ISSN 1991-2927
 

ACP № 3 (61) 2020

Author: "Yury Aleksandrovich Lapshov"

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Alexander Viacheslavovich Mikheev, graduated from Ulyanovsk State Technical University; Programmer of the Ulyanovsk Regional Center of New Information Technologies at the Ulyanovsk State Technical University; an author of more than 15 research papers, a holder of the certificate of software registration; the area of his scientific interests relates to the machine learning. e-mail: a.miheev@simcase.ruA.V. Mikheev

Kirill Valerevich Sviatov, Candidate of Sciences in Engineering; graduated from Ulyanovsk State Technical University; Dean of the Faculty of Information Systems and Technologies of UlSTU; an author of more than 40 articles, three monographs, three textbooks; a holder of four certificates of software registration; the area of his scientific interests relates to machine learning and robotics. e-mail: k.svyatov@ulstu.ruK.V. Sviatov

Iurii Aleksandrovich Lapshov, Candidate of Sciences in Engineering; graduated from Ulyanovsk State Technical University; Associate Professor of the Computer Engineering Department at UlSTU; an author of 32 articles, a monograph; a holder of two certificates of software registration; the area of his scientific interests relates to computer-aided design systems, workflow management. e-mail: y.lapshov@ulstu.ruI.A. Lapshov

Vadim Georgievich Tronin, Candidate of Sciences in Engineering; graduated from Ulyanovsk State Technical University; Associate Professor of the Department of Information Systems at UlSTU; an author of more than 50 articles, a textbook; the area of his scientific interests relates to the project management and theory of solving inventive problems. e-mail: v.tronin@ulstu.ruV.G. Tronin

Software for determining features of a mobile robot’s path with the use of neural networks61_8.pdf

The article describes an approach to the implementation of a software package for determining the probability of a collision of a mobile robot with obstacles. This approach is based on a neural network model with attention. Key feature is the method of the training dataset generation: the labeling of obstacles and the values of the probability of collision with them is performed not in manual mode, but using a deterministic algorithm that uses the result of semantic segmentation using another pre-trained neural network. This method allows to use a poorly detailed description of the external environment for training convolutional neural networks with attention on the example of recognizing obstacles when a mobile robot moves in simulation mode. At the same time, low detail allows to reduce the time-consuming process of manual data labeling due to automatically generated sampling in the NVIDIA Isaac environment, and the attention mechanism allows to increase the interpretability of the analysis results.

Artificial intelligence, neural networks, machine learning, computer vision, attention networks, robotics.

2020_ 3

Sections: Artificial intelligence

Subjects: Artificial intelligence.

Mikhail Yurievich Romodin, FRPC OJSC ‘RPA ‘MARS’, Post-graduate Student at the Chair ‘Computer Engineering’ of Ulyanovsk State Technical University; graduated from the Faculty of Information Systems and Technologies of Ulyanovsk State Technical University; author of articles in the field of CAD. [e-mail: romodin_mihail@mail.ru]M. Romodin,

Yury Aleksandrovich Lapshov, Ulyanovsk State Technical University, has a Master’s degree in Engineering and Technologies; graduated from Ulyanovsk State Technical University; Post-graduate Student at the Chair ‘Computer Engineering’ of Ulyanovsk State Technical University; author of articles in the field of CAD. [e-mail: y.lapshov@mail.ru]Y. Lapshov,

Petr Ivanovich Sosnin, Ulyanovsk State Technical University, Honoured Worker of the Higher School of the Russian Federation; Doctor of Engineering, Professor; graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; Head of the Chair ‘Computer Engineering’ of Ulyanovsk State Technical University; author of numerous papers in the field of conceptual design of computer-aided systems. [e-mail: sosnin@ulstu.ru]P. Sosnin

Pseudocode Programming in Conceptual Design of Data Bases 32_14.pdf

The article presents the facilities of design decision pseudocode programming in conceptual design of data bases of computer-aided systems. The proposed approach and its implementation tools are oriented at the experiment with design decision releases in the context of the exploited computer-aided systems.

Computer-aided design, experience base, data base.

2013_ 2

Sections: Software and mathematical support of computers, computer systems and networks

Subjects: Computer-aided engineering, Information systems.


Petr Ivanovich Sosnin, Ulyanovsk State Technical University, honored worker of the Higher School of the Russian Federation; Doctor of Engineering, Professor; graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; head of the Chair Computer Engineering at Ulyanovsk State Technical University; author of numerous papers in the field of conceptual design of computer-aided systems [e-mail: sosnin@ulstu.ru]P. Sosnin,

Yury Alexanderovich Lapshov, Ulyanovsk State Technical University, has a Masters degree in Engineering and Technologies; graduated from Ulyanovsk State Technical University; post-graduate student at the Chair Computer Engineering of Ulyanovsk State Technical University; author of articles in the field of CAD [e-mail: y.lapshov@mail.ru]Y. Lapshov,

Vladimir Anatolyevich Maklaev, Federal Research-and-Production Center Open Joint-Stock Company Research-and-Production Association Mars, Candidate of Engineering; graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; Director General of Federal Research-and-Production Center Open Joint-Stock Company Research-and-Production Association Mars; author of articles in the field of CAD [e-mail: mars@mv.ru]V. Maklaev

Tools for Programmed Control of Workflows in Design of Computer-aided Systems 30_11.pdf

The article presents tools for programmed control of joint activity of designers, concerning development of computer-aided systems. The tools are based on pseudocode programming of agreed task solution taking into account the complexity of such activity.

Computer-aided design, workflow, programmed control, pseudocode programming.

2012_ 4

Sections: Computer-aided design systems

Subjects: Computer-aided engineering, Automated control systems.


Petr Ivanovich Sosnin, Ulyanovsk State Technical University, honored worker of the Higher School of the Russian Federation; Doctor of Engineering, Professor; graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; head of the Chair Computer Engineering at Ulyanovsk State Technical University; author of numerous papers in the field of conceptual design of computer-aided systems [e-mail: sosnin@ulstu.ru]P. Sosnin,

Yury Alexanderovich Lapshov, Ulyanovsk State Technical University, has a Masters degree in Engineering and Technologies; graduated from Ulyanovsk State Technical University; post-graduate student at the Chair Computer Engineering of Ulyanovsk State Technical University; author of articles in the field of CAD [e-mail: y.lapshov@mail.ru]Y. Lapshov,

Vladimir Anatolyevich Maklaev, Federal Research-and-Production Center Open Joint-Stock Company Research-and-Production Association Mars, Candidate of Engineering; graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; Director General of Federal Research-and-Production Center Open Joint-Stock Company Research-and-Production Association Mars; author of articles in the field of CAD [e-mail: mars@mv.ru]V. Maklaev

Pseudocode Programmed Control of Workflows for Design of Computer-aided Systems 29_6.pdf

The article presents facilities and a language for pseudocode programming of workflows, designed for algorithmic representation of business processes to be executed in design of computer-aided systems. The specific character of the language consists in its orientation to intelligent processor (designer role) which shares common work with computer processor and other business-process executers.

Computer-aided design, workflow, software, pseudocode programming.

2012_ 3

Sections: Computer-aided design systems

Subjects: Computer-aided engineering, Automated control systems.


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