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The Relevance of the Problem of Synthesis of New Materials in Conditions of Innovative Industrial Development

Russian Microelectronics 2023年第8期52卷 810-816页

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

Abstract: This article discusses current problems of the synthesis of new materials in modern conditions. Today this is the most important strategic task for the innovative development of Russian industry. The factors determining the relevance of this task are formulated. A brief analysis of the state of Russian microelectronics is given. The importance of mathematical modeling methods and the need to develop innovative approaches in the field of the synthesis of new materials are shown. The main directions of scientific research related to the development of new model concepts, methods, and algorithms used in the field of mathematical modeling of the structures and properties of nanomaterials, as well as systems based on them, discussed at the IV International Conference "Mathematical Modeling in Materials science of Electronic Components" (ICM3SEC-2022), are highlighted. This paper shows that for the further development of methods and means of mathematical modeling, a domestic high-performance environment for scientific research is required, with a comfortable user interface, flexibility in setting up resources, high performance, and reliability. © Pleiades Publishing, Ltd. 2023. ISSN 1063-7397, Russian Microelectronics, 2023, Vol. 52, No. 8, pp. 810–816. Pleiades Publishing, Ltd., 2023. Russian Text The Author(s), 2023, published in Izvestiya Vysshikh Uchebnykh Zavedenii, Elektronika, 2023, Vol. 26, No. 4.

关键词： Microelectronics

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The Main Scientific and Technical Problems of Using Hybrid HPC Clusters in Materials science

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Russian Microelectronics 2020年第8期49卷 574-579页

作者： Volovich, K.I. Denisov, S.A. Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences Moscow119333 Russia

Abstract: The article discusses the use of hybrid HPC clusters for the execution of software designed to calculate the electronic structure and atomic scale materials modeling. Modern software systems, which are designed to solve the problems of materials science, use the capabilities of various hardware computing accelerators to increase productivity. The use of such computing technologies requires the adaptation of application program code to hybrid computing architectures, which include classic central processing units (CPUs) and specialized graphics accelerators (GPUs). The use of large computing hybrid systems requires the development of methods for ensuring the workloading of such computing systems that will allow efficient use of computing resources and avoid equipment downtime. First of all, these methods should allow parallel execution of user applications using computational accelerators. However, in practice, software environments designed to solve application problems cannot be deployed in the same computing environment due to software incompatibility. In order to overcome this limitation and ensure the parallel execution of diverse types of materials science tasks, the creation of individual task execution environments based on virtualization technologies and cloud technologies. The continuation of virtualization technologies and the provision of cloud services is the construction of digital platforms. The article proposes the use of a digital platform for hosting scientific materials science services that provide calculations using various application software systems. Digital platforms make it possible to provide a unified user interface to scientific materials science services. The platform provides opportunities for finding the necessary scientific services, transferring source data and results between users, the platform and hybrid high-performance clusters. © 2020, Pleiades Publishing, Ltd.

关键词： Application programs

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System Interface of Scientific Services of a Digital Platform for Multiscale Modeling

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Russian Microelectronics 2021年第8期50卷 638-643页

作者： Kondrashev, V.A. Denisov, S.A. Federal Research Center "Computer Science and Control " Russian Academy of Sciences Moscow119333 Russia

Abstract: The paper deals with the formation of system interfaces of a digital platform to manage the process of providing scientific services, including integration of scientific services to solve a complex research problem, for example, the multiscale modeling of the properties of new materials or conducting interdisciplinary research. Based on the functional structure of the integration of the scientific services of a digital platform (as applied to multiscale modeling) presented in this study, the requirements for the system interface are formulated, and the architecture of the system interface for the integration of scientific services of the digital platform is proposed. The proposed model of a system interface for informational interaction with the services and datasets of a digital platform in management processes for the provision of scientific services is based on modern solutions for managing a virtual infrastructure, based on container processing technologies and microservices, as well as means of orchestration and communication of containers (service mesh) and agile integration technologies. Taking into account the fact that the main function of the digital platform is to ensure the processes of preparation and conduct of research by formalizing the interaction scenarios of researchers, suppliers (sources) of the initial data, and consumers of the results, together with tools for supporting system interfaces to the catalogs of the digital platform, the project offers tools for organizing the interaction of services registered on the platform in order to ensure the execution of scientific research. Synchronization of the processes of providing services, ensuring the transfer of data between services, and obtaining the final result are also ensured through the implementation of control processes of the digital platform, which is based on the proposed system interface. The developed model of system interfaces is new in this work. The proposed interaction i

关键词： Containers

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Simulation Modeling of an Analog Impulse Neural Network Based on a Memristor Crossbar Using Parallel Computing Technologies

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Russian Microelectronics 2023年第8期52卷 786-792页

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

Abstract: The issues of simulation modeling of an analog impulse neural network based on memristive elements in the problem of pattern recognition are studied. Simulation modeling allows us to configure the network at the level of a mathematical model, and subsequently use the obtained parameters directly in the process of operation. The network model is given as a dynamic system, which can consist of tens or hundreds of thousands of ordinary differential equations. Naturally, there is a need for an efficient and parallel implementation of an appropriate simulation model. Open multiprocessing (OpenMP) is used as the technology for parallelizing calculations, since it allows us to easily create multithreaded applications in various programming languages. The efficiency of parallelization is evaluated on the problem of modeling the process of training the network to recognize a set of five images of a size of 128 by 128 pixels, which leads to the solution of about 80 000 differential equations. In this problem, the calculations are accelerated by a factor of over six. According to the experimental data, the operating character of memristors is stochastic, as shown by the scatter in the current-voltage characteristics (VACs) when switching between high-resistance and low-resistance states. To take this feature into account, a memristor model with interval parameters is used, which gives upper and lower limits on the values of interest, and encloses the experimental curves in corridors. When simulating the operation of the entire analog self-learning impulse neural network, in each epoch of training, the parameters of the memristors are set randomly from the selected intervals. This approach makes it possible to dispense with the use of a stochastic mathematical apparatus, thereby further reducing computational costs. © Pleiades Publishing, Ltd. 2023. ISSN 1063-7397, Russian Microelectronics, 2023, Vol. 52, No. 8, pp. 786–792. Pleiades Publishing, Ltd., 2023. Russian Te

关键词： Memristors

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A Semantic Approach to Workflow Management and Reuse for research Problem Solving

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Data Intelligence 2022年第2期4卷 439-454页

作者： Nikolay A.Skvortsov Sergey A.Stupnikov Federal Research Center"Computer Science and Control"of the Russian Academy of Sciences Moscow 119333Russia

The investigation proposes the application of an ontological semantic approach to describing workflow control patterns,research workflow step patterns,and the meaning of the workflows in terms of domain *** approach can provide wide opportunities for semantic refinement,reuse,and composition of *** reasoning allows verifying those compositions and implementations and provides machine-actionable workflow manipulation and problem-solving using *** described approach can take into account the implementation of workflows in different workflow management systems,the organization of workflows collections in data infrastructures and the search for them,the semantic approach to the selection of workflows and resources in the research domain,the creation of research step patterns and their implementation reusing fragments of existing workflows,the possibility of automation of problemsolving based on the reuse of *** application of the approach to CWFR conceptions is proposed.

关键词： Workflow reuse Workflow patterns,Domain ontology Canonical workflow framework for research,CWFR Principles of FAIR data

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Node-Decomposition Privacy-Preserving for Finite-Time Secondary control of DC Microgrids

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IEEE Transactions on Smart Grid 2025年

作者： Wu, Han Zhu, Si-Min Chai, Li Zhu, Zhen-Hua Tian, Yu-Chu Wuhan University of Science and Technology Engineering Research Center of Metallurgical Automation and Measurement Technology School of Artificial Intelligence and Automation Wuhan430081 China Zhejiang University State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Hangzhou310027 China Huzhou Institute of Industrial Control Technology Huzhou China Queensland University of Technology School of Computer Science BrisbaneQLD4001 Australia

In the distributed secondary control of DC microgrids, achieving both rapid convergence and robust information security is critical for enhancing control performance and maintaining power quality. However, current privacy-preserving approaches often compromise either control performance or privacy preservation performance. To address this challenge, this paper presents a node-decomposition privacy-preserving (NDPP) method for fully distributed, finite-time secondary control in DC microgrids. By splitting each node in the communication graph into multiple sub-nodes, the method enhances both convergence speed and privacy preservation without sacrificing control accuracy. Sub-nodes communicate within groups, and the topology of the generated graph is concealed from malicious nodes and eavesdroppers. Theoretical analysis is provided to prove finite-time voltage regulation and current sharing with privacy preservation against malicious nodes and external eavesdroppers. Simulations are conducted to verify the effectiveness of the method in maintaining control performance and power quality. © 2010-2012 IEEE.

关键词： Privacy by design

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Adaptive ELM-Based Time-Constrained control of Uncertain Robotic Manipulators With Minimum Learning Computation

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IEEE Transactions on Emerging Topics in Computing 2025年

作者： Jin, Xiaozheng Hou, Yuhan Wu, Xiaoming Chi, Jing Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Shandong Jinan250353 China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Shandong Jinan250013 China Qilu Institute of Technology School of Intelligent Manufacturing and Control Engineering Shandong Jinan250200 China Shandong University of Finance and Economics School of Computing and Artificial Intelligence Shandong Jinan250014 China

This paper studies the extreme learning machine (ELM)-based time-constrained trajectory tracking control of a class of robotic manipulator systems with model/input uncertainties, matched and mismatched disturbances. A uniform robust exact differentiator (URED) is developed to construct a multi-layer virtual control framework of the robotic manipulator system. Under the control framework, adaptive ELM-based control strategies are proposed to suppress the influence of the uncertainties and disturbances layer-by-layer, combining with the minimum learning parameter (MLP) technique which is employed to reduce the calculation complexity of ELM parameters. The significance of this study is that general model/input uncertainties, matched and mismatched disturbances can be effectively compensated within a limited time, so that bounded trajectory tracking of the robotic manipulator can be achieved avoiding the complexity explosion issue. The time-constrained stability of the closed-loop robotic error systems is proved through Lyapunov stability theory. Finally, comparative simulations are employed to display the feasibility and superiority of the designed robust adaptive ELM-based control schemes of a robotic manipulator system. © 2013 IEEE.

关键词： Robust control

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MULSAM: Multidimensional Attention with Hardware Acceleration for Efficient Intrusion Detection on Vehicular CAN Bus

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IEEE Transactions on computer-Aided Design of Integrated Circuits and Systems 2025年

作者： Xu, He Shi, Xiaokang Liu, Hansheng Wang, Yanwen Lu, Jiwu Zeng, Haibo Li, Renfa Wu, Di Hunan University National Engineering Research Center for Robot Visual Perception and Control Technology Hunan Changsha410082 China Hunan University College of Electrical and Information Engineering Hunan Changsha410082 China Hunan University Shenzhen Research Institute Shenzhen518000 China Virginia Tech Department of Electrical and Computer Engineering BlacksburgVA24061 United States Hunan University College of Computer Science and Electronic Engineering Hunan Changsha410082 China

controller Area Network (CAN) protocol is an efficient standard enabling communication among Electronic control Units (ECUs). However, the CAN bus is vulnerable to malicious attacks because of a lack of defense features. In this article, a novel vehicle Intrusion Detection System (IDS) is developed. The challenge is that existing techniques of Intrusion Detection Systems (IDS) rarely consider attacks with small-batch, which are characterized by their small attack scale and concealed attack patterns, posing a significant threat to driving safety. To solve this problem, we developed an algorithm model that merges Multi-dimensional Long Short-Term Memory (MD-LSTM) and Self-Attention Mechanism (SAM), shortly named MULSAM. The MULSAM model was compared with other baseline models, including Stacked LSTM, MD-LSTM, etc. Experiments show that our approach has the best detection accuracy (98.98%) and training stability. Further, to speed up the inference of MULSAM on edge, the hardware accelerator is implemented on FPGA devices using technologies such as parallelization, modular, pipeline, and fixed-point quantization. Experiments show that our FPGA-based acceleration scheme has a better energy efficiency than the CPU platform. Even with a certain degree of quantification, the acceleration model for MULSAM still displays a high detection accuracy of 98.81% and a low latency of 1.88 ms. © 1982-2012 IEEE.

关键词： Intrusion detection

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Novel design of fractional cholesterol dynamics and drug concentrations model with analysis on machine predictive networks

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computers in Biology and Medicine 2025年 184卷 109423-109423页

作者： Raja, Muhammad Junaid Ali Asif Hassan, Shahzaib Ahmed Chang, Chuan-Yu Raza, Hassan Mubeen, Rikza Masood, Zaheer Raja, Muhammad Asif Zahoor Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin Douliu64002 Taiwan Federal Medical and Dental College Shaheed Zulfiqar Ali Bhutto Medical University Islamabad44000 Pakistan Foundation University Medical College Foundation University Islamabad Pakistan Department of Electrical Engineering Capital University of Science and Technology Islamabad Pakistan Future Technology Research Center National Yunlin University of Science and Technology Yunlin Douliu64002 Taiwan

Within the intricate fabric of human physiology, cholesterol, a lipid present in cell membranes exerts a discernible effect on the concentration of the drug in human body that influence the aspects of drug pharmacokinetics. The objective of this work is to design a case study based fractional order cholesterol drug interaction model that encapsulates the nuanced dynamics inherent in the multifaceted human physiology with identification of essential variables including drug concentration Ksb and cholesterol level γ. The strength of nonlinear autoregressive with exogenous inputs (NARX) neural networks are exploited to predict the temporal dynamics that reveal the hidden intricacies and subtle patterns within the fractional model. Grünwald–Letnikov (GL) based fractional solver is used to generate the synthetic data, serving as a robust foundation for training, testing and validation of the NARX neural networks for different use cases of cholesterol drug interaction control strategies. A thorough comparative analysis based on exhaustive simulation unveiled a marginal distinction between the results obtained from NARX and the outcomes of fractal technique showing remarkably low MSE in the range of 10−12. The strength of the designed methodology is further verified by using other performance metrics such as MSE, regression index, autocorrelation and cross correlation. The integration of genetic and genomic information tailor the model to address the unique characteristics of individual patient facilitating advancement in precision medicines. © 2024 Elsevier Ltd

关键词： Cholesterol Pharmacokinetics Drug interaction Fractional models Neural networks Artificial intelligence

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Theory of phase reduction for systems with higher-order interactions: a route to Kuramoto models on hypergraphs

arXiv

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arXiv 2025年

作者： León, Iván Muolo, Riccardo Hata, Shigefumi Nakao, Hiroya Department of Applied Mathematics and Computer Science Universidad de Cantabria Santander39005 Spain Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo152-8552 Japan Graduate School of Science and Engineering Kagoshima University Kagoshima890-0065 Japan Research Center for Autonomous Systems Materialogy Institute of Innovative Research Tokyo Institute of Technology Yokohama226-8501 Japan

Phase reduction is a powerful technique in the study of nonlinear oscillatory systems. Under certain assumptions, it allows us to describe each multidimensional oscillator by a single phase variable, giving rise to simple phase models such as the Kuramoto model. Classically, the method has been applied in the case where the interactions are only pairwise (two-body). However, increasing evidence shows that interactions in real-world systems are not pairwise but higher-order, i.e., many-body. Although synchronization in higher-order systems has received much attention, analytical results are scarce because of the highly nonlinear nature of the framework. In this paper, we fill the gap by presenting a general theory of phase reduction for the case of higher-order interactions. We show that the higher-order topology is preserved in the phase reduced model at the first order and that only odd couplings have an effect on the dynamics when certain symmetries are present. Additionally, we show the power and ductility of the phase reduction approach by applying it to a population of Stuart-Landau oscillators with an all-to-all configuration and with a ring-like hypergraph topology;in both cases, only the analysis of the phase model can provide insights and analytical results. © 2025, CC BY-NC-ND.

关键词： Topology

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