Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
AGRIS logo UlrichsWeb logo DOAJ logo
Search by author's name Search by title
516 kb

IDENTIFICATION OF MECHANISMS OF REALIZATION OF GENETIC ALGORITHM OPERATORS IN EXPERT SYSTEMS OF PRODUCTION TYPE

abstract 0751201017 issue 75 pp. 200 – 212 27.01.2012 ru 1445
In this article the identification and the research of genetic algorithm key parameters of genetic schemes method and their influence on efficiency of optimum decisions search in expert systems of production type is conducted. The following parameters of genetic algorithm are considered: crossover operator, choice of parents pare, mutation operator, inversion operator
127 kb

IDENTIFICATION OF PROCESSES OF GAS PREPARATION FOR TRUNK TRANSPORTATION IN INTEGRATED QMS

abstract 0571003002 issue 57 pp. 10 – 22 30.03.2010 ru 3347
A sample of identification of technological processes, influencing ecological situation, has been shown on the example of major gas transporting enterprise
196 kb

IDENTIFICATION OF PYRICULARIAORIZA ECAV. PATHOGEN AND REVEALING EFFECTIVE RESISTANCE GENES IN RICE GROWING DISTRICTS OF THE KRASNODAR REGION

abstract 1541910005 issue 154 pp. 34 – 44 30.12.2019 ru 248
The article presents results of studies on the intraspecific structure of the population of blast causative agent using sets of tester varieties from International Rice Research Institute - IRRI. The differentiation of the fungus population on tester varieties is the most progressive, since it allows one to determine the virulence genotypes of races of pathogens and identify the resistance genes of rice plants effective for them. The work has studied the diversity of blast causative agent in released rice varieties by morphological and cultural traits. Currently, in the world, the resistance of rice plants to blast is becoming one of the important indicators of the competitiveness of varieties. The basis for the successful rice breeding for resistance to blast is the availability of source material with a fairly wide spectrum and a high level of resistance. Resistance donors are selected based on the identification of genes that control this trait in rice
1305 kb

IDENTIFICATION OF QUALITY MANAGEMENT RESOURCES COMPLEX FOR CONSTRUCTION PRODUCTS IN SMALL BUSINESSES

abstract 0721108013 issue 72 pp. 160 – 169 30.10.2011 ru 1837
The identification of quality management resources for products of small construction businesses has been made, taking into consideration business processes and relations with competitive field
157 kb

IDENTIFICATION OF RELATED QUALITY CHARACTERISTICS OF RICE GRAINS OF VARIOUS GENETIC FORMS FOR ADEQUATE APPLICATION OF REGRESSION MODELS

abstract 1041410048 issue 104 pp. 655 – 665 30.12.2014 ru 1137
In this article the results of the research of quality characteristics of Russian and foreign rice varietieswere observed. A possibility of using the data in characterizing germplasm from the collection was discussed
122 kb

IDENTIFICATION OF RISQUES COMPLEX FOR CONSTRUCTION PRODUCTS IN SMALL BUSINESSES

abstract 0731109032 issue 73 pp. 347 – 355 30.11.2011 ru 1827
The identification of risks connected with quality management for products of small construction businesses has been made, taking into consideration the business processes and relations with competitive field
144 kb

IDENTIFICATION OF RUSSIAN PEOPLE’S CONCEPTION IN THE BLACK-HUNDRED’S IDEOLOGY

abstract 0621008018 issue 62 pp. 218 – 231 28.10.2010 ru 2179
The article covers problems connected with identification of Russian people’s conception in Black-Hundred’s ideology. Starting from conservative foundation of extreme-right doctrine, the Black Hundred determined the belonging to the Russian people not by the unity of ethnic origin, but by acceptance of basic values of Russian civilization - Orthodoxy, autocracy, nationality. This approach caused international nature of the right-monarchical movement. Stated criterions gave grounds to detach the Black Hundred and nationalists
740 kb

IDENTIFICATION OF S2 AND S3 ALLELES OF SELF-INCOMPATIBILITY GENE IN CRAB APPLE AND ADVANCED BREEDING SELECTIONS

abstract 1321708084 issue 132 pp. 1076 – 1085 31.10.2017 ru 443
Industrial horticulture assumes the most effective use of the potential of varieties. One of the key factors determining the yield of garden plantings is the effectiveness of pollination. To obtain the maximum yield, it is necessary to ensure maximum pollination during the flowering period. For this reason, much attention has been paid to the selection of pollinators. Crab-apple forms are promising for use as pollinators, so this work was aimed at identifying the most common alleles of the self-incompatibility gene in the crab-forms using the molecular genetic method of analysis. The object of the study was 29 apple-tree creams and 3 elite selection forms. They carried out the molecular genetic identification of alleles S2 and S10, which are among the most common apple trees in the world gene pool. Allele S2 was identified in 16 samples (14 forms and 2 elite selection forms), while S10 allele in one sample (elite form 12/2-20 (24-28)). Data on the allelic composition of the S gene in the samples studied are of value for the formation of a genetic passport on the compatibility of the studied samples of apple with modern industrial varieties
9205 kb

IDENTIFICATION OF TYPES AND MODELS OF AIRCRAFT USING ASC-ANALYSIS OF THEIR SILHOUETTES (CONTOURS) (GENERALIZATION, ABSTRACTION, CLASSIFICATION AND IDENTIFICATION)

abstract 1141510099 issue 114 pp. 1319 – 1370 30.12.2015 ru 677
The article discusses the application of automated system-cognitive analysis (ASC-analysis), its mathematical model which is system theory of information and its software tool, which is intellectual system called "Eidos" for solving problems related to identification of types and models of aircraft by their silhouettes on the ground, to be more precise, their external contours: 1) digitization of scanned images of aircraft and creation of their mathematical models; 2) formation of mathematical models of specific aircraft with the use of the information theory; 3) modeling of the generalized images of various aircraft types and models and their graphic visualization; 4) comparing an image of a particular plane with generalized images of various aircraft types and models, and quantifying the degree of similarities and differences between them, i.e., the identification of the type and model of airplane by its silhouette (contour) on the ground; 5) quantification of the similarities and differences of the generalized images of the planes with each other, i.e., clusterconstructive analysis of generalized images of various aircraft types and models. The article gives a new approach to digitizing images of aircraft, based on the use of the polar coordinate system, the center of gravity of the image and its external contour. Before digitizing images, we may use their transformation, standardizing the position of the images, their sizes (resolution, distance) and the angle of rotation (angle) in three dimensions. Therefore, the results of digitization and ASC-analysis of the images can be invariant (independent) relative to their position, dimensions and turns. The shape of the contour of a particular aircraft is considered as a noise information on the type and model of aircraft, including information about the true shape of the aircraft type and its model (clean signal) and noise, which distort the real shape, due to noise influences, both of the means of countering detection and identification, and environment. Software tool of ASC-analysis, i.e. Eidos intellectual system, provides identification of the type and the model of airplane by its silhouette, as it was shown in a simplified numerical example
3138 kb

IDENTIFICATION OF VARIETIES OF IRISES BY THEIR APPEARANCE WITH THE USE OF ASC-ANALYSIS AND "EIDOS" INTELLECTUAL SYSTEM (REPOSITORY UCI DATA)

abstract 1231609121 issue 123 pp. 1801 – 1835 30.11.2016 ru 425
The creation of artificial intelligence systems is one of important and perspective directions of development of modern information technology. Since there are many alternatives of mathematical models of systems of artificial intelligence, there is a need to assess the quality of these models, which requires their comparison. To achieve this goal we require free access to the source data and methodology, which allows to convert these data into a form needed for processing in artificial intelligence. A good choice for these purposes is a database of test problems for systems of artificial intelligence of repository of UCI. In this work we used the database "Iris Data Set" from the bank's original task of artificial intelligence – UCI repository, which solved the problem of formalization of the subject area (development of classification and descriptive dials and graduations and the encoding of the source data, resulting training sample, essentially representing a normalized source data), synthesis and verification statistical and system-cognitive models of the subject area, identify colors with classes, which serve varieties of Iris, as well as studies of the subject area by studying its model. To solve these problems we used the automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit – intellectual system called "Eidos"
ßíäåêñ.Ìåòðèêà