Vol 18, No 3 (2020)
5-18 65
Abstract
Recently, the concept of intelligent energy systems becomes more popular in Russia. In order to implement such systems, it is required both development and usage of modern information technologies to manage technological infra-structure, and upgrade of this infrastructure. In turn, infrastructure upgrade requires a strategic decision-making for energy sector development. To provide a high quality of such decisions, intellectualization of the process of making them is required. This article deals with usage of agent-service approach for development of intelligent decision support systems (IDSS). Concepts of agent and multiagent system are being considered. Detailed description of agent-service approach and architecture of a typical IDSS, used in this approach, is provided. Also, article considers usage of agent-service approach for development of IDSS “Situation polygon” (for strategic decision-making support in energy sector) and web-oriented information-analytical system WIS (for impact assessment of the energy sector on geoecology). In the future, we plan to add additional functionality in these systems, in particular, to provide in the “Situation polygon” an automatic setting of the values of connections in cognitive maps based on the values of connections in the ontology, and to add in WIS the possibility of calculating the trajectory of the transfer of harmful substances.
19-33 264
Abstract
This work is devoted to development of a modular flight controller architecture for a quadcopter. The hardware part of the controller is a single-Board raspberry Pi computer, for developing the software part Robot Operating System (ROS) framework was used. The paper describes the developed architecture, control algorithms, results of flight experiments in the Gazebo physical simulator.
Repeatability of the Data from Social Interactions Experiments Depending on Personal Characteristics
34-43 97
Abstract
The presented study examines the problem of the reliability of experimental data, which is acute in the field of psychology and neurophysiology. The problem is related to the fact that the participation of a human subject in one experiment from a series of experiments can affect his behavior in the next experiment, cause undesirable distortions in the obtained experimental data and, as a result, lead to false conclusions. It is shown that the test-retest method gives the most qualitative assessment of the reliability and this estimate is in good agreement with the results of calculating the reliability by the method of interclass correlation coefficients. Data obtained in a neurophysiological experiment on social interaction is used as the initial data.
44-56 67
Abstract
Providing users with the way to collaboratively edit shared model is the challenge of complex informational systems. The majority of existing methods require online connection between users, otherwise, users’ intentions can be lost after a certain delay. The aim of this research is to build a collaborative system that allows users to edit shared model in offline manner without losing their intentions. Firstly, commit-based system was selected as underlying data storage. Secondly, we examined existing collaborative algorithms and selected operational transformation as the most perspective for this scenario. Thirdly, we described the way to merge commits, that stores operations, using modified operational transformation algorithm. Key features of modified operational transformation algorithm include ability to handle resolving of merge conflicts, when intentions of two users are conflicting. To implement this, we consider the set of commits branches as ordered set. As a result, we developed a version control system, that stores user’s intentions and can automatically resolve conflicts on merge. This approach can be applied to any informational system, which is able to save user’s input as the set of operations.
57-68 59
Abstract
The paper describes the limitations of applying the method of classification of scientific texts based on data compression to all categories indicated in the ASJC classification used in the Scopus bibliographic database. It is shown that the automatic generation of learning samples for each category is a rather time-consuming process, and in some cases is impossible due to the restriction on data upload installed in Scopus and the lack of category names in the Scopus Search API. Another reason is that in many subject areas there are completely no journals and, accordingly, publications that have only one category. Application of the method to all 26 subject areas is impossible due to their vastness, as well as the initial classification of Scopus. Often in different subject areas there are terminologically close categories, which makes it difficult to classify a publication as a true area. These findings also indicate that the classification currently used in Scopus and SciVal may not be completely reliable. For example, according to SciVal in terms of the number of publications, the category “Theoretical computer science” is in second place among all publications in the subject area “Mathematics”. The study showed that this category is one of the smallest categories, both in terms of the presence of journals and publications with only this category. Thus, many studies based on the use of publications in ASJC may have some inaccuracies.
69-80 99
Abstract
The control system of the X-ray complex LIA-20 is based on the Tango Controls framework. Data archiving subsystem HDB++ was improved during the work for efficient storage of waveforms. PostgreSQL DBMS support as a storage was added. PostgreSQL extension “pguint” for unsigned numbers support was modified to support the binary transfer mode during this work. Performance testing of the modified “pguint” extension and the new DBMS interface was performed. This solution allowed to significantly increase the performance of HDB++, reduce the amount of data stored in the database, as well as remove restrictions on the size of the stored data.
81-95 52
Abstract
The main practical interest of geophysics is the restoration of the structure of the medium. So one can understand whether there are hydrocarbon reservoirs at depth. Studying the structure of the medium by taking numerous samples and drilling wells is a very financially and time-consuming task. Therefore, the use of mathematical modeling seems to be a good alternative. If the calculations show a result similar to the initial data of the medium, then such algorithm for restoring the medium can be applied new regions. Verification of the algorithm should be carried out on real structures of the media, but real wave field data are not provided, since they are often the subject of trade secrets. In this case, the result of this work comes to the rescue. Numerical simulation is widely used in studying the processes of wave field propagation in various complex media. One way is to discrete the domain for which the simulation is being performed, and to construct a difference scheme for further numerical implementation. This work involves the construction of a mesh with curved quadrangles, which allows good agreement with the topography of the surface. A parallel algorithm of numerical modeling based on the numerical solution of a linear 2D system of elasticity theory written in displacements using a curvilinear mesh and an explicit difference scheme is proposed. The simulation results are presented. The calculations were carried out using the resources of the SSCC SB RAS.
ISSN 1818-7900 (Print)
ISSN 2410-0420 (Online)
ISSN 2410-0420 (Online)