scholarly journals Color characteristic of inanimate objects in poetic formula of the Khanty people

2020 ◽  
Vol 10 (2) ◽  
pp. 271-281
Author(s):  
T. A. Moldanova ◽  
◽  
L. A. Andreeva ◽  
O. F. Khudobina ◽  
◽  
...  
Keyword(s):  
Author(s):  
П.А. ЧАЛДАЕВ ◽  
Е.Н. ФЕДОРОВА ◽  
А.Г. КАШАЕВ

Изучена возможность использования для производства винодельческой продукции винограда, выращиваемого в Самарской области. Исследованы два технических сорта красного винограда урожаев 2015–2016 гг. – Ливадийский черный и Мерло. Качество винограда соответствовало требованиям ГОСТ 31782–2012. Переработку винограда по красному способу вели в полупромышленных условиях. Брожение проводили на мезге с плавающей шапкой. Для сбраживания виноградной мезги использовали сухие французские винные дрожжи Sainte Georges S101. Температура бродящей мезги не превышала 28–30°С. Дображивание полученных виноматериалов и последующую их выдержку осуществляли при температуре (14 ± 1)°С. В результате получены сухие столовые виноматериалы. Показатели качества полученных виноматериалов удовлетворяют требованиям ГОСТ 32030–2013 по всем основным физико-химическим показателям качества и характеризуются достаточно высоким содержанием фенольных веществ. Виноматериалы имели насыщенный рубиновый цвет, характерные сортовые вкус и аромат. Полученные результаты подтверждают целесообразность проведения дальнейших исследований в области обоснования и разработки технологий получения винодельческой продукции в Самарском регионе. The possibility of use for production of wine-making production of the grapes which are grown up in the Samara region is studied. Two technical grades of red grapes of harvests of 2015–2016 Livadia black and Merlots are investigated. The quality of the grapes meets the requirements of GOST 31782–2012. Grapes processed by red method in semi-conditions. Fermentation was carried out on pulp with a floating cap. Dry wine yeast “Sainte Georges S101” (Fermentis, France) were used for fermentation of grape pulp. The temperature of the fermenting pulp did not exceed 28–30°C. After-fermentation of the received wine materials and the subsequent their endurance was carried out at a temperature of (14 ± 1)°C. Dry table wine materials are as a result received. The resulting wine materials meet the requirements of GOST 32030–2013 in all basic physical and chemical indicators of quality and characterized by a rather high content of phenolic substances. Wine materials had a rich ruby color, characteristic varietal taste and aroma. These results confirm the usefulness of further research in the field of study and the development of technologies for the production of wine production in the Samara region.


2020 ◽  
pp. 153-157
Author(s):  
Александр Семёнович Макаров ◽  
Наталия Александровна Шмигельская ◽  
Игорь Павлович Лутков ◽  
Виктория Алексеевна Максимовская ◽  
Надежда Станиславовна Аникина

Представлены результаты исследований физико-химических и органолептических показателей белых столовых виноматериалов урожаев 2015-2019 гг. Установлена зависимость цветовых характеристик от содержания полимерных форм фенольных веществ. Проведена дифференциация белых столовых виноматериалов по цветовой характеристике (от светло-соломенного до интенсивно-соломенного) с установлением диапазонов и средних значений основных и дополнительных показателей для каждой цветовой подгруппы. На основании статистической обработки экспериментальных данных предложен подход к характеристике особенностей окраски виноматериалов, включающий определение физико-химических показателей и расчет классификационных индексов, позволяющих определить предпочтительную цветовую характеристику. Получены формулы для расчета классификационных индексов для выбранных цветовых подгрупп в зависимости от интенсивности окраски. The results of study of physicochemical and organoleptic parameters of white table wine materials of 2015-2019 crop years were presented. The dependence of color characteristics on the content of polymer forms of phenolic substances was established. The differentiation of white table wine materials by color characteristics (from light straw to rich straw) was carried out with the establishment of ranges and average values of the main and additional parameters for every color subgroup. Based on the statistical processing of experimental data, we proposed an approach to characterize the distinctive features of the color of wine materials, including the determining of physicochemical parameters and calculation of classification indices, allowing to determine the preferred color characteristic. Formulas for calculating classification indices for selected color subgroups depending on the color intensity were obtained.


Author(s):  
Mario Iván Salas-Dominguez ◽  
Ismael Muñoz-Díaz

The objective of this work is to establish the reliability of the measurement system by attributes in the color characteristic for the galvanized parts as final product. Six operators were evaluated with 30 samples of galvanized metal parts cold and hot rolled in a proportion of 50% of accepted parts and 50% rejected by the quality staff of the Techengineering plant in the city of Aguascalientes, Aguascalientes, under a criterion of passes-does not pass. To carry out the study, the attribute agreement analysis tool of Minitab®16 was used. According to the Fleiss Kappa coefficient and confidence intervals generated in the report, it was established that the accuracy of the system is valued between excellent and good and the accuracy as good marginally, with this information it was possible to establish strategies to improve the measurement system.


2012 ◽  
Vol 62 (6) ◽  
pp. 19-37 ◽  
Author(s):  
In-Kyung Seo ◽  
Young-In Kim
Keyword(s):  

2017 ◽  
Vol 42 (6) ◽  
pp. 836-848
Author(s):  
Antal Nemcsics ◽  
Jenő Takács

2013 ◽  
Vol 756-759 ◽  
pp. 4103-4109
Author(s):  
Yu Fu ◽  
Xiang Long

When tracking a moving human target,the traditional particle filter algorithm based on color characteristic can't get accurate results in situations like complicated background or frequent brightness change.Due to the problem, this paper put forward a particle filter algorithm based on combination of color characteristics and shape features of the target.Firstly, fusing the above-mentioned two features into the particle filter frame to calculate the particle weights and achieve the human tracking goal through image sequences . The experimental results show that the algorithm can improve the traditional tracking algorithms based on single color feature limitations.And greatly improves the accuracy and effectiveness of the human tracking under complex background


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