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    Development of an information system for searching for operational earthquake precursors based on identification measurements

    Priority area: Information, telecommunication and space technologies, scientific research in the field of natural sciences

    6566

    Project manager: Koshekov K.T., Doctor of Technical Sciences

    Project executors: Kurmashev I.G., Candidate of Technical Sciences, Klikushin Yu.N., Doctor of Technical Sciences,

    Uzbekov N.B., Candidate of Physical and Mathematical Sciences, Koshekova B.V., Master.

    Terms of execution: 2018-2020

    Amount of financing: 62,400,000 tenge.

    Purpose of the project: Development of an integrated information system for searching for operational precursors of earthquake prediction, including software based on intelligent algorithms for collecting, digital processing and recognition of seismograms and searching for operational earthquake precursors (OPO) using the theory of identification measurements (IM), modern computer and wireless infocommunication technologies in real time, algorithms and methods of machine learning and BigData.

    Expected results: Methods and tools for searching for operational earthquake precursors based on identification measurements of seismograms. The application of identification measurements is ideal for solving problems of searching for and establishing operational precursors of not only earthquakes, but also other disasters. The use of intelligent technologies will automatically provide users with recommendations in the form of numerical ratings and linguistic descriptions in terms accepted by experts.

    Description of the project: The main idea of ​​the project is to create new effective intelligent tools for intelligent search of operational earthquake precursors based on the analysis of seismograms and identification measurements, modern machine learning methods and BigData.

    Project objectives:
    −Application of proven methods and technologies for the development of information retrieval systems based on highly efficient systems for collecting and intelligent data processing, modern computer and wireless infocommunication technologies in real time, algorithms and methods of machine learning and BigData;
    −Application of analytical methods, methods of simulation and computer modeling, development of software and hardware;
    −Use of computer technologies from the world's leading manufacturers of infocommunication technologies.