PROBLEMS OF CONTROL OF MIDWATER TRAWL COMPLEXES  USING EQUATIONS OF ELECTRIC AND MECHANICAL DRIVES  OF TRAWL WINCHES

The paper touches upon the problems of transition to advanced digital, intelligent man-ufacturing technologies, robotic systems, new materials and design methods, the creation of systems for processing large amounts of data, machine learning and artificial intelligence. Automation of fishing process requires an interdisciplinary approach using modern information technologies. The possibility of using artificial intelligence technologies for solving the problems of predictive modeling of the behavior of a trawl system while fishing on a self-learning neural network has been proved. The equations of electric and mechanical drives of trawl winches for controlling the shape-changing design of a midwater trawl are given. The question of improving the control characteristics of a midwater trawl system by introducing a control architecture adapted for the trawl system taking into account the industrial requirements and by developing a mathematical model of the trawl system, in-cluding an accurate model of hydrodynamic forces on the trawl flaps is considered.

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CONTENT OF TEACHING THE ELEMENTS OF ARTIFICIAL INTELLIGENCE IN A SCHOOL INFORMATICS COURSE

Informatics in school ◽

10.32517/2221-1993-2020-19-4-3-10 ◽

2020 ◽

pp. 3-10

Author(s):

I. V. Levchenko

Keyword(s):

Artificial Intelligence ◽

General Education ◽

Extracurricular Activities ◽

Information Technologies ◽

Learning Experience ◽

9Th Grade ◽

Modern Information ◽

Further Development ◽

Form Variant ◽

Theoretical Foundations

The article considers the feasibility of integrating artificial intelligence technologies into school education and identifies a problem in identifying didactic elements in the field of artificial intelligence, which must be mastered in a school informatics course. The purpose of the article is to propose variant of the content of teaching the elements of artificial intelligence for the general education of schoolchildren as part of the curricular and extracurricular activities in informatics. An analysis of the psychological, pedagogical and scientific-methodical literature in the field of artificial intelligence made it possible to identify the appropriateness of teaching schoolchildren the elements of artificial intelligence in the framework of a comprehensive informatics course, as the theoretical foundations of modern information technologies. Summarizing and systematizing the learning experience of schoolchildren in the field of artificial intelligence made it possible to form variant of the content of teaching the elements of artificial intelligence, which can be implemented in a compulsory informatics course for 9th grade, as well as in elective classes. The results of the study are the theoretical basis for the further development of the components of the methodological system of teaching the elements of artificial intelligence in a school informatics course. The research materials may be useful to specialists in the field of teaching informatics and to informatics teachers.

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Priority of scientific and technological development "The transition to advanced digital, intelligent manufacturing technologies, robotic systems, new materials and methods of design, the creation of systems for processing large amounts of data, machine learning and artificial intelligence". Opening speech of the chairman of the priority council of RAS academician I.A. Kalyaev

Вестник Российской академии наук ◽

10.31857/s0869-5873894348-350 ◽

2019 ◽

Vol 89 (4) ◽

pp. 348-350

Author(s):

I. A. Kalyaev

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Technological Development ◽

Intelligent Manufacturing ◽

Robotic Systems ◽

New Materials ◽

The Creation ◽

Manufacturing Technologies ◽

Scientific And Technological Development

Opening speech of the chairman of the priority council of RAS academician I.A. Kalyaev

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Manufacturing Gets Smart

Mechanical Engineering ◽

10.1115/1.2016-sep-1 ◽

2016 ◽

Vol 138 (09) ◽

pp. 34-39 ◽

Cited By ~ 1

Author(s):

Alan S. Brown

Keyword(s):

Artificial Intelligence ◽

Information Technology ◽

Information Technologies ◽

Manufacturing Industry ◽

New Combination ◽

Intelligent Software ◽

Modern Information ◽

Factory Floor

This article explores impact and advantages of information technology on manufacturing industry. Information technology on the factory floor promises a revolution in productivity. The industrial hype machine is among the favorites because of its full-on mashup of manufacturing with modern information technologies. There is use of intelligent software and machines to interact with one another (and with people) autonomously, both in the factory and through the cloud. According to the experts, this new combination of brains and muscle will revolutionize manufacturing in ways that rival the introduction of steam, electricity, and automation. It is foreseen that factory machines and logistics equipment would communicate with one another autonomously to assign and route jobs through the factory – and reroute them when unexpected problems arise. Cloud-based artificial intelligence would constantly compare parts and processes to optimize performance. As software gets better at communicating, ubiquitous sensors are adding more data to the mix.

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METHODOLOGICAL FOUNDATIONS OF KNOWLEDGE METROLOGY FOR MEASUREMENT INTELLECTUALIZATION

SOFT MEASUREMENTS AND COMPUTING ◽

10.36871/2618-9976.2020.12.001 ◽

2020 ◽

Vol 1 (12) ◽

pp. 5-17

Author(s):

S. V. Prokopchina ◽

Keyword(s):

Artificial Intelligence ◽

Information Processing ◽

Information Systems ◽

Metrological Support ◽

Information Technologies ◽

Bayesian Decision ◽

Considerable Uncertainty ◽

Dynamic Constraints ◽

Modern Information ◽

The Stability

The functioning of modern information systems takes place in conditions of considerable uncertainty and heterogeneity of information flows, which makes it difficult to process such information: solutions are inaccurate, unstable, unfounded and not interpreted, which has been repeatedly noted in the scientific literature. This article suggests one of the methodological ways to eliminate these difficulties based on the application of the regularizing Bayesian approach (RBA) and Bayesian intelligent measurements (BIM). Information processing, both in the form of data and in the form of knowledge, is performed in BIM systems on special scales, scales with dynamic constraints that ensure the integration of numerical and linguistic information based on a modified Bayesian decision inference rule. Traceability of measurement solutions is ensured by introducing a parallel branch of metrological support for information processing. The semantic components of conjugate scales of the SDC type implement the interpretability (explainability) of measurements. The introduction of metrological justification of knowledge in technologies based on RBA provides a significant increase in the efficiency of information processing, both in artificial intelligence systems that traditionally work with knowledge, and in measurement systems for the intellectualization of measurements by ensuring the stability, interpretability and required quality of the resulting solutions. In addition, it is the metrological support of information technologies that will allow for the reliable integration of artificial intelligence and measurement technologies, which is an urgent need of modern information systems.

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