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Table 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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Table of Contents: “...The Feasibility of Variable Rate N Fertilization in Saskatchewan -- A Comparison of Rapid GPS Techniques For Topographic Mapping -- A Method for Direct Comparison of Differential Global Positioning Systems Suitable for Precision Farming -- Centimeter Accuracy Differential GPS for Precision Agriculture Applications -- Multispectral Videography and Geographic Information Systems for Site-Specific Farm Management -- Variability in Volume Metering Devices -- Mass Flow Measurement with a Curved Plate at the Exit of an Elevator -- Accuracy of grain and straw yield mapping -- Corn Population and Plant Spacing Variability: The Next Mapping Layer -- Digital Control of Flow Rate and Spray Droplet Size from Agricultural Nozzles for Precision Chemical Application -- Use of Injection for Site-specific Chemical Application -- Design of a Centrifugal Spreader for Site-Specific Fertilizer Application -- Precision Center Pivot Irrigation for Efficient Use of Water and Nitrogen -- Center-Pivot Irrigation System Control and Data Communications Network for Real-Time Variable Water Application -- Automatic Steering of Farm Vehicles Using GPS -- Applications of Image Understanding Technology in Precision Agriculture: Weed Classification, and Crop Row Guidance -- Corn Plant Population Sensor for Precision Agriculture -- Nozzle Selection and Replacement Based on Nozzle Wear Analysis -- Dynamics of Peanut Flow Through a Peanut Combine -- Precision GPS Flow Control for Aerial Spray Applications -- Effectiveness of AgLeader Yield Monitor for Evaluation of Varietal Strip Data -- A Site-Specific Center Pivot Irrigation System for Highly-Variable Coastal Plain Soils -- Site-Specific Sugarbeet Yield Monitoring -- Multispectral Remote Sensing and Site-Specific Agriculture: Examples of Current Technology and Future Possibilities -- Spatially Varied Nitrogen Application Through a Center Pivot Irrigation System -- Variable Rate Application Technology: An Overview -- Development of a Precision Application System for Liquid Animal Manures -- Estimation of Quality of Fertilizer Distribution -- Building a Yield Map from Geo-referenced Harvest Measurements -- Yield and Residue Monitoring System -- Comparison of AgLeader Yield monitor and Plot Combine yields -- Weed Detection in Cereal Fields Using Image Processing Techniques -- ADAR Digital Aerial Photography Applications In Precision Farming -- Estimating Plant N Staus from Leaf and Canopy Reflectance Data -- The Center for Precision Farming, School of Agriculture Food and Environment -- Controlling Variable Rate Applications on Self-propelled Irrigation Systems -- Linear Move Irrigation System Position as Determined with Nondifferential Economic GPS Unit -- GPS for Precision Farming: A Dense Network of Differential Reference Stations -- Use of High-Resolution Global Positioning Systems in a Site-Specific Crop Management Project in Ontario -- Impact of Dry Fertilizer Multiple Product Blending on Variable Rate Application Precision -- Revolution, Evolution or Dead-End: Economic Perspectives on Precision Agriculture -- Calculating Profitability of Grid Soil Sampling and Variable Rate Fertilizing for Sugar Beets -- P And K Grid Sampling: What Does It Yield Us? ...”
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Table of Contents: “...Prerequisites -- Learning objectives -- Terminology -- 3.1 Introduction to ore and mineral sampling -- 3.2 Sampling during exploration -- 3.2.1 Sampling directed to outcrops -- 3.2.2 Sampling in slopes -- 3.2.3 Sampling with diamond drillings -- 3.2.4 Sampling with reverse circulation drilling -- 3.3 Sampling during the production phase -- 3.3.1 Blasthole sampling -- 3.3.2 Stope and bench sampling -- 3.3.3 Heap sampling from truckloads and conveyor belts -- 3.3.4 Sampling in ore processing plants -- 3.4 Sampling bias -- 3.5 Compositing -- 3.6 Sampling protocols -- 3.7 Sampling theory for particulate materials -- 3.8 Graphical solution of the sample reduction problem -- Exercises -- Exercise 3.1 -- Answer -- References -- 4 The stochastic model of estimation -- Synopsis -- Prerequisites -- Learning objectives -- Terminology -- 4.1 Amid the aroma of coffee and steam, echoes of alternate realities gleam -- 4.2 The concept of a Random Function -- 4.3 Distributions and parameters associated with a Random Function -- 4.4 An important property of the covariance function -- 4.5 Simplified Random Function models -- 4.6 The function of increments of a Random Function -- 4.7 Continuing with the example of random walk -- 4.8 Case study -- Answer -- Exercises -- Exercise 4.1 -- Answer -- References -- 5 Variograms and the structural analysis of a random function -- Synopsis -- Prerequisites -- Learning objectives -- Terminology -- 5.1 Spatial continuity and its quantification -- 5.2 Practical approaches for computing the experimental variogram -- 5.3 Important aspects of the variogram -- 5.4 Indicator variogram -- 5.5 Case study: structural analysis of a lignite orebody -- Exercises -- Exercise 5.1 -- Answer -- Exercise 5.2 -- Answer -- References -- 6 Fitting theoretical models of variograms -- Synopsis -- Prerequisites -- Learning objectives -- Terminology....”
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Table of Contents: “...Dynamic probabilistic risk analysis data processing -- 10.8. Integration of classical probabilistic risk analysis models into dynamic probabilistic risk analysis -- 10.9. ...”
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Table of Contents: “.... -- 6.1 Introduction -- 6.1.1 Background -- 6.1.2 Literature review and classification of scheduling problems -- 6.1.3 The scheduling problems -- 6.1.4 Integrating scheduling in the big data environment -- 6.2 Satellite scheduling problems -- 6.2.1 Satellite range scheduling -- 6.2.2 Satellite downlink scheduling -- 6.2.3 Satellite broadcast scheduling -- 6.2.4 Satellite scheduling data download -- 6.2.5 Satellite scheduling at large scale -- 6.2.6 Satellite scheduling at small scale -- 6.2.7 Multisatellite scheduling -- 6.2.8 Multisatellite, multistation TT andamp -- C scheduling -- 6.2.9 Ground station scheduling -- 6.2.10 Low-earth-orbit satellite scheduling -- 6.2.11 Computational complexity of satellites scheduling -- 6.2.12 Satellite deployment systems -- 6.3 Spacecraft optimization problems -- 6.4 Computational complexity resolution methods -- 6.4.1 Local search methods -- 6.4.1.1 Hill climbing -- 6.4.1.2 Simulated annealing -- 6.4.1.3 Tabu search method -- 6.4.1.4 Genetic algorithms -- 6.4.1.5 Two-stage heuristic -- 6.4.1.6 An Improved differential evolution algorithm -- 6.4.1.6.1 Symbol definition -- 6.4.1.7 Multisatellite task prescheduling algorithm based on conflict imaging probability -- 6.5 Future trend of algorithms and models and solutions of satellite scheduling problem -- 6.6 Benchmarking and simulation platforms -- 6.7 Conclusions and future work -- Acknowledgments -- References -- 7 Colored Petri net modeling of the manufacturing processes of space instruments -- 7.1 Introduction -- 7.1.1 Development of Petri net....”
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