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Title: Identification information sensors of robot systems
Authors: Parkhomey, Igor
Boiko, Juliy
Eromenko, Oleksander
Keywords: autocorrelation function;coefficient of similarity;description of images;image border;invariance
Issue Date: Jun-2019
Publisher: Institute of Advanced Engineering and Science
Citation: Parkhomey I. Identification information sensors of robot systems / I. Parkhomey, J. Boiko, O. Eromenko // Indonesian Journal of Electrical Engineering and Computer Science. - 2019. - Vol.14, nr. 3. - P. 1235-1243.
Abstract: At the present time, the complexity of identification is to find such a description, in which the image (information) of each class would have identified similar properties. The task is to make the transformed description includes the whole set of input images, united by the similarity class by the given ratio. Using the ordinates of an autocorrelation function is an inseparable shift in the center of gravity of an image, which leads to a change of such description. Nicest, the concept of an invariant description of information arises, this is an autocorrelation function, which is invariant to the description of any displacements of the image in the vertical and horizontal directions. The problem of finding an optimal decision rule arises, which, in a number of cases, can be constructed on the basis of a method, based on the definition of the maximum incomplete coefficient of similarity. Using this method, the solutions, that are almost unintelligible to the errors that arise due to the effects of interference, are found. Therefore, in increments k, this rule passes into the Bayes’ rule.
Description: In this paper, the process of identification is considered in the case of incomplete input information. The complexity of this process is to find such a description in which the image (information) of each class would have defined similar properties. The problem of finding the optimal decisive rule arises, which in some cases can be constructed on the basis of a method based on the definition of the maximum incomplete coefficient of similarity. To eliminate the influence of interference on the recognition process, special decision rules are introduced. One of them is based on the fact that the decision on the belonging of the image to the image is made on the basis of the analysis of the images that fall into a certain close space, is classified. In this case, the decision takes into account the majority, which agrees well with the results obtained by calculating the similarity coefficient. This allows you to find solutions that are almost not sensitive to errors that occur due to interference.
ISSN: 2502-4752
metadata.dc.type: Стаття
Appears in Collections:Кафедра телекомунікацій та радіотехніки

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