Coverart for item
The Resource Guide to Ambient Intelligence in the IoT Environment : Principles, Technologies and Applications, (electronic book)

Guide to Ambient Intelligence in the IoT Environment : Principles, Technologies and Applications, (electronic book)

Label
Guide to Ambient Intelligence in the IoT Environment : Principles, Technologies and Applications
Title
Guide to Ambient Intelligence in the IoT Environment
Title remainder
Principles, Technologies and Applications
Creator
Subject
Language
eng
Member of
Cataloging source
EBLCP
http://library.link/vocab/creatorName
Mahmood, Zaigham
Dewey number
004.01/9
Index
no index present
LC call number
TK5105.5-5105.9QA76
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Computer Communications and Networks Ser
http://library.link/vocab/subjectName
  • Ambient intelligence
  • Internet of things
Label
Guide to Ambient Intelligence in the IoT Environment : Principles, Technologies and Applications, (electronic book)
Instantiates
Publication
Note
  • Description based upon print version of record
  • 4.4 Modeling the Smart Stadium System
Contents
  • Intro; Preface; Overview; Objectives; Organization; Target Audiences; Acknowledgements; Other Springer Books by Zaigham Mahmood; Fog Computing: Concepts, Frameworks and Technologies; Smart Cities: Development and Governance Frameworks; Data Science and Big Data Computing: Frameworks and Methodologies; Connected Environments for the Internet of Things: Challenges and Solutions; Connectivity Frameworks for Smart Devices: The Internet of Things from a Distributed Computing Perspective; Cloud Computing: Methods and Practical Approaches; Cloud Computing: Challenges, Limitations and R&D Solutions
  • Continued Rise of the Cloud: Advances and Trends in Cloud ComputingSoftware Engineering Frameworks for the Cloud Computing Paradigm; Cloud Computing for Enterprise Architectures; Software Project Management for Distributed Computing: Life-Cycle Methods for Developing Scalable and Reliable Tools; Requirements Engineering for Service and Cloud Computing; User Centric E-Government: Challenges and Opportunities; Contents; Contributors; About the Editor; Principles and Technologies; 1 Ambient Intelligence in Smart City Environments: Topologies and Information Architectures; 1.1 Introduction
  • 1.2 Ambient Intelligence1.3 Ambient Intelligence and Smart Cities; 1.4 Trends in Ambient Intelligence; 1.5 Context Awareness and Ambient Intelligence; 1.6 AmI Topologies and Information Architectures; 1.7 Issues in Smart Network Design; 1.8 Conclusion; References; 2 The State and Future of Ambient Intelligence in Industrial IoT Environments; 2.1 Introduction; 2.2 Sensing Technologies and Data Fusion in Industrial AmI; 2.3 Industrial KB Systems and Computational Intelligence; 2.3.1 Fit-for-Purpose Algorithms; 2.3.2 Context Awareness; 2.3.3 Adaptive and Anticipatory Functions
  • 2.4 AmI Architecture and IoT in Industrial Environments2.5 Industrial Applications of AmI; 2.5.1 Smart Mining; 2.5.2 Intelligent Manufacturing; 2.5.3 Smart Construction; 2.6 Roadmap for AmI in IIoT Environments; 2.7 Conclusion; References; 3 Ambient Intelligence in Business Environments and Internet of Things Transformation Guidelines; 3.1 Introduction; 3.2 Ambient Intelligence in the Business Environment; 3.2.1 Ambient Intelligence; 3.2.2 Improving Business with Ambient Intelligence; 3.2.3 Current Implementations of AmI; 3.2.4 Future Opportunities for Businesses
  • 3.3 IoT Technology Transformation Issues3.3.1 Management Issues; 3.3.2 Technical Issues; 3.3.3 Social Issues; 3.4 IoT Technology Transformation Guidelines; 3.5 Conclusion; References; 4 Runtime Adaptability of Ambient Intelligence Systems Based on Component-Oriented Approach; 4.1 Introduction; 4.2 Background; 4.2.1 Ambient Intelligence; 4.2.2 Component-Oriented Software Engineering; 4.2.3 Runtime Adaptability of Software Systems; 4.2.4 Ontology-Based Systems; 4.3 Case Study and Problem Description; 4.3.1 Case Study: A Density-Aware Density-Adaptive AmI Network; 4.3.2 Problem Description
Dimensions
unknown
Extent
1 online resource (307 p.).
Form of item
online
Isbn
9783030041724
Specific material designation
remote
System control number
  • on1082216445
  • (OCoLC)1082216445
Label
Guide to Ambient Intelligence in the IoT Environment : Principles, Technologies and Applications, (electronic book)
Publication
Note
  • Description based upon print version of record
  • 4.4 Modeling the Smart Stadium System
Contents
  • Intro; Preface; Overview; Objectives; Organization; Target Audiences; Acknowledgements; Other Springer Books by Zaigham Mahmood; Fog Computing: Concepts, Frameworks and Technologies; Smart Cities: Development and Governance Frameworks; Data Science and Big Data Computing: Frameworks and Methodologies; Connected Environments for the Internet of Things: Challenges and Solutions; Connectivity Frameworks for Smart Devices: The Internet of Things from a Distributed Computing Perspective; Cloud Computing: Methods and Practical Approaches; Cloud Computing: Challenges, Limitations and R&D Solutions
  • Continued Rise of the Cloud: Advances and Trends in Cloud ComputingSoftware Engineering Frameworks for the Cloud Computing Paradigm; Cloud Computing for Enterprise Architectures; Software Project Management for Distributed Computing: Life-Cycle Methods for Developing Scalable and Reliable Tools; Requirements Engineering for Service and Cloud Computing; User Centric E-Government: Challenges and Opportunities; Contents; Contributors; About the Editor; Principles and Technologies; 1 Ambient Intelligence in Smart City Environments: Topologies and Information Architectures; 1.1 Introduction
  • 1.2 Ambient Intelligence1.3 Ambient Intelligence and Smart Cities; 1.4 Trends in Ambient Intelligence; 1.5 Context Awareness and Ambient Intelligence; 1.6 AmI Topologies and Information Architectures; 1.7 Issues in Smart Network Design; 1.8 Conclusion; References; 2 The State and Future of Ambient Intelligence in Industrial IoT Environments; 2.1 Introduction; 2.2 Sensing Technologies and Data Fusion in Industrial AmI; 2.3 Industrial KB Systems and Computational Intelligence; 2.3.1 Fit-for-Purpose Algorithms; 2.3.2 Context Awareness; 2.3.3 Adaptive and Anticipatory Functions
  • 2.4 AmI Architecture and IoT in Industrial Environments2.5 Industrial Applications of AmI; 2.5.1 Smart Mining; 2.5.2 Intelligent Manufacturing; 2.5.3 Smart Construction; 2.6 Roadmap for AmI in IIoT Environments; 2.7 Conclusion; References; 3 Ambient Intelligence in Business Environments and Internet of Things Transformation Guidelines; 3.1 Introduction; 3.2 Ambient Intelligence in the Business Environment; 3.2.1 Ambient Intelligence; 3.2.2 Improving Business with Ambient Intelligence; 3.2.3 Current Implementations of AmI; 3.2.4 Future Opportunities for Businesses
  • 3.3 IoT Technology Transformation Issues3.3.1 Management Issues; 3.3.2 Technical Issues; 3.3.3 Social Issues; 3.4 IoT Technology Transformation Guidelines; 3.5 Conclusion; References; 4 Runtime Adaptability of Ambient Intelligence Systems Based on Component-Oriented Approach; 4.1 Introduction; 4.2 Background; 4.2.1 Ambient Intelligence; 4.2.2 Component-Oriented Software Engineering; 4.2.3 Runtime Adaptability of Software Systems; 4.2.4 Ontology-Based Systems; 4.3 Case Study and Problem Description; 4.3.1 Case Study: A Density-Aware Density-Adaptive AmI Network; 4.3.2 Problem Description
Dimensions
unknown
Extent
1 online resource (307 p.).
Form of item
online
Isbn
9783030041724
Specific material designation
remote
System control number
  • on1082216445
  • (OCoLC)1082216445

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