Search results for: INTERNET OF DATA - Bridge of Knowledge

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Search results for: INTERNET OF DATA

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

    Publication

    - CYBERNETICS AND SYSTEMS - Year 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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  • Review of the Complexity of Managing Big Data of the Internet of Things

    Publication

    - COMPLEXITY - Year 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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  • Energy-Optimal Data Aggregation and Dissemination for the Internet of Things

    Publication

    - IEEE Internet of Things Journal - Year 2018

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  • Big Data and the Internet of Things in Edge Computing for Smart City

    Publication

    - Year 2019

    Requests expressing collective human expectations and outcomes from city service tasks can be partially satisfied by processing Big Data provided to a city cloud via the Internet of Things. To improve the efficiency of the city clouds an edge computing has been introduced regarding Big Data mining. This intelligent and efficient distributed system can be developed for citizens that are supposed to be informed and educated by the...

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  • A Workflow Application for Parallel Processing of Big Data from an Internet Portal

    Publication

    - Year 2014

    The paper presents a workflow application for efficient parallel processing of data downloaded from an Internet portal. The workflow partitions input files into subdirectories which are further split for parallel processing by services installed on distinct computer nodes. This way, analysis of the first ready subdirectories can start fast and is handled by services implemented as parallel multithreaded applications using multiple...

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  • Collective citizens' behavior modelling with support of the Internet of Things and Big Data

    In this paper, collective human behaviors are modelled by a development of Big Data mining related to the Internet of Things. Some studies under MapReduce architectures have been carried out to improve an efficiency of Big Data mining. Intelligent agents in data mining have been analyzed for smart city systems, as well as data mining has been described by genetic programming. Furthermore, artificial neural networks have been discussed...

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  • Machine-to-Machine communication and data processing approach in Future Internet applications

    Publication
    • D. Walczak
    • M. Wrzos
    • A. Radziuk
    • B. Lewandowski
    • C. Mazurek

    - Year 2012

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  • Choosing Exploration Process Path in Data Mining Processes for Complex Internet Objects

    We present an experimental case study of a novel and original framework for classifying aggregate objects, i.e. objects that consist of other objects. The features of the aggregated objects are converted into the features of aggregate ones, by use of aggregate functions. The choice of the functions, along with the specific method of classification can be automated by choosing of one of several process paths, and different paths...

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  • Choosing Exploration Process Path in Data Mining Processes for Complex Internet Objects

    Publication

    - Year 2020

    We present an experimental case study of a novel and original framework for classifying aggregate objects, i.e. objects that consist of other objects. The features of the aggregated objects are converted into the features of aggregate ones, by use of aggregate functions. The choice of the functions, along with the specific method of classification can be automated by choosing of one of several process paths, and different paths...

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  • Advances in Architectures, Big Data, and Machine Learning Techniques for Complex Internet of Things Systems

    Publication

    - COMPLEXITY - Year 2019

    Te feld of Big Data is rapidly developing with a lot of ongoing research, which will likely continue to expand in the future. A crucial part of this is Knowledge Discovery from Data (KDD), also known as the Knowledge Discovery Process (KDP). Tis process is a very complex procedure, and for that reason it is essential to divide it into several steps (Figure 1). Some authors use fve steps to describe this procedure, whereas others...

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  • Big Data from Sensor Network via Internet of Things to Edge Deep Learning for Smart City

    Publication

    - Year 2021

    Data from a physical world is sampled by sensor networks, and then streams of Big Data are sent to cloud hosts to support decision making by deep learning software. In a smart city, some tasks may be assigned to smart devices of the Internet of Things for performing edge computing. Besides, a part of workload of calculations can be transferred to the cloud hosts. This paper proposes benchmarks for division tasks between an edge...

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  • Internet payment methods in Poland

    Publication

    In this chapter authors intended to describe wide range of aspects of the Internet payment systems. At the beginning there is briefly shown their evolution and features required for the effective payment system. Data on the popularity of different payment systems in Internet transactions links this section with description of the current state of payment systems available in Poland.

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

    Publication

    - Year 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...

  • Model of the Internet mortgage market optimization

    Publication

    The Internet mortgages are currently a fast growing market, allowing selling mortgages cheaper andfaster than in the traditional methods such as in bank departments.Given the specificity of selling mortgages in the Internet, banks try to sell more mortgages by spendingmore money on advertising and paying higher commission to the brokers selling their products. It is important tooptimise the amounts of money in both sectors (the...

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  • Experience oriented enhancement of smartness for Internet of Things

    Publication

    - Year 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 Intelligence for Internet of Things

    Publication

    - CYBERNETICS AND SYSTEMS - Year 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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  • The Decisional DNA-Based Smart Bike for Internet of Things

    Publication

    - Year 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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  • Experience-Oriented Knowledge Management for Internet of Things

    Publication

    - Year 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 Hybrid Fuzzy - SOEKS Approach to the Polish Internet Mortgage Market

    The paper presents the hybrid fuzzy- SOEKS approach to the Polish Internet mortgage market, which is treated as an example of a fast changing market. Firstly, the market and market problems are described. Then, the first approach to the market problems is presented: the complete fuzzy model which was built basing on the rules. The fuzzy model is presented on one real data case. Next, the new approach, called Set of Experience Knowledge...

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  • Energy efficient indoor localisation for narrowband internet of things

    Publication

    - Year 2023

    There are an increasing number of Narrow Band IoT devices being manufactured as the technology behind them develops quickly. The high co-channel interference and signal attenuation was seen in edge Narrow Band IoT devices make it challenging to guarantee the service quality of these devices. To maximize the data rate fairness of Narrow Band IoT devices, a multi-dimensional indoor localization model is devised, consisting of...

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