PROGRAM SYSTEMS: THEORY AND APPLICATIONS

12+

 

Online Scientific Journal published by the Ailamazyan Program Systems Institute of the Russian Academy of Sciences

2017 Issue 1
2017 Issue 2
2017 Issue 3
2017 Issue 4

Papers are accepted in the form of a PDF file

To view the PDF files, you will need Adobe Acrobat Reader

    

• Содержание выпуска •
• Software and Hardware for Distributed Systems and Supercomputers •
• Mathematical Foundations of Programming •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Healthcare Information Systems •

Artificial Intelligence, Intelligence Systems, Neural Networks

Responsible for the Section: doctor of technical Sciences Vyacheslav Khachumov., candidate of technical Sciences Eugene Kurshev.

On the left: assigned number of the paper, submission date, the number of A5 pages contained in the paper, and the reference to the full-text PDF .

 

Article # 22_2017

23 p.

PDF

submitted on 12th May 2017 displayed on website on 25th Sept 2017

Nikolay Abramov, Aleksandr Talalayev, Vitaliy Fralenko, Vyacheslav Khachumov, Oleg Shishkin
The high–performance neural network system for monitoring of state and behavior of spacecraft subsystems by telemetry data

In work the neural network system of control and diagnostics of subsystems of space vehicles is described. The architecture, basic methods and principles of the software package operation are presented. The efficiency of artificial neural networks
in the tasks of monitoring, diagnosing and predicting the behavior of subsystems of the spacecraft are shown. Experimental studies confirming the quality targets were carried out. (In Russian).


Key words: spacecraft, artificial neural network, monitoring, diagnostics, monitoring, telemetry data, forecasting.

article citation

http://psta.psiras.ru/read/psta2017_3_109-131.pdf

Article # 23_2017

35 p.

PDF

submitted on 05th Jule 2017 displayed on website on 25th Sept 2017

Seda Egikyan
Up-to-date methods of the modality analysis in natural language texts

The article reviews the up-to-date methods of recognizing and annotating modal characteristics in the natural language texts. Widespread views are presented in their diversity, including those concerned with the extended modality and those aiming at the differentiation between moralized and unmodalized information. (In Russian).


Key words: NLP, natural language processing, natural langage text mining, information extractiong, event extraction, modality, evidentiality, certainty, speculation.

article citation

http://psta.psiras.ru/read/psta2017_3_133-167.pdf
   

• Software and Hardware for Distributed Systems and Supercomputers •
• Mathematical Foundations of Programming •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Healthcare Information Systems •

 

Adress: Ailamazyan Program Systems Institute of the Russian Academy of Sciences, PSTA Online Journal, 4 a Peter the First Street,
Veskovo village, Pereslavl area, Yaroslavl region, 152021 Russia
Phone: +7-4852-695-228.       E-mail: info@psta.psiras.ru.      Website: http://psta.psiras.ru

© Electronic Scientific Journal "Program Systems: Theory and Applications" 2010-2017
© Ailamazyan Program System Institute of RAS 2010-2018