Automatic assessment of the quality of fruits and vegetables is a growing field of research in this modern era in order to enable faster processing of good quality foods. In this work, we have analyzed ten major colour variant features of two sets of oyster mushrooms in terms of histograms of each layer of the red-green-blue colourmap, hue-saturation-vital component colourmap, luminance-chrominance colourmap and the greyscale image. Besides, texture analysis has been carried out using entropy window filtering. Apart from that, five other minor features, such as mean, standard deviation, entropy, kurtosis and skewness of each of these layers, and four other greyscale features, such as contrast, correlation, energy and homogeneity are analyzed in this work. Two different freshness assessment models employing statistical methods like principal component analysis (PCA) and supervised learning algorithms such as artificial neural network (ANN) have been used here to investigate the different features of the mushroom images and classify the same into fresh and deteriorated classes. Analysis revealed that the ANN classifier outperforms the PCA threshold classifier with almost all the features. The highest classifier accuracy is obtained as 94.4% using the ANN model and 93.3% using the PCA threshold freshness detector. Most importantly, the use of smartphones ensures portability, as well as the possibility of widespread application of the proposed models. KeywordsOyster mushroom • Major and minor feature • Freshness class • Artificial neural network (ANN) • Food safety
The purpose of this paper is to develop guidelines for the formation and implementation of a decision-making mechanism for managing commercial real estate. As a result of the study, the current trends in the development of the real estate market are revealed, the methods and established practice of the activities of management companies are analyzed, the analysis of theoretical approaches to the management of commercial real estate is carried out. On the basis of theoretical and methodological principles and the specifics of the analyzed area of research, methodological recommendations are proposed for the formation of a mechanism for managing commercial real estate, including a method for assessing their investment attractiveness.
Омский государственный технический университет, г. Омск МЕТОДЫ ГОСУДАРСТВЕННОЙ ПОДДЕРЖКИ РЫНКА НЕДВИЖИМОСТИ И ИХ КЛАССИФИКАЦИЯГосударство оказывает поддержку рынку недвижимости не только в условиях экономического кризиса, но во всех фазах экономического цикла, так как наряду с антикризисным стимулированием строительной отрасли государство одновременно решает социальную задачу обеспечения населения жильем, а также способствует расширению банковского сектора за счет роста ипотечных кредитов и увеличивает капитализацию фондового рынка через эмиссию ипотечных ценных бумаг. Классификация методов государственной поддержки рынка недвижимости позволяет выявить соответствие того или иного метода фазе экономического цикла и, тем самым, повысить эффективность его практического использования.Ключевые слова: рынок недвижимости, государственная поддержка рынка недвижимости, субсидирование процентных ставок по ипотечным кредитам, классификация методов государственной поддержки рынка недвижимости, механизм финансирования рынка недвижимости, ипотечные ценные бумаги. KUZNETSOVA Olga Pavlovna,
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