Tabla de Contenidos: “…Managing packages -- Dependencies -- Bootstrap dependency -- A better Hello World -- Modules -- Components -- Handling events -- Data binding -- One way -- Two way -- Services -- Routes -- routerLinkActive -- Building a project -- Setup and run sample -- Introduction to PrimeNG -- Summary -- Chapter 10: Angular Forms -- Two approaches to forms -- Template-driven forms -- Reactive forms -- Understanding forms with an example -- Building custom forms with validations -- Checking the state of a form -- Forms with NgModel -- Reactive forms -- Setting up forms with FormBuilder -- Adding validations -- Creating a custom validator -- Grouping controls -- Setting and patching values -- Handling forms in Angular -- Gaining more control with reactive forms -- Summary -- Chapter 11: Building a Real-World Application -- Building an Issue Management System frontend -- Setup -- Structuring the project -- Working independently of the backend -- Data models -- Securing the application -- Issue lists and details -- Rendering data with templates -- Injectable service -- Issue creation and updates -- Reactive forms -- Validation -- Issue comments -- Chatting on an issue -- Production-ready build -- Summary -- Chapter 12: Connecting Angular to Java EE Microservices -- Integration with microservices -- Docker - focusing made easy -- Verifying the running services -- Cross Origin Resource Sharing (CORS) -- JSON communication -- Observables in Angular -- Dynamic updates using Observables -- Going to production -- Deploying on the cloud using AWS -- Launching the Amazon EC2 instance -- Installing Docker on Amazon EC2 -- Docker release -- Summary -- Chapter 13: Testing Java EE Services -- Testing strategies for microservices -- Understanding the testing pyramid -- Unit testing -- Integration testing -- End-End testing -- Microservice testing challenges -- Contract testing…”

Tabla de Contenidos: “…-- Understanding Lines (Not to Cross) -- Conclusion -- Chapter 13: Implementation and Validation -- Vetting Your Operations -- Vetting Deceptions -- Vetting Perceptual Consistency in a Deception -- Vetting Engagements -- Putting This Book to Use with Aid from Professionals -- How to Evaluate Success -- Getting to the End Game -- Conclusion -- Glossary -- Index…”

Tabla de Contenidos: “…Threat of Unemployment -- Quantitative Workload -- Prescription for Overload-Deadline Plus Delay -- Responsibility for Persons -- Responsibility: E -- Responsibility: P -- Role Conflict -- Social Support -- DISCUSSION AND CONCLUSIONS -- 9 Design, Practice, and Standards for VDT Equipment and Work -- PRINCIPLES OF GOOD DESIGN AND PRACTICE -- Image Quality and Display Design -- Lighting and Reflections -- Minimizing Problems Caused by Direct Glare and Transient Adaptation -- Minimizing Reflected Glare and Veiling Reflections -- Systematic Design of VDT Workstations -- General Considerations -- Specific Design and Use Guidelines -- Job Design and Organizational Variables -- Variation in the Task and Task Environment -- Other Strategies for Good Employee Management -- STANDARDS AND GUIDELINES FOR VDT DESIGN -- 10 Research Needs -- EFFECTS OF DISPLAYS ON VISUAL ACTIVITY -- Objective Correlates of Visual Complaints -- Relating Display Characteristics to Workplace Conditions -- Effects of Image Instability -- Distinguishing Specific Effects of VDTs -- PSYCHOSOCIAL STRESSORS -- Appendix A A Review of Methodology in Studies of Visual Functions During VDT Tasks -- Appendix B Review of a Preliminary Report on a Cross-Sectional Survey of VDT Users at the Baltimore Sun -- SUMMARY OF THE NIOSH STUDY -- REVIEW OF THE NIOSH STUDY -- Study Approach and Methods -- Introduction and Background -- Design -- Measures -- Analyses -- Conclusions -- Substantive Conclusions -- Methodological Conclusions and Limitations -- Appendix C Dissent -- Appendix D Biographical Sketches of Panel Members and Staff -- REFERENCES…”

Tabla de Contenidos: “…Drawbacks of structs and UDTs -- Libraries -- Lack of open protocol support -- Cross-referencing -- Overusing UDTs/structs -- Summary -- Section 2 - TIA Portal - Languages, Structures, and Configurations -- Chapter 4: PLC Programming and Languages -- Getting started with languages -- Available languages -- Languages in program blocks -- Different language types -- Selecting the best language -- Understanding the use case -- Memory management -- Differences between Siemens and other PLCs -- Timers -- Valid networks in ladder logic -- GRAPH is not SFC -- Bit access in the byte, Word, and Dword variables -- Summary -- Chapter 5: Working with Languages in TIA Portal -- The control scenario -- Control overview -- Using the HMI -- Languages used in TIA Portal -- Ladder logic -- Function Block Diagram -- Structured Control Language -- GRAPH -- Cause and effect matrix -- Summary -- Chapter 6: Creating Standard Control Objects -- Planning standard interfaces -- Defining variables in an interface -- Large variables in the interface -- Planning standard control interfaces -- Creating control data -- Improving control data accessibility with UDTs -- Example -- Creating HMI data -- Setpoints/parameters -- Structuring logic -- General layout -- Supportive methods -- Considerations that have an impact on usability -- How flexible does the control object need to be? …”

Tabla de Contenidos: “…Focus partitioning: A cross-linguistically unified discourse phenomenon -- 2. …”

Tabla de Contenidos: “…-- Identifying and addressing multi-level governance gaps for effective regional attractiveness policies -- A roadmap to bridge governance gaps in pursuit of regional attractiveness -- Roadmap for effective multi-level governance of attractiveness policies -- Step 1 - Adopt convergent objectives -- Step 2 - Address information asymmetries -- Step 3 - Strengthen the coherence of cross-sectoral policies -- Step 4 - Strengthen the capacity of regional and local actors -- Step 5 - Mobilise all available financial sources in a consistent way -- Step 6 - Ensure transparency of public policy roles and practices -- Step 7 - Involve non-governmental stakeholders -- Step 8 - Adopt policies at the relevant territorial scale by going beyond administrative boundaries -- References -- Notes -- Annex A. …”

Tabla de Contenidos: “…LTRIM() -- RPAD() -- LPAD() -- REPLACE() -- REVERSE() -- SUBSTRING() -- CAST() -- CONCATENATE() -- CONCATENATE_WS() -- UPPER function -- LOWER function -- INITCAP function -- INSTR function -- Summary -- Practical exercises -- Practical exercise 1 -- Practical exercise 2 -- Practical exercise 3 -- Practical exercise 4 -- Chapter 4: Data Wrangling on the DATE Data Type -- SQL DATE data type functions -- EXTRACT -- DATEDIFF() -- TIMEDIFF() -- DATE_ADD() -- DATE_SUB() -- DATE_FORMAT() -- STR_TO_DATE() -- Extracting the current date and time -- Summary -- Chapter 5: Handling NULL Values -- The impact of missing data and NULL values on data analysis -- Understanding the importance of data validation and cleaning before analyzing data -- Identifying NULL/missing values -- NULL values versus zero values -- Using the IS NULL and IS NOT NULL operators to filter and select data with NULL values -- IS NULL() and IS NOT NULL() - scenario -- Using the COALESCE and IFNULL functions to replace NULL values with a default value -- IFNULL() -- COALESCE() -- IS NULL versus = NULL -- Summary -- Chapter 6: Pivoting Data Using SQL -- SQL Transpose - rows to columns -- Use case scenario -- SQL Cross Tab - columns to rows -- Use case scenario -- Unpivoting data in SQL -- Analytical workflow - from SQL to business intelligence - transforming data into actionable insights -- Summary -- Part 3:SQL Subqueries, Aggregate And Window Functions -- Chapter 7: Subqueries and CTEs -- Introduction to subqueries -- Simple subqueries -- Correlated subqueries -- Using subqueries in SELECT statements -- Using subqueries in FROM statements -- Using subqueries in WHERE statements -- Nested subqueries -- Correlated subqueries -- Using subqueries in INSERT, UPDATE, and DELETE statements -- Managing and maintaining subqueries -- Common table expressions…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Foreword -- Contributors -- Table of Contents -- Preface -- Part 1: Attack on BigCo -- Chapter 1: The Attack on BigCo -- BigCo - the attack -- BigCo - cross-team co-ordination -- BigCo - recovery -- BigCo - the anatomy of an attack -- Summary -- Part 2: Security Resilience: Getting the Basics Down -- Chapter 2: Identity and Access Management -- Two-factor authentication and why you need it -- Something you know -- Something you are -- Something you have -- Password complexity and NIST 800-63-3B -- Application security -- Password manager -- Quick reference -- Summary -- Chapter 3: Security Policies -- Where are your policies, and are they being used? …”

Tabla de Contenidos: “…Policy Coalitions in Food Systems Transformation -- 5.1 Introduction -- 5.2 Policy Coalitions and Effectiveness of Collective Action -- 5.3 Vertical Policy Coalitions Along the Value Chains -- 5.4 Cross-Issue Coalitions -- 5.5 Globalization and Transnational Coalitions -- 5.6 Conclusions -- References…”

Tabla de Contenidos: “…Front Cover -- Multi-Dimensional Imaging with Synthetic Aperture Radar -- Copyright -- Contents -- Authors' biographies -- 1 Introduction -- 1.1 Brief history of radar and SAR development -- 1.2 Radar: detection and ranging -- 1.3 Radar imaging -- 1.4 Radar equation -- 1.4.1 Concentrated target -- 1.4.2 Distributed target -- 1.5 Interferometry -- 1.6 Differential SAR interferometry -- 1.7 Advanced differential SAR interferometry -- 1.8 Tomographic SAR for 3-dimensional and multi-dimensional analysis -- 2 Radar principles: ranging and Doppler -- 2.1 Target ranging with a rectangular pulse -- 2.2 Echoes from multiple targets -- 2.3 Chirp compression -- 2.4 Multiple pulses -- 2.5 Doppler effect -- 2.5.1 Effect of the movement of a target on a single echo -- 2.5.2 Analysis on the band pass signal -- 2.5.3 Analysis on the matched filter output -- 2.6 Radar waveforms -- 2.6.1 Continuous wave -- 2.6.2 Stepped frequency -- 2.7 Stretch processing and sampling -- 2.8 MATLAB® examples -- 2.8.1 Doppler analysis -- 3 Scene characterization -- 3.1 Electromagnetic wave polarization -- 3.2 Scattering matrix, scattering coefficient, and radar cross section -- 3.3 Scattering matrix of canonical objects -- 3.4 Stokes parameters and Mueller matrix -- 3.5 Coherent polarimetric decomposition -- 3.6 Scattering models -- 3.6.1 Surface scattering -- Physical optics -- The small perturbation model -- 3.6.2 Volume scattering -- 3.7 Speckle -- 3.7.1 Speckle statistics -- 4 Imaging radar: SAR data acquisition geometry and modes -- 4.1 Acquisition geometry of imaging radars -- 4.2 Resolution of a real aperture radar (RAR) -- 4.3 SAR resolution and Doppler bandwidth -- 4.3.1 Aperture synthesis approach -- 4.3.2 Doppler approach -- 4.4 SAR acquisition impulse response function -- 4.5 SAR data sampling and ambiguities -- 4.6 Acquisition modes…”

Tabla de Contenidos: “…6.3 An Example Using Ansys -- 6.4 Verification of Results -- Summary -- References -- Problems -- 7 Two-Dimensional Elements -- 7.1 Rectangular Elements -- 7.2 Quadratic Quadrilateral Elements -- 7.3 Linear Triangular Elements -- 7.4 Quadratic Triangular Elements -- 7.5 Axisymmetric Elements -- 7.6 Isoparametric Elements -- 7.7 Two-Dimensional Integrals: Gauss-Legendre Quadrature -- 7.8 Examples of Two-Dimensional Elements in Ansys -- Summary -- References -- Problems -- 8 More Ansys -- 8.1 Ansys Program -- 8.2 Ansys Database and Files -- 8.3 Creating a Finite Element Model with Ansys: Preprocessing -- 8.4 h-Method Versus p-Method -- 8.5 Applying Boundary Conditions, Loads, and the Solution -- 8.6 Results of Your Finite Element Model: Postprocessing -- 8.7 Selection Options -- 8.8 Graphics Capabilities -- 8.9 Error-Estimation Procedures -- 8.10 An Example Problem -- Summary -- References -- 9 Analysis of Two-Dimensional Heat Transfer Problems -- 9.1 General Conduction Problems -- 9.2 Formulation with Rectangular Elements -- 9.3 Formulation with Triangular Elements -- 9.4 Axisymmetric Formulation of Three-Dimensional Problems -- 9.5 Unsteady Heat Transfer -- 9.6 Conduction Elements Used by Ansys -- 9.7 Examples Using Ansys -- 9.8 Verification of Results -- Summary -- References -- Problems -- 10 Analysis of Two-Dimensional Solid Mechanics Problems -- 10.1 Torsion of Members with Arbitrary Cross-Section Shape -- 10.2 Plane-Stress Formulation -- 10.3 Isoparametric Formulation: Using a Quadrilateral Element -- 10.4 Axisymmetric Formulation -- 10.5 Basic Failure Theories -- 10.6 Examples Using Ansys -- 10.7 Verification of Results -- Summary -- References -- Problems -- 11 Dynamic Problems -- 11.1 Review of Dynamics -- 11.2 Review of Vibration of Mechanical and Structural Systems -- 11.3 Lagrange's Equations…”

Tabla de Contenidos: “…8.2 Thou Shalt Remember That the Customer Is the One That Pays the Bills -- 8.3 Thou Shalt Never Stop Questioning Everything -- 8.4 Thou Shalt Never End the Improvement Process Because You Think that You Solved the Problem Early -- 8.5 Thou Shalt Always Be Available to Stakeholders, Responding Promptly to Inquiries -- 8.6 Thou Shalt Strive to Meet the Customer Demands Faster, Better, and Cheaper -- 8.7 Thou Shalt Recognize the Importance of the Entire Human Assets to the Process -- 8.8 Thou Shalt Ensure that Improvement Efforts Are Aligned with Corporate Missions and Strategy -- 9 Creating the Goal Statement -- 9.1 Goal Tree -- Part 3 Defining the Boundaries -- 10 Identification of the Supply Chain Partners -- 10.1 Stakeholder Analysis -- 10.2 Voice of the Customer -- 11 The Role of Cross-Functional Teams -- 11.1 Hawthorne Studies -- 11.2 Classical Workplace Teams -- 11.3 Empowered Workplace Teams -- 11.4 The Goal Tree -- 11.4.1 The Evaporating Cloud or Conflict Resolution -- 11.4.2 Mapping -- 11.4.3 Premortem -- 11.4.4 Solutions -- 11.4.5 Team Construction -- 12 Team Roles and Responsibilities -- 12.1 Senior Executive -- 12.2 Executive Committee -- 12.3 Champion (Project) -- 12.4 Process Owner -- 12.5 Master Black Belt -- 12.6 Black Belt -- 12.7 Green Belt -- 12.8 Yellow Belt -- 12.9 White Belt -- Part 4 Identification of the System Constraints -- 13 Establishing the Current Process State -- 13.1 Walk the Walk -- 13.2 Talk the Talk -- 13.3 Take the Gemba Walk -- 13.4 Gemba Walk Key Performance Indicators -- 13.5 The Next Step Upon Completion of the Gemba Walk -- 14 Determining the Future Process State -- 15 Determining the Gap Analysis -- 15.1 Steps to Complete the Gap Analysis -- Part 5 Elevate the System Constraints -- 16 Removing the Non-Value-Added Wastes -- 16.1 Definition of Waste -- 16.1.1 Non-Value-Added Waste #1: Overproduction…”

Tabla de Contenidos: “…The Dot Product of Two Vectors. The Cross Product of Two Vectors in Space. Lines and Planes in Space. …”

Tabla de Contenidos: “…9.2 Medical Imaging Techniques -- 9.2.1 X-Ray Images -- 9.2.2 Computer Tomography Imaging -- 9.2.3 Magnetic Resonance Images -- 9.2.4 Positron Emission Tomography -- 9.2.5 Ultrasound Imaging Techniques -- 9.3 Image Denoising -- 9.3.1 Impulse Noise and Speckle Noise Denoising -- 9.4 Optimization in Image Denoising -- 9.4.1 Particle Swarm Optimization -- 9.4.2 Adaptive Center Pixel Weighted Median Exponential Filter -- 9.4.3 Hybrid Wiener Filter -- 9.4.4 Removal of Noise in Medical Images Using Particle Swarm Optimization -- 9.4.4.1 Curvelet Transform -- 9.4.4.2 PSO With Curvelet Transform and Hybrid Wiener Filter -- 9.4.5 DFOA-Based Curvelet Transform and Hybrid Wiener Filter -- 9.4.5.1 Dragon Fly Optimization Algorithm -- 9.4.5.2 DFOA-Based HWACWMF -- 9.5 Results and Discussions -- 9.5.1 Simulation Results -- 9.5.2 Performance Metric Analysis -- 9.5.3 Summary -- 9.6 Conclusion and Future Scope -- References -- 10 Performance Analysis of Nature-Inspired Algorithms in Breast Cancer Diagnosis -- 10.1 Introduction -- 10.1.1 NIC Algorithms -- 10.2 Related Works -- 10.3 Dataset: Wisconsin Breast Cancer Dataset (WBCD) -- 10.4 Ten-Fold Cross-Validation -- 10.4.1 Training Data -- 10.4.2 Validation Data -- 10.4.3 Test Data -- 10.4.4 Pseudocode -- 10.4.5 Advantages of K-Fold or 10-Fold Cross-Validation -- 10.5 Naive Bayesian Classifier -- 10.5.1 Pseudocode of Naive Bayesian Classifier -- 10.5.2 Advantages of Naive Bayesian Classifier -- 10.6 K-Means Clustering -- 10.7 Support Vector Machine (SVM) -- 10.8 Swarm Intelligence Algorithms -- 10.8.1 Particle Swarm Optimization -- 10.8.2 Firefly Algorithm -- 10.8.3 Ant Colony Optimization -- 10.9 Evaluation Metrics -- 10.10 Results and Discussion -- 10.11 Conclusion -- References -- 11 Applications of Cuckoo Search Algorithm for Optimization Problems -- 11.1 Introduction -- 11.2 Related Works…”

Tabla de Contenidos: “…-- 9.2 Hyperparameter Optimization Techniques -- 9.2.1 Model-Free Algorithms -- 9.2.1.1 Trial-and-Error (Manual Testing) -- 9.2.1.2 Grid Search -- 9.2.1.3 Random Search -- 9.2.2 Gradient-Based Optimization -- 9.2.3 Bayesian Optimization -- 9.2.4 Multifidelity Optimization -- 9.2.4.1 Successive Halving -- 9.2.4.2 Hyperband -- 9.2.5 Metaheuristic Algorithms -- 9.2.5.1 Genetic Algorithm -- 9.2.5.2 Particle Swarm Optimization -- 9.3 Challenges in Hyperparameter Optimization -- 9.4 Concluding Remarks -- References -- Chapter 10 Accuracy Assessment and Model Explainability -- 10.1 Accuracy Assessment -- 10.1.1 Sampling Scheme and Spatial Autocorrelation -- 10.1.2 Sample Size, Scale, and Spatial Variability -- 10.1.3 Adequacy of Training and Testing Data -- 10.1.4 Conventional Accuracy Analysis -- 10.1.5 Accuracy Analysis for Machine Learning -- 10.1.6 Fuzzy Accuracy Assessment -- 10.1.7 Object-Based Accuracy Assessment -- 10.2 Comparison of Thematic Maps -- 10.2.1 McNemar's Test -- 10.2.2 z-Test -- 10.2.3 Wilcoxon Signed-Ranks Test -- 10.2.4 5×2-Cross-Validation t-Test -- 10.2.5 Friedman Test -- 10.3 Explainability Methods -- 10.3.1 SHapley Additive exPlanations -- 10.3.2 Partial Dependence Plot -- 10.3.3 Pairwise Interaction Importance -- 10.3.4 Permutation-Based Feature Importance…”

Tabla de Contenidos: “…8.10.3 Stability of MPC -- Exercises -- Part IV Learning -- Chapter 9 Unsupervised Learning -- 9.1 Chebyshev Bounds -- 9.2 Entropy -- 9.2.1 Categorical Distribution -- 9.2.2 Ising Distribution -- 9.2.3 Normal Distribution -- 9.3 Prediction -- 9.3.1 Conditional Expectation Predictor -- 9.3.2 Affine Predictor -- 9.3.3 Linear Regression -- 9.4 The Viterbi Algorithm -- 9.5 Kalman Filter on Innovation Form -- 9.6 Viterbi Decoder -- 9.7 Graphical Models -- 9.7.1 Ising Distribution -- 9.7.2 Normal Distribution -- 9.7.3 Markov Random Field -- 9.8 Maximum Likelihood Estimation -- 9.8.1 Categorical Distribution -- 9.8.2 Ising Distribution -- 9.8.3 Normal Distribution -- 9.8.4 Generalizations -- 9.9 Relative Entropy and Cross Entropy -- 9.9.1 Gibbs' Inequality -- 9.9.2 Cross Entropy -- 9.10 The Expectation Maximization Algorithm -- 9.11 Mixture Models -- 9.12 Gibbs Sampling -- 9.13 Boltzmann Machine -- 9.14 Principal Component Analysis -- 9.14.1 Solution -- 9.14.2 Relation to Rank‐Constrained Optimization -- 9.15 Mutual Information -- 9.15.1 Channel Model -- 9.15.2 Orthogonal Case -- 9.15.3 Nonorthogonal Case -- 9.15.4 Relationship to PCA -- 9.16 Cluster Analysis -- Exercises -- Chapter 10 Supervised Learning -- 10.1 Linear Regression -- 10.1.1 Least‐Squares Estimation -- 10.1.2 Maximum Likelihood Estimation -- 10.1.3 Maximum a Posteriori Estimation -- 10.2 Regression in Hilbert Spaces -- 10.2.1 Infinite‐Dimensional LS Problem -- 10.2.2 The Kernel Trick -- 10.3 Gaussian Processes -- 10.3.1 Gaussian MAP Estimate -- 10.3.2 The Kernel Trick -- 10.4 Classification -- 10.4.1 Linear Regression -- 10.4.2 Logistic Regression -- 10.5 Support Vector Machines -- 10.5.1 Hebbian Learning -- 10.5.2 Quadratic Programming Formulation -- 10.5.3 Soft Margin Classification -- 10.5.4 The Dual Problem -- 10.5.5 Recovering the Primal Solution -- 10.5.6 The Kernel Trick…”

Tabla de Contenidos: “…10.2.1 Tightening bounds -- 10.2.2 Simplifying a single integer constraint to another single integer constraint -- 10.2.3 Simplifying a single integer constraint to a collection of integer constraints -- 10.2.4 Simplifying collections of constraints -- 10.2.5 Discontinuous variables -- 10.2.6 An alternative formulation for disjunctive constraints -- 10.2.7 Symmetry -- 10.3 Economic information obtainable by integer programming -- 10.4 Sensitivity analysis and the stability of a model -- 10.4.1 Sensitivity analysis and integer programming -- 10.4.2 Building a stable model -- 10.5 When and how to use integer programming -- Chapter 11 The implementation of a mathematical programming system of planning -- 11.1 Acceptance and implementation -- 11.2 The unification of organizational functions -- 11.3 Centralization versus decentralization -- 11.4 The collection of data and the maintenance of a model -- Part II -- Chapter 12 The problems -- 12.1 Food manufacture 1 -- 12.2 Food manufacture 2 -- 12.3 Factory planning 1 -- 12.4 Factory planning 2 -- 12.5 Manpower planning -- 12.5.1 Recruitment -- 12.5.2 Retraining -- 12.5.3 Redundancy -- 12.5.4 Overmanning -- 12.5.5 Short-time working -- 12.6 Refinery optimisation -- 12.6.1 Distillation -- 12.6.2 Reforming -- 12.6.3 Cracking -- 12.6.4 Blending -- 12.7 Mining -- 12.8 Farm planning -- 12.9 Economic planning -- 12.10 Decentralisation -- 12.11 Curve fitting -- 12.12 Logical design -- 12.13 Market sharing -- 12.14 Opencast mining -- 12.15 Tariff rates (power generation) -- 12.16 Hydro power -- 12.17 Three-dimensional noughts and crosses -- 12.18 Optimising a constraint -- 12.19 Distribution 1 -- 12.20 Depot location (distribution 2) -- 12.21 Agricultural pricing -- 12.22 Efficiency analysis -- 12.23 Milk collection -- 12.24 Yield management -- 12.25 Car rental 1 -- 12.26 Car rental 2.…”

Tabla de Contenidos: “…Intro -- Vibroacoustic Simulation -- Contents -- Preface -- Acknowledgments -- Acronyms -- 1 Linear Systems, Random Process and Signals -- 1.1 The Damped Harmonic Oscillator -- 1.1.1 Homogeneous Solutions -- 1.1.2 The Overdamped Oscillator ( &gt -- 1) -- 1.1.3 The Underdamped Oscillator ( &lt -- 1) -- 1.1.4 The Critically Damped Oscillator ( = 1) -- 1.2 Forced Harmonic Oscillator -- 1.2.1 Frequency Response -- 1.2.2 Energy, Power and Impedance -- 1.2.3 Impedance and Response Functions -- 1.2.4 Damping -- 1.2.5 Damping in Real Systems -- 1.3 Two Degrees of Freedom Systems (2DOF) -- 1.3.1 Natural Frequencies of the 2DOF System -- 1.4 Multiple Degrees of Freedom Systems MDOF -- 1.4.1 Assembling the Mass Matrix -- 1.4.2 Assembling the Stiffness Matrix -- 1.4.3 Power Input into MDOF Systems -- 1.4.4 Normal Modes -- 1.5 Random Process -- 1.5.1 Probability Function -- 1.5.2 Correlation Coefficient -- 1.5.3 Correlation Functions for Random Time Signals -- 1.5.4 Fourier Analysis of Random Signals -- 1.5.5 Estimation of Power and Cross Spectra -- 1.6 Systems -- 1.6.1 SISO-System Response in Frequency Domain -- 1.6.2 System Response in Time Domain -- 1.6.3 Systems Excited by Random Signals -- 1.7 Multiple-input-multiple-output Systems -- 1.7.1 Multiple Random Inputs -- 1.7.2 Response of MIMO Systems to Random Load -- Bibliography -- 2 Waves in Fluids -- 2.1 Introduction -- 2.2 Wave Equation for Fluids -- 2.2.1 Conservation of Mass -- 2.2.2 Newton's law - Conservation of Momentum -- 2.2.3 Equation of State -- 2.2.4 Linearized Equations -- 2.2.5 Acoustic Wave Equation -- 2.3 Solutions of theWave Equation -- 2.3.1 Harmonic Waves -- 2.3.2 Helmholtz equation -- 2.3.3 Field Quantities: Sound Intensity, Energy Density and Sound Power -- 2.3.4 Damping in Waves -- 2.4 Fundamental Acoustic Sources -- 2.4.1 Monopoles - Spherical Sources…”

Tabla de Contenidos: “…Front Cover -- Advanced Methods and Deep Learning in Computer Vision -- Copyright -- Contents -- List of contributors -- About the editors -- Preface -- 1 The dramatically changing face of computer vision -- 1.1 Introduction - computer vision and its origins -- 1.2 Part A - Understanding low-level image processing operators -- 1.2.1 The basics of edge detection -- 1.2.2 The Canny operator -- 1.2.3 Line segment detection -- 1.2.4 Optimizing detection sensitivity -- 1.2.5 Dealing with variations in the background intensity -- 1.2.6 A theory combining the matched filter and zero-mean constructs -- 1.2.7 Mask design-other considerations -- 1.2.8 Corner detection -- 1.2.9 The Harris `interest point' operator -- 1.3 Part B - 2-D object location and recognition -- 1.3.1 The centroidal profile approach to shape analysis -- 1.3.2 Hough-based schemes for object detection -- 1.3.3 Application of the Hough transform to line detection -- 1.3.4 Using RANSAC for line detection -- 1.3.5 A graph-theoretic approach to object location -- 1.3.6 Using the generalized Hough transform (GHT) to save computation -- 1.3.7 Part-based approaches -- 1.4 Part C - 3-D object location and the importance of invariance -- 1.4.1 Introduction to 3-D vision -- 1.4.2 Pose ambiguities under perspective projection -- 1.4.3 Invariants as an aid to 3-D recognition -- 1.4.4 Cross ratios: the `ratio of ratios' concept -- 1.4.5 Invariants for noncollinear points -- 1.4.6 Vanishing point detection -- 1.4.7 More on vanishing points -- 1.4.8 Summary: the value of invariants -- 1.4.9 Image transformations for camera calibration -- 1.4.10 Camera calibration -- 1.4.11 Intrinsic and extrinsic parameters -- 1.4.12 Multiple view vision -- 1.4.13 Generalized epipolar geometry -- 1.4.14 The essential matrix -- 1.4.15 The fundamental matrix -- 1.4.16 Properties of the essential and fundamental matrices…”

Tabla de Contenidos: “…Estimación -- 8.2.2. Validación Cruzada (Cross validation) -- 8.2.3. Cálculo con R -- 8.3. …”
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