Aleksey D. Bakhmut, Aleksey V. Krylov, Margaret A. Krylova, Michael Yu. Okhtilev, Pavel A. Okhtilev and Boris V. Sokolov. Proactive Management of Complex Objects Using Precedent Methodology // Artificial Intelligence and Algorithms in Intelligent Systems. Proceedings of 7th Computer Science On-line Conference 2018, Volume 2. P.298–307.
Sokolov
InMotion in Novosibirsk
News
On October 08-10, 2018, the work meeting on ERASMUS+ InMotion project was held at Novosibirsk State Technical University.
The representatives of all project partners took part in the event. The participants discussed the main results of the 4th working period and prepared the work plan for the next period.
During the discussion the head of LITSAM Boris Sokolov presented the structure and examples of electronic portfolio of SPIIRAS PhD students.
InMotion project meeting at SPIIRAS
News
On June 23 – July 9, 2018, in the framework of ERASMUS+ project «InMotion – Innovative teaching and learning strategies in open modelling and simulation environment for student-centered engineering education» the 1st International Open Summer School 2018 was held in St. Petersburg.
This event was organized by St. Petersburg State Marine Technical University, Peter the Great St. Petersburg Polytechnic University and St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences.
On July 6, 2018, the project participants and more than 40 students from partner universities visited SPIIRAS, where LITSAM representatives made several reports on the topic of laboratory’s current scientific activities.
The head of LITSAM Professor Sokolov B.V. spoke about modern technologies of complex objects and systems modeling . Chief researcher, Professor Zelentsov V.A. reported about technologies of designing and using thematic services based on modern and perspective platforms. As an example of practical implementation of such technologies Professor Zelentsov V.A. and junior researcher Pimanov I.Yu. showed the work of operational river flood monitoring and forecasting system «Prostor» created under the Russian Science Foundation grant and made a report about the possibilities and the experience of using remote sensing data for verification of monitoring and forecasting results.
During the seminar project partners discussed the current stage of the project and the prospects for further cooperation.
Best Paper Award
News
In the framework of 55th anniversary celebration International Journal of Production Research selected 15 best papers from papers published in 2016 and 2017.
The head of LITSAM Professor Sokolov B.V. obtained the IJPR Best Paper Award for the following paper:
“A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0” (Authors: Dmitry Ivanov, Alexandre Dolgui, Boris Sokolov, Frank Werner & Marina Ivanova).
The access to the best papers will be free during the 2018 via the IJPR website.
Project «Technology-US» continues
News
LITSAM won the tender to continue the work on project «Technology-US» under the Union State of Russia and Belarus program.
The project customer is Space Systems Research and Development Institute (NII KS). The work on the project will last until 2020.
The research is aimed at development of technology for managing the configuration (reconfiguration) of small-size spacecraft on-board equipment in order to improve their survivability, in particular, to ensure their resistance to radiation effects.
Dynamic Models of Self-organization Through Mass Behavior in Society
Literature
Sokolov B., Verzilin D., Maximova T., Sokolova I. Dynamic Models of Self-organization Through Mass Behavior in Society // Advances in Intelligent Systems and Computing. Volume 1. Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 679). – Publisher: Springer International Publishing AG, 2018, pp. 114-123(Print ISBN 978-3-319-68320-1, Online ISBN 978-3-319-68321-80) DOI 10.1007/978-3-319-68321-8
Mathematical model and algorithm of operation scheduling for monitoring situation in local waters
Literature
Sokolov Boris, Palitsyn Vladimir, Nazarov Dmitriy. Mathematical model and algorithm of operation scheduling for monitoring situation in local waters 12th International Scientific-Technical Conference on Electromechanics and Robotics “Zavalishin’s Readings” – 2017 (MATEC Web Conf.). Volume 113 (2017) 02012. [электронный ресурс] https://www.matec-conferences.org/articles/matecconf/pdf/2017/27/matecconf_er2017_02012.pdf. DOIhttps://doi.org/10.1051/matecconf/201711302012
Methods and algorithms of ship-building manufactory operation and resources scheduling
Literature
Sokolov Boris, Zelentsov Vyacheslav, Mustafin Nikolay, Kovalev Alexander, Kalinin Vladimir. Methods and algorithms of ship-building manufactory operation and resources scheduling //Proceedeings of The 19th International Conference on Harbor, Maritime & Multimodal Logistics Modelling and Simulation (HMS2017), September 18-20, 2017, Barselona, Spain. P.81–86
Scheduling of recovery actions in the supply chain with resilience analysis considerations
Literature
Ivanov Dmitry, Dolgui Alexandre, Sokolov Boris. Scheduling of recovery actions in the supply chain with resilience analysis considerations // International Journal of Production Research.[электронный ресурс] http://www.tandfonline.com/doi/full/10.1080/00207543.2017.1401747
Robust classification of texture land forest inventory based on model of minimally sufficient features
Literature
Yury Ipatov, Alexandr Krevetsky, Yury Andrianov, Boris Sokolov. Robust classification of texture land forest inventory based on model of minimally sufficient features // Journal of Applied Engineering Science. 2017. No.3. Vol.15. Part 1. P.236–241