Smart Cities A Data Analytics Perspective

Smart Cities  A Data Analytics Perspective
Author: Mohammad Ayoub Khan,Fahad Algarni,Mohammad Tabrez Quasim
Publsiher: Springer Nature
Total Pages: 322
Release: 2020-12-11
Genre: Technology & Engineering
ISBN: 9783030609221

Download Smart Cities A Data Analytics Perspective Book in PDF, Epub and Kindle

This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart city is an advanced technological area that is capable of understanding the environment by examining the data to improve the livability. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data. The smart city has a focus on data analytics facilitated through the IoT platforms. There is a need to customize the IoT architecture and infrastructures to address needs in application of specific domains of smart cities such as transportation, traffic, health and, environment. The smart cities will provide next generation development technologies for urbanization that includes the need of environmental sustainability, personalization, mobility, optimum energy utilization, better administrative services and higher quality of life. Each chapter presents the reader with an in-depth investigation regarding the possibility of data analytics perspective in smart cities. The book presents cutting-edge and future perspectives of smart cities, where industry experts, scientists, and scholars exchange ideas and experience about surrounding frontier technologies, breakthrough and innovative solutions and applications.

Smart Grids and Big Data Analytics for Smart Cities

Smart Grids and Big Data Analytics for Smart Cities
Author: Chun Sing Lai,Loi Lei Lai,Qi Hong Lai
Publsiher: Springer Nature
Total Pages: 403
Release: 2020-10-31
Genre: Technology & Engineering
ISBN: 9783030521554

Download Smart Grids and Big Data Analytics for Smart Cities Book in PDF, Epub and Kindle

This book provides a comprehensive introduction to different elements of smart city infrastructure - smart energy, smart water, smart health, and smart transportation - and how they work independently and together. Theoretical development and practical applications are presented, along with related standards, recommended practices, and professional guidelines. Throughout the book, diagrams and case studies are provided that demonstrate the systems presented, and extensive use of scenarios helps readers better grasp how smart grids, the Internet of Things, big data analytics, and trading models can improve road safety, healthcare, smart water management, and a low-carbon economy. A must-read for practicing engineers, consultants, regulators, utility operators, and environmentalists involved in smart city development, the book will also appeal to city planners and designers, as well as upper-level undergraduate and graduate students studying energy, environmental science, technology, economics, signal processing, information science, and power engineering.

Big Data Analytics for Smart and Connected Cities

Big Data Analytics for Smart and Connected Cities
Author: Dey, Nilanjan,Tamane, Sharvari
Publsiher: IGI Global
Total Pages: 348
Release: 2018-09-07
Genre: Technology & Engineering
ISBN: 9781522562085

Download Big Data Analytics for Smart and Connected Cities Book in PDF, Epub and Kindle

To continue providing people with safe, comfortable, and affordable places to live, cities must incorporate techniques and technologies to bring them into the future. The integration of big data and interconnected technology, along with the increasing population, will lead to the necessary creation of smart cities. Big Data Analytics for Smart and Connected Cities is a pivotal reference source that provides vital research on the application of the integration of interconnected technologies and big data analytics into the creation of smart cities. While highlighting topics such as energy conservation, public transit planning, and performance measurement, this publication explores technology integration in urban environments as well as the methods of planning cities to implement these new technologies. This book is ideally designed for engineers, professionals, researchers, and technology developers seeking current research on technology implementation in urban settings.

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
Author: Uttam Ghosh,Yassine Maleh,Mamoun Alazab,Al-Sakib Khan Pathan
Publsiher: Springer Nature
Total Pages: 411
Release: 2021-05-31
Genre: Technology & Engineering
ISBN: 9783030720650

Download Machine Intelligence and Data Analytics for Sustainable Future Smart Cities Book in PDF, Epub and Kindle

This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.

Data Analytics for Smart Cities

Data Analytics for Smart Cities
Author: Amir Alavi,William G. Buttlar
Publsiher: CRC Press
Total Pages: 240
Release: 2018-10-26
Genre: Computers
ISBN: 9780429786631

Download Data Analytics for Smart Cities Book in PDF, Epub and Kindle

The development of smart cities is one of the most important challenges over the next few decades. Governments and companies are leveraging billions of dollars in public and private funds for smart cities. Next generation smart cities are heavily dependent on distributed smart sensing systems and devices to monitor the urban infrastructure. The smart sensor networks serve as autonomous intelligent nodes to measure a variety of physical or environmental parameters. They should react in time, establish automated control, and collect information for intelligent decision-making. In this context, one of the major tasks is to develop advanced frameworks for the interpretation of the huge amount of information provided by the emerging testing and monitoring systems. Data Analytics for Smart Cities brings together some of the most exciting new developments in the area of integrating advanced data analytics systems into smart cities along with complementary technological paradigms such as cloud computing and Internet of Things (IoT). The book serves as a reference for researchers and engineers in domains of advanced computation, optimization, and data mining for smart civil infrastructure condition assessment, dynamic visualization, intelligent transportation systems (ITS), cyber-physical systems, and smart construction technologies. The chapters are presented in a hands-on manner to facilitate researchers in tackling applications. Arguably, data analytics technologies play a key role in tackling the challenge of creating smart cities. Data analytics applications involve collecting, integrating, and preparing time- and space-dependent data produced by sensors, complex engineered systems, and physical assets, followed by developing and testing analytical models to verify the accuracy of results. This book covers this multidisciplinary field and examines multiple paradigms such as machine learning, pattern recognition, statistics, intelligent databases, knowledge acquisition, data visualization, high performance computing, and expert systems. The book explores new territory by discussing the cutting-edge concept of Big Data analytics for interpreting massive amounts of data in smart city applications.

Smart Cities Big Data Prediction Methods and Applications

Smart Cities  Big Data Prediction Methods and Applications
Author: Hui Liu
Publsiher: Springer Nature
Total Pages: 314
Release: 2020-03-25
Genre: Computers
ISBN: 9789811528378

Download Smart Cities Big Data Prediction Methods and Applications Book in PDF, Epub and Kindle

Smart Cities: Big Data Prediction Methods and Applications is the first reference to provide a comprehensive overview of smart cities with the latest big data predicting techniques. This timely book discusses big data forecasting for smart cities. It introduces big data forecasting techniques for the key aspects (e.g., traffic, environment, building energy, green grid, etc.) of smart cities, and explores three key areas that can be improved using big data prediction: grid energy, road traffic networks and environmental health in smart cities. The big data prediction methods proposed in this book are highly significant in terms of the planning, construction, management, control and development of green and smart cities. Including numerous case studies to explain each method and model, this easy-to-understand book appeals to scientists, engineers, college students, postgraduates, teachers and managers from various fields of artificial intelligence, smart cities, smart grid, intelligent traffic systems, intelligent environments and big data computing.

Big Data Analytics and Intelligent Techniques for Smart Cities

Big Data Analytics and Intelligent Techniques for Smart Cities
Author: Kolla Bhanu Prakash
Publsiher: CRC Press
Total Pages: 272
Release: 2021
Genre: Technology & Engineering
ISBN: 1003187358

Download Big Data Analytics and Intelligent Techniques for Smart Cities Book in PDF, Epub and Kindle

Big Data Analytics and Intelligent Techniques for Smart Cities covers fundamentals, advanced concepts, and applications of big data analytics for smart cities in a single volume. This comprehensive reference text discusses big data theory modeling and simulation for smart cities and examines case studies in a single volume. The text discusses how to develop a smart city and state-of-the-art system design, system verification, real-time control and adaptation, Internet of Things, and testbeds. It 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. It will be useful as a reference text for graduate students in different areas including electrical engineering, computer science engineering, civil engineering, and electronics and communications engineering. Features: Technologies and algorithms associated with the application of big data for smart cities Discussions on big data theory modeling and simulation for smart cities Applications of smart cities as they relate to smart transportation and intelligent transportation systems (ITS) Discussions on concepts including smart education, smart culture, and smart transformation management for social and societal changes

AI and Analytics for Smart Cities and Service Systems

AI and Analytics for Smart Cities and Service Systems
Author: Robin Qiu,Kelly Lyons,Weiwei Chen
Publsiher: Springer Nature
Total Pages: 413
Release: 2021-11-11
Genre: Business & Economics
ISBN: 9783030902759

Download AI and Analytics for Smart Cities and Service Systems Book in PDF, Epub and Kindle

This book showcases state-of-the-art advances in service science and related fields of research, education, and practice. It presents emerging technologies and applications in contexts ranging from healthcare, energy, finance, and information technology to transportation, sports, logistics, and public services. Regardless of its size and service, every service organization is a service system. Due to the socio-technical nature of service systems, a systems approach must be adopted in order to design, develop and deliver services aimed at meeting end users’ utilitarian and socio-psychological needs alike. Understanding services and service systems often requires combining multiple methods to consider how interactions between people, technologies, organizations and information create value under various conditions. The papers in this volume highlight a host of ways to approach these challenges in service science and are based on submissions to the 2021 INFORMS Conference on Service Science.