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The Internet of Things (IoT) concept is defined as a flexible and
futuristic network where all the different types of devices and
smart objects can become seamlessly connected to each other and can
actively participate in all types of processes which are happening
around us. The grand objective of making physical, mechanical,
electrical, and electronic devices to use the deeper and extreme
connectivity and service-enablement techniques is to make them
intelligent in their deeds, decisions, and deals. Cognitive IoT is
the application of cognitive computing technologies to the data
which is generated by the connected devices of the IoT ecosystem.
Cognition means thinking; however, computers are not yet fully
capable of mimicking human like thought. However, the present-day
computer systems can perform some functions which are like the
capability of human beings to think. Cognitive Internet of Things:
Enabling Technologies, Platforms, and Use Cases explains the
concepts surrounding Cognitive IoT. It also looks at the use cases
and such supporting technologies as artificial intelligence and
machine learning that act as key enablers of Cognitive IoT
ecosystem. Different Cognitive IoT enabled platforms like IBM
Watson and other product specific use cases like Amazon Alexa are
covered in depth. Other highlights of the book include:
Demystifying the cognitive computing paradigm Delineating the key
capabilities of cognitive cloud environments Deep learning
algorithms for cognitive IoT solutions Natural language processing
(NLP) methods for cognitive IoT systems Designing a secure
infrastructure for cognitive IoT platforms and applications
As more and more devices become interconnected through the Internet
of Things (IoT), there is an even greater need for this book,which
explains the technology, the internetworking, and applications that
are making IoT an everyday reality. The book begins with a
discussion of IoT "ecosystems" and the technology that enables
them, which includes: Wireless Infrastructure and Service Discovery
Protocols Integration Technologies and Tools Application and
Analytics Enablement Platforms A chapter on next-generation cloud
infrastructure explains hosting IoT platforms and applications. A
chapter on data analytics throws light on IoT data collection,
storage, translation, real-time processing, mining, and analysis,
all of which can yield actionable insights from the data collected
by IoT applications. There is also a chapter on edge/fog computing.
The second half of the book presents various IoT ecosystem use
cases. One chapter discusses smart airports and highlights the role
of IoT integration. It explains how mobile devices, mobile
technology, wearables, RFID sensors, and beacons work together as
the core technologies of a smart airport. Integrating these
components into the airport ecosystem is examined in detail, and
use cases and real-life examples illustrate this IoT ecosystem in
operation. Another in-depth look is on envisioning smart healthcare
systems in a connected world. This chapter focuses on the
requirements, promising applications, and roles of cloud computing
and data analytics. The book also examines smart homes, smart
cities, and smart governments. The book concludes with a chapter on
IoT security and privacy. This chapter examines the emerging
security and privacy requirements of IoT environments. The security
issues and an assortment of surmounting techniques and best
practices are also discussed in this chapter.
The emergence of highly promising and potent technologies has
enabled the transition of ordinary objects into smart
artifacts-providing wider connectivity of digitized entities that
can facilitate the building of connected cities. This book provides
readers with a solid foundation on the latest technologies and
tools required to develop and enhance smart cities around the
world. The book begins by examining the rise of the cloud as the
fundamental technology for establishing and sustaining smart cities
and enterprises. Explaining the principal technologies and platform
solutions for implementing intelligent cities, the book details the
role of various technologies, standards, protocols, and tools in
establishing flexible homes and the buildings of the future.
Examines IT platforms and tools from various product vendors
Considers service-oriented architecture and event-driven
architecture for smart city applications Explains how to leverage
big data analytics for smart city enhancement and improved decision
making Includes case studies of intelligent cities, smart homes,
buildings, transports, healthcare systems, and airports The authors
explore the convergence of cloud computing and enterprise
architecture and present valuable information on next-generation
cloud computing. They also cover the various architectural types,
including enterprise-scale integration, security, management, and
governance. The book concludes by explaining the various security
requirements of intelligent cities as well as the threats and
vulnerabilities of the various components that form the basis of
the intelligent city framework, including cloud, big data, Internet
of Things, and mobile technologies.
The Internet of Things (IoT) concept is defined as a flexible and
futuristic network where all the different types of devices and
smart objects can become seamlessly connected to each other and can
actively participate in all types of processes which are happening
around us. The grand objective of making physical, mechanical,
electrical, and electronic devices to use the deeper and extreme
connectivity and service-enablement techniques is to make them
intelligent in their deeds, decisions, and deals. Cognitive IoT is
the application of cognitive computing technologies to the data
which is generated by the connected devices of the IoT ecosystem.
Cognition means thinking; however, computers are not yet fully
capable of mimicking human like thought. However, the present-day
computer systems can perform some functions which are like the
capability of human beings to think. Cognitive Internet of Things:
Enabling Technologies, Platforms, and Use Cases explains the
concepts surrounding Cognitive IoT. It also looks at the use cases
and such supporting technologies as artificial intelligence and
machine learning that act as key enablers of Cognitive IoT
ecosystem. Different Cognitive IoT enabled platforms like IBM
Watson and other product specific use cases like Amazon Alexa are
covered in depth. Other highlights of the book include:
Demystifying the cognitive computing paradigm Delineating the key
capabilities of cognitive cloud environments Deep learning
algorithms for cognitive IoT solutions Natural language processing
(NLP) methods for cognitive IoT systems Designing a secure
infrastructure for cognitive IoT platforms and applications
The emergence of highly promising and potent technologies has
enabled the transition of ordinary objects into smart
artifacts-providing wider connectivity of digitized entities that
can facilitate the building of connected cities. This book provides
readers with a solid foundation on the latest technologies and
tools required to develop and enhance smart cities around the
world. The book begins by examining the rise of the cloud as the
fundamental technology for establishing and sustaining smart cities
and enterprises. Explaining the principal technologies and platform
solutions for implementing intelligent cities, the book details the
role of various technologies, standards, protocols, and tools in
establishing flexible homes and the buildings of the future.
Examines IT platforms and tools from various product vendors
Considers service-oriented architecture and event-driven
architecture for smart city applications Explains how to leverage
big data analytics for smart city enhancement and improved decision
making Includes case studies of intelligent cities, smart homes,
buildings, transports, healthcare systems, and airports The authors
explore the convergence of cloud computing and enterprise
architecture and present valuable information on next-generation
cloud computing. They also cover the various architectural types,
including enterprise-scale integration, security, management, and
governance. The book concludes by explaining the various security
requirements of intelligent cities as well as the threats and
vulnerabilities of the various components that form the basis of
the intelligent city framework, including cloud, big data, Internet
of Things, and mobile technologies.
As more and more devices become interconnected through the Internet
of Things (IoT), there is an even greater need for this book,which
explains the technology, the internetworking, and applications that
are making IoT an everyday reality. The book begins with a
discussion of IoT "ecosystems" and the technology that enables
them, which includes: Wireless Infrastructure and Service Discovery
Protocols Integration Technologies and Tools Application and
Analytics Enablement Platforms A chapter on next-generation cloud
infrastructure explains hosting IoT platforms and applications. A
chapter on data analytics throws light on IoT data collection,
storage, translation, real-time processing, mining, and analysis,
all of which can yield actionable insights from the data collected
by IoT applications. There is also a chapter on edge/fog computing.
The second half of the book presents various IoT ecosystem use
cases. One chapter discusses smart airports and highlights the role
of IoT integration. It explains how mobile devices, mobile
technology, wearables, RFID sensors, and beacons work together as
the core technologies of a smart airport. Integrating these
components into the airport ecosystem is examined in detail, and
use cases and real-life examples illustrate this IoT ecosystem in
operation. Another in-depth look is on envisioning smart healthcare
systems in a connected world. This chapter focuses on the
requirements, promising applications, and roles of cloud computing
and data analytics. The book also examines smart homes, smart
cities, and smart governments. The book concludes with a chapter on
IoT security and privacy. This chapter examines the emerging
security and privacy requirements of IoT environments. The security
issues and an assortment of surmounting techniques and best
practices are also discussed in this chapter.
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