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Real Time Sensor Networks And Systems For The Industrial Iot


Real Time Sensor Networks And Systems For The Industrial Iot
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Real Time Sensor Networks And Systems For The Industrial Iot


Real Time Sensor Networks And Systems For The Industrial Iot
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Author : Christos Koulamas
language : en
Publisher: MDPI
Release Date : 2020-11-18

Real Time Sensor Networks And Systems For The Industrial Iot written by Christos Koulamas and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-18 with Technology & Engineering categories.


The Industrial Internet of Things (Industrial IoT—IIoT) has emerged as the core construct behind the various cyber-physical systems constituting a principal dimension of the fourth Industrial Revolution. While initially born as the concept behind specific industrial applications of generic IoT technologies, for the optimization of operational efficiency in automation and control, it quickly enabled the achievement of the total convergence of Operational (OT) and Information Technologies (IT). The IIoT has now surpassed the traditional borders of automation and control functions in the process and manufacturing industry, shifting towards a wider domain of functions and industries, embraced under the dominant global initiatives and architectural frameworks of Industry 4.0 (or Industrie 4.0) in Germany, Industrial Internet in the US, Society 5.0 in Japan, and Made-in-China 2025 in China. As real-time embedded systems are quickly achieving ubiquity in everyday life and in industrial environments, and many processes already depend on real-time cyber-physical systems and embedded sensors, the integration of IoT with cognitive computing and real-time data exchange is essential for real-time analytics and realization of digital twins in smart environments and services under the various frameworks’ provisions. In this context, real-time sensor networks and systems for the Industrial IoT encompass multiple technologies and raise significant design, optimization, integration and exploitation challenges. The ten articles in this Special Issue describe advances in real-time sensor networks and systems that are significant enablers of the Industrial IoT paradigm. In the relevant landscape, the domain of wireless networking technologies is centrally positioned, as expected.



Real Time Sensor Networks And Systems For The Industrial Iot


Real Time Sensor Networks And Systems For The Industrial Iot
DOWNLOAD
Author : Christos Koulamas
language : en
Publisher:
Release Date : 2020

Real Time Sensor Networks And Systems For The Industrial Iot written by Christos Koulamas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.


The Industrial Internet of Things (Industrial IoT--IIoT) has emerged as the core construct behind the various cyber-physical systems constituting a principal dimension of the fourth Industrial Revolution. While initially born as the concept behind specific industrial applications of generic IoT technologies, for the optimization of operational efficiency in automation and control, it quickly enabled the achievement of the total convergence of Operational (OT) and Information Technologies (IT). The IIoT has now surpassed the traditional borders of automation and control functions in the process and manufacturing industry, shifting towards a wider domain of functions and industries, embraced under the dominant global initiatives and architectural frameworks of Industry 4.0 (or Industrie 4.0) in Germany, Industrial Internet in the US, Society 5.0 in Japan, and Made-in-China 2025 in China. As real-time embedded systems are quickly achieving ubiquity in everyday life and in industrial environments, and many processes already depend on real-time cyber-physical systems and embedded sensors, the integration of IoT with cognitive computing and real-time data exchange is essential for real-time analytics and realization of digital twins in smart environments and services under the various frameworks' provisions. In this context, real-time sensor networks and systems for the Industrial IoT encompass multiple technologies and raise significant design, optimization, integration and exploitation challenges. The ten articles in this Special Issue describe advances in real-time sensor networks and systems that are significant enablers of the Industrial IoT paradigm. In the relevant landscape, the domain of wireless networking technologies is centrally positioned, as expected.



Real Time Embedded Systems


Real Time Embedded Systems
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Author : Christos Koulamas
language : en
Publisher: MDPI
Release Date : 2019-01-10

Real Time Embedded Systems written by Christos Koulamas and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-10 with Computers categories.


This book is a printed edition of the Special Issue "Real-Time Embedded Systems" that was published in Electronics



Industrial Wireless Sensor Networks


Industrial Wireless Sensor Networks
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Author : V. Çağrı Güngör
language : en
Publisher: CRC Press
Release Date : 2017-12-19

Industrial Wireless Sensor Networks written by V. Çağrı Güngör and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Computers categories.


The collaborative nature of industrial wireless sensor networks (IWSNs) brings several advantages over traditional wired industrial monitoring and control systems, including self-organization, rapid deployment, flexibility, and inherent intelligent processing. In this regard, IWSNs play a vital role in creating more reliable, efficient, and productive industrial systems, thus improving companies’ competitiveness in the marketplace. Industrial Wireless Sensor Networks: Applications, Protocols, and Standards examines the current state of the art in industrial wireless sensor networks and outlines future directions for research. What Are the Main Challenges in Developing IWSN Systems? Featuring contributions by researchers around the world, this book explores the software and hardware platforms, protocols, and standards that are needed to address the unique challenges posed by IWSN systems. It offers an in-depth review of emerging and already deployed IWSN applications and technologies, and outlines technical issues and design objectives. In particular, the book covers radio technologies, energy harvesting techniques, and network and resource management. It also discusses issues critical to industrial applications, such as latency, fault tolerance, synchronization, real-time constraints, network security, and cross-layer design. A chapter on standards highlights the need for specific wireless communication standards for industrial applications. A Starting Point for Further Research Delving into wireless sensor networks from an industrial perspective, this comprehensive work provides readers with a better understanding of the potential advantages and research challenges of IWSN applications. A contemporary reference for anyone working at the cutting edge of industrial automation, communication systems, and networks, it will inspire further exploration in this promising research area.



Iot And Sensor Networks In Industry And Society


Iot And Sensor Networks In Industry And Society
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Author :
language : en
Publisher:
Release Date : 2022-03

Iot And Sensor Networks In Industry And Society written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03 with Technology & Engineering categories.




Industrial Sensors And Controls In Communication Networks


Industrial Sensors And Controls In Communication Networks
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Author : Dong-Seong Kim
language : en
Publisher: Springer
Release Date : 2018-12-11

Industrial Sensors And Controls In Communication Networks written by Dong-Seong Kim and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-11 with Computers categories.


This informative text/reference presents a detailed review of the state of the art in industrial sensor and control networks. The book examines a broad range of applications, along with their design objectives and technical challenges. The coverage includes fieldbus technologies, wireless communication technologies, network architectures, and resource management and optimization for industrial networks. Discussions are also provided on industrial communication standards for both wired and wireless technologies, as well as for the Industrial Internet of Things (IIoT). Topics and features: describes the FlexRay, CAN, and Modbus fieldbus protocols for industrial control networks, as well as the MIL-STD-1553 standard; proposes a dual fieldbus approach, incorporating both CAN and ModBus fieldbus technologies, for a ship engine distributed control system; reviews a range of industrial wireless sensor network (IWSN) applications, from environmental sensing and condition monitoring, to process automation; examines the wireless networking performance, design requirements, and technical limitations of IWSN applications; presents a survey of IWSN commercial solutions and service providers, and summarizes the emerging trends in this area; discusses the latest technologies and open challenges in realizing the vision of the IIoT, highlighting various applications of the IIoT in industrial domains; introduces a logistics paradigm for adopting IIoT technology on the Physical Internet. This unique work will be of great value to all researchers involved in industrial sensor and control networks, wireless networking, and the Internet of Things.



Artificial Intelligence Techniques In Iot Sensor Networks


Artificial Intelligence Techniques In Iot Sensor Networks
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Author : Mohamed Elhoseny
language : en
Publisher: CRC Press
Release Date : 2020-12-22

Artificial Intelligence Techniques In Iot Sensor Networks written by Mohamed Elhoseny and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-22 with Computers categories.


Artificial Intelligence Techniques in IoT Sensor Networks is a technical book which can be read by researchers, academicians, students and professionals interested in artificial intelligence (AI), sensor networks and Internet of Things (IoT). This book is intended to develop a shared understanding of applications of AI techniques in the present and near term. The book maps the technical impacts of AI technologies, applications and their implications on the design of solutions for sensor networks. This text introduces researchers and aspiring academicians to the latest developments and trends in AI applications for sensor networks in a clear and well-organized manner. It is mainly useful for research scholars in sensor networks and AI techniques. In addition, professionals and practitioners working on the design of real-time applications for sensor networks may benefit directly from this book. Moreover, graduate and master’s students of any departments related to AI, IoT and sensor networks can find this book fascinating for developing expert systems or real-time applications. This book is written in a simple and easy language, discussing the fundamentals, which relieves the requirement of having early backgrounds in the field. From this expectation and experience, many libraries will be interested in owning copies of this work.



Navigating Challenges Of Object Detection Through Cognitive Computing


Navigating Challenges Of Object Detection Through Cognitive Computing
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Author : Ahmad, Sadique
language : en
Publisher: IGI Global
Release Date : 2025-04-30

Navigating Challenges Of Object Detection Through Cognitive Computing written by Ahmad, Sadique and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Computers categories.


Cognitive computing is transforming how machines perceive, analyze, and make intelligent decisions, enabling breakthroughs in object detection, segmentation, and image processing. By integrating cognitive algorithms with machine learning, this technology enhances automation, accuracy, and efficiency across industries such as healthcare, finance, and agriculture. The ability of machines to mimic human reasoning opens new frontiers for innovation, leading to smarter diagnostics, risk assessments, and precision-driven solutions. As cognitive computing evolves, its applications will continue to reshape industries, improve decision-making, and drive technological advancements that impact society on a global scale. Navigating Challenges of Object Detection Through Cognitive Computing explores the challenges of object detection across various domains and presents cognitive computing-based intelligent techniques to overcome them. It provides insights into innovative methodologies for improving detection accuracy in complex scenarios such as surface defect detection, indoor environments, adverse weather conditions, UAV imagery, and camouflaged object detection. Covering topics such as smart engineering, social medial sentiment analyses, and healthcare, this book is an excellent resource for computer engineers, computer scientists, industry practitioners, professionals, researchers, scholars, academicians, and more.



Big Data Enabled Internet Of Things


Big Data Enabled Internet Of Things
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Author : Muhammad Usman Shahid Khan
language : en
Publisher: Computing and Networks
Release Date : 2020-01-10

Big Data Enabled Internet Of Things written by Muhammad Usman Shahid Khan and has been published by Computing and Networks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-10 with Computers categories.


The fields of Big Data and the Internet of Things (IoT) have seen tremendous advances, developments, and growth in recent years. The IoT is the inter-networking of connected smart devices, buildings, vehicles and other items which are embedded with electronics, software, sensors and actuators, and network connectivity that enable these objects to collect and exchange data. The IoT produces a lot of data. Big data describes very large and complex data sets that traditional data processing application software is inadequate to deal with, and the use of analytical methods to extract value from data. This edited book covers analytical techniques for handling the huge amount of data generated by the Internet of Things, from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions.



Sustainability In Industry 5 0


Sustainability In Industry 5 0
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Author : C. Kishor Kumar Reddy
language : en
Publisher: CRC Press
Release Date : 2024-02-19

Sustainability In Industry 5 0 written by C. Kishor Kumar Reddy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-19 with Technology & Engineering categories.


The text emphasizes the need for data pre-processing, classification and prediction, cluster analysis, mining multimedia, and advanced machine learning techniques for scientific programming in Industry 5.0. Addresses how the convergence of intelligent systems and 5G wireless systems will solve industrial problems such as autonomous robots, and self-driving cars Highlights the methods of smart things in collaborative autonomous fleets and platforms for integrating applications across different business and industry domains Discusses important topics such as the Internet of robotic things, cloud robotics, and cognitive architecture for cyber-physical robotics Explains image compression, and advanced machine learning techniques for scientific programming in Industry 5.0 Presents a detailed discussion of smart manufacturing techniques, industrial Internet of things, and supply chain management in Industry 5.0 The text is primarily written for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, electrical engineering, production engineering, and mechanical engineering.