Springer

75727

Автор(ы): 

Автор(ов): 

4

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Characteristics of Command Generation for Oculographic Interfaces in Conditions of Vestibular Inputs

ISBN/ISSN: 

0097-0549

DOI: 

10.1007/s11055-023-01499-1

Наименование источника: 

  • Neuroscience and Behavioral Physiology

Обозначение и номер тома: 

53

Город: 

  • Москва

Издательство: 

  • Springer

Год издания: 

2023

Страницы: 

1047–1055
Аннотация
This article presents results from a study of the parameters of eye movement in human subjects using an oculographic interface to control a self-propelled chassis, i.e., an electric wheelchair. This work showed that from run to run, the time spent by the subjects on each run decreased and the number of errors and the number of subjects who did not successfully complete their runs decreased. Cluster analysis identified individual typological features of eye movement responses to the movement of the user’s head during execution of the main commands controlling the self-propelled chassis. When the self-propelled chassis is moving, generation of the “forward” and “backward” commands by the opto-oculographic interface is generally carried out in a manner common to users and does not require correction when controlling the self-propelled chassis. Generation of turn commands is a more individual process, associated both with calibration of the device and the individual user’s head and eye positions and therefore requires more careful monitoring when using oculographic interfaces.

Библиографическая ссылка: 

Туровский Я.А., Алексеев В.Ю., Мурадова Л.Г., Миронкин А.П. Characteristics of Command Generation for Oculographic Interfaces in Conditions of Vestibular Inputs // Neuroscience and Behavioral Physiology. 2023. 53. С. 1047–1055.

75680

Автор(ы): 

Автор(ов): 

4

Параметры публикации

Тип публикации: 

Доклад

Название: 

Identification of the quadcopter rotational dynamics for the tilt angle

ISBN/ISSN: 

978-3-031-43110-4

DOI: 

10.1007/978-3-031-43111-1_30

Наименование конференции: 

  • International Conference on Interactive Collaborative Robotics (ICR 2023)

Наименование источника: 

  • Procceding of the International Conference on Interactive Collaborative Robotics (ICR 2023)

Обозначение и номер тома: 

vol. 14214

Город: 

  • Cham

Издательство: 

  • Springer

Год издания: 

2023

Страницы: 

334-344
Аннотация
The pitch and roll angles of the quadcopter attitude are controlled by torque arising from the difference in thrust of different rotors. Rotational dynamics of the quadcopter as a rigid body is considered. The pitch and roll angles that form the quadcopter tilt angle have similar dynamics for the case of symmetric quadcopter frame, so the pitch angle is studied separately in the paper. The finite frequency identification approach is used to find the transfer function from the experimental flight data. The approach needs data, when sine wave test signals are fed to the system input. In the case of the unstable loop of the quadcopter tilt angle, the closed loop identification procedure is used where the test signal is added to the setpoint of the operating controller. As a result, a more complex model is identified than is commonly used. Moreover, the nonlinear model of the quadcopter pitch angle is considered, taking into account the translation velocity. Parameters of this model are estimated from the same experimental data using the nonlinear grey-box model parameters identification procedure. The transfer function founded from this model confirms the structure of the transfer function obtained via the finite frequency identification procedure.

Библиографическая ссылка: 

Александров В.А., Резков И.Г., Шатов Д.В., Морозов Ю.В. Identification of the quadcopter rotational dynamics for the tilt angle / Procceding of the International Conference on Interactive Collaborative Robotics (ICR 2023). Cham: Springer, 2023. vol. 14214. С. 334-344.

75500

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Пленарный доклад

Название: 

Explainable Machine Learning in Service Management of Transport Corporation

Электронная публикация: 

Да

ISBN/ISSN: 

1865-0937

DOI: 

10.1007/978-3-031-44615-3_2

Наименование конференции: 

  • Conference on Creativity in Intelligent Technologies and Data Science (CIT&DS 2023)

Наименование источника: 

  • Communications in Computer and Information Science

Обозначение и номер тома: 

1909

Город: 

  • Cham

Издательство: 

  • Springer

Год издания: 

2023

Страницы: 

19-34 https://link.springer.com/chapter/10.1007/978-3-031-44615-3_2
Аннотация
An effective tool for the formation of intelligent transport systems is machine learning (ML). But applying increasingly sophisticated machine learning technologies is creative. This allows us to speak about the significant subjectivity of the conclusions of ML. Thus, a gap is formed with the theory and practice of management based on ML. Intelligent technologies for managing transport systems using understandable machine learning are called upon to fill this gap. The article discusses an approach to the development of such a technology for a three-level service management system in a corporation. At its top level is the Boss, at the middle level is the Curator, at the bottom level is the Manager. The Boss should increase the scope of services provided by the corporation. But the Curator knows his abilities better than the Boss. In turn, the Manager knows his potential better than the Curator. Thus, both the Curator and the Manager can manipulate the scope of services they provide in order to get more incentives. To avoid this, a service management system is proposed that includes two explainable ML procedures. Sufficient optimality conditions for this control system are found. In their implementation, both the Curator and the Manager are interested in maximizing the scope of services provided. Such a management system provides algorithmic accountability, responsibility, trust and recognition of ML in the corporate team. The proposed approach is illustrated by the example of service maintenance repair of rolling stock.

Библиографическая ссылка: 

Цыганов В.В. Explainable Machine Learning in Service Management of Transport Corporation / Communications in Computer and Information Science. Cham: Springer, 2023. 1909. С. 19-34 https://link.springer.com/chapter/10.1007/978-3-031-44615-3_2.

75488

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Socio-Political stability, Voter’s Emotional Expectations, and Information Management

ISBN/ISSN: 

0951-5666

DOI: 

10.1007/s00146-020-01017-8

Наименование источника: 

  • AI and Society

Обозначение и номер тома: 

Т.38

Город: 

  • Лондон

Издательство: 

  • Springer

Год издания: 

2023

Страницы: 

269–281
Аннотация
The dependence of socio-political stability on the emotional expectations of voters is investigated. For this, a model of a socio-political system consisting of a society of voters and a democratically elected politician is considered. The neuropsychological model of the voter takes into account his emotional expectations. The social stability is guaranteed by the expectations of positive emotions of all voters. Socio-political stability means both the social stability and the re-election of politician. One type of voter is a Progressist who seeks to fulfil his desires. It is shown that for the socio-political stability of the Progressist society, is enough a supportive environment. Another type of voter – a Phobic works in a fearful environment. It is shown that for the socio-political stability of the Phobic’s society, regular impacts that support their phobias are sufficient. As an example, emotional expectations, socio-political stability and information management in Eastern Europe are considered. The management of phobias in a weak economy is investigated. It is shown that in the absence of regular impacts supporting phobias a Phobic turns into a Progressist. Then the socio-political system becomes unstable with a weak economy and growth limits. The classification of the main social threats and phobias is given. The socio-political consequences of creating phobias, including corporate psychopaths and toxic leaders, are examined. Ways are proposed to resolve the contradiction between increased consumption and growth limits without the use of phobias, using high humanitarian technologies.

Библиографическая ссылка: 

Цыганов В.В. Socio-Political stability, Voter’s Emotional Expectations, and Information Management // AI and Society. 2023. Т.38. С. 269–281.

Публикация имеет версию на другом языке или вышла в другом издании, например, в электронной (или онлайн) версии журнала: 

Да

Связь с публикацией: 

75464

Автор(ы): 

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Доклад

Название: 

Visual Data Models in Scientific Search for Interpretation of Multiparametric Signals

Электронная публикация: 

Да

ISBN/ISSN: 

978-3-031-44615-3

DOI: 

10.1007/978-3-031-44615-3_8

Наименование конференции: 

  • Conference on Creativity in Intelligent Technologies and Data Science (CIT&DS 2023)

Наименование источника: 

  • Communications in Computer and Information Science

Обозначение и номер тома: 

1909 CCIS

Город: 

  • Cham

Издательство: 

  • Springer

Год издания: 

2023

Страницы: 

117–130
Аннотация
Modern visualization methods are used to convey information about an object or process and as a tool for search and decision-making process. Data and signals, in AQ1 analog and digital form, are only valuable if they are analyzed for a specific goal. In this work we etablish the classification of visualization tasks from the point of analyzing heterogeneous multidimensional data, including the AQ2 case when at the initial stage it is required to formulate a research hypothesis. A classification of visualization metaphors is presented, which is necessary for a conscious choice of tools for visualization and data analysis. This is important for understanding and managing the interpretability of information, the formation of the correct meaning and operational understanding. We demonstrate examples of static and dynamic models of visualization. Based on the semantic model and proposed classification, the principles of visual metaphors formation for solving several applied tasks in various fields of knowledge (oil and gas production, biomedicine, materials science, education, management, etc.) are formulated.

Библиографическая ссылка: 

Захарова А.А., Шкляр А.В., Вехтер Е.В. Visual Data Models in Scientific Search for Interpretation of Multiparametric Signals / Communications in Computer and Information Science. Cham: Springer, 2023. 1909 CCIS. С. 117–130.

75460

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Preferences over Mixed Manna

ISBN/ISSN: 

1931-6828

DOI: 

10.1007/978-3-031-31654-8_11

Наименование источника: 

  • Springer Optimization and Its Applications

Обозначение и номер тома: 

Vol. 202

Город: 

  • Cham

Издательство: 

  • Springer

Год издания: 

2023

Страницы: 

169-178
Аннотация
A mixed manna contains alternatives that are the best for some agents, and alternatives that are the never best for all agents. We define a new class of Condorcet domains that are called GF-domains. GF-domains are unique Condorcet domains that are weakly minimally rich, semi-connected and contain a pair of mutually reverse preference orders. GF-domains are single-peaked on a circle that leads to a clear interpretation.

Библиографическая ссылка: 

Карпов А.В. Preferences over Mixed Manna // Springer Optimization and Its Applications. 2023. Vol. 202. С. 169-178.

75188

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Глава в книге

Название: 

Function Approximation for Using the Uncertainty Theory in Preliminary Aircraft Aerodynamic Design

Наименование источника: 

  • Agricultural Cyber-Physical Systems (Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East)

Город: 

  • Люксембург

Издательство: 

  • Springer

Год издания: 

2023

Страницы: 

229-237
Аннотация
The article discusses approaches to solving the function approximation problem within parametric synthesis of design solutions using the theory of uncertainty. The uncertainty theory allows solving optimization problems under epistemic un-certainty with low computational costs. In many cases, to apply the theory of un-certainty at the stage of preliminary design, we have to solve the problem of ap-proximating experimental data for obtaining analytical expressions that reflect the relationship between parameters of technical objects. In this regard, the choosing an approximation method problem arises that provides high accuracy and the possibility of constructing numerical characteristics of functions that depend on uncertain parameters. We consider the experimental data for solving two arising in practice task, using multiple non-linear regression techniques, cubic splines and neural networks. As a result of experiments had identified the need for pre-processing of the input data to produce satisfactory results. Research results were used to compare methods and identifying advantages and disadvantages.

Библиографическая ссылка: 

Вересников Г.С. Function Approximation for Using the Uncertainty Theory in Preliminary Aircraft Aerodynamic Design / Agricultural Cyber-Physical Systems (Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East). Люксембург: Springer, 2023. С. 229-237.

75169

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Глава в книге

Название: 

Manipulation by Coalitions in Voting with Incomplete Information

ISBN/ISSN: 

978-3-031-31653-1

DOI: 

https://doi.org/10.1007/978-3-031-31654-8_23

Наименование источника: 

  • Data Analysis and Optimization. Springer Optimization and Its Applications

Город: 

  • Cham

Издательство: 

  • Springer

Год издания: 

2023

Страницы: 

377–395
Аннотация
We consider the problem of coalitional manipulation in collective decision making and a probabilistic approach for solving it. We assume that voters have some information about other voters’ preferences from opinion polls held before voting. There are 5 different types of poll information functions. Coalition members are assumed to have identical preferences. We consider the probability that in a randomly chosen preference profile there exists a coalition which has an incentive to manipulate under a given type of poll information. We answer the following questions. How does coalitional manipulability differ from individual? How do different types of poll information affect coalitional manipulability? We answer these questions via both theoretical investigation and computational experiments.

Библиографическая ссылка: 

Веселова Ю.А. Manipulation by Coalitions in Voting with Incomplete Information / Data Analysis and Optimization. Springer Optimization and Its Applications. Cham: Springer, 2023. С. 377–395.

75161

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Limiting the Search in Brute Force Method for Subsets Detection

ISBN/ISSN: 

978-3-031-47858-1

DOI: 

10.1007/978-3-031-47859-8_24

Наименование конференции: 

  • 14th International Conference Optimization and Applications (OPTIMA-2023, Petrova, Montenegro)

Наименование источника: 

  • Proceedings of the 14th International Conference Optimization and Applications (OPTIMA-2023, Petrova, Montenegro)

Город: 

  • Petrovac, Montenegro

Издательство: 

  • Springer

Год издания: 

2023

Страницы: 

329-343
Аннотация
A set of methods for limiting the complete enumeration of the number of combinations Ckn for 1 ≤ k ≤ n is proposed. The proposed methods can be used in combinatorial algorithms for calculating subsets of the original set. They are applicable if the calculation of subsets is carried out using a selection function with certain properties. An example of using an algorithm to calculate the set of minimal sections of a graph is considered. It is shown that these methods can be used to solve a number of different NP-complete problems. The results of numerical experiments are presented.

Библиографическая ссылка: 

Куприянов Б.В., Рощин А.А. Limiting the Search in Brute Force Method for Subsets Detection / Proceedings of the 14th International Conference Optimization and Applications (OPTIMA-2023, Petrova, Montenegro). Petrovac, Montenegro: Springer, 2023. С. 329-343.

75036

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Database Migration from ORACLE to PostgreSQL

Электронная публикация: 

Да

ISBN/ISSN: 

0361-7688

DOI: 

10.1134/S0361768823050055

Наименование источника: 

  • Programming and Computer Software

Обозначение и номер тома: 

Vol. 49 N 5

Город: 

  • Москва

Издательство: 

  • Springer

Год издания: 

2023

Страницы: 

455–463.
Аннотация
Methods of data transfer from the Oracle environment to the PostgreSQL environment with stageby- stage organization of actions and determination of the sequence of migration are considered. The main directions for the transformation of the structure of databases, data formats and executed objects are identified. Methods for converting stored procedures and triggers written in procedural languages (PL/SQL and PL/pgSQL) are specified. Software change on nodes directly connected (associated) with the database server and minimization of downtimes during migration are considered, which allows the transfer to be performed for geographically distributed and round-the-clock functioning objects. Examples of changing the speed of query execution before and after migration are given for systems of various types.

Библиографическая ссылка: 

Курако Е.А., Орлов В.Л. Database Migration from ORACLE to PostgreSQL // Programming and Computer Software. 2023. Vol. 49 N 5. С. 455–463.

Страницы