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4041
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4042
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4043Published 2022Table of Contents: “...Front Cover -- IoT, Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems -- Contents -- Preface -- Acknowledgments -- List of Figures -- List of Tables -- List of Contributors -- List of Abbreviations -- 1 Introduction to IoT -- 1.1 Introduction -- 1.2 History -- 1.3 Applications of IoT -- 1.3.1 Domestic Applications -- 1.3.2 Applications in Healthcare -- 1.3.3 Applications in E-commerce -- 1.3.4 Industrial Applications -- 1.3.5 Applications in Energy -- 1.4 Technical Details of IoT -- 1.4.1 Sensors -- 1.4.2 Actuators -- 1.4.3 Processing Topologies -- 1.4.4 Communication Technologies -- 1.5 Recent Developments -- 1.6 Challenges -- 1.7 Conclusion -- References -- 2 IoT and its Requirements for Renewable Energy Resources -- 2.1 Introduction -- 2.1.1 IoT and its Necessity -- 2.1.2 Challenges in RES -- 2.1.3 Integration of IoT in RES and Benefits -- 2.2 Industrial IoT -- 2.2.1 Architecture of IoT -- 2.2.2 IoT Components -- 2.3 RES and IoT -- 2.3.1 IoT Controls for RES -- 2.3.2 Challenges in IoT Implementation -- 2.4 Challenges of IoT in EMS Post-implementation -- 2.4.1 Privacy Issues -- 2.4.2 Security Concerns -- 2.4.3 Data Storage Issues -- 2.4.3.1 Challenges in data management -- 2.4.3.2 Challenges in fetching data -- 2.4.3.3 Challenges in allocation -- 2.5 Solution to IoT Challenges -- 2.5.1 Blockchain Methodology -- 2.5.1.1 Blockchain technology infrastructure features -- 2.5.1.2 Application domains of blockchain technology -- 2.5.1.3 Challenges of blockchain technology -- 2.5.2 Cloud Computing -- 2.5.2.1 Reference architecture -- 2.5.2.2 Network communication and its challenge -- 2.5.2.3 Privacy and security -- 2.5.2.4 Background information -- 2.5.2.5 Big data analytics -- 2.5.2.6 Provision of program quality -- 2.5.2.7 IPv4 addressing limit -- 2.5.2.8 Legal aspects and social facts....”
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4044
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4045
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4047
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4048Published 2009Table of Contents: “...Hill -- Digital Warfighter Modeling for Military Applications / Karim Abdel-Malek, Jingzhou (James) Yang, Timothy Marler, and Jasbir Arora -- Part VII: Management and Process Improvement -- Achieving Strategic Aims: Moving Toward a Process-based Government Enterprise / George R. ...”
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4049
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4054Published 2024Table of Contents: “.... -- 2.2.1 INTRODUCTION -- 2.2.2 BIOGEOCHEMICAL ROLES OF ARCHAEA -- 2.2.3 BIOLOGY AND ECOLOGY OF ARCHAEA THROUGH APPLICATION OF HIGH-THROUGHPUT SEQUENCING -- 2.2.4 MICROBIAL ECOLOGY OF ARCHAEA FROM CHILIKA LAGOON -- 2.2.4.1 Benthic Archaeal Communities of Chilika Lagoon -- 2.2.4.1.1 Benthic Archaea in Vegetated Sediments -- 2.2.4.1.2 Benthic Archaea in Bulk Sediments -- 2.2.4.1.3 Benthic Archaea in Vegetated Mudflat Sediments -- 2.2.4.2 Planktonic Archaea in Chilika Lagoon: a Case Study using High-throughput Sequencing -- 2.2.4.2.1 Water Sample Collection and Physicochemical Measurements -- 2.2.4.2.2 DNA Extraction, PCR, and Illumina MiSeq Sequencing -- 2.2.4.2.3 Processing of Sequence Data and Statistical Analysis -- 2.2.4.2.4 Data Accessibility -- 2.2.4.3 Results and Discussion -- 2.2.4.3.1 Spatial Variability of Environmental Parameters -- 2.2.4.3.2 General Sequence Data Characteristics -- 2.2.4.3.3 Taxonomic Composition and Functional Potential of Planktonic Archaea -- 2.2.4.3.4 Comparison Between Planktonic and Benthic Archaea Composition -- 2.2.5 CONCLUDING REMARKS AND PERSPECTIVE -- Acknowledgment -- REFERENCES -- 2.3 -- Molecular Tools in Microbial Diversity: Functional Assessment for Genomes and Metagenomes by Genomaple -- 2.3.1 INTRODUCTION -- 2.3.2 DEVELOPMENT OF A NEW METHOD FOR EVALUATING THE POTENTIAL FUNCTIONOME -- 2.3.2.1 KEGG Module -- 2.3.2.2 Calculation of the Module Completion Ratio Based on the Boolean Algebra-like Equation....”
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4055
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4056
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4057Table of Contents: “...5.1.2 The Familias Package5.2 Exercises; Chapter 6: Models for pedigree inference; 6.1 Population-Level Models; 6.1.1 *Frequency Uncertainty; 6.1.2 *Taking Frequency Uncertainty into Account; 6.1.3 *Population Structure and Subpopulations; 6.1.4 *Haplotype Models; 6.1.5 Population Models for Nonautosomal Markers; 6.2 Pedigree-Level Models; 6.2.1 Mutation Models; The ""Equal'' model; The ""Stepwise'' model; *Stationary mutation models; *Model based on frequencies; *Stabilizing existing mutation models; 6.3 Observational-Level Models; 6.4 Computations; 6.4.1 Identical by Descent...”
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