Tabla de Contenidos: “…Long-term solvency measures -- Earnings and cash flow coverage ratios -- Interest coverage ratio -- Cash coverage ratio -- Operational efficiency or asset utilization ratios -- Inventory turnover ratio -- Receivables turnover ratio -- Market value measures -- Du Pont system -- Business risk -- Analysis of growth potential -- Analysis of bank performance -- Profitability measures -- Efficiency measures -- Expense measures -- Leverage ratios -- Asset quality -- Management quality -- Limitations of ratio analysis -- Links for websites for financial analysis -- Fundamentals of valuation -- Time value of money -- Future value and compounding -- Present value and discounting -- Discounted cash flow valuation -- Annuities -- Perpetuities -- Growing annuity -- Continuous compounding -- Different types of interest rates -- Nominal or stated interest rate -- Annual percentage rate -- Periodic rate -- Effective annual rate -- Different types of loans -- Pure discount loans -- Interest only loans -- Amortized loans -- Bond valuation and interest rates -- Basics of bonds -- Features of bond -- Indenture -- Bond terminology -- Par value -- Coupon and coupon rate -- Maturity date -- Yield to maturity (YTM) -- Current yield -- Yield to call -- Premium and discount bond -- Value of bond -- Interest rates -- Term structure of interest rates -- Bond ratings -- Bond pricing theorems -- Duration theorems -- Basics of stock valuation -- Summary highlights of stock valuation -- General method -- Constant growth method -- Nonconstant growth -- Two stage growth -- References -- 2 Risk and return -- 2.1 Introduction -- 2.2 Accounting and risk measures -- 2.3 Measures of returns -- 2.3.1 Total return -- 2.3.2 Historical rates of return -- 2.3.3 Average returns -- 2.3.4 Expected return -- 2.3.5 Portfolio returns -- 2.3.6 Determinants of rate of return -- 2.4 Risk premium…”

Tabla de Contenidos: “…3.5.3 Proposed Distributed Ledger-Based IoT Cloud IAM -- 3.6 Conclusion -- References -- 4 Automated TSR Using DNN Approach for Intelligent Vehicles -- 4.1 Introduction -- 4.2 Literature Survey -- 4.3 Neural Network (NN) -- 4.4 Methodology -- 4.4.1 System Architecture -- 4.4.2 Database -- 4.5 Experiments and Results -- 4.5.1 FFNN -- 4.5.2 RNN -- 4.5.3 CNN -- 4.5.4 CNN -- 4.6 Discussion -- 4.7 Conclusion -- References -- 5 Honeypot: A Trap for Attackers -- 5.1 Introduction -- 5.1.1 Research Honeypots -- 5.1.2 Production Honeypots -- 5.2 Method -- 5.2.1 Low-Interaction Honeypots -- 5.2.2 Medium-Interaction Honeypots -- 5.2.3 High-Interaction Honeypots -- 5.3 Cryptanalysis -- 5.3.1 System Architecture -- 5.3.2 Possible Attacks on Honeypot -- 5.3.3 Advantages of Honeypots -- 5.3.4 Disadvantages of Honeypots -- 5.4 Conclusions -- References -- 6 Examining Security Aspects in Industrial-Based Internet of Things -- 6.1 Introduction -- 6.2 Process Frame of IoT Before Security -- 6.2.1 Cyber Attack -- 6.2.2 Security Assessment in IoT -- 6.2.2.1 Security in Perception and Network Frame -- 6.3 Attacks and Security Assessments in IIoT -- 6.3.1 IoT Security Techniques Analysis Based on its Merits -- 6.4 Conclusion -- References -- 7 A Cooperative Navigation for Multi-Robots in Unknown Environments Using Hybrid Jaya-DE Algorithm -- 7.1 Introduction -- 7.2 Related Works -- 7.3 Problem Formulation -- 7.4 Multi-Robot Navigation Employing Hybrid Jaya-DE Algorithm -- 7.4.1 Basic Jaya Algorithm -- 7.5 Hybrid Jaya-DE -- 7.5.1 Mutation -- 7.5.2 Crossover -- 7.5.3 Selection -- 7.6 Simulation Analysis and Performance Evaluation of Jaya-DE Algorithm -- 7.7 Total Navigation Path Deviation (TNPD) -- 7.8 Average Unexplored Goal Distance (AUGD) -- 7.9 Conclusion -- References -- 8 Categorization Model for Parkinson's Disease Occurrence and Severity Prediction -- 8.1 Introduction…”

Tabla de Contenidos: “…6.1.1 Wave-Energy Relationships -- 6.1.2 Diffuse Field Parameter of One-Dimensional Systems -- 6.1.3 Diffuse Field Parameter of Two-Dimensional Systems -- 6.1.4 Diffuse Field Parameter of Three-Dimensional Systems -- 6.1.5 Topology Conclusions -- 6.1.6 Auto Correlation and Boundary Effects -- 6.1.7 Sources in the Diffuse Acoustic Field - the Direct Field -- 6.1.8 Some Comments on the Diffuse Field Approach -- 6.2 Ensemble Averaging of Deterministic Systems -- 6.3 One-Dimensional Systems -- 6.3.1 Fluid Tubes -- 6.4 Two-Dimensional Systems -- 6.4.1 Plates -- 6.4.2 Monte Carlo Simulation -- 6.5 Three-Dimensional Systems - Cavities -- 6.5.1 Energy and Intensity -- 6.5.2 Power Input to the Reverberant Field -- 6.5.3 Dissipation -- 6.5.4 Power Balance -- 6.5.5 Monte Carlo Simulation -- 6.6 Surface Load of Diffuse Acoustic Fields -- 6.7 Mode Wave Duality -- 6.7.1 Diffuse Field Energy -- 6.7.2 Free Field Power Input -- 6.8 SEA System Description -- 6.8.1 Power Balance in Diffuse Fields -- 6.8.2 Reciprocity Relationships -- 6.8.3 Fluid Analogy -- 6.8.4 Power Input -- 6.8.5 Engineering Units -- 6.8.6 Multiple Wave Fields -- Bibliography -- 7 Coupled Systems -- 7.1 Deterministic Subsystems and their Degrees of Freedom -- 7.2 Coupling Deterministic Systems -- 7.2.1 Fluid Subsystems -- 7.2.2 Fluid Structure Coupling -- 7.2.3 Deterministic Systems Coupled to the Free Field -- 7.3 Coupling Random Systems -- 7.3.1 Power Input to System (m) from the nth Reverberant Field -- 7.3.2 Power Leaving the (m)th Subsystem -- 7.3.3 Some Remarks on SEA Modelling -- 7.4 Hybrid FEM/SEA Method -- 7.4.1 Combining SEA and FEM Subsystems -- 7.4.2 Work Flow of Hybrid Simulation -- 7.5 Hybrid Modelling in Modal Coordinates -- Bibliography -- 8 Coupling Loss Factors -- 8.1 Transmission Coefficients and Coupling Loss Factors -- 8.1.1 - Relationship from Diffuse Field Assumptions…”

Tabla de Contenidos: “…7.5.1 Parameter Estimation for the HPP -- 7.5.2 Data Analysis for the NHPP -- 7.5.2.1 Maximum Likelihood Procedures -- 7.5.2.2 Laplace Test -- 7.6 Availability of Repairable Systems -- 7.6.1 Instantaneous (Point) Availability of Revealed-Fault Items -- 7.6.2 Instantaneous (Point) Availability of Periodically-Tested Items -- 7.6.3 Limiting Point Availability -- 7.6.4 Average Availability -- 7.6.5 Other Average Measures of Availability -- 7.6.5.1 Inherent Availability -- 7.6.5.2 Achieved Availability -- 7.6.5.3 Operational Availability -- 7.7 Markov Processes for System Availability -- 7.8 Availability of Complex Systems -- 7.9 Exercises -- References -- Chapter 8 Selected Advanced Topics in Reliability and Risk Analysis -- 8.1 Uncertainty Analysis -- 8.1.1 Steps in Uncertainty Analysis for Risk and Reliability Models -- 8.1.2 Uncertainty Propagation Methods -- 8.1.2.1 Method of Moments for Propagation of Uncertainties -- 8.1.2.2 Monte Carlo Methods for Propagation of Uncertainties -- 8.2 Analysis of Dependent Failures -- 8.2.1 Single-Parameter Models -- 8.2.2 Multiple-Parameter Models -- 8.2.3 Data Analysis for CCFs -- 8.3 Importance Measures -- 8.3.1 Birnbaum Importance -- 8.3.2 Criticality Importance -- 8.3.3 Fussell-Vesely Importance -- 8.3.4 Risk Reduction Worth Importance -- 8.3.5 Risk Achievement Worth Importance -- 8.4 Human Reliability Analysis -- 8.4.1 The HRA Process -- 8.4.2 Identifying Human Failure Events -- 8.4.2.1 THERP -- 8.4.2.2 SPAR-H -- 8.4.2.3 IDAC and Phoenix -- 8.4.2.4 IDHEAS -- 8.4.3 Representing and Quantifying HFEs -- 8.4.3.1 THERP -- 8.4.3.2 SPAR-H -- 8.4.3.3 IDAC and Phoenix -- 8.4.3.4 IDHEAS -- 8.5 Exercises -- References -- Chapter 9 Risk Analysis -- 9.1 QRA Defined -- 9.2 QRA Process -- 9.2.1 Initiating Event -- 9.2.2 Hazard Exposure Scenarios -- 9.2.3 Identification of Hazards -- 9.2.4 Identification of Barriers…”

Tabla de Contenidos: “…3.3 Types of Algorithms -- 3.3.1 Brute Force Algorithms -- 3.3.2 Divide and Conquer Algorithms -- 3.3.3 Dynamic Programming Algorithms -- 3.3.4 Greedy Algorithms -- 3.3.5 Branch and Bound Algorithms -- 3.3.6 Recursive Algorithms -- 3.3.7 Back Tracking Algorithms -- 3.3.8 Randomized Algorithms -- 3.3.9 Hill Climbing Algorithms -- 3.4 Performance Analysis -- 3.4.1 Properties of the Best Algorithms -- 3.5 Space Complexity -- 3.5.1 Instruction Space -- 3.5.2 Text Section of a Program -- 3.5.3 Data Space -- 3.5.4 Stack Space -- 3.5.5 Calculating the Instruction Space -- 3.5.6 Calculating the Data Space -- 3.5.7 Size of Data Section -- 3.5.8 Size of Rodata Section -- 3.5.9 Size of bss Section -- 3.6 Apriori Analysis -- 3.7 Asymptotic Notation -- 3.7.1 Big oh Notation (O) -- 3.7.2 Omega Notation (Ω) -- 3.7.3 Theta Notation (θ) -- 3.7.4 Little oh Notation(o) -- 3.8 Time Complexity -- 3.8.1 Time Complexity Analysis of Bubble Sort -- 3.8.2 Time Complexity Analysis of Selection Sort -- 3.9 Worst Case, Average Case and Best Case Complexity -- 3.9.1 Worst Case -- 3.9.2 Average Case -- 3.9.3 Best Case -- Summary -- Exercises -- Chapter 4 Arrays -- 4.1 Introduction -- 4.1.1 Array -- 4.2 Array Types -- 4.2.1 Single-dimensional Array -- 4.2.2 Multi-dimensional Array -- 4.2.3 N-dimensional Array -- 4.3 Array Representation -- 4.4 Initializing Arrays -- 4.5 Accessing Values of an Array -- 4.6 Array Operations -- 4.6.1 Traversing -- 4.6.2 Insertion -- 4.6.3 Deletion -- 4.6.4 Sorting -- 4.6.5 Searching -- 4.7 Arrays as Parameters -- 4.8 Character Sequences -- 4.9 Applications -- Summary -- Exercises -- Chapter 5 Linked List -- 5.1 Introduction -- 5.2 Representation of Linked List in Memory -- 5.2.1 Static Representation -- 5.2.2 Dynamic Representation -- 5.3 Singly Linked List -- 5.3.1 Operations -- 5.4 Circular Linked List -- 5.4.1 Merging of Two Circular Lists…”

Tabla de Contenidos: “…Finding Scratches with the Find Edges Filter -- Minimizing Scratches with Noise Reduction and Layer Blends -- Minimizing Scratches with Masks and Curves -- Enhancing Color to Attack Scratches -- Filling In the Cracks -- Removing Fine Cracks with a Mask and Median Filtering -- Removing Fine Cracks in Stages with Repeated Median Filtering -- Whittling Away at Wide Cracks -- Repairing Large Cracks with GIMP -- Eliminating Folds, Cracks, and Creases Using Averaged Scans -- Paving Over Tears and Holes -- Using the Dust &amp -- Scratches Filter in Combination with the Spot Healing Brush -- AKVIS Retoucher -- Clearing the Debris -- Eliminating Tarnish -- Picking the Right Color for B&amp -- W -- Dealing with Textured Prints -- Repairing Mildew -- Chapter 9: Tips, Tricks, and Enhancements -- How-Tos in This Chapter -- Introduction -- Save Time by Using Your Keyboard and Your Mouse -- Capturing a Long Density Range in a Scan by Stacking Images -- Descreening a Halftone -- Getting the Most Detail out of Your Photograph -- What Do You Do with a Tintype? …”

Tabla de Contenidos: “…Mathematical model -- 17.3. Asymptotic average characteristics -- 17.4. Deviation of the number of applications in the system…”

Tabla de Contenidos: “…-- Posting and Algorithmic Hacks -- Automating Your Content -- Chapter 18 Key Points -- Chapter 19 Handling Online Criticism and Hate -- Step 1: Anticipating the Hate -- Step 2: Filtering the Hate -- Step 3: Learning to Love Your Haters -- Chapter 19 Key Points -- Chapter 20 TikTok Goes the Clock -- Fierce Loyalty and a Forgiving Algorithm -- Gen Z's "Come as You Are" Comfort -- The Odds Are in Your Favor -- Chapter 20 Key Points -- Chapter 21 A Crash Course on Virality -- Conducting Viral Research -- Creating Viral-Worthy Content -- Maintaining Viral Momentum -- Monetizing the Virality -- Chapter 21 Key Points -- Part IV Financial Freedom -- Chapter 22 Key Concepts for Investing Your Money -- Investing Is Personal -- If You Can Make It, You Can Invest It -- The World of Investing Is Gate-Kept with Intimidation Tactics -- Chapter 22 Key Points -- Chapter 23 Seeing Yourself as a Financially Free Person -- Step 1: Acknowledging Your Current Wealth Roadblocks -- Step 2: Using Manifestation and Affirmations -- Step 3: Having Gratitude -- Chapter 23 Key Points -- Chapter 24 The Benefits of Systems That Work in Your Place -- Believing You Can Make the Switch to Passive Income -- The Point of Passive No Return -- The Money-Retention Balancing Act -- Chapter 24 Key Points -- Chapter 25 The "Seven Streams of Income" Rule -- How Do We Know the Average Millionaire Has Seven Streams of Income? -- What Are the Seven Streams of Income? …”

Tabla de Contenidos: “…Correlating individual stocks with the broader market -- Exploring risk and return -- Examining the market with the non-parametric runs test -- Testing for random walks -- Determining market efficiency with autoregressive models -- Creating tables for a stock prices database -- Populating the stock prices database -- Optimizing an equal weights two-asset portfolio -- Chapter 8: Text Mining and Social Network Analysis -- Introduction -- Creating a categorized corpus -- Tokenizing news articles in sentences and words -- Stemming, lemmatizing, filtering, and TF-IDF scores -- Recognizing named entities -- Extracting topics with non-negative matrix factorization -- Implementing a basic terms database -- Computing social network density -- Calculating social network closeness centrality -- Determining the betweenness centrality -- Estimating the average clustering coefficient -- Calculating the assortativity coefficient of a graph -- Getting the clique number of a graph -- Creating a document graph with cosine similarity -- Chapter 9: Ensemble Learning and Dimensionality Reduction -- Introduction -- Recursively eliminating features -- Applying principal component analysis for dimension reduction -- Applying linear discriminant analysis for dimension reduction -- Stacking and majority voting for multiple models -- Learning with random forests -- Fitting noisy data with the RANSAC algorithm -- Bagging to improve results -- Boosting for better learning -- Nesting cross-validation -- Reusing models with joblib -- Hierarchically clustering data -- Taking a Theano tour -- Chapter 10: Evaluating Classifiers, Regressors, and Clusters -- Introduction -- Getting classification straight with the confusion matrix -- Computing precision, recall, and F1-score -- Examining a receiver operating characteristic and the area under a curve…”

Tabla de Contenidos: “…-- Konventionen und Downloads -- Über den Autor -- Danksagungen -- Kapitel 1: Einführung in Algorithmen -- 1.1 Einführung -- 1.1.1 Performance -- 1.1.2 Problemlösungen -- 1.2 Binäre Suche -- 1.2.1 Eine bessere Suchmethode -- Übungen -- 1.2.2 Laufzeit -- 1.3 Landau-Notation -- 1.3.1 Die Laufzeiten von Algorithmen nehmen unterschiedlich schnell zu -- 1.3.2 Visualisierung verschiedener Laufzeiten -- 1.3.3 Die Landau-Notation beschreibt die Laufzeit im Worst Case -- 1.3.4 Typische Laufzeiten gebräuchlicher Algorithmen -- Übungen -- 1.3.5 Das Problem des Handlungsreisenden -- 1.4 Zusammenfassung -- Kapitel 2: Selectionsort -- 2.1 Die Funktionsweise des Arbeitsspeichers -- 2.2 Arrays und verkettete Listen -- 2.2.1 Verkettete Listen -- 2.2.2 Arrays -- 2.2.3 Terminologie -- Übung -- 2.2.4 Einfügen in der Mitte einer Liste -- 2.2.5 Löschen -- Übungen -- 2.3 Selectionsort -- Beispielcode -- 2.4 Zusammenfassung -- Kapitel 3: Rekursion -- 3.1 Rekursion -- 3.2 Basisfall und Rekursionsfall -- 3.3 Der Stack -- 3.3.1 Der Aufruf-Stack -- Übung -- 3.3.2 Der Aufruf-Stack mit Rekursion -- Übung -- 3.4 Zusammenfassung -- Kapitel 4: Quicksort -- 4.1 Teile und herrsche -- Übungen -- 4.2 Quicksort -- 4.3 Landau-Notation im Detail -- 4.3.1 Mergesort und Quicksort im Vergleich -- 4.3.2 Average Case und Worst Case im Vergleich -- Übungen -- 4.4 Zusammenfassung -- Kapitel 5: Hashtabellen -- 5.1 Hashfunktionen -- Übungen -- 5.2 Anwendungsfälle -- 5.2.1 Hashtabellen zum Nachschlagen verwenden -- 5.2.2 Doppelte Einträge verhindern -- 5.2.3 Hashtabellen als Cache verwenden -- 5.2.4 Zusammenfassung -- 5.2.5 Kollisionen -- 5.3 Performance -- 5.3.1 Der Auslastungsfaktor -- 5.3.2 Eine gute Hashfunktion -- Übungen -- 5.4 Zusammenfassung…”

Tabla de Contenidos: “…Chapter 9: Time Series Analysis and Forecasting with MATLAB -- Technical requirements -- Exploring the basic concepts of time series data -- Understanding predictive forecasting -- Introducing forecasting methodologies -- Time series analysis -- Extracting statistics from sequential data -- Converting a dataset into a time series format in MATLAB -- Understanding time series slicing -- Resampling time series data in MATLAB -- Moving average -- Exponential smoothing -- Implementing a model to predict the stock market -- Dealing with imbalanced datasets in MATLAB -- Understanding oversampling -- Exploring undersampling -- Summary -- Chapter 10: MATLAB Tools for Recommender Systems -- Technical requirements -- Introducing the basic concepts of recommender systems -- Understanding CF -- Content-based filtering explained -- Hybrid recommender systems -- Finding similar users in data -- Creating recommender systems for network intrusion detection using MATLAB -- Recommender system for NIDS -- NIDS using a recommender system in MATLAB -- Deploying machine learning models -- Understanding model compression -- Discovering model pruning techniques -- Introducing quantization for efficient inference on edge devices -- Getting started with knowledge distillation -- Learning low-rank approximation -- Summary -- Chapter 11: Anomaly Detection in MATLAB -- Technical requirements -- Introducing anomaly detection and fault diagnosis systems -- Anomaly detection overview -- Fault diagnosis systems explained -- Approaching fault diagnosis using ML -- Using ML to identify anomalous functioning -- Anomaly detection using logistic regression -- Improving accuracy using the Random Forest algorithm -- Building a fault diagnosis system using MATLAB -- Understanding advanced regularization techniques -- Understanding dropout -- Exploring L1 and L2 regularization…”

Tabla de Contenidos: “…Next Generation Wireless Network Mobility Models 35 -- 3.3 A Taxonomy of Existing Mobility Models 38 -- 3.4 Mobility Models and Real-World Traces: The CRAWDAD Resource 43 -- 3.5 Basic Definitions 45 -- Part II “GENERAL-PURPOSE” MOBILITY MODELS -- 4 Random Walk Models 51 -- 4.1 Discrete Random Walks 52 -- 4.2 Continuous Random Walks 55 -- 4.3 Other Random Walk Models 57 -- 4.4 Theoretical Properties of Random Walk Models 58 -- 5 The Random Waypoint Model 61 -- 5.1 The RWP Model 62 -- 5.2 The Node Spatial Distribution of the RWP Model 64 -- 5.3 The Average Nodal Speed of the RWP Model 69 -- 5.4 Variants of the RWP Model 73 -- 6 Group Mobility and Other Synthetic Mobility Models 75 -- 6.1 The RPGM Model 76 -- 6.2 Other Synthetic Mobility Models 83 -- 7 Random Trip Models 89 -- 7.1 The Class of Random Trip Models 89 -- 7.2 Stationarity of Random Trip Models 93 -- 7.3 Examples of Random Trip Models 94 -- Part III MOBILITY MODELS FOR WLAN AND MESH NETWORKS -- 8 WLAN and Mesh Networks 101 -- 8.1 WLAN and Mesh Networks: State of the Art 101 -- 8.2 WLAN and Mesh Networks: User Scenarios 107 -- 8.3 WLAN and Mesh Networks: Perspectives 109 -- 8.4 Further Reading 111 -- 9 Real-World WLAN Mobility 113 -- 9.1 Real-World WLAN Traces 113 -- 9.2 Features of WLAN Mobility 116 -- 10 WLAN Mobility Models 121 -- 10.1 The LH Mobility Model 122 -- 10.2 The KKK Mobility Model 129 -- 10.3 Final Considerations and Further Reading 137.…”

Tabla de Contenidos: “…-- Testing - pure versus impure -- Testing pure functions -- Testing purified functions -- Testing impure functions -- Questions -- Summary -- Chapter 5: Programming Declaratively - A Better Style -- Transformations -- Reducing an array to a value -- Summing an array -- Calculating an average -- Calculating several values at once -- Folding left and right -- Applying an operation - map -- Extracting data from objects -- Parsing numbers tacitly -- Working with ranges -- Emulating map() with reduce() -- More general looping -- Logical higher-order functions -- Filtering an array -- A reduce() example -- Emulating filter() with reduce() -- Searching an array -- A special search case -- Emulating find() and findIndex() with reduce() -- Higher level predicates - some, every -- Checking negatives - none -- Questions -- Summary -- Chapter 6: Producing Functions - Higher-Order Functions -- Wrapping functions -- Logging -- Logging in a functional way -- Taking exceptions into account -- Working in a more pure way -- Timing -- Memoizing -- Simple memoization -- More complex memoization -- Memoization testing -- Altering functions -- Doing things once, revisited -- Logically negating a function -- Inverting results -- Arity changing -- Other higher-order functions -- Turning operations into functions -- Implementing operations -- A handier implementation -- Turning functions into promises…”

Tabla de Contenidos: “…Environmental Impact Evaluation of a European High-Speed Railway Network along the "European Silk Road" -- Introduction -- 12.1 Life-Cycle Assessments-Calculating the Environmental Burden of HSR Networks -- 12.2 Methodology for the Environmental Impact Evaluation -- 12.2.1 Calculating Emissions from Construction -- 12.2.2 Calculating Avoided GHG Emissions -- 12.2.3 Factor 1: Difference in Emission Factors -- 12.2.4 Factor 2: Passenger Shifts from Road and Air Travel -- 12.2.5 Factor 3: Average Distance Travelled -- 12.3 HSR Networks as a Step towards European Climate Goals -- 12.3.1 Impact of Sustainable Construction Practices -- 12.3.2 Potential CO2 Emissions Avoided through an HSR Network -- 12.4 Limitations -- 12.5 Conclusion -- References -- 13. …”

Tabla de Contenidos: “…7.4.4 Real-Time Analysers -- 7.4.5 Remote Sensing -- 7.5 Data Reduction and Processing -- 7.5.1 Vibration Amplitude Versus Frequency Analysis -- 7.5.2 Spectrum Averaging -- 7.5.3 Amplitude Versus Frequency Versus Time Analysis -- 7.5.4 Amplitude/Phase Versus rpm Analysis -- 7.5.5 Time Waveform Analysis -- 7.5.6 Lissajous Pattern (Orbit) Analysis -- 7.5.7 Mode-Shape Analysis -- 7.6 Diagnosis and Corrective Actions -- 7.6.1 Steady-State Operating Regime -- 7.6.2 Detection of Perturbation Forces and Corrective Actions -- 7.7 Modal Analysis -- 7.8 Vibration Control -- Conclusion -- Exercises -- Chapter 8: Finite Element Method -- 8.1 Introduction -- 8.2 Important Conditions to be Satisfied -- 8.3 Modelling -- 8.4 Shape Functions -- 8.5 Bar Element -- 8.6 Boundary Conditions -- 8.7 Torsion Element -- 8.8 Beam Element -- Matlab-Tool for Computation -- Introduction -- (I) Display Windows -- (II) Arithmetic Operations -- (III) Built-in Functions -- (IV) Matrix -- (V) Polynomials: -- (VI) System of Linear Equations -- Conclusion -- Exercises -- Chapter 9: Fundamentals of Experimental Modal Analysis -- 9.1 Introduction -- 9.2 Frequency-Response Function -- 9.2.1 Frequency-Response Function-Basic Principles -- Exercises -- Chapter 10: Miscellaneous Topics in Vibration Analysis and Introduction to Noise Analysis -- 10.1 Flow-Induced Vibrations -- 10.2 Acoustics and Analysis of Noise -- 10.2.1 Basics of Sound -- 10.2.2 Amplitude, Frequency, Wavelength, and Velocity -- 10.2.3 Sound Field Definitions -- 10.3 Non-Stationary (Unsteady) Vibrations -- 10.4 Rotor Dynamics and Hydrodynamic Bearings -- Exercises -- Appendix - A -- Appendix - B -- Appendix - C -- Appendix - D -- Index…”

Tabla de Contenidos: “…Intro -- Contents -- About the Author -- Acknowledgements -- Publisher's Acknowledgements -- Introduction -- Part 1: Wealth Planning -- 1 Know where you are going and why -- Money values -- Life planning can give deeper meaning to goals and dreams -- The three difficult questions -- Financial planning policies -- Don't mention the 'r' word -- 2 Financial personality and behaviour -- Financial risk profile -- Emotions and money -- Money styles -- Emotional intelligence -- 3 The power of a plan -- Where you want to go -- Convert pension funds to a simple level annuity -- Short- and long-term cashflow projections -- Possibility and probability -- The role of liquidity -- Identifying and understanding financial planning risks -- Investment strategy -- The future is always uncertain -- 4 The role of guidance and advice -- The media is not your friend -- The financial services marketing machine -- Average investors and markets -- Experience and professional qualifications -- The expert network -- planning and advice fees and value -- Adviser checklist -- Part 2: Wealth Preservation -- 5 Investment principles -- Speculating is not investing -- Capitalism and markets do work -- Risk and return are linked -- Equity risk -- Expected profitability -- Bond maturity and default premium -- Focus on the mix of assets -- Measuring investment risk -- what's right for me? …”

Tabla de Contenidos: “…OFDMA Doppler Frequency Shift -- 15.11. Peak to Average Ratio -- 15.12. Crest Factor Reduction -- 15.13. …”

Tabla de Contenidos: “…-- Viewing the Traffic Sources Overview -- Analyzing Direct Traffic -- Analyzing Traffic from Referring Sites -- Analyzing Traffic from Search Engines -- Summary -- Lesson 8: Analyzing Top Content -- Why Content Analysis Matters -- Viewing the Content Overview Report -- Viewing the Overview Graph -- Viewing the Key Statistics -- Viewing Top Content -- Performing a Navigation Analysis -- Performing Landing Page Optimization -- Viewing Your Top Pages -- Viewing Top Landing Pages -- Viewing Top Exit Pages -- Summary -- Lesson 9: Tracking AdSense Performance -- Understanding Google AdSense -- Integrating AdSense with Google Analytics -- Viewing the AdSense Overview Report -- Viewing Top AdSense Content -- Viewing Top AdSense Referrers -- Viewing AdSense Revenue Trends -- Summary -- Lesson 10: Viewing the Site Overlay Report -- Understanding the Site Overlay -- Displaying the Site Overlay Report -- Summary -- Lesson 11: Tracking AdWords Traffic -- Understanding Google AdWords -- Linking Google AdWords to Google Analytics -- Tracking AdWords Campaigns -- Tracking Keyword Position -- Tracking TV Campaigns -- Summary -- Lesson 12: Tracking Ecommerce -- Configuring Google Analytics for Ecommerce Tracking -- Configuring Your Receipt Page for Google Analytics Tracking -- Establishing Purchase Items -- Tracking Sales from a Third-Party Shopping Cart -- Inserting the Tracking Code -- Changing Your Links -- Viewing Ecommerce Reports -- Ecommerce Overview -- Total Revenue -- Conversion Rate -- Average Order Value -- Transactions -- Visits to Purchase -- Days to Purchase -- Product Performance -- Summary -- Lesson 13: Measuring Site Search Usage -- Understanding Site Search -- Configuring Google Analytics to Track Site Search -- Viewing Site Search Reports -- Site Search Overview -- Usage…”