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22nd International Conference on Emerging eLearning Technologies and Applications, ICETA 2024

作者： Kanalikova, Alžbeta Rakovská, Eva University of Žilina Department of Control and Information Systems Žilina Slovakia University of Economics in Bratislava Department of Applied Informatics Bratislava Slovakia

ISBN: (纸本)9798331527716

In today's world of pandemic era, it is important to develop new ways of e-learning. E-learning is also associated with finding creative innovation as a part of digital learning, which includes a variety of IT tools as multimedia and smart tools. The article is focused on preparing and implementing innovative tools in computer science teaching. Computer science teaching is traditionally based on explicit exact knowledge. It leads to memorizing the steps or searching the ready solutions on websites from the students' side. In the article, we analyse the problems of computer science teaching online and the experience of using a few innovative elements in e-learning courses last year. Based on gained experience we choose appropriate tools for collaboration, interactivity, tools that record the sequence of steps, and tools for creating scenarios, focusing on gamification in teaching. The aim of the article comes from such experience and shows examples of how to implement multimedia and tools in a creative way for algorithmization and programming. We also try to use the interaction with the chatbot, which responds directly to the students' suggestions and helps them with basic terms. The specific results of our analyses and practical use are discussed and supported with figures. © 2024 IEEE.

关键词： Algorithmization Chatbot Computer science teaching Digital learning Programming

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Concept of Cognitive Cargo Port Risk Management 8

Concept of Cognitive Cargo Port Risk Management

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8th International Conference on Information, control, and Communication Technologies, ICCT 2024

作者： Bondareva, Irina Khanova, Anna Protalinskiy, Oleg Astrakhan State Technical University Department of Applied Informatics Astrakhan Russia Moscow Power Engineering Institute Department of Automated Control Systems of Thermal Processes Moscow Russia

ISBN: (纸本)9798331517564

Any business processes in an enterprise are associated with the need to periodically assess possible risk situations. Today, assessing risks in order to control them is not enough. It is necessary to continuously, cyclically and on an ongoing basis carry out risk management, which has already become an integral part of the management of the organization. However, the complexity of assessing and analyzing events associated with an unfavorable outcome dictates to organizational systems, which include the subject area considered in the work - a cargo port, the need to develop and use tools that allow for a comprehensive assessment of activities from the point of view of possible risks, including the possibility of cognitive evaluation of each of the results obtained. Risks are considered as situations of failure to meet goals, as well as target standards. The developed balanced scorecard (BS) contains a set of goals and indicators that complement them. In addition to this, through multi-level hybrid and scenario LP risk models of a cargo port, logical and probabilistic connections between goals, indicators and risks arising at all three levels of management are formulated. The basis of the ontological model is knowledge about the above-mentioned connections, the integrated use of which through appropriate queries allows you to choose ways to bypass risk situations under the existing specified conditions. The query results form experimental scenarios with a multi-approach simulation model and allow you to obtain quantitative estimates of indicators, goals and risks. Taking into account all available stochastic characteristics, influencing factors, and also based on information about the results of the experiment, the decision maker formulates the values of the parameters of the original organizational system necessary to adjust in order to prevent the development and aggravation of risk events. © 2024 IEEE.

关键词： Stochastic systems

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A Jordan Algebra of a Mal’tsev Algebra

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Journal of Mathematical Sciences (United States) 2023年第3期269卷 298-316页

作者： Golubkov, A. Yu. Bauman Moscow State Technical University Faculty of Informatics and Control Systems Moscow Russian Federation Moscow Center of Fundamental and Applied Mathematics Moscow Russian Federation

This paper is devoted to the generalization of the construction of a Jordan algebra of a Lie algebra and the known theorems on the local finite-dimensionality of Lie PI-algebras with an algebraic adjoint representatio...

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Model Identification and control of Electromagnetic Actuation in Continuous Casting Process With Improved Quality

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IEEE/CAA Journal of Automatica Sinica 2023年第1期10卷 203-215页

作者： Isabela Birs Cristina Muresan Dana Copot Clara Ionescu Research Group of Dynamical Systems and Control Faculty of Engineering and ArchitectureGhent University and with EEDT Decision&ControlFlanders Make ConsortiumTech Lane Science Park 125 and 131B-9052 GhentBelgium.I.Birs the Automation Department Faculty of Automation and Applied InformaticsTechnical University of Cluj-NapocaRomania IEEE

This paper presents an original theoretical framework to model steel material properties in continuous casting line process. Specific properties arising from non-Newtonian dynamics are herein used to indicate the natural convergence of distributed parameter systems to fractional order transfer function models. Data driven identification from a real continuous casting line is used to identify model of the electromagnetic actuator device to control flow velocity of liquid steel. To ensure product specifications, a fractional order control is designed and validated on the system. A projection of the closed loop performance onto the quality assessment at end production line is also given in this paper.

关键词： Electromagnetic actuator fractional order control fractional order system model non-Newtonian material

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Features for Read Reference Voltage Estimation in NAND Flash Memory 13

Features for Read Reference Voltage Estimation in NAND Flash...

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13th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2023

作者： Bailon, Daniel Nicolas Shavgulidze, Sergo Freudenberger, Jurgen Institute for System Dynamics Htwg Konstanz University of Applied Sciences Germany Georgian Technical University Faculty of Informatics and Control Systems Georgia 06108 Germany

ISBN: (纸本)9798350324150

Reliability is a crucial aspect of non-volatile NAND flash memories, and it is essential to thoroughly analyze the channel to prevent errors and ensure accurate readout. Es-timating the read reference voltages (RRV s) is a significant challenge due to the multitude of physical effects involved. The question arises which features are useful and necessary for the RRV estimation. Various possible features require specialized hardware or specific readout techniques to be usable. In contrast we consider sparse histograms based on the decision thresholds for hard-input and soft-input decoding. These offer a distinct advantage as they are derived directly from the raw readout data without the need for decoding. This paper focuses on the information-theoretic study of different features, especially on the exploration of the mutual information (MI) between feature vector and RRV. In particular, we investigate the dependency of the MI on the resolution of the histograms. With respect to the RRV estimation, sparse histograms provide sufficient information for near-optimum estimation. © 2023 IEEE.

关键词： Decoding

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Ontological Decision Support Model for Cargo Port Risk Management 7

Ontological Decision Support Model for Cargo Port Risk Manag...

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7th International Conference on Information, control, and Communication Technologies, ICCT 2023

作者： Bondareva, Irina Protalinskiy, Oleg Khanova, Anna Nesterova, Evgeniya Belova, Anastasiya Astrakhan State Technical University Department of Applied Informatics Astrakhan Russia Moscow Power Engineering Institute Department of Automated Control Systems of Thermal Processes Moscow Russia

ISBN: (纸本)9798350340945

Modern unstable conditions of the market environment dictate the need for transport logistics enterprises to predict possible risk situations in order to prevent them, as well as to develop tools that allow forming management decisions, evaluating the effectiveness of each of them and choosing the most appropriate one, taking into account specific tasks and various influencing factors. As risks, situations of failure to achieve the goals of the cargo port, as well as failure to achieve standard values by the indicators for assessing these goals are considered. Goals and indicators are indicated in the constructed balanced scorecard (BSC). A set of links between goals and indicators for their assessment with risks at various levels of management is presented in the form of a developed multi-level hybrid logical-probabilistic (LP) risk model of the cargo port, as well as in detailed scenario models of this LP model. The ontological model contains all the information about the interaction of elements that affect the onset of risky events, and allows you to select options for exiting a risky situation in accordance with various specified conditions. The simulation model allows, based on the results of requests to the ontological model and the scenarios of simulation experiments developed on their basis, to develop a management decision that allows avoiding risky situations in the longer term, taking into account all available stochastic characteristics and factors of influence. © 2023 IEEE.

关键词： Risk management

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From Model Predictive control to Data Driven control to Meet High Efficiency Objective of a PMSM Drive System 16

From Model Predictive Control to Data Driven Control to Meet...

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16th International Conference on applied and Theoretical Electricity, ICATE 2024

作者： Costin, Madalin Bivol, Ion 'Dunarea de Jos' University of Galati Dept. of Electrical Engineering and Energy Conversion Systems Galati Romania Gheorghe Asachi Technical University of Iasi Dept. of Automatic Control and Applied Informatics Iasi Romania

ISBN: (纸本)9798350388107

In this paper is proposed a Data Driven control (DDC) law of a Permanent Magnet Synchronous Machine (PMSM) drive as an alternative to the Model Predictive control (MPC) strategy. The DDC method is designed for the inner control structure of the PMSM drive, the outer speed loop being employed by a classical linear PI controller. Thus, the DDC is based on build up a database of the relevant quantities as electromagnetic torque, speed, voltages and current, all obtained in steady-state regime with MPC strategy, being selected for the highest efficiency values for a given pair of speed and torque. The learning process of the DDC strategy by a mutidimesional interpolation method leads to obtain high performances in both steady-state and dynamic regimes, without any additional optimal current reference command. A comparative analysis done in Matlab simulation environment of the results obtained by both MPC and DDC control laws shows the effectiveness of the last strategies. The DDC method provide a robust optimal control under energetic constraints, being more suitable then the classical MPC law that can not offers reliable results for a large area of conditions in practice. © 2024 IEEE.

关键词： MATLAB

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Cell-wise encoding and decoding for TLC flash memories 12

Cell-wise encoding and decoding for TLC flash memories

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12th IEEE International Conference on Consumer Electronics, ICCE-Berlin 2022

作者： Bailon, Daniel Nicolas Shavgulidze, Sergo Freudenberger, Jurgen University of Applied Sciences Institute for System Dynamics HTWG Konstanz Germany Georgian Technical University Faculty of Informatics and Control Systems Georgia

ISBN: (数字)9781665456760

ISBN: (纸本)9781665456760

Automotive computing applications like AI databases, ADAS, and advanced infotainment systems have a huge need for persistent memory. This trend requires NAND flash memories designed for extreme automotive environments. However, the error probability of NAND flash memories has increased in recent years due to higher memory density and production tolerances. Hence, strong error correction coding is needed to meet automotive storage requirements. Many errors can be corrected by soft decoding algorithms. However, soft decoding is very resource-intensive and should be avoided when possible. NAND flash memories are organized in pages, and the error correction codes are usually encoded page-wise to reduce the latency of random reads. This page-wise encoding does not reach the maximum achievable capacity. Reading soft information increases the channel capacity but at the cost of higher latency and power consumption. In this work, we consider cell-wise encoding, which also increases the capacity compared to page-wise encoding. We analyze the cell-wise processing of data in triple-level cell (TLC) NAND flash and show the performance gain when using Low-Density Parity-Check (LDPC) codes. In addition, we investigate a coding approach with page-wise encoding and cell-wise reading. © 2022 IEEE.

关键词： Cells

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The Weakly Solvable Radical and Locally Strongly Algebraic Derivations of Locally Generalized Special Lie Algebras

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Journal of Mathematical Sciences (United States) 2022年第5期262卷 652-659页

In this paper, the classical theorem on the image of the solvable radical of a finite-dimensional Lie algebra over a field of characteristic zero under the action of its derivation is generalized to locally generalize...

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Real-time Pricing Mechanism for V2G Using Distributed Bilevel Optimization 63

Real-time Pricing Mechanism for V2G Using Distributed Bileve...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： You, Jiawei Dai, Xinliang Jiang, Yuning Yin, Haoyu Shi, Yuanming Jones, Colin N. ShanghaiTech University School of Information Science and Technology China Epfl Switzerland Karlsruhe Institute of Technology Institute for Automation and Applied Informatics Germany Epfl Automatic Control Laboratory Switzerland Washington University in St. Louis Department of Electrical and Systems Engineering United States

ISBN: (纸本)9798350316339

This paper explores the impact of the burgeoning electric vehicle (EV) presence on distribution grid operations, highlighting the challenges they present to conventional pricing strategies due to their dual role as power consumers and suppliers, coupled with their energy storage capabilities. We propose an advanced real-time pricing model for the electricity market, employing a novel distributed bilevel optimization framework. This framework distinguishes between the distribution system operator (DSO) at the upper level and the EVs at the lower level, each aiming to optimize profit margins. The optimization includes power flow constraints at the upper level to ensure efficient operation within safe system limits, while model predictive control (MPC) is used to optimize lower-level EV responses. Additionally, we provide a rigorous convergence analysis of the proposed bilevel optimization method. Detailed convergence studies and simulation results demonstrate the effectiveness and superiority of the proposed algorithm. © 2024 IEEE.

关键词： Predictive control systems

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