“…This method of analysis in electromagnetics is directly related to advances in cellular and mobile communications technology, as well as traditional EM areas such as radar, antennas, and wave propagation. Most of the material is available in the research journals which is difficult for a non-specialist to locate, read, understand, and effectivel…”

“…This volume, Advances in Artificial Transportation Systems and Simulation, covers hot topics including driver assistance systems; cooperative vehicle-highway systems; collision avoidance; pedestrian protection; image, radar and lidar signal processing; and…”

Tabla de Contenidos: “…Presión diferencial; 5.1.3 Instrumento basado en el desplazamiento; 5.1.4 Instrumentos basados en características eléctricas del líquido; 5.1.5 Medidor de nivel de ultrasonidos; 5.1.6 Medidor de nivel de radar; 5.1.7 Medidor de nivel de radiación; 5.1.8 Medidor de nivel láser; 5.1.9 Medidor másico de nivel; 5.2 Medidores de nivel de sólidos; 5.2.1 Detectores de nivel de punto fijo…”

Tabla de Contenidos: “…4.12.1 Matched Filter Detector 199 -- 4.12.2 Heterodyne Detector of FMCW Signals 203 -- 4.12.3 Practical Consideration of Detection Methods of FMCW Signals 207 -- 4.13 Range Doppler Ambiguity of Chirp Signals: Advanced Waveforms 207 -- 4.13.1 Three-Cell Structure 208 -- 4.13.2 Multiple WRF Structure 210 -- 4.13.3 Target Movement 211 -- 4.13.4 Doppler Shift Estimation 211 -- 4.14 Architectures of Chirp Sounders 213 -- 4.15 Monostatic Operation of FMCW Sounder/Radar 217 -- 4.15.1 Reduction of Effective Mean Received Power 218 -- 4.15.2 Spreading of the Spectrum and Interference 219 -- 4.15.3 Blind Ranges and Range Ambiguity 220 -- 4.15.4 Selection Criteria for Switching Sequences 221 -- 4.15.5 Considerations for Edge Weighting 224 -- 4.15.6 Length of the Window 224 -- 4.15.7 Window Functions 224 -- 4.15.8 Interpolation and Quantization 225 -- 4.16 Single and Multiple Antenna Sounder Architectures 225 -- 4.16.1 Single Input Single Output (SISO) Sounders 226 -- 4.16.2 MISO, SIMO and MIMO Measurements with SISO Sounders 227 -- 4.16.3 Semi-Sequential MIMO Sounders 228 -- 4.16.4 Parallel MIMO Sounders 228 -- 4.17 Ultra-wideband (UWB) Channel Sounders 232 -- 4.18 Sounder Design 233 -- 4.18.1 Sounder for Indoor Radio Channels in the UHF Band 239 -- 4.18.2 Sounder for UHF Frequency Division Duplex Links for Outdoor Radio Channels 239 -- 4.18.3 Sounder for Multiple Frequency Links for Outdoor Radio Channels 239 -- 4.19 Performance Tests of a Channel Sounder and Calibration 239 -- 4.19.1 Ambiguity Function 241 -- 4.19.2 Linearity Test 242 -- 4.19.3 Frequency Response 243 -- 4.19.4 Calibration of Automatic Gain Control 243 -- 4.19.5 Isolation between Multiple Channels 245 -- 4.19.6 Sensitivity and Dynamic Range 246 -- 4.19.7 Effect of Interference on the Dynamic Range 249 -- 4.19.8 Stability of Frequency Sources 251 -- 4.19.9 Temperature Variations 251 -- 4.20 Overall Data Acquisition and Calibration 251 -- References 251 -- 5 Data Analysis 255 -- 5.1 Data Validation 255 -- 5.2 Spectral Analysis via the Discrete Fourier Transform 256.…”

Tabla de Contenidos: “…Using a Scatter Plot to Show a Trend -- Next Steps -- 4 Creating Charts That Show Differences -- Comparing Entities -- Using Bar Charts to Illustrate Item Comparisons -- Adding a Second Series to Show a Time Comparison -- Subdividing a Bar to Emphasize One Component -- Showing Component Comparisons -- Using Pie Charts -- Switching to a 100% Stacked Column Chart -- Using a Doughnut Chart to Compare Two Pies -- Dealing with Data Representation Problems in a Pie Chart -- Creating a Pie of Pie Chart -- Using a Waterfall Chart to Tell the Story of Component Decomposition -- Creating a Waterfall Chart -- Next Steps -- 5 Creating Charts That Show Relationships -- Comparing Two Variables on a Chart -- Using XY Scatter Charts to Plot Pairs of Data Points -- Adding a Trendline to a Scatter Chart -- Adding Labels to a Scatter Chart -- Joining the Points in a Scatter Chart with Lines -- Adding a Second Series to an XY Chart -- Drawing with a Scatter Chart -- Using Charts to Show Relationships -- Testing Correlation Using a Scatter Chart -- Using Paired Bars to Show Relationships -- Comparing the Relationship Between Discount and Sales -- Kathy Villella: Comparing Three Variables with a Paired Bar Chart -- Using Paired Matching Charts -- MAD Magazine: Creating a Paired Comparison Chart -- Adding a Third Dimension with a Bubble Chart -- Using a Frequency Distribution to Categorize Thousands of Points -- Using Radar Charts to Create Performance Reviews -- Manoj Sharma: Radar Charts -- A Chart from Gene Zelazny -- Gene Zelazny: Zelazny Chart -- Using Surface Charts to Show Contrast -- Using the Depth Axis -- Controlling a Surface Chart Through 3-D Rotation -- Next Steps -- 6 Creating Stock Analysis Charts -- Overview of Stock Charts -- Line Charts -- OHLC Charts -- Candlestick Charts -- Obtaining Stock Data to Chart -- Rearranging Columns in the Downloaded Data…”

Tabla de Contenidos: “…. -- Adding images to a Dropdown control -- Displaying a radar to indicate the relative locations of objects -- Getting ready -- How to do it... -- How it works... -- The Start() method -- The Update() method -- The FindAndDisplayBlipsForTag(...) method -- The CalculateBlipPositionAndDrawBlip (...) method -- The NormalizedPosition(...) method -- The CalculateBlipPosition(...) method -- The DrawBlip() method -- There's more... -- Chapter 3: Inventory and Advanced UIs -- Technical requirements -- Creating a simple 2D mini-game - SpaceGirl -- Getting ready -- How to do it... -- How it works... -- Displaying single object pickups with carrying and not-carrying text -- Getting ready -- How to do it... -- How it works... -- The PlayerInventory script class -- The PlayerInventoryDisplay script class -- There's more... -- Collecting multiple items and display the total number carried -- Alternative - combining all the responsibilities into a single script -- Displaying single-object pickups with carrying and not-carrying icons -- Getting ready -- How to do it... -- How it works…”

Tabla de Contenidos: “…2.1.3.2 Basic methods for infrared-thermal detection and diagnosis -- 2.1.3.3 Infrared detection application in line equipment -- 2.1.3.4 Instructions and advice for infrared detection -- 2.1.3.5 The application standards of infrared diagnosis technology on power industry electricity charged equipment -- 2.2 UV Detection Technology -- 2.2.1 Characteristics and Principles of UV Detection Technology -- 2.2.1.1 Characteristics of UV detection technology -- 2.2.1.2 The basic principle of UV detection -- 2.2.1.3 Current situation of UV detection technology at home and abroad -- 2.2.2 Introduction of UV Measurement Device -- 2.2.2.1 UV imaging detection system and the key technology -- 2.2.2.2 Measurement of ultraviolet pulse -- 2.2.2.3 Measurement of UV power -- 2.2.3 UV Detection on Line Equipment and its Application -- 2.2.3.1 Examples of UV detection on line equipment -- 2.2.3.2 Influential factors in ultraviolet detection -- 2.2.3.3 The comparison between ultraviolet detection and infrared detection -- 2.2.3.4 UV diagnostic technology application standards for live equipment in the electric power industry -- 2.3 Wide Area Line Monitoring Based on Satellite Remote Sensing -- 2.3.1 Characteristics and Principles of Satellite Remote Sensing Technology -- 2.3.1.1 Remote sensing summary -- 2.3.1.2 Remote sensing technology classification -- 2.3.2 Monitoring Transmission Tower and Conductor Safety Status on the Basis of Satellite Remote Sensing Technology -- 2.3.2.1 The target characteristics of the transmission tower in the satellite remote sensing image -- 2.3.2.2 Transmission line tower and conductor safety status monitoring -- 2.3.2.3 High-resolution synthetic aperture radar satellite wide area monitoring of transmission lines -- 2.3.3 Transmission Line Corridor Monitoring Based on Satellite Remote Sensing Technology…”

“…Change Detection and Image Time Series Analysis 1 presents a wide range of unsupervised methods for temporal evolution analysis through the use of image time series associated with optical and/or synthetic aperture radar acquisition modalities. Chapter 1 introduces two unsupervised approaches to multiple-change detection in bi-temporal multivariate images, with Chapters 2 and 3 addressing change detection in image time series in the context of the statistical analysis of covariance matrices. …”

Tabla de Contenidos: “…About one-third of policies aim at connecting SMEs to knowledge and innovation networks, with a more complementary role for other types of linkages -- There is a clear policy focus on "traditional" innovation channels and more accessible forms of strategic partnerships -- Innovation-related network policies have a strong international orientation -- Governments could use digital platforms more to strengthen SME integration into knowledge and innovation networks -- While public action displays an overall high degree of targeting, specific firm populations may fall off the radar -- References -- Annex 5.A. Additional statistical material -- Notes -- 6 Upskilling, reskilling and finding talent: The role of SME ecosystems -- SME skills needs are evolving rapidly due to the digital and green transition -- Skills are key to SME competitiveness and resilience -- Skills needs are evolving rapidly, with the increasing prominence of "transversal skills" -- The accelerated digitalisation of economies and the pressure for achieving sustainability are the main drivers of changing skill needs -- Several short-term and structural factors limit SMEs' access to talent -- As labour markets tighten and demand for transversal skills increases, skill gaps and shortages have become widespread and are especially pronounced for SMEs -- Short-term shortages disproportionally impact SMEs and entrepreneurs -- Short-term shortage amplify structural challenges SMEs and entrepreneurs face in accessing skills -- Skills policies need to account for the specificities of SMEs -- Against this backdrop, commonly deployed skills policies are mostly generic in nature -- Skills ecosystems play an important role in delivering bundles of transversal skills to SMEs and entrepreneurs -- Recent policy developments are increasingly tailored to SMEs and delivered with spatial lenses…”

Tabla de Contenidos: “…Beats -- Logstash -- Kibana -- Use case -- Summary -- Chapter 9: Designing Data Visualization Solutions -- Data visualization -- Bar/column chart -- Line/area chart -- Pie chart -- Radar chart -- Scatter/bubble chart -- Other charts -- Practical data visualization in Hadoop -- Apache Druid -- Druid components -- Other required components -- Apache Druid installation -- Add service -- Select Druid and Superset -- Service placement on servers -- Choose Slaves and Clients -- Service configurations -- Service installation -- Installation summary -- Sample data ingestion into Druid -- MySQL database -- Sample database -- Download the sample dataset -- Copy the data to MySQL -- Verify integrity of the tables -- Single Normalized Table -- Apache Superset -- Accessing the Superset application -- Superset dashboards -- Understanding Wikipedia edits data -- Create Superset Slices using Wikipedia data -- Unique users count -- Word Cloud for top US regions -- Sunburst chart - top 10 cities -- Top 50 channels and namespaces via directed force layout -- Top 25 countries/channels distribution -- Creating wikipedia edits dashboard from Slices -- Apache Superset with RDBMS -- Supported databases -- Understanding employee database -- Employees table -- Departments table -- Department manager table -- Department Employees Table -- Titles table -- Salaries table -- Normalized employees table -- Superset Slices for employees database -- Register MySQL database/table -- Slices and Dashboard creation -- Department salary breakup -- Salary Diversity -- Salary Change Per Role Per Year -- Dashboard creation -- Summary -- Chapter 10: Developing Applications Using the Cloud -- What is the Cloud? …”

Tabla de Contenidos: “…. -- How it works... -- Displaying a radar to indicate the relative locations of objects -- Getting ready -- How to do it... -- How it works... -- The Start() method -- The Update() method -- The FindAndDisplayBlipsForTag(...) method -- The CalculateBlipPositionAndDrawBlip (...) method -- The NormalizedPosition(...) method -- The CalculateBlipPosition(...) method -- The DrawBlip() method -- There's more... -- Further reading -- Chapter 3: Inventory and Advanced UIs -- Creating a simple 2D mini-game - SpaceGirl -- Getting ready -- How to do it... -- How it works... -- Displaying single object pickups with carrying and not-carrying text -- Getting ready -- How to do it... -- How it works... -- The PlayerInventory script class -- The PlayerInventoryDisplay script class -- There's more... -- Collecting multiple items and displaying the total number carried -- Alternative - combining all the responsibilities into a single script -- Displaying single-object pickups with carrying and not-carrying icons -- Getting ready -- How to do it... -- How it works... -- Displaying multiple pickups of the same object with multiple status icons -- Getting ready -- How to do it... -- How it works... -- There's more…”

Tabla de Contenidos: “…Kapitel 29: Nützliche Quellen im Web: Ihr Radar -- Kapitel 30: Handfeste Literatur -- Kapitel 31: Was am Ende des Tages übrig blieb -- Stichwortverzeichnis…”

Tabla de Contenidos: “…Learning levels -- Covering all moments of need -- Learning methodologies -- Including all knowledge types -- Learning elements -- Organizing content -- Searching for content -- Measuring success -- Celebrating successes -- Summary -- Further reading -- Chapter 5: Managing Your Data Environment -- Introducing data management -- Understanding your data quality -- Intermezzo - Starting to improve data quality in a small-scaled healthcare environment -- Delivering a data management future -- Data strategy -- Taking care of your data strategy -- Creating a data vision -- Identifying your data -- Discovering where your data is stored -- Retrieving your data -- Combining and enriching data -- Setting the standard -- Processes -- Control -- IT -- Summary -- Part 2: Understanding How to Measure the Why, What, and How -- Chapter 6: Aligning with Organizational Goals -- Understanding the types of indicators -- Identifying KPIs -- Characteristics of KPIs -- Leading and lagging indicators -- Reviewing for unintended consequences -- Applying Goodhart's law to KPIs -- Defining what to track -- Activity system maps -- Logic models -- Summary -- References -- Chapter 7: Designing Dashboards and Reports -- The importance of visualizing data -- Deceiving with bad visualizations -- Using our eyes and the usage of colors -- Introducing the DAR(S) principle -- Defining your dashboard -- Choosing the right visualization -- Understanding some basic visualizations -- Bar chart (or column chart or bar graph) -- Line chart -- Pie chart -- Heatmap -- Radar chart -- Geospatial charts -- KPIs in various ways -- Tables -- Presenting some advanced visualizations -- Bullet charts -- Addressing contextual analysis -- Summary -- Chapter 8: Questioning the Data -- Being curious and critical by asking questions -- Starting with the problem - not the data…”

Tabla de Contenidos: “…165 -- 7.1 Introduction 165 -- 7.2 Background 168 -- 7.2.1 Early Spectrum Management 168 -- 7.2.2 History of TV White Spaces 169 -- 7.2.3 History of Radar White Spaces 171 -- 7.3 TV White Space Technology 171 -- 7.3.1 Standards 172 -- 7.3.2 Approaches to White Space 173 -- 7.4 White Space Spectrum Opportunities and Challenges 175 -- 7.5 TV White Space Applications 178 -- 7.5.1 Fixed Wireless Networking 180 -- 7.5.2 Public Safety Applications 181 -- 7.5.3 Mobile Broadband 182 -- 7.6 International Efforts 185 -- 7.7 Role of WS in 5G 186 -- 7.8 Conclusion 186 -- References 187 -- 8 Towards a Unified 5G Broadcast?]…”

Tabla de Contenidos: “…11.2 Challenges in recognition of hand gestures -- 11.3 Approaches' types -- 11.4 Literature review on vision-based gesture recognition -- 11.5 Data acquisition -- 11.6 Pre-processing of acquired data -- 11.7 Segmentation -- 11.7.1 Segmentation of skin color -- 11.7.2 Other methods for segmentation -- 11.7.3 Tracking -- 11.8 Feature extraction -- 11.8.1 Principal component analysis (PCA) -- 11.8.2 Linear discriminant analysis (LDA) -- 11.8.3 Shift-invariant feature transform (SIFT) -- 11.9 Classification -- 11.9.1 Artificial neural network (ANN) -- 11.9.2 Support vector machine (SVM) -- 11.9.3 Euclidean distance classifier -- 11.9.4 K-nearest neighbor classifier -- 11.10 Literature review on sensor-based gesture recognition -- 11.10.1 Data glove -- 11.10.2 Electromyography (EMG) -- 11.10.3 Radar and WiFi -- 11.11 Discussion -- 11.11.1 Critical review on the previous survey -- 11.11.2 Reviews on considered algorithms and methodologies -- 11.12 Conclusion and future work -- References -- Index…”

Tabla de Contenidos: “…Cover -- Contents -- Preface -- Acknowledgments -- Introduction -- 1 First Wind: Introduction to Small Wind Power -- A Brief History of Wind Energy -- A Brief History of Commercial-Scale Wind Energy -- Recent Growth of the Global Wind Market -- Wind Energy System Components -- Turbine -- Tower -- Transmission Wires -- Balance of System (BOS) -- Direct Drivers for Wind Energy -- Economic Benefits of Small Wind Power -- Free Fuel -- Return on Investment (ROI) -- Financial Hedge Against Rising Energy Prices -- Access to Financial Incentives for Developers and Consumers -- Becoming Competitive with Conventional Technologies -- Job Creation and Regional Economic Development -- Values and Small Wind -- Environmental Benefits -- Independence -- Image Enhancement -- Consumer Choice -- Self-Reliance -- Do-It-Yourself -- High Visibility -- The Joy and Satisfaction of It -- Practicality -- Diversity and Reliability of Electricity Supply -- Political Security -- Natural Synergism with Solar Technology -- Diversity of Applications, Including Remote and Off-Grid -- Resiliency -- Summary -- 2 Second Wind: Challenges and Impacts of Small Wind Energy -- Energy Storage and Transmission -- Environmental Impacts -- Noise -- Perception and Annoyance -- Flicker Effect -- Visual Influence -- Property Value -- Electromagnetic Transmissions -- Radar -- Ice Throwing -- Ecological Impacts of Small Wind Turbines -- Embodied Energy -- Site Preparation -- Potential Impacts on Birds -- Impacts on Bats -- Summary -- 3 Electricity, Energy, and Wind Science -- Basics of Electricity -- Electrical Charge (Voltage) -- Current (Amperes) -- Ampere-Hours (Amp-Hours) -- Resistance (Ohms) -- All Together Now: Ohm's Law -- Power (Watts) -- Energy (Watt-Hours) -- Wind Energy Principles -- Understanding Wind Speed Terminology -- The Basic Wind Energy Formula -- Air Density (D)…”

Tabla de Contenidos: “…-- 9.8 Logistic Regression -- Chapter 10 Numerical Analysis and Montecarlo Simulations -- 10.1 System Identification and Channel Estimation -- 10.1.1 Matlab Code and Results -- 10.2 Frequency Estimation -- 10.2.1 Variable (Coarse/Fine) Sampling -- 10.2.2 Local Parabolic Regression -- 10.2.3 Matlab Code and Results -- 10.3 Time of Delay Estimation -- 10.3.1 Granularity of Sampling in ToD Estimation -- 10.3.2 Matlab Code and Results -- 10.4 Doppler-Radar System by Frequency Estimation -- 10.4.1 EM Method -- 10.4.2 Matlab Code and Results -- Chapter 11 Bayesian Estimation -- 11.1 Additive Linear Model with Gaussian Noise -- 11.1.1 Gaussian A-priori: θN(,σθ2) -- 11.1.2 Non-Gaussian A-Priori -- 11.1.3 Binary Signals: MMSE vs. …”

“…Rapid advancement in wireless communications and related technologies has led to the use of newer technologies like 6G, Internet of Things (IoT), Radar, and others. Not only are the technologies expanding, but the impact of wireless communication is also changing, becoming an inevitable part of daily life. …”

Tabla de Contenidos: “…Viewing, Saving, and Sharing Websites in Safari -- Using Safari's Reader Feature -- Downloading Files from Safari -- Chapter 15 Taking Notes and Making Voice Recordings -- Using the Notes App -- Creating and formatting a new note -- Adding info to a note from another app -- Locking a note -- Sharing notes or collaborating with others -- Changing settings for the Notes app -- Using the Voice Memos App -- Making a voice recording -- Playing and editing a voice recording -- Finding, organizing, and sharing voice recordings -- Chapter 16 Getting Stuff Done with Freeform and Keynote -- Launching and Using the Freeform App in Apple Vision Pro -- Creating a new Freeform board -- Opening an existing Freeform board -- Duplicating a Freeform board -- Deleting a Freeform board -- Positioning items on a Freeform board -- Collaborating on a Freeform board -- Exporting a Freeform board -- Seeing Your Mac Screen while Using Apple Vision Pro -- Using Keynote on Apple Vision Pro -- Rehearsing your Keynote presentation -- Sending or collaborating on a Keynote speech -- Using Focus with Apple Vision Pro -- Part 5 The Part of Tens -- Chapter 17 Ten Awesome Things to Try in Apple Vision Pro -- Capturing Spatial Photos and Videos -- Viewing Immersive Content and 3D Videos -- Using Personas to FaceTime -- Playing Mixed-Reality Games -- Sharing Your Apple Vision Pro View to Another Display -- Practicing Mindfulness -- Reading Books -- Enabling Environments -- Playing Steam Games -- Collaborating in Style -- Chapter 18 The Ten Best Apps for Apple Vision Pro -- AmazeVR Concerts: Immersive 3D -- CARROT Weather: Alerts &amp -- Radar -- CellWalk -- djay - DJ App &amp -- AI Mixer -- JigSpace: 3D Presentations -- MLB -- Puzzling Places -- Sky Guide -- What If. . .? …”

Tabla de Contenidos: “…Programming by visualizing the big picture -- Summary -- Chapter 3: Predicting Votes with Linear Models -- Required packages -- Setting up the data -- Training and testing datasets -- Predicting votes with linear models -- Checking model assumptions -- Checking linearity with scatter plots -- Checking normality with histograms and quantile-quantile plots -- Checking homoscedasticity with residual plots -- Checking no collinearity with correlations -- Measuring accuracy with score functions -- Programatically finding the best model -- Generating model combinations -- Predicting votes from wards with unknown data -- Summary -- Chapter 4: Simulating Sales Data and Working with Databases -- Required packages -- Designing our data tables -- The basic variables -- Simplifying assumptions -- Potential pitfalls -- The too-much-empty-space problem -- The too-much-repeated-data problem -- Simulating the sales data -- Simulating numeric data according to distribution assumptions -- Simulating categorical values using factors -- Simulating dates within a range -- Simulating numbers under shared restrictions -- Simulating strings for complex identifiers -- Putting everything together -- Simulating the client data -- Simulating the client messages data -- Working with relational databases -- Summary -- Chapter 5: Communicating Sales with Visualizations -- Required packages -- Extending our data with profit metrics -- Building blocks for reusable high-quality graphs -- Starting with simple applications for bar graphs -- Adding a third dimension with colors -- Graphing top performers with bar graphs -- Graphing disaggregated data with boxplots -- Scatter plots with joint and marginal distributions -- Pricing and profitability by protein source and continent -- Client birth dates, gender, and ratings -- Developing our own graph type - radar graphs…”