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Wyniki wyszukiwania dla: RDF DATASET PROFILING
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Wyniki wyszukiwania dla: RDF DATASET PROFILING

  • RDF dataset profiling - a survey of features, methods, vocabularies and applications

    Publikacja
    • M. B. Ellefi
    • B. Zohra
    • J. G. Breslin
    • E. Demidova
    • S. Dietze
    • K. Todorov
    • J. Szymański

    - Semantic Web - Rok 2018

    The Web of Data, and in particular Linked Data, has seen tremendous growth over the past years. However, reuse and take-up of these rich data sources is often limited and focused on a few well-known and established RDF datasets. This can be partially attributed to the lack of reliable and up-to-date information about the characteristics of available datasets. While RDF datasets vary heavily with respect to the features related...

  • Noise profiling for speech enhancement employing machine learning models

    Publikacja

    - Journal of the Acoustical Society of America - Rok 2022

    This paper aims to propose a noise profiling method that can be performed in near real-time based on machine learning (ML). To address challenges related to noise profiling effectively, we start with a critical review of the literature background. Then, we outline the experiment performed consisting of two parts. The first part concerns the noise recognition model built upon several baseline classifiers and noise signal features...

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  • Applying the Lombard Effect to Speech-in-Noise Communication

    Publikacja

    - Electronics - Rok 2023

    This study explored how the Lombard effect, a natural or artificial increase in speech loudness in noisy environments, can improve speech-in-noise communication. This study consisted of several experiments that measured the impact of different types of noise on synthesizing the Lombard effect. The main steps were as follows: first, a dataset of speech samples with and without the Lombard effect was collected in a controlled setting;...

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  • Machine learning-based prediction of preplaced aggregate concrete characteristics

    Preplaced-Aggregate Concrete (PAC) is a type of preplaced concrete where coarse aggregate is placed in the mold and a Portland cement-sand grout with admixtures is injected to fill the voids. Due to the complex nature of PAC, many studies were conducted to determine the effects of admixtures and the compressive and tensile strengths of PAC. Considering that a prediction tool is needed to estimate the compressive and tensile...

  • Machine learning-based prediction of preplaced aggregate concrete characteristics

    Preplaced-Aggregate Concrete (PAC) is a type of preplaced concrete where coarse aggregate is placed in the mold and a Portland cement-sand grout with admixtures is injected to fill the voids. Due to the complex nature of PAC, many studies were conducted to determine the effects of admixtures and the compressive and tensile strengths of PAC. Considering that a prediction tool is needed to estimate the compressive and tensile strengths...

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  • Pyrolysis of RDF and Catalytic Decomposition of the Produced Tar in a Char Bed Secondary Reactor as an Efficient Source of Syngas

    Publikacja

    - Processes - Rok 2022

    One of the technical limitations of refuse-derived fuel (RDF) pyrolysis is the high content of tar in its gas products. In order to resolve this problem, a two-stage RDF pyrolysis with a catalyst based on char from RDF pyrolysis is proposed. This paper presents the results of municipal waste pyrolysis beginning in an oven heated to 480 °C and ending with catalytic tar cracking carried out in the temperature range from 800 to 1000...

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  • AITP - AI Thermal Pedestrians Dataset

    Efficient pedestrian detection is a very important task in ensuring safety within road conditions, especially after sunset. One way to achieve this goal is to use thermal imaging in conjunction with deep learning methods and an annotated dataset for models training. In this work, such a dataset has been created by capturing thermal images of pedestrians in different weather and traffic conditions. All images were manually annotated...

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  • The Optimum Dataset method – examples of the application

    Publikacja

    - Rok 2018

    Data reduction is a procedure to decrease the dataset in order to make their analysis more effective and easier. Reduction of the dataset is an issue that requires proper planning, so after reduction it meets all the user’s expectations. Evidently, it is better if the result is an optimal solution in terms of adopted criteria. Within reduction methods, which provide the optimal solution there is the Optimum Dataset method (OptD)...

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  • Non-Contact Temperature Measurements Dataset

    Publikacja

    - Rok 2022

    The dataset titled The influence of the distance of the pyrometer from the surface of the radiating object on the accuracy of measurements contains temperature measurements using a selection of four commercially available pyrometers (CHY 314P, TM-F03B, TFA 31.1125 and AB-8855) as a function of the measuring distance. The dataset allows a comparison of the accuracy and measuring precision of the devices, which are very important...

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  • Opis zasobów za pomocą RDF.

    Publikacja

    - Rok 2004

    Przedstawiono zarys idei sieci semantycznej i rolę języka OWL w tej inicjatywie. Omówiono pojęcie ontologii i jej budowę przyjętą w OWL. Opisano trzy wersje języka wraz ze wskazaniem różnic i odmiennych zastosowań. Szczegółowo przedstawiono sposób definiowania klas i ich instancji, a także metody tworzenia relacji między klasami za pomocą właściwości. Na przykładach omówiono rodzaje właściwości oferowanych przez specyfikację OWL....