Applying Wavelet Transforms for Web Server Load Forecasting

Hu, Zhengbing; Tereikovskyi, Ihor; Tereikovska, Liudmyla; Tsiutsiura, Mykola; Radchenko, Kostiantyn O.

doi:10.1007/978-3-030-16621-2_2

Cited by 2 publications

(9 citation statements)

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“…Correction of this shortcoming is associated with the use of filtering methods based on wavelet transforms [19,20]. For example, in [21] a mathematical model of parameterization of the structure of the iris of the eye using wavelet transform based on derivatives of the Gaussian function is considered.…”

Section: Related Workmentioning

confidence: 99%

“…In works [22][23][24][25], which are devoted to the analysis of ways to use wavelet transforms in the field of image coding, a list of requirements is defined, the implementation of which ensures the effectiveness of this process. These requirements are correlated with the possibility of: Analysis of [20,[24][25][26][27] suggests that in most cases as a basic wavelet in image filtering use wavelets HAAR, MHAT, WAVE, FHAT, GABOR, Daubechies wavelet, which are defined by expressions of the form (1-6)…”

Section: Related Workmentioning

confidence: 99%

“…In this case, to select the most effective type of basic wavelet, it is possible to use the approach proposed in [20]:…”

Section: Related Workmentioning

confidence: 99%

“…The results of the analysis suggest that although many works have been devoted to the application of wavelet transforms in the field of image filtering, the application of the obtained results for filtering biometric parameters, which are characterized by geometric indicators, is complicated by the need for complex adaptation to nonstationary dynamic changes. It is possible to correct this shortcoming, by analogy with [20], by developing a procedure for applying wavelet transforms to filter these parameters, which determines the purpose of this study. Thus, the purpose of this study is to develop a procedure for filtering biometric parameters, which through the use of wavelet transform technology will clean the image of the face and the iris of the eye from typical non-stationary interference.…”

Section: Related Workmentioning

confidence: 99%

“…Based on the requirements formed in [20,23,25], which ensure the efficiency of wavelet transforms, the expediency of using dyad discrete wavelet transform is determined, which reduces the computational complexity of the procedure for calculating wavelet coefficients by reducing the number of copies of the basic wavelet. The use of dyad discrete wavelet transform leads to the modification of expressions (13,14,(16)(17)(18)(19):…”

Section: Development Of the Mathematical Apparatusmentioning

confidence: 99%

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Procedure for Processing Biometric Parameters Based on Wavelet Transformations

Hu¹,

Tereikovskyi²,

Chernyshеv³

et al. 2021

IJMECS

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The problem of the article is related to the improvement of means of covert monitoring of the face and emotions of operators of information and control systems on the basis of biometric parameters that correlate with twodimensional monochrome and color images. The difficulty in developing such tools has been shown to be largely due to the cleaning of images associated with biometric parameters from typical non-stationary interference caused by uneven lighting and foreign objects that interfere with video recording. The possibility of overcoming these difficulties by using wavelet transform technology, which is used to filter images by combining several identical, but differently noisy monochrome and color images, is substantiated. It is determined that the development of technology for the use of wavelet transforms is primarily associated with the choice of the type of basic wavelet, the parameters of which must be adapted to the conditions of use in a particular system of covert monitoring of personality and emotions. An approach to choosing the type of basic wavelet that is most effective in filtering images from non-stationary interference is proposed. The approach is based on a number of the proposed provisions and efficiency criteria that allow to ensure when choosing the type of basic wavelet taking into account the significant requirements of the task. A filtering procedure has been developed, which, due to the application of the specified video image filtering technology and the proposed approach to the choice of the basic wavelet type, allows to effectively clean the images associated with biometric parameters from typical non-stationary interference. The conducted experimental studies have shown the feasibility of using the developed procedure for filtering images of the face and iris of operators of information and control systems.

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Section: Related Workmentioning

confidence: 99%