Potriasaev S., Zelentsov V., Pimanov I. Computational Processes Management Methods and Models in Industrial Internet of Things // Advances in Intelligent Systems and Computing, vol 1047. 2019. P. 266-276. Springer, Cham. DOI: 10.1007/978-3-030-31362-3_26
Continue reading …Potryasaev
Application of Cyber-Physical System and Real-Time Control Construction Algorithm in Supply Chain Management Problem
Literature
Inna Trofimova, Boris Sokolov, Dmitry Nazarov, Semyon Potryasaev, Andrey Musaev, and Vladimir Kalinin. Application of Cyber-Physical System and Real-Time Control Construction Algorithm in Supply Chain Management Problem // Intelligent Distributed Computing XIII / I. Kotenko et al. (Eds.) Proceedings of the 13th International Symposium on Intelligent Distributed Computing IDC 2019 (7–10 October 2019, Saint-Petersburg, Russia). Series “Studies in Computational Intelligence”, vol 868. Springer, Cham. Р.394–403. https://doi.org/10.1007/978-3-030-32258-8_46
Continue reading …Automated logical-probabilistic methodology and software tool as component of the complex of methodologies and software tools for evaluation of reliability and survivability of onboard equipment of small satellites
Literature
Skobtsov V., Lapitskaja N., Saksonov R., Potryasaev S. Automated logical-probabilistic methodology and software tool as component of the complex of methodologies and software tools for evaluation of reliability and survivability of onboard equipment of small satellites // Advances in Intelligent Systems and Computing, Volume 763, 2019, 7th Computer Science On-line Conference, CSOC 2018; Vsetin; Czech Republic; 1 April 2018 to 1 April 2018. P.452-463. http://doi.org/10.1007/978-3-319-91186-1_47
Continue reading …Theoretical and Experimental Evaluation of PSO-K-Means Algorithm for MRI Images Segmentation Using Drift Theorem
Literature
Samer El-Khatib, Yuri Skobtsov, Sergey Rodzin, and Semyon Potryasaev. Theoretical and Experimental Evaluation of PSO-K-Means Algorithm for MRI Images Segmentation Using Drift Theorem // Artificial Intelligence Methods in Intelligent Algorithms. Proceedings of 8th Computer Science On-line Conference 2019, Vol. 2. P.316-323. https://doi.org/10.1007/978-3-030-19810-7_31
Continue reading …Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain
Literature
Alexandre Dolgui, Dmitry Ivanov, Semyon Potryasaev, Boris Sokolov, Marina Ivanova & Frank Werner. Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain // International Journal of Production Research. 2019. https://doi.org/10.1080/00207543.2019.1627439
Continue reading …Innoforestview project meeting in Helsinki
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Innoforestview project meeting in Helsinki
Continue reading …Conference at Space Research Institute of the RAS
News
On November 11-15, 2019, the 17th All-Russian Open Conference «Modern issues of remote sensing from space» was held at Space Research Institute of the RAS (Moscow).
At the section “Remote sensing of vegetation and soil cover: monitoring of forest ecosystems”, LITSAM representative Victor Mochalov made a report on the topic:
Estimation of anthropogenic impact on forests in border regions based on multi- and hyperspectral Earth observation data processing” (Authors: Mochalov V.F., Grigorieva O.V., Zelentsov V.A., Potriasaev S.A., Alekseev A.S., Huitu H.).
The research is carried out jointly with specialists from St. Petersburg State Forestry University and the Natural Resources Institute Finland (LUKE) with financial support of the international project KS1309 “InnoForestView” and includes current results of the project implementation.
Conference paper is published in electronic proceedings.
Estimation of anthropogenic impact on forests in border regions based on multi- and hyperspectral Earth observation data processing
Literature
Mochalov V.F., Grigorieva O.V., Zelentsov V.A., Potriasaev S.A., Alekseev A.S., Huitu H. Estimation of anthropogenic impact on forests in border regions based on multi- and hyperspectral Earth observation data processing // Proceedings of 17th All-Russian Open Conference «Modern issues of remote sensing from space», Space Research Institute of the RAS, November 11-15, 2019 [In Russian].
A Model-Oriented System for Operational Forecasting of River Floods
Literature
Zelentsov, V.A., Alabyan A.M., Krylenko I.N., Pimanov I.Yu., Ponomarenko M.R., Potryasaev S.A., Semenov A.E., Sobolevskii V.A., Sokolov B.V., Yusupov R.M. A Model-Oriented System for Operational Forecasting of River Floods // Herald of the Russian Academy of Sciences. 2019. 89. 405-417. DOI: 10.1134/S1019331619040130.
Continue reading …Integrated use of GIS, remote sensing data and a set of models for operational flood forecasting
Literature
Zelentsov V. A., Potryasaev S.A., Pimanov I.Y., Ponomarenko M.R. Integrated use of GIS, remote sensing data and a set of models for operational flood forecasting // Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., 2019, XLII-3/W8, 477–483. https://doi.org/10.5194/isprs-archives-XLII-3-W8-477-2019.
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