Big Data For A Sustainable Smart City

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Big Data Science and Analytics for Smart Sustainable Urbanism

Author : Simon Elias Bibri
Publisher : Springer
Page : 337 pages
File Size : 53,8 Mb
Release : 2020-07-03
Category : Political Science
ISBN : 3030173143

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Big Data Science and Analytics for Smart Sustainable Urbanism by Simon Elias Bibri Pdf

We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.

Smart Cities

Author : Negin Minaei
Publisher : CRC Press
Page : 166 pages
File Size : 52,5 Mb
Release : 2022-03-22
Category : Nature
ISBN : 9781000552058

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Smart Cities by Negin Minaei Pdf

In the age of global climate change, society will require cities that are environmentally self-sufficient, able to withstand various environmental problems and recover quickly. It is interesting to note that many "smart" solutions for cities are leading to an unsustainable future, including further electrification, an increased dependence on the Internet, Internet of Things, Big Data, and Artificial Intelligence, and basically any technology that leads us to consume more electricity. This book examines critical topics in Smart Cities such as true sustainability and the resilience required for all cities. It explores sustainability issues in agriculture and the role of agri-technology for a sustainable future, including a city’s ability to locally produce food for its residents. Features: Discusses safety, security, data management, and privacy issues in Smart Cities Examines the various emerging forms of transportation infrastructure and new vehicle technology Considers how energy efficiency can be achieved through behavioral change through specific building operations Smart Cities: Critical Debates on Big Data, Urban Development and Social Environmental Sustainability brings awareness to professionals working in the fields of environmental, civil, and transportation engineering, urban planners, and political leaders about different environmental aspects of Smart Cities and refocuses attention on critical urban infrastructure that will be necessary to respond to future challenges including climate change, food insecurity, natural hazards, energy production, and resilience.

Smart Cities: A Data Analytics Perspective

Author : Mohammad Ayoub Khan,Fahad Algarni,Mohammad Tabrez Quasim
Publisher : Springer Nature
Page : 322 pages
File Size : 40,7 Mb
Release : 2020-12-11
Category : Technology & Engineering
ISBN : 9783030609221

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Smart Cities: A Data Analytics Perspective by Mohammad Ayoub Khan,Fahad Algarni,Mohammad Tabrez Quasim Pdf

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.

Big Data for a Sustainable Smart City

Author : Dr. Rehana Kassim
Publisher : Partridge Publishing Singapore
Page : 101 pages
File Size : 45,7 Mb
Release : 2021-09-28
Category : Business & Economics
ISBN : 9781543766851

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Big Data for a Sustainable Smart City by Dr. Rehana Kassim Pdf

This book, Big Data for a Sustainable Smart City, is an overview of the role of big data in the sustainability of a smart city. The book looks at the future trends and challenges in the use of big data, with discussions on big data and its implementation contextually elaborated, touching on several subdomains of smart city, such as smart infrastructure, smart healthcare, and smart grid. As distributed ledger technology and blockchain have increasingly become part and parcel of big data, with potential role as alternative currency and authenticity instrument, the book also included discussions on distributed ledger technology. Highlights on social technology fusion as mooted by the concept of Society 5.0 is discussed as a continuation of technocentric IR 4.0 growth. The book concludes with hope and concern that society will be facing in tandem with its adoption.

Big Data Science and Analytics for Smart Sustainable Urbanism

Author : Simon Elias Bibri
Publisher : Springer
Page : 337 pages
File Size : 41,9 Mb
Release : 2019-05-30
Category : Political Science
ISBN : 9783030173128

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Big Data Science and Analytics for Smart Sustainable Urbanism by Simon Elias Bibri Pdf

We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.

Smart Sustainable Cities of the Future

Author : Simon Elias Bibri
Publisher : Springer
Page : 660 pages
File Size : 53,5 Mb
Release : 2018-02-24
Category : Political Science
ISBN : 9783319739816

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Smart Sustainable Cities of the Future by Simon Elias Bibri Pdf

This book is intended to help explore the field of smart sustainable cities in its complexity, heterogeneity, and breadth, the many faces of a topical subject of major importance for the future that encompasses so much of modern urban life in an increasingly computerized and urbanized world. Indeed, sustainable urban development is currently at the center of debate in light of several ICT visions becoming achievable and deployable computing paradigms, and shaping the way cities will evolve in the future and thus tackle complex challenges. This book integrates computer science, data science, complexity science, sustainability science, system thinking, and urban planning and design. As such, it contains innovative computer–based and data–analytic research on smart sustainable cities as complex and dynamic systems. It provides applied theoretical contributions fostering a better understanding of such systems and the synergistic relationships between the underlying physical and informational landscapes. It offers contributions pertaining to the ongoing development of computer–based and data science technologies for the processing, analysis, management, modeling, and simulation of big and context data and the associated applicability to urban systems that will advance different aspects of sustainability. This book seeks to explicitly bring together the smart city and sustainable city endeavors, and to focus on big data analytics and context-aware computing specifically. In doing so, it amalgamates the design concepts and planning principles of sustainable urban forms with the novel applications of ICT of ubiquitous computing to primarily advance sustainability. Its strength lies in combining big data and context–aware technologies and their novel applications for the sheer purpose of harnessing and leveraging the disruptive and synergetic effects of ICT on forms of city planning that are required for future forms of sustainable development. This is because the effects of such technologies reinforce one another as to their efforts for transforming urban life in a sustainable way by integrating data–centric and context–aware solutions for enhancing urban systems and facilitating coordination among urban domains. This timely and comprehensive book is aimed at a wide audience across science, academia industry, and policymaking. It provides the necessary material to inform relevant research communities of the state–of–the–art research and the latest development in the area of smart sustainable urban development, as well as a valuable reference for planners, designers, strategists, and ICT experts who are working towards the development and implementation of smart sustainable cities based on big data analytics and context–aware computing.

Big Data Analytics for Smart Urban Systems

Author : Saeid Pourroostaei Ardakani,Ali Cheshmehzangi
Publisher : Springer Nature
Page : 143 pages
File Size : 49,9 Mb
Release : 2023-10-29
Category : Science
ISBN : 9789819955435

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Big Data Analytics for Smart Urban Systems by Saeid Pourroostaei Ardakani,Ali Cheshmehzangi Pdf

Big Data Analytics for Smart Urban Systems aims to introduce Big data solutions for urban sustainability smart applications, particularly for smart urban systems. It focuses on intelligent big data which takes the benefits of machine learning to analyse large and rapidly changing datasets in smart urban systems. The state-of-the-art Big data analytics applications are presented and discussed to highlight the feasibility of big data and machine learning solutions to enhance smart urban systems, smart operations, urban management, and urban governance. The key benefits of this book are, (1) to introduce the principles of machine learning-enabled big data analysis in smart urban systems, (2) to present the state-of-the-art data analysis solutions in smart management and operations, and (3) to understand the principles of big data analytics for smart cities and communities. Endorsements ‘Over the many years of collaboration between academia and industry, we noticed the common language is ‘big data’; with that, we have developed novel ideas to bridge the gaps and help promote innovation, technologies, and science’.- Tian Tang, Independent Researcher, China ‘Big Data Analytics is a fascinating research area, particularly for cities and city transformations. This book is valuable to those who think vigorously and aim to act ahead’.- Li Xie, Independent Researcher, China ‘For urban critiques, knowledge trains aspiring opportunities toward outstanding manifestations. Smartness has evolved or/ advanced rambunctious & embracing realities along (with) novel directions and nurturing integrated city knowledge’.- Aaron Golden, SELECT Consultants, UK

Big Data for a Sustainable Smart City

Author : Dr Rehana Kassim
Publisher : Partridge Publishing Singapore
Page : 114 pages
File Size : 42,7 Mb
Release : 2021-09-28
Category : Electronic
ISBN : 1543766862

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Big Data for a Sustainable Smart City by Dr Rehana Kassim Pdf

This book, Big Data for a Sustainable Smart City, is an overview of the role of big data in the sustainability of a smart city. The book looks at the future trends and challenges in the use of big data, with discussions on big data and its implementation contextually elaborated, touching on several subdomains of smart city, such as smart infrastructure, smart healthcare, and smart grid. As distributed ledger technology and blockchain have increasingly become part and parcel of big data, with potential role as alternative currency and authenticity instrument, the book also included discussions on distributed ledger technology. Highlights on social technology fusion as mooted by the concept of Society 5.0 is discussed as a continuation of technocentric IR 4.0 growth. The book concludes with hope and concern that society will be facing in tandem with its adoption.

Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

Author : Nilanjan Dey,Aboul Ella Hassanien,Chintan Bhatt,Amira S. Ashour,Suresh Chandra Satapathy
Publisher : Springer
Page : 549 pages
File Size : 42,5 Mb
Release : 2017-08-14
Category : Technology & Engineering
ISBN : 9783319604350

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Internet of Things and Big Data Analytics Toward Next-Generation Intelligence by Nilanjan Dey,Aboul Ella Hassanien,Chintan Bhatt,Amira S. Ashour,Suresh Chandra Satapathy Pdf

This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.

Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

Author : Uttam Ghosh,Yassine Maleh,Mamoun Alazab,Al-Sakib Khan Pathan
Publisher : Springer Nature
Page : 411 pages
File Size : 55,8 Mb
Release : 2021-05-31
Category : Technology & Engineering
ISBN : 9783030720650

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Machine Intelligence and Data Analytics for Sustainable Future Smart Cities by Uttam Ghosh,Yassine Maleh,Mamoun Alazab,Al-Sakib Khan Pathan Pdf

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.

Green Computing for Sustainable Smart Cities

Author : Neha Sharma,Jai Prakash Verma,Sunil Gautam,Valentina Emilia Balas,Saravanan Krishnan
Publisher : CRC Press
Page : 386 pages
File Size : 54,9 Mb
Release : 2024-03-29
Category : Technology & Engineering
ISBN : 9781003856269

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Green Computing for Sustainable Smart Cities by Neha Sharma,Jai Prakash Verma,Sunil Gautam,Valentina Emilia Balas,Saravanan Krishnan Pdf

Information and communication technology and the Internet of Things play key roles in smart city projects. It is challenging to handle the large amount of data generated by the different processes related to land use, the environment, the social and economic milieu, energy consumption, and transportation. This book emphasizes that green computing-based infrastructure initiatives benefit not only the environment but the enterprise as well. Green Computing for Sustainable Smart Cities: A Data Analytics Applications Perspective covers the need for smart green computing from various engineering disciplines and offers diversified applications for such computing with cases studies. The book highlights the sustainable development of smart cities using recent technology and emphasizes advances and cutting-edge techniques throughout. Focused on the different tools, platforms, and techniques associated with smart green computing, this book presents multiple perspectives from academia, industry, and research fields. The primary audience for this book includes academics, researchers, graduate students, smart city industry practitioners, and city administrators who are engaged in smart cities and related technology.

Big Data Analytics for Smart and Connected Cities

Author : Dey, Nilanjan,Tamane, Sharvari
Publisher : IGI Global
Page : 348 pages
File Size : 46,8 Mb
Release : 2018-09-07
Category : Technology & Engineering
ISBN : 9781522562085

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Big Data Analytics for Smart and Connected Cities by Dey, Nilanjan,Tamane, Sharvari Pdf

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.

Data Analytics for Smart Cities

Author : Amir H. Alavi,William G. Buttlar
Publisher : Auerbach Publications
Page : 0 pages
File Size : 51,6 Mb
Release : 2023-01-09
Category : Big data
ISBN : 103247596X

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Data Analytics for Smart Cities by Amir H. Alavi,William G. Buttlar Pdf

This book is a reference for researchers and engineers in domains of advanced computation, optimization and data mining for smart cities and cyber-physical systems. It is also particularly suitable to advanced students who wish to use relevant book chapters as a basis to pursue further research in these areas.

Smart Grids and Big Data Analytics for Smart Cities

Author : Chun Sing Lai,Loi Lei Lai,Qi Hong Lai
Publisher : Springer Nature
Page : 403 pages
File Size : 50,6 Mb
Release : 2020-10-31
Category : Technology & Engineering
ISBN : 9783030521554

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Smart Grids and Big Data Analytics for Smart Cities by Chun Sing Lai,Loi Lei Lai,Qi Hong Lai Pdf

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.

Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Cities

Author : Butun, Ismail
Publisher : IGI Global
Page : 285 pages
File Size : 40,6 Mb
Release : 2021-06-25
Category : Computers
ISBN : 9781799874706

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Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Cities by Butun, Ismail Pdf

Internet of things (IoT) is an emerging research field that is rapidly becoming an important part of our everyday lives including home automation, smart buildings, smart things, and more. This is due to cheap, efficient, and wirelessly-enabled circuit boards that are enabling the functions of remote sensing/actuating, decentralization, autonomy, and other essential functions. Moreover, with the advancements in embedded artificial intelligence, these devices are becoming more self-aware and autonomous, hence making decisions themselves. Current research is devoted to the understanding of how decision support systems are integrated into industrial IoT. Decision Support Systems and Industrial IoT in Smart Grid, Factories, and Cities presents the internet of things and its place during the technological revolution, which is taking place now to bring us a better, sustainable, automated, and safer world. This book also covers the challenges being faced such as relations and implications of IoT with existing communication and networking technologies; applications like practical use-case scenarios from the real world including smart cities, buildings, and grids; and topics such as cyber security, user privacy, data ownership, and information handling related to IoT networks. Additionally, this book focuses on the future applications, trends, and potential benefits of this new discipline. This book is essential for electrical engineers, computer engineers, researchers in IoT, security, and smart cities, along with practitioners, researchers, academicians, and students interested in all aspects of industrial IoT and its applications.