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Wyniki wyszukiwania dla: Internet of Things (IoT)

  • QoS/QoE in the Heterogeneous Internet of Things (IoT)

    Publikacja

    - Rok 2017

    Applications provided in the Internet of Things can generally be divided into three categories: audio, video and data. This has given rise to the popular term Triple Play Services. The most important audio applications are VoIP and audio streaming. The most notable video applications are VToIP, IPTV, and video streaming, and the service WWW is the most prominent example of data-type services. This chapter elaborates on the most...

  • Manufacturing Data Analysis in Internet of Things/Internet of Data (IoT/IoD) Scenario

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2018

    Computer integrated manufacturing (CIM) has enormous benefits as it increases the rate of production, reduces errors and production waste, and streamlines manufacturing sub-systems. However, there are some new challenges related to CIM operating in the Internet of Things/Internet of Data (IoT/IoD) scenarios associated with Industry 4.0 and cyber-physical systems. The main challenge is to deal with the massive volume of data flowing...

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  • Internet of Things

    Czasopisma

    ISSN: 2543-1536 , eISSN: 2542-6605

  • Experience-Oriented Intelligence for Internet of Things

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2017

    The Internet of Things (IoT) has gained significant attention from industry as well as academia during the past decade. The main reason behind this interest is the capabilities of the IoT for seamlessly integrating classical networks and networked objects, and hence allows people to create an intelligent environment based on this powerful integration. However, how to extract useful information from data produced by IoT and facilitate...

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  • IEEE Internet of Things Journal

    Czasopisma

    ISSN: 2327-4662

  • Experience oriented enhancement of smartness for Internet of Things

    Publikacja

    - Rok 2015

    In this paper, we propose a novel approach, the Experience-Oriented Smart Things that allows experiential knowledge discovery, storage, involving, and sharing for Internet of Things. The main features, architecture, and initial experiments of this approach are introduced. Rather than take all the data produced by Internet of Things, this approach focuses on acquiring only interesting data for its knowledge discovery process. By...

  • Experience-Oriented Knowledge Management for Internet of Things

    Publikacja

    - Rok 2016

    In this paper, we propose a novel approach for knowledge management in Internet of Things. By utilizing Decisional DNA and deep learning technologies, our approach enables Internet of Things of experiential knowledge discovery, representation, reuse, and sharing among each other. Rather than using traditional machine learning and knowledge discovery methods, this approach focuses on capturing domain’s decisional events via Decisional...

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  • The Neural Knowledge DNA Based Smart Internet of Things

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2020

    ABSTRACT The Internet of Things (IoT) has gained significant attention from industry as well as academia during the past decade. Smartness, however, remains a substantial challenge for IoT applications. Recent advances in networked sensor technologies, computing, and machine learning have made it possible for building new smart IoT applications. In this paper, we propose a novel approach: the Neural Knowledge DNA based Smart Internet...

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  • The Decisional DNA-Based Smart Bike for Internet of Things

    Publikacja

    - Rok 2014

    In this paper, we introduce a novel application of the Internet of Things, the Decisional DNAbased Smart Bike. The Decisional DNA is a domain-independent, flexible and standard knowledge representation structure; it allows its domains to acquire and store experiential knowledge and formal decision events in an explicit way. By using Decisional DNA, the sensor-equipped bicycle is able to learn its user’s weight, riding habits, etc....

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  • Review of the Complexity of Managing Big Data of the Internet of Things

    Publikacja

    - COMPLEXITY - Rok 2019

    Tere is a growing awareness that the complexity of managing Big Data is one of the main challenges in the developing feld of the Internet of Tings (IoT). Complexity arises from several aspects of the Big Data life cycle, such as gathering data, storing them onto cloud servers, cleaning and integrating the data, a process involving the last advances in ontologies, such as Extensible Markup Language (XML) and Resource Description...

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