Intelligent Cyber Physical Systems and Internet of Things, Hemanth
Автор: Edited By Gururaj H L, Pramod H B, Gowtham M Название: Advances in SIoT (Social Internet of Things) ISBN: 1032254041 ISBN-13(EAN): 9781032254043 Издательство: Taylor&Francis Рейтинг: Цена: 18374.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 1. Discusses the concept of Social IoT beyond the combinations of Social media and IoT 2. Stimulates research on the topic of the Social Internet of Things 3.
Pays special attention to a human centric perspective 4. Provides several characteristics of social, network, and physical security associated with social information networks
Описание: A unique feature of this open access textbook is to provide a comprehensive introduction to the fundamental knowledge in embedded systems, with applications in cyber-physical systems and the Internet of things.
Описание: A unique feature of this open access textbook is to provide a comprehensive introduction to the fundamental knowledge in embedded systems, with applications in cyber-physical systems and the Internet of things.
Автор: Maleh Yassine, Tawalbeh Lo`ai, Motahhir Saad Название: Advances in Blockchain Technology for Cyber Physical Systems ISBN: 3030936457 ISBN-13(EAN): 9783030936457 Издательство: Springer Рейтинг: Цена: 19514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Cyber-Physical System (CPS) relates to many other popularized technologies such as Internet of Things (IoT, IIoT), Machine-to-Machine (M2M), Industry 4.0, which describe a vision of connected creations that deeply unite the physical and information domains. As a revolutionary technology, Blockchain (BC) provides a practical solution to enable a secure and decentralized public ledger that a huge plethora of exciting new technology applications in several areas, such as the Internet of Things (IoT), Cyber-Physical Systems, Manufacturing, Supply-Chain, etc. Blockchain technology has infiltrated all areas of our lives, from manufacturing to healthcare and beyond. In this context, this book helps discover the various potential applications that could be fruitful for cyber-physical system applications. It provides a sampling of recent advances and ideas on research progress and the practical usage of blockchain technologies in addressing cyber-physical systems challenges and issues. It provides a sampling of recent advances and views on research progress and the practical usage of blockchain technologies in addressing cyber-physical systems challenges and issues.
Описание: The Cyber-Physical System (CPS) relates to many other popularized technologies such as Internet of Things (IoT, IIoT), Machine-to-Machine (M2M), Industry 4.0, which describe a vision of connected creations that deeply unite the physical and information domains. As a revolutionary technology, Blockchain (BC) provides a practical solution to enable a secure and decentralized public ledger that a huge plethora of exciting new technology applications in several areas, such as the Internet of Things (IoT), Cyber-Physical Systems, Manufacturing, Supply-Chain, etc. Blockchain technology has infiltrated all areas of our lives, from manufacturing to healthcare and beyond. In this context, this book helps discover the various potential applications that could be fruitful for cyber-physical system applications. It provides a sampling of recent advances and ideas on research progress and the practical usage of blockchain technologies in addressing cyber-physical systems challenges and issues. It provides a sampling of recent advances and views on research progress and the practical usage of blockchain technologies in addressing cyber-physical systems challenges and issues.
Автор: D. Jude Hemanth; Subarna Shakya; Zubair Baig Название: Intelligent Data Communication Technologies and Internet of Things ISBN: 3030340791 ISBN-13(EAN): 9783030340797 Издательство: Springer Рейтинг: Цена: 24392.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on the emerging advances in distributed communication systems, big data, intelligent computing and Internet of Things, presenting state-of-the-art research in frameworks, algorithms, methodologies, techniques and applications associated with data engineering and wireless distributed communication technologies.
Описание: This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.
Описание: This book provides an overview of the Internet of Things (IoT) - covering new ideas, concepts, research and innovation to enable the development of IoT technologies in a global context. The work is intended as a standalone book in a series covering the activities of the Internet of Things European Research Cluster (IERC) - including research, technological innovation, validation, and deployment.
The book chapters build on the developments and innovative ideas put forward by the IERC, the IoT European Large-Scale Pilots Programme and the IoT European Security and Privacy Projects - presenting new concepts, ideas and future IoT trends and ways of integrating open data frameworks and IoT marketplaces into larger deployment ecosystems.
The IoT and Industrial Internet of Things technologies are moving towards hyperautomated solutions - combining hyperconnectivity, artificial intelligence (AI), distributed ledger technologies and virtual/augmented extended reality, with edge computing and deep edge processing becoming an assertive factor across industries for implementing intelligent distributed computing resources and data to keep the efficient data exchange and processing local to reduce latency, exploit the sensing/actuating capabilities and enable greater autonomy.
Expanding the adoption of consumer, business, industrial and tactile IoT requires further development of hyperautomated IoT concepts for collaborative solutions involving machines and humans to expand augmented creativity at the application level using AI to optimise the industrial processes and progress towards a symbiotic economy based on distributed federated cloud/edge infrastructure allowing resource sharing in the form of computing, memory and analytics capabilities.
The advances of autonomous IoT applications delivering services in real-time encompasses development in servitisation, robotisation, automation and hyperconnectivity, which are essential for the rapid evolution of industrial enterprises in the new digital era. The rise of digital twins integrated into IoT platforms as fully interactive elements embedded into the simulation and optimisation environment, as well as the embedment of AI techniques and methods, enhances the accuracy and performance of models in the various IoT and Industrial Internet of Things applications.
The convergence of technologies to provide scalable, interoperable IoT-enabled applications pushed the requirements for high bandwidth, low latency and robust and dependable connectivity to support the industry's demand for deeper integration and improved analytics to deliver sustainable competitive advantage products and services, enabling digital transformation with a focus on new business models.
Safety and security are interlinked for the next wave of IoT technologies and applications and combined, prove a greater value for rapid adoption.
The new IoT technologies are essential for facilitating sustainable development, reducing energy consumption and, by supporting the optimisation of products and processes, mitigating unnecessary carbon emissions - thereby reducing the environmental impact through real-time data collection, analysis, exchange, and processing.
Описание: A Framework for Developing a Set of Games for Children Diagnosed with Autism.- LinkLearn: Blockchain Technology As A Learning Tool.- New Era of the Nano-Electronic Devices - One of the Most Adaptive Learning Areas for the Next Period.- Open Source Online Conference System for Industry Experts Participation in Education.- Interactive TV And Music Education - Mobile Music Practices & Limitations: Learning Byzantine Music Online.- An Analysis For The Identification Of Use And Development Of Game Design Strategies For Early Childhood Learners.- Measuring knowledge gains in an m-learning intervention: The case of ChildConnect South Africa.- Measuring Uptake and Engagement in an m-learning Intervention: The Case of ChildConnect South Africa.- Development of a Classroom Response System: a Web-based approach used in SEPT.- Analysis of the Perception of Students of the Autonomous University of Baja California Sur for the use of m-learning environments in higher education.- Work-in-Progress: Development of a Framework for Incorporating Usability aspects with Digital Didactical Design for Mobile/Tablet based Learning in Pre-primary Education.- Promoting Authentic Student Assessment For STEM Project-Based Learning Activities.- Predictive Modelling Concerning Mobile Learning Advance.- Assessing Early Grade Mathematics Learner Outcomes Using m-Learning.- Users' and Experts' Evaluation of TARGET: a Serious Game for Mitigating Performance Enhancement Culture in Youth.- Poster: Exploring the Educational Affordances of an Academic Eportfolio for Engineer Students Through a Self-Regulated Learning Framework.- M-health as a Tool in the Cognitive Flexibility of the Elderly.- Critical categorization of Android and IOS Applications available for STEAM Education inEarly Childhood.- Museum exhibits that interact with students' mobile devices. The case of Hellenic Maritime Museum.- Can Elementary Students Design Interactions And Learning Representations Of Educational Apps? The We!Design!Fractions Participatory Approach.- Pedagogical Considerations for Mobile-based Augmented Reality Learning Environments.- Machine learning & Deep learning: Recent Overview in Medical Care.- Learn to Code, an Interactive Application to Promote Mobile Student-Centred Learning.- Emerging Technologies and Augmented Reality in the development of Learning and Human Potential.- Level of Digital Literacies among Austrian College Students Assessed with an Online Survey.- A Gamefied Educational Network for Collaborative Learning.- Dynamic Mobile Student Response Approach.- Poster: The Use of a Virtual Personal Assistant (FENNChat) as a Platform for Providing Automated Responses to ODL Students' Queries at UNISA.- Poster: Proposal of an Intelligent Model for Remote Tutoring.- A Comparative Study Of Augmented Reality Platforms For Building Educational Mobile Applications.- M-Learning: Are We Ready to Go Mobile?.- Framework For Automatic VPN Access To Remotely Discovered Resources.- Poster: Learn To Love My Grandchild Design With The User.- Enhancing Second Language Listening Skills through Smartphones: A Case Study.- Exposing Rural Indian Students to Mobile Assisted Language Learning: A Case Study.- How Can Facebook Use In Education Be Realized As Crowdsourcing Of Learning? An Exploration Of Junior, Senior And Graduates Working Together.- Concept of Digital Competences In-service Training Systems.- Means of Cyber Security Aspects Studying in Maritime Specialists Education.- Evaluating a Coaching MOOC Course to Support Dual Career of Athletes.- LoRa Technology Benefits in Educational Institutes.- Three IoT Wearables in Five European Cities! Reality and Perception.- Work-in-Progress: Designing an E-c
Автор: Balas Valentina E., Solanki Vijender Kumar, Kumar Raghvendra Название: Internet of Things and Big Data Applications: Recent Advances and Challenges ISBN: 3030391183 ISBN-13(EAN): 9783030391188 Издательство: Springer Рейтинг: Цена: 20733.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides essential future directions for IoT and Big Data research. Thus, there is a new global interest in these applications in various domains such as health, agriculture, energy, security and retail.
Описание: This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.
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