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Vol 45, No 3 (2019)
- Year: 2019
- Articles: 6
- URL: https://journals.rcsi.science/0361-7688/issue/view/10868
Article
Infrastructure of Supercomputing Technologies
Abstract
Supercomputing technologies have a lot of aspects, and, speaking of their serious support at the state level, it is necessary to create and develop all elements of a supercomputing infrastructure, not focusing only on its individual components. In this paper, we discuss all basic elements of this infrastructure and illustrate the extreme demand for it in Russia, where only the list of tasks published by the Ministry of Education and Science of the Russian Federation contains more than 700 problems that require supercomputing resources for their solution. Many researchers have worked in this field; however, in this paper, we overview only the results achieved by some prominent Russian scientists from the Moscow State University, to which M.R. Shura-Bura devoted a significant part of his life.
89-95
On Solving the Problem of 7-Piece Chess Endgames
Abstract
This paper discusses the brightest achievements in the field of chess informatics. We would especially like to note that, during the work of Mikhail Romanovich Shura-Bura at the Moscow State University (MSU), researchers from the MSU were leading this field: in 1973, the Kaissa program won the world computer chess championship. Later, the leadership was lost. It was regained in 2012, when scientists from the Faculty of Computational Mathematics and Cybernetics (CMC) of the MSU generated a complete tablebase of 7-piece chess endgames on a Lomonosov supercomputer and found the longest known checkmate in 549 moves.
96-98
Machine Learning Methods for Detecting and Monitoring Extremist Information on the Internet
Abstract
In this paper, we employ machine learning methods to solve the problem of countering terrorism and extremism by using information from the Internet. This problem involves retrieving electronic messages, documents, and web resources that potentially contain information of terrorist or extremist nature, identifying the structure of user groups and online communities that disseminate this information, monitoring and modeling information flows in these communities, as well as assessing threats and predicting risks based on monitoring results. We propose some original language-independent algorithms for pattern-based information retrieval, thematic modeling, and prediction of message flow characteristics, as well as assessment and prediction of potential risk coming from members of online communities by using data on the structure of relations in these communities, which makes it possible to detect potentially dangerous users even without full access to the content they distribute, e.g., through private channels and chat rooms.
99-115
Tools to Support Scientific Online Publishing
Abstract
This paper analyzes the current situation in the field of scientific online publishing in Russia, namely, open access to publications, reliable storage of published materials, correction of errors found in online publications, alive (regularly updated) publications, multimedia and other advanced elements of publications, and transition from PDF representation of publications to HTML.
116-120
121-132
A Semi-Automatic Method of Collecting Samples for Learning a Face Identification Algorithm
Abstract
A method for the semi-automatic collection of samples for learning face identification algorithms is proposed. In the experimental evaluation, the operation of the face identification algorithm on ethnically diverse data is considered. The algorithm operation is also evaluated on the data with a wide variation of ages. The proposed method makes it possible to expand the training sample by indexing new data.
133-139