Abstract:

Currently, the major part of transmitted and stored data is unstructured, and the amount of unstructured data is growing rapidly each year, although it is hardly searchable, unqueryable, and its processing is not automated. At the same time, there is a growth of electronic document management systems. This paper proposes a solution for extracting data from paper documents considering their structure and layout based on document photos. By examining different approaches, including neural networks and plain algorithmic methods, we present their results and discuss them.

Abstract:

This article description the conception of History of Genius Discovery (History GD) software. The software has few similarities with GitHub software that have got wide famous at the professional developer’s community. The software appealed to solve two main science issues. History GD will save science and cultural heritage of Russian scientists and accumulate initial data for measuring tendencies of science theorems formation. The last will give the probability for appending The Structure of Scientific Revolutions by Thomas S. Kuhn by using numeric big data. Also, the software will minimise probability of losing scientific manuscripts by reason of scientists deaths. Software engineering, sociology, philosophy, law, and history are five scientific directions that are used as base for creating this software. The idea of creation have got at Kazan Federal University when we learned Big Data Science.

Abstract:

The paper discusses the progress in the development of network services and technologies of the geoportal of satellite radiothermovision created by the authors earlier. The initial task of the geoportal was to provide potential users access to the results of the spatiotemporal interpolation of geophysical atmospheric fields. Practical implementation required the implementation of a technology of dynamic generation of processing products. The use of this technology had expanded the range of tasks, and led to the creation of a specialized service of the virtual integration of spatial geodata ICAR (Interactive Calculator for Atmospheric Research). The paper describes the interface and technological principles underlying the ICAR project, discusses some details of software and algorithmic implementation, provides examples of practical applications.

Abstract:

This article raises questions of the determining course complexity and analyzing schedule and academic performance relations. Also there are emphasized important constituents of the courses and introduced ideas of the use cases of the allotted data.

Abstract:

he ontology-based approach to multi-agent modeling involves the implementation of a modeling system through the creation of ontologies. An example of a holistic implementation of an ontology-based approach to agent-based modeling is the IEEE 1516 Standard for Modeling and Simulation High Level Architecture. The work is devoted to a multi-agent modeling system designed for modeling complex radio engineering systems (especially radar systems), its relevance is due to the need to replace part of the field tests of radio engineering systems with simulation experiments. The motivation for switching to the IEEE 1516 standard for a "heavy" multi-agent modeling system, among other things, is to ensure scalability, openness and multiple reuse of the developed agent models, which is completely logical to do based on the existing well-developed and proven standard that establishes rules for the interaction of models and the development of software interfaces. The general principles of construction and architecture of the modeling system are given. The basic requirements for the main modeling agents, their role and place in the complex modeling system are shown, a special place among which is occupied by the simulator of the background-target environment. The possibility of combining two simulation schemes is also discussed: discrete-event and step-by-step. The fact is that the step-by-step scheme has advantages such as simplicity and clarity, it is convenient to model processing algorithms, components of radio engineering systems. However, it is impossible to implement true autonomy and asynchrony of agents in it. Combining two modeling schemes allows you to combine their advantages.

Abstract:

An approach for individualization of education based on automatic generation of individual educational routes and schedule with respect to individual features and wishes of student. A working principle of developed instruments is shown. Question of the application of developed approaches and instruments in higher education are raised.

Abstract: All the time scientists need to publish the results of their work in order to remain relevant, meet the time, criteria, and not be outside the scientific community. The well-known principle of “publish or perish” often forces scientists to strive for quantity, not quality [1]. Along with the problems of authorship, paid research, the fabrication of the results, plagiarism and self-plagiarism are among the most common violations. Their impact is more subtle, but no less disruptive for the scientific community.
The article provides an overview of the existing tools for identifying borrowing in the scientific articles of the authors. Decisions’ analysis is performed by com-paring systems for a number of characteristics. The tools are tested on real data to investigate their performance and efficiency.

Abstract: An approach to automatically generating questions for tests or quizzes using the DBPedia knowledge graph is presented here. The selected knowledge graph has about 5 million entities. DBpedia SPARQL endpoint the ability to make queries to the semantic network using the SPARQL language. The algorithm, the basic queries to the knowledge graph for constructing questions, a non-standard approach to the search for entities are presented in this article.

Abstract: The paper is aimed to describe a system with some mechanisms for using mobile devices in distributed computing. Emphasis is placed on components of the system which control tasks and distribute resources.

Abstract:

The questions of usage of the learners’ data in the solutions for generating student academic groups, electives and project teams are considered. The applications of Machine Learning clustering algorithms for these tasks are illustrated. The opportunity of usage of social network data is shown.

Abstract:

The methodology of opening of the specialized electronic journal of Institute of professional development of energy industry is considered. Conditions of effective functioning of specialized journales are shown. Results of studying of activity of editions of competitors – other Institutes of professional development are presented. The target audience of the electronic scientific-practical magazine of Institute of professional development of energy industry, and also its features influencing this audience and its interest in the edition is analysed. Software products by means of which the electronic magazine is created are described.

Abstract:

An approach for designing Microlearning Applications is presented. The dependency of reliability of knowledge evaluation from visual representation of testing questions. And architecture of system and working principle of developed instrument for designing adaptive tests and testing scenarios is shown.

Abstract:

For support of adaptive training and educational analytics in the intellectual learning systems, it is necessary to collect, process data on progress of the student and his various individual characteristics. It can be realized by means of the student model. The analysis of approaches to modeling of the student has shown that application of several types of models is an optimal solution, considering requirements to the learning system. Three approaches were chosen and united into one model: overlay, Bayesian network, error model. Use of overlay model allows to build individual trajectories of student training. Bayesian networks realize competence-based approach in training. The model of mistakes keeps track of wrong knowledge of the student and helps the student to correct them at early stages. The student model uniting in itself these approaches is more suitable for realization of the personalized training, allows to keep track of progress of the student according to various characteristics and also gives the chance to easily submit the card of subjects, knowledge, competence of the student of various areas in the form of the count that is quite convenient and clear representation.

Abstract: The article is devoted to creating a quick method of comparing a huge amount of data tables in relational database management systems. Creating an effective method for comparing relational systems is really relevant today. The study of existing solutions was conducted. The algorithm in this article was created using the probabilistic data structure «Countable Bloom filter» and the Monte Carlo Method. The proposed solution is unique in its direction, as it uses the least amount of temporary resources. A probabilistic model of the created algorithm is constructed, this algorithm can be used for parallelization.

Abstract:

In this paper one of the possible implementations of cooperative education models based on STAD (Student Teams-achievement Divisions) strategy of cooperative learning in LMS (Learning Management System) is described. The approaches of this learning methodology increase the level of teamwork skills, need in further professional activity, and their injection into LMS can help to automate and optimize some processes and open new opportunities for implementation of new instruments.  

Abstract: The paper describes the developed platform for data collection and data analysis of user experience in interactive prototypes usage. The platform allows to organise permanent and fast feedback between the target audience and interface designers. The system includes desktop and mobile applications, and the web-server for data analysis, information storage and connection between the client applications.

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.

Abstract:

The paper presents the features of the using the microservice architecture in the development process. The advantages of this approach are illustrated in comparison with the traditional monolithic approach. The connection between the use of the microservice architecture and the ability of the team to work within agile development methodologies is shown.

Abstract: This article describes the development of a system for detecting duplicate video files based on the method of obtaining and analyzing the color map of a video sequence, as an approach that does not require large computational resources, is applicable to a wide range of types of video clips and has small distortions relatively to the original.