Integration and Implementation of the Internet of Things Through Cloud Computing

Integration and Implementation of the Internet of Things Through Cloud Computing PDF Author: Tomar, Pradeep
Publisher: IGI Global
ISBN: 1799869830
Category : Computers
Languages : en
Pages : 357

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Book Description
The internet of things (IoT) has drawn great attention from both academia and industry, since it offers a challenging notion of creating a world where all things around us are connected to the internet and communicate with each other with minimal human intervention. Another component for helping IoT to succeed is cloud computing. The combination of cloud computing and IoT will enable new monitoring services and powerful processing of sensory data streams. These applications, alongside implementation details and challenges, should also be explored for successful mainstream adoption. IoT is also fueled by the advancement of digital technologies, and the next generation era will be cloud-based IoT systems. Integration and Implementation of the Internet of Things Through Cloud Computing studies, analyzes, and presents cloud-based IoT-related technologies, protocols, and standards along with recent research and development in cloud-based IoT. It also presents recent emerging trends and technological advances of cloud-based IoT, innovative applications, and the challenges and implications for society. The chapters included take a strong look at the societal and social aspects of this technology along with its implementations and technological analyses. This book is intended for IT specialists, technologists, practitioners, researchers, academicians, and students who are interested in the next era of IoT through cloud computing.

Integration and Implementation of the Internet of Things Through Cloud Computing

Integration and Implementation of the Internet of Things Through Cloud Computing PDF Author: Tomar, Pradeep
Publisher: IGI Global
ISBN: 1799869830
Category : Computers
Languages : en
Pages : 357

Get Book Here

Book Description
The internet of things (IoT) has drawn great attention from both academia and industry, since it offers a challenging notion of creating a world where all things around us are connected to the internet and communicate with each other with minimal human intervention. Another component for helping IoT to succeed is cloud computing. The combination of cloud computing and IoT will enable new monitoring services and powerful processing of sensory data streams. These applications, alongside implementation details and challenges, should also be explored for successful mainstream adoption. IoT is also fueled by the advancement of digital technologies, and the next generation era will be cloud-based IoT systems. Integration and Implementation of the Internet of Things Through Cloud Computing studies, analyzes, and presents cloud-based IoT-related technologies, protocols, and standards along with recent research and development in cloud-based IoT. It also presents recent emerging trends and technological advances of cloud-based IoT, innovative applications, and the challenges and implications for society. The chapters included take a strong look at the societal and social aspects of this technology along with its implementations and technological analyses. This book is intended for IT specialists, technologists, practitioners, researchers, academicians, and students who are interested in the next era of IoT through cloud computing.

Database and Expert Systems Applications

Database and Expert Systems Applications PDF Author: Christine Strauss
Publisher: Springer Nature
ISBN: 3031124235
Category : Computers
Languages : en
Pages : 469

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Book Description
This two-volume set, LNCS 13426 and 13427, constitutes the thoroughly refereed proceedings of the 33rd International Conference on Database and Expert Systems Applications, DEXA 2022, held in Vienna in August 2022. The 43 full papers presented together with 20 short papers in these volumes were carefully reviewed and selected from a total of 120 submissions. The papers are organized around the following topics: Big Data Management and Analytics, Consistency, Integrity, Quality of Data, Constraint Modelling and Processing, Database Federation and Integration, Interoperability, Multi-Databases, Data and Information Semantics, Data Integration, Metadata Management, and Interoperability, Data Structures and much more.

Digital Sustainability: Inclusion and Transformation

Digital Sustainability: Inclusion and Transformation PDF Author: Fernando Luís Almeida
Publisher: Springer Nature
ISBN: 3031576500
Category :
Languages : en
Pages : 487

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Book Description


5G Wireless Network Security and Privacy

5G Wireless Network Security and Privacy PDF Author: DongFeng Fang
Publisher: John Wiley & Sons
ISBN: 1119784336
Category : Technology & Engineering
Languages : en
Pages : 133

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Book Description
5G WIRELESS NETWORK An expert presentation of 5G security, privacy, and network performance In 5G Wireless Network Security and Privacy, a team of veteran engineers delivers a robust and accessible discussion of 5G security solutions, including physical layer security, authentication, and mobility management. In the book, the authors expertly cover the requirements of 5G wireless network security and privacy, with explorations of existing solutions and vulnerabilities from security architecture and mechanism perspectives. Readers will learn how to enhance the security and network performance of 5G wireless networks in contexts like vehicle‐to‐vehicle and vehicle‐to‐infrastructure communications, industrial automation, health services, smart cities, and smart homes. They will develop a comprehensive understanding of 5G wireless network security as they move through the book’s 11 insightful chapters, developing in‐depth knowledge on the current state of 5G security and coming developments in the field. Readers will also find: A thorough introduction to legacy cellular network security, including network performance development from 1G to 4G In‐depth treatments of 5G network security, including the motivation and objectives of 5G wireless network security Comprehensive explorations of wireless security solutions, including cryptographic approaches and physical layer security Fulsome discussions of the security architecture of cellular networks, including 3G and 4G security Perfect for researchers and professionals working in the field of cybersecurity and 5G wireless networks, 5G Wireless Network Security and Privacy will also earn a place in the libraries of engineers, computer scientists, and graduate students studying 5G network security and privacy.

AI and Its Convergence With Communication Technologies

AI and Its Convergence With Communication Technologies PDF Author: Muneer, Badar
Publisher: IGI Global
ISBN: 1668477033
Category : Technology & Engineering
Languages : en
Pages : 324

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Book Description
The integration of Artificial Intelligence (AI) with Communication Technologies (ICT) is a critical aspect of research and development today, but it poses numerous challenges and bottlenecks. To address these issues, the book AI and Its Convergence with Communication Technologies, edited by a team of expert scholars, provides a comprehensive overview of the state-of-the-art research and practical challenges related to AI's convergence with ICT. It is designed to benefit engineers, professionals, scientists, and academicians, providing them with insights into the ICT industry and research from an AI perspective. The book covers a wide range of topics, including recent advancements and applications in AI, AI in signal processing, AI in mobile and modern wireless networks, and AI towards automation. It also addresses potential applications of AI in national defense, military technology, hybrid warfare, medical and health sciences, and energy-efficient systems. Furthermore, the book highlights the strengths and weaknesses of AI convergence with ICT, along with emerging frontiers and recommendations. It provides a brief history of AI in ICT and a comprehensive introduction to ICT-related methods and techniques in artificial intelligence and machine learning. The book emphasizes the role of AI in extracting knowledge and making predictions in decision-making strategies for businesses, management, and governance. Overall, this book offers a significant contribution to the understanding of AI and its convergence with communication technologies, making it a must-read for scholars and researchers who seek to understand the intersection of AI and ICT and how it impacts modern industries and research.

Smart Agriculture

Smart Agriculture PDF Author: Govind Singh Patel
Publisher: CRC Press
ISBN: 1000327892
Category : Technology & Engineering
Languages : en
Pages : 279

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Book Description
This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. The sector shall make incremental progress as it learns from associations between data over time through Artificial Intelligence, deep learning and Internet of Things applications. The farming industry and Smart agriculture develop from the stringent limits imposed by a farm's location, which in turn has a series of related effects with respect to supply chain management, food availability, biodiversity, farmers' decision-making and insurance, and environmental concerns among others. All of the above-mentioned aspects will derive substantial benefits from the implementation of a data-driven approach under the condition that the systems, tools and techniques to be used have been designed to handle the volume and variety of the data to be gathered. Contributions to this book have been solicited with the goal of uncovering the possibilities of engaging agriculture with equipped and effective profound learning algorithms. Most agricultural research centres are already adopting Internet of Things for the monitoring of a wide range of farm services, and there are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data and IoT structures.

Microelectronics, Communication Systems, Machine Learning and Internet of Things

Microelectronics, Communication Systems, Machine Learning and Internet of Things PDF Author: Vijay Nath
Publisher: Springer Nature
ISBN: 9811919062
Category : Technology & Engineering
Languages : en
Pages : 698

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Book Description
This volume presents peer-reviewed papers of the First International Conference on Microelectronics, Communication Systems, Machine Learning, and the Internet of Things (MCMI-2020). This book discusses recent trends in technology and advancement in microelectronics, nano-electronics, VLSI design, IC technologies, wireless communications, optical communications, SoC, advanced instrumentations, signal processing, internet of things, machine learning, image processing, green energy, hybrid vehicles, weather forecasting, cloud computing, renewable energy, CMOS sensors, actuators, RFID, transducers, real-time embedded system, sensor network and applications, EDA design tools and techniques, fuzzy logic & artificial intelligence, high-performance computer architecture, AI-based robotics & applications, brain-computer interface, deep learning, advanced operating systems, supply chain development & monitoring, physical systems design, ICT applications, e-farming, information security, etc. It includes original papers based on theoretical, practical, experimental, simulations, development, application, measurement, and testing. The applications and solutions discussed in the book will serve as good reference material for young scholars, researchers, and academics.

VLSI, Communication and Signal Processing

VLSI, Communication and Signal Processing PDF Author: R. K. Nagaria
Publisher: Springer Nature
ISBN: 9819909732
Category : Technology & Engineering
Languages : en
Pages : 867

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Book Description
This book covers a variety of topics in Electronics and Communication Engineering, especially in the area of microelectronics and VLSI design, communication systems and networks, and signal and image processing. The content is based on papers presented at the 5th International Conference on VLSI, Communication and Signal Processing (VCAS 2022). The book also discusses the emerging applications of novel tools and techniques in image, video, and multimedia signal processing. This book is useful to students, researchers, and professionals working in the electronics and communication domain.

Machine Learning for Networking

Machine Learning for Networking PDF Author: Éric Renault
Publisher: Springer Nature
ISBN: 3030708667
Category : Computers
Languages : en
Pages : 386

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Book Description
This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN 2019, held in Paris, France, in December 2019. The 26 revised full papers included in the volume were carefully reviewed and selected from 75 submissions. They present and discuss new trends in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection, optimization and new innovative machine learning methods, performance analysis of machine learning algorithms, experimental evaluations of machine learning, data mining in heterogeneous networks, distributed and decentralized machine learning algorithms, intelligent cloud-support communications, ressource allocation, energy-aware communications, software de ned networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, underwater sensor networks.

Smart Computing and Self-Adaptive Systems

Smart Computing and Self-Adaptive Systems PDF Author: Simar Preet Singh
Publisher: CRC Press
ISBN: 1000509974
Category : Computers
Languages : en
Pages : 328

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Book Description
The book intends to cover various problematic aspects of emerging smart computing and self-adapting technologies comprising of machine learning, artificial intelligence, deep learning, robotics, cloud computing, fog computing, data mining algorithms, including emerging intelligent and smart applications related to these research areas. Further coverage includes implementation of self-adaptation architecture for smart devices, self-adaptive models for smart cities and self-driven cars, decentralized self-adaptive computing at the edge networks, energy-aware AI-based systems, M2M networks, sensors, data analytics, algorithms and tools for engineering self-adaptive systems, and so forth. Acts as guide to Self-healing and Self-adaptation based fully automatic future technologies Discusses about Smart Computational abilities and self-adaptive systems Illustrates tools and techniques for data management and explains the need to apply, and data integration for improving efficiency of big data Exclusive chapter on the future of self-stabilizing and self-adaptive systems of systems Covers fields such as automation, robotics, medical sciences, biomedical and agricultural sciences, healthcare and so forth This book is aimed researchers and graduate students in machine learning, information technology, and artificial intelligence.