Tabla de Contenidos: “…Los precios del trigo y del arroz descienden en términos reales, siguiendo su tendencia a largo plazo de las últimas décadas -- Gráfico 2.3. …”

Tabla de Contenidos: “…17.3 Effects and Negative Consequences of Harmonics 535 -- 17.4 International Standards for Harmonics 536 -- 17.5 Types of Harmonics 537 -- 17.5.1 Harmonic Current Sources 537 -- 17.5.2 Harmonic Voltage Sources 537 -- 17.6 Passive Filters 539 -- 17.7 Power Definitions 540 -- 17.8 Active Power Filters 543 -- 17.9 APF Switching Frequency Choice Methodology 547 -- 17.10 Harmonic Current Extraction Techniques (HCET) 548 -- 17.11 Shunt Active Power Filter 555 -- 17.12 Series Active Power Filter 564 -- 17.13 Unified Power Quality Conditioner 565 -- Acknowledgment 569 -- References 569 -- 18A Hardware-in-the-Loop Systems with Power Electronics: A Powerful Simulation Tool 573 -- 18A.1 Background 573 -- 18A.2 Increasing the Performance of the Power Stage 575 -- 18A.3 Machine Model of an Asynchronous Machine 581 -- 18A.4 Results and Conclusions 583 -- References 589 -- 18B Real-Time Simulation of Modular Multilevel Converters (MMCs) 591 -- 18B.1 Introduction 591 -- 18B.2 Choice of Modeling for MMC and Its Limitations 597 -- 18B.3 Hardware Technology for Real-Time Simulation 598 -- 18B.4 Implementation for Real-Time Simulator Using Different Approach 601 -- 18B.5 Conclusion 606 -- References 606 -- 19 Model Predictive Speed Control of Electrical Machines 608 -- 19.1 Introduction 608 -- 19.2 Review of Classical Speed Control Schemes for Electrical Machines 609 -- 19.3 Predictive Current Control 613 -- 19.4 Predictive Torque Control 617 -- 19.5 Predictive Torque Control Using a Direct Matrix Converter 619 -- 19.6 Predictive Speed Control 622 -- 19.7 Conclusions 626 -- Acknowledgment 627 -- References 627 -- 20 The Electrical Drive Systems with the Current Source Converter 630 -- 20.1 Introduction 630 -- 20.2 The Drive System Structure 631 -- 20.3 The PWM in CSCs 633 -- 20.4 The Generalized Control of a CSR 636 -- 20.5 The Mathematical Model of an Asynchronous and a Permanent Magnet Synchronous Motor 639 -- 20.6 The Current and Voltage Control of an Induction Machine 641 -- 20.7 The Current and Voltage Control of Permanent Magnet Synchronous Motor 651.…”

Tabla de Contenidos: “…7.3 Forecasting a non-stationary times series -- 7.4 Next steps -- 7.5 Exercises -- 7.5.1 Apply the ARIMA(p,d,q) model on the datasets from chapters 4, 5, and 6 -- Summary -- 8 Accounting for seasonality -- 8.1 Examining the SARIMA(p,d,q)(P,D,Q)m model -- 8.2 Identifying seasonal patterns in a time series -- 8.3 Forecasting the number of monthly air passengers -- 8.3.1 Forecasting with an ARIMA(p,d,q) model -- 8.3.2 Forecasting with a SARIMA(p,d,q)(P,D,Q)m model -- 8.3.3 Comparing the performance of each forecasting method -- 8.4 Next steps -- 8.5 Exercises -- 8.5.1 Apply the SARIMA(p,d,q)(P,D,Q)m model on the Johnson &amp -- Johnson dataset -- Summary -- 9 Adding external variables to our model -- 9.1 Examining the SARIMAX model -- 9.1.1 Exploring the exogenous variables of the US macroeconomics dataset -- 9.1.2 Caveat for using SARIMAX -- 9.2 Forecasting the real GDP using the SARIMAX model -- 9.3 Next steps -- 9.4 Exercises -- 9.4.1 Use all exogenous variables in a SARIMAX model to predict the real GDP -- Summary -- 10 Forecasting multiple time series -- 10.1 Examining the VAR model -- 10.2 Designing a modeling procedure for the VAR(p) model -- 10.2.1 Exploring the Granger causality test -- 10.3 Forecasting real disposable income and real consumption -- 10.4 Next steps -- 10.5 Exercises -- 10.5.1 Use a VARMA model to predict realdpi and realcons -- 10.5.2 Use a VARMAX model to predict realdpi and realcons -- Summary -- 11 Capstone: Forecasting the number of antidiabetic drug prescriptions in Australia -- 11.1 Importing the required libraries and loading the data -- 11.2 Visualizing the series and its components -- 11.3 Modeling the data -- 11.3.1 Performing model selection -- 11.3.2 Conducting residual analysis -- 11.4 Forecasting and evaluating the model's performance -- Next steps -- Part 3. …”

Tabla de Contenidos: “…Risk Analysis of Capital Investments-Market Risk Methods; 7.5. Real Options; 7.6. Common Capital Budgeting Pitfalls; 8. …”

Tabla de Contenidos: “…Creating a simple Django view -- Creating a Bitcoin candlestick view -- Integrating more pricing indicators -- Integrating the image into a Django template -- Summary -- Chapter 9: Matplotlib in the Real World -- Typical API data formats -- CSV -- JSON -- Importing and visualizing data from a JSON API -- Using Seaborn to simplify visualization tasks -- Scraping information from websites -- Matplotlib graphical backends -- Non-interactive backends -- Interactive backends -- Creating animated plot -- Summary -- Chapter 10: Integrating Data Visualization into the Workflow -- Getting started -- Visualizing sample images from the dataset -- Importing the UCI ML handwritten digits dataset -- Plotting sample images -- Extracting one sample each of digits 0-9 -- Examining the randomness of the dataset -- Plotting the 10 digits in subplots -- Exploring the data nature by the t-SNE method -- Understanding t-Distributed stochastic neighbor embedding -- Importing the t-SNE method from scikit-learn -- Drawing a t-SNE plot for our data -- Creating a CNN to recognize digits -- Evaluating prediction results with visualizations -- Examining the prediction performance for each digit -- Extracting falsely predicted images -- Summary -- Index…”

Tabla de Contenidos: “…-- 2.1.2 Streaming -- 2.1.3 Related Network Models -- 2.1.4 Physical Network Considerations -- 2.1.5 Internet Layer Considerations -- 2.1.6 Transport Layer Considerations -- 2.1.7 Applications -- Transport Protocols -- 2.1.8 Protocol Evolution -- 2.1.9 Format Evolution -- 2.2 Industry Evolution -- 2.2.1 "Stack Creep" -- 2.2.2 Real World -- Blue Chips and Video Delivery Networks -- 2.3 Consumer Adoption -- 2.3.1 The Audience -- 2.3.2 Traditional Ratings Companies and Audience Measurement -- 2.3.3 Streaming Media and Measurement -- 2.3.4 Predictions of Others -- 2.3.5 The Pending Collapse of the Value of Broadcasting to Advertisers -- 2.3.6 "Device Effect" and Formats -- 2.3.7 Video Formats (in Particular, Multicast and UDP) and Network Architecture -- 2.3.8 Discovery, Curation, and Social Media -- 2.4 Encode> Serve> Play -- 2.4.1 The Basic Building Blocks -- 2.4.2 The Acacia Patent -- 2.4.3 Akamai vs. …”

Tabla de Contenidos: “…Appoint a Gender Diversity Officer with Real Power -- 5. Measure Company Performance and Take Action Where Needed -- 6. …”

“…It presents recent developments of such extensions involving reliability modelling theory, reliability evaluation methods, and features numerous case studies based on real-world examples. The presented dynamic reliability theory can enable a more accurate representation of actual complex system behavior, thus more effectively guiding the reliable design of real-world critical systems. …”

Tabla de Contenidos: “…-- Maximum Separability -- Support Vectors -- Formula for the Hyperplane -- Using Scikit-learn for SVM -- Plotting the Hyperplane and the Margins -- Making Predictions -- Kernel Trick -- Adding a Third Dimension -- Plotting the 3D Hyperplane -- Types of Kernels -- C -- Radial Basis Function (RBF) Kernel -- Gamma -- Polynomial Kernel -- Using SVM for Real-Life Problems -- Summary -- Chapter 9 Supervised Learning-Classification Using K-Nearest Neighbors (KNN) -- What Is K-Nearest Neighbors?…”

Tabla de Contenidos: “…-- Adding Digital Data to the Physical World -- From Personal Digital Assistants to Personal Concierges -- Contextual Communications That Integrate Motion, Location, Social, and Other Data -- Communications Builds a Bridge to Commerce -- Right-Time Communications Drive Engagement -- Communications Isn't Just About Ads -- Location and Personal Points of Interest Drive Relevancy -- Target Time, Location, and Previous Behavior Change Communications -- The New Fan Experience -- Build a Better Team and Increase Competitiveness with Right-Time Communications -- Let Customers Drive the Conversation -- Improve the Quality of Civic Life -- Use IoT and Mobile to Drive Efficiencies -- IOT Keeps the Trains on Time -- Summary -- Notes -- Chapter 5: Care in a Right-Time Experience -- Mobile Extends Options and Information to Everyone -- Closing the Deal Faster -- Enhance and Transform Customer Care Experiences -- Putting The People Back In Care -- Making Travel Easier with Mobile -- Merging Wearables and Data to Transform Care -- Using IoT to Improve the Employee and Customer Experience -- Transform the Organization with New Options -- Curing Cancer with Cognitive Computing -- Big Data and Mobile Deliver Predictive Knowledge -- Respond to Problems and Opportunities in Real Time -- Summary -- Notes -- Chapter 6: Commerce in a Right-Time Experience -- Mobile and Context Change Commerce -- Reach and Engage Consumers Wherever They Are -- Move from Generic to Targeted Experiences -- Changing the Game with Contextual Pricing -- Use Partnerships and Mobile to Drive Sales -- RTEs Change B2B Commerce -- Eliminating Paper -- After Eliminating Paper, Add Context…”

Tabla de Contenidos: “…Hop Behavior 5 -- 1.3 Traffic Characterization 8 -- 1.4 A Router without QOS 11 -- 1.5 Conclusion 12 -- References 12 -- Further Reading 12 -- 2 The QOS Tools 13 -- 2.1 Classifiers and Classes of Service 13 -- 2.2 Metering and Coloring - CIR/PIR Model 15 -- 2.3 The Policer Tool 16 -- 2.4 The Shaper Function 17 -- 2.5 Comparing Policing and Shaping 18 -- 2.6 Queue 19 -- 2.7 The Scheduler 21 -- 2.8 The Rewrite Tool 21 -- 2.9 Example of Combining Tools 23 -- 2.10 Delay and Jitter Insertion 27 -- 2.11 Packet Loss 31 -- 2.12 Conclusion 32 -- Reference 33 -- 3 Challenges 34 -- 3.1 Defining the Classes of Service 35 -- 3.2 Classes of Service and Queues Mapping 37 -- 3.3 Inherent Delay Factors 40 -- 3.4 Congestion Points 46 -- 3.5 Trust Borders 49 -- 3.6 Granularity Levels 51 -- 3.7 Control Traffic 53 -- 3.8 Trust, Granularity, and Control Traffic 54 -- 3.9 Conclusion 56 -- Further Reading 56 -- 4 Special Traffic Types and Networks 57 -- 4.1 Layer 4 Transport Protocols: UDP and TCP 58 -- 4.1.1 The TCP Session 61 -- 4.1.2 TCP Congestion Mechanism 64 -- 4.1.3 TCP Congestion Scenario 65 -- 4.1.4 TCP and QOS 66 -- 4.2 Data Center 67 -- 4.2.1 SAN Traffic 68 -- 4.2.2 Lossless Ethernet Networks 69 -- 4.2.3 Virtualization 71 -- 4.2.4 Software Defined Networks 73 -- 4.2.5 DC and QOS 74 -- 4.3 Real?]Time Traffic 74 -- 4.3.1 Control and Data Traffic 75 -- 4.3.2 Voice over IP 76 -- 4.3.3 IPTV 78 -- 4.3.4 QOS and Real?]…”

Tabla de Contenidos: “…CAPTCHAs -- Deeper networks -- Reinforcement learning -- Authorship Attribution -- Increasing the sample size -- Blogs dataset -- Local n-grams -- Clustering News Articles -- Clustering Evaluation -- Temporal analysis -- Real-time clusterings -- Classifying Objects in Images Using Deep Learning -- Mahotas -- Magenta -- Working with Big Data -- Courses on Hadoop -- Pydoop -- Recommendation engine -- W.I.L.L -- More resources -- Kaggle competitions -- Coursera -- Index…”

Tabla de Contenidos: “…3.5 IFRS 5 Non-Current Assets Held for Sale3.6 IFRS 8 Operating Segments; 3.7 IFRS 13 Fair Value Measurement; 3.8 IAS 39/IFRS 9 Financial Instruments; 3.9 IFRS 10 Consolidated Financial Statements; 3.10 IFRS 15 Revenue from Contracts with Customers; Chapter 4: The Impact of IFRS Standards on Specific Industries; 4.1 Airlines; 4.2 Agriculture; 4.3 Automotive; 4.4 Banking; 4.5 Family Controlled Enterprises (FCEs); 4.6 Fast-Moving Consumer Goods (FMCG); 4.7 Government Owned Industry; 4.8 Insurance; 4.9 Pharmaceuticals; 4.10 Private Equity; 4.11 Real Estate and Infrastructure; 4.12 Oil and Gas…”

Tabla de Contenidos: “…Before you do anything, choose where to store your photos -- Next, do this: set up your folder organization (it's really important) -- Getting photos from your camera into lightroom -- Using smart previews to work without an external hard drive attached -- Importing photos already on your computer -- Save time importing using import presets (and a compact view) -- Importing video from your DSLR -- Shooting tethered (go straight from your camera, right into lightroom) -- Using image overlay to see if your images fit your layout -- Creating your own custom filen aming templates -- Choosing your preferences for importing photos -- The Adobe DNG file format advantage -- Creating your own custom metadata (copyright) templates -- Four things you'll want to know now about getting around lightroom -- Viewing your imported photos -- Using lights dim, lights out, and other viewing modes -- Seeing a real full-screen view -- Using guides and the resizable grid overlays -- Lightroom killer tips -- 2. …”

Tabla de Contenidos: “…Cover -- Copyright -- Packt Page -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting Started with Next-Generation Artificial Intelligence through Reinforcement Learning -- Reinforcement learning concepts -- How to adapt to machine thinking and become an adaptive thinker -- Overcoming real-life issues using the three-step approach -- Step 1 - describing a problem to solve: MDP in natural language -- Watching the MDP agent at work -- Step 2 - building a mathematical model: the mathematical representation of the Bellman equation and MDP -- From MDP to the Bellman equation -- Step 3 - writing source code: implementing the solution in Python -- The lessons of reinforcement learning -- How to use the outputs -- Possible use cases -- Machine learning versus traditional applications -- Summary -- Questions -- Further reading -- Chapter 2: Building a Reward Matrix - Designing Your Datasets -- Designing datasets - where the dream stops and the hard work begins -- Designing datasets -- Using the McCulloch-Pitts neuron -- The McCulloch-Pitts neuron -- The Python-TensorFlow architecture -- Logistic activation functions and classifiers -- Overall architecture -- Logistic classifier -- Logistic function -- Softmax -- Summary -- Questions -- Further reading -- Chapter 3: Machine Intelligence - Evaluation Functions and Numerical Convergence -- Tracking down what to measure and deciding how to measure it -- Convergence -- Implicit convergence -- Numerically controlled gradient descent convergence -- Evaluating beyond human analytic capacity -- Using supervised learning to evaluate a result that surpasses human analytic capacity -- Summary -- Questions -- Further reading -- Chapter 4: Optimizing Your Solutions with K-Means Clustering -- Dataset optimization and control -- Designing a dataset and choosing an ML/DL model…”

“…Throughout, the focus is on solving real-world problems, with an emphasis on the effective use of state-of-the-art integration techniques for those systems, especially the ap…”

Tabla de Contenidos: “…-- Classes Are Object Templates -- Attributes -- Methods -- Messages -- Using UML to Model a Class Diagram -- Encapsulation and Data Hiding -- Interfaces -- Implementations -- A Real-World Example of the Interface/Implementation Paradigm -- A Model of the Interface/Implementation Paradigm -- Inheritance -- Superclasses and Subclasses -- Abstraction -- Is-a Relationships -- Polymorphism -- Composition -- Abstraction -- Has-a Relationships -- Conclusion -- Example Code Used in This Chapter -- 2 How to Think in Terms of Objects -- Knowing the Difference Between the Interface and the Implementation -- The Interface -- The Implementation -- An Interface/Implementation Example -- Using Abstract Thinking When Designing Interfaces -- Giving the User the Minimal Interface Possible -- Determining the Users -- Object Behavior -- Environmental Constraints -- Identifying the Public Interfaces -- Identifying the Implementation -- Conclusion -- References -- 3 Advanced Object-Oriented Concepts -- Constructors -- The Default Constructor -- When Is a Constructor Called? …”

Tabla de Contenidos: “…CHAPTER 9 Session Description9.1 The Purpose of Session Description; 9.2 The Session Description Protocol (SDP); 9.3 Example IP Communication Sessions Described with SDP; 9.4 The Offer/Answer Model with SDP; 9.5 SDP Programming; 9.6 Summary; CHAPTER 10 The Media Plane; 10.1 Overview of the Media Plane; 10.2 Real-time Transport Protocol (RTP); 10.3 Messaging Service Relay Protocol (MSRP); 10.4 Summary; CHAPTER 11 Media Plane Programming; 11.1 Overview; 11.2 JMF Entities; 11.3 JMF Operation; 11.4 Putting It All Together: The VoiceTool; 11.5 Putting It All Together: The VideoTool…”

Tabla de Contenidos: “…4.1.1 Discounted cash flows (DCF) method 4.1.2 The Gordon-Shapiro method; 4.1.3 The case of stocks not distributing dividends; 4.1.4 The real option method; 4.1.5 The book value method; 4.2 STOCK INDEXES; 4.3 THE PORTFOLIO THEORY; 4.3.1 Introduction to the Portfolio Theory; 4.3.2 Risk and return measures; 4.3.3 The Markowitz model; 4.3.4 Sharpe's CAPM; 4.3.5 The APT model (Roll and Ross); 4.3.6 CAPM versus APT; 4.3.7 The four-moments CAPM; FURTHER READING; 5 Forward instruments; 5.1 THE FORWARD FOREIGN EXCHANGE; 5.1.1 Forward exchange operations; 5.1.2 Forex (or FX) swaps…”