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Vol 50, No 2 (2016)
- Year: 2016
- Articles: 4
- URL: https://journals.rcsi.science/0005-1055/issue/view/8961
General Section
The infosphere of large research-and-production systems as a form of organization: Analytical methodology
Abstract
This paper presents the methodology for the analysis of the information space (infosphere) organized at large research-and-production systems, such as the Russian military-industrial complex. This study presents a novel approach to the infosphere of large research-and-production systems, as analyzed from various (philosophical, economic, technological, linguistic, informational, and organizational) perspectives.
35-46
The conceptual form of an advanced technology package for the information support of knowledge-intensive production
Abstract
The development trends of the global information environment and present-day high-tech production are demonstrated. A CAD methodology for supplying the stages of the “research–development–production” cycle with scientific, technical, and techno-economic information is considered from a systemic perspective. A virtually synthesized technology package for the continuous information support of the lifecycle of a product with a CAD system as its core is presented. The architecture and functional content of the technology package, as well as qualitatively new characteristics of the information support process for knowledge-intensive production, are shown.
47-55
Information Analysis
Calculation of the random-variable distribution law
Abstract
In this paper, continuous random variables are classified, three systems of continuous distributions are constructed, and the principle of the robust method for the calculation of the distribution law (including the rank distribution) and parameter estimates and the generic method of moments are described. Universal laws for the distribution and aging of publications are validated.
56-69
An analysis of the results of the inductive formation of diagnostic medical knowledge databases
Abstract
This paper proposes a problem-oriented method for the objective formation of easily interpretable knowledge databases for intelligent systems. We describe the InForMedKB software complex, which is designed for the inductive formation of medical diagnostics knowledge databases; it was used to perform the proposed method. Expert analysis of the results of using the developed software complex, viz., the inductively formed Acute Appendicitis database of medical diagnostic knowledge for a mathematical dependence model with parameters, which is near real-life ontology of medical diagnostics, is given.
70-78