درخت حوزه‌های تخصصی

The most important aspects of image processing are image enhancement. The visual form of an image can be enhanced by using image enhancement techniques for better human interpretation. In this research paper we discuss an   outline and analysis of commonly used image enhancement techniques using finger vein image or personal authentication. Also, experiments are carried out to compare performance of various types of filters for removal of noise from the noisy images through evaluation performance parameter such as mean square error (MSE), peak signal to noise ratio (PSNR) values and structural similarity (SSIM). It was found that application of max filter technique ensures an improved quality of the finger vein image. The mean filter is most advanced in de-noising the images. Mean filter is most efficient in eliminating the salt and pepper noise. From the experiments performed on finger vein image using SDUMLA-HMT database, it is proven that Weiner filters are outstanding for elimination of Gaussian Speckle and Poisson noises and thus, Weiner filter is found to be most appropriate and well-suited for eliminating nearly all types of noise.

Over the past few years, many organizations have come to believe that the brand of their products and services is one of their most valuable assets. Therefore, it must be said that the brand is an asset that has a significant part of the value of the property of institutions and organizations. In this research, the building brand equity (BBE) from the customer's perspective and brand market performance (BMP) have been investigated and identified, selected, eventually reached the operational stage, and then evaluated how the impacts and their relationship with each other resulted in the presentation of a model that the model has been tested in the cosmetics industry in Tehran. The statistical population of this study was all customers of cosmetic products in Tehran city in 2018 who were selected by random cluster sampling method. A sample of 550 customers from ten brands, which has about 80% of the market share, was selected. In this research, the obtained data were collected through a questionnaire as well as secondary information and then tested using structural equation modeling and focal correlation analysis. Finally, all proposed structures of the research were confirmed after analyzing the factor. According to the path analysis conducted at the customer level, only two hypotheses were not approved. At the brand level, all four hypotheses were confirmed by the focal correlation analysis. Based on the findings of the research, the proposed model was confirmed by the researcher and practical and research suggestions were submitted for managers and researchers.

The article is devoted to solving the problems of predicting the education of Ukrainian staff in the current COVID-2019 conditions in order to improve the efficiency of their work. Theoretical approaches regarding the characteristics of modeling and prediction of education have been studied, systematic and summarized. Factors that significantly complement the theory and methodology of the scientific provisions of the economy have been identified, taking into account the peculiarities of their work in the modern economic environment, structural changes, and new changes. The pros and cons of studying modeling approaches have been identified. The main features of structural change have been studied and it has been established that the modeling and forecasting of staff education has significant features.