Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
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Name

Samoylov Aleksey Nikolayevich

Scholastic degree

Academic rank

Honorary rank

Organization, job position

Ltd. "Taglesprom"
    Taganrog State University
   

Web site url

Email

Lexa_l_sam@mail.ru


Articles count: 9

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554 kb

DEVELOPMENT OF SCIENTIFICALLYEDUCATIONAL POTENTIAL OF THE UNIVERSITY ON THE BASIS OF REENGINEERING

abstract 1231609043 issue 123 pp. 640 – 649 30.11.2016 ru 1284
The subject of the article is a scientific and educational potential of a modern University. From the standpoint of the essential ontological approach, the author identifies the conditions for capacity building, discusses the complex of measures on increase of its capacity, and describes the conditions of its further diversification. The inductive-deductive method allows one to grasp the essence of innovative proposals for capacity development, which is the reengineering that is treated as an important factor of socio-economic development of modern society. Reengineering helps to actualize the partnerships, to reevaluate the social mission of the University, namely to improve the provision of scientific work force, strengthening competitiveness on the world market of knowledge. As an innovative technology reengineering contributing to the successful development of scientific-educational potential as a radical change of the information model, as a radical redesign of the critical processes in the system of classical education
177 kb

FINDING AND RANKING KNOWLEDGE ON THE SEMANTIC WEB

abstract 1231609041 issue 123 pp. 620 – 629 30.11.2016 ru 471
The basis of Semantic Web technology is the possibility of joint construction of ontology and the formation of the dictionary without centralized control. All the information and the knowledge encoded in the ontology as semantic web-terms and the semantic web-documents. Swoogle helps software agents and knowledge engineers find Semantic Web knowledge encoded in RDF and OWL documents on the Web. Navigating such a Semantic Web on the Web is difficult due to the paucity of explicit hyperlinks beyond the namespaces in URIrefs and the few interdocument links like rdfs:seeAlso and owl:imports. In order to solve this issue, this paper proposes a novel Semantic Web navigation model providing additional navigation paths through Swoogle’s search services such as the Ontology Dictionary. Using this model, we have developed algorithms for ranking of Semantic Web objects at three levels of granularity: documents, terms and RDF graphs. The article focuses on the ranking at the document level, based on a rational search model, which emits the agent's behavior when navigating at the document level, and ranking on level terms, the value of which is determined by the number of their references in all documents
116 kb

PROVISION OF INFORMATIONAL SECURITY IN COMPUTER NETWORK OF AN ENTERPRISE

abstract 0380804001 issue 38 pp. 1 – 7 29.04.2008 ru 3768
Means of information safety of a hardware-software complex of the computer network of an enterprise play an important role at the realization of the general strategy and tactics of the enterprise safety. Uninterrupted operation and stability of a program work and hardware maintenance, confidentiality of the personal information, a degree of protection against non-authorized access depend on competent realization of the accepted policy in the field of information safety for observance of commercial interests of an enterprise. Results of the problems analysis of information safety at use of information technologies are presented in this paper.
109 kb

REMOTE EDUCATION IN HIGHER EDUCATION INSTITUTION: EXPERIENCE ARCHITECTONICS IN SUBJECT FORMATION

abstract 0721108015 issue 72 pp. 179 – 187 30.10.2011 ru 1783
From synergetic approach positions, subject education hermeneutical meanings, experience and knowledge subjectification, psycho-educational aspects of individual socialization in higher education institution of remote education conditions are viewed in the article
140 kb

SEMANTIC SEARCH ENGINE BASED ON ONTOLOGY MAPPING

abstract 1331709014 issue 133 pp. 151 – 159 30.11.2017 ru 347
We live in a world of rapidly developing information technologies, where many organizations are related to each other, forming complex information networks. Therefore, storage, analysis and retrieval of information is a very complex and urgent task. In connection with the advent of search engines and communications, millions of people are engaged in the search and retrieval of information. Commercial search engines, such as Google, use keyword search based on logical queries. The main disadvantage of this search is that it returns a lot of irrelevant information, which leads to low accuracy. In this article, we focus on building a semantic search system based on the mapping of the ontological model. This includes various stages of development of ontology, the phase of indexing and information retrieval
202 kb

TEMPORAL HARMONIZATION IN PLANNING ACTIONS OF GROUPS OF OBJECTS IN REAL OPERATING TIME

abstract 1341710072 issue 134 pp. 895 – 904 29.12.2017 ru 322
The article considers problems of constructing a temporal processor in the planning and management of a multitude of objects using various temporal theories of representing temporal factors of perception of the external environment based on the phenomenon of human memory
148 kb

TO THE APPROACHES OF RECOGNITION AND IDENTIFICATION OF INDIVIDUALS WITH DIGITAL IMAGES IN THE TASK OF ENSURING PUBLIC SAFETY

abstract 1231609042 issue 123 pp. 630 – 639 30.11.2016 ru 333
One of the key areas of interdisciplinary research is to ensure public safety. In order to solve a number of problems within this area we can effectively use information technology and, in particular, an automated pattern recognition technology and identification of objects on digital images. There are addition problems in objects identifying process besides eliminating the influence of ambient light, angle, items of clothing and headgear. To ensure the applicability of the recognition approach to public security issues it must meet requirements of the high processing speed, the replenishment capabilities onthe-fly list of known images, and the low computational complexity of algorithms. The article deals with the main approaches to the recognition and identification of objects on digital images based on statistical approaches, as well as neural network models. We have allocate their basic features and principles, provided a brief description of each method. Consideration has been made in terms of the application for the problems of public safety, in which there is importance of the speed of the identification of the object, the ability of quickly learning for the system to accept new images and simultaneously process a plurality of input images. The analysis of the existing approaches has shown that none of them satisfy at least one or several needs, which are defined by domain problems of public safety
.