Internet of Things and Inter-cooperative Computational Technologies for Collective Intelligence

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Publisher : Springer
ISBN 13 : 3642349528
Total Pages : 476 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Internet of Things and Inter-cooperative Computational Technologies for Collective Intelligence by : Nik Bessis

Download or read book Internet of Things and Inter-cooperative Computational Technologies for Collective Intelligence written by Nik Bessis and published by Springer. This book was released on 2012-12-14 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past two decades, we have witnessed unprecedented innovations in the development of miniaturized electromechanical devices and low-power wireless communication making practical the embedding of networked computational devices into a rapidly widening range of material entities. This trend has enabled the coupling of physical objects and digital information into cyber-physical systems and it is widely expected to revolutionize the way resource computational consumption and provision will occur. Specifically, one of the core ingredients of this vision, the so-called Internet of Things (IoT), demands the provision of networked services to support interaction between conventional IT systems with both physical and artificial objects. In this way, IoT is seen as a combination of several emerging technologies, which enables the transformation of everyday objects into smart objects. It is also perceived as a paradigm that connects real world with digital world. The focus of this book is exactly on the novel collective and computational intelligence technologies that will be required to achieve this goal. While, one of the aims of this book is to discuss the progress made, it also prompts future directions on the utilization of inter-operable and cooperative next generation computational technologies, which supports the IoT approach, that being an advanced functioning towards an integrated collective intelligence approach for the benefit of various organizational settings.

Control of Multiphase Machines and Drives

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Publisher : MDPI
ISBN 13 : 3039281364
Total Pages : 146 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Control of Multiphase Machines and Drives by : Federico Barrero

Download or read book Control of Multiphase Machines and Drives written by Federico Barrero and published by MDPI. This book was released on 2020-01-24 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the growing interest in electrical machines in recent times, the multiphase machine field has developed into a fascinating research area. Their intrinsic features (power splitting, better fault tolerance, or lower torque ripple) make them an appealing competitor to conventional three-phase machines. Multiphase electric drives have been recently used in applications where fault tolerance and continuous operation of the drive are required. However, the difficulties in extending the three-phase conventional current regulation and control structure to multiphase systems still limit their broad applicability in industry solutions. The main objective of this book is to illustrate new advances, developments, and applications in the field of multiphase machines and drives, while exposing these advances, developments, and applications to the scientific community and industry.

Nature-Inspired Networking

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Publisher : CRC Press
ISBN 13 : 1351182072
Total Pages : 389 pages
Book Rating : 4.3/5 (511 download)

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Book Synopsis Nature-Inspired Networking by : Phan Cong-Vinh

Download or read book Nature-Inspired Networking written by Phan Cong-Vinh and published by CRC Press. This book was released on 2018-02-13 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Nature-inspired" includes, roughly speaking, "bio-inspired"+"physical-inspired"+"social-inspired"+ and so on. This book contains highly original contributions about how nature is going to shape networking systems of the future. Hence, it focuses on rigorous approaches and cutting-edge solutions, which encompass three classes of major methods: 1) Those that take inspiration from nature for the development of novel problem solving techniques; 2) Those that are based on the use of networks to synthesize natural phenomena; and 3) Those that employ natural materials to compute or communicate.

Electric Machines and Drives

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Publisher : BoD – Books on Demand
ISBN 13 : 9533075481
Total Pages : 278 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis Electric Machines and Drives by : Miroslav Chomat

Download or read book Electric Machines and Drives written by Miroslav Chomat and published by BoD – Books on Demand. This book was released on 2011-02-28 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of this book is an important and diverse field of electric machines and drives. The twelve chapters of the book written by renowned authors, both academics and practitioners, cover a large part of the field of electric machines and drives. Various types of electric machines, including three-phase and single-phase induction machines or doubly fed machines, are addressed. Most of the chapters focus on modern control methods of induction-machine drives, such as vector and direct torque control. Among others, the book addresses sensorless control techniques, modulation strategies, parameter identification, artificial intelligence, operation under harsh or failure conditions, and modelling of electric or magnetic quantities in electric machines. Several chapters give an insight into the problem of minimizing losses in electric machines and increasing the overall energy efficiency of electric drives.

Applications of Big Data Analytics

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Publisher : Springer
ISBN 13 : 9783030094973
Total Pages : 0 pages
Book Rating : 4.0/5 (949 download)

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Book Synopsis Applications of Big Data Analytics by : Mohammed M. Alani

Download or read book Applications of Big Data Analytics written by Mohammed M. Alani and published by Springer. This book was released on 2019-02-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery. Topics and features: Discusses a model for data traffic aggregation in 5G cellular networks, and a novel scheme for resource allocation in 5G networks with network slicing Explores methods that use big data in the assessment of flood risks, and apply neural networks techniques to monitor the safety of nuclear power plants Describes a system which leverages big data analytics and the Internet of Things in the application of drones to aid victims in disaster scenarios Proposes a novel deep learning-based health data analytics application for sleep apnea detection, and a novel pathway for diagnostic models of headache disorders Reviews techniques for educational data mining and learning analytics, and introduces a scalable MapReduce graph partitioning approach for high degree vertices Presents a multivariate and dynamic data representation model for the visualization of healthcare data, and big data analytics methods for software reliability assessment This practically-focused volume is an invaluable resource for all researchers, academics, data scientists and business professionals involved in the planning, designing, and implementation of big data analytics projects. Dr. Mohammed M. Alani is an Associate Professor in Computer Engineering and currently is the Provost at Al Khawarizmi International College, Abu Dhabi, UAE. Dr. Hissam Tawfik is a Professor of Computer Science in the School of Computing, Creative Technologies & Engineering at Leeds Beckett University, UK. Dr. Mohammed Saeed is a Professor in Computing and currently is the Vice President for Academic Affairs and Research at the University of Modern Sciences, Dubai, UAE. Dr. Obinna Anya is a Research Staff Member at IBM Research – Almaden, San Jose, CA, USA.

Smart Technologies for Emergency Response and Disaster Management

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Publisher :
ISBN 13 : 9781522525752
Total Pages : 0 pages
Book Rating : 4.5/5 (257 download)

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Book Synopsis Smart Technologies for Emergency Response and Disaster Management by : Zhi Liu

Download or read book Smart Technologies for Emergency Response and Disaster Management written by Zhi Liu and published by . This book was released on 2017-05-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book address the difficulties, challenges and solution in Smart Technologies for Emergency Response & Disaster Management. The chapters address different aspects of Smart Technologies for Emergency Response & Disaster Management, ranging from network technology for emergency response and disaster management, big data for emergency response and disaster management to robotics emergency response and disaster management"--