This article is cited in 1 paper

Information technologies controls

Expanding the functionality of an applied geographic information system for modeling search correlation-extreme navigation systems

A. I. Alchinov^a, I. N. Gorokhovsky<sup>b

a</sup> Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
^b Research Center of Topographic and Navigational Support, Central Research Institute No. 27, Moscow, Russia

Abstract: This paper further develops the concept of an applied geographic information system (AGIS) for modeling search correlation-extreme navigation systems (CENSs) intended to control moving objects. The possibility of using parallel, distributed, and cloud computing for modeling CENSs is investigated. In modern conditions, it is necessary to diagnose the operation of CENSs under stress exposure on their shooting systems. The stress exposure parameters are modeled by accessing specialized databases containing the characteristics of terrain objects in different electromagnetic radiation wavelength ranges. As a rule, such characteristics are unavailable in geographic information systems (GISs) and cloud environments. It is demonstrated that CENSs should be diagnosed by modeling the shooting system using cloud GISs. The issues of parallel computing for pattern recognition tasks are considered. The peculiarities of the parallel structure of CENS search algorithms are revealed. When implementing these algorithms in parallel computing systems, proper consideration of the peculiarities allows utilizing their advantages to the highest degree.

Keywords: cloud computing, cloud service, parallel computing, computing systems, pattern recognition, cloud geographic information system, search correlation-extreme navigation system.

UDC: 629.7.051

Received: 24.04.2023
Revised: 05.07.2023
Accepted: 18.07.2023

DOI: 10.25728/pu.2023.5.6

 English version: Control Sciences, 2023:5, 65–74