Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "Osowski, S." wg kryterium: Wszystkie pola

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-20 z 20
    Tytuł:
    MLP and SVM classifiers for fault detection
    Klasyfikatory neuronowe MLP i SVM dla potrzeb diagnostyki
    Autorzy:
    Osowski, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/258282.pdf
    Data publikacji:
    2006
    Wydawca:
    Sieć Badawcza Łukasiewicz - Instytut Technologii Eksploatacji - Państwowy Instytut Badawczy
    Tematy:
    klasyfikatory neuronowe
    perceptron wielowarstwowy
    MLP
    sieć wektorów podtrzymujących
    SVM
    sztuczna inteligencja
    diagnostyka
    diagnostic
    neural classifier
    electrical circuits
    Opis:
    The paper presents a comparative analysis of two of the most important neural network classifiers: the multilayer perceptron (MLP) and Support Vector Machine (SVM) in application to diagnostic problems. The structure as well as learning algorithms of both networks have been presented and compared. The results of numerical experiments comparing the performance of both classifiers on the artificial and real life problems are presented and discussed.
    Praca przedstawia dwa rozwiązania klasyfikatorów neuronowych na potrzeby diagnostyki. Jednym z nich jest perceptron wielowarstwowy (ang. MultiLayer Perceptron - MLP), drugim sieć wektorów podtrzymujących (ang. Support Vector Machine (SVM). Przedstawiono struktury oraz podstawowe metody uczenia takich sieci. Działania obu klasyfikatorów sprawdzono i porównano na problemach testowych, zarówno typu syntetycznego, jak i problemie rzeczywistym rozpoznawania uszkodzeń elementów w rzeczywistym układzie filtru elektrycznego.
    Źródło:
    Problemy Eksploatacji; 2006, 2; 149-167
    1232-9312
    Pojawia się w:
    Problemy Eksploatacji
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Data mining methods for prediction of air pollution
    Autorzy:
    Siwek, K.
    Osowski, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/330775.pdf
    Data publikacji:
    2016
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    computational intelligence
    feature selection
    neural network
    random forest
    air pollution forecasting
    inteligencja obliczeniowa
    selekcja cech
    sieć neuronowa
    lasy losowe
    zanieczyszczenie powietrza
    Opis:
    The paper discusses methods of data mining for prediction of air pollution. Two tasks in such a problem are important: generation and selection of the prognostic features, and the final prognostic system of the pollution for the next day. An advanced set of features, created on the basis of the atmospheric parameters, is proposed. This set is subject to analysis and selection of the most important features from the prediction point of view. Two methods of feature selection are compared. One applies a genetic algorithm (a global approach), and the other—a linear method of stepwise fit (a locally optimized approach). On the basis of such analysis, two sets of the most predictive features are selected. These sets take part in prediction of the atmospheric pollutants PM10, SO2, NO2 and O3. Two approaches to prediction are compared. In the first one, the features selected are directly applied to the random forest (RF), which forms an ensemble of decision trees. In the second case, intermediate predictors built on the basis of neural networks (the multilayer perceptron, the radial basis function and the support vector machine) are used. They create an ensemble integrated into the final prognosis. The paper shows that preselection of the most important features, cooperating with an ensemble of predictors, allows increasing the forecasting accuracy of atmospheric pollution in a significant way.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2016, 26, 2; 467-478
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Mining Data of Noisy Signal Patterns in Recognition of Gasoline Bio-Based Additives using Electronic Nose
    Autorzy:
    Osowski, S.
    Siwek, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/220792.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    data mining
    electronic nose
    gasoline blends
    random forest
    support vector machine
    wavelet denoising
    Opis:
    The paper analyses the distorted data of an electronic nose in recognizing the gasoline bio-based additives. Different tools of data mining, such as the methods of data clustering, principal component analysis, wavelet transformation, support vector machine and random forest of decision trees are applied. A special stress is put on the robustness of signal processing systems to the noise distorting the registered sensor signals. A special denoising procedure based on application of discrete wavelet transformation has been proposed. This procedure enables to reduce the error rate of recognition in a significant way. The numerical results of experiments devoted to the recognition of different blends of gasoline have shown the superiority of support vector machine in a noisy environment of measurement.
    Źródło:
    Metrology and Measurement Systems; 2017, 24, 1; 27-44
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Data mining methods for gene selection on the basis of gene expression arrays
    Autorzy:
    Muszyński, M.
    Osowski, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/329803.pdf
    Data publikacji:
    2014
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    gene expression array
    gene ranking
    feature selection
    clusterization measures
    fusion
    SVM classification
    ekspresja genów
    selekcja cech
    klasyfikacja SVM
    Opis:
    The paper presents data mining methods applied to gene selection for recognition of a particular type of prostate cancer on the basis of gene expression arrays. Several chosen methods of gene selection, including the Fisher method, correlation of gene with a class, application of the support vector machine and statistical hypotheses, are compared on the basis of clustering measures. The results of applying these individual selection methods are combined together to identify the most often selected genes forming the required pattern, best associated with the cancerous cases. This resulting pattern of selected gene lists is treated as the input data to the classifier, performing the task of the final recognition of the patterns. The numerical results of the recognition of prostate cancer from normal (reference) cases using the selected genes and the support vector machine confirm the good performance of the proposed gene selection approach.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2014, 24, 3; 657-668
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Bagging and boosting techniques in prediction of particulate matters
    Autorzy:
    Triana, D.
    Osowski, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/202449.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    ensemble of predictors
    bagging
    boosting
    PM pollution
    Opis:
    The paper presents new ensemble solutions, which can forecast the average level of particulate matters PM10 and PM2.5 with increased accuracy. The proposed network is composed of weak predictors integrated into a final expert system. The members of the ensemble are built based on deep multilayer perceptron and decision tree and use bagging and boosting principle in elaborating common decisions. The numerical experiments have been carried out for prediction of daily average pollution of PM10 and PM2.5 for the next day. The results of experiments have shown, that bagging and boosting ensembles employing these weak predictors improve greatly the quality of results. The mean absolute errors have been reduced by more than 30% in the case of PM10 and 20% in the case of PM2.5 in comparison to individually acting predictors.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2020, 68, 5; 1207-1215
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Ensemble of data mining methods for gene ranking
    Autorzy:
    Wiliński, A.
    Osowski, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/201570.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    gene expression array
    feature selection
    gene ranking methods
    classification
    SVM
    Opis:
    The paper presents the ensemble of data mining methods for discovering the most important genes and gene sequences generated by the gene expression arrays, responsible for the recognition of a particular type of cancer. The analyzed methods include the correlation of the feature with a class, application of the statistical hypotheses, the Fisher measure of discrimination and application of the linear Support Vector Machine for characterization of the discrimination ability of the features. In the first step of ranking we apply each method individually, choosing the genes most often selected in the cross validation of the available data set. In the next step we combine the results of different selection methods together and once again choose the genes most frequently appearing in the selected sets. On the basis of this we form the final ranking of the genes. The most important genes form the input information delivered to the Support Vector Machine (SVM) classifier, responsible for the final recognition of tumor from non-tumor data. Different forms of checking the correctness of the proposed ranking procedure have been applied. The first one is relied on mapping the distribution of selected genes on the two-coordinate system formed by two most important principal components of the PCA transformation and applying the cluster quality measures. The other one depicts the results in the graphical form by presenting the gene expressions in the form of pixel intensity for the available data. The final confirmation of the quality of the proposed ranking method are the classification results of recognition of the cancer cases from the non-cancer (normal) ones, performed using the Gaussian kernel SVM. The results of selection of the most significant genes used by the SVM for recognition of the prostate cancer cases from normal cases have confirmed a good accuracy of results. The presented methodology is of potential use for practical application in bioinformatics.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2012, 60, 3; 461-470
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neuro-fuzzy TSK network for approximation of static and dynamic functions
    Autorzy:
    Linh, T.
    Osowski, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/205951.pdf
    Data publikacji:
    2002
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    algorytm uczenia się
    aproksymacja
    sieć neuronowo-rozmyta
    approximation
    learning algorithms
    neuro-fuzzy networks
    Opis:
    The paper presents the neuro-fuzzy network in application to the approximation of the static and dynamic functions. The network implements the Takagi-Sugeno inference rules. The learning algorithm is based on the hybrid approach, splitting the learning phase into two stages : the adaptation of the linear output weights using the SVD algorithm and the conventional steepest descent backpropagation rule in application to the adaptation of the nonlinear parameters of the membership functions. The new approach to the generation of the inference rules, based on the fuzzy self-organization is proposed and the algorithm of automatic determination of the number of these rules has been also implemented. The method has been applied for the off-line modelling of static nonlinear relations and on-line simulation of the dynamic systems.
    Źródło:
    Control and Cybernetics; 2002, 31, 2; 309-326
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Local dynamic integration of ensemble in prediction of time series
    Autorzy:
    Osowski, S.
    Siwek, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/201557.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    neural networks
    ensemble of predictors
    dynamic integration
    time series prediction
    sieci neuronowe
    zespół predyktorów
    dynamiczna integracja
    Opis:
    The paper presents local dynamic approach to integration of an ensemble of predictors. The classical fusing of many predictor results takes into account all units and takes the weighted average of the results of all units forming the ensemble. This paper proposes different approach. The prediction of time series for the next day is done here by only one member of an ensemble, which was the best in the learning stage for the input vector, closest to the input data actually applied. Thanks to such arrangement we avoid the situation in which the worst unit reduces the accuracy of the whole ensemble. This way we obtain an increased level of statistical forecasting accuracy, since each task is performed by the best suited predictor. Moreover, such arrangement of integration allows for using units of very different quality without decreasing the quality of final prediction. The numerical experiments performed for forecasting the next input, the average PM10 pollution and forecasting the 24-element vector of hourly load of the power system have confirmed the superiority of the presented approach. All quality measures of forecast have been significantly improved.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2019, 67, 3; 517-525
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Ensemble neural network approach for accurate load forecasting in a power system
    Autorzy:
    Siwek, K.
    Osowski, S.
    Szupiluk, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/907659.pdf
    Data publikacji:
    2009
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sieć neuronowa
    ślepa separacja sygnałów
    prognozowanie obciążenia
    neural network
    blind source separation
    ensemble of predictors
    load forecasting
    Opis:
    The paper presents an improved method for 1-24 hours load forecasting in the power system, integrating and combining different neural forecasting results by an ensemble system. We will integrate the results of partial predictions made by three solutions, out of which one relies on a multilayer perceptron and two others on self-organizing networks of the competitive type. As the expert system we will apply different integration methods: simple averaging, SVD based weighted averaging, principal component analysis and blind source separation. The results of numerical experiments, concerning forecasting the hourly load for the next 24 hours of the Polish power system, will be presented and discussed. We will compare the performance of different ensemble methods on the basis of the mean absolute percentage error, mean squared error and maximum percentage error. They show a significant improvement of the proposed ensemble method in comparison to the individual results of prediction. The comparison of our work with the results of other papers for the same data proves the superiority of our approach.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2009, 19, 2; 303-315
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Computerised system for fault diagnosis of the rotor bars of squirrel-cage induction motor
    Komputerowy system diagnostyczny uszkodzeń prętów klatki maszyny indukcyjnej
    Autorzy:
    Osowski, S.
    Kurek, J.
    Siwek, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/257946.pdf
    Data publikacji:
    2010
    Wydawca:
    Sieć Badawcza Łukasiewicz - Instytut Technologii Eksploatacji - Państwowy Instytut Badawczy
    Tematy:
    klatkowa maszyna indukcyjna
    wykrywanie uszkodzeń
    pręt
    maszyna wektorów nośnych
    przetwarzanie sygnału
    squirrel-cage induction motor
    bar fault detection
    support vector machine (SVM)
    signal processing
    Opis:
    The paper presents the computerised system for the diagnosis of the rotor bars of an induction electrical motor. The solution relies on the processing of the measured stator current and application of the Support Vector Machine as the classifier. The important point is the generation of the diagnostic features on the basis of which the SVM classifier undertakes its decision whether or not the bars are faulty. The most important problem is concerned with the generation of the diagnostic features, on the basis of which the recognition of the state of the rotor bars is done. In our approach, we use the spectral information of the stator current, limited to a strictly specified region. The selected features form the input vector applied to the single class Support Vector Machine, responsible for recognition of the fault. The results of the numerical experiments are presented and discussed in the paper.
    Praca przedstawia skomputeryzowany automatyczny system diagnostyczny do wykrywania uszkodzeń prętów maszyny indukcyjnej. Rozwiązanie jest typu bezinwazyjnego i może być zastosowane do maszyny w ruchu. Sygnały diagnostyczne generowane są na podstawie zarejestrowanych sygnałów prądu statora. W aplikacji wykorzystano jednoklasową sieć SVM (ang. Support Vector Machine) pracującą jako klasyfikator. Jednym z najistotniejszych problemów rozwiązanych w tym zadaniu jest generacja i selekcja odpowiednich cech diagnostycznych, na podstawie których klasyfikator dokonuje rozpoznania stanu prętów. Zaproponowano cechy bazujące na charakterystyce spektralnej prądu statora, ograniczonej do wybranego zakresu częstotliwości związanego z poślizgiem maszyny. System zbudowany w ramach projektu jest w pełni zautomatyzowany, poczynając od akwizycji sygnałów, poprzez ich przetwarzanie wstępne, aż po końcowy werdykt (pręty uszkodzone bądź nieuszkodzone).
    Źródło:
    Problemy Eksploatacji; 2010, 4; 135-151
    1232-9312
    Pojawia się w:
    Problemy Eksploatacji
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Modified neuro-fuzzy TSK network and its application in electronic nose
    Autorzy:
    Osowski, S.
    Brudzewski, K.
    Tran-Hoai, L.
    Powiązania:
    https://bibliotekanauki.pl/articles/201226.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    neuro-fuzzy TSK networks
    fuzzy clusterization
    regression
    classification
    Opis:
    The paper develops the modified structure of the Takagi-Sugeno-Kang neuro-fuzzy network with a theoretical basis for its adaptation. The simplified structure follows from the basic theoretical considerations concerning the way of creating the inference rules. The important point of this solution is the application of the fuzzy clustering algorithm to the input data. The efficiency of the proposed solution has been checked on the examples of regression and classification problems concerning the electronic nose.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2013, 61, 3; 675-680
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Differential electronic nose in on-line dynamic measurements
    Autorzy:
    Osowski, S.
    Siwek, K.
    Grzywacz, T.
    Brudzewski, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/221848.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    electronic nose
    differential system
    volatile recognition
    Opis:
    The paper presents application of differential electronic nose in the dynamic (on-line) volatile measurement. First we compare the classical nose employing only one sensor array and its extension in the differential form containing two sensor arrays working in differential mode. We show that differential nose performs better at changing environmental conditions, especially the temperature, and well performs in the dynamic mode of operation. We show its application in recognition of different brands of tobacco.
    Źródło:
    Metrology and Measurement Systems; 2014, 21, 4; 649-662
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Deep learning: theory and practice
    Autorzy:
    Cichocki, A.
    Poggio, T.
    Osowski, S.
    Lempitsky, V.
    Powiązania:
    https://bibliotekanauki.pl/articles/202346.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    deep learning
    networks
    theory
    practice
    uczenie głębokie
    sieci
    teoria
    praktyka
    Opis:
    This Special Section of the Bulletin of the Polish Academy of Sciences on Technical Sciences is devoted to theoretical aspects of deep machine learning as well as practical applications in some areas of signal and image processing, particularly in bioengineering.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 6; 757-759
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Deep learning versus classical neural approach to mammogram recognition
    Autorzy:
    Kurek, J.
    Świderski, B.
    Osowski, S.
    Kruk, M.
    Barhoumi, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/200919.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    convolutional neural networks
    breast cancer diagnosis
    mammogram recognition
    diagnostic features
    splotowe sieci neuronowe
    diagnostyka raka piersi
    rozpoznawanie
    mammografia
    cechy diagnostyczne
    Opis:
    Automatic recognition of mammographic images in breast cancer is a complex issue due to the confusing appearance of some perfectly normal tissues which look like masses. The existing computer-aided systems suffer from non-satisfactory accuracy of cancer detection. This paper addresses this problem and proposes two alternative techniques of mammogram recognition: the application of a variety of methods for definition of numerical image descriptors in combination with an efficient SVM classifier (so-called classical approach) and application of deep learning in the form of convolutional neural networks, enhanced with additional transformations of input mammographic images. The key point of the first approach is defining the proper numerical image descriptors and selecting the set which is the most class discriminative. To achieve better performance of the classifier, many image descriptors were defined by means of applying different characterization of the images: Hilbert curve representation, Kolmogorov-Smirnov statistics, the maximum subregion principle, percolation theory, fractal texture descriptors as well as application of wavelet and wavelet packets. Thanks to them, better description of the basic image properties has been obtained. In the case of deep learning, the features are automatically extracted as part of convolutional neural network learning. To get better quality of results, additional representations of mammograms, in the form of nonnegative matrix factorization and the self-similarity principle, have been proposed. The methods applied were evaluated based on a large database composed of 10,168 regions of interest in mammographic images taken from the DDSM database. Experimental results prove the advantage of deep learning over traditional approach to image recognition. Our best average accuracy in recognizing abnormal cases (malignant plus benign versus healthy) was 85.83%, with sensitivity of 82.82%, specificity of 86.59% and AUC = 0.919. These results are among the best for this massive database.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 6; 831-840
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Thresholding techniques for segmentation of atherosclerotic plaque and lumen areas in vascular arteries
    Autorzy:
    Markiewicz, T.
    Dziekiewicz, M.
    Osowski, S.
    Maruszyński, M.
    Kozłowski, W.
    Bogusławska-Walecka, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/201734.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    image processing
    thresholding methods
    computed tomography
    vascular image parameterization
    przetwarzanie obrazu
    metody progowania
    tomografia komputerowa
    Opis:
    The paper develops the automatic methods of segmentation of the blood vessel area in the images of the multi-slice computed tomography, allowing to separate the lumen from the atherosclerotic plaque areas. The solution is based on the application of different implementations of thresholding, including between class variance in a bimodal mode, Gaussian mixture modeling, clustering technique, polynomial and multilayer perceptron approximations. These methods are compared with many examples of arteries of different percentage of the plaque occupancy in the iliac and femoral arteries. The numerical results of segmentation have been verified by the medical experts and prove its usefulness in medical practice. The presented system can find application in an automatic evaluation of the atherosclerosis progression/regression of patients on the basis of sequence of Computed Tomography slice images.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2015, 63, 1; 269-280
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Developing automatic recognition system of drill wear in standard laminated chipboard drilling process
    Autorzy:
    Kurek, J.
    Kruk, M.
    Osowski, S.
    Hoser, P.
    Wieczorek, G.
    Jegorowa, A.
    Górski, J.
    Wilkowski, J.
    Śmietańska, K.
    Kossakowska, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/200766.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    diagnostic expert systems
    neural networks
    wavelet packets
    wear monitoring
    diagnostyczny system ekspercki
    sieci neuronowe
    pakiety falkowe
    monitorowanie zużycia
    Opis:
    The paper presents an automatic approach to recognition of the drill condition in a standard laminated chipboard drilling process. The state of the drill is classified into two classes: “useful” (sharp enough) and “useless” (worn out). The case “useless” indicates symptoms of excessive drill wear, unsatisfactory from the point of view of furniture processing quality. On the other hand the “useful” state identifies tools which are still able to drill holes acceptable due to the required processing quality. The main problem in this task is to choose an appropriate set of diagnostic features (variables), based on which the recognition of drill state (“useful” versus “useless”) can be made. The features have been generated based on 5 registered signals: feed force, cutting torque, noise, vibration and acoustic emission. Different statistical parameters describing these signals and also their Fourier and wavelet representations have been used for defining the features. Sequential feature selection is applied to detect the most class discriminative set of features. The final step of recognition is done by using three types of classifiers, including support vector machine, ensemble of decision trees and random forest. Six standard drills of 12 mm diameter with tungsten carbide tips were used in experiments. The results have confirmed good quality of the proposed diagnostic system.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2016, 64, 3; 633-640
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Podwórkowa przekąska. Gwarowe i potoczne nazwy tasznika pospolitego
    An outdoor snack. Polish dialectal and colloquial names of shepherd’s purse (Capsella bursa-pastoris)
    Autorzy:
    Osowski, Błażej
    Powiązania:
    https://bibliotekanauki.pl/articles/2147009.pdf
    Data publikacji:
    2022-02
    Wydawca:
    Towarzystwo Kultury Języka
    Tematy:
    dialects
    colloquial language
    Polish
    plant names
    shepherd’s purse (Capsella bursa-pastoris)
    Opis:
    Shepherd’s purse is a common weed in Poland. Its various colloquial and dialectal names can be found in the literature dedicated to herbalism, yet there is no linguistic study on this subject. This issue is discussed in this paper. Using an online survey, the contemporary Polish names of the plant have been collected. The material is composed of 33 names analysed in terms of classifi cation into variants of Polish, geographical distribution, semantic motivation. A unit used within a limited geographical area is chleb babajagi, with its centre in Greater Poland. The names chlebek świętojański, Boży chlebek, babi chlebek, chleb, chlebek, chlebki are colloquial in turn.
    Źródło:
    Poradnik Językowy; 2022, 791, 2; 103-112
    0551-5343
    Pojawia się w:
    Poradnik Językowy
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The penetration of topically applied ointment containing hyaluronic acid in rabbit tissues
    Autorzy:
    Birkenfeld, B.
    Parafiniuk, M.
    Bielecka-Grzela, S.
    Klimowicz, A.
    Piwowarska-Bilska, H.
    Mikolajczak, R.
    Listewnik, M.H.
    Kurzejamska-Parafiniuk, M.
    Osowski, A.
    Byszewska-Szpocinska, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/30258.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Opis:
    The properties of hyaluronic acid used for treatment of acute and chronic joint disease are known for many years and this compound is widely used both in humans and animals. To obtain a therapeutic effect of a certain drug, the appropriate concentration in the target organ or tissue is important. The application of labeled compounds is one of the frequently applied techniques to estimate drug penetration into the skin and other body tissues or organs. The aim of the study was to evaluate the penetration of hyaluronic acid labeled with I-131 through the skin and its distribution within the knee joint and other internal organs in rabbits after a topical application of an ointment containing hyaluronic acid.The experiment was performed on 22 albino rabbits divided into control and examined groups. Fifteen rabbits were exposed to the multicomponent ointment containing hyaluronic acid labeled with I-131. Time of exposure was 48 hours. Hyaluronate penetrated to a high degree into the examined tissues. No significant differences in terms of leg tissue activity were observed between a leg tissue exposed to labeled ointment and that unexposed, suggesting that after topical administration, the active component of the ointment is delivered to the joint via the blood stream. Hyaluronate applied topically penetrates through the skin into the rabbit tissues and organs and into the joint fluid of both legs (exposed and not exposed). This route of administration seems to be useful for this drug delivery and allows to avoid unnecessary side effects.
    Źródło:
    Polish Journal of Veterinary Sciences; 2011, 14, 4
    1505-1773
    Pojawia się w:
    Polish Journal of Veterinary Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    O statusie i zasięgu gwary w osiemnastowiecznej Polsce (na przykładzie nazw orczyka w wielkopolskich inwentarzach dóbr szlacheckich)
    About the status and scope of the dialect in 18th century Poland (the case of whippletree’s names in stock lists of the nobility from Greater Poland)
    Autorzy:
    Osowski, Błażej
    Powiązania:
    https://bibliotekanauki.pl/articles/594090.pdf
    Data publikacji:
    2017
    Wydawca:
    Łódzkie Towarzystwo Naukowe
    Tematy:
    dialect
    Greater Poland’s dialect
    the history of the Polish language
    names of whippletree
    language and dialect’s status
    18th century
    gwara
    gwary wielkopolskie
    historia języka polskiego
    nazwy orczyka
    status języka i gwary
    wiek XVIII
    Opis:
    The paper shows the social status of dialects in the eighteenth-century Polish society. The first part of article contains theoretical attentions: findings of researchers and the opinions of witnesses era. It turns out that social scope of dialects was wider and not limited only to the peasants. The second part is an analysis of the names of whippletree. I used material from stock lists of the nobility from the second half of the eighteenth century from Wielkopolska, showing the presence of distinctive and regional vocabulary.
    Artykuł podejmuje temat statusu społecznego gwary w XVIII-wiecznym społeczeństwie polskim. Składa się z dwóch części. Pierwsza zawiera uwagi teoretyczne: ustalenia badaczy oraz opinie świadków epoki. Okazuje się, że dawniej zasięg społeczny gwary był szerszy i nie ograniczał się tylko do chłopów. Druga część to analiza nazw orczyka na jednego, dwa i trzy konie. Wykorzystano materiał wielkopolskich inwentarzy dóbr szlacheckich z 2. połowy XVIII wieku, pokazując obecność w nich leksyki dyferencyjnej i regionalnej.
    Źródło:
    Rozprawy Komisji Językowej ŁTN; 2017, 64; 203-215
    0076-0390
    Pojawia się w:
    Rozprawy Komisji Językowej ŁTN
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Koncepcja Słownika języka i kultury Wielkopolski a seria Wielkopolskie Słowniki Regionalne
    The concept of Słownik języka i kultury Wielkopolski (Dictionary of Greater Poland’s language and culture) and the series Wielkopolskie Słowniki Regionalne (Greater Polish Regional Dictionaries)
    Autorzy:
    Osowski, Błażej
    Powiązania:
    https://bibliotekanauki.pl/articles/28765372.pdf
    Data publikacji:
    2023
    Wydawca:
    Towarzystwo Kultury Języka
    Tematy:
    dialekt wielkopolski
    leksykografia
    słownik
    Greater Poland dialect
    lexicography
    dictionary
    Opis:
    Dialekt wielkopolski jest jednym z najsłabiej opracowanych w Polsce pod względem leksykograficznym. Istnieją słowniki amatorskie oraz rozpoczęto wydawanie słowników tematycznych z poszczególnych części dialektu, brak jednak opracowania leksyki dotyczącego całej Wielkopolski właściwej. Publikacja tego typu będzie zatem wypełnieniem owej luki. Ponadto dzięki istnieniu słowników (lub pracom nad nimi) z innych regionów możliwe będą badania porównawcze oraz o charakterze ogólnogwarowym. Niniejszy tekst nie jest studium o charakterze materiałowym, analitycznym czy syntetycznym, lecz opracowaniem koncepcyjnym. Jego zadaniem jest przybliżenie pomysłu słownika ogólnowielkopolskiego.
    The Greater Polish dialect is one of the least developed ones in Poland in terms of lexicography. There are amateur dictionaries available and thematic dictionaries on individual parts of the dialect have been published, but there is no lexicographic study covering the entire Greater Poland proper. A publication of this type will therefore fill this gap. Moreover, the existence of dictionaries (or works on them) from other regions will enable comparative and general dialectal studies. This text is a conceptual rather than a material, analytical, or synthetic study. Its objective is to present the idea of a dictionary covering the whole Greater Poland.
    Źródło:
    Poradnik Językowy; 2023, 808, 9; 84-91
    0551-5343
    Pojawia się w:
    Poradnik Językowy
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-20 z 20

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies