Abstract:

The paper presents the implementation of a visual script editor that allows you to design a series of experiments for virtual educational laboratories. The connection of the above approach with the possibility of explicit control over students' involvement and methods of its evaluation is described.

Abstract: Practice of holding the sociological surveys conducted for the purpose of detection of opinion of users on electronic information resources and the related information services provided by Educational and scientific information center of the Kazan National University of Science and Technology is described. Results of these polls are given. Experience on formation of information culture of users of Educational and scientific information center of the Kazan National University of Science and Technology is presented.

Abstract: Methods of the semantic documents parsing in digital control system of scientific collections, including electronic journals, offered. The methods of processing documents containing mathematical formulas and methods for the conversion of documents from the OpenXML-format in ТеХ-format considered. The search algorithm for the mathematical formulas in the collections of documents stored in OpenXML-format designed. The algorithm is implemented as online-service on platform science.tatarstan.

Abstract:

The approaches to the development (using the contactless touchscreen game controller Microsoft Kinect) of rehabilitation games for the complete or partial restoration of the motor functions of post-stroke patients using Microsoft Kinect are outlined. Problems that have been overcome, when working with the Microsoft Kinect and elements of game mechanics to achieve the involvement of the patient in the rehabilitation and gaming process are described.

Abstract: The main projects that have been implemented in the Computing Center named A.A. Dorodnitsyna of the Russian Academy of Sciences (CC RAS) for the last 20 years, that is, since 1998, are analyzed. One of the first was the implementation of the pilot project “Integrated Information Resource System (ISIR) RAS”. The successful completion of this project allowed the development of work on the integration of heterogeneous scientific information resources into the general academic scientific information system. An important stage was the project of creating the Unified Scientific Information Space (ENIP) of the RAS. This project was based on the subsystem “Scientific Institute of the Russian Academy of Sciences”, created at the CC of the Russian Academy of Sciences and the Center for Scientific Telecommunications (CNTK) of the Russian Academy of Sciences. Considering the importance of building digital libraries, in 2006 the Russian Academy of Sciences adopted the target scientific program “Creating the Central Bank “Scientific Heritage of Russia”, in accordance with which the digital library was implemented. The created GeoMeta Portal is a standardized and decentralized spatial information management environment designed to access geodatabases, map products and associated metadata from various sources, facilitating the exchange of spatial information between organizations and its sharing via the Internet. Currently, the main line of work is the LibMeta digital personal semantic library. The main task of this system is to provide the user with a unified view for the possibility of automated extraction of information of interest to him on a particular subject area.

Abstract:

This paper considers problems associated with the documentation of employment process and management of employment records. Today, these tasks are solved through paper contracts and, in the Russian Federation, through «labor books». In this paper a software solution based on distributed ledger technology (blockchain) and smart contracts is proposed to replace the existing paper workflow.

Abstract: We have studied emotions in various aspects: philosophical, psychological and neurophysiological; taking them into account cognitive architecture has been described. Based on Lovheim “Emotion Cube”, “Wheel of emotions” by Plutchik, Tomkins “Theory of affects” and Marvin Minsky thinking model we describe usage of emotions as influence factors for computing processes. Also indicated the possibility of using emotions in intelligent question-answer systems.

Abstract:

The paper discusses the use of machine learning mechanisms, natural language analysis and intellectual search in the field of jurisprudence. The main expected results are the methodology for applying text-based analytics and semantic natural language processing (NLP) algorithms in knowledge management cases in different types of legal practice. The obtained results can be applied in the field of education and knowledge management in a wider context, since the study lies at the union of jurisprudence, mathematical and computer linguistics.

We describe a prototype of a multi-agent system of intellectual analysis of legal texts that is capable of identifying general dependencies on the existing database of legal documents, providing legal cases with similar topics, recommending the most likely outcomes of judicial review.

Abstract:

We analyze blogs from the point of view of information architecture. We defend the thesis, that blogs are good tool for communication, but the worst tool for structured information. We presented the «archiblog» format, aimed to overcome this limitation.

Abstract: Virtual research centre of digital preservation in Europe provides a natural basis for long-term consolidation of digital preservation research and expertise. Spatial Data Infrastructure will cover technical methods for preservation, access and most importantly re-use of data holdings over the whole lifecycle; legal and economic issues including costs and governance issues as well as digital rights; and outreach within and outside the consortium to help to create a discipline of data curators with appropriate qualifications. Main tasks of Spatial Data Infrastructure SDI development are building global infrastructure for IT and geodata; satellite information harmonization; usage of agreed upon set of standards; clear documentation describing the parts of the system; interoperability between independently created applications and databases; common standards within their interfaces, protocols and data formats; and finally support of a general data policy for data creation, access, and support of satellite information. Fundamental principle of Russian segment of SDI is providing interoperability – the ability of interaction for heterogeneous services and data catalogues within the bounds of a unified informational system. The Russian segment of distributed informational system has been built on the basis of EOLI-XML and SSE technologies.

Abstract: The need for schoolchildren to develop safe behavior skills in cyberspace is justified in the article. One way is to use web-quest technology. The article contains a brief description of this technology and an example of its use in teaching the basics of cybersecurity.

Abstract: We describe the implementation of the monitoring for the IT systems at the core of the autonomous driving vehicle. The role of the monitoring is to assist in decision to start the driving cycle and continuous assessment for the fitness to drive the vehicle. The requirements for the monitoring system with the increased resiliency and data replication make it sufficiently different from standard monitoring systems and warrant a unique implementation tuned for the autonomous driving requirements. The monitoring system combines the OS events and real-time measurements of sensor data. The information is stored in flat files for emergency access as well as in a Time Series Data Base (TSDB).

Abstract: This article discusses approaches to the creation of an electronic scientific journal tool platform that provides the publication of multimedia materials through a web interface. The problems associated with the need to include multimedia data of different types are described and a working prototype of the multimedia of the scientific journal is presented.

Abstract: This article analyzes the work of the Third All-Russian Symposium "Infrastructure scientific information resources and systems", held in Sukhum, Abkhazia, 5-8 October 2013. The avalanche growth of electronic content required the development of new approaches to storage and continuous access to digital scientific data. Of particular interest are the current scientific tasks of creating spatial data infrastructures. Symposium traditionally discusses issues related to the integration of geographic information resources and free access to them, research e-Infrastructures to form a distributed scientific information resources, development of related directories and create a network of integrated, interoperable databases. The development of e-Science Infrastructures should be the basis of emerging systems for collective work of researchers based on a virtual integration of information and computing resources. The main focus of the Third Symposium were questions the use of modern approaches to technology development of information systems to the problems of informational support of scientific research.

Abstract: The technology of automated construction of the subject domain ontology, based on information extracted from the comments of the TATNEFT oil company relational databases, is considered. The technology is based on building a converter (compiler) translating the logical data model of Epicenter Petrotechnical Open Software Corporation (POSC), presented in the form of ER diagrams and a set of the EXPRESS object-oriented language descriptions, into the OWL ontology description language, recommended by the W3C consortium. The basic syntactic and semantic aspects of the transformation are described.

Abstract: Currently, there are a huge number of works dedicated to semantic role labeling of English texts [1–3]. However, semantic role labeling of Russian texts was an unexplored area for many years due to the lack of train and test corpora. Semantic role labeling of Russian Texts was widely disseminated after the appearance of the FrameBank corpus [4]. In this approach, we analyzed the influence of the word embedding models on the quality of semantic role labeling of Russian texts. Micro- and macro- F1 scores on word2vec [5], fastText [6], ELMo [7] embedding models were calculated. The set of experiments have shown that fastText models averaged slightly better than word2vec models as applied to Russian FrameBank corpus. The higher micro- and macro- F1 scores were obtained on deep tokenized word representation model ELMo in relation to classical shallow embedding models.

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 paper presents the implementation of the patient medical digital passport, using distributed ledger for storing encrypted electronic health records, patient and medic digital entities and accesses for data. A system for the secure distributed storage of highly sensitive confidential medical data is described.

Abstract: In this paper, we describe the analysis we had conducted on the matter of usage of biotechnological simulations in virtual space. We used the results to design the set of requirements for mechanics, environment, visual and technological aspects of virtual labs. We also showcase our simulation of the biomedical virtual lab as an example of how methodologies we described could be implemented.

Abstract: A description of the user interface elements for native mobile applications with augmented reality. Specifically, an analysis of the different UI components required for augmented reality apps (for example, support of basic gesture recognition for interactions between the application user and 3D objects, possible color combinations), as well as a comparison between these components.

Abstract: Floods were and are continuing to be a great threat to human properties, farms, agriculture, and households. To reduce the flood-related damage, we have to be able to reliably predict the flood dynamics, and the best way to do this is a computer simulation. Such simulational software must take into consideration many factors, such as the landscape qualities, human infrastructure, protective buildings, and more. In this paper, we try to systematize all those factors and create the software that will adhere to those requirements.

Abstract: Framework for development of native mobile applications with augmented reality. Analysis of various development spheres: game development, mobile applications development. The concept of a new framework and a set of tools for developing mobile applications with augmented reality is presented.

Abstract: The use of different metaprogramming mechanisms for program libraries development in Java may have some negative effect on build time and end products. The article is aimed to describe metaprogramming mechanisms in the Java language and present the results of experiments that compare the impact of approaches on the build time of small and large projects.

Abstract: Currently, the need for distributed ML training solutions in the world is increasing. However, existing tools, in particular TensorFlow Federated, are at the very beginning of their development, difficult to implement, and currently suitable exclusively for simulation on servers. For mobile devices, reliable approaches for this purpose do not exist. This article has designed and presented an approach to such distributed training of the ML-model on mobile devices, implemented on existing technologies. It is based on the concept of model personalization. In this approach, this concept is improved as a consequence of mitigating the identified drawbacks. The implementation process is structured so that at all stages of working with the ML-model use only one Swift programming language (Swift for TensorFlow and Core ML 3 are used), making this approach even more convenient and reliable due to the common code base.

Abstract: Prediction of forest fire dynamics is no easy task, requiring thoughtful examination of many factors involved, such as landscape, vegetation, climate and weather conditions, humidity, urbanization of land, and many others. One of the best approaches to this problem is a computer simulation. In this paper, we describe the thought process and the development of a forest fire simulator that means to address all of those difficulties.