Tabla de Contenidos: “…Connection documents -- 6.1 DB2 connection document -- 6.1.1 Connectivity section -- 6.1.2 Table selection section -- 6.1.3 Other section -- 6.2 Notes connection document -- 6.2.1 Connectivity section -- 6.2.2 Other section -- 6.3 File connection document -- 6.3.1 Connectivity section -- 6.3.2 Subdirectory Selection section -- 6.3.3 Other section -- 6.4 Text connection document -- 6.4.1 Connectivity section -- 6.4.2 Text specifications section -- 6.4.3 Other section -- 6.5 Metaconnectors -- 6.5.1 Collapse/Expand metaconnector -- 6.5.2 Meter metaConnector -- 6.5.3 Order metaConnector -- 6.5.4 Trace metaConnector -- 6.6 Test connection documents using the CONTEST utility -- Chapter 7. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgements -- Chapter 1 Self-Powered Sensory Transducers: A Way Toward Green Internet of Things -- 1.1 Introduction -- 1.2 Need of the Work -- 1.3 Energy Scavenging Schemes in WSAN -- 1.3.1 Photovoltaic or Solar Cell -- 1.3.2 Temperature Gradient -- 1.3.3 Pressure Variations -- 1.3.4 Plant Microbial Fuel -- 1.3.5 Wind/Liquid Flow -- 1.3.6 Vibrations -- 1.3.7 Friction -- 1.4 Self Powered Systems and Green IoT (G-IoT) -- 1.5 Application Area and Scope of Self-Powered System in G-IoT -- 1.5.1 Terrestrial Applications -- 1.5.1.1 Agriculture -- 1.5.1.2 Smart Home and Cities -- 1.5.1.3 Industry -- 1.5.1.4 Medicines -- 1.5.1.5 Environment Monitoring -- 1.5.1.6 Structural Monitoring -- 1.5.1.7 Indoor Applications -- 1.5.1.8 Arial Vehicles -- 1.5.1.9 Military Applications -- 1.5.1.10 Underwater Applications -- 1.5.1.11 Submarine and Event Localization -- 1.5.1.12 Water Contamination -- 1.5.1.13 Intelligent Water Distribution and Smart Meter -- 1.5.1.14 Underground Applications -- 1.5.1.15 Coal and Petroleum Mining Application -- 1.5.1.16 Underground Structural Monitoring -- 1.6 Challenges and Future Scope of the Self-Powered G-IoT -- 1.6.1 Challenges Pertain to Energy Efficient Design and Protocols -- 1.6.2 Size and Cost of the Harvester -- 1.6.3 Energy-Efficient Routing and Scheduling Protocols -- 1.6.4 Design of Application-Specific Passive Wake-Up Receivers -- 1.6.5 Redefined Protocol with Application-Specific Goals -- 1.6.6 Embedded Operating Systems -- 1.6.7 AI and Cloud-Assisted Lifetime Prediction Techniques -- 1.6.8 Design of Energy-Efficient/Harvested Service-Oriented Architecture -- 1.6.9 Smart Web Interfaces for Monitoring -- 1.6.10 Cross Layer Exploitations with Energy Harvesting -- 1.6.11 Security Aspects and Need of Standardization…”

Tabla de Contenidos: “…14.2.1.4 Predicting Diabetes -- 14.2.1.5 Predicting Alzheimer's -- 14.2.2 Drug Development and Discovery -- 14.2.3 Clinical Decision Support (CDS) -- 14.2.4 Medical Image Examination -- 14.2.5 Monitoring of Health and Wearable Technology -- 14.2.6 Telemedicine and Remote Patient Monitoring -- 14.2.7 Chatbots and Virtual Medical Assistants -- 14.3 Why Machine Learning is Crucial in Healthcare -- 14.4 Challenges and Opportunities -- 14.5 Conclusion -- References -- Chapter 15 Enhancing Resource Management in Precision Farming through AI-Based Irrigation Optimization -- 15.1 Introduction to Precision Farming -- 15.1.1 Definition of Precision Farming -- 15.1.2 Importance of Precision Farming in Agriculture -- 15.2 Role of Artificial Intelligence (AI) in Precision Farming -- 15.2.1 Influence of AI in Precision Farming -- 15.2.2 Challenges and Limitations of AI in Precision Farming -- 15.3 Data Collection and Sensing for Precision Farming -- 15.3.1 Remote Sensing Techniques -- 15.3.2 Satellite Imagery Analysis -- 15.3.3 Unmanned Aerial Vehicles (UAVs) for Data Collection -- 15.3.4 Internet of Things (IoT) Sensors -- 15.3.5 Data Preprocessing and Integration -- 15.4 Crop Monitoring and Management -- 15.4.1 Crop Yield Prediction -- 15.4.2 Disease Detection and Diagnosis -- 15.4.3 Nutrient Management and Fertilizer Optimization -- 15.5 Precision Planting and Seeding -- 15.5.1 Variable Rate Planting -- 15.5.2 GPS and Auto-Steering Systems -- 15.5.3 Seed Singulation and Metering -- 15.5.4 Plant Health Monitoring and Care -- 15.6 Harvesting and Yield Estimation -- 15.6.1 Yield Estimation Models -- 15.6.2 Real-Time Crop Monitoring During Harvest -- 15.7 Data Analytics and Machine Learning -- 15.7.1 Predictive Analytics for Crop Yield -- 15.7.2 Machine Learning Algorithms for Precision Farming -- 15.7.3 Big Data Analytics in Precision Farming…”

Tabla de Contenidos: “…III IoT in Industry -- ch. 9 Manufacturing -- An Introduction to Connected Manufacturing -- An IoT Strategy for Connected Manufacturing -- Business Improvements Driven Through IoT -- An Architecture for the Connected Factory -- Industrial Automation and Control Systems Reference Model -- The CPwE Reference Model -- CPwE Resilient Network Design -- Resilient Ethernet Protocol (REP) -- Business Value of Resiliency in Converged Networks -- CPwE Wireless -- CPwE Wireless Network Architecture -- Real-Time Location System (RTLS) -- Industrial Automation Control Protocols -- EtherNet/IP and CIP -- PROFINET -- The PROFINET Architecture -- Media Redundancy Protocol (MRP) -- Modbus/TCP -- Connected Factory Security -- A Holistic Approach to Industrial Security -- Network Address Translation in the Factory -- The Industrial DMZ -- Factory Security Identity Services -- Edge Computing in the Connected Factory -- Connected Machines and Edge Computing -- Summary -- References -- ch. 10 Oil and Gas -- An Introduction to the Oil and Gas Industry -- Defining Oil and Gas -- The Oil and Gas Value Chain -- Current Trends in the Oil and Gas Industry -- Industry Key Challenges as Digitization Drivers -- IoT and the Oil and Gas Industry -- Improving Operational Efficiency -- The Purdue Model for Control Hierarchy in Oil and Gas Networks -- Oil and Gas Use Cases for IoT -- The Connected Pipeline -- The Connected Refinery -- IoT Architectures for Oil and Gas -- Control Room Networks for Oil and Gas -- Wired Networks for Oil and Gas -- Wireless Networks for Oil and Gas -- Wireless Use Cases in the Oil and Gas Industry -- Mobile Process Control Network Operator -- Plant Turnaround -- The Risk Control Framework for Cybersecurity in IoT -- Securing the Oil and Gas PCN: Background -- Securing the Oil and Gas PCN: Use Cases and Requirements -- Real-Time Asset Inventory -- Remote Access Control -- Patch Management -- Antivirus (AV) Management -- Security Intelligence and Anomaly Detection -- Data Analytics for Predictive Asset Monitoring -- Summary -- References -- ch. 11 Utilities -- An Introduction to the Power Utility Industry -- The IT/OT Divide in Utilities -- The GridBlocks Reference Model -- GridBlocks: An 11-Tiered Reference Architecture -- The Primary Substation GridBlock and Substation Automation -- SCADA -- IEC 61850: The Modernization of Substation Communication Standards -- IEC 61850 Station Bus -- IEC 61850 Process Bus -- Migration to IEC 61850 -- Network Resiliency Protocols in the Substation -- Parallel Redundancy Protocol -- High-Availability Seamless Redundancy -- System Control GridBlock: The Substation WAN -- Defining Teleprotection -- Distance Protection -- Current Differential (87L) Protection -- Designing a WAN for Teleprotection -- The Field Area Network (FAN) GridBlock -- Advanced Metering Infrastructure -- Other Use Cases -- Demand Response -- Distribution Automation -- Securing the Smart Grid -- NERCCIP -- Smart Grid Security Considerations -- The Future of the Smart Grid -- Summary -- References -- ch. 12 Smart and Connected Cities -- An IoT Strategy for Smarter Cities -- Vertical IoT Needs for Smarter Cities -- Global vs. …”

“…This book incorporates selected topics on theory, revision, and practical application models for water supply systems analysis, including: guidelines for transient analysis, sustainable management of regional water supply systems, infrastructure asset management, optimal pump scheduling, demand uncertainty, errors in water meter measuring, and indicators for water mains rehabilitation…”

“…It focuses on the potentially impactful role of applied and functional bio-dental tissue engineering, drug/gene delivery (controlled and metered systems) and cell therapy, bioscaffolds, image-guided and image-assisted surgery, nanodentistry, and biomechanics towards developing better solutions for problems and conditions of the orodental and cranio-maxillofacial complex and beyond…”

“…This book focuses on cutting-edge and important research topics such as flavor physics to search for new physics via charged particles that appear in different extensions of the standard model, as well as the analysis of ultra-high energy muons using the pair-meter technique. Also included in this book are the idea of the Eloisatron to PeVatron, the important research field of electrostatic waves in magnetized electron/positron plasmas, and the application of charge bodies…”

“…There's more to being a DP than holdng a light meter! With this book as your guide, you are on your way to learning not only about the equipment and technology, but also about the concepts and thought processes that will enable you to shoot professionally, efficiently, and with artistic mastery. …”

“…Among the most important topics included are smart metering, renewable energy stora…”

“…Example lessons include: 4. The Light Meter and Metering Modes 6. The Exposure Triangle 10. …”

“…Providing a complete body and lens system, both the T6i and T6s are made available as kits with zoom lenses, and include many feature upgrades, perhaps most significantly, a new 24.2MP APS-C CMOS sensor (up from 18MP on the T5i / 700D) coupled with a new 7560 pixel RGB + IR metering sensor for more accurate metering. Also, for the first time for the Rebel line, both cameras offer built-in Wi-Fi connectivity and NFC. …”

Tabla de Contenidos: “…9.5.1 Findings: Vehicle Detection Across Multiple Images -- 9.5.2 Findings: Vehicle Detection Performance on an MP4 File -- 9.5.3 Findings: Vehicle Detection on Livestream Camera -- 9.5.4 Findings: Iteration 3 -- 9.5.5 Addressing the Research Questions -- 9.5.6 Assessment of Suitability -- 9.5.7 Future Improvements -- 9.6 Conclusion -- References -- Chapter 10 A Review on Applications of the Standard Series IEC 61850 in Smart Grid Applications -- 10.1 Introduction -- 10.2 Overview of IEC 61850 Standards -- 10.3 IEC 61850 Protocols and Substandards -- 10.3.1 IEC 61850 Standards and Classifications -- 10.3.2 Basics of IEC 61850 Architecture Model -- 10.3.3 IEC 61850 Class Model -- 10.3.4 IEC 61850 Logical Interfaces (Functional Hierarchy of IEC 61850) -- 10.4 IEC 61850 Features -- 10.4.1 MMS -- 10.4.2 GOOSE -- 10.4.3 Sampled Measured Value (SMV) or SV -- 10.4.4 R‐GOOSE and R‐SV -- 10.4.4.1 Application in Transmission Systems -- 10.4.4.2 Application in Distribution Systems -- 10.4.5 Web Services -- 10.5 Relevant Application -- 10.5.1 Substation Automation System (SAS) -- 10.5.2 Energy Management System (EMS) -- 10.5.3 Distribution Management System (DMS) -- 10.5.3.1 Feeder Balancing and Loss Minimization Distribution -- 10.5.3.2 Voltage/VAR Optimization (VVO) and Conservation Voltage Reduction -- 10.5.3.3 Fault Location, Isolation, and Service Restoration -- 10.5.4 Distribution Automation (DA) -- 10.5.4.1 Voltage/VAR Control -- 10.5.4.2 Fault Detection and Isolation -- 10.5.4.3 Service Restoration Use Case -- 10.5.5 Distributed Generation and Demand Response Management (Distributed Energy Resource [DER]) -- 10.5.5.1 Storage -- 10.5.5.2 Solar Panels -- 10.5.5.3 Wind Farm -- 10.5.5.4 Virtual Power Plant (VPP) -- 10.5.6 Advanced Metering Infrastructure (AMI) -- 10.5.7 Electric Vehicle (EV)…”

Tabla de Contenidos: “…Connection documents -- 6.1 DB2 connection documents -- 6.1.1 Connectivity section -- 6.1.2 Table selection section -- 6.1.3 Other section -- 6.2 Test your connection -- 6.3 Notes connection document -- 6.3.1 Connectivity section -- 6.3.2 General Options section -- 6.3.3 Document Selection section -- 6.3.4 Field Selection section -- 6.3.5 Data Transformation section -- 6.3.6 Data Creation section -- 6.3.7 Other section -- 6.4 File connection document -- 6.4.1 Connectivity section -- 6.4.2 Subdirectory Selection section -- 6.4.3 Other section -- 6.5 Text connection document -- 6.5.1 Connectivity section -- 6.5.2 Text specifications section -- 6.5.3 Other section -- 6.6 Metaconnectors -- 6.6.1 Collapse/Expand Metaconnector -- 6.6.2 Meter MetaConnector -- 6.6.3 Order MetaConnector -- 6.6.4 Trace MetaConnector -- Chapter 7. …”

Tabla de Contenidos: “…3.2.1 Concept and Definition of Smart Cities -- 3.2.1.1 Integration of Smart Cities with New Technologies -- 3.2.1.2 Development of Smart Cities by Integrated Technologies -- 3.2.2 Concept of Blockchain Technology -- 3.2.2.1 Features of Blockchain Technology -- 3.2.2.2 Framework and Working of Blockchain Technology -- 3.2.3 Concept and Definition of Artificial Intelligence -- 3.2.3.1 Classification of Artificial Intelligence-Machine Learning -- 3.3 Smart Cities Integrated with Blockchain Technology -- 3.3.1 Applications of Blockchain Technology in Smart City Development -- 3.3.1.1 Secured Data Transmission -- 3.3.1.2 Digital Transaction-Smart Contracts -- 3.3.1.3 Smart Energy Management -- 3.3.1.4 Modeling of Smart Assets -- 3.3.1.5 Smart Health System -- 3.3.1.6 Smart Citizen -- 3.3.1.7 Improved Safety -- 3.4 Smart Cities Integrated with Artificial Intelligence -- 3.4.1 Importance of AI for Developing Smart Cities -- 3.4.2 Applications of Artificial Intelligence in Smart City Development -- 3.4.2.1 Smart Transportation System -- 3.4.2.2 Smart Surveillance and Monitoring System -- 3.4.2.3 Smart Energy Management System -- 3.4.2.4 Smart Disposal and Waste Management System -- 3.5 Conclusion and Future Work -- References -- 4 Smart City a Change to a New Future World -- 4.1 Introduction -- 4.2 Role in Education -- 4.3 Impact of AI on Smart Cities -- 4.3.1 Botler AI -- 4.3.2 Spot -- 4.3.3 Nimb -- 4.3.4 Sawdhaan Application -- 4.3.5 Basic Use Cases of Traffic AI -- 4.4 AI and IoT Support in Agriculture -- 4.5 Smart Meter Reading -- 4.6 Conclusion -- References -- 5 Registration of Vehicles With Validation and Obvious Manner Through Blockchain: Smart City Approach in Industry 5.0 -- 5.1 Introduction -- 5.1.1 Concept of Smart Cities -- 5.1.2 Problem of Car Registration and Motivation -- 5.1.2.1 Research Objectives -- 5.1.2.2 Scope of the Research Work…”

Tabla de Contenidos: “…8.3.8 Concentration of particles -- 8.3.9 Membrane material -- 8.4 VARIABLES AND APPLICATIONS OF THE MFI-UF -- 8.4.1 Plant profiling and water quality monitoring -- 8.4.2 Flux rate -- 8.4.3 Predicting rate of fouling of seawater RO systems -- 8.4.4 Comparing fouling indices -- 8.5 REFERENCES -- Part 3: Inorganic fouling and scaling -- Chapter 9: Inorganic Fouling: Characterization Tools and Mitigation -- 9.1 INTRODUCTION -- 9.2 MAIN COMPONENTS OF INORGANIC FOULING -- 9.2.1 Colloidal matter/particulate -- 9.2.2 Metals -- 9.2.3 Scaling -- 9.2.4 OTHER COMPONENTS -- 9.3 METHODS FOR INORGANIC FOULING IDENTIFICATION -- 9.4 METHODS FOR INORGANIC FOULING REMOVAL -- 9.5 REFERENCES -- Chapter 10: Assessing Scaling Potential with Induction Time and a Once-through Laboratory Scale RO System -- 10.1 INTRODUCTION -- 10.2 INDUCTION TIME MEASUREMENTS -- 10.2.1 Experimental setup -- 10.2.1.1 Glass reactor -- 10.2.1.3 pH meter -- 10.2.1.4 Peristaltic pump -- 10.2.1.5 Thermostat -- 10.2.2 Experimental procedure -- 10.2.2.1 Preparation of artificial brackish water -- 10.2.2.2 Induction time measurement -- 10.2.3 Calculation of induction time -- 10.2.4 Cleaning of the reactor -- 10.2.5 Example of application of induction time -- 10.3 ONCE THROUGH LAB-SCALE RO SYSTEM -- 10.3.1 Experimental set-up -- 10.3.2 Experimental protocol -- 10.3.3 Example of application -- 10.4 OUTLOOK AND FINAL COMMENTS -- 10.5 REFERENCES -- Part 4: Organic fouling -- Chapter 11: Practical Considerations of Using LC-OCD for Organic Matter Analysis in Seawater -- 11.1 INTRODUCTION -- 11.2 LC-OCD ANALYSIS -- 11.2.1 Instrumentation and chromatogram integration -- 11.2.2 Effect of salinity on organic characterization and calibration -- 11.2.3 LEVEL OF DETECTION -- 11.2.4 REPRODUCIBILITY OF LC-OCD -- 11.2.5 CHARACTERISATION OF ORGANIC MIXTURES -- 11.2.6 Applications…”

Tabla de Contenidos: “…-- 1.6.3 Typical Activities in a Smart City -- 1.7 Manufacturing -- 1.7.1 Smart Factory Uses -- 1.8 Agriculture -- 1.8.1 How 5G Can Change the Agriculture Sector: Smart Farming -- 1.9 Media and Entertainment -- 1.10 Healthcare -- 1.10.1 Healthcare Applications -- 1.10.1.1 Remote Monitoring -- 1.10.1.2 Advance Remote Procedures with 5G Technology -- 1.10.1.3 Handling of Patient Data Records -- 1.10.1.4 Telemedicine Appointments -- 1.11 Engineering Applications -- 1.11.1 Remote Operation -- 1.11.2 Advanced Design Decisions -- 1.11.3 Timely Deliveries -- 1.12 Financial Services -- 1.13 Public Transport -- 1.14 Public Safety -- 1.15 Energy and Utilities -- 1.15.1 Smart Grid -- 1.15.2 Smart Meters for the Home -- 1.15.3 Remote Monitoring of Energy Sites -- 1.16 Summary -- Acronyms -- References -- Chapter 2 The Role of 5G in Smart Transportation -- 2.1 Introduction -- 2.2 Role of 5G in Real-Time Traffic Operations -- 2.3 Role of 5G in Entertainment Systems in Vehicles -- 2.4 Role of 5G in Driverless cars and Autonomous Vehicles -- 2.5 Role of 5G in Sensor-Based Intelligent Transportation Applications -- 2.6 Role of 5G in Accident Prevention Systems…”