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In the era before IoT, the world wide web, internet, web 2.0 and social media made people's lives comfortable by providing web services and enabling access personal data irrespective of their location. Further, to save time and improve efficiency, there is a need for machine to machine communication, automation, smart computing and ubiquitous access to personal devices. This need gave birth to the phenomenon of Internet of Things (IoT) and further to the concept of Internet of Everything (IoE). This book aims to present different aspects of IoE, challenges faced by IoE and its applications, divided into 8 chapters. This multifaceted coverage of the various verticals and IoT layers is the main attraction of this book.
Internet of things. --- IoT (Computer networks) --- Things, Internet of --- Computer networks --- Embedded Internet devices --- Machine-to-machine communications
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This book presents some of the most advanced leading-edge technology for the fourth Industrial Revolution -- known as “Industry 4.0.” The book provides a comprehensive understanding of the interconnections of AI, IoT, big data and cloud computing as integral to the technologies that revolutionize the way companies produce and distribute products and the way local governments deliver their services. The book emphasizes that at every phase of the supply chain, manufactures are found to be interweaving AI, robotics, IoT, big data/machine learning, and cloud computing into their production facilities and throughout their distribution networks. Equally important, the authors show how their research can be applied to computer vision, cyber security, database and compiler theory, natural language processing, healthcare, education and agriculture. Presents the fundamentals of AI, IoT, and cloud computing and how they can be incorporated in Industry 4.0 applications Motivates readers to address challenges in the areas of speech communication and signal processing Provides numerous examples, case studies, technical descriptions, and approaches of AI/ML.
Computational intelligence. --- Telecommunication. --- Artificial intelligence. --- Computational Intelligence. --- Communications Engineering, Networks. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Intelligence, Computational --- Artificial intelligence --- Soft computing
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This book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the preventive mechanism enabled by predictive approach and condition-based smart maintenance. The intelligent decision support, earlier detection of spare part failure, fatigue detection is the main slices of intelligent and predictive maintenance system (PMS) leading towards Maintenance 4.0 This book presents prominent use cases of mechanical engineering using PMS along with the benefits. Basic understanding of data preparation is required for development of any AI application; in view of this, the types of the data and data preparation processes, and tools are also presented in this book.
Industry 4.0. --- Maintenance. --- Mechanical engineering. --- Predictive analytics. --- Fourth industrial revolution --- Industrial engineering --- Industrial revolution --- Analytics, Predictive --- Quantitative research --- Engineering, Mechanical --- Engineering --- Machinery --- Steam engineering --- Preventive maintenance --- Upkeep --- Maintainability (Engineering) --- Repairing --- Service life (Engineering) --- Computational intelligence. --- Quantitative research. --- Internet of things. --- Computational Intelligence. --- Data Analysis and Big Data. --- Mechanical Engineering. --- Internet of Things. --- IoT (Computer networks) --- Things, Internet of --- Computer networks --- Embedded Internet devices --- Machine-to-machine communications --- Data analysis (Quantitative research) --- Exploratory data analysis (Quantitative research) --- Quantitative analysis (Research) --- Quantitative methods (Research) --- Research --- Intelligence, Computational --- Artificial intelligence --- Soft computing
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This book presents some of the most advanced leading-edge technology for the fourth Industrial Revolution -- known as "Industry 4.0." The book provides a comprehensive understanding of the interconnections of AI, IoT, big data and cloud computing as integral to the technologies that revolutionize the way companies produce and distribute products and the way local governments deliver their services. The book emphasizes that at every phase of the supply chain, manufactures are found to be interweaving AI, robotics, IoT, big data/machine learning, and cloud computing into their production facilities and throughout their distribution networks. Equally important, the authors show how their research can be applied to computer vision, cyber security, database and compiler theory, natural language processing, healthcare, education and agriculture. Presents the fundamentals of AI, IoT, and cloud computing and how they can be incorporated in Industry 4.0 applications Motivates readers to address challenges in the areas of speech communication and signal processing Provides numerous examples, case studies, technical descriptions, and approaches of AI/ML.
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This book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the preventive mechanism enabled by predictive approach and condition-based smart maintenance. The intelligent decision support, earlier detection of spare part failure, fatigue detection is the main slices of intelligent and predictive maintenance system (PMS) leading towards Maintenance 4.0 This book presents prominent use cases of mechanical engineering using PMS along with the benefits. Basic understanding of data preparation is required for development of any AI application; in view of this, the types of the data and data preparation processes, and tools are also presented in this book.
Engineering sciences. Technology --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- IoT (Internet of Things) --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- AI (artificiële intelligentie)
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"This book focuses on various authorization and access control techniques, threats and attack modelling including overview of open Authorization 2.0 (Oauth2.0) framework along with User managed access (UMA) and security analysis. Important key concepts are discussed on how to provide login credentials with restricted access to third parties with primary account as a resource server. Detailed protocol overview and authorization process along with security analysis of Oauth 2.0 is discussed in this book. This book also includes case studies of websites for vulnerability issues. Features : provides overview of security challenges of IoT and mitigation techniques with a focus on authorization and access control mechanisms, discusses behavioral analysis of threats and attacks using UML base modelling, covers use of Oauth2.0 Protocol and UMA for connecting web applications, includes Role Based Access Control (RBAC), Discretionary Access Control (DAC), Mandatory Access Control (MAC), and Permission Based Access Control (PBAC). and explores how to provide access to third party web applications through resource server by use of secured and reliable Oauth2.0 framework. This book aims at researchers and professionals in IT Security, Auditing, and Computer Engineering"--
Computer networks --- Internet of things --- Security measures.
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This volume showcases upcoming trends and applications that are set to redefine our technological landscape. Chapters comprise referenced reviews focused on the recent research that introduces new methods and techniques for using AI in Industry 4.0, and the integration of Internet of Things (IoT) to drive new industrial processes. The contributors have discussed challenges in industry 4.0 along with the applications and the way it is shaping different industries. Key themes: AI in Communication Media: Uncover the latest research, with insights into the challenges and adoption of AI in remote processes. New AI Techniques for Industry 4.0: Learn about technologies such as blockchains and applications of machine learning, deep learning, and image processing. IoT and AI for Smart Systems: Understand IoT with a special focus on enhancing smart systems, in different industries, including agriculture and transaction processing Explorable AI: Gain a quick understanding of Explainable AI (XAI) and its role in improving the predictability and transparency of IoT applications. Whether you're a tech enthusiast, researcher, or industry professional, this book offers a glimpse into the innovative world of Industry 4.0 and its intersection with AI, IoT, big data, and cloud computing.
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This book presents cognitive modeling along with the new paradigm machine thinking to enhance existing AI power and address its current limitations. This book provides overview of natural and artificial intelligence along with the computing models used currently. The need of advancing the current models is presented with suitable examples. The business case studies presented in different domains provide possible use of augmented intelligence with the proposed machine thinking paradigm. This book is targeted at academicians, researchers, students, professionals who belong to disciplines which involves intelligent computing and modelling human thinking. It provides possible multidisciplinary research directions including social psychology, artificial intelligence, HCI, cognition for applications in various domains.
Artificial intelligence. --- Soft computing. --- Computational intelligence. --- Machine learning. --- Computational Intelligence. --- Artificial Intelligence. --- Machine Learning.
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This book explores the need for a data-centric AI approach and its application in the multidisciplinary domain, compared to a model-centric approach.
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