Springer

80039

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Tandem Retrial Queueing System with Markovian Arrival Process and Common Orbit

Электронная публикация: 

Да

ISBN/ISSN: 

978-3-031-80853-1

DOI: 

10.1007/978-3-031-80853-1_16

Наименование конференции: 

  • 27th International Conference on Distributed Computer and Communication Networks: Control, Computation, Communications (DCCN-2024)unication Networks, (DCCN-2024)

Наименование источника: 

  • Proceeding of the 27th international scientific conference on Distributed Computer and Communication Networks: Control, Computation, Communications (DCCN-2024)

Обозначение и номер тома: 

volume 15460

Город: 

  • Cham

Издательство: 

  • Springer

Год издания: 

2025

Страницы: 

203–218
Аннотация
In the current paper, a retrial tandem queueing system consisting of two stations in series is investigated. Each station is represented by a single server and a limited size buffer. Customers arrive at the first station according to a Markovian Arrival Process (MAP). The service time at the first and the second server has a Phase type (P H) distribution. The novelty of the model under consideration is the presence of a common orbit for blocked customers both at the first and second stations. Unlike other few studies of retrial tandem systems with a common orbit, our model is more general and we obtain analytical results using matrix-analytic technique. We derive the sufficient conditions for existence and absence of the stationary regime in the system, calculate the steady-state distribution of the number of customers in the orbit and at the stations and derive formulas for the most significant performance measures.

Библиографическая ссылка: 

Клименок В.И., Вишневский В.М. Tandem Retrial Queueing System with Markovian Arrival Process and Common Orbit / Proceeding of the 27th international scientific conference on Distributed Computer and Communication Networks: Control, Computation, Communications (DCCN-2024). Cham: Springer, 2025. volume 15460. С. 203–218.

80038

Автор(ы): 

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Доклад

Название: 

Simulation-Based Optimization for Resource Allocation Problem in Finite-Source Queue with Heterogeneous Repair Facility

Электронная публикация: 

Да

ISBN/ISSN: 

978-3-031-80853-1

DOI: 

10.1007/978-3-031-80853-1_15

Наименование конференции: 

  • 27th International Conference on Distributed Computer and Communication Networks: Control, Computation, Communications (DCCN-2024)unication Networks, (DCCN-2024)

Наименование источника: 

  • Proceeding of the 27th international scientific conference on Distributed Computer and Communication Networks: Control, Computation, Communications (DCCN-2024)

Обозначение и номер тома: 

volume 15460

Город: 

  • Cham

Издательство: 

  • Springer

Год издания: 

2025

Страницы: 

187–202
Аннотация
The paper deals with an optimal allocation problem in a finite-source queuing system where the repair facility consists of multiple heterogeneous servers. A threshold-based allocation policy prescribes the usage of slower servers according to given threshold levels of the queue lengths. This problem under markovian settings can be treated as a continuous-time Markov decision problem which was efficiently solved by dynamic programming algorithms. However, under conditions of uncertainty, when there is no information about the transient characteristics of the system and, in addition, the total number of states is too large, the simulation-based optimization methods must be applied. We use both the reinforcement learning methods and the random search method based on simulated annealing to solve the discrete optimization problem. Experimental results are compared with an actual solution obtained by policy iteration. Advantages and disadvantages of the methods and the peculiarities of their use for controllable queueing system are discussed.

Библиографическая ссылка: 

Ефросинин Д.В., Вишневский В.М., Степанова Н.В. Simulation-Based Optimization for Resource Allocation Problem in Finite-Source Queue with Heterogeneous Repair Facility / Proceeding of the 27th international scientific conference on Distributed Computer and Communication Networks: Control, Computation, Communications (DCCN-2024). Cham: Springer, 2025. volume 15460. С. 187–202.

79739

Автор(ы): 

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Machine Learning in Recognition of Native and Artificially Generated EEGs

Электронная публикация: 

Да

ISBN/ISSN: 

1064-2269

DOI: 

10.1134/S1064226924700359

Наименование источника: 

  • Journal of Communications Technology and Electronics

Обозначение и номер тома: 

Vol. 24, No. 3

Город: 

  • Moscow

Издательство: 

  • Springer

Год издания: 

2025

Страницы: 

190–202
Аннотация
A comprehensive approach to the analysis of electroencephalographic (EEG) signals obtained from human brain and artificially synthesized using machine learning methods is presented. The main focus is on data preprocessing, including signal normalization and filtering, as well as application of various feature extraction methods, in particular, Fast Fourier Transform and Mel-Frequency Cepstral Coefficients. A comparative analysis of classification accuracy using logistic regression, random forest, gradient boosting, and recurrent neural network LSTM is performed. Special attention is given to the effect of filtering parameters on classification accuracy. The results show that filtering and proper tuning of model parameters significantly improve the accuracy of EEG signal classification, ensuring separation of real and synthetic EEG pools. The results and discussion may serve as a basis for further research in the field of biomedical signal analysis and processing.

Библиографическая ссылка: 

Русаков К.Д., Туровский Я.А., Киселев Е.А. Machine Learning in Recognition of Native and Artificially Generated EEGs // Journal of Communications Technology and Electronics. 2025. Vol. 24, No. 3. С. 190–202.

79676

Автор(ы): 

Автор(ов): 

9

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Dexterity analysis of a continuum robot with closed-solutions for head and neck oncology

ISBN/ISSN: 

1863-1703

DOI: 

10.1007/s11760-024-03281-3

Наименование источника: 

  • Signal, Image and Video Processing

Обозначение и номер тома: 

Vol. 18, Iss. 8-9

Город: 

  • London

Издательство: 

  • Springer

Год издания: 

2024

Страницы: 

5919–5931 (1-13)
Аннотация
Head and neck surgeries require skilled surgeons to avoid facial nerves and blood vessels. Using straight surgical instruments to create a deep and sealed operating environment is difficult. Continuum robots are particularly effective in head and neck surgery due to their extensive range of motion, adaptability, and ability to navigate confined anatomical spaces. This paper presents a new approach to examine the flexibility of the continuum robot in head and neck surgery, motivated by the advantages of continuum robots. This method uses a discretized kinematics model with a constant curvature and a piecewise assumption-fitting-approximation (PFA) method to find closed solutions for the continuum robot’s problem. We introduced the concept of spatial solid angle to assess the dexterity of the continuum robot, utilizing the inverse solution of the target point position as a reference. An intuitive dexterity index and dexterity area were proposed. The length of the continuum segment was optimized by simulation, and the efficacy of the approach was then validated through experiments. Experiments demonstrate that the piecewise assumption can cause the dual-section continuum robot to deform as expected. In comparison to previous similar tasks, the robot has exceptional position accuracy, with a position error of only 1.72% of the overall length. Additionally, it exhibits excellent real-time performance, with a maximum time consumption of 3.9 ms.

Библиографическая ссылка: 

Cheng D.Y., Dong W.Z., Du Z.L., Wang L., Li C.C., Wang W.W., Щербаков П.С., Liang H.H., Gao Y.Y. Dexterity analysis of a continuum robot with closed-solutions for head and neck oncology // Signal, Image and Video Processing. 2024. Vol. 18, Iss. 8-9. С. 5919–5931 (1-13).

79632

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Using a Language Model to Analyze the Mental State of an Individual

ISBN/ISSN: 

1865-0929

DOI: 

10.1007/978-3-031-77012-8

Наименование источника: 

  • Cultural Perspectives of Human-Centered and Technological Innovations

Обозначение и номер тома: 

Communications in Computer and Information Science 2233

Город: 

  • Tokyo

Издательство: 

  • Springer

Год издания: 

2024

Страницы: 

188-197
Аннотация
The following paper discusses the use of machine learning in identify- ing the emotional state of the user using analysis of their written and verbal speech. Most importantly, the model in question will do so passively, without prompting the user to describe how they are feeling. Furthermore, the following work will discuss the potential techniques in constructing this prototype, pitfalls and ways how it can be integrated into a broader health monitoring system.

Библиографическая ссылка: 

Таратухин А.В., Фархадов М.П. Using a Language Model to Analyze the Mental State of an Individual // Cultural Perspectives of Human-Centered and Technological Innovations. 2024. Communications in Computer and Information Science 2233. С. 188-197.

79610

Автор(ы): 

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Sensory characteristics of operators in tasks involving control of ergatic systems without visual feedback

ISBN/ISSN: 

0097-0549

DOI: 

10.1007/s11055-024-01706-7

Наименование источника: 

  • Neuroscience and behavioral physiology

Город: 

  • Москва

Издательство: 

  • Springer

Год издания: 

2024

Страницы: 

1026-1034
Аннотация
The aim of the present work was to identify the influence of visual feedback on the quality of users' work with variant human–computer interfaces and on the mastering of interfaces. The studies assessed the features of the generation of control commands by operators of ergatic (man–machine) systems using an oculographic interface, and hand- and head-based movement control interfaces were assessed. The presence of visual feedback was found to be important for accurate command generation in all cases. However, when controlling with the head and eyes, the presence of visual feedback led to greater deviations from the ideal trajectory and increases in the distance traveled by the cursor before reaching the target in untrained users. Analysis of typical reactions in all experiments allowed three types of control to be identified, these being different for eye and head movements but not for hand movements in the ergatic system. The first and second types showed greater numbers of errors in the presence of feedback than the third type. The results obtained here may be of value in the development of promising interfaces for ergatic systems, including determination of the required visual feedback components for this class of technical devices.

Библиографическая ссылка: 

Туровский Я.А., Алексеев В.Ю., Токарев Р.А. Sensory characteristics of operators in tasks involving control of ergatic systems without visual feedback // Neuroscience and behavioral physiology. 2024. С. 1026-1034.

79425

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Optimal Selection of Feedback Coefficients in the Problem of Stabilizing a Chain of Three Integrators

ISBN/ISSN: 

0302-9743

DOI: 

10.1007/978-3-031-79119-2_11

Наименование конференции: 

  • XV International Conference Optimization and Applications (OPTIMA-2024, Petrovaс, Montenegro)

Наименование источника: 

  • Lecture Notes in Computer Science

Город: 

  • Charm

Издательство: 

  • Springer

Год издания: 

2025

Страницы: 

15218 (1-14)
Аннотация
This work continues our studies reported in the proceedings of the Optima conference in 2022 and 2023 [1, 2], where the problem of stabilizing a chain of three integrators by a piecewise continuous control in the form of nested saturators was discussed. In this work, we propose a AQ1 more advanced stabilizing control law. The new feedback control is con- tinuous and guarantees the fulfillment of a phase constraint imposed on the third state variable. We study global stability of the closed-loop sys- tem and set an optimization problem of determining feedback coefficients that ensure the greatest convergence rate near the equilibrium while pre- serving global asymptotic stability of the system. It is established that AQ2 the loss of global stability results from arising a hidden attractor, which comes to existence when the convergence rate reaches a critical value. A numerical procedure for constructing hidden attractors is developed, and the discussion is illustrated by numerical examples.

Библиографическая ссылка: 

Пестерев А.В., Морозов Ю.В. Optimal Selection of Feedback Coefficients in the Problem of Stabilizing a Chain of Three Integrators / Lecture Notes in Computer Science. Charm: Springer, 2025. С. 15218 (1-14).

79366

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

The study by splines of norm inequalities for Riemann–Liouville operators in weighted Besov spaces

ISBN/ISSN: 

1072-3374

DOI: 

10.1007/s10958-024-07150-9

Наименование источника: 

  • JOURNAL OF MATHEMATICAL SCIENCES

Обозначение и номер тома: 

V. 280, N 5

Город: 

  • Berlin, Germany

Издательство: 

  • Springer

Год издания: 

2024

Страницы: 

758–820
Аннотация
The work is devoted to the study of boundedness properties of integration and differentiation operators of Riemann–Liouville type on the real axis and semi–axis. The operators are acting in smoothness function spaces of Besov type with Muckenhoupt weight functions (weights) of standard and local type. The problem posed is solved by decomposing elements of the function spaces with respect to spline wavelet systems, which are the main solution tools. The article presents in detail a scheme for constructing such systems. In their terms, the corresponding decomposition theorems are established in the paper. The main results of the study are conditions on weights for the fulfilment of inequalities connecting the norms of images and pre–images of Riemann–Liouville integration operators.

Библиографическая ссылка: 

Ушакова Е.П. The study by splines of norm inequalities for Riemann–Liouville operators in weighted Besov spaces // JOURNAL OF MATHEMATICAL SCIENCES. 2024. V. 280, N 5. С. 758–820.

79215

Автор(ы): 

Автор(ов): 

11

Параметры публикации

Тип публикации: 

Доклад

Название: 

Neural Network Development for Quality Analysis of ERP Systems

DOI: 

10.1007/978-3-031-53549-9_24

Наименование конференции: 

  • 7th Computational Methods in Systems and Software (CoMeSySo 2023)

Наименование источника: 

  • Proceedings of 7th Computational Methods in Systems and Software (CoMeSySo 2023)

Обозначение и номер тома: 

Vol. 909

Город: 

  • Cham

Издательство: 

  • Springer

Год издания: 

2024

Страницы: 

245–253
Аннотация
In the modern world, information systems it’s important tool in corporate structures and business processes. ERP systems are widely used for automating business processes and improving communication between employees in companies. However, like any other system, ERP systems can vary in quality, which in turn affects the efficiency and feasibility of business processes. This article describes a development an information system that uses a neural network to analyze the quality of ERP systems. The input parameters of the neural network are a subset of 12 quality parameters defined in ISO 25010. The developed neural network is based on a multilayer perceptron architecture. The newly created reduction methodology using the mean of L1 and L2 regularization allowed reducing the connections in the neural network and increasing the model accuracy. As a result, the neural network has a high accuracy, sufficient for practical use. A web application has been developed for the neural network, which is a graphical user interface that allows interacting with the neural network and evaluating the quality of ERP systems. Thus, the created information system is capable of significantly simplifying and speeding up the process of analyzing the quality of ERP systems.

Библиографическая ссылка: 

Селютин А.Д., Кушников В.А., Богомолов А.С., Резчиков А.Ф., Иващенко В.А., Берднова Е.В., Пахомова Т.В., Дранко О.И., Степановская И.А., Косицын А.А., Днекешев А.А. Neural Network Development for Quality Analysis of ERP Systems / Proceedings of 7th Computational Methods in Systems and Software (CoMeSySo 2023). Cham: Springer, 2024. Vol. 909. С. 245–253.

79208

Автор(ы): 

Автор(ов): 

11

Параметры публикации

Тип публикации: 

Доклад

Название: 

Modeling and Characterization of the Air Transport System Using System Dynamics

DOI: 

10.1007/978-3-031-54813-0_11

Наименование конференции: 

  • 7th Computational Methods in Systems and Software (CoMeSySo 2023)

Наименование источника: 

  • Proceedings of 7th Computational Methods in Systems and Software (CoMeSySo 2023)

Обозначение и номер тома: 

Vol. 934

Город: 

  • Cham

Издательство: 

  • Springer

Год издания: 

2024

Страницы: 

111–116
Аннотация
A mathematical model of the air transport system, built using a system-dynamic approach, is proposed. With the help of the model, it is possible to improve the management of aviation transport systems according to the criterion of flight safety. When conducting experiments with the model, it is possible to predict the characteristics of the system and use the predictions when making decisions during control.

Библиографическая ссылка: 

Асеев Н.А., Кушников В.А., Резчиков А.Ф., Богомолов А.С., Иващенко В.А., Селютин А.Д., Поляков М.С., Днекешев А.А., Дранко О.И., Барышникова Е.С., Степановская И.А. Modeling and Characterization of the Air Transport System Using System Dynamics / Proceedings of 7th Computational Methods in Systems and Software (CoMeSySo 2023). Cham: Springer, 2024. Vol. 934. С. 111–116.

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