“…The present paper focuses on the concept of a linear motor for tram operation without overhead lines. …”

“…Le titre de ces Journées d’Études réunit deux figures très différentes, deux héros d’inégale stature. L’un, Epeios, fut, certes, le génial menuisier du Cheval de Troie, mais son lancer du disque provoque le rire chez les Achéens (Ii., XXIII, 840); et il ne devait guère impressionner les compagnons de Simonide lorsqu’à Karthea ils donnèrent son nom à l’âne qui leur montait l’eau (Ath., X, 456 f). …”

“…Ce livre est aussi une étude de la tragédie classique, du grand Corneille, de l’inégalable Racine qui, dans une langue sublime, à l’avance ont voulu nous consoler, par la beauté, des peines et de l’inquiétude d’être sujets. -- Contracubierta…”

Tabla de Contenidos: “….) -- 4.5.3 Interfaces -- 4.5.4 Protocolos -- 4.6 CALIDAD DE SERVICIO (QOS) -- 4.7 SERVICIO DE VOZ EN LTE -- 4.8 MECANISMOS DE SEGURIDAD -- 4.9 COEXISTENCIA DE LTE CON UMTS Y GSM -- 4.10 MEJORAS DE LTE-ADVANCED -- 4.11 EL PROTOCOLO IPV6 -- 4.11.1 Movilidad PMIPv6 -- 4.11.2 La transición a IPv6 -- 5 APLICACIONES -- 5.1 COMPARTICIÓN DE REDES MÓVILES -- 5.1.1 Modos de compartir una red móvil -- 5.2 COMUNICACIONES M2M -- 5.2.1 Las tecnologías utilizadas -- 5.2.2 Las múltiples aplicaciones M2M -- 5.3 VOIP MÓVIL -- 5.3.1 Ahorro de costes -- 5.3.2 La situación legal -- 5.4 TELEVISIÓN EN EL MÓVIL -- 5.4.1 La televisión digital en movilidad -- 5.4.2 El estándar DVB-H -- 5.5 TECNOLOGÍA DE PROXIMIDAD NFC -- 5.5.1 Algunas experiencias -- 5.5.2 La tecnología de contacto NFC -- 5.6 USO DEL MÓVIL EN LOS AVIONES -- 5.6.1 Prohibición de usar los teléfonos móviles a bordo -- 5.6.2 Tecnología empleada -- 5.7 CÓDIGOS 2D EN EL MÓVIL -- 5.7.1 Características generales y aplicaciones -- 5.7.2 Cómo generar un código QR -- 5.8 GEOLOCALIZACIÓN Y POSICIONAMIENTO -- 5.8.1 Funcionamiento -- 5.8.2 Algunos servicios -- 5.9 FEMTOCELDAS -- 5.9.1 Convergencia fijo-móvil -- 5.9.2 Tecnología…”

Tabla de Contenidos: “…Backward Looking Variables and Solutions of General Dynamic Rational Expectations Models -- D.1 Forward and Backward Solutions of Linear Differential Equations -- D.2 The Leibnitz Rule: Differentiating a Definite Integral -- D.3 Backward and Forward Looking Variables -- D.4 Forward Looking Variables, Rational Expectations and Dynamic Stability -- D.5 Solutions to General Dynamic Rational Expectations Models -- E Kalecki's Theory of Profits -- Symbol Glossary -- Bibliography…”

Tabla de Contenidos: “…Strukturelles Vollzugsdefizit im Zusammenhang mit Videoplattformen -- a) Insbesondere kommerzielle Kommunikation -- b) Überregulierung linearer Angebote -- c) Zusammenfassung -- 2 Die Überarbeitung der AVMD-Richtlinie ab 2016 -- I. …”

Tabla de Contenidos: “…132 -- 4.10 Review Questions and Problems 136 -- 4.11 References for Further Study 138 -- 5 STATISTICAL METHODS 140 -- 5.1 Statistical Inference 141 -- 5.2 Assessing Differences in Data Sets 143 -- 5.3 Bayesian Inference 146 -- 5.4 Predictive Regression 149 -- 5.5 ANOVA 155 -- 5.6 Logistic Regression 157 -- 5.7 Log-Linear Models 158 -- 5.8 LDA 162 -- 5.9 Review Questions and Problems 164 -- 5.10 References for Further Study 167 -- 6 DECISION TREES AND DECISION RULES 169 -- 6.1 Decision Trees 171 -- 6.2 C4.5 Algorithm: Generating a Decision Tree 173 -- 6.3 Unknown Attribute Values 180 -- 6.4 Pruning Decision Trees 184.…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Dedication -- Contents -- Preface -- Acknowledgements -- 1 Introduction -- 1.1 Graph Theory: A Tool for Reliability Evaluation -- 1.1.1 Undirected Networks -- 1.1.2 Directed Networks -- 1.1.3 Mixed Networks -- 1.2 Large versus Complex System -- 1.2.1 Large System -- 1.2.2 Complex System -- 1.2.3 Large and Complex System -- 1.3 Network Reliability Measures: Deterministic versus Probabilistic -- 1.3.1 Terminal-pair Reliability Measure -- 1.3.2 All-Terminal Reliability Measure -- 1.3.3 k-terminal Reliability Measure -- 1.4 Common Assumptions -- 1.5 Approaches for NSP Network Reliability Evaluation -- 1.5.1 Non Path or Cut Sets Based Techniques -- 1.5.1.1 State Enumeration Technique -- 1.5.1.2 Network Decomposition Technique -- 1.5.1.3 Probability Transformation Technique -- 1.5.1.4 Binary Decision Diagram Based Technique -- 1.5.2 Minimal POC Based Techniques -- 1.5.2.1 Inclusion-Exclusion Technique -- 1.5.2.2 Monte-Carlo Simulation Based Technique -- 1.5.2.3 Domination Theory Based Technique -- 1.5.2.4 Reliability Bounds Technique -- 1.5.2.5 Sum-of-disjoint Product Based Technique -- Exercises -- References -- 2 Reliability Evaluation of General SP-Networks -- 2.1 Notation and Assumptions -- 2.2 Unit-Reliability and Failure Models -- 2.2.1 Constant-Hazard Model -- 2.2.2 Linear-Hazard Model -- 2.2.3 Weibull-Hazard Model -- 2.2.4 Extreme Value-Hazard Model -- 2.3 Module Representation of Reliability Graphs -- 2.3.1 Single-Unit Module -- 2.3.2 Multi-Unit Module -- 2.3.2.1 Series Model -- 2.3.2.2 Parallel Model -- 2.3.2.3 Standby Model -- 2.3.2.4 k-out-of-m Model -- 2.4 Misra Matrix Method -- 2.5 Algorithm -- 2.6 Implementation and Documentation -- 2.6.1 Main Module -- 2.6.2 Function formCmat -- 2.6.3 Function processCmat -- 2.6.4 Function systDetail -- 2.7 Remarks -- Exercises -- References -- 3 Path Sets Enumeration…”

Tabla de Contenidos: “…7.2 Wireless Network Microeconomics: Data Sponsoring 286 -- 7.3 Spectrum Pricing for Market Equilibrium 291 -- 7.4 Sequential Spectrum Sharing 300 -- 7.5 Data Plan Trading 308 -- References 315 -- 8 Multi-Hop Cellular Networks 318 -- 8.1 Modeling Multi-Hop Multi-Operator Multi-Technology Wireless Networks 318 -- 8.2 Technology Background 319 -- 8.3 System Model and Notation 321 -- 8.4 m3 Route Discovery Protocols 323 -- 8.5 Performance of m3 Route Discovery Protocols 327 -- 8.6 Protocol Complexity 329 -- 8.7 Traffic Offloading Incentives 330 -- 8.8 Performance Illustrations 335 -- References 344 -- 9 Cognitive Networks 346 -- 9.1 Technology Background 346 -- 9.2 Spectrum Auctions for Multi-hop Cognitive Networks 350 -- 9.3 Compound Auctioning in Multi-hop Cognitive Cellular Networks 363 -- References 388 -- 10 Stochastic Geometry 391 -- 10.1 Background Theory 391 -- References 398 -- 11 Heterogeneous Networks 402 -- 11.1 Preliminaries 402 -- 11.2 Self-Organized Small Cell Networks 404 -- 11.3 Dynamic Network Architecture 411 -- 11.4 Economics of Heterogeneous Networks 434 -- References 443 -- 12 Access Point Selection 446 -- 12.1 Background Technology 446 -- 12.2 Network Selection Game 449 -- 12.3 Joint Access Point Selection and Power Allocation 453 -- 12.4 Joint AP Selection and Beamforming Optimization 463 -- References 474 -- 13 Self-Organizing Networks 478 -- 13.1 Self-Organizing Network Optimization 478 -- 13.2 System Model 478 -- 13.3 Joint Optimization of Tilts and AP Association 481 -- References 484 -- 14 Complex Networks 486 -- 14.1 Evolution Towards Large-Scale Networks 486 -- 14.2 Network Characteristics 491 -- 14.3 Random Graphs 494 -- References 496 -- 15 Massive MIMO 499 -- 15.1 Linearly Precoded Multicellular Downlink System 499 -- 15.2 System Model 503 -- 15.3 Optimization for Perfect Channel State Information 505 -- 15.4 Robust Designs for WSRM Problem 509 -- Appendix A.15 519 -- Appendix B.15 519 -- References 521 -- 16 Network Optimization Theory 523.…”

Tabla de Contenidos: “…Cover -- Copyright and Credits -- Dedication -- Packt Upsell -- Foreword -- Contributors -- Table of Contents -- Preface -- Chapter 1: The Building Blocks of Deep Learning -- The deep neural network architectures -- Neurons -- The neuron linear function -- Neuron activation functions -- The loss and cost functions in deep learning -- The forward propagation process -- The back propagation function -- Stochastic and minibatch gradient descents -- Optimization algorithms for deep learning -- Using momentum with gradient descent -- The RMSProp algorithm -- The Adam optimizer -- Deep learning frameworks -- What is TensorFlow? …”

Tabla de Contenidos: “…Model deployment -- Summary -- Clients Chapter 8: Subscription Assessment for Bank Telemarketing using Deep Neural Networks -- Client subscription assessment through telemarketing -- Dataset description -- Installing and getting started with Apache Zeppelin -- Building from the source -- Starting and stopping Apache Zeppelin -- Creating notebooks -- Exploratory analysis of the dataset -- Label distribution -- Job distribution -- Marital distribution -- Education distribution -- Default distribution -- Housing distribution -- Loan distribution -- Contact distribution -- Month distribution -- Day distribution -- Previous outcome distribution -- Age feature -- Duration distribution -- Campaign distribution -- Pdays distribution -- Previous distribution -- emp_var_rate distributions -- cons_price_idx features -- cons_conf_idx distribution -- Euribor3m distribution -- nr_employed distribution -- Statistics of numeric features -- Implementing a client subscription assessment model -- Hyperparameter tuning and feature selection -- Number of hidden layers -- Number of neurons per hidden layer -- Activation functions -- Weight and bias initialization -- Regularization -- Summary -- Chapter 9: Fraud Analytics Using Autoencoders and Anomaly Detection -- Outlier and anomaly detection -- Autoencoders and unsupervised learning -- Working principles of an autoencoder -- Efficient data representation with autoencoders -- Developing a fraud analytics model -- Description of the dataset and using linear models -- Problem description -- Preparing programming environment -- Step 1 - Loading required packages and libraries -- Step 2 - Creating a Spark session and importing implicits -- Step 3 - Loading and parsing input data -- Step 4 - Exploratory analysis of the input data -- Step 5 - Preparing the H2O DataFrame -- Step 6 - Unsupervised pre-training using autoencoder…”

Tabla de Contenidos: “…Algorithms and Complexity -- Sometimes the Jar Has No Quarters -- How Algorithms Scale -- An Algorithm with Linear Complexity -- Exponential and Superexponential Complexity -- Sublinear Complexity -- Constant Complexity -- Technical Definitions of Complexity -- Polynomial and Nonpolynomial Complexity -- Comparing Complexities -- Classic Algorithms and Algorithmic Strategies -- Selection sort -- O(n log n) Sorting Algorithms -- Quick sort -- Faster Sorting Algorithms -- String Searching -- A Practical Application -- The Algorithmic Complexity of LISLP -- An Algorithm for LISLP with Θ(n log n) Complexity -- Solving the Longest Increasing Subsequence Length Problem in T-SQL -- Conclusion -- 6. …”

Tabla de Contenidos: “…-- Homework -- Summary -- Chapter 5: The Secret Ingredient Is a Dash of Physics -- Getting ready -- Physics in video games -- Physics - basics -- World coordinates and local coordinates -- Velocity -- Mass -- Centre of mass -- Kinematics -- Dynamics -- Force and torque -- Collisions -- Rigid body -- Friction - linear and angular drag -- The Unity Physics engine -- Understanding Physics in Unity -- Physics settings in Unity -- Physics components -- Rigidbodies -- How a Rigidbody 2D works -- Body types -- Rigidbody properties -- Dealing with rigidbodies -- Colliders -- Dealing with colliders -- Joints -- Main properties of Joints -- The other rigidbody -- Breaking joints -- Specific joints -- Distance Joint 2D -- Fixed Joint 2D -- Friction Joint 2D -- Hinge Joint 2D -- Relative Joint 2D -- Slider Joint 2D -- Spring Joint 2D -- Target Joint 2D -- Wheel Joint 2D -- Effectors -- Constant Force 2D -- Area Effector 2D -- Buoyancy Effector 2D -- Point Effector 2D -- Platform Effector 2D -- Surface Effector 2D -- Physics Material 2D -- Dealing with physics in Unity -- Other things about Physics -- The Simulate setting on rigidbodies -- Physics Raycaster 2D component -- The other Physics settings -- Gizmos for colliders -- Physics for our game -- Set up Pandas as a rigidbodies -- Set up projectiles as rigidbodies -- Detect sprinkles -- Homework -- Summary -- Chapter 6: Through a Sea of Sprinkles - Navigation in Artificial Intelligence -- Getting ready -- Introduction to artificial intelligence -- The importance of artificial intelligence in video games -- Navigation -- Aspects of navigation -- Pathfinding and its techniques -- Waypoints for enemies -- Getting the waypoint coordinates…”

Tabla de Contenidos: “…4.6 Summary 66 -- 5 Robust Neural Controller Design for Robot Arm Control 67 -- 5.1 Introduction 67 -- 5.2 Problem Formulation 68 -- 5.3 Dual Neural Networks for the Nominal System 69 -- 5.3.1 Neural Network Design 69 -- 5.3.2 Convergence Analysis 71 -- 5.4 Neural Design in the Presence of Noises 72 -- 5.4.1 Polynomial Noises 72 -- 5.4.1.1 Neural Dynamics 73 -- 5.4.1.2 Practical Considerations 77 -- 5.4.2 Special Cases 78 -- 5.4.2.1 Constant Noises 78 -- 5.4.2.2 Linear Noises 80 -- 5.5 Simulations 81 -- 5.5.1 Simulation Setup 81 -- 5.5.2 Nominal Situation 81 -- 5.5.3 Constant Noises 82 -- 5.5.4 Time-Varying Polynomial Noises 86 -- 5.6 Summary 86 -- 6 Using Neural Networks to Avoid Robot Singularity 87 -- 6.1 Introduction 87 -- 6.2 Preliminaries 89 -- 6.3 Problem Formulation 90 -- 6.3.1 Manipulator Kinematics 90 -- 6.3.2 Manipulability 90 -- 6.3.3 Optimization Problem Formulation 91 -- 6.4 Reformulation as a Constrained Quadratic Program 91 -- 6.4.1 Equation Constraint: Speed Level Resolution 91 -- 6.4.2 Redefinition of the Objective Function 92 -- 6.4.3 Set Constraint 93 -- 6.4.4 Reformulation and Convexification 94 -- 6.5 Neural Networks for Redundancy Resolution 95 -- 6.5.1 Conversion to a Nonlinear Equation Set 95 -- 6.5.2 Neural Dynamics for Real-Time Redundancy Resolution 96 -- 6.5.3 Convergence Analysis 96 -- 6.6 Illustrative Examples 98 -- 6.6.1 Manipulability Optimization via Self Motion 98 -- 6.6.2 Manipulability Optimization in Circular Path Tracking 99 -- 6.6.3 Comparisons 102 -- 6.6.4 Summary 104 -- Part II Neural Networks for Parallel Robot Control 105 -- 7 Neural Network Based Stewart Platform Control 107 -- 7.1 Introduction 107 -- 7.2 Preliminaries 108 -- 7.3 Robot Kinematics 109 -- 7.3.1 Geometric Relation 109 -- 7.3.2 Velocity Space Resolution 111 -- 7.4 Problem Formulation as Constrained Optimization 112 -- 7.5 Dynamic Neural Network Model 113 -- 7.5.1 Neural Network Design 113 -- 7.6 Theoretical Results 115 -- 7.6.1 Optimality 115 -- 7.6.2 Stability 116.…”

Tabla de Contenidos: “…2.8.6 Keller -- 2.9 Übungsfragen -- Kapitel 3: Bearbeitungsfunktionen der Basiselemente -- 3.1 3D-Ansicht für einzelne Geschosse erstellen -- 3.2 Das Register »Ändern« -- 3.2.1 Gruppe »Auswählen« -- 3.2.2 Gruppe »Eigenschaften« -- 3.2.3 Gruppe »Zwischenablage« -- 3.2.4 Gruppe »Geometrie« -- 3.2.5 Gruppe »Ändern« -- 3.2.6 Gruppe »Ansicht« -- 3.2.7 Gruppe »Messen« -- 3.2.8 Gruppe »Erstellen« -- 3.3 Geschossdecken bearbeiten -- 3.3.1 Geschossdecke am Dach begrenzen -- 3.3.2 Bodenplatte im Keller bearbeiten -- 3.4 Wände bearbeiten -- 3.4.1 Die Geschoss-Schnitthöhe -- 3.4.2 Wandtyp ändern -- 3.4.3 Wände löschen, ergänzen und verschieben -- 3.4.4 Verschieben mit und ohne Befehl -- 3.4.5 Wände fixieren, Profil anpassen und Verbinden-Werkzeug -- 3.4.6 Wände in Laufrichtung verbinden -- 3.5 Fenster bearbeiten -- 3.5.1 Eigenschaften bearbeiten -- 3.5.2 Fenster aus Bibliotheken -- 3.6 Türen bearbeiten -- 3.7 Geschosse kopieren -- 3.8 Übungsfragen -- Kapitel 4: Bemaßungen, Höhenkoten, Texte und Beschriftungen -- 4.1 Die Bemaßungsbefehle -- 4.2 Die ausgerichtete Bemaßung -- 4.2.1 Beispiel für ausgerichtete Bemaßung -- 4.2.2 Maßkette bearbeiten -- 4.2.3 Weitere Maßketten -- 4.3 Die lineare Bemaßung -- 4.4 Winkelbemaßung -- 4.5 Radius- und Durchmesserbemaßungen -- 4.6 Bogenlängenbemaßung -- 4.7 Höhenkoten -- 4.8 Punktkoordinate -- 4.9 Neigungskote -- 4.10 Text und Hinweistext -- 4.11 Bauteile beschriften -- 4.11.1 Automatische Element-Beschriftungen -- 4.11.2 Element-Bauelement -- 4.11.3 Material-Bauelement -- 4.12 Übungsfragen -- Kapitel 5: Gelände, Höhenausrichtung, Nord-Richtung -- 5.1 Gelände -- 5.2 Kellersohle -- 5.3 Baugrube -- 5.4 Weitere Geländewerkzeuge -- 5.5 Geografische Position -- 5.6 Projekt auf echte Höhe verschieben -- 5.7 Ausrichten nach der Himmelsrichtung -- 5.7.1 Nordpfeil -- 5.8 Übungsfragen -- Kapitel 6: Ansichten, Pläne und Plot…”

Tabla de Contenidos: “…Hardware Application Layer -- Android Sensor Types and Modes -- Android Sensor Fusion/Virtual Sensors -- Sensor Hub Software and Firmware Architecture -- Viper Kernel -- Sensor Drivers -- Sensor HAL -- Sensor Core -- Static data model -- Running thread model -- Sensor Client -- Protocol Interface -- Firmware and Application Loading Process -- Context-Aware Framework -- Power-Saving Firmware Architecture -- References -- 7 Sensor validation and hardware-software codesign -- Validation Strategies and Challenges -- Generic Validation Phases -- Design for Quality and Technical Readiness -- Presilicon Simulation -- Prototyping -- System Validation -- Analog Validation -- Compatibility Validation -- Software/Firmware Validation -- Product Qualification -- Silicon Debug -- Sensor Hub Presilicon Validation -- Monitor -- Checker -- Scoreboard -- Sequencer -- Driver -- Sensor Hub Prototyping -- QEMU (Quick Emulator) -- FPGA Platform -- Sensor Test Card Solutions -- Test Board With Physical Sensors -- Software Sensor Simulator -- Simulation manager -- Sensor simulator manager -- Sensor simulator -- Validation Strategies and Concepts -- Hardware-Software Codesign -- Validation Matrix and Feature-Based Validation -- References -- 8 Sensor calibration and manufacturing -- Motivation for Calibrating Sensors -- Supply-Chain Stakeholders -- Sensor Vendors -- System Designers -- System Manufacturer -- The Calibration Process -- Creating a System Model -- Analyzing Error Sources -- Designing the Calibration Process -- Dynamic Calibration -- Managing the Calibration Process and Equipment -- Single and Multiaxis Linear Calibration -- Sensor Limits and Nonlinearity -- Calibrating Sensors With Multiple Orthogonal Inputs -- Calibrating Color Sensors -- Reference -- 9 Sensor security and location privacy -- Introduction to Mobile Computing Security and Privacy…”

Tabla de Contenidos: “…Using the Curve Through Reference Points Feature -- Putting Together a Composite Curve -- Using Split Lines -- Using the Equation-Driven Curve -- Selecting a Specialty Feature -- Using Scale -- Using the Dome Feature -- Using the Wrap Feature -- Using the Flex Feature -- Applying the Deform Feature -- Using the Indent Feature -- Using Intersect -- Tutorial: Creating a Wire-Formed Part -- The Bottom Line -- Chapter 9 Patterning and Mirroring -- Patterning in a Sketch -- Debunking More Sketch Myths -- Patterning a Sketch -- Mirroring in a Sketch -- Using Mirror Entities -- Using Dynamic Mirror -- Using Symmetry Sketch Relation -- Using Mirroring in 3D Sketches -- Working with 3D Patterns -- Exploring the Geometry Pattern Option -- Patterning Bodies -- Patterning Faces -- Patterning Fillets -- Understanding Pattern Types -- Using the Linear Pattern -- Using the Circular Pattern -- Using a Curve-Driven Pattern -- Using a Sketch-Driven Pattern -- Using a Table-Driven Pattern -- Using the Fill Pattern -- Using a Variable Pattern -- Cosmetic Patterns -- Mirroring 3D Solids -- Mirroring Bodies -- Mirroring Features -- Mirroring Entire Parts -- Tutorial: Creating a Circular Pattern -- Tutorial: Mirroring Features -- Tutorial: Applying a Cosmetic Pattern -- The Bottom Line -- Chapter 10 Using Equations -- Understanding Equations -- Creating Equations -- Using Driven Dimensions -- Using Equation Tricks -- Using Global Variables -- Using the Modify Box -- Using Expressions -- Controlling Suppression States of Features -- Linking to External Equations -- Tutorial: Using Equations -- The Bottom Line -- Chapter 11 Working with Part Configurations -- Controlling Items with Configurations -- Finding Configurations -- Deleting Configs -- Sorting Configs -- Activating Configurations -- Creating Configurations -- Using the Modify Configurations Dialog Box…”

Tabla de Contenidos: “…-- Chapter 11 Innovating with Integrated Circuits -- Why ICs? -- Linear, Digital, or Combination Plate? -- Making Decisions with Logic -- Beginning with bits -- Processing data with gates -- Simplifying gates with truth tables -- Creating logical components -- Using ICs -- Identifying ICs with part numbers -- Packaging is everything -- Probing IC pinouts -- Relying on IC datasheets -- Using Your Logic -- Seeing the light at the end of the NAND gate -- Turning three NAND gates into an OR gate -- Hanging Out with Some Popular ICs -- Operational amplifiers -- IC time machine: the 555 timer -- Counting on the 4017 decade counter -- Microcontrollers -- Other popular ICs -- Chapter 12 Acquiring Additional Parts -- Making Connections -- Choosing wires wisely -- Plugging in to connectors -- Powering Up -- Turning on the juice with batteries -- Getting power from the sun -- Using wall power to supply higher DC current or voltage (not recommended) -- Using Your Sensors -- Seeing the light -- Capturing sound with microphones -- Feeling the heat -- More energizing input transducers -- Experiencing the Outcome of Electronics -- Speaking of speakers -- Sounding off with buzzers -- Creating good vibrations with DC motors -- Part III Getting Serious about Electronics -- Chapter 13 Preparing Your Lab and Ensuring Your Safety -- Picking a Place to Practice Electronics -- The top ingredients for a great lab -- Workbench basics -- Acquiring Tools and Supplies -- Amassing a multimeter -- Stockpiling soldering equipment -- Hoarding hand tools -- Collecting cloths and cleansers -- Loading up on lubricants -- Stocking up on sticky stuff -- Other tools and supplies -- Stocking Up on Parts and Components -- Solderless breadboards -- Circuit‐building starter kit…”

Tabla de Contenidos: “…Inventory Costing -- Working with Inventoriable Costs -- Using the matching principle to calculate profit on sale -- Erring on the conservative side -- Costing Methods for Inventory -- Using the first-in, first-out (FIFO) method -- Accounting with the last-in, first-out (LIFO) method -- Weighing the merits of weighted-average cost -- Considering specific identification method -- Analyzing profit using FIFO and LIFO -- Using Variable and Absorption Costing to Allocate Fixed Manufacturing Costs -- Defining period costs and product costs -- Applying variable and absorption costing -- Relating Capacity Issues to Inventory -- Reviewing theoretical and practical capacity -- Understanding capacity issues for e-commerce firms -- Using normal and master-budget capacity -- Choosing a capacity level -- Part 3 Making Decisions -- Chapter 10 Cost Drivers and Cost Estimation Methods -- Working with Cost Behavior -- Understanding linear and nonlinear cost functions -- Discovering how cost drivers determine total costs -- Considering Cost Estimation Methods -- Walking through the industrial engineering method -- Agreeing on the conference method…”

Tabla de Contenidos: “…-- Introducing Project Management Life Cycles -- Traditional Project Management Approaches -- Low Complexity -- Few Scope Change Requests -- Well-Understood Technology Infrastructure -- Low Risk -- Experienced and Skilled Project Teams -- Plan-Driven TPM Projects -- Linear Project Management Life Cycle Model -- Incremental Project Management Life Cycle Model -- Agile Project Management Approaches -- A Critical Problem without a Known Solution -- A Previously Untapped Business Opportunity -- Change-Driven APM Projects -- APM Projects Are Critical to the Organization -- Meaningful Client Involvement Is Essential…”