Tabla de Contenidos: “…-- 1.7 Quality of Design Versus Quality of Conformance -- 1.8 Changing Criteria of Quality -- 1.9 The Five Approaches to Quality -- 1.10 PDCA Cycle -- 1.11 When to Use the PDCA Cycle -- 1.12 Variations of PDCA Terminology -- 1.13 Deming's Fourteen Points to Improve Quality -- 1.14 Deming System of Profound Knowledge -- 1.15 Juran Quality Trilogy -- 1.16 Conclusion -- Further Reading -- Chapter 2: Evolution of Total Quality Management -- 2.1 Introduction -- 2.2 The Historical Development of TQM -- 2.2.1 Operative Quality Control -- 2.2.2 Foreman Quality Control -- 2.2.3 Inspection Quality Control -- 2.2.3.1 Patrol Inspection -- 2.2.3.2 Process Control -- 2.2.3.3 Source Inspection -- 2.2.3.4 Supplier Partnership -- 2.2.4 Statistical Quality Control -- 2.2.4.1 Sampling Inspection -- 2.2.5 Total Quality Control -- 2.3 Quality Management in the Japanese Scenario -- 2.4 Post-Deming/Juran Quality Scenario -- 2.5 Conclusion -- Further Reading -- Chapter 3: Quality Gurus -- 3.1 Wilfredo Pareto -- 3.2 Walter A. …”

Tabla de Contenidos: “…-- 6.3.2 Filter Models of Feature Selection -- 6.3.3 Wrapper Models of Feature Selection -- 6.4 Design of Classifier -- 6.4.1 Conventional Classifiers in Distributed Environment -- 6.4.2 Neural Network Classifiers in a Distributed Environment -- 6.5 Designing Machine Learning Models for Distributed Environment -- 6.6 Role of Distributed Computing in Pattern Recognition -- 6.7 Conclusion -- References -- Chapter 7 Next-Generation Distributed Computing for Cancer Detection -- 7.1 Introduction -- 7.2 Research Motivation -- 7.3 Cancer Statistics -- 7.4 Modern Cancer Diagnosis and Treatment Methods -- 7.5 Methodology -- 7.6 Technical Challenges -- 7.7 Future Directions -- 7.8 Conclusion -- References -- Chapter 8 Benefits and Challenges of Decentralization in Education for Resource Optimization and Improved Performance -- 8.1 Introduction -- 8.1.1 Decentralized Systems in Education and Research -- 8.1.2 Connect Between Democracy and Education -- 8.2 The Centralization and Decentralization Concepts -- 8.3 Decentralized Systems in Education and Research: Policies and Practices -- 8.3.1 Open Educational Resources (OER) Policy -- 8.3.2 Collaborative Research Networks -- 8.3.3 Self-Directed Learning -- 8.3.4 Peer Review -- 8.3.5 Open Data -- 8.3.6 Equity and Inclusion -- 8.3.7 Quality Assurance -- 8.4 Building Capacity Across and Between Levels Within Education Systems -- 8.5 Developing Accountability Measures and Systems in Implementing a Decentralized Education Policy -- 8.5.1 Establish Clear and Quantifiable Policy Objectives -- 8.5.2 Create Performance Indicators and Benchmarks -- 8.5.3 Assign Roles and Responsibilities -- 8.5.4 Build Effective Monitoring and Evaluation Systems…”

Tabla de Contenidos: “…4.5 Typical Applications of Tensors -- 4.5.1 Scalar -- 4.5.2 Vector -- 4.5.3 Matrix -- 4.5.4 Three-Dimensional Tensor -- 4.5.5 Four-Dimensional Tensor -- 4.6 Indexing and Slicing -- 4.6.1 Indexing -- 4.6.2 Slicing -- 4.6.3 Slicing Summary -- 4.7 Dimensional Transformation -- 4.7.1 Reshape -- 4.7.2 Add and Delete Dimensions -- 4.7.3 Swap Dimensions -- 4.7.4 Copy Data -- 4.8 Broadcasting -- 4.9 Mathematical Operations -- 4.9.1 Addition, Subtraction, Multiplication and Division -- 4.9.2 Power Operations -- 4.9.3 Exponential and Logarithmic Operations -- 4.9.4 Matrix Multiplication -- 4.10 Hands-On Forward Propagation -- Chapter 5: Advanced TensorFlow -- 5.1 Merge and Split -- 5.1.1 Merge -- 5.1.2 Split -- 5.2 Common Statistics -- 5.2.1 Norm -- 5.2.2 Max, Min, Mean, and Sum -- 5.3 Tensor Comparison -- 5.4 Fill and Copy -- 5.4.1 Fill -- 5.4.2 Copy -- 5.5 Data Limiting -- 5.6 Advanced Operations -- 5.6.1 tf.gather -- 5.6.2 tf.gather_nd -- 5.6.3 tf.boolean_mask -- 5.6.4 tf.where -- 5.6.5 tf.scatter_nd -- 5.6.6 tf.meshgrid -- 5.7 Load Classic Datasets -- 5.7.1 Shuffling -- 5.7.2 Batch Training -- 5.7.3 Preprocessing -- 5.7.4 Epoch Training -- 5.8 Hands-On MNIST Dataset -- Chapter 6: Neural Networks -- 6.1 Perceptron -- 6.2 Fully Connected Layer -- 6.2.1 Tensor Mode Implementation -- 6.2.2 Layer Implementation -- 6.3 Neural Network -- 6.3.1 Tensor Mode Implementation -- 6.3.2 Layer Mode Implementation -- 6.3.3 Optimization -- 6.4 Activation function -- 6.4.1 Sigmoid -- 6.4.2 ReLU -- 6.4.3 LeakyReLU -- 6.4.4 Tanh -- 6.5 Design of Output Layer -- 6.5.1 Common Real Number Space -- 6.5.2 [0, 1] Interval -- 6.5.3 [0,1] Interval with Sum 1 -- 6.5.4 (-1, 1) Interval -- 6.6 Error Calculation -- 6.6.1 Mean Square Error Function -- 6.6.2 Cross-Entropy Error Function -- 6.7 Types of Neural Networks -- 6.7.1 Convolutional Neural Network -- 6.7.2 Recurrent Neural Network…”

Tabla de Contenidos: “…6.8.2 Granting Object Privileges -- 6.8.3 Restricting Object Privileges to Certain Columns -- 6.8.4 Granting All Privileges at the Same Time -- 6.8.5 Allowing Others to Grant Privileges -- 6.9 Taking Away Privileges -- 6.10 Filtering Table Privileges -- 6.11 Statistical Databases -- Key Terms and Concepts -- Chapter Summary -- Practice Set -- Chapter 7: Query Execution and Optimisation -- 7.1 Query Processing -- 7.2 Using Indexes -- 7.3 Optimiser Functionality -- 7.3.1 Driver Index -- 7.3.2 List Merge -- 7.4 Implementing SELECT -- 7.4.1 Simple SELECT -- 7.4.2 Complex SELECT Implementation -- 7.4.3 JOIN Implementation -- 7.4.4 PROJECT Implementation -- 7.4.5 SET Operator Implementation -- 7.4.6 Aggregate Functions Implementation -- 7.5 Optimisation Recommendations -- 7.6 Database Statistics -- Key Terms and Concepts -- Chapter Summary -- Practice Set -- Chapter 8: Distributed Databases -- 8.1 Distributed Database Concepts -- 8.1.1 Distributed Computing -- 8.1.2 Distributed Databases -- 8.2 Distributed Database Architectures -- 8.3 Advantages of Distributed Databases -- 8.4 Distributed Database Requirements -- 8.5 Distributed Database Techniques -- 8.5.1 Data Fragmentation -- 8.5.2 Data Replication -- 8.6 Distributed Query Processing -- 8.6.1 Costs -- 8.6.2 Semi-join -- 8.6.3 Distributed Query Decomposition -- 8.7 Distributed Concurrency Control and Recovery -- 8.7.1 Concurrency and Recovery Problems -- 8.7.2 Distinguished Copy -- 8.7.2.1 Primary site technique -- 8.7.2.2 Primary site with backup site technique -- 8.7.2.3 Primary copy technique -- 8.7.3 Dealing with Coordinator Failures -- 8.7.4 Voting Method -- 8.7.5 Distributed Recovery -- 8.8 Distributed Deadlocks -- 8.8.1 Prevent a Deadlock -- 8.8.2 Avoid a Deadlock -- 8.8.3 Detect a Deadlock -- 8.9 Client/Server Computing and DDBMS -- 8.9.1 Client/server Computing…”

Tabla de Contenidos: “…Relative unemployment rates </P><P>9.4. A statistical analysis of the impact of relative wages and relative unemployment rates on migration flows </P><P>9.5. …”

Tabla de Contenidos: “…Kidder and Eunah Lee -- 8.1 The PAT initiative -- 8.2 The role of near-infrared chemical imaging (NIR-CI) in the pharmaceutical industry -- 8.3 Evolution of NIR imaging instrumentation -- 8.4 Chemical imaging principles -- 8.5 PAT applications -- 8.6 Processing case study one: estimating 'abundance' of sample components -- 8.7 Processing case study two: determining blend homogeneity through statistical analysis -- 8.8 Final thoughts -- Acknowledgements -- Chapter 9: -- Acoustic chemometric monitoring of industrial production processes -- Maths Halstensen & Kim H. …”

Tabla de Contenidos: “…International sample: Instructional format by fields of study -- 9 Benchmarking countries -- Introduction -- Mastery levels by country -- Summary statistics -- Conclusion -- Part III The CLA+ assessment in participating countries -- 10 CLA+ in the United States -- Introduction -- Policy context -- Process of implementation of the CLA+ -- Results -- Total CLA+ scores and section scores among entering and exiting students -- CLA+ mastery levels and score distributions -- CLA+ subscores -- Self-reported effort and engagement -- CLA+ section scores, by effort and engagement -- Policy implications and lessons learnt -- Next steps -- Next Step Platform -- SSA+ -- Prospects…”

Tabla de Contenidos: “…Cover -- Brief Contents -- Contents -- Foreword -- Preface -- Unit I: Introduction to Analysis -- Chapter 1: Introduction to Pharmaceutical Analysis -- Introduction -- Types of Analytical Methods -- Factors Affecting the Analytical Methods Selection -- Introduction to Titrimetry -- Types of Titrations -- Conditions Required for the Titrimetric Analysis -- Standard Solution -- Introduction to Electroanalytical Methods -- Laws Governing the Electroanalytical Methods -- Electrodes Used in the Electroanalytical Methods -- Introduction to Spectroscopy -- Electromagnetic Radiation -- The Electromagnetic Spectrum -- Instrumentation -- Introduction to Chromatography -- Classification of Chromatography -- Mobile Phases Used in the Chromatography -- Statistical Analysis -- Introduction -- Minimization of Errors -- Significant Figures and Computation -- Accuracy -- Precision -- Standard Deviation -- Comparison of the Results -- Correlation Co-efficient -- Sensitivity -- Detection Limit -- Quantitation Limit -- Selectivity -- Analysis of Variance -- Factorial Designs -- Regression -- Method of Least Squares -- Review Questions -- Unit II: Physical Analytical Methods -- Chapter 1: Solubility Determinations -- Introduction -- Classification of Solutions -- Mechanism of Action of the Solvent on the Solute -- Factors Affecting Solubility -- Mechanism of Solubility -- Theory -- Solubility Rules -- Solubility Equilibrium -- Solubility Test Methods -- Solubility Enhancement Techniques -- Applications -- Review Questions -- Chapter 2: Molecular Weight Determinations -- Introduction -- Ebullioscopy -- Cryoscopic Method -- Vapour Pressure Lowering -- Osmometry -- Mass Spectrometry -- Review Questions -- Chapter 3: Viscosity Determination -- Introduction -- Factors Affecting Viscosity -- Types of Viscometers -- Capillary Viscometer -- Falling Sphere Viscometer…”

Tabla de Contenidos: “…-- GRAB Trading System Details -- Buys on Break of Support, Sells on Break of Resistance -- Testing Reveals Some Behavior I Do Not Expect -- Difference between Parameter Values Defines Character of GRAB System -- GRAB Trading System Code -- 26 Why Tactical Macro Investing Still Makes Sense -- Introduction -- Managed Futures -- Defining Managed Futures and CTAs -- Where Institutional Investors Position Managed Futures and CTAs -- Skewness and Kurtosis -- Data -- Basic Statistics -- Stocks, Bonds, Plus Hedge Funds or Managed Futures -- Hedge Funds Plus Managed Futures -- Stocks, Bonds, Hedge Funds, and Managed Futures -- Conclusion -- Appendix A -- Appendix B -- Appendix C -- 27 Carry and Trend in Lots of Places -- Carry and Trend: Definitions, Data, and Empirical Study -- Carry and Trend in Interest Rate Futures -- Trend and Carry across Asset Classes -- Carry and Trend across Rate Regimes -- Conclusions -- 28 The Great Hypocrisy -- Epilogue -- Afterword by Larry Hite -- Trend Following Podcast Episodes -- Endnotes -- Bibliography -- Acknowledgments -- About the Author -- Index -- EULA…”

Tabla de Contenidos: “…References 109 -- 6 Terminal Antennas in Difficult Environments 111 -- 6.1 GNSS Antennas and Multipath Environment 111 -- 6.2 Statistical Modelling of Multipath Environment for GNSS Operation 113 -- 6.2.1 GPS Mean Effective Gain (MEGGPS) 114 -- 6.2.2 GPS Angle of Arrival Distribution (AoAGPS) 116 -- 6.2.3 GPS Coverage Efficiency (ηc) 117 -- 6.3 Open Field Test Procedure 119 -- 6.3.1 Measurement of GPS Mean Effective Gain 119 -- 6.3.2 Measurement of GPS Coverage Efficiency 120 -- 6.3.3 Measurement Set-Up 120 -- 6.4 Performance Assessment of GNSS Mobile Terminal Antennas in Multipath Environment 121 -- 6.4.1 Design of Tested GPS Antennas 122 -- 6.4.2 Comparison Based on Simulated and Measured 3D -- Radiation Patterns 127 -- 6.4.3 Comparison Based on Measured 3D Radiation Patterns and Actual Field Tests 129 -- 6.5 Performance Dependence on GNSS Antenna Orientation 133 -- 6.6 Performance Enhancement of GNSS Mobile Terminal Antennas in Difficult Environments 139 -- 6.6.1 Assisted GPS 140 -- 6.6.2 GPS Signal Reradiation 140 -- 6.6.3 Beamforming 141 -- 6.6.4 Diversity Antennas 141 -- References 147 -- 7 Human User Effects on GNSS Antennas 149 -- 7.1 Interaction of Human Body and GNSS Antennas 149 -- 7.2 Effects of Human Body on GNSS Mobile Terminal Antennas in Difficult Environments 150 -- 7.2.1 Design of Tested GPS Antennas 151 -- 7.2.2 Effects of Human Hand and Head Presence 151 -- 7.2.3 Effects of Complete Human Body Presence 166 -- References 179 -- 8 Mobile Terminal GNSS Antennas 181 -- 8.1 Introduction 181 -- 8.2 Antenna Specification Parameters 183 -- 8.2.1 Polarisation 183 -- 8.2.2 Radiation Patterns 184 -- 8.2.3 Impedance 185 -- 8.2.4 Gain/Efficiency 186 -- 8.2.5 Weight 187 -- 8.2.6 Bandwidth 187 -- 8.2.7 Phase Performance 188 -- 8.3 Classification of GNSS Terminals 188 -- 8.3.1 Geodetic Terminals 188 -- 8.3.2 Rover Terminals 188 -- 8.3.3 General Purpose Mobile Terminals 189 -- 8.4 Antenna Designs for Portable User Equipment 190 -- 8.4.1 Short Quadrifilar Helices 190.…”

Tabla de Contenidos: “…5 Discussion and Conclusions -- Anchor 8 -- References -- Energy Prosumers' Spillovers and the Policy Effect: Comparing Two Alpine Valleys in Styria and South Tyrol -- Abstract -- 1 Energy Behavior and Its Spillovers -- 2 Ambiguous Empirical Findings on Spillovers and the Attempt to Elucidate Them -- 3 Methodology and Research Design -- 3.1 Questionnaire and Data Collection -- 3.2 Statistical Analysis -- 4 Identifying and Reflecting Prosumer Spillovers -- 4.1 Individual Prosumer Spillovers in the Puster Valley -- 4.2 Individual Prosumer Spillovers in the Mur Valley -- 4.3 Collective Prosumer Spillovers in the Mur Valley -- 4.4 Prosumer Spillovers in Different Policy Regimes -- 5 Discussion and Conclusions -- References -- Tierwohlstandards für Milchkühe im Berggebiet: Haltungsform oder Werthaltung? …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Contents -- List of Figures -- List of Table -- Preface -- Acknowledgments -- Acronyms -- Chapter 1 Introduction -- 1.1 State of a Dynamic System -- 1.2 State Estimation -- 1.3 Construals of Computing -- 1.4 Statistical Modeling -- 1.5 Vision for the Book -- Chapter 2 Observability -- 2.1 Introduction -- 2.2 State‐Space Model -- 2.3 The Concept of Observability -- 2.4 Observability of Linear Time‐Invariant Systems -- 2.4.1 Continuous‐Time LTI Systems -- 2.4.2 Discrete‐Time LTI Systems -- 2.4.3 Discretization of LTI Systems -- 2.5 Observability of Linear Time‐Varying Systems -- 2.5.1 Continuous‐Time LTV Systems -- 2.5.2 Discrete‐Time LTV Systems -- 2.5.3 Discretization of LTV Systems -- 2.6 Observability of Nonlinear Systems -- 2.6.1 Continuous‐Time Nonlinear Systems -- 2.6.2 Discrete‐Time Nonlinear Systems -- 2.6.3 Discretization of Nonlinear Systems -- 2.7 Observability of Stochastic Systems -- 2.8 Degree of Observability -- 2.9 Invertibility -- 2.10 Concluding Remarks -- Chapter 3 Observers -- 3.1 Introduction -- 3.2 Luenberger Observer -- 3.3 Extended Luenberger‐Type Observer -- 3.4 Sliding‐Mode Observer -- 3.5 Unknown‐Input Observer -- 3.6 Concluding Remarks -- Chapter 4 Bayesian Paradigm and Optimal Nonlinear Filtering -- 4.1 Introduction -- 4.2 Bayes' Rule -- 4.3 Optimal Nonlinear Filtering -- 4.4 Fisher Information -- 4.5 Posterior Cramér-Rao Lower Bound -- 4.6 Concluding Remarks -- Chapter 5 Kalman Filter -- 5.1 Introduction -- 5.2 Kalman Filter -- 5.3 Kalman Smoother -- 5.4 Information Filter -- 5.5 Extended Kalman Filter -- 5.6 Extended Information Filter -- 5.7 Divided‐Difference Filter -- 5.8 Unscented Kalman Filter -- 5.9 Cubature Kalman Filter -- 5.10 Generalized PID Filter -- 5.11 Gaussian‐Sum Filter -- 5.12 Applications -- 5.12.1 Information Fusion -- 5.12.2 Augmented Reality…”

Tabla de Contenidos: “…Gastrointestinal Toxicity -- Respiratory Tract Associated Toxicity -- Cardiovascular Toxicity -- Corticosteroids -- Dermal Toxicity -- TOXICITY PROFILE OF 2,4-DICHLOROPHENOXYACETIC ACID -- Introduction -- Pharmacokinetics -- Carcinogenicity -- Genotoxicity -- Acute Toxicity -- Chronic Systemic Toxicity -- Reproductive and Developmental Toxicity -- Immunotoxicity -- TOXICITY PROFILE OF 2,4,5-TRICHLOROPHENOXYACETIC ACID -- Introduction -- Pharmacokinetics -- Carcinogenicity -- Genotoxicity -- Acute Toxicity -- Chronic Systemic Toxicity -- Reproductive and Developmental Toxicity -- Immunotoxicity -- TOXICITY PROFILE OF CACODYLIC ACID -- Introduction -- Pharmacokinetics -- Carcinogenicity -- Genotoxicity -- Acute Toxicity -- Chronic Systemic Toxicity -- Reproductive and Developmental Toxicity -- Immunotoxicity -- TOXICITY PROFILE OF PICLORAM -- Introduction -- Pharmacokinetics -- Carcinogenicity -- Genotoxicity -- Acute Toxicity -- Chronic Systemic Toxicity -- Reproductive and Developmental Toxicity -- Immunotoxicity -- REFERENCES -- 5 Methodologic Considerations in Evaluating the Evidence -- QUESTIONS TO BE ADDRESSED -- Are Herbicides Statistically Associated with the Health Outcome? -- What Is the Increased Risk of the Disease in Question Among Those Exposed to Herbicides in Vietnam? …”

Tabla de Contenidos: “…Intro -- Acknowledgements -- Contents -- About the Editors -- 1 Overall Introduction -- 1.1 Defining Urban Informatics -- 1.2 The Background: The Origins of Urban Informatics -- 1.3 Structure of the Book -- 1.4 Retrospective and Prospective -- References -- Part IDimensions of Urban Science -- 2 Introduction to Urban Science -- 3 Defining Urban Science -- 3.1 A Science of Cities -- 3.2 City Systems and Systems of Cities -- 3.3 Urban Growth: Urbanization from the Bottom Up -- 3.4 Scale and Size, Networks, and Flows -- 3.5 The Development of Operational Urban Models -- 3.6 Future Directions in Urban Informatics -- References -- 4 Street View Imaging for Automated Assessments of Urban Infrastructure and Services -- 4.1 Introduction -- 4.2 Data Collection and Object Localization -- 4.3 Deriving Urban Functions from Object Statistics -- 4.4 Discussion -- References -- 5 Urban Human Dynamics -- 5.1 Introduction -- 5.2 Urban Dynamics -- 5.2.1 Cellular Automata for Urban Dynamics Research -- 5.2.2 Other Urban Dynamics Approaches -- 5.3 Human Dynamics -- 5.3.1 Effects of Information and Communications Technologies on Human Dynamics -- 5.3.2 Time Geography -- 5.3.3 Big Data and Space-Time GIS for Human Dynamics Research -- 5.3.4 Some Other Examples Human Dynamics Studies -- 5.4 Urban Human Dynamics and Urban Informatics -- References -- 6 Geosmartness for Personalized and Sustainable Future Urban Mobility -- 6.1 Introduction -- 6.2 Geosmartness -- 6.3 Analyzing Urban-Mobility Patterns -- 6.3.1 Data -- 6.3.2 Computational Methods for Large-Scale Spatio-temporal Mobility-Pattern Analysis -- 6.3.3 Studies -- 6.3.4 SBB Green Class (Multi-modal and Energy-Efficient Mobility) -- 6.4 Behavioral Change and Sustainable Mobility -- 6.4.1 Motivation -- 6.4.2 Detecting and Supporting Behavioral Change -- 6.4.3 Studies -- 6.4.4 GoEco! …”

Tabla de Contenidos: “…Front Cover -- Half Title Page -- RIVER PUBLISHERS SERIES IN INFORMATION SCIENCE AND TECHNOLOGY -- Title Page - Building the Future Internet through FIRE 2016 FIRE Book: A Research and Experiment based Approach -- Copyright Page -- Contents -- Dedications -- Acknowledgements -- Editors Biography -- Foreword -- List of Figures -- List of Tables -- PART I - The Next Generation Internet with FIRE -- Chapter 1 - European Challenges for Experimental Facilities -- 1.1 Evolution of Experimentation Facilities into Open Innovation Ecosystems for the Future Internet -- 1.2 Support, Continuity and Sustainability:The NITOS Testbed Example -- 1.2.1 NITOS Future Internet Facility Overview -- 1.2.2 NITOS Evolution and Growth -- 1.2.3 Facilitating User's Experience -- 1.2.4 Exploitation of NITOS and Users Statistics -- 1.2.5 References -- 1.3 Experimentation: Vision and Roadmap -- 1.3.1 Envisioning Evolution of Experimentation Facilities into the Future -- 1.3.2 Vision and Opportunities of OMA LwM2M/oneM2M and Its Role in the Monitoring and Deployment of Large Scale Unmanned Networks -- 1.3.3 Large Deployments with Low-power, Long-range, Low-cost -- 1.3.3.1 LoRa technology -- 1.3.3.2 LoRaWAN -- 1.3.3.3 Simplified deployment scenarios -- 1.4 Conclusions -- References -- Chapter 2 - Next Generation Internet Research and Experimentation -- 2.1 Experimentation Facilities in H2020: Strategic Research and Innovation Agenda Contributions -- 2.1.1 European Ecosystem Experimentation Impacts -- 2.1.2 Drivers Transforming the Next Generation Internet Experimentation -- 2.1.2.1 Intelligent spaces -- 2.1.2.2 Cooperative autonomous machines -- 2.1.2.3 Collective human experience -- 2.1.2.4 Key networking technologies -- 2.2 Policy Recommendations for Next Generation Internet Experimentation -- 2.3 References…”

Tabla de Contenidos: “…Les questions relatives au BES utilisées par l'Office for National Statistics au Royaume-Uni -- Graphique 7.1. Bien-être subjectif moyen au Royaume-Uni, par tranche d'âge (2012/2013) -- Encadré 7.2. …”

Tabla de Contenidos: “…6.5.1 Sort parallelization -- 6.5.2 Aggregation parallelization -- 6.6 Statistics in a partitioned environment -- 6.7 Analyzing query plans in a partitioned environment -- Chapter 7. …”

Tabla de Contenidos: “…18.3.9 Aspect Ratio / 454 -- 18.3.10 Moments / 455 -- 18.4 Boundary Descriptors / 456 -- 18.4.1 Chain Code, Freeman Code, and Shape Number / 459 -- 18.4.2 Signatures / 461 -- 18.4.3 Fourier Descriptors / 462 -- 18.5 Histogram-based (Statistical) Features / 464 -- 18.6 Texture Features / 466 -- 18.7 Tutorial 18.1: Feature Extraction and Representation / 470 -- 18.8 Problems / 474 -- 19 VISUAL PATTERN RECOGNITION 475 -- 19.1 Introduction / 475 -- 19.2 Fundamentals / 476 -- 19.2.1 Design and Implementation of a Visual Pattern Classifier / 476 -- 19.2.2 Patterns and Pattern Classes / 478 -- 19.2.3 Data Preprocessing / 479 -- 19.2.4 Training and Test Sets / 480 -- 19.2.5 Confusion Matrix / 480 -- 19.2.6 System Errors / 481 -- 19.2.7 Hit Rates, False Alarm Rates, and ROC Curves / 481 -- 19.2.8 Precision and Recall / 482 -- 19.2.9 Distance and Similarity Measures / 485 -- 19.3 Statistical Pattern Classification Techniques / 487 -- 19.3.1 Minimum Distance Classifier / 488 -- 19.3.2 k-Nearest Neighbors Classifier / 490 -- 19.3.3 Bayesian Classifier / 490 -- 19.4 Tutorial 19.1: Pattern Classification / 491 -- 19.5 Problems / 497 -- PART II VIDEO PROCESSING -- 20 VIDEO FUNDAMENTALS 501 -- 20.1 Basic Concepts and Terminology / 501 -- 20.2 Monochrome Analog Video / 507 -- 20.2.1 Analog Video Raster / 507 -- 20.2.2 Blanking Intervals / 508 -- 20.2.3 Synchronization Signals / 509 -- 20.2.4 Spectral Content of Composite Monochrome Analog Video / 509 -- 20.3 Color in Video / 510 -- 20.4 Analog Video Standards / 512 -- 20.4.1 NTSC / 513 -- 20.4.2 PAL / 513 -- 20.4.3 SECAM / 514 -- 20.4.4 HDTV / 514 -- 20.5 Digital Video Basics / 514 -- 20.5.1 Advantages of Digital Video / 515 -- 20.5.2 Parameters of a Digital Video Sequence / 516 -- 20.5.3 The Audio Component / 517 -- 20.6 Analog-to-Digital Conversion / 517 -- 20.7 Color Representation and Chroma Subsampling / 520 -- 20.8 Digital Video Formats and Standards / 521 -- 20.8.1 The Rec. 601 Digital Video Format / 522 -- 20.8.2 The Common Intermediate Format / 523.…”

Tabla de Contenidos: “…An Empirical Case Study of Release Management -- 1 Introduction -- 2 Prior Related Work -- 3 Empirical Background -- 4 Methodological Design -- 5 Results -- 5.1 Release Management at OpenStack -- 6 Discussion -- 7 Conclusion -- References -- Technical Lag in Software Compilations: Measuring How Outdated a Software Deployment Is -- 1 From Upstream to Deployment -- 2 Technical Debt and Technical Lag -- 3 Computing Technical Lag for a Deployment -- 4 Formal Definition of Technical Lag -- 5 Calculating Lag Between Packages -- 6 Discussion and Conclusions -- References -- OSSpal: Finding and Evaluating Open Source Software -- Abstract -- 1 Introduction -- 2 The Business Readiness Rating -- 2.1 Evaluation Categories -- 2.2 Experience and Shortcomings of the BRR -- 3 From BRR to OSSpal -- 3.1 Overview of Changes to the Model -- 3.2 Implementation and the Quick Assessment Tool -- 3.3 A Note About FOSS Quality -- 3.4 Using the OSSpal Site -- 4 Status and Future Directions -- Acknowledgments -- References -- Longitudinal Analysis of the Run-up to a Decision to Break-up (Fork) in a Community -- 1 Introduction -- 2 Related Work -- 3 Research Goals -- 4 Methodology -- 4.1 Data Collection -- 4.2 The Statistical Model -- 5 Results -- 6 Conclusion -- 7 Threats to Validity -- References -- Author Index…”

Tabla de Contenidos: “…Creating reports in Data Studio -- Summary -- Chapter 5: Transforming Your Data -- How to clean and prepare the data -- Google Cloud Dataprep -- Exploring Dataprep console -- Removing empty cells -- Replacing incorrect values -- Mismatched values -- Finding outliers in the data -- Visual functionality -- Statistical information -- Removing outliers -- Run Job -- Scale of features -- Min-max normalization -- z score standardization -- Google Cloud Dataflow -- Summary -- Chapter 6: Essential Machine Learning -- Applications of machine learning -- Financial services -- Retail industry -- Telecom industry -- Supervised and unsupervised machine learning -- Overview of machine learning techniques -- Objective function in regression -- Linear regression -- Decision tree -- Random forest -- Gradient boosting -- Neural network -- Logistic regression -- Objective function in classification -- Data splitting -- Measuring the accuracy of a model -- Absolute error -- Root mean square error -- The difference between machine learning and deep learning -- Applications of deep learning -- Summary -- Chapter 7: Google Machine Learning APIs -- Vision API -- Enabling the API -- Opening an instance -- Creating an instance using Cloud Shell -- Label detection -- Text detection -- Logo detection -- Landmark detection -- Cloud Translation API -- Enabling the API -- Natural Language API -- Speech-to-text API -- Video Intelligence API -- Summary -- Chapter 8: Creating ML Applications with Firebase -- Features of Firebase -- Building a web application -- Building a mobile application -- Summary -- Chapter 9: Neural Networks with TensorFlow and Keras -- Overview of a neural network -- Setting up Google Cloud Datalab -- Installing and importing the required packages -- Working details of a simple neural network -- Backpropagation -- Implementing a simple neural network in Keras…”