Advanced Iot Sensors Networks And Systems
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Advanced Iot Sensors Networks And Systems
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Author : Ashwani Kumar Dubey
language : en
Publisher: Springer Nature
Release Date : 2023-06-24
Advanced Iot Sensors Networks And Systems written by Ashwani Kumar Dubey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-24 with Technology & Engineering categories.
This volume comprises selected peer-reviewed proceedings of the 9th International Conference on Signal Processing and Integrated Networks (SPIN 2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in signal processing, IoT sensors, systems and technologies, cloud computing, wireless communication, and wireless sensor networks. This volume will provide a valuable resource for those in academia and industry.
Real Time Sensor Networks And Systems For The Industrial Iot
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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.
Advanced Security Issues Of Iot Based 5g Plus Wireless Communication For Industry 4 0
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Author : Vijey Thayananthan, Ph.d.
language : en
Publisher:
Release Date : 2019-05-17
Advanced Security Issues Of Iot Based 5g Plus Wireless Communication For Industry 4 0 written by Vijey Thayananthan, Ph.d. and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-17 with categories.
Advanced IoT based wireless communication has recently received a lot of attention due to a wide range of industry 4.0 applications such as security solutions of CPS in vehicular communication, E_Healthcare over secure wireless communication, privacy issues of E_Learning via cost and energy efficient wireless network communication, etc. In these applications, physical data is continuously monitored by the IoT-based sensor nodes to facilitate the current situations, 5G network management, security solutions, etc. in industry 4.0 environment. Despite the many security issues considered in existing wireless communication in the industry 4.0 applications, IoT based 5G and 5G+ wireless communication will enhance the future security issues including cybersecurity solutions. The aim of this book to deliver the best services with minimum cost and maximum security in all industry 4.0 applications. For instance, medical priority services against the available sources and devices (IoT, sensors, decision-making units, etc.), patient monitoring services against the waiting list and the population, and security services of CPS against the energy efficiency and the battery lifetime are challenging critical problems in the industry 4.0. This book covers some improvement methods in security influence to future communication they are cybersecurity issues of IoT based 5G and 5G+ communication systems. These methods can be considered through the efficient channel coding scheme, efficient traffic management, bandwidth guard, cybersecurity solutions, etc. Requirements for future communication such 5G+ support to illustrate the security issues in selected applications of industry 4.0 such as learning style transformation. Sensors are typically capable of wireless communication and are significantly utilized in many applications such as medical communication with IoT-based 5G infrastructure. Despite many security solutions of communication technologies, decision making, dynamic and intelligent solutions based on sensors, IoT devices, CPS, etc. will be minimizing energy costs and maximizing security issues of industry 4.0. The field of advanced IoT-based 5G+ wireless communication networks merge a lot of functions like secure transmission capacities with latest multiple access schemes, computation of best latency and energy efficiency, and secure communication with location-based services, etc. This book covers many functionalities through the important examples and applications used in industry 4.0.
Internet Of Things And Sensor Network For Covid 19
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Author : Siba Kumar Udgata
language : en
Publisher:
Release Date : 2021
Internet Of Things And Sensor Network For Covid 19 written by Siba Kumar Udgata and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Artificial intelligence categories.
This book examines various models/solutions in areas, such as individuals, home, work and society, where IoT and AI are being utilized to mitigate the Covid-19 pandemic. The world is battling with the novel coronavirus, and government authorities, scientists, medical practitioners, and medical services are striving hard to help people to face the challenges. During this crisis, numerous innovative ideas and solutions have been proposed for using the Internet of things (IoT), sensor networks, and artificial intelligence (AI) to monitor the wellbeing of individuals. Nations are using all available assets to help develop cutting-edge innovations to relieve the impacts of Covid-19 and profile individuals in danger. The advances in IoT frameworks and sensor technologies together with AI are invaluable in the context of this pandemic, and nations and various entities around the globe are discovering innovative solutions to maintain businesses and help people live alongside Covid-19. This book presents the advances in sensor technologies, IoT frameworks, and explores how these technologies are being used to deal with the issues arising from Covid-19, including work in progress and potential applications.
Artificial Intelligence For Renewable Energy Systems
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Author : Ajay Kumar Vyas
language : en
Publisher: John Wiley & Sons
Release Date : 2022-03-02
Artificial Intelligence For Renewable Energy Systems written by Ajay Kumar Vyas and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-02 with Computers categories.
ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.
Mission Oriented Sensor Networks And Systems Art And Science
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Author : Habib M. Ammari
language : en
Publisher: Springer Nature
Release Date : 2019-09-18
Mission Oriented Sensor Networks And Systems Art And Science written by Habib M. Ammari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-18 with Technology & Engineering categories.
This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.
Handbook Of Research On Advanced Wireless Sensor Network Applications Protocols And Architectures
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Author : Ray, Niranjan K.
language : en
Publisher: IGI Global
Release Date : 2016-08-01
Handbook Of Research On Advanced Wireless Sensor Network Applications Protocols And Architectures written by Ray, Niranjan K. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-01 with Technology & Engineering categories.
The implementation of wireless sensor networks has wide-ranging applications for monitoring various physical and environmental settings. However, certain limitations with these technologies must be addressed in order to effectively utilize them. The Handbook of Research on Advanced Wireless Sensor Network Applications, Protocols, and Architectures is a pivotal reference source for the latest research on recent innovations and developments in the field of wireless sensors. Examining the advantages and challenges presented by the application of these networks in various areas, this book is ideally designed for academics, researchers, students, and IT developers.
Intelligent Computing And Networking
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Author : George Ghinea
language : en
Publisher: Springer Nature
Release Date : 2025-02-15
Intelligent Computing And Networking written by George Ghinea and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-15 with Technology & Engineering categories.
This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2024), organized by the Computer Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 23–24, 2024. The book includes innovative and novel papers in the areas of intelligent computing, artificial intelligence, machine learning, deep learning, fuzzy logic, natural language processing, human–machine interaction, big data mining, data science and mining, applications of intelligent systems in healthcare, finance, agriculture and manufacturing, high-performance computing, computer networking, sensor and wireless networks, Internet of Things (IoT), software-defined networks, cryptography, mobile computing, digital forensics, and blockchain technology.
Green Internet Of Things And Machine Learning
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Author : Roshani Raut
language : en
Publisher: John Wiley & Sons
Release Date : 2022-01-10
Green Internet Of Things And Machine Learning written by Roshani Raut and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-10 with Computers categories.
Health Economics and Financing Encapsulates different case studies where green-IOT and machine learning can be used for making significant progress towards improvising the quality of life and sustainable environment. The Internet of Things (IoT) is an evolving idea which is responsible for connecting billions of devices that acquire, perceive, and communicate data from their surroundings. Because this transmission of data uses significant energy, improving energy efficiency in IOT devices is a significant topic for research. The green internet of things (G-IoT) makes it possible for IoT devices to use less energy since intelligent processing and analysis are fundamental to constructing smart IOT applications with large data sets. Machine learning (ML) algorithms that can predict sustainable energy consumption can be used to prepare guidelines to make IoT device implementation easier. Green Internet of Things and Machine Learning lays the foundation of in-depth analysis of principles of Green-Internet of Things (G-IoT) using machine learning. It outlines various green ICT technologies, explores the potential towards diverse real-time areas, as well as highlighting various challenges and obstacles towards the implementation of G-IoT in the real world. Also, this book provides insights on how the machine learning and green IOT will impact various applications: It covers the Green-IOT and ML-based smart computing, ML techniques for reducing energy consumption in IOT devices, case studies of G-IOT and ML in the agricultural field, smart farming, smart transportation, banking industry and healthcare. Audience The book will be helpful for research scholars and researchers in the fields of computer science and engineering, information technology, electronics and electrical engineering. Industry experts, particularly in R&D divisions, can use this book as their problem-solving guide.
Smart Sensors And Systems
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Author : Chong-Min Kyung
language : en
Publisher: Springer
Release Date : 2016-10-16
Smart Sensors And Systems written by Chong-Min Kyung and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-16 with Technology & Engineering categories.
This book describes the technology used for effective sensing of our physical world and intelligent processing techniques for sensed information, which are essential to the success of Internet of Things (IoT). The authors provide a multidisciplinary view of sensor technology from materials, process, circuits, and big data domains and showcase smart sensor systems in real applications including smart home, transportation, medical, environmental, agricultural, etc. Unlike earlier books on sensors, this book provides a “global” view on smart sensors covering abstraction levels from device, circuit, systems, and algorithms.