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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Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Author: Song, Houbing
Other Authors: Bregni, Stefano S., Srinivasan, Ravi, Sookoor, Tamim, Jeschke, Sabina
Format: Electronic eBook
Language:English
Published: Somerset : John Wiley & Sons, Incorporated, 2017
Subjects:
Local Note:ProQuest Ebook Central

MARC

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245 1 0 |a Smart Cities :  |b Foundations and Principles. 
260 |a Somerset :  |b John Wiley & Sons, Incorporated,  |c 2017. 
300 |a 1 online resource (910 pages) 
336 |a text  |b txt  |2 rdacontent 
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500 |a 4.3.2 Spectrum Management and Handoff. 
505 0 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
505 8 |a 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. 
520 |a 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, energy efficiency, and transportation, to promote the sustainable development of cities. This book provides the basics of smart cities, and it examines the possible future trends of this technology. Smart Cities: Foundations, Principles, and Applications provides a systems science perspective in presenting the foundations and principles that span multiple disciplines for the development of smart cities. Divided into three parts - foundations, principles, and applications - Smart Cities addresses the various challenges and opportunities of creating smart cities and all that they have to offer. It also covers smart city theory modeling and simulation, and examines case studies of existing smart cities from all around the world. In addition, the book: . Addresses how to develop a smart city and how to present the state of the art and practice of them all over the world. Focuses on the foundations and principles needed for advancing the science, engineering, and technology of smart cities - including system design, system verification, real-time control and adaptation, Internet of Things, and test beds. Covers applications of smart cities as they relate to smart transportation/connected vehicle (CV) and Intelligent Transportation Systems (ITS) for improved mobility, safety, and environmental protection Smart Cities: Foundations, Principles, and Applications is a welcome reference for the many researchers and professionals working on the development of smart cities and smart city-related industries. 
588 0 |a Print version record. 
590 |a ProQuest Ebook Central  |b Ebook Central College Complete 
650 0 |a Cities and towns  |x Technological innovations. 
650 0 |a City planning  |x Technological innovations. 
650 0 |a Sustainable development. 
650 0 |a Urban ecology (Sociology) 
650 0 |a Telematics. 
650 0 |a Urban ecology (Biology) 
650 7 |a sustainable development.  |2 aat 
650 7 |a urban environments.  |2 aat 
700 1 |a Bregni, Stefano S. 
700 1 |a Srinivasan, Ravi. 
700 1 |a Sookoor, Tamim. 
700 1 |a Jeschke, Sabina. 
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