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Includes bibliographical references and index.
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Intro; Contents; Introduction; A Smart Parking for Invisible Disabilities; Abstract; 1 Introduction; 2 Overview; 2.1 Mobile Phone Sensing for Pervasive Healthcare; 2.2 Queuing Systems for the Parking Service; 3 Proposed Parking System; 3.1 Flow of Proposed System; 3.2 Simulation System by ARENA Rockwell; 4 Result and Discuss; 5 Conclusion; References; Smart Water Management: Pillars and Technologies; Abstract; 1 Introduction; 2 The Advantages of the Smart Water Management; 3 Pillars of the Smart Water Management; 3.1 The Human Pillar; 3.2 The Legal and Political Pillar
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3 Results4 Discussion; 5 Conclusion; Appendix: ISysQ Model Abbreviations; References; A Clustering-Based Method for Detecting Text Area in Videos Recorded with the Aid of a Smartphone; Abstract; 1 Introduction; 2 Proposed Method; 2.1 Line Segment Localization; 2.2 Clustering of Line Segments; 2.3 Segments Filtering; 2.4 Locating the Text Area; 3 Results; 3.1 Results by Document Class; 3.2 Comparison with Existing Methods; 4 Conclusion; References; Chipless RFID Tag Using Multiple G-Shaped Resonators; Abstract; 1 Introduction; 2 Chipless RFID Tag Design; 3 Ultra Wide Band Antenna Design
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3.3 Operations Acting on the Whole Temporal Characteristics Document3.4 Operations Common to the Temporal Logical and Physical Characteristics; 3.5 Operations Specific to the Temporal Logical Characteristics; 3.6 Operations Specific to the Temporal Physical Characteristics; 4 Application Example; 5 Conclusion; References; Specific Qualification for Information System Components from Managers and Technical Staff Perspective; Abstract; 1 Introduction; 2 Research Methodology; 2.1 ISysQ Model Background; 2.2 Aggregating Variables Questions into Variables Indicators; 2.3 Values Standardization
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3.3 The Economic Pillar3.4 The Technological Pillar; 4 The Smart Water Grid; 4.1 The Components of the Smart Water Grid; 4.2 The Keys of the Smart Water Grid; 5 Conclusion; References; Integrating ICT in Education: An Adaptive Learning System Based on Users' Context in Mobile Environments; Abstract; 1 Introduction; 2 An Overview of the Proposed Framework; 2.1 Architecture of the System; 2.2 The Proposed Process of Adaptation; 3 Conclusion; References; Modified Strategy of Direct Torque Control Applied to Asynchronous Motor Based on PI Regulators; Abstract; 1 Introduction
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0
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8
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8
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8
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This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualisation, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. Papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart city in particular. The book appeals to advanced undergraduate and graduate students, postdoctoral researchers, lecturers and industrial researchers, as well as anyone interested in big data analysis and smart city.