The object of the study was the sweet pomace of red
varieties of grapes grown in village Taman Temryuk
district of the Krasnodar region. By grinding in a
laboratory mill and drying in a drying oven at a
temperature of not above 60 ºC, a powder is obtained
from the mash. Its quantitative chemical analysis has
been carried out. The mobile forms of metals and the
total content of metals are determined. The content of
mercury, lead, arsenic does not exceed the permissible
levels of the maximum content of toxic elements in
flour confectionery products. The influence of powder
from grape pomace on the quality of the finished
product and on the properties of the pastry test was
studied, as the control sample was chosen the recipe
for the sugar cookies "Carrot". A part of the flour was
replaced with grape-dried powder in amounts of 1 %, 2
%, 5 % of the mass of wheat flour of the highest grade
in the test. The recipe of sugar cookies with the
addition of powder from grape pomace and without,
calculated on 200 g of finished product, and
organoleptic parameters of the finished biscuit is
given. It is established that the use of grape-dried
powder allows to increase the mass fraction of dry substances and to reduce the mass fraction of sugar in
confectionery products, as well as to enrich them with
mineral substances, microelements, which are
necessary for normal functioning of the organism.
Biscuits with the addition of powder from grape
pomace are a good source of ballast substances
reducing caloric content, which contributes to the
removal of harmful substances from the body:
cholesterol, heavy metal salts, etc
In the article we have given theoretical substantiation and proposed the innovation technologies of the complex tomato raw material processing with the use of physical, physicochemical and biochemical methods of action on the tomato raw material, the semi finished products, such as the action of electromagnetic fields and super high frequencies radiations, ultrasound treatment and CO2- extraction
Special aspects of grain heap and corn cobs trapping
by modern mechanisms and plants with photoelements
have been considered, also the main ways of their
functional developing are disclosed
The article deals with the issues of comparing the terms of ACS and IS with reference to automation in agriculture. In the technical literature, at conferences, in educational disciplines of higher education institutions, such terms as: information systems (IS), information technologies (IT), automated control systems (ACS) are often encountered. These terms are widely applied to the relevant objects in the subject areas under consideration. The area of coverage of the objects using these terms is very wide and in each case the definition of the applied term is either not specified at all considered self-explanatory, or the term is defined with various levels of detalization. In the latter case, the thoughtful researcher falls into some confusion or generally tries not to touch upon this question. In the article, on the basis of a review of known literary sources, it is shown which concepts are denoted by these terms when considering automation issues in agriculture. The subject of the study is the use of the terms IT, IS, ACS in works on automation in agriculture. The subject of the study is questions of comparison of the terms ACS and IS. The aim of the study is to indicate that automated IS is a more general concept than ACS
In the article we have proposed a possibility of using whey to reduce the residual content of sodium nitrite in technology of boiled sausages
In the article, the way to solve the problem of use of energy of a waste waterway for the purpose of reception of the additional electric power, taking into account ecological factors, is offered. The offered way consists in application of the developed design of hydroelectric power station
Car license plates recognition problem is one of the
typical tasks of computer vision. Video surveillance
software usually provides license plates recognition
function. Meanwhile, there are many approaches to
solve this problem, where template-based methods are
the most common. Such methods providing predictable
and short enough execution time, and little percent
of mistakes. However, such methods are far less effective
in case there is a need to recognize car’s license
plate, which may be located in unpredictable place,
typed in undefined font and on non-standard background,
or without strict formatting. For example,
USA car license plates. One of the methods to increase
effectiveness and quality of such license plates recognition
is to use neural networks. It is assumed, that
neural networks usage can significantly increase
recognition quality. Nevertheless, neural networks usage
entails difficulties of it’s training, and often becomes
less efficient as template-based methods usage.
This article discusses probability of usage of convolutional
neural network, which was trained using MNIST
(Mixed National Institute of Standards and Technology)
database. This article is a review of usage of templates
and neural networks for car’s license plate
recognition in terms of quality, performance and complexity
of the usage
This article presents an algorithm based on the discrete
wavelet transform for the analysis of current root mean
square (RMS) value and total harmonic distortion
(THD) in power systems. Power quality indices play
an important role in case of non-stationary distorted
waveforms, where neither a frequency-domain-based
approach using fast Fourier transform tools nor a timedomain-based
approach using real time data give
satisfactory results. The algorithm proposed
decomposes the current waveforms into uniform
frequency bands corresponding to the odd harmonic
components of the signal. The proposed algorithm
overcomes the spectra leakage problem. Computer
simulations verified the effectiveness of the proposed
algorithm
This article utilizes wavelet analysis, a relatively new
mathematical tool, designed to develop an algorithm of
analysis for electrical transients in electric power
systems. Techniques, which are currently used, fall into
two main categories: time domain or the integral
transform domain. Both of the aforementioned categories
can be stressed when solving equations with a wide
spectrum or when a system of equations is subjected to a
nonstationary forcing function. One of the benefits of
wavelet analysis, however, is the ability to resolve
nonstationary nature signals easily. Based on the discrete
time domain approximation, the system components such
as resistor and inductor are modeled in discrete wavelet
domain for purpose of transient analysis. The method can
be implemented by any kind of orthogonal wavelet
transform. Computer simulations verified the
effectiveness of the proposed method. The proposed
algorithm can be implemented to calculate the shortcircuits
in electric power systems
In this article we have shown how to find sub-optimal neural networks using genetic algorithms