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Том 50, № 6 (2016)
- Год: 2016
- Статей: 3
- URL: https://journal-vniispk.ru/0005-1055/issue/view/8965
Information Analysis
The rubrication of new areas of research in connection with the needs of the national economy based on the example of spintronics in physics
Аннотация
This article deals with problems of rubrication of dynamically developing directions associated with the permanent appearance of new objects, processes, methods, and technologies. These problems are considered based on the example of spintronics, a new field of solid-state physics that concerns the preservation and transmission of information according to electron spins in addition to or instead of their charge. We described a multi-level rubrication for spintronics, which includes all its major development directions at the moment, in accordance with which the publications are distributed in issues of the Physics. Spintronics AJ. A comparison of the proposed rubrication with the one that was proposed several years ago during the creation of a profile AJ was made. Among others, two new and promising branches of spintronics were allocated in the new rubrication: valley electronics (or valleytronics) and magnonics, and rubrics were introduced that reflect the roles of nano-objects and nano-technology in spintronic devices. The bibliometric analysis allowed us to evaluate the extent and distribution on different criteria of a publication flow in spintronics and to determine the adequacy of the developed rubrication.
215-222
Decision chains in analyzing multicriteria choice problems
Аннотация
This article provides a comparative analysis of chains of alternatives that emerge in solving multicriteria choice problems by methods of the criteria importance theory and the even swap method and brings to light the essential difference between these chains.
237-242
Intelligent Systems
An accelerated parallel algorithm for constructing the nonredundant matrix of implications during the construction of fault-tolerant nonredundant diagnostic tests
Аннотация
In this article the relevance of using test methods of pattern recognition while developing intelligent systems for decision making support for various problem areas is discussed. The advantage of fault-tolerant diagnostic tests used in intelligent systems is shown, namely, a tool for registering and processing different kinds of errors in databases and knowledge bases. The results of testing two algorithms for constructing the nonredundant matrix of implications are compared; the technical particulars of program implementation are discussed such as synchronization means, test environment, test-program structure, and bottlenecks of program implementation; methods of their elimination, and further development of parallel algorithms.
223-236