection and Pre-Processing -- 15.6.1.3 Analysis Using Bayesian Inference -- 15.6.1.4 Anomaly Detection and Root Cause Analysis -- 15.6.1.5 Corrective Action Using Gradient Boosting -- 15.6.1.6 Update and Implement -- 15.6.1.7 Continuous Monitoring -- 15.7 Practical Implementations and Case Studies -- 15.7.1 Implementing the Framework: A Step-by-Step Guide -- 15.7.2 Measurable Benefits and Outcomes -- 15.8 Overcoming Challenges and Limitations…”

Tabla de Contenidos: “…5.1 Introduction to Numerical Methods -- 5.2 Errors and their Computation -- 5.2.1 Exact and Approximate Numbers -- 5.2.2 Significant Digits -- 5.2.3 Loss of Significant Digits -- 5.2.4 Rounding off -- 5.2.5 Rules for Rounding off -- 5.2.6 Absolute, Relative and Percentage Errors -- 5.3 Formulas for Errors -- 5.3.1 Relative Error -- 5.3.2 Error Bound for ã -- 5.3.3 Error Propagation -- 5.3.4 Error in Rounding -- 5.3.5 Programming Errors -- 5.3.6 Errors of Numerical Results -- 5.4 Mathematical Pre-requisites -- 5.5 Solution of Algebraic and Transcendental Equations -- 5.5.1 Introduction -- 5.5.2 Zero or Root of a Function -- 5.6 Direct Methods of Solution -- 5.6.1 Descartes' 4 Rule of Signs -- 5.7 Numerical Methods of Solution of Equations of the Form f (x) = 0 -- 5.7.1 Fixed Point Iteration (Successive Approximation) Method -- 5.7.2 Bolzano's5 (Bisection or Interval-Halving) Method -- 5.7.3 Newton-Raphson6 Method -- 5.7.4 Secants Method (or Chords Method) -- 5.7.5 Method of False Position (Regula Falsi) -- Exercise 5.1 -- Chapter 6: Interpolation -- 6.1 Introduction -- 6.1.1 Formula for Errors in Polynomial Interpolation -- 6.2 Interpolation with Equal Intervals -- 6.2.1 Finite Differences -- 6.2.2 Forward (Advancing) Difference Operator D -- 6.2.3 Properties Satisfi ed by D -- 6.2.4 Backward Difference Operator ∇ -- 6.3 Symbolic Relations and Separation of Symbols -- 6.3.1 Factorial Function -- 6.3.2 The Enlargement or Displacement or Shift Operator E -- 6.3.3 The Relations Between D, -, E and 1 -- Exercise 6.1 -- 6.4 Interpolation -- 6.4.1 The Differential Operator D: Relation Between D, -, E and D -- 6.5 Interpolation Formulas for Equal Intervals -- 6.5.1 Newton1-Gregory2 Forward Interpolation Formula -- 6.5.2 Newton-Gregory Backward Interpolation Formula -- Exercise 6.2 -- 6.6 Interpolation with Unequal Intervals -- 6.6.1 Divided Differences…”

Tabla de Contenidos: “…6.4.10 Stage 10: Preparing IBM Tivoli Service Level Advisor -- 6.4.11 Stage 11: Creating offerings -- 6.4.12 Stage 12: Creating SLAs and OLAs -- 6.4.13 Stage 13: SLA reporting -- 6.5 How the SLM solution works in practice -- 6.5.1 Example 1: Component failure without loss of service -- 6.5.2 Example 2: Component failure terminates a service -- 6.5.3 Root cause analysis -- 6.5.4 Assessing the SLM solution -- 6.6 Continuous improvement -- Part 3 Appendixes -- Appendix A. …”

Tabla de Contenidos: “…Euro -- Tabelle 6: Haushaltsnettoäquivalenzeinkommen (monatlich in Euro) -- Tabelle 7: Struktur der Wohnbaubesitzverhältnisse und des Immobilienkreditsystems -- Tabelle 8: Kredite der privaten Haushalte in Milliarden Euro -- Tabelle 9: Kredite von nichtfinanziellen Unternehmen in Milliarden Euro -- Tabelle 10: Aktienumlauf inländischer Emittenten/Nominalwerte in Millionen Euro -- Tabelle 11: Finanzierung nichtfinanzieller Unternehmen in Form von Aktien und sonstigen Beteiligungen - Veränderung zum Vorjahr -- Tabelle 12: Unit Root-Teststatistiken -- Tabelle 13: Autokorrelationskoeffizienten der amerikanischen Immobilienpreise -- Tabelle 14: gefährdete und sichere Städte in Amerika -- Tabelle 15: Regressionsergebnisse der lnverted Demand Funktion für amerikanische Immobilien -- Tabelle 16: Ergebnisse der Bemanke und Gertler Simulation -- Tabelle 17: Ergebnisse der Cecchetti et al. …”

Tabla de Contenidos: “…6.10.14 Case 4: Image-Based Features Extraction in Pavement Cracking Evaluation -- 6.10.15 Automatic Extraction of Crack Features -- 6.10.16 Extraction of Crack Skeleton Using Shearlet Complex Method -- 6.10.17 Calculate Crack Width Feature Using External Multiplication Method -- 6.10.18 Detection of Crack Starting Feature (Crack Core) Using EPA Emperor Penguin Metaheuristic Algorithm -- 6.10.19 Selection of Crack Root Feature Based on Geodetic Distance -- 6.10.20 Determining Coordinates of the Crack Core as the Optimal Center at the Failure Level using EPA Method -- 6.10.21 Development of New Features for Crack Evaluation Based on Graph Energy -- 6.10.22 Crack Homogeneity Feature Based on Graph Energy Theory -- 6.10.23 Spall Type 1 Feature: Crack Based on Graph Energy Theory in Crack Width Mode -- 6.10.24 General Crack Index Based on Graph Energy Theory -- 6.11 Summary and Conclusion -- 6.12 Questions and Exercises -- Further Reading -- Chapter 7 Feature Prioritization and Selection Methods -- 7.1 Introduction -- 7.2 A Variety of Features Selection Methods -- 7.2.1 Filter Methods -- 7.2.2 Correlation Criteria -- 7.2.3 Mutual Information (MI) -- 7.2.4 Wrapper Methods -- 7.2.5 Sequential Feature Selection (SFS) Algorithm -- 7.2.6 Heuristic Search Algorithm (HAS) -- 7.2.7 Embedded Methods -- 7.2.8 Hybrid Methods -- 7.2.9 Feature Selection Using the Fuzzy Entropy Method -- 7.2.10 Hybrid-Based Feature Selection Using the Hierarchical Fuzzy Entropy Method -- 7.2.11 Step 1: Measure Similarity Index and Evaluate Features -- 7.2.12 Step 2: Final Feature Vector -- 7.3 Classification Algorithm Based on Modified Support Vectors for Feature Selection - CDFESVM -- 7.3.1 Methods for Determining the Fuzzy Membership Function in Feature Selection -- 7.4 Summary and Conclusion -- 7.5Questions and Exercises -- Further Reading…”

“…Inspired by ideas from economic theology, this provocative book uncovers deep-rooted religious concepts and shows how they continue to influence contemporary views of work and unemployment…”

“…Analyses to which extent his thought is deeply rooted in classical philosophical doctrines…”

“…The content is strongly rooted in available research, presented in an accessible manner, with a number of business-related case studies…”

“…The former is a modern idea rooted in Haitian Vodou and its popular African and European religious antecedents, while the latter is an ancient one rooted in Zoroastrianism and the Bible and widely expanded in Judaism, Christianity, and Islam, and is arguably one of the most influential ideas in world history. …”

“…To see administrative service as a biblically rooted gift can help those involved in this way of life to find deeper and more satisfying spiritual meaning in what they do…”

“…This book is for practitioners and policy makers involved in grass root policies…”

“…This Infoline describes how to carry out the two distinct analysis processes that go into a front-end analysis: a gap (or performance) analysis and root cause analysis. The first process determines if a performance problem exists. …”

“…This major work offers an historical description and systematic analysis of the root causes of this global economic crisis, which the authors understand as a crisis of western civilization, and provides a comprehensive solution based on theological social justice…”
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