Tabla de Contenidos: “…Arguments en faveur de la prise en charge de l'apprentissage à vie par les pouvoirs publics -- a) Arguments fondés sur l'efficience -- b) Arguments fondés sur l'équité -- Notes -- Chapitre 4. …”

Tabla de Contenidos: “…Nombre total d'opérations de blanchiment effectuées avec l'enzyme Kappazym -- Sélection de l'usine de production -- Tableau 21. Charge de textile (kg) par type de machine et unité de temps -- Résultats -- Tableau 22. …”

Tabla de Contenidos: “…Quelques aspects économiques du droit de la responsabilité et de l'assurance -- Défis -- Encadré illustratif 3. Charte relative à une coopération visant à l'utilisation coordonnée des moyens spatiaux en cas de situations de catastrophe naturelle ou technologique -- Encadré illustratif 4. …”

Tabla de Contenidos: “…Understanding the Transmission Line Impedance Graphically -- 2 - Printed Circuits -- 2.1 BOARD TYPES -- 2.1.1 MATERIALS -- Epoxy Glass -- 2.1.2 TYPE OF CONSTRUCTION -- 2.1.3 CHOICE OF TYPE -- 2.1.4 CHOICE OF SIZE -- Subdivision Boundaries -- Panelization -- 2.1.5 HOW A MULTILAYER BOARD IS MADE -- 2.2 DESIGN RULES -- 2.2.1 TRACK WIDTH AND SPACING -- Conductor Resistance -- Voltage Breakdown and Cross Talk -- Constant Impedance -- 2.2.2 HOLE AND PAD SIZE -- Vias -- Through Hole Pads -- Surface Mount Pads -- 2.2.3 TRACK ROUTING -- 2.2.4 GROUND AND POWER DISTRIBUTION -- Ground Rail Inductance -- Gridded Ground Layout -- The Ground Plane -- Inside or Outside Layers -- Multiple Ground Planes -- 2.2.5 COPPER PLATING AND FINISHING -- 2.2.6 SOLDER RESIST -- Screen-Printed Resists -- Photo-Imaged Film -- 2.2.7 TERMINATIONS AND CONNECTIONS -- Two-Part Connectors -- Edge Connectors -- 2.3 BOARD ASSEMBLY: SURFACE MOUNT AND THROUGH HOLE -- 2.3.1 SURFACE MOUNT DESIGN RULES -- Solder Process -- Printed Circuit Board Quality -- Thermal Stresses -- Cleaning and Testing -- 2.3.2 PACKAGE PLACEMENT -- 2.3.3 COMPONENT IDENTIFICATION -- Polarity Indication -- Guarding -- 2.3.4 UNDERSTANDING THERMAL BEHAVIOR -- Thermal Conduction -- Thermal Convection -- Thermal Radiation -- Thermal Capacity -- Thermal Expansion -- Thermal Shock -- Thermal Cycling -- Solder Cracking -- The Impact of Thermal Stress on Reliability -- 2.4 SURFACE PROTECTION -- Variations in Surface Resistance -- Circuit Design Versus Surface Resistance -- 2.4.1 CONFORMAL COATING -- Coating Versus Encapsulation -- Steps to Take Before Coating -- Application -- Test and Rework -- 2.5 SOURCING BOARDS AND ARTWORK -- 2.5.1 ARTWORK -- Using a Bureau -- Disadvantages of a Bureau -- 2.5.2 BOARDS -- 3 - Passive Components -- 3.1 RESISTORS -- 3.1.1 RESISTOR TYPES -- Surface Mount Chip -- Metal Film -- Carbon…”

Tabla de Contenidos: “…Part 6: Part Of Tens: -- Ten PC Commandments: -- Thou shalt not fear thy PC -- Thou shalt save thy work -- Thou shalt back up thy files -- That shalt not open or delete things unknownst -- Thou shalt not be a sucker -- Thou shalt use antivirus software, yea verily, and keepeth it up-to-date -- Thou shalt upgrade wisely -- Thou shalt compute at a proper posture -- Thou shalt keepeth Windows up-to-date -- Thou shalt properly shut down windows -- Ten Things Worth Buying For Your PC: -- Mouse pad and wrist pad -- External mass storage -- Cleaning materials -- Internal expansion -- USB hub and cables -- Better keyboard and mouse -- Uninterruptible Power Supply (UPS) -- Headset -- Scanner -- Thumb drives and media cards -- Ten Tips From A PC Guru: -- Remember that you're in charge -- Mind who "helps" you -- Give yourself time to learn -- Create separate accounts -- Mind what you download -- Organize your files -- Don't reinstall Windows -- Shun the hype -- Keep on learning -- Remember not to take this computer stuff too seriously -- Index…”

Tabla de Contenidos: “…-- FAQ 8.14: Is bag-of-apple a kind-of bag-of-fruit, assuming bag-of-fruit allows the insertion of any kind-of fruit? -- FAQ 8.15: Is parking-lot-for-cars a kind-of parking-lot-for-arbitrary-vehicles (assuming parking-lot-for-vehicles allows parking any kind-of vehicle)? …”

Tabla de Contenidos: “…From Early thinker to Social Scientists -- 1 Knowledge and Wisdom Across Cultures -- 1.1 Introduction -- 1.2 Unabated Learning and Unbounded Knowledge -- 1.3 Pearls of Wisdom Along Highways of Time -- 1.4 Need for a Modern Science of Knowledge -- 1.5 Inception and Use of Business Machines -- 1.6 Information and its Current Deployment -- 1.6.1 Mostly Human: Senate, Legal, and Judiciary Use -- 1.6.2 Current - Organizational (Un, Church, Religious) -- 1.6.3 Evolving Use of Social Machines -- 1.6.4 Use of Federal and Legal Machines -- 1.7 Internet and Knowledge Revolution -- Conclusions -- References -- 2 From Philosophers to Knowledge Machines -- 2.1 Introduction -- 2.2 From Immanuel Kant to george Herbert Mead -- 2.2.1 Kant as a Meta-Physicist -- 2.2.2 Mead as a Social Psychologist -- 2.3 From Henry Ford to Peter Drucker -- 2.3.1 Ford and Model T Automobiles -- 2.3.2 Drucker and Management Sciences -- 2.3.3 The Unison of Social Sciences and Physical Sciences -- 2.3.4 Machine Architecture from Knowledge Functions -- 2.3.5 Generalization of the Structure of Knowledge Science -- Conclusions -- References -- 3 Affirmative Knowledge and Positive Human Nature -- 3.1 Introduction -- 3.2 Use of Scientific and AI-Based Machines -- 3.2.1 Evolving Use of Knowledge and Internet Machines -- 3.2.2 Incremental Changes in Society -- 3.3 Duality of Natural Forces and Human Traits -- 3.4 THE Fine Side of Human Nature -- 3.4.1 Integrated Changes in Society -- 3.4.2 Gradual Transition in the Knowledge Domain -- 3.4.3 Positive Social Change: Betterment and Enhancement -- Conclusions -- References -- 4 Negative Knowledge and Aggressive Human Nature -- 4.1 Introduction -- 4.2 The Coarse Side of Human Nature…”

Tabla de Contenidos: “…Reprinted from: Molecules 2014, 19(9), 15075-15087 http://www.mdpi.com/1420-3049/19/9/15075 -- Article: Influence of Post-Treatment Operations on Structural Properties and Photocatalytic Activity of Octahedral Anatase Titania Particles Prepared by Zhishun Wei, Ewa Kowalska and Bunsho Ohtani an Ultrasonication-Hydrothermal Reaction Reprinted from: Molecules 2014, 19(12), 19573-19587 http://www.mdpi.com/1420-3049/19/12/19573 -- Takashi Kamegawa, Yasushi Ishiguro, Ryota Kido and Hiromi Yamashita Article: Design of Composite Photocatalyst of TiO2 and Y-Zeolite for Degradation of 2-Propanol in the Gas Phase under UV and Visible Light Irradiation Reprinted from: Molecules 2014, 19(10), 16477-16488 http://www.mdpi.com/1420-3049/19/10/16477 -- Dmitry Selishchev and Denis Kozlov Article: Photocatalytic Oxidation of Diethyl Sulfide Vapor over TiO2-Based Composite Photocatalysts Reprinted from: Molecules 2014, 19(12), 21424-21441 http://www.mdpi.com/1420-3049/19/12/21424 -- Atsuo Yasumori, Sayaka Yanagida and Jun Sawada Article: Preparation of a Titania/X-Zeolite/Porous Glass Composite Photocatalyst Using Hydrothermal and Drop Coating Processes Reprinted from: Molecules 2015, 20(2), 2349-2363 http://www.mdpi.com/1420-3049/20/2/2349 -- Cooper Langford, Maryam Izadifard, Emad Radwan and Gopal Achari Article: Some Observations on the Development of Superior Photocatalytic Systems for Transfer Mechanisms Application to Water Purification by the "Adsorb and Shuttle" or the Interphase Charge Reprinted from: Molecules 2014, 19(12), 19557-19572 http://www.mdpi.com/1420-3049/19/12/19557 -- Sifani Zavahir and Huaiyong Zhu Article: Visible Light Induced Green Transformation of Primary Amines to Imines Using a Silicate Supported Anatase Photocatalyst Reprinted from: Molecules 2015, 20(2), 1941-1954 http://www.mdpi.com/1420-3049/20/2/1941 -- Pushkar Kanhere and Zhong Chen Review: A Review on Visible Light Active Perovskite-Based Photocatalysts Reprinted from: Molecules 2014, 19(12), 19995-20022 http://www.mdpi.com/1420-3049/19/12/19995 -- Yossy Wicaksana, Sanly Liu, Jason Scott and Rose Amal Article: Tungsten Trioxide as a Visible Light Photocatalyst for Volatile Organic Carbon Removal Reprinted from: Molecules 2014, 19(11), 17747-17762 http://www.mdpi.com/1420-3049/19/11/17747 -- Beata Bajorowicz, Anna Cybula, Michal J. …”

Tabla de Contenidos: “…4.2.1.1 Structure and components -- 4.2.1.2 Electrochemical reactions in batteries -- 4.2.2 Battery performance metrics -- 4.2.2.1 Cell, module, and pack level -- 4.2.2.2 Energy density -- 4.2.2.3 Power density -- 4.2.2.4 Specific energy (or gravimetric energy density) -- 4.2.2.5 Specific power (or gravimetric power density) -- 4.2.2.6 Cycle life -- 4.2.2.7 Charge-discharge efficiency -- 4.2.2.8 Self-discharge rate -- 4.2.2.9 Operating temperature -- 4.2.2.10 Impedance -- 4.2.2.11 Round-trip efficiency -- 4.3 Types of Batteries -- 4.3.1 Nickel-cadmium batteries -- 4.3.2 Lead-acid batteries -- 4.3.2.1 Lead-acid battery composition -- 4.3.2.2 Working principle of lead acid battery -- 4.3.2.3 Market perspective -- 4.3.3 Lithium-ion batteries -- 4.3.3.1 Lithium-ion battery composition -- 4.3.3.2 Working principle of lithium-ion battery -- 4.3.3.3 Market perspective -- 4.3.4 Sodium-ion batteries -- 4.3.5 Zinc-air batteries -- 4.4 Supercapacitors -- 4.4.1 Principles and operations -- 4.4.1.1 Electric double-layer capacitance -- 4.4.1.2 Faradaic capacitance -- 4.4.2 Supercapacitor electrode materials -- 4.4.2.1 Electrode materials for EDLC -- 4.4.2.2 Electrode materials for pseudocapacitor -- 4.4.2.3 Electrode materials for hybrid supercapacitor -- 4.5 Types of Supercapacitors -- 4.5.1 Electrochemical double-layer capacitors -- 4.5.2 Pseudocapacitors -- 4.5.3 Hybrid capacitor -- 4.6 Applications of Batteries and Supercapacitors -- 4.6.1 Portable electronics and consumer applications -- 4.6.2 Mobility of the future -- 4.6.2.1 Electric vehicles and hybrid vehicles -- 4.6.2.2 Aerospace applications -- 4.6.3 New energy technologies -- 4.6.3.1 Renewable energy integration…”

Tabla de Contenidos: “…High availability and business continuity for OnDemand Multiplatforms -- 4.1 OnDemand high availability strategies and options -- 4.1.1 High availability: Clustering -- 4.2 Practical procedures for high availability -- 4.2.1 Test case scenario -- 4.2.2 Steps to configure example 1 -- 4.2.3 Steps to configure example 2 -- 4.2.4 HACMP post-configuration procedures -- 4.2.5 Failover tests and results -- 4.3 Business continuity strategies and options -- 4.3.1 Multi-site solutions overview -- 4.3.2 Business continuity configuration examples -- 4.3.3 eRCMF (enterprise Remote Copy Management Facility) -- 4.3.4 Business continuity summary chart -- Chapter 5. Case studies for OnDemand Multiplatforms -- 5.1 Global voice and data communications company -- 5.1.1 Background -- 5.1.2 Backup, recovery, and high availability approach -- 5.2 International financial services company -- 5.2.1 Background…”

Tabla de Contenidos: “…Seriously -- If you're stuck, relax -- Leave the room and go work somewhere else -- Get off the stinkin' computer -- Ignore the little voice that says, "I'm just a hack on crack from Hackensack. -- Go to the store where they sell the stuff…”

Tabla de Contenidos: “…Machine generated contents note: Preface List of Abbreviations 1 Introduction 1.1 Forward Problem 1.2 Inverse Problem 1.3 Issues in Inverse Problem Solving 1.4 Linear, Nonlinear and Linearized Problems 2 Signal and System as Vectors 2.1 Vector Space 2.1.1 Vector Space and Subspace 2.1.2 Basis, Norm and Inner Product 2.1.3 Hilbert Space 2.2 Vector Calculus 2.2.1 Gradient 2.2.2 Divergence 2.2.3 Curl 2.2.4 Curve 2.2.5 Curvature 2.3 Taylor's Expansion 2.4 Linear System of Equations 2.4.1 Linear System and Transform 2.4.2 Vector Space of Matrix 2.4.3 Least Square Solution 2.4.4 Singular Value Decomposition (SVD) 2.4.5 Pseudo-inverse 2.5 Fourier Transform 2.5.1 Series Expansion 2.5.2 Fourier Transform 2.5.3 Discrete Fourier Transform (DFT) 2.5.4 Fast Fourier Transform (FFT) 2.5.5 Two-dimensional Fourier Transform References 3 Basics for Forward Problem 3.1 Understanding PDE using Images as Examples 3.2 Heat Equation 3.2.1 Formulation of Heat Equation 3.2.2 One-dimensional Heat Equation 3.2.3 Two-dimensional Heat Equation and Isotropic Diffusion 3.2.4 Boundary Conditions 3.3 Wave Equation 3.4 Laplace and Poisson Equations 3.4.1 Boundary Value Problem 3.4.2 Laplace Equation in a Circle 3.4.3 Laplace Equation in Three-dimensional Domain 3.4.4 Representation Formula for Poisson Equation References 4 Analysis for Inverse Problem 4.1 Examples of Inverse Problems in Medical Imaging 4.1.1 Electrical Property Imaging 4.1.2 Mechanical Property Imaging 4.1.3 Image Restoration 4.2 Basic Analysis 4.2.1 Sobolev Space 4.2.2 Some Important Estimates 4.2.3 Helmholtz Decomposition 4.3 Variational Problems 4.3.1 Lax-Milgram Theorem 4.3.2 Ritz Approach 4.3.3 Euler-Lagrange Equations 4.3.4 Regularity Theory and Asymptotic Analysis 4.4 Tikhonov Regularization and Spectral Analysis 4.4.1 Overview of Tikhonov Regularization 4.4.2 Bounded Linear Operators in Banach Space 4.4.3 Regularization in Hilbert Space or Banach Space 4.5 Basics of Real Analysis 4.5.1 Riemann Integrable 4.5.2 Measure Space 4.5.3 Lebesgue Measurable Function 4.5.4 Pointwise, Uniform, Norm Convergence and Convergence in Measure 4.5.5 Differentiation Theory References 5 Numerical Methods 5.1 Iterative Method for Nonlinear Problem 5.2 Numerical Computation of One-dimensional Heat equation 5.2.1 Explicit Scheme 5.2.2 Implicit Scheme 5.2.3 Crank-Nicolson Method 5.3 Numerical Solution of Linear System of Equations 5.3.1 Direct Method using LU Factorization 5.3.2 Iterative Method using Matrix Splitting 5.3.3 Iterative Method using Steepest Descent Minimization 5.3.4 Conjugate Gradient (CG) Method 5.4 Finite Difference Method (FDM) 5.4.1 Poisson Equation 5.4.2 Elliptic Equation 5.5 Finite Element Method (FEM) 5.5.1 One-dimensional Model 5.5.2 Two-dimensional Model 5.5.3 Numerical Examples References 6 CT, MRI and Image Processing Problems 6.1 X-ray CT 6.1.1 Inverse Problem 6.1.2 Basic Principle and Nonlinear Effects 6.1.3 Inverse Radon Transform 6.1.4 Artifacts in CT 6.2 MRI 6.2.1 Basic Principle 6.2.2 K-space Data 6.2.3 Image Reconstruction 6.3 Image Restoration 6.3.1 Role of p in (6.35) 6.3.2 Total Variation Restoration 6.3.3 Anisotropic Edge-preserving Diffusion 6.3.4 Sparse Sensing 6.4 Segmentation 6.4.1 Active Contour Method 6.4.2 Level Set Method 6.4.3 Motion Tracking for Echocardiography References 7 Electrical Impedance Tomography 7.1 Introduction 7.2 Measurement Method and Data 7.2.1 Conductivity and Resistance 7.2.2 Permittivity and Capacitance 7.2.3 Phasor and Impedance 7.2.4 Admittivity and Trans-impedance 7.2.5 Electrode Contact Impedance 7.2.6 EIT System 7.2.7 Data Collection Protocol and Data Set 7.2.8 Linearity between Current and Voltage 7.3 Representation of Physical Phenomena 7.3.1 Derivation of Elliptic PDE 7.3.2 Elliptic PDE for Four-electrode Method 7.3.3 Elliptic PDE for Two-electrode Method 7.3.4 Min-max Property of Complex Potential 7.4 Forward Problem and Model 7.4.1 Continuous Neumann-to-Dirichlet Data 7.4.2 Discrete Neumann-to-Dirichlet Data 7.4.3 Nonlinearity between Admittivity and Voltage 7.5 Uniqueness Theory and Direct Reconstruction Method 7.5.1 Calderon's Approach 7.5.2 Uniqueness and Three-dimensional Reconstruction: Infinite Measurements 7.5.3 Nachmann's D-bar Method in Two Dimension 7.6 Backprojection Algorithm 7.7 Sensitivity and Sensitivity Matrix 7.7.1 Perturbation and Sensitivity 7.7.2 Sensitivity Matrix 7.7.3 Linearization 7.7.4 Quality of Sensitivity Matrix 7.8 Inverse Problem of EIT 7.8.1 Inverse Problem of RC Circuit 7.8.2 Formulation of EIT Inverse Problem 7.8.3 Ill-posedness of EIT Inverse Problem 7.9 Static Imaging 7.9.1 Iterative Data Fitting Method 7.9.2 Static Imaging using 4-channel EIT System 7.9.3 Regularization 7.9.4 Technical Difficulty of Static Imaging 7.10 Time-difference Imaging 7.10.1 Data Sets for Time-difference Imaging 7.10.2 Equivalent Homogeneous Admittivity 7.10.3 Linear Time-difference Algorithm using Sensitivity Matrix 7.10.4 Interpretation of Time-difference Image 7.11 Frequency-difference Imaging 7.11.1 Data Sets for Frequency-difference Imaging 7.11.2 Simple Difference Ft,ω2− Ft,ω1 7.11.3 Weighted Difference Ft,ω2− [alpha] Ft,ω1 7.11.4 Linear Frequency-difference Algorithm using Sensitivity Matrix 7.11.5 Interpretation of Frequency-difference Image References 8 Anomaly Estimation and Layer Potential Techniques 8.1 Harmonic Analysis and Potential Theory 8.1.1 Layer Potentials and Boundary Value Problems for Laplace Equation 8.1.2 Regularity for Solution of Elliptic Equation along Boundary of Inhomogeneity 8.2 Anomaly Estimation using EIT 8.2.1 Size Estimation Method 8.2.2 Location Search Method 8.3 Anomaly Estimation using Planar Probe 8.3.1 Mathematical Formulation 8.3.2 Representation Formula References 9 Magnetic Resonance Electrical Impedance Tomography 9.1 Data Collection using MRI 9.1.1 Measurement of Bz 9.1.2 Noise in Measured Bz Data 9.1.3 Measurement of B = (Bx,By,Bz) 9.2 Forward Problem and Model Construction 9.2.1 Relation between J , Bz and σ 9.2.2 Three Key Observations 9.2.3 Data Bz Traces σ∇u © e z-directional Change of σ 9.2.4 Mathematical Analysis toward MREIT Model 9.3 Inverse Problem Formulation using B or J 9.4 Inverse Problem Formulation using Bz 9.4.1 Model with Two Linearly Independent Currents 9.4.2 Uniqueness 9.4.3 Defected Bz Data in a Local Region 9.5 Image Reconstruction Algorithm 9.5.1 J-substitution Algorithm 9.5.2 Harmonic Bz Algorithm 9.5.3 Gradient Bz Decomposition and Variational Bz Algorithm 9.5.4 Local Harmonic Bz Algorithm 9.5.5 Sensitivity Matrix Based Algorithm 9.5.6 Anisotropic Conductivity Reconstruction Algorithm 9.5.7 Other Algorithms 9.6 Validation and Interpretation 9.6.1 Image Reconstruction Procedure using Harmonic Bz Algorithm 9.6.2 Conductivity Phantom Imaging 9.6.3 Animal Imaging 9.6.4 Human Imaging 9.7 Applications References 10 Magnetic Resonance Elastography 10.1 Representation of Physical Phenomena 10.1.1 Overview of Hooke's Law 10.1.2 Strain Tensor in Lagrangian Coordinates 10.2 Forward Problem and Model 10.3 Inverse Problem in MRE 10.4 Reconstruction Algorithms 10.4.1 Reconstruction of [mu] with the Assumption of Local Homogeneity 10.4.2 Reconstruction of [mu] without the Assumption of Local Homogeneity 10.4.3 Anisotropic Elastic Moduli Reconstruction 10.5 Technical Issues in MRE References…”

Tabla de Contenidos: “…The Second Cure -- 7. The Third Cure -- 8. The Fourth Cure -- 9. …”

Tabla de Contenidos: “…Preface xiii Table of Engineering Applications xvii Part 1 Introduction 1 Mathematica Environment and Basic Syntax 3 1.1 Introduction 3 1.2 Selecting Notebook Characteristics 4 1.3 Notebook Cells 8 1.4 Delimiters 12 1.5 Basic Syntax 12 1.5.1 Introduction 12 1.5.2 Templates: Greek Symbols and Mathematical Notation 15 1.5.3 Variable Names and Global Variables 18 1.6 Mathematical Constants 19 1.7 Complex Numbers 21 1.8 Elementary, Trigonometric, Hyperbolic, and a Few Special Functions 22 1.9 Strings 25 1.9.1 String Creation: StringJoin[] and ToString[] 25 1.9.2 Labeled Output: Print[], NumberForm[], EngineeringForm[], and TraditionalForm[] 26 1.10 Conversions, Relational Operators, and Transformation Rule 28 1.11 Engineering Units and Unit Conversions: Quantity[] and UnitConvert[] 30 1.12 Creation of CDF Documents and Documents in Other Formats 33 1.13 Functions Introduced in Chapter 1 34 Exercises 35 2 List Creation and Manipulation: Vectors and Matrices 39 2.1 Introduction 39 2.2 Creating Lists and Vectors 39 2.2.1 Introduction 39 2.2.2 Creating a List with Table[] 45 2.2.3 Summing Elements of a List: Total[] 46 2.2.4 Selecting Elements of a List 47 2.2.5 Identifying List Elements Matching a Pattern: Position[] 49 2.3 Creating Matrices 51 2.3.1 Introduction 51 2.3.2 Matrix Generation Using Table[] 54 2.3.3 Accessing Elements of Arrays 55 2.4 Matrix Operations on Vectors and Arrays 56 2.4.1 Introduction 56 2.4.2 Matrix Inverse and Determinant: Inverse[] and Det[] 57 2.5 Solution of a Linear System of Equations: LinearSolve[] 58 2.6 Eigenvalues and Eigenvectors: EigenSystem[] 59 2.7 Functions Introduced in Chapter 2 61 References 61 Exercises 61 3 User-Created Functions, Repetitive Operations, and Conditionals 69 3.1 Introduction 69 3.2 Expressions and Procedures as Functions 69 3.2.1 Introduction 69 3.2.2 Pure Function: Function[] 74 3.2.3 Module[] 78 3.3 Find Elements of a List that Meet a Criterion: Select[] 80 3.4 Conditionals 82 3.4.1 If[] 82 3.4.2 Which[] 83 3.5 Repetitive Operations 83 3.5.1 Do[] 83 3.5.2 While[] 83 3.5.3 Nest[] 84 3.5.4 Map[] 84 3.6 Examples of Repetitive Operations and Conditionals 85 3.7 Functions Introduced in Chapter 3 92 Exercises 92 4 Symbolic Operations 95 4.1 Introduction 95 4.2 Assumption Options 101 4.3 Solutions of Equations: Solve[] 101 4.4 Limits: Limit[] 105 4.5 Power Series: Series[], Coefficient[], and CoefficientList[] 108 4.6 Optimization: Maximize[]/Minimize[] 112 4.7 Differentiation: D[] 114 4.8 Integration: Integrate[] 120 4.9 Solutions of Ordinary Differential Equations: DSolve[] 126 4.10 Solutions of Partial Differential Equations: DSolve[] 136 4.11 Laplace Transform: LaplaceTransform[] and InverseLaplaceTransform[] 138 4.12 Functions Introduced in Chapter 4 145 References 145 Exercises 146 5 Numerical Evaluations of Equations 151 5.1 Introduction 151 5.2 Numerical Integration: NIntegrate[] 151 5.3 Numerical Solutions of Differential Equations: NDSolveValue[] and ParametricNDSolveValue[] 154 5.4 Numerical Solutions of Equations: NSolve[] 178 5.5 Roots of Transcendental Equations: FindRoot[] 180 5.6 Minimum and Maximum: FindMinimum[] and FindMaximum[] 182 5.7 Fitting of Data: Interpolation[] and FindFit[] 186 5.8 Discrete Fourier Transforms and Correlation: Fourier[], InverseFourier[], and ListCorrelate[] 189 5.9 Functions Introduced in Chapter 5 194 References 195 Exercises 196 6 Graphics 209 6.1 Introduction 209 6.2 2D Graphics 209 6.2.1 Basic Plotting 209 6.2.2 Basic Graph Enhancements 213 6.2.3 Common 2D Shapes: Graphics[] 217 6.2.4 Additional Graph Enhancements 222 6.2.5 Combining Figures: Show[] and GraphicsGrid[] 238 6.2.6 Tooltip[] 241 6.2.7 Exporting Graphics 244 6.3 3D Graphics 244 6.4 Summary of Functions Introduced in Chapter 6 253 References 254 Exercises 254 7 Interactive Graphics 263 7.1 Interactive Graphics: Manipulate[] 263 References 287 Exercises 287 Part 2 Engineering Applications 8 Vibrations of Spring Mass Systems and Thin Beams 293 8.1 Introduction 293 8.2 Single Degree-of-Freedom Systems 294 8.2.1 Periodic Force on a Single Degree-of-Freedom System 294 8.2.2 Squeeze Film Damping and Viscous Fluid Damping 298 8.2.3 Electrostatic Attraction 302 8.2.4 Single Degree-of-Freedom System Energy Harvester 304 8.3 Two Degrees-of-Freedom Systems 307 8.3.1 Governing Equations 307 8.3.2 Response to Harmonic Excitation: Amplitude Response Functions 307 8.3.3 Enhanced Energy Harvester 310 8.4 Thin Beams 315 8.4.1 Natural Frequencies and Mode Shapes of a Cantilever Beam with In-Span Attachments 315 8.4.2 Effects of Electrostatic Force on the Natural Frequency and Stability of a Beam 318 8.4.3 Response of a Cantilever Beam with an In-Span Attachment to an Impulse Force 323 References 326 9 Statistics 327 9.1 Descriptive Statistics 327 9.1.1 Introduction 327 9.1.2 Location Statistics: Mean[], StandardDeviation[], and Quartile[] 327 9.1.3 Continuous Distribution Functions: PDF[] and CDF[] 329 9.1.4 Histograms and Probability Plots: Histogram[] and ProbabilityScalePlot [] 331 9.1.5 Whisker Plot: BoxWhiskerChart[] 332 9.1.6 Creating Data with Specified Distributions: RandomVariate[] 334 9.2 Probability of Continuous Random Variables 334 9.2.1 Probability for Different Distributions: NProbability[] 334 9.2.2 Inverse Cumulative Distribution Function: InverseCDF[] 337 9.2.3 Distribution Parameter Estimation: EstimatedDistribution[] and FindDistributionParameters[] 337 9.2.4 Confidence Intervals: CI[] 340 9.2.5 Hypothesis Testing: LocationTest[] and VarianceTest[] 342 9.3 Regression Analysis: LinearModelFit[] 343 9.3.1 Simple Linear Regression 343 9.3.2 Multiple Linear Regression 347 9.4 Nonlinear Regression Analysis: NonLinearModelFit[] 351 9.5 Analysis of Variance (ANOVA) and Factorial Designs: ANOVA[] 354 9.6 Functions Introduced in Chapter 9 358 10 Control Systems and Signal Processing 359 10.1 Introduction 359 10.2 Model Generation: State-Space and Transfer Function Representation 359 10.2.1 Introduction 359 10.2.2 State-Space Models: StateSpaceModel[] 360 10.2.3 Transfer Function Models: TransferFunctionModel[] 362 10.3 Model Connections Closed-Loop Systems and System Response: SystemsModelFeedbackConnect[] and SystemsModelSeriesConnect[] 363 10.4 Design Methods 369 10.4.1 Root Locus: RootLocusPlot[] 369 10.4.2 Bode Plot: BodePlot[] 371 10.4.3 Nichols Plot: NicholsPlot[] 372 10.5 Signal Processing 374 10.5.1 Filter Models: ButterworthFilterModel[], EllipticFilterModel[], ... 374 10.5.2 Windows: HammingWindow[], HannWindow[], ... 381 10.5.3 Spectrum Averaging 385 10.6 Aliasing 388 10.7 Functions Introduced in Chapter 10 390 Reference 391 11 Heat Transfer and Fluid Mechanics 393 11.1 Introduction 393 11.2 Conduction Heat Transfer 394 11.2.1 One-Dimensional Transient Heat Diffusion in Solids 394 11.2.2 Heat Transfer in Concentric Spheres: Ablation of a Tumor 398 11.2.3 Heat Flow Through Fins 401 11.3 Natural Convection Along Heated Plates 405 11.4 View Factor Between Two Parallel Rectangular Surfaces 408 11.5 Internal Viscous Flow 411 11.5.1 Laminar Flow in Horizontal Cylindrical Pipes 411 11.5.2 Flow in Three Reservoirs 412 11.6 External Flow 416 11.6.1 Pressure Coefficient of a Joukowski Airfoil 416 11.6.2 Surface Profile in Nonuniform Flow in Open Channels 419 References 423 Index 425.…”

Tabla de Contenidos: “…3.4 Electronic Design Automation (EDA) -- 3.4.1 System-Level Design -- 3.4.2 Logic Synthesis and Physical Design -- 3.4.3 Test, Diagnosis, and Validation -- 3.5 Verification -- 3.6 Challenges -- 3.7 Conclusion -- References -- Chapter 4 IoT-Based Smart Home Security Alert System for Continuous Supervision -- 4.1 Introduction -- 4.2 Literature Survey -- 4.3 Results and Discussions -- 4.3.1 Raspberry Pi-3 B+Module -- 4.3.2 Pi Camera -- 4.3.3 Relay -- 4.3.4 Power Source -- 4.3.5 Sensors -- 4.3.5.1 IR &amp -- Ultrasonic Sensor -- 4.3.5.2 Gas Sensor -- 4.3.5.3 Fire Sensor -- 4.3.5.4 GSM Module -- 4.3.5.5 Buzzer -- 4.3.5.6 Cloud -- 4.3.5.7 Mobile -- 4.4 Conclusions -- References -- Chapter 5 A Detailed Roadmap from Conventional-MOSFET to Nanowire-MOSFET -- 5.1 Introduction -- 5.2 Scaling Challenges Beyond 100nm Node -- 5.3 Alternate Concepts in MOFSETs -- 5.4 Thin-Body Field-Effect Transistors -- 5.4.1 Single-Gate Ultrathin-Body Field-Effect Transistor -- 5.4.2 Multiple-Gate Ultrathin-Body Field-Effect Transistor -- 5.5 Fin-FET Devices -- 5.6 GAA Nanowire-MOSFETS -- 5.7 Conclusion -- References -- Chapter 6 Gate All Around MOSFETs-A Futuristic Approach -- 6.1 Introduction -- 6.1.1 Semiconductor Technology: History -- 6.2 Importance of Scaling in CMOS Technology -- 6.2.1 Scaling Rules -- 6.2.2 The End of Planar Scaling -- 6.2.3 Enhance Power Efficiency -- 6.2.4 Scaling Challenges -- 6.2.4.1 Poly Silicon Depletion Effect -- 6.2.4.2 Quantum Effect -- 6.2.4.3 Gate Tunneling -- 6.2.5 Horizontal Scaling Challenges -- 6.2.5.1 Threshold Voltage Roll-Off -- 6.2.5.2 Drain Induce Barrier Lowering (DIBL) -- 6.2.5.3 Trap Charge Carrier -- 6.2.5.4 Mobility Degradation -- 6.3 Remedies of Scaling Challenges -- 6.3.1 By Channel Engineering (Horizontal) -- 6.3.1.1 Shallow S/D Junction -- 6.3.1.2 Multi-Material Gate -- 6.3.2 By Gate Engineering (Vertical)…”

Tabla de Contenidos: “…4 Example Applications -- 5 Conclusions -- References -- Controlling Single Molecule Conjugated Oligomers and Polymers with DNA -- 1 Modular Self-Assembly of Molecular Components -- 2 Conjugated Polymers on DNA Origami -- 3 Work from Other Groups -- 4 Conclusion -- References -- Organizing Charge Flow with DNA -- 1 Origami's Rise -- 2 Making DNA Nanostructures Conductive Through Metallization -- 3 Decorating Origami -- 3.1 DNA Scaffolding for Conductive Metals -- 3.2 DNA Scaffolds for Conductive Polymers -- 3.3 DNA Scaffolds for Carbon Nanotubes -- 3.4 Highly Ordered, Three-Dimensional DNA-CNT Arrays -- 4 The Future of DNA-Organized Electronics -- 4.1 Making DNA More Electronic -- 4.2 Scaffolding Biocompatible Electronic Materials -- References -- DNA Assembly of Dye Aggregates-A Possible Path to Quantum Computing -- 1 Introduction -- 2 The Mathematical Structure of Reality -- 3 Quantum Computers -- 3.1 The Controlled NOT Gate -- 3.2 Quantum Parallelism -- 4 The Frenkel Exciton Hamiltonian -- 5 Energy Eigenvalues of a Homodimer Dye Aggregate and Davydov Splitting -- 6 Coherent Exciton Hopping -- 7 Exciton Transmission Lines -- 8 Representation of an Exciton Qubit -- 9 Basis Change Gates -- 10 Phase Gates -- 11 An Exciton Interferometer -- 12 A Controlled Phase Shift -- 13 A CNOT Gate -- 14 Exciton-Based Quantum Computer Architecture -- 15 But Isn't a Quantum Computer Just an Analog Computer? …”

Tabla de Contenidos: “…. -- Figure 2.29: A selection of coarse stone, shale and struck lithics: a) stone lamp (SF412), b) grinder (SF220), c) spindle whorl (SF2001), d) shale bangle fragment (SF302), e) jet bead fragment (SF01), f) flint arrowhead (SF1017), g) core-rejuvenation flak -- Figure 2.30: Heavy-duty stone maul (SF409). …”

Tabla de Contenidos: “…3.4 Changing the system: Intelligent transport approaches -- 3.4.1 Mobility as a service: Improving mass mobility -- 3.4.2 Taking humans out with automatisation -- 3.5 Changing the city: Moving people safely on a low-carbon budget -- 3.5.1 Sustainable urban mobility planning -- 3.5.2 Integrated urban planning -- 3.5.3 Low emission zones -- 3.5.4 Road user charging -- 3.5.5 Moving people supporting walking and cycling -- 3.5.6 Social innovation to promote sustainable mobility: How does it work? …”

Tabla de Contenidos: “…-- 1.1.3 Applications of OCR -- 1.2 Literature Review -- 1.3 Development Areas -- 1.3.1 React JavaScript (JS) -- 1.3.2 Flask -- 1.4 Existing System -- 1.5 Enhancing Text Extraction Using OCR Tesseract -- 1.6 Unified Modeling Language (UML) Diagram -- 1.6.1 Use Case Diagram -- 1.6.2 Model Architecture -- 1.6.3 Pseudocode -- 1.7 System Requirements -- 1.7.1 Software Requirements -- 1.7.2 Hardware Requirements -- 1.8 Testing -- 1.9 Result -- 1.10 Future Scope -- 1.11 Conclusion -- References -- Chapter 2 Chili Leaf Classification Using Deep Learning Techniques -- 2.1 Introduction -- 2.2 Objectives -- 2.3 Literature Survey -- 2.4 About the Dataset -- 2.5 Methodology -- 2.6 Result -- 2.7 Conclusion and Future Work -- References -- Chapter 3 Fruit Leaf Classification Using Transfer Learning Techniques -- 3.1 Introduction -- 3.2 Literature Review -- 3.3 Methodology -- 3.3.1 Image Preprocessing -- 3.3.2 Data Augmentation -- 3.3.3 Deep Learning Models -- 3.3.4 Accuracy Chart -- 3.3.5 Accuracy and Loss Graph -- 3.4 Conclusion and Future Work -- References -- Chapter 4 Classification of University of California (UC), Merced Land-Use Dataset Remote Sensing Images Using Pre-Trained Deep Learning Models -- 4.1 Introduction -- 4.2 Motivation and Contribution -- 4.2.1 Related Work -- 4.3 Methodology -- 4.3.1 Pre-Trained Models -- 4.3.2 Dataset -- 4.3.3 Training Processes -- 4.4 Experiments and Results -- 4.4.1 VGG Family -- 4.4.2 ResNet Family -- 4.4.2.1 ResNet101 -- 4.4.2.2 ResNet152 -- 4.4.3 MobileNet Family -- 4.4.4 Inception Family -- 4.4.5 Xception Family -- 4.4.6 DenseNet Family -- 4.4.7 NasNet Family -- 4.4.8 EfficientNet Family -- 4.4.9 ResNet Version 2.…”

Tabla de Contenidos: “…Siempre innovar -- 4. Cuatro pasos a seguir -- 5. Saber decir que no. Un momento clave -- 6. …”