Tabla de Contenidos: “…-- Example -- The general form of a hypothesis test -- The p-value -- The effect of increasing sample size -- The effect of decreasing noise…”

Tabla de Contenidos: “…5 Optical Domain PON Technologies 115 -- 5.1 Introduction 115 -- 5.2 WDMA (Wavelength Division Multiple Access) PON 115 -- 5.2.1 Overview 115 -- 5.2.2 Technologies 116 -- 5.2.3 Applications 120 -- 5.3 CDMA PON 120 -- 5.4 Point-to-Point Ethernet 122 -- 5.5 Subcarrier Multiplexing and OFDM 123 -- 5.5.1 Introduction 123 -- 5.5.2 OFDMA PON 123 -- 5.6 Conclusions 125 -- References 126 -- Further Readings 126 -- 6 Hybrid Fiber Access Technologies 127 -- 6.1 Introduction and Background 127 -- 6.2 Evolution of DOCSIS (Data-Over-Cable Service Interface Specification) to Passive Optical Networks 127 -- 6.2.1 Introduction and Background 127 -- 6.2.2 DOCSIS Provisioning of EPON (DPoE) 128 -- 6.2.3 Conclusions for DPoE 135 -- 6.3 Radio and Radio Frequency Signals over Fiber 135 -- 6.3.1 Radio over Fiber (RoF) 136 -- 6.3.2 Baseband Digital Radio Fiber Interfaces 136 -- 6.3.3 Radio Frequency over Glass (RFoG) 138 -- 6.4 IEEE 802.3bn Ethernet Protocol over Coaxial Cable (EPoC) 140 -- 6.5 Conclusions 140 -- References 141 -- Further Readings 141 -- 7 DSL Technology / Broadband via Telephone Lines 143 -- 7.1 Introduction to DSL 143 -- 7.2 DSL Compared to Other Access Technologies 144 -- 7.2.1 Security and Reliability 144 -- 7.2.2 Point-to-Point Versus Shared Access 145 -- 7.2.3 Common Facilities for Voice and DSL 146 -- 7.2.4 Bit-rate Capacity 146 -- 7.2.5 Hybrid Access 146 -- 7.2.6 Future Trends for DSL Access 146 -- 7.3 DSL Overview 147 -- 7.3.1 Voice-band Modems 147 -- 7.3.2 The DSL Concept 147 -- 7.3.3 DSL Terminology 149 -- 7.3.4 Introduction to DSL Types 151 -- 7.3.5 DSL Performance Improvement, Repeaters, and Bonding 152 -- 7.3.6 Splitters and Filters for Voice and Data 153 -- 7.3.7 Other Ways to Convey Voice and Data 155 -- 7.4 Transmission Channel and Impairments 156 -- 7.4.1 Signal Attenuation 158 -- 7.4.2 Bridged Taps 159 -- 7.4.3 Loading Coils 162 -- 7.4.4 Return Loss and Insertion Loss 163 -- 7.4.5 Balance 163 -- 7.4.6 Intersymbol Interference (ISI) 163 -- 7.4.7 Noise 164.…”

“…They thoroughly address modeling and characterization of on-chip components of PDNs and signal networks, evaluation of power-to-signal coupling coefficients, analysis of Simultaneous Switching Output (SSO) noise, and many other topics. Coverage includes • The exponentially growing challenge of I/O power integrity in high-speed digital systems • PDN noise analysis and its timing impact for single-ended and differential interfaces • Concurrent design and co-simulation techniques for evaluating all power integrity effects on signal integrity • Time domain gauges for designing and optimizing components and systems • Power/signal integrity interaction mechanisms, including power noise coupling onto signal trace and noise amplification through signal resonance • Performance impact due to Inter Symbol Interference (ISI), crosstalk, and SSO noise, as well as their interactions • Validation techniques, including low impedance VNA measurements, power noise measurements, and characterization of power-to-signal coupling effects Power Integrity for I/O Interfaces will be an indispensable resource for everyone concerned with power integrity in cutting-edge digital designs, including system design and hardware engineers, signal and power integrity engineers, graduate students, and researchers…”

Tabla de Contenidos: “…9.2.1 Ein/Aus (On/Off) -- 9.2.2 Zufälliges Flackern (Random Flicker) -- 9.2.3 Zufälliges Blinken (Random Blink) -- 9.2.4 Leuchtturm (Lighthouse) -- 9.2.5 Defektes Licht (Broken Light) -- 9.2.6 Triebwerk-Glühen (Engine Glow) -- 9.2.7 Photon Torpedo -- 9.2.8 Laser-Puls (Laser Pulse) -- 9.2.9 50-%-Blinker + (50% Flasher +) -- 9.2.10 50-%-Blinker - (50% Flasher -) -- 9.2.11 Stroboskop + (Strobe +) -- 9.2.12 Stroboskop - (Strobe -) -- 9.2.13 Gyralite + -- 9.2.14 Gyralite - -- 9.2.15 Audio-moduliert (Sound Modulated) -- 9.2.16 Geschwindigkeits-moduliert (Speed Modulated) -- 9.2.17 Statusanzeige (Status Indicator) -- 9.2.18 Erhöhe Helligkeit (Increase Brightness) -- 9.2.19 Verringerung der Helligkeit (Decrease Brightness) -- 9.2.20 Helligkeitswert setzen (Set Brightness) -- 9.3 Kombinations-Effekte -- 9.3.1 Linearer Durchlauf (Linear Sweep) -- 9.3.2 Balkenanzeige (Bargraph Sweep) -- 9.3.3 Bidirektionaler Durchlauf (Bi-Directional Sweep) -- 9.3.4 Zwillings-Blinker (Twinsonic Flashers) -- 9.3.5 Whelen-Blinker (Whelen Flashers) -- 9.3.6 Times Square -- 9.3.7 Rauschen (Noise) -- 9.3.8 Funkelnde Sterne (Twinkling Stars) -- 9.3.9 Ampeln (Traffic Lights) -- 9.3.10 Pegelanzeige (Sound Bar) -- 9.3.11 Abwechselnde Blinker (Alternating Flashers) -- 9.3.12 Lava-Lampe (Lava Lamp) -- 9.3.13 Laser-Kanone (Laser Cannon) -- 9.3.14 Motorsport-Ampeln -- 9.3.15 Flugleitsignale -- 9.4 Programmierbare Effekte -- 9.4.1 Kommentare -- 9.4.2 Schlüsselwörter -- 9.4.3 Anweisungen für Licht-Effekte -- 9.4.4 Ausführungs-Steuerung -- 9.4.5 Beispiel -- 9.5 Erweiterungen -- 9.5.1 Opto-Isolator-Adapter -- 9.5.2 Treiberplatine für mehr LEDs -- 9.5.3 Lichtleiter-Adapterplatine -- 10 Beleuchtungs­techniken und ­Beispiele -- 10.1 Beleuchtung von Gebäuden -- 10.1.1 Deckenbeleuchtung -- 10.1.2 Stromführung zwischen Stockwerken -- 10.1.3 Verteiler -- 10.1.4 Kabeltunnel…”

Tabla de Contenidos: “…-- How Elements is designed to work -- A typical image editing workflow example -- How I like to edit images -- The five faces of Adobe Photoshop Elements 2024 -- The Home screen -- The Organizer -- The Catalog -- Photo Editor: Quick Edit mode -- Photo Editor: Guided Edit mode -- Photo Editor: Advanced Edit mode -- Working with panels and the Panel Bin -- Panel functions -- The Create and Share menus -- The Enhance menu -- Working with video and Premiere Elements -- Create menu features -- Summary -- Chapter 2: Setting Up Photoshop Elements from Scratch -- Setting up a photo editing computer -- Importing media into the Elements Organizer -- Reviewing your media -- Backing up your media -- Organizing your work: Star Rating photos -- Organizing your work: picture search using Metadata -- Organizing your work: Keyword Tagging -- Organizing your work: Places -- Organizing your work: Events -- Organizing your work: People -- Understanding JPEG, RAW and other file formats -- Saving your files -- Saving Version Sets -- Managing Catalogs -- Digitizing photos with a Scanner -- Digitizing photos with a Camera -- Color management: understanding Color Spaces -- Color management: Color Settings -- Color Management: Screen and Printer Calibration -- Organizer keyboard shortcuts -- Summary -- Chapter 3: The Basics of Image Editing -- The Editing Workflow and Best Practices -- Overview: editing RAW files -- Editing Raw files: the Basic tab -- Editing RAW files: the Detail (sharpening) tab -- Editing RAW files: Noise Reduction -- Editing Raw files: Other features -- 10 ways to open a photo for editing -- Understanding photo Resolution -- Cropping for better composition -- The Straighten Tool…”

Tabla de Contenidos: “…Maintenance and Safety Precautions -- Objective 3.01 Cleaning and Maintenance Procedures -- Liquid Cleaning Compounds -- Clean or Soapy Water -- Denatured Alcohol -- Glass Cleaner -- Vinegar and Water Solution -- Commercial Computer Cleaning Solutions -- Cleaning Tools -- Canned Air -- Lint-Free Cloths -- Brushes and Swabs -- Non-Static Vacuums -- Cleaning the Outside of the PC, Monitor, and Peripherals -- Mice -- Keyboards -- Monitor Screens -- Cleaning Contacts, Connectors, Motherboard, and Components -- Contacts and Connectors -- Motherboards and Components -- Objective 3.02 Component Protection and Storage -- Power Problems -- Saving Your PC from Electrical Problems -- Uninterruptible Power Supplies -- Standby Power Systems -- Online UPS -- Line-Interactive UPS -- Surge Suppressors -- Unplug Your PC -- EMI Noise Filters -- Storing Components for Future Use -- Storage Environment -- Electrical Precautions -- Moisture…”

Tabla de Contenidos: “…-- dealing with measurement noise…”

Tabla de Contenidos: “…Iterative Sigma Filtering -- Constraint-based Methods -- Parametric Estimation -- 4.3.3 High-speed K-space Coverage Techniques -- 4.3.4 Research Opportunities in Dynamic MR Image Reconstruction -- 4.3.5 Suggested Reading Related to Dynamic MR Image Reconstruction -- 4.4 APPLICATIONS OF DYNAMIC MRI -- 4.4.1 Blood Flow -- Fourier Velocity Encoding -- RF Pulses -- Measurement of Wave Speed and Distensibility -- Postprocessing -- Conclusions Related to MR Imaging of Blood Flow -- 4.4.2 Diffusion Imaging -- Measurement of Diffusion Coefficients in vivo -- Mapping of Diffusion Tensor -- 4.4.3 Other Tissue Parameters -- Relaxation Times -- Oxygen -- Strain -- 4.4.4 Functional Brain MRI -- Contrast Mechanism -- Imaging Techniques -- Hardware Requirements -- Field Strength Considerations As discussed above, local field gradients -- Processing of Functional Images -- Safety Considerations -- Biophysical Modeling -- 4.4.5 Multinuclear MRI -- MR Spectroscopy and Spectroscopic Imaging -- Injected Paramagnetic Contrast Agents and Hyperpolarized Noble Gases -- 4.4.6 Microscopic Imaging -- Resolution -- Signal-to-Noise Ratios -- Gradients -- Diffusion -- Motion -- Future Applications of in vivo MRI Microscopy -- 4.4.7 Research Opportunities Related to Applying Dynamic MRI -- Blood Flow -- Diffusion Imaging -- Other Tissue Parameters -- Functional Brain MRI -- Multinuclear MRI -- Microscopic Imaging -- 4.4.8 Suggested Reading on Applications of Dynamic MRI -- Blood Flow -- Diffusion Imaging -- Other Tissue Parameters -- Functional Brain MRI -- Multinuclear MRI -- Microscopic Imaging -- Chapter 5 Single Photon Emission Computed Tomography -- 5.1 INTRODUCTION -- 5.2 PHYSICAL AND INSTRUMENTATION FACTORS THAT AFFECT SPECT IMAGES -- 5.3 SPECT INSTRUMENTATION -- 5.3.1 SPECT System Designs -- 5.3.2 Special Collimators -- 5.3.3 New Radiation Detector Technologies…”

“…Low-noise amplifiers, including cascode common-gate and commonsource topologies, noise-cancelling schemes, and reactance-cancelling configurations Passive and active mixers, including their gain and noise analysis and new mixer topologies Voltage-controlled oscillators, phase noise mechanisms, and various VCO topologies dealing with noisepower-tuning trade-offs All-new coverage of passive devices, such as integrated inductors, MOS varactors, and transformers A chapter on the analysis and design of phase-locked loops with emphasis on low..…”

Tabla de Contenidos: “…Chapter 5 A Review of Innovation to Human Augmentation in Brain-Machine Interface - Potential, Limitation, and Incorporation of AI -- 5.1 Introduction -- 5.2 Technologies in Neuroscience for Recording and Influencing Brain Activity -- 5.2.1 Brain Activity Recording Technologies -- 5.2.1.1 A Non-Invasive Recording Methodology -- 5.2.1.2 An Invasive Recording Methodology -- 5.3 Neuroscience Technology Applications for Human Augmentation -- 5.3.1 Need for BMI -- 5.3.1.1 Need of BMI Individuals for Re-Establishing the Control and Communication of Motor -- 5.3.1.2 Brain-Computer Interface Noninvasive Research at Wadsworth Center -- 5.3.1.3 An Interface of Berlin Brain-Computer: Machine Learning-Dependent of User-Specific Brain States Detection -- 5.4 History of BMI -- 5.5 BMI Interpretation of Machine Learning Integration -- 5.6 Beyond Current Existing Methodologies: Nanomachine Learning BMI Supported -- 5.7 Challenges and Open Issues -- 5.8 Conclusion -- References -- Chapter 6 Resting-State fMRI: Large Data Analysis in Neuroimaging -- 6.1 Introduction -- 6.1.1 Principles of Functional Magnetic Resonance Imaging (fMRI) -- 6.1.2 Resting State fMRI (rsfMRI) for Neuroimaging -- 6.1.3 The Measurement of Fully Connected and Construction of Default Mode Network (DMN) -- 6.2 Brain Connectivity -- 6.2.1 Anatomical Connectivity -- 6.2.2 Functional Connectivity -- 6.3 Better Image Availability -- 6.3.1 Large Data Analysis in Neuroimaging -- 6.3.2 Big Data rfMRI Challenges -- 6.3.3 Large rfMRI Data Software Packages -- 6.4 Informatics Infrastructure and Analytical Analysis -- 6.5 Need of Resting-State MRI -- 6.5.1 Cerebral Energetics -- 6.5.2 Signal to Noise Ratio (SNR) -- 6.5.3 Multi-Purpose Data Sets -- 6.5.4 Expanded Patient Populations -- 6.5.5 Reliability -- 6.6 Technical Development -- 6.7 rsfMRI Clinical Applications…”

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: “…Older adults may over-rely on context when listening in noise -- 3.4. Interim summary -- 4. Findings from cognitive electrophysiology -- 4.1. …”

“…This work deals with the mechanisms of disturbing noises at the electric wheel hub motor and describes a multiphysical model which simulates them. …”

“…Three types of generating functions in the cases of one and two noises are discussed for constructing new schemes…”

“…Mackenzie is no longer able to attend school, is frightened by loud noises, and avoids participating in activities. She longingly says, "I used to do all sorts of stuff."…”

Tabla de Contenidos: “…12.7 Defect Tracking -- 12.8 Software and Hardware Integration -- References -- Further Reading -- Chapter 13 Why Hardware Reliability and Software Quality Improvement Efforts Fail -- 13.1 Lack of Commitment to the Reliability Process -- 13.2 Inability to Embrace and Mitigate Technologies Risk Issues -- 13.3 Choosing the Wrong People for the Job -- 13.4 Inadequate Funding -- 13.5 Inadequate Resources -- 13.6 MIL‐HDBK 217 - Why It Is Obsolete -- 13.7 Finding But Not Fixing Problems -- 13.8 Nondynamic Testing -- 13.9 Vibration Testing Too Difficult to Implement -- 13.10 The Impact of Late Hardware or Late Software Delivery -- 13.11 Supplier Reliability -- Reference -- Further Reading -- Chapter 14 Supplier Management -- 14.1 Purchasing Interface -- 14.2 Identifying Your Critical Suppliers -- 14.3 Develop a Thorough Supplier Audit Process -- 14.4 Develop Rapid Nonconformance Feedback -- 14.5 Develop a Materials Review Board (MRB) -- 14.6 Counterfeit Parts and Materials -- Part III Steps to Successful Implementation -- Chapter 15 Establishing a Reliability Lab -- 15.1 Staffing for Reliability -- 15.2 The Reliability Lab -- 15.3 Facility Requirements -- 15.4 Liquid Nitrogen Requirements -- 15.5 Air Compressor Requirements -- 15.6 Selecting a Reliability Lab Location -- 15.7 Selecting a Halt Test Chamber -- 15.7.1 Chamber Size -- 15.7.2 Machine Overall Height -- 15.7.3 Power Required and Consumption -- 15.7.4 Acceptable Operational Noise Levels -- 15.7.5 Door Swing -- 15.7.6 Ease of Operation -- 15.7.7 Profile Creation, Editing, and Storage -- 15.7.8 Temperature Rates of Change -- 15.7.9 Built‐In Test Instrumentation -- 15.7.10 Safety -- 15.7.11 Time from Order to Delivery -- 15.7.12 Warranty -- 15.7.13 Technical/Service Support -- 15.7.14 Compressed Air Requirements -- 15.7.15 Lighting -- 15.7.16 Customization -- Reference…”

Tabla de Contenidos: “…Chapter 7: Reducing the Attack Surface of Edge Computing IoT Networks via Hybrid Routing Using Dedicated Nodes -- 7.1 Introduction -- 7.2 Related Works -- 7.3 The Solution -- 7.3.1 Inference System of Trusted Time Server -- 7.3.2 Security Features -- 7.3.3 Synchronization with a Trusted Time Server -- 7.3.4 Transit Addresses -- 7.4 Test Methodology and Environment -- 7.4.1 TTS Server and Data Collection for Inference -- 7.4.2 Heterogeneous Network Environment -- Simulation Case 1: -- Simulation Case 2: -- 7.4.3 Graph-based Representation -- 7.5 Case Study -- 7.6 Conclusion -- Notes -- References -- Chapter 8: Early Identification of Mental Health Disorder Employing Machine Learning-based Secure Edge Analytics: A Real-time Monitoring System -- 8.1 Introduction -- 8.2 Traditional Methods Implemented in Edge Computing -- 8.3 Secure Analytics of Smart Healthcare at the Edge -- 8.4 Related Work: Overview of Mobile Applications for Mental Health -- 8.4.1 Anxiety Reliever -- 8.4.2 Anxiety Coach -- 8.4.3 Breath2Relax -- 8.4.4 Happify -- 8.4.5 Head Space -- 8.4.6 Mindshift -- 8.4.7 MoodKit -- 8.4.8 Panic Relief -- 8.4.9 PTSD Coach -- 8.5 Methodologies for Automated Real-Time Mood Detection for Assessing Anxiety and Depression Levels in the Edge with Privacy-Preservation Capability -- 8.5.1 Data Preparation and Pre-processing -- Face-tracking -- 8.5.1.1 Identifying Optic Flow in Facial Regions -- 8.5.2 Pre-processing and Noise Elimination of the Image Data -- 8.5.3 Questionnaire Data Description -- 8.5.4 Proposed Architecture -- 8.5.5 Data Analysis Using AI Techniques -- 8.5.6 Privacy Preservation of the Model -- 8.5.6.1 Federated Learning -- 8.5.7 Model Deployment on Edge Devices -- 8.6 Experimental Results -- 8.6.1 SqlLite Analysis -- 8.6.2 Machine Learning Algorithm Analysis -- 8.6.3 Federated Learning Analysis -- 8.6.4 Comparative Analysis…”

Tabla de Contenidos: “…Front Cover -- Inspection and Monitoring Technologies of Transmission Lines with Remote Sensing -- Copyright Page -- Contents -- Preface -- 1 Parameters and characteristics of transmission lines -- 1.1 General Development and Main Structure of Transmission Lines -- 1.1.1 General Development of High Voltage Transmission Systems-Current Status -- 1.1.2 Structure and Main Parameters of Transmission Lines -- 1.1.2.1 Composition of transmission lines -- 1.1.2.2 Each component and its role -- 1.1.2.2.1 Conductors -- 1.1.2.2.2 Lightning shield wires (overhead ground wires) -- 1.1.2.2.3 Fittings -- 1.1.2.2.4 Insulators -- 1.1.2.2.5 Towers -- 1.1.2.2.6 Guy wires and foundation -- 1.2 Electrical and Mechanical Characteristics -- 1.2.1 Electrical Characteristics -- 1.2.1.1 Power frequency discharging characteristics of typical air gap -- 1.2.1.2 Lightning and switching impulse voltage discharge characteristics of typical gaps -- 1.2.1.3 Discharge characteristics of overhead transmission line air gaps -- 1.2.1.4 Corona characteristics -- 1.2.1.5 Characteristics of noise and radio interference -- 1.2.2 Mechanical Characteristics -- 1.2.2.1 Tower load -- 1.2.2.2 Conductor force -- References -- 2 Remote sensing and remote measurement technology of transmission lines -- 2.1 Infrared Detection Technology -- 2.1.1 Characteristics and Basic Theories of Infrared Detection Technology -- 2.1.1.1 Characteristics of infrared detection technology -- 2.1.1.2 Basic principles of infrared detection -- 2.1.1.3 Brief introduction of the application of infrared detection technology to the power system -- 2.1.2 Infrared Detecting Instrument -- 2.1.2.1 Principles of the infrared detecting instrument -- 2.1.2.2 Examples for infrared detecting instruments -- 2.1.3 Application of Infrared Detection to Line Fault -- 2.1.3.1 Thermal defects of transmission line equipment…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Dedication Page -- Contents -- List of Figures -- List of Tables -- Foreword -- Preface -- Acknowledgments -- Acronyms -- Part 1 Cybersecurity Concept -- 1 Introduction on Cybersecurity -- 1.1 Introduction to Cybersecurity -- 1.2 Cybersecurity Objectives -- 1.3 Cybersecurity Infrastructure and Internet Architecture (NIST) -- 1.4 Cybersecurity Roles -- 1.5 Cybercrimes -- 1.5.1 Overview -- 1.5.2 Traditional Computer Crime and Contemporary Computer Crime -- 1.5.3 Combating Crimes -- 1.5.3.1 Securing Networks -- 1.5.3.2 Incident Response Team -- 1.5.3.3 Detecting Malware -- 1.5.3.4 Authentication and Authorization -- 1.5.3.5 Filtering -- 1.5.3.6 Best Practices -- 1.6 Security Models -- 1.7 Computer Forensics -- 1.8 Cyber Insurance -- 1.8.1 Digital Citizenship -- 1.8.2 Information Warfare and Its Countermeasures -- 1.8.3 Network Neutrality -- 1.8.4 Good Practices and Policies -- 1.8.5 Cybersecurity and Human Rights -- 1.9 Future of Cybersecurity -- 1.10 Conclusion -- References -- 2 Steganography and Steganalysis -- 2.1 Introduction -- 2.2 Steganography -- 2.2.1 Method for Evaluating Hidden Information Schema Security -- 2.2.2 Peak Signal-to-Noise Ratio -- 2.3 Steganalysis -- 2.3.1 Blind Detection Based on LSB -- 2.3.1.1 Standard Deviation Analysis -- 2.3.1.2 Statistical Method X2 with a Degree of Freedom -- 2.3.1.3 Analyzing the Gray Ratio between Any Image and Image Set Up as \Landmark -- 2.3.1.4 Estimating Information Concealed in an Image -- 2.3.2 Constraint Steganalysis -- 2.3.2.1 HKC Hiding Technique -- 2.3.2.2 DIH Technique -- 2.3.2.3 IWH Hiding Technique -- 2.3.2.4 RVH Hiding Technique ( Hiding in Two Phases) -- 2.4 Conclusion -- References -- 3 Security Threats and Vulnerabilities in E-business -- 3.1 Introduction to e-Business -- 3.1.1 Benefits of e-Business -- 3.1.2 Business Revolution…”

Tabla de Contenidos: “…2.5.4 Relative humidity measurement -- 2.5.5 Tilt measurement -- 2.5.6 Other applications -- 2.6 Future trends -- Sources of further information and advice -- References -- 3 - Smart temperature sensors and temperature sensor systems -- 3.1 Introduction -- 3.2 Measuring temperature, temperature differences, and temperature changes in industrial applications -- 3.3 Temperature-sensing elements -- 3.3.1 Introduction -- 3.3.2 Temperature sensor characteristics of bipolar junction transistors -- 3.3.3 ΔVBE temperature sensors -- 3.3.4 Bipolar junction transistors in complementary metal-oxide semiconductor (CMOS) technology -- 3.4 Basic concepts of smart temperature sensors -- 3.4.1 Architectures of smart temperature sensor systems -- 3.4.2 Temperature sensors with a duty-cycle-modulated (DEM) output -- 3.5 Methods to improve the accuracy of CMOS smart temperature-sensor systems -- 3.5.1 Dynamic element matching -- 3.5.2 Chopping -- 3.6 Principles of BJT-based smart temperature sensors with DCM -- 3.7 Signal processing of duty cycle modulated signals -- 3.7.1 Three methods of averaging -- 3.7.1.1 First type of averaging: best accuracy at any speed -- 3.7.1.2 Second type of averaging: simplest method -- 3.7.1.3 Third method of averaging: best accuracy at intermediate and low speeds -- 3.8 Fabrication and test results -- 3.8.1 Fabrication -- 3.8.2 Accuracy over temperature range and supply voltage range -- 3.8.3 Noise -- 3.8.4 Packaging shift and long-term stability -- 3.8.5 Performance summary -- 3.8.6 Simple systems with digital and analog signal processing -- 3.9 Summary -- References -- 4 - Capacitive sensors for displacement measurement in the subnanometer range -- 4.1 Introduction -- 4.2 Challenges for subnanometer displacement measurement with capacitive sensors -- 4.3 Offset capacitance cancellation technique…”