دانلود کتاب Monitoring Continuous Phenomena: Background, Methods and Solutions

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Cover
Title Page
Copyright Page
Dedication
Foreword
Preface
Acknowledgements
Table of Contents
List of Figures
List of Tables
1. Introduction
1.1 Motivation and Challenges
1.2 Main Contributions
1.3 Observing and Interpolating Continuous Phenomena
1.4 Deterministic Approaches
1.5 Geostatistical Approaches
1.6 Mixed Approaches
1.7 Simulation
1.8 Summary
2. Monitoring Continuous Phenomena
2.1 Overview
2.2 Requirements
2.2.1 (Near) Real-Time Monitoring
2.2.2 Persistent Storage and Archiving
2.2.3 Retrieval
2.3 Resources and Limitations
2.3.1 Sensor Accuracy
2.3.2 Sampling
2.3.3 Computational Power
2.3.4 Time (Processing and Transmission)
2.3.5 Energy (Processing and Transmission)
2.4 Summary
3. Spatio-Temporal Interpolation: Kriging
3.1 Method Overview
3.2 The Experimental Variogram
3.3 The Theoretical Variogram and the Covariance Function
3.4 Variants and Parameters
3.5 Kriging Variance
3.6 Summary
4. Representation of Continuous Phenomena: Vector and Raster Data
4.1 Overview
4.2 Vector Data Properties
4.3 Raster Data Properties
4.4 Raster-Vector Interoperability
4.5 Summary
5. A Generic System Architecture for Monitoring Continuous Phenomena
5.1 Overview
5.2 Workflow Abstraction Concept
5.2.1 Datasets (Input/Source and Output/Sink)
5.2.2 Process/Transmission
5.3 Monitoring Process Chain
5.3.1 Random Field Generation by Variogram Filter
5.3.2 Sampling and Sampling Density
5.3.3 Experimental Variogram Generation
5.3.4 Experimental Variogram Aggregation
5.3.5 Variogram Fitting
5.3.6 Kriging
5.3.7 Error Assessment
5.4 Performance Improvements for Data Stream Management
5.4.1 Problem Context
5.4.2 Sequential Model Merging Approach
5.4.2.1 Overview
5.4.2.2 Related Work
5.4.2.3 Requirements
5.4.2.4 Principle
5.4.2.5 Partitioning Large Models: Performance Considerations
5.4.3 Compression and Progressive Retrieval
5.4.3.1 Overview
5.4.3.2 Related Work
5.4.3.3 Requirements
5.4.3.4 Principle
5.4.3.5 Binary Interval Subdivision
5.4.3.6 Supported Data Types
5.4.3.7 Compression Features
5.5 Generic Toolset for Variation and Evaluation of System Configurations
5.5.1 Context and Abstraction
5.5.2 Computational Workload
5.5.3 Systematic Variation of Methods, Parameters and Configurations
5.5.4 Overall Evaluation Concept
5.6 Summary
6. A General Concept for Higher Level Queries about Continuous Phenomena
6.1 Introduction
6.2 Interpolation
6.3 Intersection
6.4 Aggregation
6.5 Conclusions
7. Experimental Evaluation
7.1 Minimum Sampling Density Estimator
7.1.1 Experimental Setup
7.1.2 Results
7.1.3 Conclusions
7.2 Variogram Fitting
7.2.1 Experimental Setup
7.2.2 Results
7.2.3 Conclusions
7.3 Sequential Merging
7.3.1 Experimental Setup
7.3.2 Results
7.3.3 Conclusions
7.4 Compression
7.4.1 Experimental Setup
7.4.2 Results
7.4.3 Conclusions
7.5 Prediction of Computational Effort
7.5.1 Experimental Setup
7.5.2 Results
7.5.3 Conclusions
7.6 Higher Level Queries
7.6.1 Experimental Setup
7.6.2 Results
7.6.3 Conclusions
7.7 Case Study: Satellite Temperature Data
7.7.1 Experimental Setup
7.7.2 Results
7.7.3 Conclusions
8. Conclusions
8.1 Subsuming System Overview
8.2 Perspective
References
Index