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1st Scientific-Practical Workshop on Information Technologies: Algorithms, Models, systems, ITAMS 2018

作者： Gachenko, Andrei S. Rugnikov, Gennady M. Hmelnov, Alexei E. Irkutsk Scientific Center SB RAS Irkutsk Russia Matrosov Institute for System Dynamics and Control Theory SB RAS Irkutsk Russia

This article discusses the implementation of the basic components of spatial data infrastructure for the implementation of interdisciplinary research. The main purpose of the components is to provide a common platform for collaboration with distributed geoprocessing services and spatial data. The platform implements common for the services of geoprocessing functions, such as calling the distributed geoprocessing services, access control system, data visualization, etc., facilitating new services release for public access. © 2018 CEUR-WS. All rights reserved.

关键词： Data visualization

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Integer Programming Approach to the Data Traffic Paths Recovering Problem 19th

Integer Programming Approach to the Data Traffic Paths Recov...

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19th International Conference on Mathematical Optimization theory and Operations Research, MOTOR 2020

作者： Vasilyev, Igor Zhang, Dong Ren, Jie Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences Irkutsk Russia Algorithm and Technology Development Department Global Technical Service Department Huawei Technologies Co. Ltd. Dongguan China Moscow Advanced Software Technology Lab Huawei Russian Research Institute Moscow Russia

ISBN: (纸本)9783030499877

In this paper, we propose a novel approach to recovering path relationships in communication networks. The path relationship is one of the key input data which is necessary for network operation and maintenance. We have a continuous network transformation, upgrades, expansions, service allocations, thus the network physical topology and paths relationship are permanently changing with high frequency. Our approach is aimed at recovering the path relationships through flow information of each arc in the network. Getting the flow information is not a big technical problem and its control is included in the basic toolbox for network monitoring. We consider two scenarios which lead us to integer linear programs. The both of them minimize the flow deviation, where in the first one we look for a directed spanning tree (r-arborescence) and, in the second one—more general origin/destination paths (OD-paths). We propose mixed integer linear programming formulations for both problems. Their feature is that they contain the non-polynomial number of constraints which are considered implicitly by the cutting planes approach. The preliminary computation results showed that the large-scale instances of the first scenario can easily be solved. At the same time, the optimal solutions of second scenario problems can be found only on small- and medium-size instances, which inspires for the further research. © 2020, Springer Nature Switzerland AG.

关键词： Integer programming

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Information technologies for monitoring of anthropogenic impacts to Lake Baikal 1

Information technologies for monitoring of anthropogenic imp...

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1st Scientific-Practical Workshop on Information Technologies: Algorithms, Models, systems, ITAMS 2018

作者： Fereferov, Evgeniy S. Gachenko, Andrey S. Hmelnov, Alexey E. Fedorov, Roman K. Matrosov Institute for System Dynamics and Control Theory SB RAS Irkutsk Russia Irkutsk scientific center SB RAS Irkutsk Russia

The article considers information technologies for monitoring pollution of lake systems. The authors created a geoportal that provides collection and generalization of the results of researches of anthropogenic impact on the ecology of Lake Baikal. Expanded on the geoportal Internet services, provide a comprehensive analysis of collected data and their geoprocessing. The open architecture of the developed geoportal allows expanding its functionality by addition of new services which can be deployed both locally, on the geoportal server, as well as on any other server in the Internet. The interoperability of software systems that implement the analysis and geodata processing functions is provided due to support of geoinformatics standards. One of the features of the developed geoportal is that users can independently operate structures of data and adjust launching of services of geoprocessing, including those services that use computing power of The Center of collective usage "irkutsk supercomputer center Siberian Branch of the Russian Academy of Science". The authors carried out the initial filling of the system database with the results of research, thematic cartographic layers were constructed. A number of services was deployed on the geoportal in order to provide geodata processing. Authors constructed a coordinated digital model of land and bottom relief near Listvyanka using the original library of triangulation and the technology of morphing of digital maps. This model of relief allows solving the problems of analysis of the distribution of pollutants taking into account the landscape. © 2018 CEUR-WS. All rights reserved.

关键词： Lakes

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The technology of classification geospatial data based on WPS standard 1

The technology of classification geospatial data based on WP...

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1st Scientific-Practical Workshop on Information Technologies: Algorithms, Models, systems, ITAMS 2018

作者： Avramenko, Yuriy V. Fedorov, Roman K. Matrosov Institute for System Dynamics and Control Theory SB RAS Irkutsk Russia Irkutsk Scientific Center SB RAS Irkutsk Russia

Nowadays geoportals provide some geospatial tools as services, usually implemented using the WPS standard. In this paper geoportal main principles are observed and existing methods and present technologies of classifi... 详细信息

关键词： Data handling

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Service compositions in problems of urban planning 1

Service compositions in problems of urban planning

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1st Scientific-Practical Workshop on Information Technologies: Algorithms, Models, systems, ITAMS 2018

作者： Fedorov, Roman K. Shumilov, Alexander S. Irkutsk Scientific Center SB RAS Irkutsk Russia Matrosov Institute for System Dynamics and Control Theory SB RAS Irkutsk Russia

Information technologies are being applied in almost all fields of human activities, including the urban planning. One of the common problems in urban planning is the estimation of transport and walking availability of various socially important facilities. Geoportal of ISDCT sb ras proposes to solve this problem using service compositions, defined in a form of JavaScript programs. During the composition execution, the automatic parallelization of services is performed in order to minimize the overall composition execution time. The scenario planning and execution processes are shown, as well as the ability to adapt to changes in computing environment. © 2018 CEUR-WS. All rights reserved.

关键词： Distributed computer systems

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Supercomputer Engineering for Supporting Decision-making on Energy systems Resilience

Supercomputer Engineering for Supporting Decision-making on ...

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International Conference on Application of Information and Communication Technologies (AICT)

作者： Igor Bychkov Alexander Feoktistov Sergey Gorsky Alexei Edelev Ivan Sidorov Roman Kostromin Evgeniy Fereferov Roman Fedorov Matrosov Institute for System Dynamics and Control Theory of the Siberian Branch of the Russian Academy of Sciences Irkutsk Russia Melentiev Energy Systems Institute of the Siberian Branch of the Russian Academy of Sciences Irkutsk Russia

ISBN: (数字)9781728173863

ISBN: (纸本)9781728173870

We propose a new approach to creating a subject-oriented distributed computing environment. Such an environment is used to support decision-making in solving relevant problems of ensuring energy systems resilience. The proposed approach is based on the idea of advancing and integrating the following important capabilities in supercomputer engineering: continuous integration, delivery, and deployment of the system and applied software, high-performance computing in heterogeneous environments, multi-agent intelligent computation planning and resource allocation, big data processing and geo-information servicing for subject information, including weakly structured data, and decision-making support. This combination of capabilities and their advancing are unique to the subject domain under consideration, which is related to combinatorial studying critical objects of energy systems. Evaluation of decision-making alternatives is carrying out through applying combinatorial modeling and multi-criteria selection rules. The Orlando Tools framework is used as the basis for an integrated software environment. It implements a flexible modular approach to the development of scientific applications (distributed applied software packages).

关键词： Fault tolerance Software packages Computational modeling Decision making Tools Supercomputers Distributed computing

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The method of extracting the contours of objects from satellite images 2

The method of extracting the contours of objects from satell...

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2nd Scientific-Practical Workshop Information Technologies: Algorithms, Models, systems, ITAMS 2019

作者： Yuriy, Avramenko Roman, Fedorov Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences Irkutsk664033 Russia Irkutsk scientific center of Siberian Branch of Russian Academy of Sciences Irkutsk664033 Russia

Earth remote sensing data is used to solve many practical problems, for example, for digitizing satellite images. This problem can be divided into three stages, in this case let it be the classification of objects, the extraction of contours and creation of a vector layer. Neural networks, the support vector method, the K-means method and others can be used to classify objects. Good results on the extraction of edges are given by the Canny edge detector, Harris operator, Hough transform, and other methods. Creation of a vector layer is not trivial problem. In this article, we propose a method for extracting the contours of objects from satellite images. The idea of the proposed method is to combine a neural network and an interpreter of the SOQL language. The neural network allows finding quickly possible positions of the object on textural and spectral features and the SOQL interpreter extract contours of the object by structural description and create vector layer. Copyright © 2019 for this paper by its authors.

关键词： Vectors

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Modelling energy systems of Vietnam with integration of renewable power sources 1

Modelling energy systems of Vietnam with integration of rene...

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1st International Workshop on Information, Computation, and control systems for Distributed Environments, ICCS-DE 2019

作者： Edelev, A.V. Karamov, D.N. Sidorov, I.A. Binh, D.V. Nam, N.H. Anh, N.H. Duy, P.V. Hanh, P.T. Melentiev Energy Systems Institute of Siberian Branch of SB RAS Lermontov St. 130 Irkutsk664033 Russia Matrosov Institute for System Dynamics and Control Theory of SB RAS Lermontov St. 134 Irkutsk664033 Russia Institute of Energy Science of VAST Block A9 Hoang Quoc Viet Street Cau Giay District Hanoi Viet Nam

The paper addresses the research of the large-scale penetration of renewable energy into the power system of Vietnam. The proposed approach presents the optimization of operational decisions in different power generation technologies as a Markov decision process. It uses a stochastic base model that optimizes a deterministic lookahead model. The first model applies the stochastic search to optimize the operation of power sources. The second model captures hourly variations of renewable energy over a year. The approach helps to find the optimal generation configuration under different market conditions. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Renewable energy resources

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A method and tools for prototyping components of intelligent systems based on transformations

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Journal of Physics: Conference Series 2021年第1期1864卷

作者： I. V. Bychkov A. Yu. Yurin Matrosov Institute for System Dynamics and Control Theory Siberian Branch of the Russian Academy of Sciences (ISDCT SB RAS) 134 Lermontov str. Irkutsk 664033 Russia

The paper describes a method and tools for prototyping components of intelligent systems. These means are the parts of the PESoT technology based on generative and visual programming as well as the model transformations. The proposed method redefines the main stages and models of the standardized model-driven approach, in particular, Model Driven Architecture in the context of developing knowledge bases and expert systems that use the logical rules formalism. The description of the method is presented. Proposed tools include languages and software. Specifically, the Rule Visual Modeling Language and Personal Knowledge Base Designer are used for knowledge bases engineering including modeling and codification; the Transformation Model Representation Language and Knowledge Base Development system support model transformations and the rapid creation of computation-independent models. Described tools were applied to solve problems in the field of reliability and safety of technical systems.

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The analysis of current neural network configuration used to predict the critical frequency FoF2 of the ionosphere 3

The analysis of current neural network configuration used to...

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3rd International Workshop on Data Life Cycle in Physics, DLC 2019

作者： Salimov, Boris Hmelnov, Aleksei Berngardt, Oleg Institute of Solar-Terrestrial Physics of Siberian Branch of Russian Academy of Sciences Irkutsk Russia Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences Irkutsk Russia

Ionosphere is the ionized part of the upper atmosphere containing free electrons and ions. The critical frequency (foF2) is one of the most important parameters of the ionospheric electron density, which affects the functionality of radio communication and navigation equipment. This frequency is a very variable parameter, which depends on various geophysical parameters. Therefore, improving the accuracy of predicting the critical frequency foF2 of the ionosphere is of great importance for the proper operation of radio communication and navigation equipment. Various physical and empirical models are used to predict this parameter. The large amount of observational data and development of modern machine learning algorithms make it possible to use new approaches for predicting ionospheric parameters. In the paper we analyzed a neural network created for predicting foF2 measured by irkutsk Digisonde, as a function of various geophysical parameters. We studied the contribution of these parameters to the predicted foF2 frequency. It was shown that the critical frequency of foF2 most strongly depends on 10.7 cm solar radiation and on the local solar time. © 2019 CEUR-WS. All rights reserved.

关键词： Ionosphere

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