Tabla de Contenidos: “…6.9 Markov Sequence -- 6.10 Markov Process -- 6.11 Random Sequences -- 6.11.1 Bernoulli Sequence -- 6.11.2 Bernoulli Scheme -- 6.11.3 Independent Sequences -- 6.11.4 Bernoulli Random Walk -- 6.11.5 Binomial Counting Sequence -- 6.12 Random Processes -- 6.12.1 Poisson Counting Process -- 6.12.2 Random Telegraph Signal -- 6.12.3 Wiener Process -- 6.12.4 Gaussian Process -- 6.12.5 Pulse Amplitude Modulation -- 6.12.6 Random Sine Signals -- Problems -- Further Reading -- 7 Stochastic Convergence, Calculus, and Decompositions -- 7.1 Introduction -- 7.2 Stochastic Convergence -- 7.3 Laws of Large Numbers -- 7.4 Central Limit Theorem -- 7.5 Stochastic Continuity -- 7.6 Derivatives and Integrals -- 7.7 Differential Equations -- 7.8 Difference Equations -- 7.9 Innovations and Mean-Square Predictability -- 7.10 Doob-Meyer Decomposition -- 7.11 Karhunen-Lo`eve Expansion -- Problems -- Further Reading -- 8 Systems, Noise, and Spectrum Estimation -- 8.1 Introduction -- 8.2 Correlation Revisited -- 8.3 Ergodicity -- 8.4 Eigenfunctions of RXX(τ) -- 8.5 Power Spectral Density -- 8.6 Power Spectral Distribution -- 8.7 Cross-Power Spectral Density -- 8.8 Systems with Random Inputs -- 8.8.1 Nonlinear Systems -- 8.8.2 Linear Systems -- 8.9 Passband Signals -- 8.10 White Noise -- 8.11 Bandwidth -- 8.12 Spectrum Estimation -- 8.12.1 Periodogram -- 8.12.2 Smoothed Periodogram -- 8.12.3 Modified Periodogram -- 8.13 Parametric Models -- 8.13.1 Autoregressive Model -- 8.13.2 Moving-Average Model -- 8.13.3 Autoregressive Moving-Average Model -- 8.14 System Identification -- Problems -- Further Reading -- 9 Sufficient Statistics and Parameter Estimation -- 9.1 Introduction -- 9.2 Statistics -- 9.3 Sufficient Statistics -- 9.4 Minimal Sufficient Statistic -- 9.5 Exponential Families -- 9.6 Location-Scale Families -- 9.7 Complete Statistic -- 9.8 Rao-Blackwell Theorem…”

Tabla de Contenidos: “…6.3.9 Euler Number Feature (ENF) -- 6.3.10 Profiles Feature (PRF) -- 6.4 1D Function-Based Features for Shape Representation -- 6.4.1 Complex Coordinates Feature (CCF) -- 6.4.2 Extracting Edge Characteristics Using Complex Coordinates -- 6.4.3 Edge Detection Using Even and Odd Shearlet Symmetric Generators -- 6.4.4 Object Detection and Isolation Using the Shearlet Coefficient Feature (SCF) -- 6.5 Polygonal-Based Features (PBF) -- 6.6 Spatial Interrelation Feature (SIF) -- 6.7 Moments Features (MFE) -- 6.8 Scale Space Approaches for Feature Extraction (SSA) -- 6.9 Shape Transform Features (STF) -- 6.9.1 Radon Transform Features (RTF) -- 6.9.2 Linear Radon Transform -- 6.9.3 Translation of RT -- 6.9.4 Scaling of RT -- 6.9.5 Point and Line Transform Using RT -- 6.9.6 RT in Sparse Objects -- 6.9.7 Point and Line in RT -- 6.10 Various Case-Based Examples in Infrastructures Management -- 6.10.1 Case 1: Feature Extraction from Polypropylene Modified Bitumen Optical Microscopy Images -- 6.10.2 Ratio of Number of Black Pixels to the Number of Total Pixels (RBT) -- 6.10.3 Ratio of Number of Black Pixels to the Number of Total Pixels in Watershed Segmentation (RWS) -- 6.10.4 Number and Average Area of the White Circular Objects in the Binary Image (The number of circular objects [NCO] &amp -- ACO) -- 6.10.5 Entropy of the Image -- 6.10.6 Radon Transform Maximum Value (RTMV) -- 6.10.7 Entropy of Radon Transform (ERT) -- 6.10.8 High Amplitude Radon Percentage (HARP) -- 6.10.9 High-Energy Radon Percentage (HERP) -- 6.10.10 Standard Deviation of Radon Transform (STDR) -- 6.10.11 Qth-Moment of Radon Transform (QMRT) -- 6.10.12 Case 2: Image-Based Feature Extraction for Pavement Skid Evaluation -- 6.10.13 Case 3: Image-Based Feature Extraction for Pavement Texture Drainage Capability Evaluation…”

Tabla de Contenidos: “…6.3.3.2 Short Period -- 6.3.3.3 Third Oscillatory Mode -- 6.3.3.4 Roll Subsidence -- 6.3.3.5 Dutch Roll -- 6.3.3.6 Spiral -- 6.4 Aircraft Lift and Drag Estimation -- 6.4.1 Fuselage Lift and Moment Coefficients -- 6.4.2 Wing-Tail Interference Effects -- 6.4.3 Estimating the Wing's Maximum Lift Coefficient -- 6.4.4 Drag Estimation -- 6.5 Estimating the Longitudinal Aerodynamic Derivatives -- 6.6 Estimating the Lateral Aerodynamic Derivatives -- 6.7 Perturbation Analysis of Trimmed Flight -- 6.7.1 Perturbation Analysis of Longitudinal Trimmed Flight -- 6.7.2 Perturbation Analysis of Lateral Trimmed Flight -- 6.7.2.1 Control Settings for Steady Sideslip -- 6.7.2.2 Control Settings for Turn Coordination and Banking -- 6.7.3 Perturbations of Coupled Trimmed Flight -- 6.7.4 Simplified Analysis of Complex Manoeuvres: The Sidestep Manoeuvre -- Chapter Highlights -- Exercises -- Answers to Selected Exercises -- Note -- References -- Chapter 7 Aircraft Dynamic Response: Numerical Simulation and Non-Linear Phenomenon -- 7.1 Introduction -- 7.2 Longitudinal and Lateral Modal Equations -- 7.3 Methods of Computing Aircraft Dynamic Response -- 7.3.1 Laplace Transform Method -- 7.3.2 Aircraft Response Transfer Functions -- 7.3.3 Direct Numerical Integration -- 7.4 System Block Diagram Representation -- 7.4.1 Numerical Simulation of Flight Using MATLAB[sup(®)]/Simulink[sup(®)] -- 7.5 Atmospheric Disturbance: Deterministic Disturbances -- 7.6 Principles of Random Atmospheric Disturbance Modelling -- 7.6.1 White Noise: Power Spectrum and Autocorrelation -- 7.6.2 Linear Time-Invariant System with Stochastic Process Input -- 7.7 Application to Atmospheric Turbulence Modelling -- 7.8 Aircraft Non-Linear Dynamic Response Phenomenon -- 7.8.1 Aircraft Dynamic Non-Linearities and Their Analysis -- 7.8.2 High-Angle-of-Attack Dynamics and Its Consequences…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgements -- Part 1: Fundamentals -- Chapter 1 Digital Twin Technology: Necessity of the Future in Education and Beyond -- 1.1 Introduction -- 1.2 Digital Twins in Education -- 1.2.1 Virtual Reality for Immersive Learning -- 1.2.2 Delivery of Remote Education -- 1.2.3 Replication of Real-World Scenarios -- 1.2.4 Promote Intelligences and Personalization -- 1.3 Examples and Case Studies -- 1.3.1 Examples of DTT in Education -- 1.3.2 Digital Twin-Based Educational Systems -- 1.4 Discussion -- 1.5 Challenges and Limitations -- 1.5.1 Technical Challenges -- 1.5.2 Pedagogical Challenges -- 1.5.3 Ethical and Privacy Concerns -- 1.5.4 Future Research Directions -- 1.6 Conclusion -- References -- Chapter 2 An Intersection Between Machine Learning, Security, and Privacy -- 2.1 Introduction -- 2.2 Machine Learning -- 2.2.1 Overview of Machine Learning -- 2.2.2 Machine Learning Stages: Training and Inference -- 2.3 Threat Model -- 2.3.1 Attack Model of Machine Learning -- 2.3.2 Trust Model -- 2.3.3 Machine Learning Capabilities in a Differential Environment -- 2.3.4 Opposite Views of Machine Learning in Security -- 2.4 Training in a Differential Environment -- 2.4.1 Achieving Integrity -- 2.5 Inferring in Adversarial Attack -- 2.5.1 Combatants in the White Box Model -- 2.5.2 Insurgencies in the Black Box Model -- 2.6 Machine Learning Methods That Are Sustainable, Private, and Accountable -- 2.6.1 Robustness of Models to Distribution Drifts -- 2.6.2 Learning and Inferring With Privacy -- 2.6.3 Fairness and Accountability in Machine Learning -- 2.7 Conclusion -- References -- Chapter 3 Decentralized, Distributed Computing for Internet of Things-Based Cloud Applications -- 3.1 Introduction to Volunteer Edge Cloud for Internet of Things Utilising Blockchain…”

“…By discussing alternatives histories of the digital humanities that address queer gaming, feminist game studies praxis, Cold War military-industrial complex computation, the creation of the environmental humanities, monolingual discontent in DH, the hidden history of DH in English studies, radical media praxis, cultural studies and DH, indigenous futurities, Pacific Rim postcolonial DH, the issue of scale and DH, the radical, indigenous, feminist histories of the digital database, and the possibilities for an antifascist DH, this collection hopes to re-set discussions of the straight, white origin myths of DH. Thus, this collection hopes to reexamine the silences in such a straight and white masculinist history and delineates how power comes into play to shape this straight, white DH narrative. …”

Tabla de Contenidos: “…-- 5.2.1 Procesclassificaties -- 5.2.2 Procesharmonisatie bij SBR -- 5.2.3 Black box, white box -- 5.2.4 Van Business- naar IT-proces -- 5.3 Wat is een goed proces? …”

Tabla de Contenidos: “…5.1 Choosing Algorithmic Components to Work With Compilers and Architectures -- 6 Power Optimization -- 4 Basic Programming Techniques -- 1 Introduction -- 2 Reference Platform Overview -- 2.1 Understanding Hardware -- 3 SDK Installation -- 3.1 Download and Installation -- 3.2 Building a Project -- 3.3 Debugging the Project -- 4 Target System Configuration and Initialization -- 4.1 System Reset -- 4.2 Clock Configuration -- 4.3 I/O Pin Configuration -- 4.4 I/O Pin Initialization -- 4.5 SDK I/O Helper Routines -- 5 Programming Examples -- 5.1 General Purpose I/O-Blinking LED -- 5.2 Basic Serial I/O-Polled UART Send/Receive -- 5.3 Overview of Interrupt Handlers -- 5.4 Basic Timer Operation-Low-Power Timer (LPTMR) -- 6 Summary -- Questions and Answers -- 5 Programming and Implementation Guidelines -- 1 Introduction -- 1.1 Principles of High-Quality Programming -- 1.1.1 Readability -- 1.1.2 Maintainability -- 1.1.3 Testability -- 1.2 What Sets Embedded Apart From General Programming -- 2 Starting the Embedded Software Project -- 2.1 Hardware Platform Input -- 2.2 Project Files/Organization -- 2.2.1 Source Files Written Locally -- 2.2.2 Source Files From Company Libraries -- 2.2.3 Libraries From Third Parties -- 2.2.4 Libraries From Compiler/Linker Toolsets -- 2.3 Team Programming Guidelines -- 2.4 Syntax Standard -- 2.4.1 Code WhiteSpace -- 2.4.2 Tabs in Source Files -- 2.4.3 Alignment Within Source -- 2.5 Safety Requirements in Source Code -- 3 Variable Structure -- 3.1 Variable Declarations -- 3.1.1 Global Variables -- 3.1.2 File-Scope Variables -- 3.1.3 Local Variables -- 3.2 Data Types -- 3.3 Definitions -- 3.3.1 Conditional Compilation -- 3.3.2 #Define -- Content Learning Exercises -- 6 Operating Systems -- 1 Foreground/Background Systems -- 2 Real-Time Kernels…”

Tabla de Contenidos: “…OMEC, Towards Cloud Native and 5G Service-Based Architecture 184 -- 7.4.1 High Volume ServerśÖ Software and Hardware Optimization for Packet Processing 188 -- 7.4.1.1 Data Plane Development Kit 188 -- 7.4.1.2 Flow Classification Bottleneck 190 -- 7.4.1.3 Cuckoo Hashing for Efficient Table Utilization 190 -- 7.4.1.4 Intel Resource Director Technology 192 -- 7.5 Part III: Software-Defined Disaggregated RAN 193 -- 7.5.1 RAN Disaggregation 193 -- 7.5.2 Software-Defined RAN Control 194 -- 7.6 Part IV: White-Box Solutions for Compute, Storage, Access, and Networking 197 -- 7.7 Part V: Edge Cloud Deployment Options 200 -- 7.8 Part VI: Edge Cloud and Network Slicing 204 -- 7.9 Summary 207 -- Acknowledgments 207 -- References 208 -- Part V 5G Verticals ́ô Key Vertical Applications 211 -- 8 Connected Aerials 213 /Feng Xue, Shu-ping Yeh, Jingwen Bai, and Shilpa Talwar -- 8.1 Introduction 213 -- 8.2 General Requirements and Challenges for Supporting UAVs over a Cellular Network 215 -- 8.3 Summary on Current Drone Regulations 217 -- 8.4 Review of Aerial Communication R&D Activities in General 217.…”

Tabla de Contenidos: “…Information gathering -- 2 Discovering network hosts -- 2.1 Understanding your engagement scope -- 2.1.1 Black-box, white-box, and grey-box scoping -- 2.1.2 Capsulecorp -- 2.1.3 Setting up the Capsulecorp Pentest environment -- 2.2 Internet Control Message Protocol -- 2.2.1 Using the ping command -- 2.2.2 Using bash to pingsweep a network range -- 2.2.3 Limitations of using the ping command -- 2.3 Discovering hosts with Nmap -- 2.3.1 Primary output formats -- 2.3.2 Using remote management interface ports -- 2.3.3 Increasing Nmap scan performance -- 2.4 Additional host-discovery methods -- 2.4.1 DNS brute-forcing -- 2.4.2 Packet capture and analysis -- 2.4.3 Hunting for subnets -- Summary -- 3 Discovering network services…”

“…The analysis of the correlation between migration, liberalism and racism will allow us to gain a better understanding of the situations of discrimination faced by Asian immigrants and others considered as “non-Whites” in the United States, Europe and other parts of the world. …”

“…Johnson argues that non-white, queer, and urban culture is consistently erased from depictions of the Midwest in order to reinforce its “reassuring” image as white and straight. …”

“…Belle's complexion isn't dark because of her alleged Portuguese heritage that lets her pass as white-her complexion is dark because she is African American. …”

“…The problem was how to be both black and American—how to find acceptance, or even toleration, in a society in which the boundaries of normative behavior, the values, and the very definition of what it meant to be an American were determined and enforced by whites. A few black leaders proposed selfsegregation inside the United States within the protective confines of an allBlack community as one possible solution. …”

“…Unusually, Sides gives full voice to Indian leaders themselves about their trials and tribulations in their dealings with the whites. Here is a national hero on the level of Daniel Boone, presented with all of his flaws and virtues, in the context of American people̕s belief that it was their Manifest Destiny to occupy the entire West…”
Acceso a las primeras páginas

“…., they are much less likely than whites to have a college degree). Another reason for lower representation of minorities and women among senior leaders is that, once in the military, women and minorities are less likely to choose career fields that give them the highest potential to become senior leaders. …”