Вибрані статті з наукових збірників

Постійне посилання на фондhttps://repositary.knuba.edu.ua/handle/987654321/27

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2018 - 20192

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Авторsearch.filters.applied.operator.equals: search.filters.author.Chen JieМістить файлиsearch.filters.applied.operator.equals: Так

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  • Документ
    Simulation modelling of competitiveness of Ukrainian higher educational institution in Zhejiang educational market
    (КНУБА, 2019) Chen Jie
    Management decision-making methodology on the basis of simulation modeling is proposed in the work. A competitiveness indicators model for higher education institutions is developed. Experiments scenarios with the model for estimating and predicting competitive advantages are proposed. A number of simple simulation experiments with different values of the input parameters were performed to solve the direct simulation problem. Inverse problem solution variants by means of calibration experiments of the model are presented. The results of experimental calculations of the competitive factors impact on the university’s position in the educational services market are obtained. The possibility of making management decisions on the basis of experimental data is also shown.
  • Документ
    Compare and analysis of detection algorithm of crop leaf area based on MATLAB software
    (КНУБА, 2018) Chen Jie
    Traditional edge detection operators belong to linear filtering methods. Mathematical morphology is a non-linear filtering method, which can maintain the basic shape characteristics of the image and is widely used in various fields of image processing. Only the edge detection operator or mathematical morphology processing can’t get ideal segmentation results. According to the results of edge operator detection, morphological filtering and mathematical morphological operation are carried out, and the edge information of plant leaves is extracted by repeated experiments with different structural elements. Based on MATLAB software, the image of plant leaf was analysed by the diffent mathod of Sobel, Prewitt, Canny, and Morphology. The result of Sobel mathod as the best one was chosen to be analysed by Denoising mathod. The last result was suitable for the image area algorithm.