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53.990  Articles
1 of 5.399 pages  |  10  records  |  more records»
Introduction: By means of the mathematical or computer (imitating) modeling the emergency, especially stochastic, transient electromagnetic and / or electro energetic processes in the electric traction system of the alternating current should be investiga... see more

A new method for parameters identification of devices of the electric traction systems is offered. The numerical calculations of time and current dependences of equivalent parameters of two-terminal networks, which equivalent circuit looks as parallel con... see more

Traps are used commonly to establish the presence and population density of pest insects. Deriving estimates of population density from trap data typically requires knowledge of the properties of the trap (e.g. active area, strength of attraction) as well... see more

This paper deals with the parameter identification of a microbial batch process of glycerol to 1,3-propanediol (1,3-PD). We first present a parameter identification model for the excess kinetics of a microbial batch process of glycerol to 1,3-PD. This mod... see more

The paper deals with methods and algorithms for increasing the accuracy of unmanned aerial vehicle identification. Accumulation of data on radiation parameters during the session of observation of an object allows to make continuous specification of the m... see more

Radar identification is one of the vital operations in an electronic intelligence system. The conventional methods based on basic parameters comparison of unique identification of a radar in a cluster of similar radars, is prone to ambiguities. To meet th... see more

Most of the digital communication system uses forward error correction (FEC) in addition with interleaver to achieve reliable communication over a noisy channel. To get useful information from intercepted data, in non-cooperative context, it is necessary ... see more

Mathematical models of electric drive with a series-wound motor in the form of polynomial recurrent neural networks (PRNN) have been synthesized using its operational data. The methods of identification of drive parameters and drag torque dependence on mo... see more

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