The search for baseline events for assessing the safety of nuclear refueling operations at nuclear power plants

The relevance of the topic of the safety of nuclear refueling operations is associated with the specificity of exploitation of RBMK units. One of the most hazardous, from the perspective of accidents at modern nuclear power plants, is the process of nuclear fuel reloading. The operations on rearrangement of fuel cartridges entail the risk of fuel damage, and thus, the likelihood of the release of radioactive substances exceeding the permissible limits. The process of reloading RBMK, if the reactor is at full capacity, consists of the vast number of complex operations characterized by a range parameters. Non-observance of the criteria for carrying out operations, or if the parameter values exceed permissible limits, with high probability leads to an accident. This article explores the possibility of application of formalized approach towards determination of the baseline events that may cause accidents for the purpose of the development of essential protection instruments. The formal approach would allow detecting the excessiveness in protection instruments on the existing blocks, as well as revealing the accident situations that cannot be prevented using these protection instruments. The author formulated systemic approach towards comprehensive assessment of the accident rate of structurally complex systems. Adaptation of this method relative to REM allows systematizing the search for baseline vents that entail uncontrolled situations, as well as optimizing the protection instruments that would ultimately enhance reliability of the system, simplify the exploitation process, and reduce the time of operating cycle of the controller for processing of the protection.

Hybrid categorical expert system for the use in content aggregation

The subject of this research is the development of the architecture of expert system for distributed content aggregation system, the main purpose of which is the categorization of aggregated data. The author examines the advantages and disadvantages of expert systems, toolset for development of expert systems, classification of expert systems, as well as application of expert systems for categorization of data. Special attention is given to the description of architecture of the proposed expert system, which consists of spam filter, component for determination of the main category for each type of the processed content, and components for determination of subcategories, one of which is based on the domain rules, and the other uses the methods of machine learning methods and complements the first one. The conclusion is made that expert system can be effectively applied for solution of the problems of categorization of data in the content aggregation systems. The author establishes that hybrid solutions, which combine an approach based on the use of knowledge base and rules with implementation of neural networks allow reducing the cost of the expert system. The novelty of this research lies in the proposed architecture of the system, which is easily extensible and adaptable to workloads by scaling existing modules or adding new ones. The proposed module for spam detection leans on adapting the behavioral algorithm for detecting spam in emails; the proposed module for determination of the key categories of content uses two types of algorithms: fuzzy fingerprints and Twitter topic fuzzy fingerprints that was initially applied for categorization of messages in the social network Twitter. The module that determine subcategory based on the keywords functions in interaction with the thesaurus database. The latter classifier uses the reference vector algorithm for the final determination of subcategories.

Integration of information resources of situational centers

The existing approaches towards formation of a single information space for accessing from various information resources are not effective enough from the economic and operational perspective. The subject of this research is the information assets from different sources used for the work of intelligent situational centers. The goal lies in the development of methodology for unification of such resources into a single information space, which is essential for the processing of large volumes of unstructured and poorly structured information. The article explores the models and types of data, information space of the activity for determining the end type of data representation, and the algorithm of transitioning from the object to NoSQL model. As a result of the conducted research, the author built a new information structure of the intelligent situational center. The proposed methodology for the formation of physical data models is compatible with the four types of NoSQL databases: columns, documents, graphs, and a key value. The data models (conceptual, logical, and physical) used in the developed process comply with the meta-models: from conceptual to logical stage, followed by from logical to physical stage. The offered solution should be implemented in the form of a hardware-in-the-loop complex that utilizes the described methodology for integrating the information flows from various situational centers. This would ensure the adaptive dynamic transformation of incoming data and their further use within the situational center.

Functionality of the system of information security in automated data processing systems in the conditions of external intrusions by analogy with the human immune system

This article is dedicated to construction of the system of information security in automated data processing systems that function by analogy with the human immune system. The subject of this research is the development of the procedure for countering external intrusions of viruses, spam, and other destructive software programs in automated data processing systems. The object of this research is the systems of ensuring information security in automated data processing systems and human immune system. Methodological research on elaboration of the procedure for identification of intrusion is conducted via methods of artificial intelligence, systemic analysis, theory of neural and immune systems in the sphere of ensuring information security based on the achievements of systemic analysis and a systemic-conceptual approach towards information security in automated data processing systems. The main result lies in the developed general procedure for the functionality of the system of ensuring information security in countering external intrusions in the form of block-diagram and its description. The procedure is based on the idea of similarity in functionality of the mechanisms and procedures for protection against external intrusions in both, human immune system and automated data processing system, as well as drawing parallel between them. The main peculiarity of the developed procedure lies in its applicability to the accepted classification of the initial external environment of intrusion onto physical, information, field, and infrastructure environments. Such approach guarantees the novelty of the development from the perspective of constant updating of human immune system countering mechanisms to the external intrusions and its application for each environment in applicable to automated data processing systems.

Development of the structure of information system for supporting the activity of nonprofit horticultural partnerships

The developed automated system of information support for nonprofit horticultural partnerships (NHP) is intended for automation of management accounting of the economic activities of NHP. The effective management of the activity of nonprofit horticultural partnerships requires operating full, accurate, objective and timely economic information. This can be achieved through management accounting of the economic activity of NHP. The subject of this research is the methods of automation of control, monitoring and support of the establishment of management reporting of NHP. The object of this research is the information systems functioning within the “client-server” architecture. The research methods include the apparatus of relational algebra, theory of sets, optimization and mathematical statistics. It is noted that the activity of many NHP is carried out in the so-called “manual mode”, i.e. all necessary documents the employees fill by hand, and all calculations are by means of calculator. This substantiates the relevance of this research. Leaning on the conducted comparison of software products-analogues based the Saati method, the software “Info-Accountant for NHP” is chosen as a prototype. The author determines and describes the main algorithms of the developed system, the peculiarity of which is the formation of balance sheet and reports of its implementation, calculation of membership fees, introduction of the function of subsystem of NHP reference books(of the owners of land plots, streets, tariffs, expenditures, etc.). The output data is provided in form of a chart on the display form of the report subsystem. The scientific novelty lies in the suggested approach towards automation of accounting:  development of the forecast for pumping up the budget based on the previous periods.

Analysis of velocity and trajectory in the group pursuit tasks

This article discusses how to the goal pursuers can simultaneously achieve their goals in the group pursuit task. The proposed pursuit model suggests the pursuer to follow the set motion pattern, which is structured at each point of time. Such trajectory is a compound curve that takes into account the curvature constraints. The time of achieving the goal of each pursuer depends on the velocity and minimum radius of curvature of the trajectory. Multi-factor analysis of velocity modules and minimum radius of curvature of the trajectories of each pursuer for simultaneous achievement of their goals is the focus of this research

Detection and interpretation of erroneous data in statistical analysis of consumption of energy resources

Monitoring and analysis of consumption of energy resources in various contexts, as well as measuring of parameters (indicators) in time are of utmost importance for the modern economy. This work is dedicated to examination and interpretation of the anomalies of collecting data on consumption of energy resources (on the example of gas consumption) in the municipal formation. Gas consumption is important for the socioeconomic sphere of cities. Unauthorized connections are the key reason for non-technological waste of the resource. The traditional methods of detection of stealing of gas are ineffective and time-consuming. The modern technologies of data analysis would allow detecting and interpreting the anomalies of consumption, as well as forming the lists for checking the objects for unauthorized connections. The author’s special contribution lies in application of the set of statistical methods aimed at processing and identification of anomalies in energy consumption of a municipal formation. It is worth noting that the use of such technologies requires the development of effective algorithms and implementation of automation and machine learning algorithms. The new perspective upon time-series data facilitates identification of anomalies, optimization of decision-making, etc. These processes can be automated. The presented methodology tested on time-series data that describes the consumption of gas can be used for a broader range of tasks. The research can be combined with the methods of knowledge discovery and deep learning algorithms.

Design of K-W-NET model of turbulence based on K-W/V2-F models with the neural network component

The subject of this article is the models of turbulence based on introduction of neural network components into the widespread standard semi-empirical models. It is stated that such technique allows achieving significant acceleration of calculation while maintaining sufficient accuracy and stability, by training neural network components based on the data acquires with the use of fairly accurate and advanced models, as well as replacing and complementing separate fragments of the initial models with such components. An overview is give on the existing classical approaches towards modeling of turbulence, which allows determining the V2-F model suggested by Durbin as one of the most advanced, and thereby promising, with regards to subsequent neural network modifications. The author offers the new model of turbulence based on K-W models paired with a neural network component trained in accordance with the V2-F Durbin model. All necessary ratios are provided. The properties of the obtained model are examined in terms of the numerical experiment on the flow over of a single obstacle. The results are compared with data acquired from other semi-empirical models (K-E, K-W), as well as via direct neural network model. It is demonstrated that the proposed model, with less computational labor output in comparison with other models (excluding direct neural network, which, however, is less accurate), provides high precision close to precision of the Durbin model.

Graphic optimization model of the process of welding products by a robot based on Radishchev blueprint

This article reviews the example of using a geometric model of a hypersurface in multidimensional space on the Radishchev blueprint, which reflects interconnection between the four variables in solution of one of the tasks associated with structuring the technological process fulfilled by a welding robot. In structuring technological processes related to welding, it is necessary to solve the optimization task of determining the position of the foundation of welding robot relative to the welded brackets and the axis of the container of cylindrical shape. The welding process requires finding the most optimal welding robot, the geometric model of the kinematic chain of which would move the output link and welding head across all sections of welding seams. As an example, the author reviews the case when the robot is outside the cylindrical container, and welding objects inside and outside. For carrying out the optimization task, the author examines the correlation between the parameters that determine the position of the robot relative to the container, and the minimum possible vertical displacement of the center of the output link based on the graphic optimization model.  The multicomponent system comprised of the four parameters is studied based on the Radishchev blueprint. The author drew the combinations of curves that set the framework of curve lines of the dual level of the hypersurface in the four-dimensional space. For determination of the curves, the author found the combinations of projections of the dots on the Radishchev blueprint. The use of dual level lines on the Radishchev blueprint allowed determining most optimal position of the manipulator mechanism with regards to the cylindrical surface in welding the items for various industrial robots described in this article.

The peculiarities of design and development of software in the context of digitalization of natural science education

The goal of this research is to develop the theory and practice of synergetic design and development of software for digital physical laboratories to increase the level of compliance of behavior of the object with reality and reduce the level of student’s immersion into the virtual environment. One of the tasks for achieving this goal lies in using a synergetic aspect in design and development of software for implementation in the process of teaching natural science disciplines, which allows consolidating virtuality and reality of the surrounding world. In the course of this research, the authors substantiate the synergetic aspect in the development of software for digital laboratories in the context of taking higher school physics. The authors build the main scenario and functional scheme of the software product, which are realized on the high-level C++ language using OpenGL libraries. Software implementation of the digital physical laboratory required preparation of videos with a series of physical experiments, determination of the course of execution of laboratory task, and examples of “returning” from virtual reality.  The developed use case diagram of the actors allowed determining the behavioral pattern of the parties to the development, as well as using the digital physical laboratory in the educational process. Synergetic aspect and possibility of its implementation were tested on the example of digital laboratory work in the context of studying the pendulum motion and fall of bodies. The promising development trend is the design and implementation of software products for determination of synergistic effects in studying the sections of optics and thermodynamics.