Software & Systems

Articles of journal № 4 at 2021 year.

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1. On the implementation of a multifunctional web-based system for recording and accounting the scientists’ intellectual activity [№4 за 2021 год]
Authors: S.A. Vlasova, N.E. Kalenov
Visitors: 4133
The paper describes a WEB-system that implements services related to the formation and provision of multi-sided information about the results of scientific activities (publications and reports at sci-entific events) achieved by the employees of one organization or a group of organizations. The sys-tem focuses both on the end user seeking to obtain specific data, and on the administrative staff who forms reporting materials for the superior organization. The information base of the system contains related data on the following object classes: per-sons (authors of publications and reports), organizations and their divisions; publications at the an-alytical, monographic and summary levels; author's certificates; scientific events (conferences, symposiums, seminars); reports. The system consists of two modules: administrative (for data input and editing) and user, which is a special search engine that searches for information and visualizes it, provides the ability to navigate through related resources and to export data. A distinctive feature of the system is the introduced concept of equivalent objects. The objects represented in the system by different metadata, but related to the same physical entity, are consid-ered equivalent. Such objects are “persons” corresponding to the same author with different spell-ings of their surname in the bibliographic entries of publications; organizations with different vari-ants of their names; papers published unchanged in different languages. In accordance with modern requirements for reporting on publications, the system shows the funding sources for scientific re-search, as well as the affiliations of each author indicated in the papers. The system has a user-friendly interface, which does not require special computer skills. This al-lows recommending it as a tool for solving a set of tasks related to evaluating the results of intellec-tual activity of employees of scientific institutions.

2. An ontological model of a product digital passport for the instrument-making industry [№4 за 2021 год]
Authors: Donetskaya J.V., Tkacheva E.V., Tokmakov A.A.
Visitors: 2881
The paper formulates design alternatives for a product digital passport components in the instru-ment-making industry based on the results of the analysis of the information interaction between enterprises at various stages of an electronic product life cycle. An ontological model of the knowledge database of an electronic product digital passport for the instrument-making industry has been developed based on the metamodels standard elements – objects, relations and functions. The development process involved forming the lists of design and production procedures in ac-cordance with electronic product life cycle stages, as well as attributes and data classes of the sub-ject area. The paper describes the properties and attributes of classes (subclasses) and restrictions on their values and data types, determines information objects of the ontological model, which in-cludes all possible options for describing components generalized for the instrument-making indus-try. The classification of the subject area terms is represented by hierarchical relationships accord-ing to the principle of inheritance of the object-oriented approach. Model classes are defined by sets of subject area terms using the Protégé system. The developed ontological model contains the complete data structure of the product being de-veloped at the enterprise with the corresponding procedures for the instrument-making industry. The list of generated descriptions of the digital passport components at a particular enterprise de-termines the possible options for the content of design solutions. As a utilization example, there is a demonstrating algorithm for introducing the proposed ontological model to an enterprise in the in-strument-making industry, which implements an electronic product digital passport to manage the internal processes of organizing production with the utilization of all stages of an electronic product life cycle. The resulting structure can be transferred to any other enterprise and industry, as part of the im-plementation of information structures of interaction when performing design work.

3. A software package for marking and unified description of an individual's face from a photo image [№4 за 2021 год]
Authors: V.N. Zvyagin , N.V. Narina , L.L. Usacheva , Fomina, E.E.
Visitors: 3132
The need to identify a person by a photo of his face arises for identity check, searching for crimi-nals, dead or missing people. The software products used in forensic practice are mainly intended for cranio-facial comparison when comparing the similar signs established from photos of a known person and the skull of an unknown person. For this purpose, forensic experts use a set of fixed points on the head and skull, but not always unambiguously identified on a plane image. To com-pare images, it would be rational to develop a unified algorithm for describing a face from a photo image and to create computer programs for automating the marking process and calculating dimen-sional physiognomic parameters. The paper describes the software package called Face Marking Database designed to implement these tasks. The package includes three modules: a module for entering the main characteristics of the studied object; a module for image marking intended for fixing reference points and their coor-dinates; a module for calculating distances and pointers to assess the face dimensional originality. The separation of distances into horizontal and vertical ones extends the possibilities of working with portrait photographs that have the face position not en face. The Face Marking Database allows receiving and storing in databases metric information about photographic images, which characterizes the individuality of each object and may be used to search for analogs or similar cases in forensic portrait and (or) forensic medical examination in cas-es of missing, hiding, unidentified people and in a comprehensive forensic medical examination of personal identification.

4. A software platform demonstrator for joint use of evidence theory algorithms and neural networks in fuzzy systems [№4 за 2021 год]
Authors: Ivanov V.K., Palyukh B.V.
Visitors: 3532
The diagnostics of a complex multi-stage technical process involves the joint primary data pro-cessing to obtain probabilistic characteristics of abnormal critical events or incidents under uncer-tainty. The paper presents the research demonstrator Status-4 that is a software platform prototype for joint using the evidence theory and neural network methods in fuzzy diagnostic systems. The purpose of the demonstrator development is to create a scientific and technical reserve for ready-to-implement solutions transfer to the next project stages. The demonstrator makes it possible to show the main platform functional components, assess their system readiness level, conduct the platform research tests, perform software implementations testing of the selected and theoretically confirmed methods in various modes, check the functioning operability and efficiency at various parameter values and their combinations quickly. The demonstrator shows the options for the joint application of neural network and evidence theory methods in a hybrid expert system for diagnos-tics process. In addition, these methods joint application effectiveness is experimentally confirmed in terms of reducing the uncertainty level and increasing the confidence in data level when making decisions. The demonstrator enables minimizing the key risks of creating a full-featured software platform for diagnosing and evaluating the complex multi-stage technologies state. The paper provides brief information about the demonstrator functionality, including the tech-nology description and the suppositions description about diagnostic variables influence on pro-cessing performance, loading incident descriptions into the technological database, forming hy-potheses about the incidents causes, generating production rules, adapting the parameters of the technology state assessing algorithms using neural network and fuzzy inference. The paper consid-ers the main data warehouse and object model parameters, provides the software implementation and user interface information and illustrates it by examples. It also highlights the used methods features, which allow us to hope for the effectiveness of their joint use in diagnostic systems.

5. A synthesis method for fuzzy controllers based on clustering [№4 за 2021 год]
Authors: Ignatyev, V.V., V.V. Solovev
Visitors: 3845
The goal of this work is to develop a method for synthesizing fuzzy controllers from experimental data based on clustering, since this is the simplest way to determine the number of membership functions and create a rule base. To achieve this goal, it is proposed to use experimental data on the input and output signals of the control system for a technical object with a classical controller. The developed method for data clustering is based on the experimental data and makes it possible to de-termine the term-sets of input and output linguistic variables of a fuzzy controller that implements the Mamdani fuzzy inference algorithm and to compose a rule base. Clustering is performed by evaluating the boundaries of the experimental data variation inter-vals, uniform division into clusters depending on the required power of term-sets of linguistic vari-ables and determining if the data belongs to certain clusters. Since the experimental data are con-nected, that is, for each moment of time, data on both the input and output signals of the classical controller are stored and their belonging to clusters is determined, the development of the fuzzy controller rule base does not cause difficulties. To simplify the research, the authors have developed software in the MatLab environment. It makes it possible both to obtain experimental data, to synthesize a fuzzy controller and check its performance. The control system model is developed in the Simulink environment, the method of clustering and determining the parameters of linguistic variables is implemented as a program in an m-file; the fuzzy controller is implemented in the Fuzzy Logic Toolbox extension package. The high degree of integration of MatLab expansion packages made it possible to simplify the procedure of synthesizing fuzzy controllers as much as possible and to reduce it to determining the number of input and output variables and analyzing the simulation results. The paper presents the process of filling connected containers as an example, its mathematical model is a second-order transfer function with delay. To select an optimal structure of a fuzzy controller, the authors have carried out a study based on experimental data. The results obtained in this work were compared with the classical PD-controller, the model of which was implemented in the Simulink environment. The research results will be useful for developers of fuzzy control models.

6. Analysis of hybrid controllers in control models of technical objects operating in changing conditions [№4 за 2021 год]
Authors: Ignatyev, V.V., V.V. Solovev , Beloglazov D.A.
Visitors: 3462
The paper analyzes hybrid controllers for control models of technical objects operating in changing conditions. It also considers the models which involve control based on hybrid controllers imple-mented on the basis of sequential interaction between PI- and IPI-FUZZY-controllers and PID- and IPD-FUZZY-controllers with the generated structure of the Sugeno-type fuzzy inference system and the developed ANFIS model. In hybrid controllers, the fuzzy controller rule base is formed automatically using a specially developed algorithm based on data obtained from a classical controller with subsequent training us-ing a neural network. The ANFIS design principle in the form of a hybrid network for PI and IPI-FUZZY controllers is the use of the output signal error indicators, its integral (differential for PID and IPD-FUZZY controllers) and control action. The following aspects have become the develop-ment features. In order to test the hybrid network efficiency to identify the fact of its retraining, the authors used the data obtained as a result of the classical regulator operation; to form a training sample for building a hybrid network they used the data obtained as a result of the fuzzy regulator operation. This makes it possible to exclude expert’s participation in the synthesis of the fuzzy con-troller rule base and to ensure efficient and robust control of an object functioning in unforeseen external situations. The IPI-FUZZY-controller and the IPD-FUZZY-controller have shown better quality indicators comparing to the corresponding classical ones, which makes it possible to recommend using in real control systems. The presented models were developed in the Simulink environment and the ANFIS editor of the Fuzzy Logic Toolbox extension package.

7. A model for the forming operational knowledge for an expert system for providing radioelectronic facilities with spare parts, tools and accessories [№4 за 2021 год]
Authors: S.V. Ignatev, A.V. Krasnikov , А.А. Оsipov, Shatalina N.V.
Visitors: 2938
The paper justifies the reason for forming knowledge as a way of obtaining it for an expert system that provides radioelectronic facilities with spare parts, tools and accessories. It defines the type of knowledge as operational according to the classification. The paper reveals that for the subject area under consideration, such knowledge is at the system level in the form of regularities between the parameters of the support system elements: service per-sonnel, radioelectronic facilities, transport system, storage bases of various hierarchical levels, re-pair and production enterprises. To obtain them, the authors use the method of knowledge formation by developing a specialized mathematical apparatus based on modeling and identifying the required patterns that form the basis of new knowledge. The main provisions of the work are related to constructing a model for forming operational knowledge for an expert system for providing radioelectronic facilities with spare parts, tools and accessories. The first stage involves determining the model structure and parameters. The second stage includes developing a formalized description of radioelectronic facilities, storage bases, a re-pair enterprise, a production enterprise, taking into account the parameters of the service personnel and the transport system. The third stage synthesizes a formalized description of the support system elements into a single model and determines an approach to obtaining the initial data for forming the expert system operational knowledge. The result of the work done is the software product called the Instrumental environment for forming operational knowledge for the expert system for providing radioelectronic facilities with spare parts.

8. Information and software support for a hybrid intelligent control system in process control [№4 за 2021 год]
Authors: Kornyushko V.F., A.S. Kuznetsov, Sadekov L.V.
Visitors: 2574
The paper discusses the issues related to the development of information support and software tools for hybrid intelligent systems used for decision-making in managing technological processes. It considers the features of constructing hybrid systems that include physical models based on analyt-ical devices that simulate technology (including sensors, control and regulation systems) and artifi-cial intelligence systems for solving research problems and optimal technology control. There is a detailed description of a hybrid system for intelligent control of the technology of mixing and struc-turing of elastomeric composites using the RPA-2000 device. It is shown that the use of systems that implement the competence-based approach allows making decisions in a complex technological en-vironment, when managerial decisions are ambiguous and may be insufficiently effective leading to product rejects. The indicators for quantitative assessing the processes of mixing and structuring elastomeric composites are found using standardized probabilistic models. These indicators are reasonable to take into account when solving the problems of controlling the mixing and structuring processes. It is shown that all the accumulated technological information is stored in the database of standard rheograms of the state of elastomeric composites, as well as in the knowledge base for the control and management of mixing and structuring of elastomeric composites in the form of production rule sets. The principles of control and management are formed in the production language, and on they became the basis in the MATLAB for building a decision support system for solving problems of situational control and optimization. Using the example of constructing kinetic curves, it is shown that the use of new quantitative characteristics such as the structuring rate, process acceleration, and generalized acceleration sig-nificantly expands the predictive capabilities of rheograms and thus contributes to an increase in the quality and efficiency of process control.

9. A software package for computer modeling of parametric identification processes for mathematical models of convection-diffusion transfer [№4 за 2021 год]
Authors: Kuvshinova A.N., Tsyganov A.V.
Visitors: 2761
The paper describes a software package for computer modeling of parameter identification process-es of one-dimensional mathematical models of convection-diffusion transfer with constant coeffi-cients under noisy measurement conditions. The parameter identification methods implemented in the software package are based on the transition from a mathematical model described by partial differential equations with initial and boundary conditions to a model described by a linear discrete stochastic system in the state space with noisy measurements followed by the application of optimal discrete filtering and parameter identification methods to this system. The software package is written in MATLAB and is a set of functions and scripts for construct-ing a finite-difference grid, discretizing the original problem, constructing a solution to the original problem by the finite difference method, modeling experimental data, numerical identification of boundary conditions, identification of the convection velocity and diffusion coefficient, as well as performing various auxiliary operations, such as: visualization of results, conducting numerical ex-periments, etc. The identification of boundary conditions is performed using the algorithm of S. Gillijns and B. Moore for simultaneous estimation of the state vector and the unknown control vector of a linear dynamic system. The identification of the convection velocity and the diffusion coefficient is per-formed by minimizing the identification criterion taken in the form of a logarithmic likelihood func-tion based on the values calculated by the Kalman filter. The minimization of the identification cri-terion is performed using the functions of the MATLAB system for gradient-free and gradient opti-mization. The paper gives a detailed description of the software package and the results of computer mod-eling confirming the operability of the algorithms.

10. A comparative analysis of the parallel cluster multiple labeling technique on various sections of the MVS-10P OP supercomputer [№4 за 2021 год]
Author: S.Yu. Lapshina
Visitors: 3357
The paper provides a comparative analysis of the Parallel Cluster Multiple Labeling Technique on five different sections of the MVS-10P OP supercomputer (taking into account the addition of a new section in 2021 and modernization of existing ones) installed at the JSCC RAS. At the JSCC RAS, the Parallel Cluster Multiple Labeling Technique is used to study the process-es of epidemic spread. At the same time, it is a versatile tool that can be used in any field as a tool for differentiating large lattice clusters receiving data as input in an application-independent format. There are known developments using this algorithm to study the processes of water flow through porous materials, the behavior of oil reservoirs, and the spread of forest fires. The supercomputer simulation experiment involved the improved version of the technique for multiple labeling of Hoshen-Kopelman percolation clusters associated with the labels linking mech-anism improved for using on a multiprocessor system. The paper provides a comparative analysis of the execution time of the algorithm for multiple marking of Hoshen-Kopelman percolation clusters at full load of computing nodes and different values of input parameters on five partitions (Broadwell, Cascadelake, Skylake, Optan, KNL) of the MVS-10P OP supercomputer installed at the Interdepartmental Supercomputer Center of the Rus-sian Academy of Sciences.

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