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15th International Conference on Optimization and Applications, OPTIMA 2024

作者： Olenev, Nicholas Federal Research Center "Computer Science and Control" of the Russian Academy of Science Moscow Russia

ISBN: (纸本)9783031791185

The paper identifies an endogenous production function for the U.S. economy, represented by the distribution of production capacities across technologies with finite lifetimes. Technology characteristics (initial labor and capital intensity) are determined during the creation of the production unit. The microeconomic description of the model is based on the hypothesis that production capacity decreases with age, while the number of jobs remains the same until the production unit is liquidated when its lifetime limit is exceeded. Initial labor and capital intensity may decrease under the influence of scientific and technological progress. The parameters of the production function built on the basis of microeconomic description are determined by parallel calculations indirectly by comparing the model-calculated and statistical time series of macro-indicators of the U.S. economy in 1970–2022. A preliminary economic interpretation of the obtained results is presented. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Endogenous production function Parameter identification Production capacity U.S. economy Vintage capacity model

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Lattice Boltzmann Algorithm for Vessel Enhancement Problems

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Lobachevskii Journal of Mathematics 2024年第11期45卷 5823-5830页

作者： Ilyin, O.V. Federal Research Center ‘‘Computer Science and Control’’ of the Russian Academy of Sciences Moscow 119333 Russian Federation

Abstract: In this paper, a five-velocity lattice Boltzmann model with multiple non-constant relaxation times is applied for modeling anisotropic diffusion processes with applications to vessel enhancement problems. The proposed algorithm is as follows. First, the Frangi vesselness function is evaluated. In the non-vessel regions a lattice Boltzmann model for the Perona–Malik nonlinear diffusion equation is adopted in order to damp noise. In the regions with vessel-like structures a lattice Boltzmann model for coherence-enhancing anisotropic diffusion process is employed. It is shown in the numerical experiment that the proposed approach is efficient for noise removal, coherence enhancement and eventual binarization of vessel trees in synthetic images. © Pleiades Publishing, Ltd. 2024.

关键词： lattice Boltzmann method nonlinear anisotropic diffusion vessel enhancement

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Fault-Tolerant Self-Timed Counters

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russian Microelectronics 2024年第8期53卷 798-802页

作者： Zatsarinny, A.A. Stepchenkov, Yu. A. Diachenko, Yu. G. Khilko, D.V. Orlov, G.A. Diachenko, D. Yu. Institute of Informatics Problems Federal Research Center "Computer Science and Control" of Russian Academy of Sciences Moscow119333 Russia

Abstract: The article studies the fault-tolerant self-timed (ST) counter design problem. Combinational ST circuits have a higher fault tolerance in comparison with synchronous counterparts due to redundant information coding and mandatory acknowledgment of all initiated circuit cells’ switch completion. Sequential ST circuits, including counters, are more sensitive to soft errors because a soft error can change a state stored by their memory cells. For their fault-tolerant implementation, special circuitry methods, namely DICE and Quatro, are used. They are similar to the data processing channel duplication, but use transistor cross-connection in the circuit cells. This approach significantly reduces the likelihood of a change in the counter bit’s state due to a soft error. The article proposes DICE-type and Quatro-type ST counter cases, compares their features, and resumes recommendations for the fault-tolerant ST counter implementation. © Pleiades Publishing, Ltd. 2024.

关键词： Combinatorial circuits

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Quantum Mechanical Simulation of Polarization Switching in HfO2 Crystals

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russian Microelectronics 2023年第8期52卷 805-809页

作者： Zhuravlev, A.A. Abgaryan, K.K. Reviznikov, D.L. Federal Research Center "Computer Science and Control " Russian Academy of Sciences Moscow119333 Russia

Abstract: Int this paper, we study the process of changing the polarization of hafnium oxide crystals in the orthorhombic phase associated with the gradual weakening of polarization effects in FeRAM elements based on thin films of hafnium oxide HfO2. To solve the problem, quantum mechanical calculations of the structure of orthorhombic hafnium oxide are performed, a possible way of crystal restructuring during a change in polarization when a voltage is applied is identified, and its optimization is carried out using the elastic band method. The values of the change in polarization and the energy barrier of the corresponding transition are obtained. The stability of this transition is studied. The results of a series of computational experiments using high-performance computing systems of hybrid architecture based on the center for Collective Use at the federal research center "computer science and control" are presented. An analysis of the results shows that, despite the low energy barrier of the transition, the probability of a spontaneous change in polarization is low due to the impossibility of changing the polarization of an individual cell with no allowance for the effect of the polarizations of the neighboring cells. © Pleiades Publishing, Ltd. 2023.

关键词： Polarization

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From Digital Management Platform Development to a computer-Aided Crop Rotation Engineering System in Agriculture 17

From Digital Management Platform Development to a Computer-A...

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17th International Conference on Management of Large-Scale System Development, MLSD 2024

作者： Medennikov, Viktor Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Information and Computing Systems Department Moscow Russia

ISBN: (纸本)9798350375718

Thepaper deals with a formalized description of a computer-aided crop rotation engineering system based on a mathematical crop system optimization model implemented in the digital platform for industry management that would offer an ontological and functional integration of farming industry objectives from the joint science-based point of view. The paper demonstrates that when it comes to the digital economy, crop rotation should be the focal point in precision agriculture that all the farming processes are based on. © 2024 IEEE.

关键词： Crop rotation

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A Model of Investment Policy of Firms 15th

A Model of Investment Policy of Firms

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15th International Conference on Optimization and Applications, OPTIMA 2024

作者： Olenev, Nicholas Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9783031791185

The microeconomic description of the investment policy of a firm in a market-type economic system is presented. Firms differ from each other by the moment of creation and are limited liability companies. At the moment of creation, the firm’s production capacity and its technology are set. Investments are made at the expense of borrowed funds provided by the banking system. An optimal control problem of economic activity of the firm is set and solved. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Banking System Investment Policy Optimal control Production capacity

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Improving Feasibility of Optimal control via Obtaining High-Precision Model 4th

Improving Feasibility of Optimal Control via Obtaining Hig...

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4th International Conference on Numerical Computations: Theory and Algorithms, NUMTA 2023

作者： Shmalko, Elizaveta Prokopiev, Igor Diveev, Askhat Yamshanov, Konstantin Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9783031812408

In the absence of any observation system or low veracity of the data, it is possible to provide control over a limited time interval basing on a high-precision control object model used. The paper proposes to use a multilayer artificial neural network (ANN) to obtain such a model. In this case, instead of the ordinary differential equation (ODE) system in the Cauchy form, we get a mixed ODE-ANN mathematical model, the parameters of which are tuned to the dynamics of a particular control object. The paper describes the process of identification of the control object model including obtaining a sufficient volume of the training sample. General data properties are formulated to obtain a good model from the point of view of use in control problems. The problem of optimal control for an object described with ANN-based model is formulated and numerical approach for its solution is proposed. An example of solving the optimal control problem for a mobile robot based on the identified neural network model is given. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Multilayer neural networks

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Predicting the Degradation Rate of Technical Systems at Early Stages of Development 8th

Predicting the Degradation Rate of Technical Systems at Earl...

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8th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2024

作者： Frenkel, Sergey Federal Research Center "Computer Science and Control" Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9783031769337

Safety of electronic and computer systems largely depend on their failure-free operation time ("lifetime" (LT)). The problem of predicting the degradation rate of technical system characteristics ("service life") which determines LT, is often solved within the accelerated testing (AT) paradigm. However, it has its own specifics for prototypes of devices produced at the early stages of development work, when, having only a small number of device copies, it is necessary to estimate their potential service life (LT), if this characteristic is decisive for assessing the feasibility of continuing the development. This may concern both technical devices (and elements of "Cyber-physical systems", in particular) and software products, for example, machine learning (ML) systems under development. This paper analyzes the extent to which state-of-the-art of machine learning (ML), as well as such specialized LT assessment models as selective censoring, Survival Analysis (SA), Extreme Value theory (EVT), allow obtaining service life forecasts for designed devices under real operating conditions at the early stages of development/design. The difficulties of solving the maintenance forecasting problem using traditional machine learning software tools are analyzed, and a heuristic method for solving the maintenance forecasting problem under given conditions is considered and proposed. It is noted that the problems under consideration have a similar fundamental nature for a wide variety of applications of electronic and computer technology, for which it is necessary to estimate the rate of degradation of efficiency. Examples will be given both from the modern practice of computer networks and from the practice of developing modern solar electric cells (SEC) of autonomous power supply, the lifetime of which is one of the factors of safe operation of various systems. At the same time, a common property of time series representing the efficiency of these systems in certain terms is, in

关键词： computer testing

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Extended Optimal control Problem for Practical Application 4th

Extended Optimal Control Problem for Practical Application

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4th International Conference on Numerical Computations: Theory and Algorithms, NUMTA 2023

作者： Diveev, Askhat Shmalko, Elizaveta Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9783031812408

To apply a solution of the optimal control problem directly to the control object for which model this problem was solved, it is necessary to build a system of motion stabilization along the obtained optimal trajectory. However, the construction of such a stabilization system is not provided in the classical formulation of the optimal control problem. Therefore, additional requirements for the properties of the optimal solution have been introduced into the optimal control problem. A formulation of the extended optimal control problem is introduced and the approaches to its numerical solution are discussed. One way to meet the introduced requirements is to build a stabilization motion system of an object along a program trajectory. As far as stabilization to the whole program trajectory, not from point to point on this trajectory, is rather challenging task, so for this, numerical methods of symbolic regression are proposed to be applied. The approach consists in application of machine learning by symbolic regression to the control synthesis problem. Symbolic regression allows to find a mathematical expression for control function as a function of the state space vector. Computational example of solving the extended optimal control problem for a robot group is presented. It is shown experimentally, that the solution of the extended optimal control problem is much less sensitive to disturbances, than a direct solution of the classical optimal control problem. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Stabilization

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Toward Supervised Deep Gaussian Mixture Models⋆ 27th

Toward Supervised Deep Gaussian Mixture Models⋆

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27th International Conference on Distributed computer and Communication Networks, DCCN 2024

作者： Gorshenin, Andrey Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9783031808524

The paper presents for the first time a methodology for solving supervised learning problems, such as classification and regression, based on deep Gaussian mixture models (DGMMs). We use a self-supervised approach to construct a classifier as well as a semi-supervised one for a regressor. More than 20 public UCI datasets with various parameters were used for testing. It has been demonstrated that the greatest increase in classification accuracy of 37.69% is achieved by using the ensemble of DGMM and extreme gradient boosting (XGBoost). The accuracy of this method exceeds that of the combination of GMM and SVM by 14.51%. The DGMM regression (DGMMR) analogue of the Gaussian mixture model regression (GMMR) is introduced as a semi-supervised learning algorithm. On the test data, the best results were shown by the ensemble of DGMMR and XGBoost regression. The accuracy of this method exceeded the combination with support vector machines regression (SVR), as well as variants of GMMR with SVR and linear regression with SVR by 3.58%, 11.63% and 32.78%, respectively. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Self-supervised learning

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