Abstract: International Virtual Observatory (IVO) is a collection of integrated astronomical data archives and software tools that utilize computer networks to create an environment in which research can be conducted. Several countries have initiated national virtual observatory programs that will combine existing databases from ground-based and orbiting observatories and make them easily accessible to researchers. As a result, data from all the world's major observatories will be available to all users and to the public. This is significant not only because of the immense volume of astronomical data but also because the data on stars and galaxies have been compiled from observations in a variety of wavelengths: optical, radio, infrared, gamma ray, X-ray and more. Each wavelength can provide different information about a celestial event or object, but also requires a special expertise to interpret. In a virtual observatory environment, all of this data is integrated so that it can be synthesized and used in a given study. The International Virtual Observatory Alliance (IVOA) represents 17 international projects working in coordination to realize the essential technologies and interoperability standards necessary to create a new research infrastructure. Russian Virtual Observatory is one of the founders and important members of the IVOA. The International Virtual Observatory project was launched about ten years ago, and major IVO achievements in science and technology in recent years are discussed in this presentation. Standards for accessing large astronomical data sets were developed. Such data sets can accommodate the full range of wavelengths and observational techniques for all types of astronomical data: catalogues, images, spectra and time series. The described standards include standards for metadata, data formats, query language, etc. Services for the federation of massive, distributed data sets, regardless of the wavelength, resolution and type of data were developed. Effective mechanisms for publishing huge data sets and data products, as well as data analysis toolkits and services are provided. The services include source extraction, parameter measurements and classification from data bases, data mining from image, spectra and catalogue domains, multivariate statistical tools and multidimensional visualization techniques. Development of prototype VO services and capabilities implemented within the existing data centers, surveys and observatories are also discussed. We show that the VO has evolved beyond the demonstration level to become a real research tool. Scientific results based on end-to-end use of VO tools are discussed in the presentation.

Abstract: The information visualization methods have been known as a tool providing the understanding of large data. The visualization of research publication collections is a special case of applying visualization methods to large data. This paper presents a survey of problems solved by means of visualization, document models and document analysis methods as well as of new approaches to visualization methods for research publication collections. Special attention is paid to the relation between the document analysis and visualization methods.

Abstract:

A method for building end-to-end management accounting in a division of the Bank’s subdevision specializing in working with non-core assets is proposed. Has been proposed the process approach, an algorithm for building a database for the formation of key performance and control indicators.

Has been described the key stages of the department's work, the attribute composition of entities (set) arriving, enriched and transmitted at each stage of the department's work. By modeling the process has been built a role model, access and editing rights for employees. Data sources (reference books) for optimization and unification of the process of filling the database (tuple) are proposed. A method of accessing the database in the Power Query Microsoft Excel add-in is proposed, which allows you to collect data from files of all basic data types, process and refine the received data. In the interactive programming environment Jupyter Notebook, mathematical and financial models for data analysis (logistic regression, decision tree and discounted cash flow method) were built based on data in order to predict costs, the timing of asset exposure and make a decision on the optimal cost of putting property on the Bank's balance sheet and selling price. Based on ready-made libraries (matpotlib, seaborn, plotly), options for data visualization for management are proposed. Using the example of the Bank's division, the author describes the positive effects and opportunities that open up to the management of different levels in solving day-to-day tasks and planning the activities of the division. A technical task was proposed for the development of a showcase for the sale of non-core assets on the Bank's website as an environment for the accumulation of external data for making flexible management decisions.

Abstract: Due to the fast development of Semantic Web and its new branch of Linked Open Data, large amounts of structured information on various scientific areas become available. Digital libraries, information systems and portals based on ontologies are the most reliable sources of this information that need careful investigation in order to optimize science management. A generally accepted way to facilitate understanding of such large and complex data sets is graph visualization. This paper is devoted to newly developed visualization algorithms of co-authorship and citation networks extracted from information portals and digital libraries of the Linked Open Data cloud.

Abstract: In this paper developed model of information-computational system for conducting scientific research based on statistical processing and analysis of spatially distributed geophysical data obtained as results of observations and modeling is presented. Accumulated experience of developing information-computational web-systems providing computational processing and visualization of large archives of geo-referenced data was used during the implementation. Functional capabilities of the model comprise a set of procedures of mathematical and statistical analysis, processing and visualization of data, which allows optimizing of routine calculation tasks. As one of applications of the system being developed program modules for analysis of regional features of main climatic characteristics dynamics and interrelations as well as for graphical representation of results as plots, diagrams and 3-D fields layered on maps of corresponding territories by means of Web GIS technologies were implemented.

Abstract: The approaches description and functions is presenting. The short description of data and metadata search, discovering of indicating data is giving for decision support.

Abstract: The task of forming a digital space of scientific knowledge (DSSK) is analyzed in the paper. The difference of this concept from the general concept of the information space is considered. DSSK is presented as a set containing objects verified by the world scientific community. The form of a structured representation of the digital knowledge space is a semantic network, the basic organization principle of which is based on the classification system of objects and the subsequent construction of their hierarchy, in particular, according to the principle of inheritance. The classification of the objects that make up the content of the DSSK is introduced. A model of the central data collection system is proposed as a collection of disjoint sets containing digital images of real objects and their characteristics, which ensure the selection and visualization of objects in accordance with multi-aspect user requests. The concept of a user collection is defined, and a hierarchical classification of types of user collections is proposed. The use of the concepts of set theory in the construction of DSSK allows you to break down information into levels of detail and formalize the algorithms for processing user queries, which is illustrated by specific examples.

Abstract: The geoportal is a mapping web site; it can be described as specialized software and technologies for spatial data processing. Geoportal's main task is to provide the user with the tools and services of storing and cataloguing, publications and download the spatial (geographic) data, search and filter by metadata, interactive web visualization, direct access to geodata based web mapping services. Geoportal developed in ICM SB RAS with appropriate set of its components and services, has become a GIS platform for creating a number of applied GIS web applications. The article deals with the experience of design and development of these systems.

Abstract:

Growing climate instability is creating new challenges and risks for the resilience of small and medium-sized enterprises (SMEs). This article proposes a prototype architecture for a dynamic expert system comprising several key modules: a user interface, a knowledge base, a server application, and a dynamic data update module with real-time APIs. A distinctive feature of the system is the application of Z⁺-number calculus, implemented using the scikit-fuzzy library, which allows for accounting of graded confidence in evaluations. This approach provides more robust and adaptive risk assessments that are sensitive to changes in the quality of input data. Interactive visualization of the results is built upon OpenStreetMap. The system's methodology for self-adaptation of confidence measures based on historical data is described.

Abstract: The paper is presents approaches to solving the problem of creating realistic interactive 3D web-collections of museum exhibits. The presentation of 3D-models of objects based on oriented polygonal structures is considered. The method of creating a virtual collection of 3D-models using interactive animation technology is described. It is also shown how a full-fledged 3D-model is constructed on the basis of individual exposure frames using photogrammetry methods. The paper assesses the computational complexity of constructing realistic 3D-models. For the creation of 3D-models in order to provide them to a wide range of users via the Internet, the so-called interactive animation technology is used. The paper presents the differences between the representations of full-fledged 3D-models and 3D-models presented in the form of interactive multiplication. The technology of creating 3D-models of objects from the funds of the State Biological Museum named K.A Timiryazev and the formation on their basis of the digital library “Scientific Heritage of Russia” of a virtual exhibition dedicated to the scientific activities of M.M. Gerasimov and his anthropological reconstructions, and vividly demonstrating the possibility of integrating information resources by means of an electronic library. The format of virtual exhibitions allows you to combine the resources of partners to provide a wide range of users with collections stored in museum, archival and library collections.

Abstract:

In this paper, we discuss monitoring of the state of murals, retrieval of data pertaining to this state and management and storing of the said data. We discuss the possibility of integration of traditional methods of mural mapping and modern methods of data visualization, including Project Tango for fixation of complex textures of inner 3D volumes of architectural monuments. We further discuss the express-scanning of automated cartogramming for further comparison of states and methods of assessing the damage done to the mural.

Abstract:

The work is aimed at considering the process of modeling a realistic controller of the behavior of groups of objects. The main techniques and principles used to create a realistic controller of the behavior of autonomous agents, united in related groups, are investigated. Based on this data, a behavior controller has been created.

The following works were performed: on the calculation of the effectiveness of the behavior of groups of autonomous agents; on the possibility of using a system of local scalar fields with the aim of constructing the most accurate mathematical model; on the analysis of the possibility of creating a hierarchical system of multi-agent subgroups within the group, with the aim of realizing the movement of these same groups, as an integral part; to use a structured approach to create an efficient controller architecture; on conducting practical experiments to evaluate the correctness of the data obtained.

To achieve the goals set, the computational methods of optimization theory, mathematical statistics, and analytical methods of the mathematical modeling apparatus are involved.

Abstract:

The article describes the main points of the process of creating a system that allows you to manage several cameras simultaneously while saving data on the server. The system has the ability to connect IP cameras and cameras on mobile devices, provide access to other users, and also allows you to watch video online. Hotspots in the architecture of the system have been identified and described. A separate Angular module was developed and design patterns were used. The interaction of the system with the user is described. The stages of further development of cloud video monitoring through ip-cameras with easily accessible control for the end-user are offered.

Abstract:

With the advent of network science, it has become possible to explore complex network systems, including social and information networks, by presenting them as graph models. The exponential growth of the total volume of scientific publications determines the relevance of the tasks of analyzing their interrelations. In network science, models and methods related to the field of so-called citation networks are being developed to solve these problems. However, network metrics are not used when analyzing publications in citation databases. The paper considers the issues of creating a decision support system for the selection of information sources based on data on the citation of scientific publications. A software package has been developed for making decisions on determining an important publication in a certain thematic area. The software package is based on a method of ranking publications by importance based on the analysis of citation networks, which allows you to identify publications that do not clearly stand out when ranking based on known bibliometric indicators or known measures of centrality of nodes in their pure form. A study and comparative analysis of software for visualization and research of all types of graphs and social networks has been conducted. Studies have been carried out confirming the effectiveness of the proposed decision support system in the selection of information sources.

Abstract: It is proposed to add a static system of types to the dataflow functional model of parallel computing and the dataflow functional parallel programming language developed on its basis. The use of static typing increases the possibility of transforming dataflow functional parallel programs into programs running on modern parallel computing systems. Language constructions are proposed. Their syntax and semantics are described. It is noted that the need to use the single assignment principle in the formation of data storages of a particular type. The features of instrumental support of the proposed approach are considered.