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Home > Computing and Information Technology > Computer science > Human–computer interaction > Information architecture > Next Generation Internet of Things: Distributed Intelligence at the Edge and Human Machine-To-Machine Cooperation(River Publishers Communications)
Next Generation Internet of Things: Distributed Intelligence at the Edge and Human Machine-To-Machine Cooperation(River Publishers Communications)

Next Generation Internet of Things: Distributed Intelligence at the Edge and Human Machine-To-Machine Cooperation(River Publishers Communications)


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About the Book

This book provides an overview of the next generation Internet of Things (IoT), ranging from research, innovation, development priorities, to enabling technologies in a global context. It is intended as a standalone in a series covering the activities of the Internet of Things European Research Cluster (IERC), including research, technological innovation, validation, and deployment. The text builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI), the IoT European Large-Scale Pilots Programme and the IoT European Security and Privacy Projects, presenting global views and state-of-the-art results regarding the next generation of IoT research, innovation, development, and deployment. The IoT and Industrial Internet of Things (IIoT) are evolving towards the next generation of Tactile IoT/IIoT, bringing together hyperconnectivity (5G and beyond), edge computing, Distributed Ledger Technologies (DLTs), virtual and augmented reality (VR/AR), and AI transformation. Following the wider adoption of consumer IoT, the next generation of IoT/IIoT innovation for business is driven by industries, addressing interoperability issues and providing new end-to-end security solutions to face continuous treats. The advances of AI technology in vision, speech recognition, natural language processing and dialog are enabling the development of end-to-end intelligent systems encapsulating multiple technologies, delivering services in real-time using limited resources. These developments are focusing on designing and delivering embedded and hierarchical AI solutions in IoT/IIoT, edge computing, using distributed architectures, DLTs platforms and distributed end-to-end security, which provide real-time decisions using less data and computational resources, while accessing each type of resource in a way that enhances the accuracy and performance of models in the various IoT/IIoT applications. The convergence and combination of IoT, AI and other related technologies to derive insights, decisions and revenue from sensor data provide new business models and sources of monetization. Meanwhile, scalable, IoT-enabled applications have become part of larger business objectives, enabling digital transformation with a focus on new services and applications. Serving the next generation of Tactile IoT/IIoT real-time use cases over 5G and Network Slicing technology is essential for consumer and industrial applications and support reducing operational costs, increasing efficiency and leveraging additional capabilities for real-time autonomous systems. New IoT distributed architectures, combined with system-level architectures for edge/fog computing, are evolving IoT platforms, including AI and DLTs, with embedded intelligence into the hyperconnectivity infrastructure. The next generation of IoT/IIoT technologies are highly transformational, enabling innovation at scale, and autonomous decision-making in various application domains such as healthcare, smart homes, smart buildings, smart cities, energy, agriculture, transportation and autonomous vehicles, the military, logistics and supply chain, retail and wholesale, manufacturing, mining and oil and gas.

About the Author :
Dr. Ovidiu Vermesan holds a PhD in Microelectronics and a Master of International Business (MIB) degree. He is Chief Scientist at SINTEF Digital, Oslo, Norway. His research interests are in the area of smart systems integration, mixed-signal embedded electronics, analogue neural networks, artificial intelligence, and cognitive communication systems. Dr. Vermesan received SINTEF's 2003 award for research excellence for his work on the implementation of a biometric sensor system. He is currently working on projects addressing nanoelectronics, integrated sensor/actuator systems, communication, cyber-physical systems (CPSs) and Industrial Internet of Things (IIoT), with applications in green mobility, energy, autonomous systems, and smart cities. He has authored or co-authored over 85 technical articles and conference papers. He is actively involved in the activities of the Electronic Components and Systems for European Leadership Joint Undertaking (ECSEL JU) and involved in technical activities to define the priorities for the new European partnership for Key Digital Technologies (KDT). He has coordinated and managed various national, EU and other international projects related to smart sensor systems, integrated electronics, electromobility and intelligent autonomous systems such as E3Car, POLLUX, CASTOR, IoE, MIRANDELA, IoF2020, AUTOPILOT, AutoDrive, ArchitectECA2030, AI4DI, AI4CSM. Dr. Vermesan actively participates in national, H2020 EU and other international initiatives by coordinating and managing various projects. He is the coordinator of the IoT European Research Cluster (IERC) and a member of the board of the Alliance for Internet of Things Innovation (AIOTI). He is currently the technical co-coordinator of the Artificial Intelligence for Digitising Industry (AI4DI) project. Joël Bacquet is a senior official of DG CONNECT of the European Commission, taking care of the research and innovation policy for the Internet of Things. Before working in this field, he was program officer in "Future Internet ExperimentalPlatforms", head of the sector "Virtual Physiological Human" in the ICT forhealth domain. From 1999 to 2003, he was head of the sector "networked organizations" in the eBusiness unit. He started working with the EuropeanCommission in 1993, in the Software Engineering Unit of the ESPRIT Program. He started his carrier as visiting scientist for Quantel a LASER company in SanJosé, California in 1981. From 1983 to 1987, he was with Thomson CSF (Thales)as software development engineer for a Radar System. From 1987 to 1991, heworked with the European Space Agency as software engineer on the EuropeanSpace shuttle and international Space platform programs (ISS). From 1991 to1993 he was with Eurocontrol where he was Quality manager of an Air TrafficControl system. He is an engineer in computer science from Institut Supérieurd'Electronique du Nord (ISEN) and he has an MBA from Webster University, Missouri.


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Product Details
  • ISBN-13: 9788770220071
  • Publisher: River Publishers
  • Publisher Imprint: River Publishers
  • Height: 234 mm
  • No of Pages: 300
  • Sub Title: Distributed Intelligence at the Edge and Human Machine-To-Machine Cooperation
  • ISBN-10: 8770220077
  • Publisher Date: 14 Dec 2018
  • Binding: Digital (delivered electronically)
  • Language: English
  • Series Title: River Publishers Communications
  • Width: 156 mm


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