LEADER 01363nam 2200373Ia 450 001 996396078703316 005 20200824125117.0 035 $a(CKB)4330000000346907 035 $a(EEBO)2248566972 035 $a(OCoLC)ocm12594327e 035 $a(OCoLC)12594327 035 $a(EXLCZ)994330000000346907 100 $a19850924d1675 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 14$aThe saints temptations$b[electronic resource] $ewherein the nature, kinds, occasion of temptation, and the duty of the saints under temptation are laid forth : as also the saints great fence against temptation, viz. divine grace : wherein the nature, excellency, and necessity of the grace of God is displayed in several sermons /$fby John Rowe .. 210 $aLondon $cPrinted for Francis Tyton ...$d1675 215 $a[8], 431 p 300 $aIncludes bibliographical references. 300 $aErrata: prelim. p. [8]. 300 $aAdded t.p. 300 $aReproduction of original in Cambridge University Library. 330 $aeebo-0021 606 $aSaints$xAttributes 615 0$aSaints$xAttributes. 700 $aRowe$b John$f1626-1677.$01006989 801 0$bEAA 801 1$bEAA 801 2$bm/c 801 2$bWaOLN 906 $aBOOK 912 $a996396078703316 996 $aThe saints temptations$92360013 997 $aUNISA LEADER 05358nam 2200709Ia 450 001 9911019694803321 005 20200520144314.0 010 $a9786612123559 010 $a9781282123557 010 $a1282123556 010 $a9780470744673 010 $a0470744677 010 $a9781615832675 010 $a161583267X 010 $a9780470744666 010 $a0470744669 035 $a(CKB)1000000000719700 035 $a(EBL)427947 035 $a(OCoLC)476271683 035 $a(SSID)ssj0000331991 035 $a(PQKBManifestationID)11263447 035 $a(PQKBTitleCode)TC0000331991 035 $a(PQKBWorkID)10331382 035 $a(PQKB)11077714 035 $a(MiAaPQ)EBC427947 035 $a(Perlego)2759982 035 $a(EXLCZ)991000000000719700 100 $a20090212d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFailure analysis of paints and coatings /$fDwight G. Weldon 205 $aRev. ed. 210 $aChichester, West Sussex ;$aHoboken, N.J. $cWiley$d2009 215 $a1 online resource (382 p.) 300 $aDescription based upon print version of record. 311 08$a9780470697535 311 08$a0470697539 320 $aIncludes bibliographical references and index. 327 $aFailure Analysis of Paints and Coatings, Revised Edition; Contents; Preface to the Revised Edition; Preface to the First Edition; Acknowledgements; 1: General Principles of Coating Formulation; 1.1 INTRODUCTION; 1.2 BINDERS; 1.3 PIGMENTS; 1.4 SOLVENTS; 1.5 ADDITIVES; 1.6 FORMULATION CONCEPTS: PIGMENT-TO-BINDER RATIO; 1.7 FORMULATION CONCEPTS: PIGMENT-VOLUME CONCENTRATION; 1.8 FORMULATION CONCEPTS: DENSITY, WEIGHT SOLIDS AND VOLUME SOLIDS; REFERENCES; 2: Why Coatings Work and Why They Fail; 2.1 WHY COATINGS WORK; 2.1.1 Adhesion; 2.1.2 Wetting; 2.1.3 Surface Preparation; 2.1.4 Cohesive Strength 327 $a2.1.5 Permeability2.2 WHY COATINGS FAIL; 2.2.1 Mechanical Stress; 2.2.2 Internal Stress; 2.2.3 Chemical Attack; 2.2.4 Weathering Stress; 2.2.5 Osmotic Blistering; 2.2.6 Electroendosmotic Blistering; REFERENCES; 3: Pigments; 3.1 INORGANIC PIGMENTS; 3.1.1 Inorganic Colour Pigments - White; 3.1.2 Inorganic Colour Pigments - Yellow; 3.1.3 Inorganic Colour Pigments - Orange; 3.1.4 Inorganic Colour Pigments - Red; 3.1.5 Inorganic Colour Pigments - Blue; 3.1.6 Inorganic Colour Pigments - Green; 3.2 EXTENDER PIGMENTS; 3.2.l Silica/Silicates; 3.2.2 Calcium Carbonate; 3.2.3 Barytes 327 $a3.3 CORROSION-RESISTANT PIGMENTS3.4 ORGANIC PIGMENTS; 3.4.1 Organic Red Pigments; 3.4.2 Organic Yellow Pigments; 3.4.3 Organic Blue Pigments; 3.4.4 Organic Green Pigments; REFERENCES; 4: Additives and Solvents; 4.1 ADDITIVES; 4.1.1 Anti-settling Agents; 4.1.2 Viscosity Modifiers; 4.1.3 Surfactants and Emulsifying Agents; 4.1.4 De-foaming and Anti-foaming Agents; 4.1.5 Driers; 4.1.6 Plasticizers; 4.1.7 Ultraviolet Stabilizers; 4.1.8 Anti-skinning Agents; 4.1.9 Biocides; 4.1.10 Flow-Modifying Agents; 4.2 SOLVENTS; REFERENCES; 5: Coating Types and Common Failure Modes 327 $a5.1 NATURAL RESINS AND OILS5.1.1 Natural Resins; 5.1.2 Oils; 5.2 ALKYDS AND EPOXY ESTERS; 5.2.1 Alkyds; 5.2.2 Epoxy Esters; 5.3 EPOXIES; 5.3.1 Amine and Amide Curing Agents for Epoxy Resins; 5.3.2 Epoxy Failure Modes; 5.4 MODIFIED EPOXIES; 5.4.1 Acrylic Epoxies; 5.4.2 Coal Tar Epoxies; 5.4.3 Epoxy Phenolics; 5.5 PHENOLICS; 5.5.1 Resole Phenolics; 5.5.2 Novolac Phenolics; 5.5.3 Phenolic Failure Modes; 5.6 AMINO RESINS; 5.7 ACRYLICS; 5.7.1 Solution Acrylics; 5.7.2 Acrylic Latex Coatings; 5.7.3 Thermoset Acrylics; 5.8 POLYESTERS; 5.8.1 Saturated Polyesters; 5.8.2 Unsaturated Polyesters 327 $a5.9 POLYURETHANES5.9.1 Two-Component Polyisocyanate/Polyol Coatings; 5.9.2 Urealkyds; 5.9.3 Moisture-Cured Polyurethanes; 5.9.4 Polyurethane Lacquers and Dispersions; 5.9.5 Two-Component Water-Borne Polyurethanes; 5.10 VINYLS; 5.10.1 Solution Vinyls; 5.10.2 Plastisols and Organosols; 5.10.3 Vinyl Fluorides; 5.10.4 Poly(vinyl butyral); 5.10.5 Vinyl Latexes; 5.11 BITUMINOUS COATINGS; 5.12 INORGANIC AND SILICONE-MODIFIED COATINGS; 5.12.1 Silicone Coatings; 5.12.2 Silicate Coatings; 5.12.3 Polysiloxane Coatings; 5.13 POLYUREAS; 5.13.1 Polyaspartic Polyurea Coatings; 5.14 POWDER COATINGS 327 $aREFERENCES 330 $aEntirely devoted to the failure analysis of coatings and paints - an "excellent reference to a select market".Latest edition contains new material on surface preparation, transfer of salt to steel from contaminated abrasive, effect of peak density on coating performance, on galvanizing, silane-modified coatings, polyurea coatings, polyaspartics, and powder coatings and on dry spray.Balances scientific background and practical advice, giving both the theory and applications in a slim, easily readable form.Includes case studies of laboratory tests.Written by 606 $aPaint$xTesting 606 $aCoatings$xTesting 615 0$aPaint$xTesting. 615 0$aCoatings$xTesting. 676 $a667/.90287 686 $aVN 5750$2rvk 700 $aWeldon$b Dwight G$01842366 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019694803321 996 $aFailure analysis of paints and coatings$94422429 997 $aUNINA LEADER 11694nam 22005893 450 001 9911019974703321 005 20250701142530.0 010 $a9781394261710 010 $a1394261713 010 $a9781394261727 010 $a1394261721 035 $a(MiAaPQ)EBC31309747 035 $a(Au-PeEL)EBL31309747 035 $a(CKB)31798099600041 035 $a(Exl-AI)31309747 035 $a(Perlego)4404854 035 $a(OCoLC)1432601042 035 $a(EXLCZ)9931798099600041 100 $a20240502d2024 uy 0 101 0 $aeng 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSmart Grids As Cyber Physical Systems, 2 Volume Set 205 $a1st ed. 210 1$aNewark :$cJohn Wiley & Sons, Incorporated,$d2024. 210 4$dİ2024. 215 $a772 pages 311 08$a9781394261697 311 08$a1394261691 327 $aCover -- Volume 1 -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Grid Independent Dynamic Charging of EV Batteries Using Solar Energy -- 1.1 Introduction -- 1.2 Proposed Methodology -- 1.3 Design of Boost Converter -- 1.4 Perturb and Observe Algorithm for Tracking Maximum Power -- 1.5 Charge Controller -- 1.6 Conclusion -- References -- Chapter 2 RS-11-I Design and Control of Solar-Battery-Based Microgrid System -- 2.1 Introduction -- 2.2 Solar Battery System Modelling -- 2.2.1 Reduced Switch 11-Level Inverter (RS-11-I) -- 2.3 Reduced PLL-Based Control Modelling -- 2.3.1 DC-Link Voltage Regulation -- 2.3.2 RS-11-I Control Application -- 2.4 Result Analysis -- 2.5 Conclusion -- Acknowledgment -- Funding Statement -- References -- Chapter 3 A Novel Concept of Hybrid Storage Integrated Smart Grid System with Integrated SoC Management Scheme -- 3.1 Introduction -- 3.2 Proposed Droop SoC- and State of Power (SOP)-Based Management Method -- 3.2.1 Basic Operation Mode of DESS -- 3.2.2 ESUS Model -- 3.2.3 Basic Model of SoC Management Control System -- 3.2.4 Proposed SoC Management Scheme and the Undertaken System -- 3.3 Result Analysis -- 3.3.1 Charging Case -- 3.3.2 Discharging Case -- 3.4 Conclusion -- References -- Chapter 4 Parameters Sensitivity of Solar Photovoltaic Array Architectures under Incremental Row and Column Shading -- 4.1 Introduction -- 4.2 System Modelling and Description -- 4.3 Electrical Parameters Estimation -- 4.4 Sensitivity Analysis of Electrical Parameters of PV Array Under Incremental Partial Shading -- 4.4.1 Analysis under Incremental Row Shading Scenario -- 4.4.2 Analysis under Incremental Column Shading Scenario -- 4.5 Conclusion -- References -- Chapter 5 Controlled Smart Robotic Arm for Optimized Movement in Pharma Application -- 5.1 Introduction -- 5.2 Description of the Prototype. 327 $a5.3 Segments of the Prototype -- 5.3.1 Designing the Circuit of the Prototype -- 5.3.2 Designing the Mobile App for User Interface -- 5.4 Design Specifications -- 5.5 Simulation Analysis -- 5.6 Hardware Analysis -- 5.7 Conclusion -- References -- Chapter 6 An Exploration of Internet of Everything in Smart Universe -- 6.1 Introduction -- 6.2 Related Work -- 6.2.1 Smart Infrastructure -- 6.2.2 Smart Building -- 6.2.3 Smart Healthcare -- 6.2.4 IoE in Healthcare Networks -- 6.2.5 IoE Healthcare Services -- 6.2.6 IoE Healthcare Security -- 6.2.7 IoE in Smart Countries -- 6.2.8 Smart Agriculture -- 6.2.9 Smart Grid -- 6.2.10 Industrial IoT -- 6.2.11 IoT in Education -- 6.2.12 Use Cases -- 6.2.12.1 Smart Classrooms -- 6.2.12.2 Smart Books -- 6.2.12.3 Augmented and Virtual Reality in Education -- 6.2.12.4 Smart Campus -- 6.2.12.5 Assisted Learning for the Disabled -- 6.2.12.6 Distance Learning -- 6.2.12.7 Advantages of IoT in Education -- 6.2.12.8 Disadvantages of IoT in Education -- 6.2.13 IoT in Waste Management -- 6.2.14 Route Optimization -- 6.2.15 No Deliveries were Missed -- 6.2.16 Recycling in an Effective and Efficient Way -- 6.2.17 IoT Management Systems that are Automated -- 6.2.18 Analyzing Data Quickly -- 6.2.19 IoT in Water Management -- 6.2.20 Use Cases -- 6.2.20.1 Water Management in Group Residential Areas -- 6.2.20.2 Water Management in Campuses -- 6.2.20.3 Water Management in Industries -- 6.2.20.4 Water Management in Irrigation -- 6.2.20.5 Water Management for Underground Water Source -- 6.2.20.6 Advantages of IoT in Water Management -- 6.2.20.7 Disadvantages of IoT in Water Management -- 6.2.21 IoT in the Food Industry -- 6.2.21.1 Accessibility to Customers -- 6.2.21.2 Quality Food Assurance -- 6.2.21.3 Improving Food Safety -- 6.2.22 Transparent Supply Chain Management -- 6.2.22.1 Recall of Goods -- 6.2.22.2 Energy Conservation. 327 $a6.2.22.3 Effective Inventory Control -- 6.2.22.4 Forged Product Identification -- 6.2.22.5 Logistics that are More Efficient -- 6.2.22.6 Operational Efficiency -- 6.2.23 IoT in the Banking Sector -- 6.2.24 Use Cases -- 6.2.24.1 Debt Collection -- 6.2.24.2 Heist Prevention -- 6.2.24.3 Fraud Detection -- 6.2.24.4 Emergence of FinTech -- 6.2.24.5 Employee Training -- 6.2.24.6 Advantages of IoT in Banking -- 6.2.24.7 Disadvantages of IoT in Banking -- 6.2.25 IoT in Government Sectors -- 6.2.26 Use Cases -- 6.2.26.1 Public Healthcare -- 6.2.26.2 Public Transportation -- 6.2.26.3 Disaster Management -- 6.2.26.4 Public Safety -- 6.2.26.5 Advantages of IoT in Government Sectors -- 6.2.26.6 Disadvantages of IoT in Government Sectors -- 6.2.27 IoT in Underwater Vehicle -- 6.2.28 IoT in Criminology and Emergency Management -- 6.2.28.1 Cyber Crime Attacks -- 6.2.28.2 Crime Harvests and the IoT -- 6.2.28.3 Digital Device Forensics -- 6.2.28.4 The Need for IoT Forensics -- 6.2.28.5 Evidence Identification, Collection,and Preservation -- 6.2.28.6 Evidence Analysis and Correlation -- 6.2.28.7 Opportunities of IoT Forensics -- 6.3 Conclusion -- References -- Chapter 7 An Intelligent Smart Grid Switching System for an Efficient Load Balancing Through Machine Learning Models -- 7.1 Introduction -- 7.2 Backbone of Work -- 7.3 Theory Behind Smart Grids and Integration in the Field -- 7.4 Phases of Data Through the Smart Grids -- 7.4.1 Data Cleaning -- 7.4.2 Data Transformation -- 7.4.3 Data Reduction -- 7.5 Flowchart of the Proposed Smart Grid System -- 7.6 Work Done -- 7.7 Working with Dataset-Dataset Description -- 7.8 Tools Used for Implementing the Proposed Algorithm -- 7.9 Results -- 7.10 Inference of the Solution -- 7.11 Conclusion and Future Work -- References -- Chapter 8 Hybrid Energy Storage System for Battery-Powered Electric Vehicles -- 8.1 Introduction. 327 $a8.2 Need of Electric Vehicle -- 8.2.1 Overview of Single Phase Induction Motor -- 8.2.2 Objectives -- 8.3 Methodology -- 8.4 Simulation Results and Discussion -- 8.5 Conclusion -- References -- Chapter 9 FPGA-Based Smart Building Access Control -- 9.1 Introduction -- 9.2 Methodology -- 9.3 FSM Sequence Detector -- 9.4 UART Transmitter -- 9.5 Results -- 9.6 Conclusion -- References -- Chapter 10 Artificial Hyperintelligence-Enabled Cyber-Physical System Control for Autonomous Vehicles -- 10.1 Introduction -- 10.2 Analytical Framework -- 10.2.1 Literature Review -- 10.3 Layer Architecture of Cyber-Physical Intelligent Systems (CPIS) -- 10.3.1 Layer Approach of Autonomous Vehicle Control -- 10.3.2 End-to-End Security Parameters -- 10.4 Cyber-Physical Autonomous Vehicle vs. Machine Learning Systems -- 10.4.1 New Entry Authentication Procedure -- 10.4.2 Autonomous Vehicles Basic Requirements -- 10.4.3 Global Positioning System (GPS) -- 10.4.4 Short-Range Communication Transceiver -- 10.4.5 Cameras -- 10.4.6 Ultrasonic Sensor -- 10.4.7 Light Detection and Ranging (LIDAR) -- 10.4.8 Radar Sensor -- 10.4.9 Server Controller -- 10.4.10 Protocol Specification -- 10.4.11 Imperial Cohort Reply Procedure for Optimal Channel Selection -- 10.5 Results and Discussion -- 10.5.1 Handover Rate of Failure vs. Vehicles Count -- 10.5.2 Packet Delivery Rate (PDR) vs. Vehicle Count -- 10.6 Conclusion -- References -- Chapter 11 FPGA-Based Smart Delivery Bot -- 11.1 Introduction -- 11.2 Methodology -- 11.3 Test Graph -- 11.4 Results and Discussion -- References -- Chapter 12 Cabin Cooling System for Heavy Commercial Load Vehicle -- 12.1 Introduction -- 12.2 Literature Survey -- 12.2.1 Beginning With the Principal Warmer or A/C -- 12.2.2 Additional Protection -- 12.2.3 Utilizing Genuine Profound Cycle Batteries -- 12.2.4 Roof-Mounted Air-Conditioning System RTX 1000. 327 $a12.2.5 Roof-Mounted Air-Conditioning System RTX 2000 -- 12.2.6 Cooltronic G2.5 Auxiliary Air-Conditioning System -- 12.3 Working Principle of Peltier Cooler -- 12.3.1 Elements of Peltier Cooler -- 12.3.2 Heat Absorption -- 12.3.3 Thermal Insulation -- 12.4 Proposed Idea -- 12.5 Design Specifications -- 12.6 Prototyping -- 12.7 Advantages of Proposed Idea -- 12.8 Conclusion -- References -- Chapter 13 Renewable Energy and Its Dynamic Value -- 13.1 Introduction -- 13.2 Is a Wetter Grid a Greener Grid? Estimating Emigration Equipoises for Wind and Solar Power in the Presence of Larger Hydroelectric Power -- 13.2.1 Data -- 13.3 Wind, Solar, and Hydropower Trends in CAISO -- 13.3.1 Power Generation Trends -- 13.4 Identification -- 13.5 Electricity Storehouse, Emissions Levies, and Value of Renewable Energy -- 13.5.1 Introduction -- 13.5.2 Literature Review -- 13.5.3 Emissions Functions -- 13.5.4 Wind Power and Storage Parameters -- 13.5.5 Policy Scenarios and Monte Carlo Simulations -- 13.5.6 Welfare and Allocations -- 13.5.7 Emissions Offsets -- 13.5.8 Accounting for Regulating Reserves Costs -- 13.6 Conclusion -- References -- Chapter 14 Energy Resources and Reliability Assessments -- 14.1 Motivation -- 14.1.1 Objections -- 14.2 Photovoltaic (PV) Systems -- 14.2.1 Attributes of PV System -- 14.2.2 Grid Level PV Farm Structure -- 14.2.2.1 Output Power of PV Systems -- 14.2.2.2 Attributes of PV System Components -- 14.2.3 Reliability Modelling of Major Photovoltaic System Components' Reliability -- 14.2.3.1 Power Electronic Circuit Components -- 14.2.3.2 Reliability of PV Panels -- 14.3 Reliability Modelling of PV System -- 14.4 Case Studies -- 14.5 Conclusion -- 14.6 Future Works -- References -- Chapter 15 Electric Vehicle Charging Stations Effect on Battery Storage Technology -- 15.1 Introduction -- 15.1.1 Background -- 15.1.2 Problem Statement. 327 $a15.1.3 Research Objectives. 330 $aThis book explores the integration of artificial intelligence and clean energy technologies within next-generation smart grids, emphasizing their role as cyber-physical systems. It provides comprehensive insights into methods for grid-independent charging of electric vehicle batteries using solar energy, the design and control of microgrid systems, and hybrid storage systems. Additionally, the book examines the Internet of Everything's impact on various sectors, including smart healthcare and agriculture, and discusses the intelligent management of smart grid systems through machine learning models. The intended audience includes researchers, engineers, and professionals in the fields of energy, technology, and smart infrastructure.$7Generated by AI. 606 $aSmart power grids$7Generated by AI 606 $aArtificial intelligence$7Generated by AI 615 0$aSmart power grids 615 0$aArtificial intelligence 676 $a621.31 700 $aSwathika$b O. V. Gnana$01837499 701 $aKarthikeyan$b K$01837500 701 $aSanjeevikumar$b P$01837501 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019974703321 996 $aSmart Grids As Cyber Physical Systems, 2 Volume Set$94416240 997 $aUNINA