Software & Systems

Articles of journal № 4 at 2021 year.

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11. 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: 2905
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.

12. Using discrete optimization tools to classify cognitive deficits: special aspects of using the minimax and additive criterion [№4 за 2021 год]
Authors: Razumnikova O.M., Mezentsev Yu.A., Pavlov P.S., Tarasova I.V., Trubnikova O.A.
Visitors: 3363
The paper devoted to the development of discrete optimization methods for solving the applied problem of clustering the cognitive resources of patients with coronary artery disease (CAD). The methods reflect the prospects of their surgical treatment. Many indicators of different cognitive functions and brain activity are used to determine the cognitive deficits associated with aging and concomitant cerebrovascular atherosclerosis. Coronary artery bypass grafting, which is widely used to treat CAD patients, increases the risk of postoperative cognitive deficits. In this regard, it is im-portant to identify the most informative markers of the cognitive status in patients in the preopera-tive state. To classify this state, the authors use the hemispheric activity characteristics, i.e. lateral-ized power of the theta, alpha, and beta rhythms together with the indicator of minimal cerebral dys-function (MMSE) and the integral cognitive indicator based on a set of parameters obtained during a recording sensory-motor responses and testing attention and memory in 114 male patients admitted to the clinic for coronary artery bypass grafting. The average patient’s age is 55.9 ± 5.3 years; 90 of them had secondary education and 32 had higher education. The results of computational experiments with clustering indicators of psychometric and neuro-physiological testing of CAD patients have shown the effectiveness of the developed toolkit for clustering by the discrete optimization means and the best discriminatory capabilities due to the ad-ditive criterion.

13. 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: 2786
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.

14. 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: 3160
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.

15. 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: 3386
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.

16. Thermodynamic constraints and information conditions of intelligent cognitive control stability, controllability, and robustness [№4 за 2021 год]
Authors: Ulyanov, S.V., Shevchenko A.A., Shevchenko A.V., Tyatyushkina O.Yu.
Visitors: 3076
The paper considers information and physical (entropy and energy) patterns, as well as the features of the model of a quantum strong artificial computational intelligence as a self-organizing intelli-gent control system. The model is based on the principles of minimal information entropy (in the “intelligent” space state of control signals) and the minimal generalized thermodynamic measure of the entropy production in the unified system “control object + intelligent cognitive controller”. The main result of applying the self-organization process is the guaranteed possibility of achieving the necessary reliability and flexibility level of the reproducible structure of the cognitive intelligent control system. The paper briefly describes the main physical principles of management processes allowing es-tablishing the relationship between the qualitative characteristics of the dynamic behavior of the control object and the executive device of the automatic control system: control stability, controlla-bility, and robustness. To achieve this purpose, it uses the information and thermodynamic ap-proaches that combine dynamic stability (Lyapunov function), controllability and robustness crite-ria by a homogeneous condition. The authors give the relations between the amount of pure work, information and the extracted free energy, which confirm the possibility of increasing the intellectual control system robustness due to the production of entropy of a cognitive controller that reduces the loss of the useful re-source of the control object. In turn, the negative entropy of cognitive control reduces the require-ments for the minimum initial information to achieve robustness. Based on the retrieved infor-mation from the cognitive controller knowledge base, it is possible to obtain an additional resource for useful work, which is equivalent to a targeted action on the management object, ensuring the management goal achievement.

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