56 research outputs found

    Internet of Things Applications - From Research and Innovation to Market Deployment

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    The book aims to provide a broad overview of various topics of Internet of Things from the research, innovation and development priorities to enabling technologies, nanoelectronics, cyber physical systems, architecture, interoperability and industrial applications. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC – Internet of Things European Research Cluster from technology to international cooperation and the global "state of play".The book builds on the ideas put forward by the European research Cluster on the Internet of Things Strategic Research Agenda and presents global views and state of the art results on the challenges facing the research, development and deployment of IoT at the global level. Internet of Things is creating a revolutionary new paradigm, with opportunities in every industry from Health Care, Pharmaceuticals, Food and Beverage, Agriculture, Computer, Electronics Telecommunications, Automotive, Aeronautics, Transportation Energy and Retail to apply the massive potential of the IoT to achieving real-world solutions. The beneficiaries will include as well semiconductor companies, device and product companies, infrastructure software companies, application software companies, consulting companies, telecommunication and cloud service providers. IoT will create new revenues annually for these stakeholders, and potentially create substantial market share shakeups due to increased technology competition. The IoT will fuel technology innovation by creating the means for machines to communicate many different types of information with one another while contributing in the increased value of information created by the number of interconnections among things and the transformation of the processed information into knowledge shared into the Internet of Everything. The success of IoT depends strongly on enabling technology development, market acceptance and standardization, which provides interoperability, compatibility, reliability, and effective operations on a global scale. The connected devices are part of ecosystems connecting people, processes, data, and things which are communicating in the cloud using the increased storage and computing power and pushing for standardization of communication and metadata. In this context security, privacy, safety, trust have to be address by the product manufacturers through the life cycle of their products from design to the support processes. The IoT developments address the whole IoT spectrum - from devices at the edge to cloud and datacentres on the backend and everything in between, through ecosystems are created by industry, research and application stakeholders that enable real-world use cases to accelerate the Internet of Things and establish open interoperability standards and common architectures for IoT solutions. Enabling technologies such as nanoelectronics, sensors/actuators, cyber-physical systems, intelligent device management, smart gateways, telematics, smart network infrastructure, cloud computing and software technologies will create new products, new services, new interfaces by creating smart environments and smart spaces with applications ranging from Smart Cities, smart transport, buildings, energy, grid, to smart health and life. Technical topics discussed in the book include: • Introduction• Internet of Things Strategic Research and Innovation Agenda• Internet of Things in the industrial context: Time for deployment.• Integration of heterogeneous smart objects, applications and services• Evolution from device to semantic and business interoperability• Software define and virtualization of network resources• Innovation through interoperability and standardisation when everything is connected anytime at anyplace• Dynamic context-aware scalable and trust-based IoT Security, Privacy framework• Federated Cloud service management and the Internet of Things• Internet of Things Application

    Industry-Academia Research toward Future Network Intelligence:The NG-CDI Prosperity Partnership

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    Ever since the first automation provided by the introduction of the Strowger telephone exchange in the late 19th century, networks have been increas- ingly automated. Fast forward to 2022, and the challenge facing network providers is scaling up this level of automation considering massive increases in complexity, new levels of agility to operate ser- vices, and rising demand from customers within the modern telecommunications ecosystem. This article describes a significant new industry-academia part- nership to address these challenges: Next Gener- ation Converged Digital Infrastructure (NG-CDI) is creating a vision for the building and operation of a future-proof network infrastructure and its autonomic management. In this article, we high- light three exemplar activities within the NG-CDI research program that illustrate the benefits of tak- ing a highly collaborative interdisciplinary approach and show how academia and industry working closely together have delivered a range of direct and positive impacts on business

    Hidden Markov Models

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    Hidden Markov Models (HMMs), although known for decades, have made a big career nowadays and are still in state of development. This book presents theoretical issues and a variety of HMMs applications in speech recognition and synthesis, medicine, neurosciences, computational biology, bioinformatics, seismology, environment protection and engineering. I hope that the reader will find this book useful and helpful for their own research

    Pulling Together or Pulling Apart?

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    In the aftermath of the twentieth century’s raging warfare, attempts were made to create an environment in which new relationships between European nations could be built around a common identity. Yet, in the twenty-first century, identity conflicts are gaining a new intensity in parts of the continent. In the analysis of some sub-state nationalist parties, the prospect of European Union membership reduces the economic and political risks of secession. Meanwhile, to the east, any moves towards expansion of EU membership are viewed by Russia not as a peace project but as acts of aggression. This volume assembles a series of comparative and single-area case studies drawn from different academic disciplines

    Autonomous Robotic Systems in a Variable World:A Task-Centric approach based on Explainable Models

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    Extending P4 in-band telemetry to user equipment for latency-and localization-aware autonomous networking with AI forecasting

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    In beyond-5G networks, detailed end-to-end monitoring of specific application traffic will be required along with the access-backhaul-cloud continuum to enable low latency service due to local edge steering. Current monitoring solutions are confined to specific network segments. In-band network telemetry (INT) technologies for software defined network (SDN) programmable data planes based on the P4 language are effective in the backhaul network segment, although limited to inter-switch latency; therefore, link latencies including wireless and optical segments are excluded from INT monitoring. Moreover, information such as user equipment (UE) geolocation would allow detailed mobility monitoring and improved cloud-edge steering policies. However, the synchronization between latency and location information, typically provided by different platforms, is hard to achieve with current monitoring systems. In this paper, P4-based INT is proposed to be thoroughly extended involving UE. The INT mechanism is designed to provide synchronized and accurate end-to-end latency and geolocation information, enabling decentralized steering policies, i.e., involving UE and selected switches, without SDN controller intervention. The proposal also includes an artificial-intelligence-assisted forecast system able to predict latency and geolocation in advance and trigger faster edge steering

    Autonomous Robotic Systems in a Variable World:A Task-Centric approach based on Explainable Models

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    Platformization and sustainability - potential and challenges of platform business models for consumers

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    The shift to a sustainable economy implies a radical transformation of businesses and society. This paper investigates whether increasing plat formization can accelerate the sustainability transition by outlining the potentials and challenges of platform business models from a consumer and business lens. The research first examines the power of platforms to influence sustainable consumption patterns based on a quantitative survey. Moreover, a multiple-case study is conducted to explore how entrepreneurs can leverage sustainability-oriented platform business models to seize competitive advantage. The results contribute to a better understanding of sustainable platform usage and offer entrepreneurial strategies for sustainable business
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