QUALITY ASSESSMENT OF ALLOCATION COORDINATES USEFUL RADIATION SOURCE IN CONTROL PROBLEMS
Journal Title: Современные информационные технологии и ИТ-образование - Year 2017, Vol 13, Issue 4
Abstract
It is offered in control problems to carry out assessment quality of the coordinates of useful radiation source allocated by means of video sensors on set of indicators, in particular, using probability of detection of desired signal. Traditionally the assessment of detection probability of useful radiation source is carried out proceeding from the assumption of the normal law distribution of probability density of desired signal and hindrance. The assessment of detection probability of useful radiation source which brightness changes under any law is considered. The estimates received in control process are used for choice of methods of processing of images, and also for their setup.
Authors and Affiliations
Valery Ponyatsky
Keywords
Related Articles
- EP ID EP266389
- DOI 10.25559/SITITO.2017.4.365
- Views 98
- Downloads 0
REFACTORING OF THE OPENVZ DRIVER FOR THE OPENNEBULA CLOUD PLATFORM WITHIN THE JINR CLOUD INFRASTRUCTURE PROJECT
This article explores the possibilities of using OpenVZ virtualization technology in the cloud infrastructure of the Joint Institute for Nuclear Research (JINR), built on the OpenNebula platform. OpenNebula is an open a...
ON SOME PROBLEMS OF EXTERNAL BALLISTICS
The article presents an approach to solving some ballistics problems. The main object is a launcher in general with the possibility of setting the rotation angle, the ascent angle and the initial velocity. A general math...
THE STUDY OF THE PURCHASE PROPENSITY OF THE USER OF THE ONLINE STORE ON THE BASIS OF TECHNICAL DATA ON VISITS OF VISITORS TO THE ONLINE STORE
The paper describes the development of an automatisation service for marketing campaigns on the basis of web usage data mining. The source web usage data were obtained from Yandex.Metrika service. On the basis of explora...
METHODS OF CREATING DIGITAL TWINS BASED ON NEURAL NETWORK MODELING
It is assumed that by 2021, about half of the companies will use digital counterparts of different levels. The simplest digital twin models may not use machine learning, but the models using machine learning algorithms w...
TABULAR ARTIFICIAL NEURAL NETWORK IMPLEMENTATION OF RADIAL BASIS FUNCTIONS FOR THE SAMPLES CLASSIFICATION
The development and study of a new constructive algorithm for constructing models for sample classification using an artificial neural network with radial basis functions in a Microsoft Excel spreadsheet environment with...