Browsing by Author "Zaynidinov, Hakimjon"

Now showing 1 - 18 of 18

Citation Count: 4
Algorithms and Service for Digital Processing of Two-Dimensional Geophysical Fields Using Octave Method
(Springer international Publishing Ag, 2022) Zaynidinov, H. N.; Singh, Dhananjay; Yusupov, I; Makhmudjanov, S. U.; Department of Artificial Intelligence
This paper covers new algorithms for digital signal processing of two-dimensional geophysical fields using octave method, which predicts the mineral value of the field in terms of signal energy value. In addition, it addresses and shows a functional scheme of the platform service based on cloud technologies. The essence of the work is that the geophysical data are two-dimensional, so their volume is very large. This requires the use of fast algorithms for digital processing of large amounts of data. Therefore, if we use the octave method effectively, the required result is obtained by calculating the value of the signal energy and comparing the finite difference of these values with its previous value.
Citation Count: 0
Application of Daubechies Wavelets in Digital Processing of Biomedical Signals and Images
(Springer Science and Business Media Deutschland GmbH, 2024) Zaynidinov, H.; Juraev, U.; Tishlikov, S.; Modullayev, J.; Department of Artificial Intelligence
Wavelet analysis of one-dimensional signals has proven effective in deciphering the electrocardiogram (ECG). Promising results have already been obtained from their analysis. In particular, it has been shown that anomalous effects in the ECG are mainly manifested on much larger scales (low frequencies), while normal structures are characterized by relatively small scales (high frequencies). Denoising is one of the urgent problems of digital processing of biomedical signals and tomographic images. Wavelet methods are relatively new and are a method of denoising using wavelet functions. Wavelets allow for the analysis of various types of signals and effective noise removal, so it is of particular interest to study their potential to improve image quality. It is very convenient to use DWT (Discrete Wavelet Transform) in digital image processing, because it provides deep insight into the main spatial and frequency features. Wavelets provide excellent time-frequency localization, meaning they can capture both transient and stationary features in signals and images. This localization capability is especially valuable in medical applications where signals may contain abrupt changes or irregular patterns. In this paper, we will discuss the method of biomedical signal restoration and denoising in tomographic images using different wavelet functions such as Haar wavelet, Symlet, Meyer wavelet, Daubechies wavelet. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Citation Count: 3
B-Spline Approximation for Polynomial Splines
(Springer international Publishing Ag, 2019) Singh, Dhananjay; Singh, Madhusudan; Hakimjon, Zaynidinov; Department of Artificial Intelligence
[No Abstract Available]
Citation Count: 2
Bi-Cubic Spline Based Temperature Measurement in the Thermal Field for Navigation and Time System
(Tamkang Univ, 2019) Singh, Madhusudan; Zaynidinov, Hakimjon; Zaynutdinova, Mastura; Singh, Dhananjay; Department of Artificial Intelligence
This paper highlights the use of Bi-cubic splines sets for measuring the temperatures at any point (x, y) on printed circuit boards (PCB). This has accomplished by approximating the system of bi-cubic splines of sets of temperatures measured at points on the PCB in a graphical view. The proposed approximation method is using Bi-cubic splines of modeling the temperature field T (x, y) and replace the continuous two variable function by a combination of single variable functions. While developing designs for the navigation and time system (NTS), there is a need for calculating and analyzing the heat generation processes in units in the NTS equipment, which is a factor in choosing design solutions for systems. The boards currently used can conduct full-fledged 3D simulations of heat transfers to PCB which are about 10 percent accurate compared to full-scale tests. It is always difficult to determine the temperatures at specific points on the PCB. Therefore the accurate numbers are only available at the boundaries of temperature zones.
Citation Count: 0
Digital Processing of Blood Image by Applying Two-Dimensional Haar Wavelets
(Springer international Publishing Ag, 2021) Zaynidinov, H. N.; Yusupov, I; Juraev, J. U.; Singh, Dhananjay; Department of Artificial Intelligence
In this work, compression and zero coefficients have been determined by using digital processing of the blood image that is 1 mu l (approximately one drop of blood) in the Haar wavelet. Also using this amount, an algorithm is proposed to define the number of leukocytes in human blood. We know that there are currently two types of methods for determining the number of leukocytes: grease and counting by using a microscope. This is a loss of time, causes a number of errors and inconveniences. By using this algorithm, a program has been developed to calculate the number of leukocytes with high accuracy in a blood image of 1 mu l (about one drop of blood).
Citation Count: 3
Evaluation Methods of Spline
(Springer international Publishing Ag, 2019) Singh, Dhananjay; Singh, Madhusudan; Hakimjon, Zaynidinov; Department of Artificial Intelligence
[No Abstract Available]
Citation Count: 2
Geophysical Application for Splines
(Springer international Publishing Ag, 2019) Singh, Dhananjay; Singh, Madhusudan; Hakimjon, Zaynidinov; Department of Artificial Intelligence
[No Abstract Available]
Citation Count: 3
Iot-Enabled Mobile Device for Electrogastrography Signal Processing
(Springer international Publishing Ag, 2021) Zaynidinov, Hakimjon; Makhmudjanov, Sarvar; Rajabov, Farkhad; Singh, Dhananjay; Department of Artificial Intelligence
Electrogastrography (EGG) is a powerful instrument that represents and provides high time precision for direct heart activities. After processing the chest skin for the contact process by network electrodes, the conventional method of collecting heart signals involves the presence of electrodes directly connected to the patient's chest using gelatin. One of the most critical activities is tracking the clinical signs of cardiac patients. A real-time EGG signal acquisition and processing device is developed to observe patients in various IoT-based environments is discussed in this article. The EGG signals that are detected are passed to special software. For further protection, it is ensured that the transmission of the EGG signal from the patient without distortion to the doctors should take place. The ambulatory and wearable device for the transmission of real-time EGG signals is discussed in this article in order to monitor patients in various environments. For further analysis, the captured EGG signal is transferred to software and signals are transferred to the doctors for real-time evaluation of the patient.
Citation Count: 4
Methods for Determining the Optimal Sampling Step of Signals in the Process of Device and Computer Integration
(Springer international Publishing Ag, 2022) Zaynidinov, Hakimjon; Singh, Dhananjay; Makhmudjanov, Sarvar; Yusupov, Ibrohimbek; Department of Artificial Intelligence
In this paper, digital signal processing methods and its solution for HCI were described. Mostly, problems are connected to taking signals or data from real time devices. Data is often serial, stream or etc. device and computer integration in HCI focuses to digital signal processing. Today, the use of interpolation methods in the digital processing of biomedical signals is important, and at the same time allows the detection and diagnosis of diseases as a result of digital processing of biomedical signals. This paper discusses the construction of a signal model using the spline-wavelet interpolation formula for equal intervals in the digital processing of biomedical signals.
Citation Count: 0
Multidimensional Polynomial Splines
(Springer international Publishing Ag, 2019) Singh, Dhananjay; Singh, Madhusudan; Hakimjon, Zaynidinov; Department of Artificial Intelligence
[No Abstract Available]
Citation Count: 3
One-Dimensional Polynomial Splines for Cubic Splines
(Springer international Publishing Ag, 2019) Singh, Dhananjay; Singh, Madhusudan; Hakimjon, Zaynidinov; Department of Artificial Intelligence
[No Abstract Available]
Citation Count: 3
Parabolic Splines Based One-Dimensional Polynomial
(Springer international Publishing Ag, 2019) Singh, Dhananjay; Singh, Madhusudan; Hakimjon, Zaynidinov; Department of Artificial Intelligence
[No Abstract Available]
Citation Count: 0
Parallel Algorithm for Constructing a Cubic Spline on Multi-Core Processors in a Cluster
(Ieee, 2020) Zaynidinov, Hakimjon; Mallayev, Oybek; Nurmurodov, Javohir; Department of Artificial Intelligence
The article explores the possibility of computing parallel data compression using cubic spline. For example, ways to parallel the process of digital processing of seismic signals have been considered. The main performance indicators of parallel algorithms have been compared with consecutive algorithms. Spline methods are a versatile signal processing tool. It is more accurate than other mathematical methods, information equality is faster, and maintenance costs are much lower. On the other hand, the equipment used in such systems must also meet high performance requirements. To achieve high speeds, parallel algorithms were developed using OpenMP and MPI technologies and implemented in the architecture of multi-core processors. A mathematical method for the parallel calculation of the coefficients of a cubic spline has been developed and a parallel signal processing algorithm has been developed on its basis. As an example, parallelization is a computation during seismic signal processing. The main indicators of efficiency and acceleration of the parallel algorithm were compared with the sequential algorithm. Explained the relevance of the use of parallel numerical systems, described the main approaches to the distribution of processes and methods of data processing, described the principles of parallel programming technology, studied the basic parameters of parallel algorithms for the initial calculation of the numerical value of cubic spline. The parallel algorithm considered for constructing the cubic spline of defect 1 as p - > n leads to the construction of a local cubic spline on each grid interval omega.
Citation Count: 0
Parallel Algorithm for Modeling Temperature Fields Using the Splines Method
(Ieee, 2021) Zaynidinov, Hakimjon; Mallayev, Oybek; Kuchkarov, Muslimjon; Department of Artificial Intelligence
The paper is devoted to the construction of an algorithm for parallelization of temperature field modeling processes based on bicubic spline and the problems that arise in it. It takes a lot of time and memory on a computer to model existing large-scale signals of temperature fields in three-dimensional graphical form. Solving these problems on the basis of the proposed parallel algorithm, the development of parallel algorithms and software tools to qualitatively determine the coordinates of high-temperature hotspots of temperature fields and allow them to be monitored continuously, and to calculate the digital processing of existing large-scale signals of temperature fields. Based on this, the article presents a parallel algorithm for digital processing of signals of temperature fields on the basis of bicubic spline and ways to parallel its computational processes using Open MP technology.
Citation Count: 3
Paralleling of Calculations and Vectorization of Processes in Digital Treatment of Seismic Signals by Cubic Spline
(Iop Publishing Ltd, 2019) Zayniddinov, H. N.; Mallayev, U.; Department of Artificial Intelligence
In this work the possibility of parallelization of calculations when smoothing data using the cubic spline method using examples of seismic signal processing has been researched. The main indicators of efficiency and acceleration of parallel and sequential algorithms were calculated.
Citation Count: 3
Requirements of Matlab/Simulink for Signals
(Springer international Publishing Ag, 2019) Singh, Dhananjay; Singh, Madhusudan; Hakimjon, Zaynidinov; Department of Artificial Intelligence
[No Abstract Available]
Citation Count: 0
Signal Processing Applications Using Multidimensional Polynomial Splines Preface
(Springer international Publishing Ag, 2019) Singh, Dhananjay; Singh, Madhusudan; Hakimjon, Zaynidinov; Department of Artificial Intelligence
[No Abstract Available]
Citation Count: 0
Spline Evaluation for Railways
(Springer international Publishing Ag, 2019) Singh, Dhananjay; Singh, Madhusudan; Hakimjon, Zaynidinov; Department of Artificial Intelligence
[No Abstract Available]