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Том 51, № 5 (2017)
- Год: 2017
- Статей: 3
- URL: https://journal-vniispk.ru/0005-1055/issue/view/8970
Information Analysis
The intensive use of digital data in modern natural science
Аннотация
Common approaches and technologies applied to digital data storage and processing in various disciplines are analyzed. It is shown that regardless of a specific subject area, working with large data set obtained as a result of experimenting or modeling requires similar methodological support, involving data curation, metadata support, and data genesis and quality annotation. The interdisciplinary field called “The properties of materials and substances” is analyzed as an example of a discipline that actively applies digital data. New approaches to the integration of data with heterogeneous properties that take into account structural data variations by the class of substances, the state of sample, experimental conditions, and other factors are investigated.
201-213
A method for estimating the time intervals between transactions in speech-compression algorithms
Аннотация
A method is described for estimating the time intervals between transactions in speech-compression algorithms based on a complex Markov process, each state of which is a 2-parallel Markov process that describes the “competition” between the source of the signal that fills the buffer and the receiver of the signal that empties the buffer. The complex Markov process is transformed into an ordinary process, whose states simulate the number of buffer cells that are filled at the current time. This makes it possible to obtain a dependence connecting the probability of failure, the amount of buffer memory, and the mathematical expectations of the times of filling and emptying the buffer.
214-219
On JSM reasoning applicable to unions of factbase subsets: Part 1
Аннотация
In this paper, we consider the strengthening of the JSM method for automated support of scientific research (ASSR JSM method) by introducing a ternary relationship of causality such that positive facts can contain negative causes and negative facts can contain positive causes. In this connection, we consider unions of factbase subsets that correspond to combinations of pairs of similarity predicates that, in turn, represent binary and ternary relationships of causality, respectively, for formalization of JSM reasoning rules.
220-234