Anomaly Detection and Complex Event Processing Over IoT Data Streams Book

Anomaly Detection and Complex Event Processing Over IoT Data Streams


  • Author : Patrick Schneider
  • Publisher : Elsevier
  • Release Date : 2022-01-19
  • Genre: Computers
  • Pages : 406
  • ISBN 10 : 9780128238189
  • Total Read : 84
  • File Size : 17,5 Mb

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Anomaly Detection and Complex Event Processing Over IoT Data Streams Summary:

Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event processing in IoT applications. The book comprises fundamental models, concepts and algorithms, architectures and technological solutions as well as their application to eHealth. Case studies, such as the bio-metric signals stream processing are presented -the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches including the Hierarchical Temporal Memory and Deep Learning algorithms. The book discusses adaptive solutions to IoT stream processing that can be extended to different use cases from different fields of eHealth, to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenarios. The book ends with a discussion on ethics, emerging research trends, issues and challenges of IoT data stream processing. Provides the state-of-the-art in IoT Data Stream Processing, Semantic Data Enrichment, Reasoning and Knowledge Covers extraction (Anomaly Detection) Illustrates new, scalable and reliable processing techniques based on IoT stream technologies Offers applications to new, real-time anomaly detection scenarios in the health domain

Anomaly Detection and Complex Event Processing Over IoT Data Streams Book

Anomaly Detection and Complex Event Processing Over IoT Data Streams


  • Author : Patrick Schneider
  • Publisher : Academic Press
  • Release Date : 2022-01-21
  • Genre: Computers
  • Pages : 406
  • ISBN 10 : 9780128238196
  • Total Read : 90
  • File Size : 19,7 Mb

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Anomaly Detection and Complex Event Processing Over IoT Data Streams Summary:

Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event processing in IoT applications. The book comprises fundamental models, concepts and algorithms, architectures and technological solutions as well as their application to eHealth. Case studies, such as the bio-metric signals stream processing are presented –the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches including the Hierarchical Temporal Memory and Deep Learning algorithms. The book discusses adaptive solutions to IoT stream processing that can be extended to different use cases from different fields of eHealth, to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenarios. The book ends with a discussion on ethics, emerging research trends, issues and challenges of IoT data stream processing. Provides the state-of-the-art in IoT Data Stream Processing, Semantic Data Enrichment, Reasoning and Knowledge Covers extraction (Anomaly Detection) Illustrates new, scalable and reliable processing techniques based on IoT stream technologies Offers applications to new, real-time anomaly detection scenarios in the health domain

Advances in Edge Computing  Massive Parallel Processing and Applications Book

Advances in Edge Computing Massive Parallel Processing and Applications


  • Author : F. Xhafa
  • Publisher : IOS Press
  • Release Date : 2020-03-10
  • Genre: Computers
  • Pages : 326
  • ISBN 10 : 9781643680637
  • Total Read : 84
  • File Size : 17,7 Mb

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Advances in Edge Computing Massive Parallel Processing and Applications Summary:

The rapid advance of Internet of Things (IoT) technologies has resulted in the number of IoT-connected devices growing exponentially, with billions of connected devices worldwide. While this development brings with it great opportunities for many fields of science, engineering, business and everyday life, it also presents challenges such as an architectural bottleneck – with a very large number of IoT devices connected to a rather small number of servers in Cloud data centers – and the problem of data deluge. Edge computing aims to alleviate the computational burden of the IoT for the Cloud by pushing some of the computations and logics of processing from the Cloud to the Edge of the Internet. It is becoming commonplace to allocate tasks and applications such as data filtering, classification, semantic enrichment and data aggregation to this layer, but to prevent this new layer from itself becoming another bottleneck for the whole computing stack from IoT to the Cloud, the Edge computing layer needs to be capable of implementing massively parallel and distributed algorithms efficiently. This book, Advances in Edge Computing: Massive Parallel Processing and Applications, addresses these challenges in 11 chapters. Subjects covered include: Fog storage software architecture; IoT-based crowdsourcing; the industrial Internet of Things; privacy issues; smart home management in the Cloud and the Fog; and a cloud robotic solution to assist medical applications. Providing an overview of developments in the field, the book will be of interest to all those working with the Internet of Things and Edge computing.

IoT based Intelligent Modelling for Environmental and Ecological Engineering Book

IoT based Intelligent Modelling for Environmental and Ecological Engineering


  • Author : Paul Krause
  • Publisher : Springer Nature
  • Release Date : 2021-05-31
  • Genre: Computers
  • Pages : 308
  • ISBN 10 : 9783030711726
  • Total Read : 79
  • File Size : 20,7 Mb

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IoT based Intelligent Modelling for Environmental and Ecological Engineering Summary:

This book brings to readers thirteen chapters with contributions to the benefits of using IoT and Cloud Computing to agro-ecosystems from a multi-disciplinary perspective. IoT and Cloud systems have prompted the development of a Cloud digital ecosystem referred to as Cloud-to-thing continuum computing. The key success of IoT computing and the Cloud digital ecosystem is that IoT can be integrated seamlessly with the physical environment and therefore has the potential to leverage innovative services in agro-ecosystems. Areas such as ecological monitoring, agriculture, and biodiversity constitute a large area of potential application of IoT and Cloud technologies. In contrast to traditional agriculture systems that have employed aggressive policies to increase productivity, new agro-ecosystems aim to increase productivity but also achieve efficiency and competitiveness in modern sustainable agriculture and contribute, more broadly, to the green economy and sustainable food-chain industry. Fundamental research as well as concrete applications from various real-life scenarios, such as smart farming, precision agriculture, green agriculture, sustainable livestock and sow farming, climate threat, and societal and environmental impacts, is presented. Research issues and challenges are also discussed towards envisioning efficient and scalable solutions to agro-ecosystems based on IoT and Cloud technologies. Our fundamental belief is that we can collectively trigger a new revolution that will transition agriculture into an equable system that not only feeds the world, but also contributes to mitigating the climate change and biodiversity crises that our historical actions have triggered.

Fog Computing Book

Fog Computing


  • Author : Assad Abbas
  • Publisher : John Wiley & Sons
  • Release Date : 2020-04-21
  • Genre: Technology & Engineering
  • Pages : 616
  • ISBN 10 : 9781119551690
  • Total Read : 94
  • File Size : 9,6 Mb

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Fog Computing Summary:

Summarizes the current state and upcoming trends within the area of fog computing Written by some of the leading experts in the field, Fog Computing: Theory and Practice focuses on the technological aspects of employing fog computing in various application domains, such as smart healthcare, industrial process control and improvement, smart cities, and virtual learning environments. In addition, the Machine-to-Machine (M2M) communication methods for fog computing environments are covered in depth. Presented in two parts—Fog Computing Systems and Architectures, and Fog Computing Techniques and Application—this book covers such important topics as energy efficiency and Quality of Service (QoS) issues, reliability and fault tolerance, load balancing, and scheduling in fog computing systems. It also devotes special attention to emerging trends and the industry needs associated with utilizing the mobile edge computing, Internet of Things (IoT), resource and pricing estimation, and virtualization in the fog environments. Includes chapters on deep learning, mobile edge computing, smart grid, and intelligent transportation systems beyond the theoretical and foundational concepts Explores real-time traffic surveillance from video streams and interoperability of fog computing architectures Presents the latest research on data quality in the IoT, privacy, security, and trust issues in fog computing Fog Computing: Theory and Practice provides a platform for researchers, practitioners, and graduate students from computer science, computer engineering, and various other disciplines to gain a deep understanding of fog computing.

Advances on P2P  Parallel  Grid  Cloud and Internet Computing Book

Advances on P2P Parallel Grid Cloud and Internet Computing


  • Author : Fatos Xhafa
  • Publisher : Springer
  • Release Date : 2018-10-16
  • Genre: Technology & Engineering
  • Pages : 511
  • ISBN 10 : 9783030026073
  • Total Read : 95
  • File Size : 13,5 Mb

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Advances on P2P Parallel Grid Cloud and Internet Computing Summary:

This book presents the latest research findings, as well as innovative theoretical and practical research results, methods and development techniques related to P2P, grid, cloud and Internet computing. It also reveals the synergies among such large scale computing paradigms. P2P, Grid, Cloud and Internet computing technologies have rapidly become established as breakthrough paradigms for solving complex problems by enabling aggregation and sharing of an increasing variety of distributed computational resources on a large scale. Grid computing originated as a paradigm for high-performance computing, offering an alternative to expensive supercomputers through different forms of large-scale distributed computing. P2P computing emerged as a new paradigm following on from client-server and web-based computing and has proved useful in the development of social networking, B2B (Business to Business), B2C (Business to Consumer), B2G (Business to Government), and B2E (Business to Employee). Cloud computing has been described as a “computing paradigm where the boundaries of computing are determined by economic rationale rather than technical limits”. Cloud computing has fast become the computing paradigm with applicability and adoption in all domains and providing utility computing at large scale. Lastly, Internet computing is the basis of any large-scale distributed computing paradigm; it has very quickly developed into a vast and flourishing field with enormous impact on today’s information societies and serving as a universal platform comprising a large variety of computing forms such as grid, P2P, cloud and mobile computing.

Handbook of Research on Investigations in Artificial Life Research and Development Book

Handbook of Research on Investigations in Artificial Life Research and Development


  • Author : Habib, Maki
  • Publisher : IGI Global
  • Release Date : 2018-06-08
  • Genre: Computers
  • Pages : 501
  • ISBN 10 : 9781522553977
  • Total Read : 85
  • File Size : 7,9 Mb

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Handbook of Research on Investigations in Artificial Life Research and Development Summary:

Research on artificial life is critical to solving various dynamic obstacles individuals face on a daily basis. From electric wheelchairs to navigation, artificial life can play a role in improving both the simple and complex aspects of civilian life. The Handbook of Research on Investigations in Artificial Life Research and Development is a vital scholarly reference source that examines emergent research in handling real-world problems through the application of various computation technologies and techniques. Examining topics such as computational intelligence, multi-agent systems, and fuzzy logic, this publication is a valuable resource for academicians, scientists, researchers, and individuals interested in artificial intelligence developments.

Collective Intelligence for Smart Cities Book

Collective Intelligence for Smart Cities


  • Author : Chun HO WU
  • Publisher : Elsevier
  • Release Date : 2022-06-10
  • Genre: Political Science
  • Pages : 244
  • ISBN 10 : 9780128202753
  • Total Read : 67
  • File Size : 13,7 Mb

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Collective Intelligence for Smart Cities Summary:

Collective Intelligence for Smart Cities begins with an overview of the fundamental issues and concepts of smart cities. Surveying the current state-of-the-art research in the field, the book delves deeply into key smart city developments such as health and well-being, transportation, safety, energy, environment and sustainability. In addition, the book focuses on the role of IoT cloud computing and big data, specifically in smart city development. Users will find a unique, overarching perspective that ties together these concepts based on collective intelligence, a concept for quantifying mass activity familiar to many social science and life science researchers. Sections explore how group decision-making emerges from the consensus of the collective, collaborative and competitive activities of many individuals, along with future perspectives. Provides collective intelligence-based solutions to enhance smart city well-being Recommends strategies to ensure smart city sustainability and optimization, including smart transportation Considers cloud-based data processing approaches for managing data collected from smart city applications Uses case studies to shows successful application in a variety of smart city contexts