The article is devoted to the problems of using nonmaterial,
intellectual resources including knowledge
and experience of application of intellectual products,
innovative capacities of the countries. It is proved
that intellectual property is a powerful financial
instrument. Forms of protection of scientific and
technical achievements are analyzed. The main
approaches to activization of protection of
intellectual property in innovative activity are
considered. This provides minimization of risks in the
knowledge-intensive technological productions
containing a trade secret
The present article deals with the necessity of unification of human, intellectual and communicative (triads) resources of countries in the form of interregional and international cooperation for organization of knowledge economics. The article also considers modern transformation of cooperation forms in direction of open innovations, work in nets and formation of international clusters
In the article the technology and some results of application of systemic-cognitive analysis for revealing of knowledge of consequences of errors in configuration of safety systems under report of Microsoft Baseline Security Analyzer (MBSA) and uses of this knowledge for forecasting of consequences are described
We offer the system of indicators to assess the creditworthiness of Russian regions in this article. Correlation analysis of the indicators was performed and we highlighted correlated dependences. The system of 14 independent input parameters to assess the creditworthiness of the regions was composed. We have also conducted a cluster analysis (dependent index) assess the creditworthiness of the regions for the minimum and the optimal number of clusters creditworthiness regions. A dendrogram was obtained to show credit ability for the regions of SFD and North Caucasus Federal District. We created a discriminant model to assess the creditworthiness of regions with high confidence recognition
Adequate and effective assessment of the efficiency, effectiveness and quality of scientific activities of specific scientists and research teams is crucial for the information society and society based on knowledge. The solution to this problem is the subject of scientometrics and its purpose. The current stage of development scientometrics differs greatly from its previous appearance in the open as well as paid on-line access to huge amount of detailed data on a large number of indicators on individual authors and on scientific organizations and universities. In the world, there are well-known bibliographic databases: Web of Science, Scopus, Astrophysics Data System, PubMed, MathSciNet, zbMATH, Chemical Abstracts, Springer, Agris, or GeoRef. In Russia, it is primarily the Russian scientific citing index (RSCI). RSCI is a national information-analytical system, accumulating more than 9 million publications of Russian scientists, as well as information about citation of these publications from more than 6,000 Russian journals. There is a lot of data, so-called "Big data". The main primary scientometric indicator (based on which we build all the rest, such as the h-index) is the number of citations of the author's works, placed in the bibliographic database. This number of citations is determined by the software of RSCI using so-called "binding" which is a grammatical analysis and search in databases for works of the author, for relevant links from references in the works of various authors. However, the problem is, as experience shows, that authors make a very large number of simply incorrect and incomplete references in the reference lists, very far from standard. Currently, the software that RSCI uses does not automatically bind these invalid references, and this requires human intervention. But, centrally, to do this is not possible by experts of RSCI because of the huge amount of work, and distributed work for a large number of specialists in the field still requires a centralized moderation. As a result, the work for binding references to the literary sources is very slow and a huge amount of links is unbound. This leads to an underestimation of nanomatrices indicators of both individual authors and research teams that cannot be considered acceptable. The solution to this problem is offered by applying the automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit – intellectual system called "Eidos". This work provides a numerical example of the intellectual anchor of the real incorrect references to the works of the author on the basis of a small amount of real scientific data that are publicly available free on-line access to the RSCI
The article investigates the issues of recognition of
public rooms with defects, behavioral analysis of
situations and designing intelligent access system
objects geographically - distributed systems
The quality of a system is seen as an emergent property of systems, due to their composition and structure, and it reflects their functionality, reliability and cost. Therefore, when we speak about quality management, the purpose of management is the formation of pre-defined system properties of the object of management. The stronger the object of the control expresses its system properties, the stronger the nonlinearity manifests of the object: both the dependence of the management factors from each other, and the dependence of the results of the action of some factors from the actions of others. Therefore, the problem of quality management is that in the management process the management object itself changes qualitatively, i.e. it changes its level of consistency, the degree of determinism and the transfer function itself. This problem can be viewed as several tasks: First is the system identification of the condition of the object of management, 2nd – making decisions about controlling influence that changes the composition of the control object in a way its quality maximally increases at minimum costs. To solve the 2nd problem we have proposed an application of the component selection of the object by functions based on the resources allocated for the implementation of different functions; costs associated with the choice of the components and the degree of compliance of various components to their functional purpose. In fact, we have proposed a formulation and a solution of the new generalization of a variant of the assignment problem: "multi backpack", which differs from the known with the fact that the selection has been based not only on the resources and costs, but also with taking into account the degree of compliance of the components to their functional purpose. A mathematical model, which provides a solution to the 1st problem, and reflecting the degree of compliance of the components to their functionality, as well as the entire decision-making process for selections, i.e. 2nd task, has been implemented in the ASC-analysis and in the system called "Eidos" X++". The article also provides a simplified numerical example of the proposed approach with the selection of staff members
There are three main growth points of modern information technologies: global network and mobile communication, advanced human-machine interfaces, intelligent technologies. As it is known, the system (synergistic) effect is usually observed in multidisciplinary and interdisciplinary researches. This means that an interesting direction of research and development is located at the overlap of these three promising areas, namely: advanced interfaces in the global mobile networks, advanced intelligent interfaces and the application of artificial intelligence technologies in the Internet and mobile communications. In addition, a particularly high relevance goes to the development and application prospective of intelligent interfaces to the Internet and mobile communications. The Internet intellectualities gradually, it turns from non-local storage of large data (big data) in information space that contains meaningful big data, i.e. "great information" (great info), and then in the space of knowledge or "cognitive space" in which most information is actively used to achieve goals (management) and turns into the "great knowledge" (great knowledge). There are more sites devoted to artificial intelligence, free databases for machine learning (UCI, Kaggle, and others) and even on-line intelligent applications, and interfaces used in the Internet are improving. Recently, there was an acquisition of company Oculus, which is the world's leading developer and manufacturer of ammunition of virtual reality by the developer of one of the first global social networking Facebook - Mark Zuckerberg. However, students and scientists still do not notice that open, scalable, interactive, intelligent on-line environment for learning and researches already exists and operates, based on automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit – intellectual "Eidos" and the author's website. This article is an original presentation and it is designed to familiarize potential users with the capabilities of this environment
The article deals with the automated system that will allow users to make the structure of the existing database efficiently by sequential normalization with the use of explanatory system
In the present article we have shown the necessity of intensification of agricultural processes in dairy producing subcomplex of Agro–Industrial Complex, based on summarized scientific researches, and the necessity to increase the economic efficiency as key factors in security of produce independence of the country. There are presented objective backgrounds of reproduction as reflection of the fact, that created goods are constantly consumed and human needs are renewed. Hence, the production should be renewed and reproduced now and again. The characteristic of production resources is given along with their share in the production process. The relation between extended reproduction and economic growth, being a criterion of economic development is shown as well. There were characterized the ways of achievement of extended reproduction, as the extensive and the intensive. At the same time, there is an accent in expediency of intensification of production based on imbedding of scientifically and technological progress. As far as the intensive way is resource saving the extensive, on contrary, is recourse expendable. Economical efficiency of this process appears in directed and systemized increase in cattle productivity, increase of production by simultaneous decrease of costs of objectified and direct labor per one unit of produced goods. The achievement of extended reproduction in dairy producing subcomplex is not achievable without reach of high level of intensification processes in production of milk. The results of the research, concerning the connection between intensification and efficiency of production, were systemized. These results show, that the increase of level of production intensification leads to the growth of cattle productivity, labor productivity, profitability, increase of production output. After the switching to intensive way of farm development, due to limited character of resources availability, the decrease of capital costs of basic assets and inventory, direct labor per one unit of increase in output has a leading role in the increase of development in dairy producing subcomplex