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The Introduction of Information Technologies into Educational and Laboratory Complexes is an Important Step Towards the Digitalization of Uzbekistan 4

The Introduction of Information Technologies into Educationa...

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4th International Conference on Technology Enhanced Learning in Higher Education, TELE 2024

作者： Tulenova, Karima Ubaydullayeva, Shakhnoza Gaziyeva, Rano Mamayusupov, Umid Mamadjonova, Marvarid Turdikulova, Ezozkhon Tashkent State Pedagogical University Named after Nizami Department of Social Sciences Tashkent Uzbekistan National Research University Department 'Automation and Control of Technology Process' «tIIAME» Tashkent Uzbekistan Ferghana State University Department of Pedagogy Ferghana Uzbekistan

ISBN: (纸本)9798350353532

Digital transformation is one of the most important trends in the development of modern states, changing the appearance of virtually all spheres of the economy and the social sphere. The pandemic has hit many sectors of the economy, but has contributed to the accelerated development of the IT industry. It also showed the importance of introducing information and communication technologies and digital technologies into the work of state bodies, private enterprises, public organizations and educational institutions. One of the main tasks of the consistent socio-economic development of Uzbekistan is the widespread introduction of Information, communication and digital technologies into education. This is exactly the area that represents an effective tool capable of ensuring high-quality reform of economic sectors and spheres of public life. The article examines the trends in the introduction of information technologies in various sectors of the economy in Uzbekistan, the issues of virtualization of the educational and laboratory complex of educational institutions of the country. As an example, the interactive virtual stand 'Minimization of Mile automata' in the discipline 'Theory of information processes and systems' is considered. © 2024 IEEE.

关键词： Virtual corporation

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Unscented Kalman Filter for State of Charge Estimation of Lithium Titanate Battery 20

Unscented Kalman Filter for State of Charge Estimation of Li...

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20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2023

作者： Dardchuntuk, Joshua Chun-Ken Banjerdpongchai, David Faculty of Engineering Chulalongkorn University Center of Excellence in Intelligent Control Automation of Process Systems Department of Electrical Engineering Pathumwan 254 Phayathai Road Bangkok10330 Thailand

ISBN: (纸本)9798350310467

An accurate estimation of the state of charge (SoC) of lithium titanate (LTO) batteries is required for their effective operation and management. In this study, we propose an unscented Kalman filter (UKF) approach for estimating the SoC of LTO batteries, which are challenging to assess due to the nonlinear voltage-SoC relationship and aging impact. Our approach uses a state and measurement model based on LTO's electrochemical characteristics and employs sigma points and weights to address nonlinearities. According to the findings of our research, the UKF-based methodology has high accuracy, rapid convergence, and resilience to discharge rate, outperforming or matching the capabilities of existing state-of-the-art approaches. This work provides a novel and effective solution for LTO battery SoC estimation, useful for applications in electric vehicles, energy storage, and smart grid energy systems. © 2023 IEEE.

关键词： Battery management systems

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Performance Comparison of Lightweight CNN Models for Drone Collision Avoidance Dataset 20

Performance Comparison of Lightweight CNN Models for Drone C...

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20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2023

作者： Zufar, Rifqi Nabila Banjerdpongchai, David Chulalongkorn University Center of Excellence in Intelligent Control Automation of Process Systems Department of Electrical Engineering Faculty of Engineering 254 Phayathai Road Bangkok Pathumwan10330 Thailand

ISBN: (纸本)9798350310467

Collision Avoidance System (CAS) is important for drone safety. CAS consists of three steps e.g., obstacle sensing, collision prediction, and collision avoidance. Collision prediction enables drones to gain information, process information, and estimate whether the object has a risk of collision. Convolution Neural Network (CNN) is one of the methods that can be employed for collision prediction. However, CNN is a method that needs a large data in the training. Dario Pedro et al. provided a dataset called the CoLANet dataset that consists of VDOs of collision drones. Subsequently, they proposed a new algorithm called Neural Network Pipeline which has a Convolution Neural Network (CNN) part to extract the feature from a couple of images. CNN extracts images by using MobileNetV2 as a pre-trained model. They chose MobileNetV2 due to training performance from another dataset. This paper aims to assess the performance of lightweight CNN models using the CoLANet dataset. The models will be trained on the Keras library with parameters of fewer than ten million. The models will be validated by Confusion Matrix and Receiver Operating Characteristics. In conclusion, we examine which pre-trained CNN model has the best performance and suggest ongoing work. © 2023 IEEE.

关键词： Drones

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Penetration-Free Collision Detection and Response Algorithm Based on Extended Position-Based Dynamics 6

Penetration-Free Collision Detection and Response Algorithm ...

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6th International Conference on Industrial Artificial Intelligence, IAI 2024

作者： Wang, Minghui Ding, Fan Liao, Chengye Pan, Yangyang Yang, Tao He, Jianping Pingtan Center of Quality Metrology and Testing Pingtan350400 China Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Department of Automation Shanghai200240 China Northeastern University Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China

ISBN: (纸本)9798350356618

In the virtual simulation platform, frequent physical interactions between the robot and the environment poses extremely high demands on the handling of collisions and contacts in the simulation. Current mainstream virtual simulation platforms, in pursuit of real-time performance, have sacrificed some accuracy in simulation algorithms, leading to control strategies obtained in training that are difficult to directly transfer to actual physical machines. This virtual-physical discrepancy has significantly impacted the efficiency and effectiveness of mobile robot simulation. Existing work has attempted to use more accurate mathematical modeling and design more realistic solvers, but at the cost of uncontrollable problem scale and extremely high computational complexity. Starting from this perspective, this paper designs a non-penetration simulation algorithm based on extended Position-Based Dynamics (XPBD), which improves the physical processing accuracy during the simulation while ensuring real-time performance, enhances the fidelity of the simulation, and reduces the virtual-physical discrepancy. Simulation experiments have been conducted to validate the reliability of our proposed algorithm. © 2024 IEEE.

关键词： Virtual environments

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The Use of Virtual Interactive Stands in the Educational process in Higher Education 4

The Use of Virtual Interactive Stands in the Educational Pro...

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4th International Conference on Technology Enhanced Learning in Higher Education, TELE 2024

作者： Ubaydullayeva, Shakhnoza Gulyamova, Zarina Tadjiyeva, Gavhar Kadirova, Nilufar Kusanova, Ugiloy National Research University Department 'Automation and Control of Technology Process Tashkent Institute of Irrigation and Agricultural Mechanization Engineers Tashkent Uzbekistan Tashkent State Pedagogical University Named after Nizami Department of Theory and Methodology of Teaching English Language Tashkent Uzbekistan

ISBN: (纸本)9798350353532

Information and communication technologies have become an integral part of modern society in Uzbekistan, as they are used in all spheres of human life: economic, political and social. Uzbekistan is one of the countries where digital technologies are rapidly developing, because of which significant results have been achieved in education. The expansion of distance education will improve the quality of education, because more students who live in rural areas are covered. This will allow you to receive high-quality content (video, audio, and platform);use the most up-to-date technologies and solutions: online services for the educational process, gamification, a virtual library, online proctoring and practical online classes. Interactive learning is a learning process using information and communication technologies. Although distance learning is not a substitute for university attendance, it is an excellent learning tool for consolidating knowledge and obtaining additional facts and information. Sometimes homework is not enough for proper understanding and assimilation of educational material. Proper understanding of information is useful for practical subjects. The Internet provides a wide range of such additional features. Interactive stands enhance both general and professional knowledge;have a motivating effect on learning in a playful way. The National Research University in Uzbekistan, together with the teachers of the Tashkent State Pedagogical University, is actively working on the introduction of virtual interactive educational stands into the educational process, including distance education. The computer program provides for the implementation of training lessons in the section 'Logical foundations of computing systems', namely 'Representation of functions of the algebra of logic', 'Minimization of logical functions by the Veitch diagram method', 'Minimization of logical functions by the Quine method' © 2024 IEEE.

关键词： Students

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Use of Elements and Algorithms of Intelligent Support in the automation of Technologies for control and Quality Management of Bulk Materials

Use of Elements and Algorithms of Intelligent Support in the...

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2022 International Conference Automatics and Informatics, ICAI 2022

作者： Kalandarov, Palvan I. Ubaydulayeva, Shakhnoza R. Gaziyeva, Rano T. Nikolov, Nikola N. Alexsandrova, Mariela I. National Research University Tashkent Institute of Irrigation and Agricultural Mechanization Engineers Department Automation and Control of Technology Process in Production Tashkent Uzbekistan Technical University of Varna Faculty of Computer Science and Automation Department of Automation Varna9010 Bulgaria

ISBN: (数字)9781665476256

ISBN: (纸本)9781665476256

The article deals with the choice of criteria for efficiency, applicability in measuring technology, analytical and construction, on the basis of which a methodology for assessing the quality of structures of measuring devices of moisture of materials of the agro-industrial complex is proposed. The standard deviation of the random error characterizing the accuracy of measurements is shown. A complex efficiency criterion is discussed, including the dominant particular parameters: accuracy, reliability, cost, allowing to solve the problem of optimal design of humidity control devices for the materials under consideration. As an optimal option, a differential measuring device is analyzed, which practically eliminates random and systematic errors and makes it possible to design a multiparameter measurement method that considers the features of a heterogeneous environment, such as bulk grain materials of the agro-industrial complex © 2022 IEEE.

关键词： Random errors

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Causal-Transformer: Spatial-temporal causal attention-based transformer for time series prediction

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IFAC-PapersOnLine 2024年第14期58卷 79-84页

作者： Yaqi Zhu Fan Yang Andrei Torgashov Department of Automation Beijing National Research Center for Information Science and Technology Tsinghua University Beijing 100084 China Process Control Laboratory Institute of Automation and Control Processes Far-Eastern Branch Russian Academy of Sciences Vladivostok 690041 Russia

Real-time monitoring and accurate prediction of key variables are indispensable to ensure industrial production activities proceed as expected. With the increase in measurement data volume and the improvement of hardware computing power, the Transformer and its variants, due to their excellent capability in extracting global dependencies, are playing an increasingly important role among deep learning-based multidimensional time series prediction models. In addition, from the perspective of causality, cause variables contain parts of information in effect variables and can reduce the uncertainty of effect variables, which is beneficial for prediction. However, there has been relatively limited research on combining the Transformer and causal feature analysis. To fully use both advantages, this paper introduces the Causal-Transformer (CT) model, which utilizes semi-orthogonal projection to extract causal features from multiple input variables. A multi-head spatial-temporal causal attention mechanism is designed in the encoder block based on the classical Transformer model to simultaneously reduce feature dimensions and extract implicit causal features in both the temporal and spatial dimensions. The CT also utilizes the Granger causality analysis to select the causal teaching indicators of target variables to provide stable assistance by injecting explicit causality into the inputs of the decoder block. By leveraging more condensed and independent causal features, the CT possesses inherent advantages in predicting time series variables. Case study results show that the CT model outperforms the other models on the diesel refinery dataset, especially with a reduction of 46.0% and 30.4% in MSE towards the classic Transformer and informer in five-step prediction.

关键词： Machine learning Time series modelling Transformer Causal analysis Attention machenism

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State controller with Improved Response Speed for Linear Discrete SISO Systems

State Controller with Improved Response Speed for Linear Dis...

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2022 International Conference Automatics and Informatics, ICAI 2022

作者： Nikolov, Nikola Alexandrova, Mariela Gaziyeva, Rano Ubaydullayeva, Shakhnoza Technical University of Varna Faculty of Computer Sciences and Automation Department of Automation Varna9010 Bulgaria National Research University Tashkent Institute of Irrigation and Agricultural Mechanization Engineers Department Automation and Control of Technology Process in Production Tashkent100000 Uzbekistan

ISBN: (数字)9781665476256

ISBN: (纸本)9781665476256

This paper presents an opportunity to create a linear discrete system (LDS) with a modal state controller for Single Input Single Output objects control. The created controller has an integrating element and a relationship between the set point (SP) and the control object (CO), implemented with an inverse model on the object. The proposed system guarantees handling of the perturbances and providing an improvement in the system performance as in PID-controller systems. In structure proposed, an LQR state controller could be used instead of the MSC. © 2022 IEEE.

关键词： Three term control systems

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Recent Developments in Event-Triggered control of Nonlinear Systems:An Overview

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无人系统（英文） 2023年第1期11卷 27-56页

作者： Pengpeng Zhang Tengfei Liu Jie Chen Zhong-Ping Jiang Department of Control Science & Engineering Frontiers Science Center for Intelligent Autonomous SystemsTongji UniversityShanghai 201804P.R.China State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110819P.R.China Department of Electrical and Computer Engineering New York University370 Jay StreetBrooklynNY 11201USA

Event-triggered control is a most popular paradigm for transferring feedback information in an economical"as needed"*** study of event-triggered control can be traced back to the *** significant advances on the topic of control over networks and the topic of nonlinear control systems over the last two decades,event-triggered control has quickly emerged as a major theoretical subject in control *** of event-triggered control are wide-spread ranging from embedded control systems and industrial control processes to unmanned systems and cyber-physical transportation *** this paper,we first review developments in the synthesis of event-triggered sampling *** event triggering mechanisms,such as static event trigger,dynamic event trigger,time-regularized event trigger,and event trigger with positive threshold offsets,are systematically ***,we study how to design a stabilizing controller that is robust with respect to the sampling ***,we review some recent results in the directions of self-triggered control,event-triggered tracking control and cooperative control,and event-triggered control of stochastic systems and partial differential equation *** applications of event-triggered control are also discussed.

关键词： Event-triggered control event-triggered sampling mechanism event-triggered controller

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Technological Machines Diagnostics of Grain processing Enterprises as the Object of automation

Technological Machines Diagnostics of Grain Processing Enter...

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2023 International Conference Automatics and Informatics, ICAI 2023

作者： Kalandarov, Palvan I. Ubaydullayeva, Shakhnoza R. Nikolov, Nikola N. Hayitov, Aziz Sharifov, Husen 'Tashkent Institute of Irrigation and Agricultural Mechanization Engineers' National Research University Department 'Automation and Control of Technology Process in Production' Tashkent Uzbekistan Technical University of Varna Faculty of Computer Science and Automation Department of Automation Varna Bulgaria Bukhara Institute of Natural Resource Management of the National Research University 'Tashkent Institute of Irrigation and Agricultural Mechanization Institute' Tashkent Uzbekistan

ISBN: (纸本)9798350312911

The article gives the basic concepts of reliability, performance, durability, considers the issues of changing the technical state of the machine during operation. The models under consideration have the ability to introduce various perturbations in order to simulate physical defects, and numerical simulation on a computer made it possible to obtain solutions in the form of temporary realizations of oscillations for different states of the simulation object. The cooperative use of the full-scale method and mathematical modeling made it possible to reduce the volume of full-scale experiments and apply statistical methods of analysis in the problem of classifying the technical condition by constructing mathematical models of the probability of failure and uptime during their operating time. The content of the main types of machine states is revealed, considerable attention is paid to the issues of identifying and influencing failures and the causes of failures in the machine, the reasons for the loss of performance during operation. © 2023 IEEE.

关键词： Deterioration

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