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    Wyświetlanie 1-3 z 3
    Tytuł:
    Heat Conduction Analysis of a Hollow Sphere made of Three Different Layers of Materials
    Autorzy:
    Khan, S. M. Khaled
    Islam, Md. Mashrur
    Powiązania:
    https://bibliotekanauki.pl/articles/1062861.pdf
    Data publikacji:
    2019
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Heat transfer
    Material Science
    Naiver-Strokes
    Spherical Contour
    Opis:
    A systematic arrangement has been gotten for the transient issue of three-dimensional multilayer heat conduction in a circle with layers in the spiral course. The arrangement strategy can be connected to an empty circle or a strong circle made out of a few layers of different materials. By and large, the partition of factors connected to 3D round directions has interesting attributes because of the nearness of related Legendre works as the eigenfunctions. Additionally, an eigenvalue issues the azimuthal way likewise requires arrangement; once more, its properties are one of a kind inferable from periodicity the azimuthal way. In this way, broadening existing arrangements in 2D round directions to 3D circular directions isn't clear. In a round facilitate framework, one can explain a 3D transient multilayer heat conduction issue without the nearness of fanciful eigenvalues. A 2D tube shaped polar facilitate framework is the main other case in which such multidimensional issues can be tackled without the utilization of nonexistent eigenvalues. The nonappearance of nonexistent eigenvalues renders the arrangement philosophy fundamentally increasingly valuable for pragmatic applications. The strategy portrayed can be utilized for all the three kinds of limit conditions in the external and inward surfaces of the circle. The arrangement method is shown on an illustrative issue for which results are gotten.
    Źródło:
    World Scientific News; 2019, 127, 3; 248-259
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Study on the Pore and Fibre metric Characteristics of Natural Organic Polymer for Colour Degradation in Wastewater: Face-Centred Central Composite Design
    Autorzy:
    Obiora-Okafo, Ifeoma Amaoge
    Onukwuli, Okechukwu Dominic
    Powiązania:
    https://bibliotekanauki.pl/articles/1193490.pdf
    Data publikacji:
    2021
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Biebrich scarlet
    Coagulation-flocculation
    Face-centred central composite design
    Natural organic polymer
    Overlaid contour plot
    Vigna subterranean
    Opis:
    The use of natural organic polymer (NOP) coagulants in the removal of pollutants from industrial wastewater has been the subject of continuous research. The importance of applying Vigna subterranean coagulant (VSC) for colour removal from crystal Ponceau 6R dye was investigated in this study. The precursor's proximate analysis, structure, surface morphology, fibre metric, and pore size distribution were examined. The pH, coagulant dosage, dye concentration, and time were optimized using response surface methodology (RSM) and face-centred central composite design (FCCD). For the coagulant precursor, the proximate analysis gave high protein content of 18.15 %, the Fourier Infra-Red (FTIR) analysis confirmed the existence of O-H, N-H, and C=H, the SEM image revealed polymer rough surfaces, the most occurring pore size of 0.41 μm2, different fibre length between 2.11 μm -17.94 μm, and a compact net structure. As can be seen in the main effects plots, pH has the greatest impact on colour removal, followed by time. Coagulant dosages and dye concentration have less influence on the process. The colour removal efficiency obtained from the optimization analysis was 99.60% at process conditions of pH 2.11, coagulant dosage 293.32 mg/L, dye concentration 13.75 mg/L and time 533.3 min. The projected values were confirmed in the verification experiments, with a standard error of 2.10 %. Overlay contour plot established optimum areas where the predicted response variable is in an acceptable range (≥ 80%) with respect to optimum conditions. When compared to the main effect plots, the FCCD approach proves more appropriate for improving the process and yielding higher removal efficiency. As a result, protein extract from Vigna subterranean seed has the potential to be used as an effective coagulant for colour removals from industrial wastewaters.
    Źródło:
    World Scientific News; 2021, 159; 20-44
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Bacilli bacterial cell image analysis using active contour segmentation with SVM classifier
    Autorzy:
    Bannigidad, Parashuram
    Powiązania:
    https://bibliotekanauki.pl/articles/1062913.pdf
    Data publikacji:
    2019
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Active contour method
    Bacillus
    Bacillus subtilis
    Bacterial cell image analysis
    Cell classification
    Cocobacilli
    Diplobacilli
    Palisades
    SVM
    Segmentation
    Streptobacilli
    Opis:
    The main aim of the present study is to develop an automatic method to identify and classify the different cell types of bacilli bacterial cells in digital microscopic cell images using active contour method. Snakes, or active contours, are used widely in computer vision and machine learning applications, particularly to locate object boundaries. GLCM, HOG and LBP features are used to identify the arrangement of bacilli bacterial cells, namely, bacillus, cocobacilli, diplobacilli, palisades and streptobacilli using SVM classifier. The current methods rely on the subjective reading of profiles by a human expert based on the various manual staining methods. In this paper, it is proposed a method for bacilli bacterial cell classification by segmenting digital bacterial cell images using active contour model and extracting GLCM, HOG and LBP features. The experimental results proves that, the SVM classifier has yielded an overall accuracy of 97.2% with GLCM features, HOG features has yielded an accuracy of 74.8% and LBP features yielded 91.2% accuracy. The GLCM features with SVM classifier has got good classification results compared to HOG and LBP feature sets for bacilli bacteria cell types.
    Źródło:
    World Scientific News; 2019, 127, 3; 369-376
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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