Tabla de Contenidos: “…Prerequisites for the installation of Stream Analytics tools -- Development of a Stream Analytics job using Visual Studio -- Defining a Stream Analytics query for Vehicle Telemetry job analysis using Stream Analytics tools -- Query to define Vehicle Telemetry (Connected Car) engine health status and pollution index over cities -- Testing Stream Analytics queries locally or in the cloud -- Stream Analytics job configuration parameter settings in Visual Studio -- Implementation of an Azure Stream Analytics job using the Azure portal -- Provisioning for an Azure Stream Analytics job using the Azure Resource Manager template -- Azure ARM Template - Infrastructure as code -- Getting started with provisioning Azure Stream Analytics job using the ARM template -- Deployment and validation of the Stream Analytics ARM template to Azure Resource Group -- Configuration of the Azure Streaming job with different input data sources and output data sinks -- Data input types-data stream and reference data -- Data Stream inputs -- Reference data -- Job topology output data sinks of Stream Analytics -- Summary -- Chapter 5: Building Using Stream Analytics Query Language -- Built-in functions -- Scalar functions -- Aggregate and analytic functions -- Array functions -- Other functions -- Data types and formats -- Complex types -- Query language elements -- Windowing -- Tumbling windows -- Hopping windows -- Sliding windows -- Time management and event delivery guarantees -- Summary -- Chapter 6: How to achieve Seamless Scalability with Automation -- Understanding parts of a Stream Analytics job definition (input, output, reference data, and job) -- Deployment of Azure Stream Analytics using ARM template -- Configuring input -- Configuring output -- Building the sample test code -- How to scale queries using Streaming units and partitions -- Application and Arrival Time…”

Tabla de Contenidos: “…. -- A.2 Transit Line Systems Inc. -- A.3 The Oasis Car Wash -- Appendix B: Service Models Reference -- Glossary…”

Tabla de Contenidos: “…Software Implementation Project Example -- X3.10. International Car School Competition Project Example -- X3.11. …”

Tabla de Contenidos: “…House and studio (Tsukuba, Japan) / Naito Architect & Associates. Multi-storey car park (Heilbronn, Germany) / Mahler Günster Fuchs. …”

Tabla de Contenidos: “…Conversación con Feliciano Montero / Julio de la Cueva Merino ; Mi experiencia con el maestro Feliciano Montero García (1992-1995) / Chiaki Watanabe -- Bibliografía de Feliciano Montero García -- Historia religiosa contemporánea comparada e internacional -- Una reflexión sobre las relaciones entre religión y modernidad: la escuela católica en perspectiva histórica / Maitane Ostolaza Esnal ; Religión y política en el Porfiriato y la Restauración (1875-1900): una perspectiva comparada / Manuel Suárez Cortina ; La Acción Católica en los regímenes autoritarios: un análisis comparado entre el caso italiano y el caso español / Romina De Carli ; Em busca dos rostas do Estado: o clero paroquial e a construção da administração pública no liberalismo portugués (1833-1910) / Sérgio Ribeiro Pinto ; ¿Por qué un presupuesto de culto? …”

Tabla de Contenidos: “…10.1.2 Safety -- 10.1.3 Cost -- 10.1.4 Temperature Tolerance -- 10.1.5 Shipment and Storage -- 10.1.6 Power Characteristics -- 10.1.7 Environmentally Friendly Technology (Clean Tech) -- 10.1.8 Pressure Tolerance -- 10.1.9 Control -- 10.2 Electric Aircraft -- 10.3 Satellites -- 10.4 Cars -- 10.5 Buses -- 10.6 Trucks -- 10.7 Electric Scooter and Electric Bikes -- 10.8 Marine -- 10.9 Energy Storage -- 10.10 Low‐Temperature Applications -- 10.11 Defense -- 10.12 Looking Ahead -- 10.13 Conclusion -- Chapter 11 Battery Engineering -- 11.1 Mechanical Considerations -- 11.2 Thermal and Electrical Considerations -- References -- Chapter 12 Case Study -- 12.1 Introduction -- 12.2 A Potted History of Eternal Solar Flight -- 12.3 Why Has It Been So Difficult? …”

“…By doing so, engineers can model full frequency vibroacoustic simulations in complex technical systems used in aircraft, trains, cars, ships, and satellites. Indeed, hybrid approaches are increasingly used in the automotive, aerospace, and rail industries. …”

Tabla de Contenidos: “…2.8 Evolution of Networks and Services Towards NGN -- 2.8.1 Significant Stages in Network and Services -- 2.8.2 Network Convergence and Development -- 2.8.3 IP Base Network Management System -- 2.8.4 Service Extension and Network Integration -- 2.9 Advanced Network and Service Management Technologies -- 2.9.1 Technology of Artificial Intelligence -- 2.9.2 Smart Agent Technology -- 2.10 Conclusion -- References -- Chapter 3 Evolution of Next Generation Networks and Its Contribution Towards Industry 5.0 -- 3.1 Introduction -- 3.2 Networks of 4G -- 3.3 5G and its Vision -- 3.3.1 Requirements for 5G -- 3.3.2 Network Architecture -- 3.3.3 Economic Contributions and Networks Intelligent Automation of 5G -- 3.3.3.1 Internet of Things (IoT): Artificial Intelligent Plus 5Generation is a Smart IoT -- 3.3.3.2 Autonomous Vehicles, Smart Cars -- 3.3.3.3 Manufacturing Sector and Smart Factory -- 3.3.3.4 Healthcare Industry -- 3.3.3.5 Smart Grids and Cities -- 3.4 A Vision and a Need for 6G Communications -- 3.4.1 Development Projects -- 3.4.2 System Architecture of 6G -- 3.4.3 Satellite Network of 6G -- 3.5 Emerging of 7G -- Findings -- 3.6 Conclusions -- References -- Chapter 4 Understanding the Salient Features Related To Resource Management in Broadband Wireless Networks -- 4.1 Introduction -- 4.1.1 Network Topology Related to Wireless Networks -- 4.1.2 Challenges in Wireless Broadband Network -- 4.1.3 Radio Channel -- 4.1.4 Scarcity in the Spectrum Utilization -- 4.1.5 Quality of Service (QoS) -- 4.1.6 OFDM with WiMAX Technology -- 4.1.7 Advanced Modulation and Coding Techniques in WiMAX -- 4.1.8 Conclusion -- References -- Chapter 5 Network Routing and Its Real-Time Practice in Broadband Wireless Networks -- 5.1 Introduction -- 5.2 Outline of Broadband Wireless Networking -- 5.2.1 Type of Broadband Wireless Networks -- 5.2.1.1 Fixed Networks -- 5.2.1.2 WiMAX…”

Tabla de Contenidos: “…3.4 Precision of Monte Carlo Method -- 3.4.1 Monitoring Mean and Variance -- 3.4.2 Importance Sampling -- 3.4.3 Correlated Samples -- 3.4.4 Variance Reduction Methods -- 3.5 Markov Chains -- 3.5.1 Markov Processes -- 3.5.2 Discrete Time, Discrete State Space -- 3.5.3 Transition Probability -- 3.5.4 "Sun City" -- 3.5.5 Utility Bills -- 3.5.6 Classification of States -- 3.5.7 Stationary Distribution -- 3.5.8 Reversibility Condition -- 3.5.9 Markov Chains with Continuous State Spaces -- 3.6 Simulation of a Markov Chain -- 3.7 Applications -- 3.7.1 Bank Sizes -- 3.7.2 Related Failures of Car Parts -- References -- 4 Markov Chain Monte Carlo Methods -- 4.1 Markov Chain Simulations for Sun City and Ten Coins -- 4.2 Metropolis-Hastings Algorithm -- 4.3 Random Walk MHA -- 4.4 Gibbs Sampling -- 4.5 Diagnostics of MCMC -- 4.5.1 Monitoring Bias and Variance of MCMC -- 4.5.2 Burn-in and Skip Intervals -- 4.5.3 Diagnostics of MCMC -- 4.6 Suppressing Bias and Variance -- 4.6.1 Perfect Sampling -- 4.6.2 Adaptive MHA -- 4.6.3 ABC and Other Methods -- 4.7 Time-to-Default Analysis of Mortgage Portfolios -- 4.7.1 Mortgage Defaults -- 4.7.2 Customer Retention and Infinite Mixture Models -- 4.7.3 Latent Classes and Finite Mixture Models -- 4.7.4 Maximum Likelihood Estimation -- 4.7.5 A Bayesian Model -- References -- PART II Modeling Dependence -- 5 Statistical Dependence Structures -- 5.1 Introduction -- 5.2 Correlation -- 5.2.1 Pearson's Linear Correlation -- 5.2.2 Spearman's Rank Correlation -- 5.2.3 Kendall's Concordance -- 5.3 Regression Models -- 5.3.1 Heteroskedasticity -- 5.3.2 Nonlinear Regression -- 5.3.3 Prediction -- 5.4 Bayesian Regression -- 5.5 Survival Analysis -- 5.5.1 Proportional Hazards -- 5.5.2 Shared Frailty -- 5.5.3 Multistage Models of Dependence -- 5.6 Modeling Joint Distributions -- 5.6.1 Bivariate Survival Functions -- 5.6.2 Bivariate Normal…”

Tabla de Contenidos: “…-- Blockchain for Education: A New Credentialing Ecosystem -- Understanding blockchain technology -- Benef its of blockchain for educational credentialing -- Real-World implementations -- Driving change -- Conclusion -- Authors -- Figures -- Figure 1.1 Digitalisation at the Luwan No 1 Central Primary School in Shanghai -- Figure 1.2 The "digital classroom" system at Tongji University's first demonstration high school -- Figure 3.1 Six levels of automation towards the self-driving car -- Figure 3.2 Six levels of automation of personalised learning -- Figure 3.3 Three challenges for high-performance education with AI -- Figure 3.4 Multimodal data source to track learners and their environment -- Figure 3.5 Three types of interventions in domain independent actions -- Figure 3.6 Problems and dashboards in Snappet -- Figure 3.7 Problems and dashboards in MATHia -- Figure 3.8 Personalised remedial activities to learn decimals based on error patterns -- Figure 3.9 The Moment-by-Moment Learning Algorithm…”

Tabla de Contenidos: “…Training a fully connected layer as a convolution layer -- Convolution implementation of sliding window -- Thinking about localization as a regression problem -- Applying regression to other problems -- Combining regression with the sliding window -- Detecting objects -- Regions of the convolutional neural network (R-CNN) -- Fast R-CNN -- Faster R-CNN -- Single shot multi-box detector -- Object detection API -- Installation and setup -- Pre-trained models -- Re-training object detection models -- Data preparation for the Pet dataset -- Object detection training pipeline -- Training the model -- Monitoring loss and accuracy using TensorBoard -- Training a pedestrian detection for a self-driving car -- The YOLO object detection algorithm -- Summary -- Chapter 5: Semantic Segmentation -- Predicting pixels -- Diagnosing medical images -- Understanding the earth from satellite imagery -- Enabling robots to see -- Datasets -- Algorithms for semantic segmentation -- The Fully Convolutional Network -- The SegNet architecture -- Upsampling the layers by pooling -- Sampling the layers by convolution -- Skipping connections for better training -- Dilated convolutions -- DeepLab -- RefiNet -- PSPnet -- Large kernel matters -- DeepLab v3 -- Ultra-nerve segmentation -- Segmenting satellite images -- Modeling FCN for segmentation -- Segmenting instances -- Summary -- Chapter 6: Similarity Learning -- Algorithms for similarity learning -- Siamese networks -- Contrastive loss -- FaceNet -- Triplet loss -- The DeepNet model -- DeepRank -- Visual recommendation systems -- Human face analysis -- Face detection -- Face landmarks and attributes -- The Multi-Task Facial Landmark (MTFL) dataset -- The Kaggle keypoint dataset -- The Multi-Attribute Facial Landmark (MAFL) dataset -- Learning the facial key points -- Face recognition…”

Tabla de Contenidos: “…The global population is growing, but at a slower pace -- Population growth vs. economic growth vs. energy demand growth -- The "Diplomatic" demand clause -- Notes -- Chapter 10 Flattener #7 - Demand Destruction -- More with less -- The "Invisible Hand" of efficiency -- The "Visible Hand" of efficiency -- Note -- Chapter 11 Flattener #8 - Demand Displacement -- The Battle for Transportation Demand -- What the production engineers missed -- The "Challengers" -- Biofuels -- Natural gas -- Bi-fuel engines -- Coal to liquids (CTL) and gas to liquids (GTL) -- Electric vehicles (EVs) and hybrids (HEVs) -- Air transportation -- Sea transportation -- The end of crude oil's monopoly in transportation -- #1 Upfront cost -- #2 Running cost -- #3 Range and convenience -- The "Chicken and Egg" of Refuelling Stations -- Re-fuelling at home -- #4 Performance -- #5 Environment and subsidies -- #6 Safety -- #7 Security of supply -- The new frontier: hydrogen fuel -- "Who killed the electric car?" -- #1 Government bail-outs and subsidies -- #2 The tax cash cow -- #3 The wrong model for the industry? …”

Tabla de Contenidos: “…-- One-shot -- Retriggered -- Retriggered with Tail -- Loop with Tail -- Looping Beam Weapons -- Projectiles -- Feedback -- Environment and Distance Elements -- Environment Layers -- Distance Layers -- Bullets -- Impacts -- Casings -- Whizzbys -- Conclusion -- 10 Advanced: Vehicles -- Introduction -- Simple Velocity to Pitch -- Crossfading Elements -- Pitch Curves for Automatic Gears -- Smooth Operator -- Surface/Tire Layers -- Skids -- Additional Elements -- Engage/Disengage -- Turbo Dump -- Impact and Damage Layer -- Wind Layer -- Engine Load/Stress Layer -- Car Body Movement or Suspension Layer -- Vehicle Cameras -- Conclusion -- 11 Advanced: Sports Dialogue and Crowds -- Introduction -- Crowd Systems -- Randomized Crowd -- Crowd Excitement Levels -- Commentary -- Color Commentary -- Concatenated Dialogue for Play-by-play Commentary -- Considerations for Concatenated Dialogue -- Dialogue Queues -- Conclusion -- 12 Advanced: Music -- Introduction -- Harmonically and Rhythmically Aware Stingers -- Harmonically Appropriate Stingers -- Rhythmically-synched Stingers -- Sequenced Melodies -- Play for Proximity -- Chained Melodic Pickups -- Algorithmic or Procedural Forms -- Generative Combinations -- Granular Note-level Sequences -- Using Random Seeds…”

Tabla de Contenidos: “…by Dr Eleri Rosier, Cardiff University -- 5 Consumer markets and buyer behaviour -- Chapter preview -- Learning outcomes -- Model of consumer behaviour -- Characteristics affecting consumer behaviour -- Cultural factors -- Social factors -- Personal factors -- Psychological factors -- Types of buying decision behaviour -- Complex buying behaviour -- Dissonance-reducing buying behaviour -- Habitual buying behaviour -- Variety-seeking buying behaviour -- The buyer decision process -- Need recognition -- Information search -- Evaluation of alternatives -- Purchase decision -- Post-purchase behaviour -- The buyer decision process for new products -- Stages in the adoption process -- Individual differences in innovativeness -- Influence of product characteristics on rate of adoption -- Learning outcomes review -- Navigating the key terms -- Discussion and critical thinking -- Discussion the concepts -- Critical-thinking exercises -- Mini-cases and applications -- Online, mobile and social media marketing: digital influencer credibility -- Marketing ethics: ultimate water -- Marketing by numbers: evaluating alternatives -- Video case: IMG Worldwide -- References -- Company case: Porsche: guarding the old while bringing in the new -- 6 Business markets and business buyer behaviour -- Chapter preview -- Learning outcomes -- Business markets -- Market structure and demand -- Nature of the buying unit -- Types of decisions and the decision process -- Business buyer behaviour -- Major types of buying situations -- Participants in the business buying process -- Major influences on business buyers -- The business buying process -- Engaging business buyers with digital and social marketing -- E-procurement and online purchasing -- Business-to-business digital and social media marketing -- Institutional and government markets -- Institutional markets -- Government markets -- Learning outcomes review -- Navigating the key terms -- Discussion and critical thinking -- Discussing the concepts -- Critical-thinking exercises -- Mini-cases and applications -- Online, mobile and social media marketing: e-procurement and mobile procurement -- Marketing ethics: commercial bribery -- Marketing by numbers: salespeople -- Video case: Eaton -- References -- Company case: Procter &amp -- Gamble: treating business customers as strategic partners -- Part 3 Designing a customer value-driven strategy and mix -- 7 Customer-driven marketing strategy: creating value for target customers -- Chapter preview -- Learning outcomes -- Customer-driven marketing strategy -- Market segmentation -- Segmenting consumer markets -- Segmenting business markets -- Segmenting international markets -- Requirements for effective segmentation -- Market targeting -- Evaluating market segments -- Selecting target market segments -- Differentiation and positioning -- Positioning maps -- Choosing a differentiation and positioning strategy -- Communicating and delivering the chosen position -- Learning outcomes review -- Navigating the key terms -- Discussion and critical thinking -- Discussing the concepts -- Critical-thinking exercises -- Mini-cases and applications -- Online, mobile and social media marketing: get your Groupon -- Marketing ethics: unrealistic bodies -- Marketing by numbers: USAA -- References -- Company case: Volvo cars -- 8 Products, services and brands: building customer value -- Chapter preview -- Learning outcomes -- What is a product? …”

Tabla de Contenidos: “…Protective failure -- Continuous protection -- Redundancy -- Use of standardized cryptography -- Summary -- Further reading -- Chapter 3: Threat Landscape against Vehicle Components -- Threats against external vehicle interfaces -- Backend-related threats -- Connectivity threats -- Threats against the E/E topology -- Highly distributed E/E architecture -- Domain-centralized E/E architecture -- Central vehicle computer architecture -- Threats against in-vehicle networks -- CAN -- FlexRay -- Ethernet -- The Unified Diagnostic Services (UDS) protocol -- SAE J1939 protocols -- SAE J2497 (PLC4TRUCKS) -- Threats against sensors -- Common ECU threats -- Debug ports -- Flash programming -- Power and mode manipulation -- Tampering with machine learning algorithms -- Software attacks -- Disclosure and tampering of cryptographic keys -- Summary -- References -- Part 2: Understanding the Secure Engineering Development Process -- Chapter 4: Exploring the Landscape of Automotive Cybersecurity Standards -- Primary standards -- UNECE WP.29 -- Chinese regulation and standardization -- Secondary standards -- IATF 16949:2016 -- Automotive SPICE (ASPICE) -- Trusted Information Security Assessment Exchange (TISAX) -- SAE J3101 - hardware-protected security for ground vehicles -- Coding and software standards -- NIST cryptographic standards -- Supporting standards and resources -- MITRE Common Weakness Enumeration (CWE) -- US DoT NHTSA Cybersecurity Best Practices for the Safety of Modern Vehicles -- ENISA good practices for the security of smart cars -- SAE J3061 - cybersecurity guidebook for cyber-physical vehicle systems -- ISO/IEC 27001 -- NIST SP 800-160 -- Uptane -- Summary -- References -- Chapter 5: Taking a Deep Dive into ISO/SAE21434 -- Notations -- At a glance - the ISO 21434 standard -- Organizational cybersecurity management -- Management systems…”

Tabla de Contenidos: “…Tuning the hyperparameters using conventional versus genetic grid search -- Testing the classifier's default performance -- Running the conventional grid search -- Running the genetic-algorithm-driven grid search -- Tuning the hyperparameters using a direct genetic approach -- Hyperparameter representation -- Evaluating the classifier accuracy -- Tuning the hyperparameters using genetic algorithms -- Dedicated libraries -- Summary -- Further reading -- Chapter 9: Architecture Optimization of Deep Learning Networks -- Technical requirements -- ANNs and DL -- MLP -- DL and convolutional NNs -- Optimizing the architecture of a DL classifier -- The Iris flower dataset -- Representing the hidden layer configuration -- Evaluating the classifier's accuracy -- Optimizing the MLP architecture using genetic algorithms -- Combining architecture optimization with hyperparameter tuning -- Solution representation -- Evaluating the classifier's accuracy -- Optimizing the MLP's combined configuration using genetic algorithms -- Summary -- Further reading -- Chapter 10: Reinforcement Learning with Genetic Algorithms -- Technical requirements -- Reinforcement learning -- Genetic algorithms and reinforcement learning -- Gymnasium -- The env interface -- Solving the MountainCar environment -- Solution representation -- Evaluating the solution -- The Python problem representation -- Genetic algorithms solution -- Solving the CartPole environment -- Controlling the CartPole with a neural network -- Solution representation and evaluation -- The Python problem representation -- A genetic algorithm solution -- Summary -- Further reading -- Chapter 11: Natural Language Processing -- Technical requirements -- Understanding NLP -- Word embeddings -- Word embeddings and genetic algorithms -- Finding the mystery word using genetic algorithms -- Python implementation…”

Tabla de Contenidos: “…Paolo Barresi: La “colonna coclide” di Catania: una testimonianza delle officine marmorarie neoattiche in Sicilia. daniele Malfitana y carMela franco: “Archeologia dell’artigianato” nella provincia Sicilia: Nuove prospettive di indagine dal “Roman Sicily Project: ceramics and trade ”. …”

Tabla de Contenidos: “…-- Volunteering to Do More -- Engagement Kicks in When Flying Monkeys Are Kicked Out -- Engage Yourself -- Go HeadsUp -- A Total Ecosystem Approach -- Chapter 4 Fair Trade: An "F" You Should Be Proud Of -- Fair Is as Fair Does -- Aussie Rules -- Fairest of Them All - Give the Gift of Time -- Fair Trade in Action: Eight Active Management Behaviors -- AMB 1: Promote Health and Safety -- AMB 2: Agree on the "What" - Jointly Set Expectations -- AMB 3: Support the "How" - Guide, but Don't Drive the Car -- AMB 4: Check In - How Are We Doing? -- AMB 5: Agree on the Progress Made and the Progress Still to Come -- AMB 6: Give Coaching and Support -- AMB 7: Problem Solve and Decide -- AMB 8: Datacation - How Did We Perform Overall? …”

Tabla de Contenidos: “…PostgreSQL identifiers -- Documentation -- Version control system -- Database migration tool -- PostgreSQL objects hierarchy -- Template databases -- User databases -- Roles -- Tablespace -- Template procedural languages -- Settings -- PostgreSQL high-level object interaction -- PostgreSQL database components -- Schema -- Schema usages -- Table -- PostgreSQL native data types -- Numeric types -- Character types -- Date and time types -- The car web portal database -- Summary -- Chapter 4: PostgreSQL Advanced Building Blocks -- Views -- View synopsis -- View categories -- Materialized views -- Updatable views -- Indexes -- Index synopsis -- Index selectivity -- Index types -- Index categories -- Best practices on indexes -- Functions -- PostgreSQL native programming language -- Creating a function in the C language -- Function usages -- Function dependency -- PostgreSQL function categories -- PostgreSQL anonymous functions -- User-defined data types -- Triggers and rule systems -- Rule system -- Trigger system -- Triggers with arguments -- Triggers and updatable views -- Summary -- Chapter 5: SQL Language -- SQL fundamentals -- SQL lexical structure -- Querying data with SELECT statements -- Structure of a SELECT query -- Select-list -- SQL expressions -- DISTINCT -- FROM clause -- Selecting from multiple tables -- Self-joins -- The WHERE clause -- Comparison operators -- Pattern matching -- Row and array comparison constructs -- Grouping and aggregation -- The GROUP BY clause -- The HAVING clause -- Ordering and limiting the results -- Subqueries -- Set operations - UNION, EXCEPT, and INTERSECT -- Dealing with NULLs -- Changing the data in the database -- INSERT statement -- The UPDATE statement -- UPDATE using sub-select -- UPDATE using additional tables -- The DELETE statement -- The TRUNCATE statement -- Summary…”

Tabla de Contenidos: “…Setting up equations for further action -- Making plans for solving equations -- Keeping Equations Balanced -- Balancing with binary operations -- Squaring both sides and suffering the consequences -- Taking a root of both sides -- Solving with Reciprocals -- Making a List and Checking It Twice -- Doing a reality check -- Thinking like a car mechanic when checking your work -- Practice Problems Answers and Explanations -- Whaddya Know? …”