Smart Cities : Foundations and Principles.
Provides the foundations and principles needed for addressing the various challenges of developing smart cities Smart cities are emerging as a priority for research and development across the world. They open up significant opportunities in several areas, such as economic growth, health, wellness, e...
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Full text (MCPHS users only) |
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| Other Authors: | , , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Somerset :
John Wiley & Sons, Incorporated,
2017
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| Subjects: | |
| Local Note: | ProQuest Ebook Central |
Table of Contents:
- Cover; Title Page; Copyright; Contents; Editors Biographies; List of Contributors; Foreword; Preface; Acknowledgments; Chapter 1 Cyber-Physical Systems in Smart Cities
- Mastering Technological, Economic, and Social Challenges; 1.1 Introduction; 1.2 Setting the Scene: Demarcating the Smart City and Cyber-Physical Systems; 1.3 Process Fields of CPS-Driven Smart City Development; 1.4 Economic and Social Challenges of Implementing the CPS-Enhanced Smart City; 1.5 Conclusions: Suggestions for Planning the CPS-Driven Smart City; Final Thoughts; Questions; References.
- Chapter 2 Big Data Analytics Processes and Platforms Facilitating Smart Cities2.1 Introduction; 2.2 Why Big Data Analytics (BDA) Is Significant for Smarter Cities; 2.3 Describing the Big Data Paradigm; 2.4 The Prominent Sources of Big Data; 2.4.1 The Salient Implications of Big Data; 2.4.2 Information and Communication Infrastructures for Big Data and Its Platforms; 2.4.3 Transitioning from Big Data to Big Insights; 2.5 Describing Big Data Analytics (BDA); 2.6 The Big Trends and Use Cases of Big Data Analytics; 2.6.1 Customer Satisfaction Analysis; 2.6.2 Market Sentiment Analysis.
- 2.6.3 Epidemic Analysis2.6.4 Using Big Data Analytics in Healthcare; 2.6.5 Analytics of Machine Data by Splunk; 2.7 The Open Data for Next-Generation Cities; 2.8 The Big Data Analytics (BDA) Platforms; 2.8.1 Civitas: The Smart City Middleware; 2.8.2 Hitachi Smart City Platform; 2.8.3 Data Collection; 2.8.4 Data Analysis; 2.8.5 Application Coordination; 2.9 Big Data Analytics Frameworks and Infrastructure; 2.9.1 Apache Hadoop Software Framework; 2.9.2 NoSQL Databases; 2.10 Summary; Final Thoughts; Questions; References; Chapter 3 Multi-Scale Computing for a Sustainable Built Environment.
- 3.1 Introduction3.2 Modeling and Computing for Sustainability Transitions; 3.2.1 Multilevel Perspective Modeling; 3.2.2 Technological and Social Learning; 3.2.3 Multidisciplinary System Thinking; 3.2.4 Long-Term Thinking for the Built Environment; 3.2.5 Data and Modeling Techniques; 3.3 Multi-Scale Modeling and Computing for the Built Environment; 3.3.1 Virtual Prototyping for Design Optimization; 3.3.2 Performance Optimization Across Building Life Cycle Phases; 3.4 Research in Modeling and Computing for the Built Environment; 3.4.1 Building Energy Balance Analysis.
- 3.4.2 Forward/Inverse Modeling and Visualization Techniques3.4.3 Workflows and Integration of Modeling Strategies; 3.4.4 Research Advances in Modeling and Computing; Final Thoughts; Questions; References; Chapter 4 Autonomous Radios and Open Spectrum in Smart Cities; 4.1 Introduction; 4.2 Candidate Wireless Technologies; 4.2.1 Open Spectrum; 4.2.2 5G Wireless Technologies; 4.2.3 Internet of Things (IoT); 4.3 PHY and MAC Layer Issues in Cognitive Radio Networks; 4.3.1 Spectrum Sensing; 4.3.1.1 Detection Methods; 4.3.1.2 Cooperative Spectrum Sensing; 4.3.1.3 Other Sensing Issues.
