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    Wyświetlanie 1-7 z 7
    Tytuł:
    Empirical Approach in Topology Control of Sensor Networks for Urban Environment
    Autorzy:
    Musznicki, Bartosz
    Powiązania:
    https://bibliotekanauki.pl/articles/309443.pdf
    Data publikacji:
    2019
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    empirical approach
    node deployment
    sensor network
    topology control
    urban environment
    WSN
    Opis:
    Research into the topology control of Wireless Sensor Networks (WSNs) is geared towards modeling and analysis of methods that may be potentially harnessed to optimize the structure of connections. However, in practice, the ideas and concepts provided by researchers have actually been rarely used by network designers, while sensor systems that have already been deployed and are under continued development in urban environments frequently differ from the patterns and research models available. Moreover, easy access to diversified wireless technologies enabling new solutions to be empirically developed and popularized has also been conducive to strengthening this particular trend.
    Źródło:
    Journal of Telecommunications and Information Technology; 2019, 1; 47-57
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Theoretical and applied research in the field of higher geodesy conducted in Rzeszow
    Autorzy:
    Kadaj, R.
    Świętoń, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/106853.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Warszawska. Wydział Geodezji i Kartografii
    Tematy:
    automatic postprocessing
    combined geodetic network
    empirical reduction of observations
    empirical transformation on a grid
    przetwarzanie automatyczne
    sieć geodezyjna
    redukcja obserwacji
    transformacja siatki
    Opis:
    Important qualitative changes were taking place in Polish geodesy in last few years. It was related to application of new techniques and technologies and to introduction of European reference frames in Poland. New reference stations network ASG-EUPOS, together with Internet services which helps in precise positioning was created. It allows to fast setting up precise hybrid networks. New, accurate satellite networks became the basis of new definitions in the field of reference systems. Simultaneously arise the need of new software, which enables to execute the geodetic works in new technical conditions. Authors had an opportunity to participate in mentioned undertakings, also under the aegis of GUGiK, by creation of methods, algorithms and necessary software tools. In this way the automatic postprocessing module (APPS) in POZGEO service, a part of ASG-EUPOS system came into being. It is an entirely polish product which works in Trimble environment. Universal software for transformation between PLETRF89, PL-ETRF2000, PULKOWO’42 reference systems as well as defined coordinate systems was created (TRANSPOL v. 2.06) and published as open product. An essential functional element of the program is the quasi-geoid model PL-geoid-2011, which has been elaborated by adjustment (calibration) of the global quasi-geoid model EGM2008 to 570 geodetic points (satellite-leveling points). Those and other studies are briefly described in this paper.
    Źródło:
    Reports on Geodesy and Geoinformatics; 2016, 100; 79-100
    2391-8365
    2391-8152
    Pojawia się w:
    Reports on Geodesy and Geoinformatics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Effect of Feature Extraction on Automatic Sleep Stage Classification by Artificial Neural Network
    Autorzy:
    Prucnal, M.
    Polak, A. G.
    Powiązania:
    https://bibliotekanauki.pl/articles/220360.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    sleep stage classification
    EEG signal
    power spectral density
    discrete wavelet transform
    empirical mode decomposition
    artificial neural network
    Opis:
    EEG signal-based sleep stage classification facilitates an initial diagnosis of sleep disorders. The aim of this study was to compare the efficiency of three methods for feature extraction: power spectral density (PSD), discrete wavelet transform (DWT) and empirical mode decomposition (EMD) in the automatic classification of sleep stages by an artificial neural network (ANN). 13650 30-second EEG epochs from the PhysioNet database, representing five sleep stages (W, N1-N3 and REM), were transformed into feature vectors using the aforementioned methods and principal component analysis (PCA). Three feed-forward ANNs with the same optimal structure (12 input neurons, 23 + 22 neurons in two hidden layers and 5 output neurons) were trained using three sets of features, obtained with one of the compared methods each. Calculating PSD from EEG epochs in frequency sub-bands corresponding to the brain waves (81.1% accuracy for the testing set, comparing with 74.2% for DWT and 57.6% for EMD) appeared to be the most effective feature extraction method in the analysed problem.
    Źródło:
    Metrology and Measurement Systems; 2017, 24, 2; 229-240
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The Burden of Choice, the Complexity of the World and Its Reduction: the Game of Go/Weiqi as a Practice of “Empirical Metaphysics”
    Autorzy:
    Nowak, Andrzej Wojciech
    Powiązania:
    https://bibliotekanauki.pl/articles/2199831.pdf
    Data publikacji:
    2018
    Wydawca:
    Projekt Avant
    Tematy:
    games
    Go/Weiqi
    empirical metaphysics
    ontological imagination
    the actor-network theory (ANT)
    studies on science and technology (STS)
    Opis:
    The main aim of the text is to show how a game of Go (Weiqi, baduk, Igo) can serve as a model representation of the ontological-metaphysical aspect of the actor-network theory (ANT). An additional objective is to demonstrate in return that this ontological-metaphysical aspect of ANT represented on Go/Weiqi game model is able to highlight the key aspect of this theory—onto-methodological praxis.
    Źródło:
    Avant; 2018, 9, 3; 101-125
    2082-6710
    Pojawia się w:
    Avant
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Conformal and empirical transformation between the PL-ETRF89 and PL-ETRF2000 reference frames using the new adjustment of the former Polish I class triangulation network
    Autorzy:
    Kadaj, Roman
    Powiązania:
    https://bibliotekanauki.pl/articles/24523417.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    transformacja Helmerta
    siatka interpolacyjna
    kartografia
    European reference frames
    empirical transformation
    interpolation grid
    network adjustment
    3D Helmert transformation
    Opis:
    The European reference frame ETRF2000 was introduced on the territory of Poland on 1 July 2013, named PL-ETRF2000, as a result of the appropriate measurement campaign 2008-2011. The new PL-ETRF2000 reference frame has replaced the previously used PL-ETRF89 frame, which had more than 10 years of history in Poland until 2013, implemented in almost all geodetic and cartographic “products”, in geodetic networks, economic map systems and databases. The relationship of the new reference frame with the previously used PL-ETRF89 frame has become an important practical issue. Currently, all position services of the ASG-EUPOS (Active Geodetic Network – EUPOS) system use only the PL-ETRF2000 reference frame, which also results from the relevant legal and technical regulations. The relationships between the frames was considered in two aspects: “theoretical”, expressed by conformal (Helmert, 7-parameter) transformation, and “empirical”, based on an interpolation grid that allows to take into account local distortions of the PL-ETRF89 frame. The estimation of the parameters of the conformal transformation model was based on 330 points of the POLREF network, while to create an interpolation grid approximately 6500 points of the old triangulation network were additionally used, after new adjustment in PL-ETRF200 reference frame. Basic algorithms for the transformation between two frames and mapping systems are implemented in the new version of the TRANSPOL program, which is available on the web (www.gugik.gov.pl).
    Źródło:
    Geodesy and Cartography; 2021, 70, 2; art. no. e05
    2080-6736
    2300-2581
    Pojawia się w:
    Geodesy and Cartography
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Applying LCS to affective image classification in spatial - frequency domain
    Autorzy:
    Lee, P. -M.
    Hsiao, T.-C.
    Powiązania:
    https://bibliotekanauki.pl/articles/91808.pdf
    Data publikacji:
    2014
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    image classification
    pattern recognition
    Hilbert-Huang transform
    HHT
    empirical mode decomposition
    EMD
    Hilbert transform
    HT
    Extended Classifier Systems
    XCSs
    Area Under Curve
    AUC
    Radial-Basis Function Network
    RBF Network
    LCS
    Opis:
    Recent studies have utilizes color, texture, and composition information of images to achieve affective image classification. However, the features related to spatial-frequency domain that were proven to be useful for traditional pattern recognition have not been tested in this field yet. Furthermore, the experiments conducted by previous studies are not internationally-comparable due to the experimental paradigm adopted. In addition, contributed by recent advances in methodology, that are, Hilbert-Huang Transform (HHT) (i.e. Empirical Mode Decomposition (EMD) and Hilbert Transform (HT)), the resolution of frequency analysis has been improved. Hence, the goal of this research is to achieve the affective image-classification task by adopting a standard experimental paradigm introduces by psychologists in order to produce international-comparable and reproducible results; and also to explore the affective hidden patterns of images in the spatial-frequency domain. To accomplish these goals, multiple human-subject experiments were conducted in laboratory. Extended Classifier Systems (XCSs) was used for model building because the XCS has been applied to a wide range of classification tasks and proved to be competitive in pattern recognition. To exploit the information in the spatial-frequency domain, the traditional EMD has been extended to a two-dimensional version. To summarize, the model built by using the XCS achieves Area Under Curve (AUC) = 0.91 and accuracy rate over 86%. The result of the XCS was compared with other traditional machine-learning algorithms (e.g., Radial-Basis Function Network (RBF Network)) that are normally used for classification tasks. Contributed by proper selection of features for model building, user-independent findings were obtained. For example, it is found that the horizontal visual stimulations contribute more to the emotion elicitation than the vertical visual stimulation. The effect of hue, saturation, and brightness; is also presented.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2014, 4, 2; 99-123
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Tool wear condition monitoring in milling process based on data fusion enhanced long short-term memory network under different cutting conditions
    Autorzy:
    Zheng, Guoxiao
    Sun, Weifang
    Zhang, Hao
    Zhou, Yuqing
    Gao, Chen
    Powiązania:
    https://bibliotekanauki.pl/articles/2038054.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    tool wear condition monitoring
    empirical mode decomposition
    variational mode decomposition
    fourier synchro squeezed transform
    neighborhood component analysis
    long short-term memory network
    Opis:
    Tool wear condition monitoring (TCM) is essential for milling process to ensure the machining quality, and the long short-term memory network (LSTM) is a good choice for predicting tool wear value. However, the robustness of LSTM- based method is poor when cutting condition changes. A novel method based on data fusion enhanced LSTM is proposed to estimate tool wear value under different cutting conditions. Firstly, vibration time series signal collected from milling process are transformed to feature space through empirical mode decomposition, variational mode decomposition and fourier synchro squeezed transform. And then few feature series are selected by neighborhood component analysis to reduce dimension of the signal features. Finally, these selected feature series are input to train the bidirectional LSTM network and estimate tool wear value. Applications of the proposed method to milling TCM experiments demonstrate it outperforms significantly SVR- based and RNN- based methods under different cutting conditions.
    Źródło:
    Eksploatacja i Niezawodność; 2021, 23, 4; 612-618
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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