1-Article

Mathematical Modeling and Computational Experiment of the Process the Atmospheric Transport of Salt-Dust Aerosols from the Aral Sea Basin

Daler Sharipov, Dilshot Akhmedov

Atmospheric transport of salt-dust aerosols is a sophisticated effect mainly depending on the meteorological situation. Since the dried bottom of the Aral Sea is considered as emissions source, precisely the wind removal of aerosol particles is implied here. It should be noted that the wind erosion of the ground cover can be considered as a special case of the hydrodynamics of multiphase flows, which is of particular scientific interest. In this regard, vertical wind profile, which depends on the roughness of the ground cover and the stability of the atmosphere, become to one of essential aspects for outdoor airflow simulations. Thus, the aim of this work is to study the influence of the vertical wind profile on the atmospheric transport of salt-dust aerosols. The results of computational experiments on the airflow characteristics at various heights, values of the ground-level wind speed and the roughness coefficient are presented in the paper. As well as the results of numerical calculations demonstrating the influence of the horizontal and vertical components of the wind speed on the distribution of suspended aerosol particles within the considered area.

2-Article

Text to Audio Converter for Learning Uzbek

Artikova M, Talipova O

This article gave an example of creating a program for translating text into audio. In the conditions of the modern language situation, the national school faces an important task - the formation of the ability to solve various communicative tasks in certain areas and situations of communication by means of language. The ultimate goal of teaching languages at school is the practical mastery of them. Achieving this goal is directly dependent on the use of effective methods, techniques and teaching aids. Now in the public domain there are many speech synthesizers that allow you to convert text into voice. They are developed by a variety of companies and independent users, constantly improving reading algorithms, making the tool even more accurate during its work. For successful playback and additional settings, you will need special software, the functionality of which allows you to implement the task. The program in this article is very similar to one of the google translator functionality. Unfortunately, due to the limited base of google languages, the translator cannot translate some words of the Uzbek language into audio. This article describes the technology and process for creating this software. The software was created in the form of a web application.

3-Article

Mathematical modeling of nonlinear processes of electromagnetic elastic thin plates of complex configuration

Shohruh Safarov, Sukhrob Hojiyev

The article a mathematical model based on the Hamilton-Ostrogradsky variational principle is presented, using the Kirchhoff-Law hypothesis, the mathematical model in three-dimensional form is transformed into a two-dimensional model. To solve the problem, a computational algorithm was developed, for which practical software tools was created, computational experiments were conducted, and the results obtained were analyzed.

4-Article

Study of the Dependence Electrical Resistance of Bioactive Points in the Meridians on the Amount of Glucose in the Blood

Alijon Guliev

This article proposes the use of a non-invasive method based on measuring the electrical resistance of bioactive points located in the meridians of the human body in diagnosing diabetes. Using analysis of variance, it was found that the existing meridians in the human body are not equally important for diagnosing diabetes, shows that each meridian is actually related to some internal organs in the body. An analysis of variance was carried out, and the influence of one or more factors affecting a random variable in complex situations was assessed by carefully studying various sources that cause differences in the values of a random variable over the same time interval. Practical use has been made, and as a result, it has been found out that there are many cases when only one factor affects the final result, and this factor takes a finite number of values. Numerous computational experiments were carried out on the basis of software products, various situations were tested, and the results were analyzed using a single-factor analysis of variance. It is noted that if a person has a disease before his symptoms are detected, all pathological signs first reach the meridians along the nerve fibers, and then reach the points already existing in these meridians. As a result, the disease leads to a meridional imbalance, and there are sharp changes in the sum of biophysical indicators at points located in the meridians.

5-Article

Monitoring of the hydrogeological characteristics of aquifers by automated measuring systems

Djumanov Jamoljon, Khushvaktov Saydulla, Kuchkorov Temurbek, Anorboyev Erkin

In this paper presented, the general structure of the proposed control system device, the capabilities and differences of the proposed device are expressed with graphical and tabular data. The studies consider the measurement of groundwater level or depth to water, which is critical for identifying long-term trends, as well as changes in levels, including the decline in groundwater levels. Automated measurements for aquifer management were tested, and the need for a regime and timely and accurate data for assessing the state of groundwater in order to manage and prevent adverse situations was identified. It is noted that the main source of information on the hydrological loads acting on aquifers and their impact on the recharge, storage, and discharge of groundwater are measurements of the level, temperature, and salinity of groundwater. The studies mainly discussed research work on the use of automated devices with several benefits and considered their further improvement. The device was tested, both synchronously with other devices, and operate autonomously and do not require frequent visits of the observer to the well, certain economic advantages were also evaluated and it is planned to use the device in dangerous and hard-to-reach places. Has presents ways of creating remotely monitoring of elements of the hydro regime characteristics of aquifers in observation wells based on proposed device of hardware and software systems.

6-Article

OBSERVING DYNAMIC CHANGES OF FIBROIDS THROUGH GEOMETRIC MODELING OF MEDICAL IMAGES

Zulfiya Aripova

In this paper was described dynamic evaluation of fibroids using geometric modelling as segmentation. Segmentation methods became popular in image processing and analysis. Fibroid segmentation from Ultrasound Image is a complex problem in the field of medical imaging. Fibroids are Non Cancerous tumors, which grow in Female body. Sinologists use the technique called Ultrasonography, to solve diagnostic problems such as identifying the abnormal tissues or fibroids. Segmentation methods became popular in image processing and analysis. Fibroid segmentation from Ultrasound Image is a complex problem in the field of medical imaging. Fibroids are Non Cancerous tumors, which grow in Female body. Sinologists use the technique called Ultrasonography, to solve diagnostic problems such as identifying the abnormal tissues or fibroids. They routinely use ultrasound information to develop an image. But images contain noise with maculation that leads to poor image quality. Also the article developed uterine fibroids (leiomyomas or myomas), benign monoclonal tumors, are the most common benign tumors in women. Heavy or prolonged menstrual bleeding, abnormal uterine bleeding, resultant anemia, pelvic pain, infertility, and/or recurrent pregnancy loss are generally associated with uterine fibroids. Although curative treatment of this tumor relies on surgical therapies, medical treatments are considered the first-line treatment to preserve fertility and avoid or delay surgery. The aim of this review is to provide available and emerging medical treatment options for symptomatic uterine fibroids.

7-Article

TODAY TECHNOLOGIES OF CREATION OF GRAPHIC PRODUCTS

Raimkulov Ural, Juraboev Fozil

This article provides information about the graphics-based programs needed to create modern graphics products. Information is provided about the capabilities of the currently developed versions of 3D technologies and their disadvantages and advantages over other graphic programs. The extraction of meaningful information from images, mainly from digital images by means of digital image processing techniques. Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person based on faces. There are many different techniques used in automatically analyzing images. Each technique may be useful for a small range of tasks; however, there are still no known methods of image analysis that are generic enough for wide ranges of tasks, compared with the abilities of a human's image-analyzing capabilities. Examples of image analysis techniques in different fields include: 3D object recognition, image segmentation, motion detection, video tracking, optical flow, medical scan analysis, 3D pose estimation, automatic number plate recognition, and so on.Keywords- 3ds Max, 3D Studio, Windows NT, MS-DOS, sketchup, blender, Revit, Maya, 4D Cinema.

8-Article

THE ROLE OF THE ARDUINO PLATFORM IN MODERN DEVICES

Raimkulov Ural, Sayfiyev Eldor, Juraboev Fozil

This article looks at the capabilities of the most common arduino device today, where to use it, and what your platform is capable of. It is explained what knowledge and skills the user should have before using the platform. Arduino platform and the process of working with the arduino microcontroller, as well as ideas on how to create projects using arduino. Arduino is an open-source platform used for building electronics projects. Arduino consists of both a physical programmable circuit board (often referred to as a microcontroller) and a piece of software, or IDE (Integrated Development Environment) that runs on your computer, used to write and upload computer code to the physical board. The Arduino platform has become quite popular with people just starting out with electronics, and for good reason. Unlike most previous programmable circuit boards, the Arduino does not need a separate piece of hardware (called a programmer) in order to load new code onto the board -- you can simply use a USB cable. Additionally, the Arduino IDE uses a simplified version of C++, making it easier to learn to program.

9-Article

MODELS AND ALGORITHMS FOR REMOTE MONITORING OF THE CONDITION OF OVERHEAD POWER LINES

D.A.Davronbekov, A.F.Khayrullaev

Electricity theft is the biggest problem today, which causes huge losses to electrical panels. In addition, to hide these losses, the price will eventually increase. If we can prevent these thefts, we will be able to save a lot of energy. By tracking the electricity used, you will find out where the best opportunity to save energy is. More than one-third of the electricity generated is lost due to electricity theft, power loss and inefficiency of the distribution system. Prohibited or illegal use of electricity not only has an economic impact, but also hinders the design and modeling stages of the power system. This paper proposes a real-time remote transmission line condition monitoring system to ensure the prospects of safe operation of overhead power lines. The proposed system is designed for low-voltage transmission lines (0.4 - 6 kV) and provides information about the condition of the line between the distribution transformer and the consumer meter. Many households indulge in different forms of electricity theft and illegal tampering of electric metering devices. These lead to distribution system faults and overload as well as loss of revenue by the distribution companies. In particular, the application of sensor network in the remote monitoring system, the use of the modern Arduino Mega microcontroller offers the possibility of more accurate and reliable monitoring of the characteristics of overhead power lines.

10-Article

The importance of ICT services in the improvement of regional infrastructure

Ismailova G.F., Sattorov I.A., Sabirov M.M

In this article, the digitization of the economy and the development of infrastructure, the level of provision of information services in the regions are presented. It is mentioned that for the creation of a national system of information, mass introduction of modern information technologies, computer equipment and telecommunication tools in all spheres of economy and social life, as well as their use, more complete satisfaction of the growing information needs of citizens, access to the world information society, and enjoyment of world information resources, there are favorable conditions for the expansion. Also, the introduction of ICT services and its level of use, computer literacy of the population were also studied. Regions were studied based on statistical data along with the development of all measures for the improvement of the digital economy and the introduction of digital technologies in Uzbekistan. In the article, it is mentioned that experts of the Institute of Forecasting and Macroeconomic Research compiled a ranking of regions based on the ICT development index in accordance with the ITU methodology in order to assess the state of development of ICT in the regions of Uzbekistan, and the ICT development index was chosen as the basis for calculation.

11-Article

Analysis of Methods of Attack Detection and Prevention Systems

Komil Tashev

Given the exponential growth of Internet and increased availability of bandwidth, Intrusion Detection has become the critical component of Information Security and the importance of secure networks has tremendously increased. Though the concept of Intrusion Detection was introduced by James Anderson J. P. in the year 1980, it has gained lots of importance in the recent years because of the recent attacks on the IT infrastructure. The main objective of this study is to examine the existing literature on various approaches for Intrusion Detection in particular Anomaly Detection, to examine their conceptual foundations, to taxonomize the Intrusion Detection System (IDS) and to develop a morphological framework for IDS for easy understanding. In this study a detailed survey of IDS from the initial days, the development of IDS, architectures, components are presented.

12-Article

The main characteristics of optical fiber amplifiers for optical transmission systems

Siddikov Isomiddin Khakimovich, Fayzullayeva Barno Bakxadirovna

The article is dedicated to an overview of the various options for optical fiber amplifiers, the principles of their operation, advantages and disadvantages. The article presents drawings of various characteristics of amplifiers and a diagram of a structure with a combined DFB - laser and optical amplifier, and a functional diagram of a FOA - a fiber optic amplifier. When transmitting optical signals over fiber communication lines over long distances, due to scattering and absorption, which attenuate the information signal, it is necessary to use repeater amplifiers in series. We know that there are two types of repeaters – optic-electronic, based on the conversion of “light - electronic signal - light", and fully optical, which have recently become widespread. The main limiting factors in fiber optic transmission systems are attenuation, dispersion, and non-linear optical effects. This chapter deals with devices - optical amplifiers, which compensate for optical power losses that occur in optical fibers, connectors, passive splitters, etc.

13-Article

Algorithm and program for solving the gas filtration problem in dynamically interconnected porous media

Elmira Nazirova, Аbdugani Nematov, Mohiniso Mahmudova, Khurshida Karabaeva

The article examines the actual problem of developing gas fields in order to increase gas extraction from productive layers and to determine the main indicators of the research object. This article presents an analysis of scientific works related to the problem of mathematical modeling of gas filtration processes in multilayer porous media. For a comprehensive study of the considered process, a mathematical model of the process of gas filtration in a non-homogeneous three-layer porous medium with weakly conductive interlayers and the process of their dynamic interaction was developed based on the basic laws of hydromechanics. Of course, in the numerical modeling of such a complex process, the finite difference method was used, and due to the fact that the equation is nonlinear with respect to the pressure function, the quasi-linear method and iterative methods were used to solve it. The article is devoted to the algorithm and program for solving the boundary value problem for calculating the main indicators of gas deposits in a three-layer porous medium, it presents the mathematical model of the boundary value problem of gas filtration in a dynamically interconnected porous medium, the block diagram of the solution algorithm and the program, the interface of the program was developed in the Delphi programming language. MatLab programming environment was used to visualize the results and present the graphs in 2D and 3D form. On the basis of the mathematical tool proposed in the work, computational experiments were carried out on different values of layer permeability coefficients in porous media with a weakly conductive layer, and the results were presented in the form of graphic objects and an analysis of their calculations was presented.

14-Article

PECULIARITIES OF GEO-ECONOMIC FORMATION OF E-COMMERCE INFRASTRUCTURE

Bakhtiyar Makhkamov, Gulnora Ismoilova

This article examines the geo-economic formation of e-commerce infrastructure, directions for improving the market infrastructure of urban structures, and the impact of this process on the socio-economic development of regions. Because many factors influence the development of e-commerce. One of the main factors is the location of these countries. As you know, we are well aware that there are geoeconomic and geopolitical concepts. E-commerce also relies on the same geo-economic and geo-political processes in its development stages. The good conditions created in the country, the good organization of the institutional system, have an impact on the development from the geopolitical side, the good organization of the infrastructure, the training of the personnel, have an impact on the geo-economic processes. The article also analyzes other factors affecting the development of e-commerce in developed countries. By studying foreign experiences, the development of e-commerce in the neighboring countries of Kazakhstan and Kyrgyzstan, the population's access to the Internet, and computer literacy were also studied. The article also analyzes the share of retail trade, which is one of the main factors of e-commerce, which is expanding year by year in countries. It is known that the development of retail trade has a direct impact on the development of e-commerce. Also, the development of electronic commerce is observed in geo-economically developing countries. Formation and development of e-commerce infrastructure is an important condition for sustainable socio-economic development of cities. The article examines the directions of improving the market infrastructure of city structures and the impact of this process on the socio-economic development of regions; it is necessary to take into account the development of the market environment in strategic city management.

15-Article

Algorithm for Time Synchronization of Data of a Climate Monitoring System Based on Multichannel Sensors for Artillery

Rakhimov B.N., Babajanova A.T., Berdiyev A.A.

Since the parameters of the atmosphere are dynamic, real-time monitoring of meteorological parameters is a difficult task. The measurement time t of the sensors used to measure atmospheric parameters is different, and the measurement period of the sensors used for the system does not end at the same time. This problem reduces the accuracy of data in systems that perform special tasks. In this article, in order to improve the accuracy, a method and algorithms for obtaining θ data at the end of the sensor measurement time for one period and processing the sensor data were developed. The problem of integrating measured data is investigated and a method of temporal data integration is proposed. For synchronous operation of meteorological data, time cycles for measuring meteorological parameters are provided.

16-Article

SURVEY ON METHODS AND MODELS FOR REDUCING FALSE ALARM RATE OF IDS

Gulomov Sh. R., Bozorov S. M.

This paper presents the importance of intrusion detection systems to detect network attacks, limitations of existing systems and problems with high false alarm rates and reducing it. As summary of analyzed related works defects of researchers has been expressed. At the main part the base requirements to build intrusion detection systems with low false alarm rate are also shown, analyzed and invited most significant ones. Presented models with continuous and differential patterns for decrease false positives. Therefore, some intrusion detection systems methods and models like multilayer perceptron, backpropagation, fuzzy logic have been analyzed step by step to reduce the false alarm rate and improve detection accuracy. Also described effects of choosing right datasets, importance of features in dataset and their selection to train the model, clustering and classification algorithms to false alarm rate of intrusion detection. In the conclusion achieved that using hybrid architectures for build intrusion detection systems may occur detection accuracy and resource consumption.

17-Article

Digital Processing of Visual-Sensory Information Using Multichannel EEG

Kamola Abdurashidova

A relatively new but growing field of EEG application is braincomputer interfaces (BCIs). BCI is a technology that provides communication between the brain and the computer. BCI is a computer system that receives brain signals, analyzes them, and converts them into commands that are sent to an output device to perform the desired action. The main goal of BCI research is to create a new communication path that allows you to directly transmit messages from the brain by analyzing the mental activity of the brain in people with severe neuromuscular diseases, as well as controlling various household electrical appliances using remote control. To measure the EEG signal, a headgear with electrodes (EEG cap) is put on the user's head. To control a machine (computer), the user imagines a specific task, such as moving limbs or forming words. These mental tasks act on patterns of EEG signals and determine characteristic states using special recognition algorithms based on fast Fourier transform (FFT) and neural networks. The resulting templates are broken down into classes and executed as required commands. For example, to control a computer application (such as cursor movement) or a machine (such as a wheelchair), it detects and classifies these patterns into different tasks. This article is devoted to the development of a software tool that analyzes and classifies electrical multichannel EEG signals of the brain in the process of processing visual sensory information based on the above methods and tools.

18-Article

RESEARCH OF THE DIGITALIZATION PROCESS OF ERYTHROCYTES IMAGES FOR MEDICAL ANALYSIS

Kim E.V., Muchtapova G,X., Kuznetsova V. B.

The article presents the results of a study of the digitalization of informative features of erythrocyte images during their adhesion for the purposes of medical microscopic analysis. The contour spectrum of erythrocyte images was chosen as an informative feature. In this paper, we propose an approach to the analysis of the shape of erythrocyte images and, in particular, to solving the problem of analysis when they stick together. The aim of the work is to study the informative features of images of erythrocytes during their adhesion and to develop a methodology for analyzing these images during their adhesion for the purposes of medical microscopic analysis.Thus, the problem of creating automated and relatively inexpensive information complexes for the analysis of blood cells remains relevant.Thus, in the course of the work, the informative signs of images of adherent erythrocytes were studied. The contour spectrum of erythrocyte images was chosen as an informative feature. The features of the spectra during erythrocyte agglutination were obtained. An analysis of the contour spectra of images of adherent erythrocytes makes it possible to answer the question about the number of adherent cells and their area of mutual overlap. These features make it possible to identify a certain dependence, which in turn indicates the possibility of developing an automated system for analyzing blood cells.

19-Article

Mathematical modelling of nonlinear processes of magneto-elastic thin plates of complex configuration and computational experiments

Shohruh Safarov, Zarif Qodirov

In this article, a mathematical model based on the Hamilton-Ostrogradsky variational principle is presented. Using the Kirkhgoff-Lyav hypothesis, transform the mathematical model in 3D form into his 2D model. The tensor view is used to determine variational representations of potential and kinetic energy, as well as changes in work done by external forces, Cauchy relations, Hooke's law, Lorentz forces, and Maxwell's electromagnetic forces. In this case, the influence of the electromagnetic field on the deformation stress state of the magnetoelastic plate is taken into account. The result was a mathematical model in the form of a system of higher-order differential equations with special derivatives with initial and boundary conditions on the displacements. To solve this problem, we developed computational algorithms, created practical software tools, performed computational experiments, and analyzed the results obtained.

20-Article

An Overview of Image Processing Methods

Khabibullo Nosirov, Elnur Norov, Shakhzod Tashmetov

Various approaches and algorithms are used in the complex process of image processing. In fact, image processing is one of the technological advancements with the most applications that is quickly spreading across many industries. Within the fields of electronics and computer science, image processing is typically a major research field. Image processing is a technique for enhancing unprocessed photos taken by aircraft, rockets, ships, spacecraft, or military identification flights in the course of our daily lives. This sector is strong and widespread because of technologically advanced personal computers, huge databases of modern hardware, Graphic Technology, and the resources that are readily available for such software and apps. According to the methods employed in the image processing process, the input provided is an image, and the output is an improved high-quality image. Although analog photographs can sometimes be processed optically, image processing is more commonly referred to as digital image processing. This article provides a summary of image processing techniques. This article primarily focuses on identifying specific techniques used during various image processing stages.

21-Article

ALGORITHM FOR BUILDING AND TRAINING A NEURAL NETWORK TO SOLVE THE PROBLEM OF SPEECH RECOGNITION

Kamolov Nodirjon Ma’murjon o’g’li

This article considers the problem of speech recognition using the example of word recognition learned through the reverse error distribution method. The article presents the practical results of training a constructed neural network with training samples of different sizes. One of the promising areas to solve speech recognition problems is the use of artificial neural networks. Neural networks are widely used to solve various classes of speech recognition problems, taking into account their ability to generalize. A method to solve the speech recognition problem is considered using the example of recognizing individual words of a limited dictionary using a direct propagation neural network trained by the error back propagation method. The practical results of training the constructed neural network at different sizes of the training sample are presented.

22-Article

HARDWARE IMPLEMENTATION PROPOSAL FOR SMART OFFICE REALIZATION.

Lee Seungjik, H.N. Zaynidinov, I. Yusupov, X.X. Mamirov

Abstract. IoT (Internet of Things) technology, the core technology of the 4th industrial revolution, is currently being applied in various ways. Among them, the most basic application is the smart office. It measures the temperature, humidity, and amount of light in the office, analyzes the measured data, and issues a warning when the temperature exceeds a certain level. In the cold winter, the heater is turned on before going to work, and in the hot summer, the air-condition is turned on to create a pleasant environment. This study implemented a device that specified the temperature of the office, transferred the data to the server, and displayed it on the server screen. In case of an emergency, it is possible to take an early warning in the field as soon as data is transmitted to the server. The system is transmitted from the local computer to the server using serial communication, and the local computer program is written in C language. The server analyzed and displayed the data using the Python language. As a result, a basic smart office construction was implemented.

23-Article

DETECTION OF TRANSIT DATA (TIME-OF-FLIGHT -TOF) FOR ULTRASONIC FLOW METER MEASUREMENT.

H.N. Zaynidinov, A.M. Rasulov, M.A. Kuchkarov, X.X. Mamirov, T.B. Boltaniyozov

In the present paper, an algorithm to compute an accurate TOF is proposed. The form of the electric signal received by the transducer is obtained from an acoustically-forced underdamped oscillator model, and the analytical solution of the model is proposed as a reference wave. In order to validate the effectiveness of this procedure, an ultrasonic flowmeter system is designed and tested in a flowmeter calibration test rig. It is demonstrated that the use of the presented scheme overcome the average method limitations, and turns out to be a convenient solution in a wide range of conditions. Robust measurements of near-zero flow values are acquired, which allow the achievement of a high dynamic range. The error curve of the proposed system have been obtained, revealing that the absolute value of the relative errors are lower than 2% within all the spectrum of flow rates considered (from 0.2 to 150 m3/h). Results demonstrate that the algorithm provides high-precision measurements within a wide dynamic range. The algorithm is portable and versatile: it can be adapted to different types of transducers without the need of additional measurements, allowing to adjust parameters on-the-fly for an optimal performance of the ultrasonic flowmeter system.

24-Article

OVERVIEW OF SUPER-RESOLUTION IN IMAGE PROCESSING AND THEIR APPLICATIONS

A.Yusupov, Kh.Kh.Nosirov, M.M.Arabboev, Sh.A.Begmatov, M.A.Rikhsivoev, S.M.Saydiakbarov, Z.Kh.Khamidjonov, S.A.Vakhkhobov

In recent years, the interest in image super-resolution is increased sharply developing the field of research in Image processing. Image super-resolution is a technology that increases the resolution of an image, typically by upscaling it to a higher resolution than the original. This can be achieved using machine learning algorithms such as convolutional neural networks (CNNs) that have been trained on large datasets of high-resolution images. The goal of image super-resolution is to enhance the quality of low-resolution images, making them more precise and detailed. In this paper, image super-resolution concepts, types, and applications were described, also was given brief information about super-resolution frameworks by authors. Super-resolution frameworks are computational approaches or algorithms designed to enhance the resolution and quality of images or videos. These frameworks leverage various techniques, including traditional image processing methods and advanced deep learning techniques, to generate high-resolution versions of low-resolution inputs. They aim to reconstruct fine details, improve image clarity, and enhance overall visual quality. Super-resolution frameworks can be based on convolutional neural networks (CNNs). These frameworks play a crucial role in various applications such as digital photography, imaging, and video processing, where higher resolution and better image quality are desired.

25-Article

Fuzzy situational control of technological safety of petrochemical installations and complexes

Akmal Ganiev

The article deals with the issues of fuzzy modeling and situational analysis of the technological safety of petrochemical complexes and decision-making on their control under conditions of uncertainty and fuzzy initial information based on fuzzy set theory and fuzzy logic. A formal model for describing fuzzy situations is proposed in the form of a fuzzy set and a rational decision in various emergencies based on the criterion of the degree of fuzzy inclusion and the degree of fuzzy equality is made using the method of situational logic inference. One of the main directions of the organization of industrial production is to ensure the safety of technological processes (TP), which is largely determined by compliance with safety requirements, timely determination of the states and diagnostics of technological equipment and units, and the effectiveness of their control in various situations that arise in the technological cycle.

26-Article

STUDY OF THE FEATURES OF FIBER-OPTIC AMPLIFIERS USED ON EXTENDED COMMUNICATION LINES

D.A. Davronbekov, N.I.Juraeva

Optical amplifiers used in extended fiber-optic communication lines are considered. Optical amplifiers are used on extended fiber-optic communication lines to compensate for the losses created by the fiber transmission medium. These devices provide internal amplification of the optical signal without converting it to electrical form. In this paper, the main properties of doped-fiber amplifiers and Romanov amplifiers, as well as hybrid amplifiers, are considered. Dopant-fiber amplifiers are the most widely used and are a key element in all-optical network technology, as they allow signal amplification over a wide spectral range. Higher signal quality requirements do not allow the use of high-performance modulation formats in communication lines with traditional erbium amplifiers. In addition, in existing communication lines, over time, due to natural causes or due to repair work, losses may increase and operability will be disrupted. The use of hybrid amplifiers in long-range communication systems with dense spectral multiplexing leads to a decrease in the noise level in the receiver, an increase in signal quality and an increase in throughput. Currently, a hybrid amplifier, as well as a broadband Raman amplifier, is used in fiber-optic communication lines. The presence of two types of amplifiers allows you to create more economical solutions.

27-Article

A CONVOLUTIONAL NEURAL NETWORK MODEL BASED ON WAVELETS FOR CANCER TYPE CLASSIFICATION IN LUNG TOMOGRAPHIC IMAGES

Zaynidinov H.N., Jureayev U.S.

The paper proposes a wavelet convolutional neural network (WCNN) architecture for cancer diagnosis and classification from lung tomographic images. The results show the effectiveness of the WCNN model in classifying lung images, which can improve the accuracy of lung cancer diagnosis and treatment. The proposed model consists of four main steps, namely, preprocessing, feature extraction, classification, and visualization. A Daubechies wavelet transform was used to perform the discrete wavelet transform. In the proposed model, 3rd order Daubechies wavelet decomposition is applied to the images. The results show that the proposed method gives good results with 99.9% accuracy.

28-Article

An Overview of Video Stabilization Algorithms

Khabibullo Nosirov, Shakhzod Tashmetov, Elnur Norov

Handheld cameras have been widely used for video recording purposes. Such videos are frequently employed for different applications, ranging from personal to professional use. For individuals afflicted with high-frequency tremor, it is imperative to establish stabilization. The present medium of visual communication that records moving images and sound, commonly known as video, has become a ubiquitous form of media consumption in today's society. Its prevalence extends beyond traditional forms of entertainment, such as movies and television shows, and has been increasingly utilized in various fields including education, business, and social media. The utilization of video as a means of delivering information has demonstrated a significant impact on the way individuals perceive and comprehend various subjects, thereby becoming an essential tool in the education and training of learners. Therefore, it is crucial to understand the importance of video as a medium of communication and its impact on individuals in different contexts. The main focus of this paper also to analyze current Video Stabilization algorithms to provide wide point of view on this field.

29-Article

METHODS OF USING NATURAL LANGUAGE PROCESSING FOR DIGITAL PROFILE

A.A.Kakhorov, D.M.Yodgorova, T.A.Khujakulov, Z.S.Bozorova

Machine learning (ML) algorithms have their redundant undiscovered weaknesses. This article examines the security of machine learning algorithms, vulnerability analysis features of these systems, as well as protection systems against attacks by internal and external intruders, on the example of a special system for creating a student's digital portfolio. The article describes natural language processing algorithms as the main algorithms under consideration, which need to be protected against the actions of an attacker, and highlights their complications. It is concluded that the methods of system security analysis using machine learning algorithms will be changed again, and therefore, further research in this area is needed to develop a unified analysis methodology.

30-Article

The Implementation of Machine Learning and Deep Learning Algorithms for Crop Yield Prediction in Agriculture

Nodir Rahimov, Dilmurod Khasanov

. In most Asian countries, since economy of the country rely on agriculture, in such countries, the agricultural system is one of the most important sectors. Crop yield prediction is a crucial task in agriculture that can help farmers make informed decisions and optimize their crop production. Accurate predictions can help farmers better plan their resources and reduce waste, ultimately leading to higher profits and a more sustainable agricultural industry. This article presents a comprehensive study on the utilization of machine learning and deep learning techniques to predict the crop yield in agriculture, implemented and compared some AI algorithms based on a given dataset. To this end, dynamic analyses data have been collected for crop yield prediction and used to construct a regression prediction model using a multivariate regression (MR), a deep neural network (DNN), multiple linear regression (MLR), gradient boosting regressor tree (GBRT) to analyze a range of agricultural factors that impact wheat crop yields. These factors include soil moisture, temperature, rainfall, and crop growth stages. The model is trained on a large dataset of wheat crop yields and corresponding agricultural factors, allowing it to learn patterns and make accurate predictions. The experiments conducted on the dataset demonstrate the effectiveness of the proposed model.

31-Article

PARALLEL COMPUTATIONAL ALGORITHMS FOR SOLVING TWO DIMENSIONAL PROBLEMS OF OIL FILTRATION IN A POROUS MEDIUM

Ismailov Sh.R., Elmira Nazirova

This article deals with the numerical method and efficient calculation algorithm of solving the unstable oil filtration problem, numerical methods of solving the boundary value problem set to the parabolic differential equation, numerical modeling using the finite-difference method, and the development of parallel computing algorithms. Based on the two-dimensional mathematical model of the non-stationary filtration process in the layers of oil fields, a boundary value problem was constructed and a numerical model for its solution was developed. In order to determine the main indicators of the process of development of oil fields, an efficient calculation algorithm for solving the two-dimensional boundary problem was developed. An effective calculation algorithm was developed for the purpose of parallel calculation. In the calculation of the main indicators of the filtration process in the operation of oil fields, calculation experiments were conducted and analyzed. Experiments have shown that the use of parallel computing algorithms is effective in calculating the main indicators, increasing the number of coordinate points, and increasing the calculation time.

32-Article

A comprehensive review of the use of data mining algorithms in facial recognition systems for payment systems

Irgasheva D.Y, Agzamova M.Sh.

The use of electronic payment systems has become more widespread with the increase in online transactions, and the need for secure and reliable authentication methods has become a critical issue. The use of facial recognition based on unique individual biometric features is a potential solution. However, the effectiveness of facial recognition can be enhanced through the use of data mining techniques to analyze and classify facial features. Facial recognition in low-quality datasets poses a significant challenge for biometric identity verification in payment systems. In recent years, researchers have been working on improving the accuracy and reliability of facial recognition under these challenging conditions by combining adaptive loss functions and data mining methods. This article presents a study that explores the use of data mining algorithms for facial recognition in payment systems. The study highlights the importance of using data mining algorithms in facial recognition systems to enhance accuracy and security. By analyzing the work of various authors in this field, this study aims to contribute to the development of more effective and efficient facial recognition systems for payment systems.

33-Article

Machine Learning Approach for Content Delivery Network Slicing

Nazirjon Nabijanovich Khasanov

This paper explores content delivery networks and the principles of their construction. Issues to consider when implementing content delivery networks and problems that can be solved using machine learning are analyzed. The principles of network slicing in content delivery networks were studied, and a scheme for applying machine learning was proposed.

34-Article

Numerical modeling of a doubly nonlinear parabolic reaction-diffusion process

Zarnigor Fayzullayeva, Sadullayeva Shakhlo Azimboyevna

In this article, the limitation of the rate of heat propagation, spatial localization properties of mathematical models of heat propagation and diffusion processes described by the system of nonlinear equations of parabolic type in two-component environment are defined and properties of nonlinear mathematical model of convective migration rate depending on time and damping coefficient in two-component medium were studied. The effect of these factors on the studied heat transfer and diffusion processes is shown. Analyzing the solution based on the principle of comparison, it was determined that the one-way localization of the solution and the effect of convective transfer occur under the influence of convective transfer in two dimensions. The main calculation scheme of diffusion processes in moving media characterized by the system of parabolic-type nonlinear equations was built, the algorithm and methods and software were developed and the solution was visualized

35-Article

Mathematical and informational model of calculation of key indicators in development of gas fields with complex configuration

Mohiniso Mahmudova, Talipova Ozoda

The article is devoted to the construction of a mathematical and informational model of gas fields with a complex configuration. The geological and hydrodynamic parameters of the mine, the configuration of the filtration area, the wells and their discharge, the initial state of the pressure area, the permeability of the layer, the porosity, and the working hours of the wells were taken into account in the construction of the information model. On the basis of the created information model, a general scheme of the database was developed, which took into account the configuration of the filtration area, wells and their flow rates, pressure values, layer permeability, porosity, and the start and end time of well control. At the same time, a program was created based on a numerical model and a calculation algorithm, with the help of which a series of computational experiments can be conducted on a computer to study the process of oil and gas filtration in a porous medium. The result of the software is presented in a visual form in 2D and 3D graphics.

36-Article

MATHEMATICAL MODELING OF TWO-PHASE FILTRATION PROCESS IN DEVELOPMENT OF OIL FIELDS

Ne`matov A.R.

A mathematical model, methods and algorithms for the numerical solution of problems of joint gas-water filtration in porous media are considered. The mathematical model of the process of non-stationary joint gas-water filtration in a porous medium is described by a system of nonlinear differential equations of parabolic type. In the numerical solution of the boundary value problem of gas displacement by water in a porous medium, the differential sweeping method is used for systems of differential-difference equations. The system of differential-difference equations with respect to the gas pressure function is nonlinear, therefore, an iterative method is used for it, based on the method of quasilinearization of nonlinear terms. Computational algorithms and software have been developed for conducting computational experiments to study unsteady processes of gas filtration in porous media. The results of the developed software, as well as the results of computational experiments in a graphical form in visual form are given.

37-Article

MODEL OF MANAGEMENT OF EMPLOYMENT OF UNIVERSITY GRADUATES

Alisher Fazilov, Ma’ruf Kucimov

The paper proposes a university model from the point of view of meeting the population's demand for educational services and providing the region's economy with specialists with higher education, formalizes the task of employing a university graduate in the specialty, determines the nature of the functional dependence of the university throughput on the student's professional self-determination, and obtains a system of production rules based on real data, which allows to form recommendations for adjusting the professional self-determination of the prospective employment of future graduates

38-Article

Classification of Automated Learning Management Systems

Ozod Babomurodov, Nodir Rahimov, Jo‘ra Quvondiqov

The use of information technologies, particularly automated systems for educational management, enhances the abilities of both teachers and students to achieve their goals within the educational process. These systems offer educational content, assist in organizing and monitoring training, gather progress statistics, and can cater to the individual characteristics of each system user. Currently, there is an extensive range of both paid and free systems available. These systems are hosted on educational institution servers or in the cloud, and they offer various functions with different licensing models and associated costs. This array of options presents the challenge of selecting the optimal system, partly stemming from the absence of a comprehensive classification of such systems. An analysis of over 30 of the most prevalent automated learning management systems has indicated that their classification should be based on specific criteria that group similar systems together. The author proposes the following classification features: cost, functionality, modularity, customer requirements, content integration, physical system layout, and adaptability to learning.

39-Article

ARTIFICIAL INTELLIGENCE IN PERFORMANCE ANALYSIS OF FOOTBALL MATCHES AND PLAYERS

Kh.Aliyarov, M.Rikhsivoev, M.Arabboev, Sh.Begmatov, S.Saydiakbarov, Kh.Nosirov, Z.Khamidjonov, S.Vakhkhobov

Football is a widely beloved sport that has evolved into a significant industry. To enhance the performance of teams and players, it is crucial to have effective control tactics and game planning. While training progress is essential, analyzing past games can be even more effective than focusing solely on training. With the help of cutting-edge technology like Artificial Intelligence, game tactics review has become a much more efficient and streamlined process. Utilizing computer vision, game reviews can reveal essential points such as ball passing and fouls. This paper aims to explore the potential of artificial intelligence in football. Specifically, it will review the technologies developed for performance analysis of football matches and players.

40-Article

ANALYSIS OF CUBIC SPLINE FUNCTIONS IN BIOMEDICAL SIGNAL RECOVERY

H.N. Zaynidinov, B.R. Azimov, M.M. Abduganiev

this article discusses the issues of digital processing and restoration of biomedicine signals to the electroencephalogram signal (EEG), and 21 sensors in the EEG apparatus are placed on the brain, sensors are called, their contact types, the use of bipolar contact in determining signs of the disease, the processes of interpolation of signals, separation of parts indicating signs of the disease into mass headquarters are studied. In the course of work, the spline functions Natural and Hermite were chosen as the mathematical model most convenient for digital processing of EEG signals. Based on the constructed mathematical model, an analysis of spline functions in the restoration of electroencephalogram (EEG) signals is given.

41-Article

COMPARATIVE ANALYSIS OF AI METHODS FOR ATHLETES TRAINING

M.Rikhsivoev, M.Arabboev, Sh.Begmatov, S.Saydiakbarov, Kh.Aliyarov, Kh.Nosirov, Z.Khamidjonov, S.Vakhkhobov

Athlete monitoring is essential for improving training, preventing injuries, and enhancing performance. With the advancement of wearable sensors and artificial intelligence (AI), advanced systems have been developed to track key performance indicators (KPIs). This review paper focuses on using AI techniques in athlete monitoring applications, including machine learning, deep learning, and natural language processing usage cases. These approaches help model workload, recovery, fitness, and injury risk indicators. This review paper also examines the various data sources used in athlete monitoring, such as biometric measurements, performance metrics, GPS and accelerometer data, training logs, medical records, sleep monitoring, nutrition and hydration, psychological monitoring, and environmental factors. These sources provide comprehensive insights into an athlete's physiological and psychological states. The collected data can be analyzed to identify patterns, trends, and correlations using various modeling approaches such as machine learning, predictive analytics, statistical analysis, data fusion, and real-time monitoring. This facilitates real-time feedback and personalized training programs tailored to individual athletes’ needs. AI-driven athlete monitoring systems have shown promising results in preventing injuries, enhancing performance, optimizing recovery, and providing personalized recommendations based on individual athletes’ data.

42-Article

MODEL AND ALGORITHM OF STAFF ON THE BASIS OF THE STATE SYSTEM OF INTERACTIVE SERVICES

Z.Z.Begmatova

Purpose of the article is to model the processes of monitoring the quality of interactive services provided through a single interactive public services portal, and to create an interactive service for monitoring the activities of higher education institution personnel and their demand, designed to optimize the Unified Interactive Public Services Portal. The objective of the study is to create an interactive service for monitoring the activities of higher education personnel and the demand for them, designed to model the processes of monitoring the quality of interactive services and optimize them in the Unified Portal of Interactive Public Services.

43-Article

ENSURING THE ACCURACY OF THE SELECTION AND EVALUATION OF CANDIDATES BASED ON THE METHOD OF MULTI-CRITERIA ANALYSIS

K.M.Medetova

Effective talent acquisition is pivotal for organizational success, demanding precise candidate selection and evaluation processes. This article explores the application of the Multi-Criteria Analysis (MCA) method in optimizing the accuracy of these crucial aspects of human resource management. MCA, a versatile decision-making tool, allows for the consideration of multiple criteria simultaneously, providing a comprehensive and systematic approach to candidate assessment. The paper delves into the theoretical foundations of MCA, discussing its principles and methodologies. Furthermore, it highlights practical implementations of MCA in the context of candidate selection, emphasizing its ability to weigh diverse criteria such as skills, experience, and cultural fit. The article also addresses the challenges and considerations in deploying MCA in the recruitment process. By examining real-world case studies and industry best practices, this article contributes to the growing body of knowledge on enhancing the precision of candidate selection and evaluation through the integration of the Multi-Criteria Analysis method.

44-Article

SAFETY OF ROBOTIC SYSTEMS, THE LEVEL OF IMPORTANCE OF DEVICES FOR INFORMATION SECURITY AND PERFECT SECURITY SYSTEMS

Kodirov Zarif Zafarovich

This article discusses algorithms and tools for information security through software applications with artificial intelligence and security through devices and technologies. Intelligently designed safe robots help people in various areas of life and they work for people. Regular monitoring, maintenance, and updates are essential to ensure that robotic systems remain safe throughout their operational life. This includes software updates, hardware inspections, and periodic risk reassessments. The safety of robotic systems is a multidimensional challenge that requires collaboration among engineers, researchers, regulators, and users. As technology advances, ongoing efforts to improve safety standards and practices will play a crucial role in the responsible integration of robots into various domains.

45-Article

Digital processing of geophysical signals by cubic basic splines

Muslimjon Kuchkarov

The article discusses the increased accuracy and efficiency in resolving signals using the spline method of processing and retrieval. At the same time, algorithms have been developed in the processing of digital signals. Based on the generated algorithms, a graph of cubic cubic splines in constant steps was constructed. A table comparing the results based on the algorithms, the experimental values, and the processed results based on the analytical functions is provided.

46-Article

Principles Of Integration And Development Of Functional Structures.

Bakhodir Muminov, Ubaydullo Arabov

Currently, there are many approaches to the implementation of interactive services in information systems. And their integration with central government services is among the important issues being discussed. In this case, we can mention such approaches to information integration as enterprise application integration, inter-organizational integration, business process integration, information integration and data extraction, transformation and loading. In particular, the principles of integration of interactive services are outlined, such as uniformity of programming technology, similar architecture of computer networks and uniformity of database structure. Here is a description of the functional structure of a software package for integration based on interactive services. This structure identifies such main components as the structure of the organization's information systems, the structure of the implementation of the interactive service, data and resources, objects for integration, as well as sending and receiving information

47-Article

MODELING OF DETERMINING THE SIZE OF CAVITATION DAMAGE IN A FLOW

O‘ktam Ibragimovich Begimov

The article presents modern methods of cavitation erosion of metal and protection against cavitation, and considers safety issues. The general hypothesis of cavitation erosion, erosion of a material, the occurrence of cavitation erosion due to impact, the impact of a flow hitting the surface of a material and causing cavitation bubbles, a jet resulting from the explosion of bubbles hitting the surface of a material and bursting, and the occurrence of inertial force is considered. The patterns of erosion of steel material in a hydraulic structure are considered and graphs are obtained that describe the erosion of steel material using formulas or semi-empirical formulas expressing bending, shear, axial movement, stretching or compression of a sample of this material. Material as a result of the application of cyclic symmetrical forces. The microstructure of blocks has various variations.

48-Article

DATA STORAGE IN BUSINESS ANALYTICS AND ETL PROCESSES

Muminov Bakhodir, Eshankulov Khamza, Murodova Rano

the purpose of this article is to introduce business intelligence and the concept of data warehousing, highlighting important aspects for business and responding to the exponential growth of technological change. Since the data warehouse is a vital element, the article explains the basic definitions, concepts, technical architectures and structured models of data and data warehouses in general. Its goal is to provide a comprehensive understanding of the role of data warehousing in business intelligence. Extract, transform, and load (ETL) processes are an integral part of a data warehouse because they allow data to be extracted from various sources, converted into a standardized format, and loaded into a central repository for subsequent analysis.

49-Article

FACTORS AFFECTING EMPLOYMENT OF GRADUATES.

Ma’ruf Kucimov

The need to create algorithms for the employment of a university graduate is one of the modern trends in the labor market. The answer to these challenges is the development of the necessary employability competencies among graduates. As a competence, the employability of graduates means the acquisition of knowledge, skills in various areas of employment and the development of new methods of adaptation in the labor market. Preparing graduates for the realities of the modern labor market is the task and concern of the university, since the indicator "level of employment of university graduates" is one of the main criteria for the effectiveness of training and an indicator of its competitiveness.

50-Article

DIVIDING SOCIAL NETWORKS INTO TWO COMMUNITIES: A MARKETING PERSPECTIVE

Dilshodbek Zakhidov

Explores the concept of partitioning customer-centric social networks into two distinct communities to optimize marketing strategies. It delves into the application of graph algorithms to identify discrete communities within broader social networks. The article illustrates the practical application of these concepts through examples of customers categorized based on their product preferences. The article emphasizes the potential for improved personalization and efficiency in marketing campaigns through such strategic targeting tactics. It also highlights the role of Maximum Likelihood Estimation (MLE) in estimating the probability of an individual being categorized into a specific group based on their behaviors, thus making targeted marketing more precise.

51-Article

TECHNIQUES TO PREVENT SQL INJECTION AND CROSS-SITE SCRIPTING

Khujakulov Toshtemir Abdikhafizovich, Gaipnazarov Rustam Takhiritdinovich, Majidova Yulduz Daniyarovna

The article discusses a method for preventing SQL injections and cross-site scripting using the Knuth-Morris-Pratt string matching algorithm. SQL injection and cross-site scripting remain a major threat to data-driven web applications. There are more and more cases where hackers gain unlimited access to the internal database of web applications in order to steal, edit and destroy confidential data. Therefore, measures must be taken to curb the growing threats of SQL injection and XSS attacks. This study presents a technique to detect and prevent these threats using the Knuth-Morris-Pratt string matching algorithm. The algorithm was used to match the user's input string with a stored injection string pattern to detect any malicious code. The implementation was carried out using the PHP scripting language and the Apache XAMPP server. The security level of the method was measured using various test cases of SQL injection, cross-site scripting (XSS), and code injection attacks. The results obtained showed that the proposed technique is able to successfully detect and prevent attacks, register an attack record in the database, block the system by its mac address, and also generate a warning message. Thus, the proposed technique turned out to be more effective in detecting and preventing SQL injections and XSS attacks.

52-Article

INTRODUCTION TO DEEP LEARNING IN ECONOMIC FORECASTING

Absalamova Diyora, Bekmurodov Ulugbek

In the ever-evolving landscape of economic analysis and prediction, the integration of cutting-edge technologies is reshaping the way we perceive and forecast economic trends. Among these transformative technologies, deep learning (DL) stands out as a powerful tool with the potential to revolutionize economic forecasting. In this article, we embark on an exploration of the fundamental concepts surrounding the integration of deep learning into economic forecasting, understanding how this synergy may redefine the accuracy and efficiency of predicting economic outcomes.

53-Article

Pattern recognition of railway technical documentation

Aripov Nazirjon , Shabonova Dilnoza

The pattern recognition of technical documentation in railway transport represents a critical component in the evolution of intelligent railway systems. This study delves into advanced methodologies for automated analysis and comprehension of technical documents within the railway domain. Key focus areas include image processing, natural language processing, and machine learning techniques to recognize patterns inherent in diverse technical documents such as manuals, schematics, and specifications. The integration of computer vision algorithms aids in the extraction and classification of visual elements, while natural language processing enables the semantic analysis of textual information. Machine learning models, particularly those using deep learning architectures, contribute to the automated identification of complex patterns within the documentation. The implications of successful pattern recognition in railway technical documentation extend to enhanced system maintenance, streamlined operations, and overall improved safety and efficiency in railway transport. As the rail industry embraces technological advancements, the findings of this research hold promise for shaping the trajectory of intelligent railway systems and contributing to the evolution of modern rail transport infrastructure.

54-Article

The model of creation of virtual museum geometric shapes divided into segments and the algorithm of geometric intersection of objects

Djumanov J. Kh., Xudayberganov T.R

The article tries to solve the problem of inter-section with a plane by constructing their ex-act geometric dimensions using a new geo-metric model based on the creation of virtual images of original museum exhibits based on engineering geometry and computer graphics. The algorithm of intersection of three-dimensional shapes is described.

55-Article

Model for transmitting URLLC packets in 5G networks

Amirsaidov Ulugbek

5G New Radio (NR) will support a new Ultra Reliable Low Latency Communications (URLLC) service designed to support small packets transmission with very strict latency and reliability requirements. Grant-free (GF) scheduling has been proposed for URLLC instead of the traditional high-latency grant-based (GB) scheduling adopted in 4G Long Term Evolution (LTE) networks. Although GF scheduling on shared resources provides lower latency, the ability to achieve the URLLC reliability requirement may be defaced due to the increased probability of collisions. In this paper, the optimal configuration of the modulation-code scheme and the number of retransmissions of Uplink Grant-Free URLLC packets are determined. Analytical expressions have been developed for calculating the service characteristics of URLLC traffic depending on the quality of the communication channel, modulation code scheme (MCS) parameters and the number of resource blocks required to transmit a packet after encoding it.

56-Article

MODELING OF WIRELESS SENSOR NETWORKS AND SYSTEMS.

A. M. Nazarov, D. A. Mirzaev, Z. Zh. Kuziev

The work is devoted to solving the problem of developing information technology for monitoring environmental parameters based on the concept of the Internet of Things (IoT), taking into account the uncertainty of information sources and the possibility of crisis situations. The principles of construction, technological solutions and directions of development of environmental monitoring systems are analyzed. The advantages and disadvantages of the known approaches are revealed and the expediency of constructing mathematical models, methods and algorithms for compiling communication protocols of wireless sensor networks (WSN) with random access and appropriate information technologies for monitoring environmental parameters to ensure high performance, quality and survivability of their functioning is proved. Stochastic models of the functioning of wireless sensor networks using randomized network parameters have been improved, which makes it possible to assess the possibility of a signal collision and design Internet of Things communication protocols more effectively.

57-Article

Development Of An Optimal Approach To Satellite Image Preprocessing Using The CNN Model

Bobomurod Tojiboyev, Khudaiberdiev Mizaakbar, Alimqulov Nurmuhammad

Article focuses on land cover classification using convolutional neural network models with Sentinel-2 satellite imagery. VGG16 model consisting of 13 convolutional layers and three fully connected layers was used for the classification task. The research paper also considered the problem of land cover classification using Sentinel-2 satellite images using Convolutional Neural Network Model. The classification system helps to identify changes in land cover and improve geographic maps. The model is tuned by backpropagation to optimize performance. The training process included 50 epochs, after 25 epochs significant accuracy was achieved.

58-Article

Formulation Of Agricultural Management System Innovation: Startup Formation And Implementation

B.H.Kushiev, A.Y.Ilxamov, S.Y.Isanturdiev, A.T.Babajanova

In recent years, the agricultural industry has witnessed a significant shift towards innovation and technology-driven solutions. One of the key components of this transformation is the development and implementation of agricultural management systems. These systems integrate cutting-edge technologies, data analytics, and sustainable practices to optimize farm operations, increase productivity, and drive profitability. In this article, we will delve into the formulation and implementation of an agricultural management system innovation, focusing on the startup formation process and the importance of calculations and formulation in its success.

59-Article

Towards Identifying Interactions Between Human and Object Using Transformer-Based Models

Abdurashidova Kamola Turgunbaevna, Abdukhakimov Fayzulla Kudratulla ugli, Chorshanbiyeva Sevinch Akramovna

Understanding the subtle interactions between individuals and objects is critical for a variety of applications, including robotics, computer vision, and human-computer interaction. This paper looks at the research landscape for using transformer-based models to discover and understand these relationships. Existing approaches based on their methodologies, datasets used, and application fields have been explored thoroughly. The paper identifies several existing SOTA (state-of-the-art) methodologies that use transformer-based models to detect interactions among people, and objects as well.

60-Article

Computational Algorithms For Solving Boundary Value Problems Of Magnetoelastic Plates With Complex Form

Fakhriddin Nuraliyev, Muhammadbobur Mirzaakhmedov, Isaeva Nazim

This article presents a method of constructing a sequence of coordinate functions (solution structures) using the R-function method of V.L. Rvachev (Rvachev Function Method, RFM) to solve numerically the problem of the boundary of magnetoelastic plates of complex structural form in the process of thermoelectromagnetic-elastic deformation according to the given boundary conditions and constructing an algorithm with the joint use of the Newmark method, Bubnov-Galerkin variational and variational forms, Gaussian numerical methods

61-Article

FIRST-LEVEL KINSHIP IDENTIFICATION ALGORITHM

Zaynidinov X.N, Kuchkarov M.A, Yoqubov M.Gʻ, Tosheva D.M

In today's world, the identification of first-degree kinship is considered crucial in issues such as family, inheritance, marriage, and confirming paternity or maternity. Despite the fact that research has been conducted by several influential foreign institutions in this field, sufficient algorithms have not been developed for national software products in our country to address this issue. This article examines the issue of first-degree kinship from several perspectives: first, compiling a state registry based on the genome; second, situations requiring the identification of first-degree kinship; and third, the algorithm for the specific case of "Parent+Parent+Child" combination, which is characteristic of first-degree kinship. An algorithm has been developed based on this combination to identify first-degree kinship, and results have been obtained through its implementation. Based on these results, the probability of paternity (or maternity) has been calculated as a percentage indicator. The obtained results contribute to the development of the national genome database and enable the utilization of algorithms for identifying first-degree kinship.

62-Article

METHODS OF SPATIAL AUGMENTED REALITY TECHNOLOGY IN MOBILE APPLICATIONS

Artikova M.

The paper presents an overview of methods and technologies used to develop mobile applications using augmented reality (AR). The main focus is on spatial methods that allow for the effective integration of virtual objects into the user's real-world environment. The methods used in developing a mobile application based on marker-based and spatial augmented reality technologies are identified and analysed. In particular, the use of Simultaneous localisation and mapping (SLAM, Simultaneous localisation and mapping) method is justified, which being an integral part of the augmented reality experience, provides geometric positioning of the augmented reality system, extends the real environment by adding virtual objects based on the localisation and structure of the environment. Visual interaction with the surrounding world based on augmented reality technologies is considered, and current trends and prospects of AR technologies in mobile applications are also discussed.

63-Article

Design of Warehouse Management Information System of production enterprise

Javlon Gulyamov

The issue of managing reserves in the warehouse is considered urgent, and the provision of timely and sufficient production enterprise departments with them ensures the absence of production interruptions. The fact that stocks are collected in the warehouse more than necessary leads to the freezing of the enterprise's funds, unnecessary expenses. Therefore, it is advisable to digitize the management of reserves, use modern solutions. The article presents the issue of designing the information system of technological processes of the warehouse of the islab production enterprise, in which it is proposed to identify reserves by QR code when entering and leaving the warehouse. The article developed a project of Information System modules for accounting for the turnover of reserves in the warehouse.

64-Article

DIRECT AND CONNECTED PROBLEM OF TRANSPORT OF HARMFUL SUBSTANCES IN THE ATMOSPHERE, TAKEN INTO ACCOUNT OF THE ABSORPTION AND CAPTURE OF PARTICLES BY VEGETATION IN THE GROUND LAYER

Ravshanov N., Tashtemirova N.N., Ubaidullaev M.Sh.

The work solves the conjugate stationary and non-stationary problems of the process of transfer and diffusion of harmful substances in the atmosphere, taking into account the absorption coefficient, which depends on weather-climatic factors and external disturbances, and the coefficient of adhesion of aerosol particles by vegetation, where dual functionals were obtained for them for optimal resolution of industrial facilities in the region and obtained analytical solutions for the above tasks. Numerical calculations were carried out on a computer and it was found that the particle capture parameter by vegetation is significant, which depends on the type and size of vegetation and takes on different values, varies depending on the time of year, and with an increase in the particle capture parameter, the concentration of harmful substances in the atmosphere decreases proportionally. Computational experiments have established that the concentration of harmful substances in the ground layer of the atmosphere decreases over time with an increase in the coefficient of absorption and capture of particles by vegetation, and the process of molecular diffusion of harmful substances in the atmosphere depends on the diffusion coefficient and with an increase in the diffusion coefficient, the area of distribution of harmful substances in the ground layer of the atmosphere increases .

65-Article

Development of rules and knowledge base in the exchange of expert system data

Bakhodir Muminov, Ubaydullo Arabov

Currently, there are many approaches to information exchange in information systems. The following text discusses a comprehensive framework for integrating interactive services into information systems, focusing on mathematical foundations and practical implementation. The focus is on model (1), which details the process of information integration through a systematic approach that includes data collection, minimal form sharing, and uniformity of data types. Key components include the integration engine (A→B), which facilitates the mapping of data attributes from one system to another, ensuring consistency and efficient data flow. The integration process supports the seamless integration of different data structures and types with rule-based decision models and relational database management. This system ensures efficient exchange and management of information between interconnected systems and improves overall system compatibility and functionality.

66-Article

INFORMATION LOGIC MODEL AND ALGORITHM FOR DETERMINING THE H-INDEX OF NATIONAL SCIENTIFIC JOURNALS

Nazirova E. Sh, Erkinov Sh.Sh, Hajiyev S.A.

IDEF0-model of the process of submission and publication of an article by a user (author) to the uzjurnal.uz platform, the IDEF0-model of the process of registering and submitting an article from the platform, the IDEF0 model of the tasks of the main and separate magazine administrators from the platform is developed. developed. Using this model, the process from the arrival of an article to its publication on the uzzhurnal.uz platform is described. Journal users are divided into basic admin, journal admins, users, authors, editors and reviewers, and the performance tasks of each role are revealed using the above IDEF0 models.

67-Article

FEATURE SELECTION IN MULTI-OUTPUT CLASSIFICATION USING RECURSIVE FEATURE ELIMINATION: A CASE STUDY ON MEDICAL DATA

Sharipov D.K., Saidov A.D.

This study investigates the use of Recursive Feature Elimination (RFE) for feature selection in multi-output classification, particularly with a medical dataset. The classification task requires predicting several related binary outcomes simultaneously, making feature selection vital for reducing dimensionality and enhancing model performance. RFE is applied to each target variable, and common features across all targets are identified to refine the feature set while preserving prediction accuracy. A RandomForestClassifier, paired with a MultiOutputClassifier, is used to assess the predictive power of the selected features. The results indicate that RFE improves classification efficiency by removing redundant and irrelevant features, resulting in a model that is both more interpretable and computationally efficient. This method shows potential for optimizing multi-output medical classification tasks, providing advantages in healthcare data analysis.

68-Article

An Approach for Determining the Inclination Angle of Braille Texts Using Adaptive Constraints

Akmal Akhatov, Shokh Abbos Ulugmurodov

This article delves into the Optical Character Recognition (OCR) techniques used for recognizing the Latin Braille alphabet in Uzbek, the script designed for individuals with visual impairments. The text recognition process was achieved by applying a combination of various image processing and analysis methods. In particular, significant attention was given to adaptive thresholding techniques and the determination of text tilt angles.

69-Article

TECHNIQUES TO PREVENT SQL INJECTION AND CROSS-SITE SCRIPTING

*Khujakulov Toshtemir Abdikhafizovich ,Gaipnazarov Rustam Takhiritdinovich, Majidova Yulduz Daniyarovna, Nurbekov Shuxrat Melisovich

The article discusses a method for preventing SQL injections and cross-site scripting using the Knuth-Morris-Pratt string matching algorithm. SQL injection and cross-site scripting remain a major threat to data-driven web applications. There are more and more cases where hackers gain unlimited access to the internal database of web applications in order to steal, edit and destroy confidential data. Therefore, measures must be taken to curb the growing threats of SQL injection and XSS attacks. This study presents a technique to detect and prevent these threats using the Knuth-Morris-Pratt string matching algorithm. The algorithm was used to match the user's input string with a stored injection string pattern to detect any malicious code. The implementation was carried out using the PHP scripting language and the Apache XAMPP server. The security level of the method was measured using various test cases of SQL injection, cross-site scripting (XSS), and code injection attacks. The results obtained showed that the proposed technique is able to successfully detect and prevent attacks, register an attack record in the database, block the system by its mac address, and also generate a warning message. Thus, the proposed technique turned out to be more effective in detecting and preventing SQL injections and XSS attacks.

70-Article

Mathematical modeling of deformation processes of thermoelastic plates taking into account temperature

Shohruh Safarov, Mashrab Matlubov

In the article, based on the Hamilton variational principle, a mathematical model of the process of geometric nonlinear deformation of thin magnetoelastic plates with a complex structural shape was developed and calculations were performed. In this case, the three-dimensional mathematical model was transferred to a two-dimensional view using the Kirchhoff-Liav hypothesis. Cauchy's relationship, Hooke's law, Lawrence's force, and Maxwell's electromagnetic tensor were used to determine kinetic and potential energy and work done by external forces. The effects of the electromagnetic field on the deformation stress state of the magnetoelastic plate were observed. As a result, a mathematical model in the form of a system of partial differential equations with initial and boundary conditions was created. To solve the equation, a calculation algorithm was developed using the R-function, Bubnov-Galerkin, Newmark, Gaussian, Gaussian squares, and Iteration numerical methods. Calculations were carried out in various mechanical states of the magnetoelastic plate, its boundaries were fixed, one side was hinged and the other side was free, and numerous results were obtained. A comparative analysis of the results of the calculations was presented.

71-Article

Algorithm and software for calculating the main indicators of а gas fields

Gulstan Artikbaeva

The article presents the structure of the modules of a software complex that provides a visual representation of numerical results obtained during computational experiments. It addresses the development of a software complex for monitoring and forecasting based on the visual presentation of numerical results obtained during computational experiments on the main filtration process parameters in the development of single- and double-layer gas fields. The focus is on designing software interfaces that ensure convenient interaction for users conducting experiments, as well as creating a software complex that visually presents numerical results in 3D graphics. The use of mathematical modeling methods, as well as modern computer technologies, in solving issues related to the design, management, and research of gas and gas condensate fields simplifies problem-solving and requires less time. This enables the acceleration of the design and research of gas and gas condensate fields.

72-Article

INTEGRAL METHODS OF SOLVING INVERSE PROBLEMS OF THE DYNAMICS

Sagatov Miraziz Vorisovich

Based on the analysis and systematization of the inverse problems of dynamics, the study of the properties and features of the types of dynamic models under consideration, an approach is proposed for the development of appropriate methods of mathematical modeling based on the use and implementation of integral models in the form of Volterra equations of the I and II kind, their functional capabilities are determined in the study of various classes of problems , and also formulated the features that affect the choice of methods for their numerical solution. Methods for obtaining integral models are proposed, which are the basis for constructing algorithms for solving inverse problems of dynamics for a fairly wide class of dynamic objects. Integral methods for the identification of dynamic objects have been developed, which make it possible to obtain stable non-optimization algorithms for calculating the parameters of mathematical models. Recurrent methods of parametric identification of transfer functions of dynamic objects with an arbitrary input action are proposed (the obtained parameters of the transfer functions are also coefficients of the corresponding differential equations, which makes it possible to obtain equivalent mathematical models in the form of integral equations).

73-Article

MODEL OF A MULTI-AGENT SYSTEM FOR MONITORING AERONAUTICAL INFORMATION TELECOMMUNICATION NETWORK

Eshmuradov Dilshod, Turaeva Nasiba, Saidova Gulchehra, Muradova Alevtina

The purpose of the work in this article is to develop models and algorithms to ensure the effectiveness of monitoring the telecommunications network of information transmission in air navigation systems, allowing to systematize and improve the efficiency of the work of employees of the Department of the data transmission network of the aviation industry of Uzbekistan. The relevance of the development of this model is to use intelligent agents to help operators quickly enough to recognize a potential problem and help prevent a wide range of real failures. The development of a model of a network monitoring system based on multi-agent technology was completed and the function of each agent in the system was described. During the development, the formation and stages of operation of the multi-agent technology were studied. The practical results of the study of the work are that the proposed software and hardware for monitoring the transmission of aeronautical information in the airport telecommunications networks were successfully implemented and the efficiency of the network has increased significantly.

74-Article

Design an optimal wearable ECG device for monitoring heart activity.

Zaynidinоv H.N, Mamirov X.X, Azimov B.R, Boytemirov A.M.

The development of wearable ECG (electrocardiogram) devices has attracted considerable attention due to their potential to revolutionize cardiac health monitoring. This study presents a comparative analysis of microcontrollers and sensors to identify the optimal components for designing a reliable and efficient wearable ECG device. The evaluation focuses on popular microcontrollers, including Raspberry Pi, Arduino Uno, ESP8266, and ESP32, and ECG sensors, such as AD8232, SEN0203, and MAX30102. Key parameters considered include signal quality, processing power, energy efficiency, connectivity, ease of integration, and cost. The findings highlight the tradeoff between the sensitivity and accuracy of sensors in acquiring ECG signals, as well as the processing capabilities and power consumption of microcontrollers. The paper concludes by recommending the best combination of components for wearable ECG applications, paving the way for the development of cost-effective and scalable solutions for real-time cardiac monitoring.

75-Article

INSTRUMENTAL TOOLS OF THE PLATFORM FOR DETERMINING THE H INDEX OF SCIENTIFIC JOURNALS

Elmira Nazirova, Shokhrukh Erkinov, Hajiyev Sukhrob

The h-index has emerged as a pivotal metric for evaluating the scientific impact and productivity of journals, authors, and institutions. In the context of scientific journals, the h-index is instrumental in determining their influence and standing within the research community. This paper explores the critical tools and platforms available for calculating the h-index of scientific journals, emphasizing their methodology, accessibility, and accuracy. Prominent tools, including Web of Science, Scopus, and Google Scholar, are analyzed for their strengths and limitations in h-index determination. We highlight the role of citation databases, their indexing algorithms, and coverage of disciplines in influencing the h-index calculation. The study also examines open-access platforms and emerging AI-powered tools, which aim to democratize access to bibliometric analysis. Through a comparative analysis, the paper identifies key considerations for selecting the appropriate platform based on journal scope, citation frequency, and data granularity. Furthermore, challenges such as data incompleteness, citation biases, and variations in calculation methodologies are discussed. By synthesizing insights on available tools and their applications, this paper provides a comprehensive guide for researchers, editors, and policymakers to assess and leverage the h-index effectively in the realm of academic publishing.

76-Article

Concept of digital transformation of the economy: Innovative approaches and economic development forecasting

Makhkamov Bakhtiyor

The article analyzes the process of digital transformation in Uzbekistan`s economy, with a focus on innovative approaches and methodologies for forecasting economic development. It emphasizes the potential for enhancing the efficiency of both enterprises and government systems through the implementation of digital technologies. The author highlights the practical challenges associated with the digital economy and underscores the need for the development of methodological tools for analysis and forecasting. The importance of analyzing and forecasting the innovative activities of industrial enterprises is also discussed. These approaches contribute to the creation of new opportunities for economic growth and development.

77-Article

Analysis of hardware implementation of packet classification algorithms

Tashev Komil

This paper describes network packet classification algorithms for attack detection and prevention systems. Approaches to hardware implementation of network packet classification algorithms using decision trees, field splitting, and parallel processing are presented. The field splitting algorithm in the network context was initially studied in the Field- Split algorithm Bit Vector, the main purpose is to reduce memory consumption. To balance the bandwidth, and delay, which allows to improve the efficiency of power consumption and memory access, DPRAM is proposed for the FSBV algorithm, which will enable data to be read repeatedly. In the packet classification process, the source address, destination address, source port, and destination port are calculated by applying various operations for matching. To operate, to match the fields based on the FSBV algorithm, triggers, LUTs, and various logic elements will be applied.

78-Article

Issues of developing services for mobile communication companies in the trend of m-government

Aripova Dilafruz

This article examines measures to enhance the service life of devices by implementing a comprehensive preventive maintenance plan to ensure reliability and usability of mobile communication infrastructure in the "M-Government" environment of mobile communication companies. The aim is to provide high-quality services to users while increasing and supporting the customer base of service providers. This is achieved by studying customer relationships based on an analysis of customer satisfaction, retention, loyalty, acquisition, and attrition criteria. The importance of providing analytical information about each of the key indicators influencing customer relationships to the management of mobile companies is also highlighted

79-Article

Statistical methodology of developing services for mobile communication companies in the trend of m-government

Aripova Dilafruz

This article examines measures to extend the service life of devices by implementing a comprehensive preventive maintenance plan. The aim is to ensure the reliability and usability of devices to provide high-quality services to users of mobile communication infrastructure within the "M-Government" environment of mobile communication companies. Additionally, it explores ways to increase customer numbers and support service-providing companies by studying customer relationships based on an analysis of customer satisfaction, retention, loyalty, acquisition, and attrition criteria. The article also emphasizes the importance of providing analytical information to mobile company management about each of the key indicators influencing customer relationships

80-Article

Methods and models for identifying threats at the design stage of information systems

Rustamov Doniyor

This article examines cybersecurity issues that affect the efficient and fully functional operation of information systems which have rapidly integrated into human activities today. It analyzes approaches to identifying and eliminating cybersecurity threats not only during the creation of information systems but also at the stage of their architecture formation. The application of STRIDE, CWE, and OWASP methodologies and their shortcomings are highlighted. It should be noted that a comprehensive analysis and description of the information system`s services in threat modeling leads to the maximum formalization of potential threats. It is known that the software development lifecycle is recognized as a standard for all programmers. However, cybersecurity experts acknowledge that even in this scheme, there are insufficient stages that account for all cybersecurity threats. To address this, it is proposed to identify cybersecurity threats at the initial stages and define measures to eliminate them by introducing additional processes into the lifecycle of SDLC information system development. In this regard, it is important to develop a metamodel of information system elements and formalize the forms of activity.

81-Article

Prospects for the Development of Public Services in Uzbekistan through Digitalization

Mukhitdinov Aziz

In recent years, Uzbekistan has demonstrated a proactive approach to digitalization aimed at modernizing public administration and improving the quality of public services. This process is key to increasing the efficiency, transparency and accessibility of public services for citizens.

82-Article

A Bidirectional Notation of Korean and Uzbek Alphabet

Jeongyong Byun, Yakubov Maqsadxon, Nodir Egamberdiyev, Yuldashov Raxmon, Naim Nodira, Bekmuxammedov Bunyodbek

This article explores the challenges and solutions in developing a bidirectional system for Uzbek and Korean notation to accommodate the growing trade and administrative interactions between Uzbekistan and Korea. It highlights the limitations of the 24 Korean alphabets in representing Uzbek sounds accurately and proposes a solution using Hunminjeongeum Haerye and Unicode Hangul Jamo. The study analyzes Uzbek phonetic characteristics and their relation to Hangul, introducing eight consonant and four vowel rules for improved representation of Uzbek sounds in Korean. The research evaluates the effectiveness of these rules by applying them to Uzbek place names, personal names, and product names written in Hangul. It concludes that the proposed method enhances phonetic accuracy and identifies areas for further improvement, aiming for a notation system comparable to the International Phonetic Alphabet (IPA).

83-Article

Modernization of the structure of public administration in the process of formation of a digital society

Yakubov Maksadkhan

The article examines the process of modernizing public administration in the context of digital transformation of society. It highlights the role of information and communication technologies (ICT) as a tool for enhancing the efficiency of public administration, transparency, and citizen participation. The author explores the stages of e-government development, proposing a concept for the legal regulation of the modernization process. Special attention is given to the development of a legal regime of transparency, anti-corruption measures, and the necessity of improving the digital competencies of civil servants. The article identifies key directions of digital transformation, such as increasing citizen satisfaction, reducing administrative costs, and ensuring the security of information systems.

84-Article

The importance of student image recognition programs in education management

Azimov Bunyod, Ahmadaliyev Boburjon

Currently, the use of artificial intelligence systems to prevent human errors is developing day by day. The automated method of determining attendance by face recognition using intelligent systems is of great importance. I implemented this using the Python program. In addition, I tested the method of using the wavelet method to increase the accuracy and reliability of this system in test control. I explained the software sequence (algorithm) of implementing this process and my thoughts on using the necessary libraries.

85-Article

The role of artificial intelligence in digital transformation

Fayzullayev Shakhzod, Yuldashov Rahmon

Artificial Intelligence (AI) has emerged as a transformative force driving digital transformation across industries. This article examines the pivotal role of AI in reshaping business processes, enhancing operational efficiency and fostering innovation in the digital economy. The study focuses on how AI technologies such as machine learning, natural language processing, and computer vision contribute to automating decision-making processes, improving customer experiences and enabling data-driven strategies. Using a mixed-methods approach, this research investigates the adoption trends, challenges, and opportunities associated with AI implementation in organizations. Key findings highlight that businesses leveraging AI gain competitive advantages by streamlining operations and identifying new revenue streams. However, the study also underscores barriers such as ethical concerns, data privacy issues and the skills gap that hinder widespread AI integration.

86-Article

HUMAN OBJECT DETECTION FROM IMAGE USING COMPUTER VISION TECHNOLOGIES

Khalilov Sirojiddin, Khamdamov Utkir, Omonullayeva Farangiza

Currently, identifying human objects from video images around the world is somewhat difficult for scientific researchers engaged in computer vision. More effective methods for identifying a car, phone, cup and other objects in images are proposed. It is important to identify human objects from the images obtained by surveillance cameras in public places. Computer programs perform this process from scratch, meaning that the system is fed various images as input and after comparisons with a pre-stored database, the system identifies the person. In this paper, an approach for identifying different types of human faces through image processing has been developed. The Canny operator was used to determine the shapes of the objects in the input image.

87-Article

Water quality classification using KNN algorithm and real-time monitoring

Khudoyorkhan Jamolov, Djumanov Jamoljon, Rajabov Farkhat

Water quality refers to the extent to which water satisfies specific standards and requirements for various uses, including drinking, agriculture, industrial processes, and environmental conservation. Water quality parameters include various pH, TDS, temperature, and water level parameters that can affect water properties and safety such as water quality. To classify current and future water quality, machine learning-based classification models such as the algorithm, were calibrated using historical data and tested on independent datasets to evaluate classification accuracy. The result of this study is to use 4 attributes which are water quality parameters.

88-Article

Enhancing Land Cover Change Detection through Advanced Algorithms and Multi-Sensor Data Integration

Kuchkorov Temurbek, Saydullayev Humoyun, Khamzaev Jamshid

This thesis evaluates various change detection algorithms for land cover analysis using remote sensing data, aiming to enhance accuracy and efficiency in environmental monitoring. It reviews algebra-based, classification-based, and advanced statistical techniques, highlighting their applications, strengths, and limitations. The study emphasizes the integration of machine learning and multi-sensor data fusion to address current challenges in the field, advocating for hybrid models that improve detection capabilities across diverse landscapes.

89-Article

The Importance of Artificial Intelligence in Information Systems

Nazarova Gulchexra, Boboqulov Abbos

Evolution of AI definition; AI has a history much longer than is commonly understood, in fields from science and philosophy ranging all the way back to ancient Greece (Dennehy, 2020), but its modern iteration owes much to Alan Turing (Turing, 1950) and conference in Dartmouth College in 1956 (McCorduck, 2004), where the term Artificial Intelligence was officially coined and defined by John McCarthy at the time as the science and engineering of making intelligent machines. Russel and Norvig (2020) referred to it as the the birth of artificial intelligence. One of the initial paradigms of AI was that it revolved around high-level cognition. Not the ability to recognise concepts, perceive objects, or execute complex motor skills shared by most animals, but the potential to engage in multi-step reasoning, to understand the meaning of natural language, to design innovative artefacts, to generate novel plans that achieve goals, and even to reason about their own reasoning (Langley, 2011). This general human like intelligence was referred to as strong AI (Kurzweil, 2005). For strong AI, the primary approach has centred on symbolic reasoning, that computers are not simply numeric calculators but rather general symbol manipulators. As noted by Newell and Simon (1976) in their physical symbol system hypothesis, intelligent behaviour appears to require the ability to interpret and manipulate symbolic structures. While this approach showed promise initially (Newell & Simon, 1963), many branches of AI have retreated from this approach due its difficulty and the lack of progress coming in to the 21st century. It remains yet uncertain on when and if strong AI will be made a reality.

90-Article

The role of machine learning algorithms in image classification

Raximov Abdug`ofur

Image classification is one of the most important and widely used areas of artificial intelligence (AI) and machine learning (ML) technologies today. The importance of analyzing and using images in various applications such as medicine, automotive, security, social media and entertainment is increasing. The image classification process usually consists of dividing the data in the images into specific categories or classes, and machine learning algorithms play an important role in this process. These algorithms allow you to extract complete data from images, analyze them and divide them into the correct classes.

91-Article

History Of Development and Basic Concepts Of Quantum Computing Theory

Quantum computing has emerged as a groundbreaking field driven by the need to address intricate challenges in physics, mathematics, and algorithmic theory. The interplay between quantum mechanics, computational theory, and algorithmic innovation has catalyzed the development of this domain. Initiated by R. Feynman`s vision in 1982, which highlighted the limitations of classical systems in simulating quantum phenomena, quantum computing has paved the way for a new era of computational efficiency. Subsequent advancements, such as D. Deutsch`s quantum Turing machine and groundbreaking algorithms by P. Shor and L. Grover, have established the unparalleled capabilities of quantum systems.This study explores the fundamental concepts of quantum computing, such as qubits, quantum registers, and quantum operations, emphasizing their practical applications in cryptography, materials science, optimization, and artificial intelligence. Challenges such as noise resilience and error correction are also discussed, highlighting ongoing efforts to create stable and reliable quantum systems. The research underscores the transformative potential of quantum technologies in advancing computation, securing data, and innovating across various scientific and industrial domains.

92-Article

Object Detection: AI Algorithms, Methods, and Results

Saydazimov Javlonbek,Atadjanova Nozima

Object detection is a fundamental task in computer vision, combining image classification and localization to detect multiple objects in a scene. With advances in artificial intelligence (AI), object detection algorithms have transitioned from traditional handcrafted techniques to sophisticated deep learning methods. This paper explores various object detection algorithms, methodologies, and their performance on benchmark datasets, providing insights into their strengths, limitations, and future potential.

93-Article

Adaptive hybrid filtering algorithms with an artificial neural network as part of an adaptive filter

Sevinov Jasur,Zaripova Shahlo

— The paper presents algorithms for adaptive hybrid filtering with an artificial neural network as part of an adaptive filter. This approach is one of the options for the practical application of adaptive hybrid filtering methods. Adaptive hybrid filtering algorithms with an artificial neural network as part of an adaptive filter allow you to train a neural network and adjust the weighting coefficients for filtering procedures to the statistical characteristics of the measured and observed indicators.

94-Article

Using artificial intelligence technologies in higher education management

Turg‘unov Abrorjon, Aliev Oybek, Nosirova Namunabonu, Marks Matyakubov

The rapid evolution of artificial intelligence (AI) technologies presents transformative opportunities in higher education management. This study explores how AI can enhance decision-making, streamline administrative processes, and improve resource allocation in universities and colleges. Key applications include predictive analytics for enrollment management, intelligent systems for personalized student support, and AI-driven tools for optimizing faculty workload distribution. The research also highlights the potential of AI to improve operational efficiency by automating routine tasks, such as scheduling, grading, and communication. Ethical considerations, including data privacy and equity, are critically examined to ensure responsible implementation. By integrating AI technologies strategically, higher education institutions can improve their adaptability, efficiency, and capacity to meet diverse stakeholder needs in a rapidly changing educational landscape. This paper provides a framework for leveraging AI effectively, along with case studies demonstrating its impact on institutional performance and student outcomes.

95-Article

Different of A Study based Face Recognition Algorithms

Uralova Iroda, Boboqulov Abbos

In recent years, the biometrics has achieved a great attention on a world level. A Biometric System operates by getting biometric information from a personal that extracts a feature set from the data which is acquired, and helps in comparing this feature set against the template stored in the database. There are biometric technologies which could either be physiological or behavioral. Face Recognition is having the importance to provide biometric authentication with easy image acquisition that can be used for online and offline applications. There are number of existing approaches for biometric facial recognition and classification. This paper gives a review on some of the common and reliable approaches which include PCA, LDA, SVM, SIFT, SURF, etc. Face recognition is one of the most exciting and prominent applications of deep learning applied in the domain of visual computing. Not only can it showcase the power of deep learning but also it can highlight some of the concerns of using a methodology whereby a black-box approach is utilized for solving problems whose solutions have real-life consequences.

96-Article

Statistical analysis of big data in databases using fractal theory

Anarova Shahzoda, Qarshiyeva Soliha, Ismoilova Maftuna

This paper reviews the integration of fractal theory in improving statistical analysis within large-scale databases. It points out the increasing complexity of modern datasets, which are usually characterized by an irregular pattern and self-similarity across different scales. The authors introduce fractal theory as a strong mathematical method to capture these properties, thus allowing for more precise analysis and modeling of nonlinear, high-dimensional data structures. The article points out the superiority of the fractal-based approach in comparison with the traditional statistical method when sparse, incomplete, or unstructured data arises. An example shows fractal dimensions improve the accuracy of multidimensional feature extraction in a database, enabling proper decision-making related to finance, healthcare, or logistic areas. The paper is concluded with remarks on how fractal-based methodologies promise to provide the solution needed by these increasing exponential data records and advocate that more detailed research in these techniques will be carried out for broader applications. This work would be beneficial to researchers in the field of data science, database management, and applied mathematics.

97-Article

Designing textile patterns with big data based on L-systems

Anarova Shahzoda, Uralova Iroda

This paper focuses on the design of textile patterns using Lindenmayer systems (L-systems), focusing on alternative computational methods for generating and refining designs. The research explores the possibilities of algorithmic design, fractal geometry, and randomness in textile pattern generation, providing an integrated approach to creating aesthetically pleasing and complex patterns that can be applied in the textile and carpet industries. This paper first describes the methods for creating and implementing L-systems, conducting research on the various graphs generated by them. Since the number of graphs generated based on the basic principles is limited, this paper aims to gradually diversify the L-system rules through various operations such as context switching and inheritance modification, producing a wide range of new, unexpected plant-like and abstract forms. The resulting artistic figures are then processed and applied to the design of textile patterns using the image processing software Photoshop. This research not only improves the algorithm and graphics of L-systems, but also provides a new perspective on the production of textile patterns.

98-Article

Comparative Analysis of the Assessment of Knowledge and Potential of Students in the System of Domestic and Foreign Universities

Alimova Fotima, Kuvnakov Avaz

At the current stage of development of educational standards, improving the quality of higher education is an important condition for the future competitiveness of young personnel, therefore, the potential approach is important not only for the implementation of academic activity of students of higher education institutions of international level, participation in grant programs and exchange programs, rather, it is important to assess the

99-Article

Models and Algorithms to Improve the Efficiency of Information Exchange Processes in Digital Transformation

Egamberdiev Nodir, Sodiqov Vali, Yadgorov Feruz,

this paper explores two models aimed at enhancing the efficiency of information exchange in digital transformation: Data Routing Optimization and Real-Time Data Synchronization. Model 1 optimizes data transfer speed by reducing routing delays, achieving a 5% improvement in transmission time. Model 2 focuses on ensuring real-time data consistency across distributed systems, reducing synchronization delay by 4%. Both models are evaluated based on system resource utilization, scalability, and real-time performance. The findings demonstrate significant improvements in network efficiency, offering valuable insights for optimizing information exchange in digital transformation processes.

100-Article

Development and Application of IoT-Based Environmental Monitoring Systems for Enhanced Ecological Management and Sustainability

Kuchkorov Temurbek, Yusupov Agzamjon, Khamzaev Jamshid

This research is dedicated to the development of a new smart environmental monitoring system in the Republic of Uzbekistan. This system provides rapid and accurate responses to changing environmental conditions by monitoring the quality of atmospheric air, water resources and soil composition. The system enables real-time observation and deep analysis of various ecological changes and weather conditions, allowing for a more accurate assessment of environmental status and the anticipation of ecological risks. Additionally, the application of this system in urban and rural areas plays a crucial role in preventing various ecological problems and managing them effectively, which assists in the planning and implementation of environmental protection measures more efficiently.

101-Article

Prospects for the development of telecommunication technologies in logistics

Malikova Nodira, Kuvnakov Avaz, Djuraev Tulkindjon

At the development of telecommunication technologies has a significant impact on the logistics industry, contributing to the automation of processes, increased efficiency and cost reduction. This article examines current trends and prospects for the application of telecommunication solutions in logistics, including the implementation of the Internet of Things ( IoT ), 5G, blockchain and artificial intelligence. The advantages, challenges and possible directions for further development are analyzed.

102-Article

Analysis of load balancing algorithm in information systems

Rakhimov Mekhriddin, Ergashev Shakhboz, Karimberdiyev Jakhongir

In this article will show comparative analysis of common load balancing algorithms. The primary purpose of load balancing analysis is to ensure that the distribution of network traffic or computing workload across multiple servers or resources is efficient, fair, and resilient. Load balancing is crucial in maintaining high availability, performance, and reliability in systems such as web applications, cloud services, and data centers. Here’s a detailed look at the key purposes of analyzing load balancing strategies. Analyzing load balancing algorithms involves evaluating their performance based on various metrics and considerations. There are several established load balancing algorithms, each with unique characteristics and suitable use cases. In this article analaysed some of the most commonly used ones.

103-Article

Development of computer modeling of the process of harmful substances dispersion in the atmosphere

Sharipov Daler, Xurramova, Ra`no

One of the actual challenges in environmental modeling, which garners quite big scientific interest, is the development of mathematical models of active aerosols propagation in the atmosphere. This paper deals with a computational model for estimating, forecasting, and visualizing the spatial and temporal evolution of active aerosol emissions propagation in the atmospheric boundary layer. The study employs numerical methods for solving gyrodynamic problems. The developed model consist the govering semi-empirical equation of air pollutants atmospheric dispersion as well as initial and mixed boundary conditions. In order to solve the stated problem there was used finite differences method and tridiagonal matrix algorithm. The problem was approximated using an implicit difference scheme. Based on the proposed computer model there were performed calculations to predict air pollution concentration over industrial regions of Uzbekistan and to optimize the placement of new production facilities, considering local specific environment conditions with the aim of minimizing the potential anthropogenic impact.

104-Article

General formulation of the optimization problem for the elements of elastic structures

Yakubov Sobir, Daminova Barno

This paper considers the classical formulation of the problem of optimal design of engineering structures. The results of solving optimal design problems determine the shapes, internal properties and operating conditions of structures that deliver the extremum of the selected characteristics of structures, taking into account additional restrictions.

105-Article

A Cyber Threat Detection Model Based on the Intellectual Integration of IoC, Log and Dark Web Monitoring Data in Cyber Intelligence Operations

Ganiyev Adukhalil, Tojimatov Dostonbek

In today`s era, as the complexity and scale of cyber threats continue to grow, traditional threat detection methods are often insufficient to ensure efficiency in real-time operations. This study proposes a threat detection model that integrates IoC (Indicators of Compromise), log files, and Dark Web data to enhance cyber intelligence operations. The model includes three main stages: data integration, threat analysis, and ensuring real-time visualization and alerting.

106-Article

ALGORITHM FOR DIGITAL PROCESSING OF SEISMIC SIGNALS IN DISTRIBUTED SYSTEMS

Kuchkarov Muslimjon

The problem of misallocation of cache lines in processors is studied based on the specific features of memory organization in multi-core and multi-processor systems of distributed systems. Incorrect allocation of cache lines leads to sequential execution of tasks that should be executed in parallel on several cores. It is difficult to determine the problem, and its presence can cause a sharp decrease in the performance of the entire system. In many seismic studies, scientists` efforts are aimed at finding reliable signs of seismic hazard. Abrupt changes in one or another parameter are called abrupt effects, emissions or anomalies, through which the principle of prediction can be implemented - this means predicting the place, strength and time of a future seismic event. The use of distributed systems in the implementation of predictions with the help of machine learning, digital processing of large volumes of digital signals, ensures fast and high-quality determination of results. To increase the speed, it is necessary to develop parallel algorithms. Synchronization of common parallel streams is necessary to solve parallel computing problems and to ignore cache memory in parallel programming.

107-Article

Integration of Cloud-Based Machine Learning Techniques and Prediction of Information and Control Systems

Jasur Sevinov, Barnokhon Temerbekova, Ulugbek Mamanazarov, Jamshid Ibragimov

The architecture of software implementation of cloud technologies with the use of predictive analytics to improve the efficiency of copper-molybdenum raw material processing in the technological process of the “MOF” of JSC "AMMC" is developed. Integration of methods of cloud technology machine learning and prediction in information and control systems on the basis of predictive analytics for optimisation of production processes of copper processing plant is formulated. A comprehensive approach is proposed including integration with industrial SCADA, MES and LIMS systems, application of phyche-engineering methods (feature generation), training of Random Forest, Gradient Boosting and LSTM machine learning models, as well as providing interactive recommendations to operators. Experimental results show a 15% reduction in the variability of grinding product coarseness, a 2-3% increase in copper recovery, and a 5-10% reduction in specific energy consumption in thermal processes of a complex MOF process plant. This approach helps to increase productivity, reduce costs and achieve technological independence by adapting predictive methods to the specifics of domestic metallurgical production.

108-Article

MYSQL-BASED MODELING AND H-INDEX COMPUTATION FOR ENHANCING BIBLIOMETRIC EVALUATION ON THE UZJURNAL.UZ PLATFORM

Nazirova E.Sh, Erkinov S.S, Khajiyev S.A.

This study presents a database-driven, algorithmic approach to evaluating the scientific impact of national journals hosted on the UzJurnal.uz platform. A relational database architecture was developed using MySQL to store and process structured bibliometric data including article metadata, citation records, authorship, and editorial workflows. IDEF1X modeling techniques were applied to visualize the relationships among users, articles, and administrative roles, enabling scalable and traceable publication management. A dedicated H-index computation algorithm was implemented to automate impact analysis, based on citation frequency and journal-level output. The system demonstrates compatibility with diverse server environments and offers extensibility for integrating additional metrics such as the G-index and i10-index. Results show that the platform can provide accurate and transparent bibliometric evaluations, fostering data-informed decision-making in national research ecosystems.

109-Article

METHODS OF BUILDING RECOMMENDATION SYSTEMS IN E-COMMERCE

Narziev Nosir Bakhshilloevich , Olimova Mukhlisa Vohidjon qizi

The purpose of this article is to study the main approaches and algorithms for building recommendation services in online trading systems. Recommendation systems optimize the sales process by identifying interesting and relevant products or services for users and offering them personalized recommendations, and serve to increase sales in e-commerce systems. In this article, the capabilities of the main techniques of recommendation systems, such as collaborative filtering, content-based approaches and hybrid models have been analyzed. A comparative analysis of the effectiveness of these methods and algorithms is carried out, their advantages and disadvantages are identified. The paper concludes by suggesting theoretical and practical frameworks for future advancements in recommender systems.

110-Article

Classification Of Earth Remote Sensing Images Using Artificial Neural Networks And Algorithms for calculation of estimates

Khudaiberdiev Mizaakbar, Bobomurod Tojiboyev, Ravshanov Anvar

This paper discusses the problem of correct classification of Earth remote sensing images using artificial neural network algorithms, estimation algorithm and quality function, development of algebraic approaches to the classification process. The use of such algorithms allows to determine object boundaries more accurately, minimize errors and increase the reliability of sensing data analysis. The developed models are aimed at solving a wide range of problems, such as environmental monitoring, vegetation cover classification and urban infrastructure analysis.This paper addresses the critical challenge of accurately classifying Earth remote sensing images by leveraging artificial neural network (ANN) algorithms. It highlights the integration of estimation algorithms and quality functions to enhance the precision and reliability of classification outcomes. The research emphasizes the development of novel algebraic approaches tailored to the classification process, enabling more effective analysis of complex image data. By employing such advanced techniques, the proposed methods significantly improve the delineation of object boundaries, minimize classification errors, and optimize the interpretation of remote sensing datasets.

111-Article

Theoretical concept of the concept of video and video

Maftuna Bekmirzayeva

As time progresses, the demand for digital data is increasing. As a graphic engineer, our task is to make a proposal that meets these requirements. We can provide information and data in various forms. The most optimal type is video. This article covers the concept, features, standards, and video quality of video. This article explores the fundamental concepts of video, its key features, industry standards, and factors affecting video quality, such as resolution, compression, and frame rate. Additionally, we discuss various video formats, their advantages, and their applications in different fields, including streaming, broadcasting, and digital marketing. The rapid advancement of video processing technologies, such as artificial intelligence (AI)-powered enhancements, real-time rendering, and high-efficiency codecs, further expands the possibilities of video usage. By understanding these aspects, we can optimize video content to meet diverse needs across different platforms and applications while ensuring high quality and efficiency in data transmission.

112-Article

Information support for solving functional issues of automated management of corporate information exchange (on the field of tax authorities)

Askaraliev Odilbek

The article studies the issues of information support for solving functional issues of automated management of corporate information exchange (on the example of tax authorities), the design of its control structure and its use in the management system. The importance of using the accumulated experience to support decision-making in the organizational management system is emphasized. In addition, relevant recommendations are developed for the implementation of intelligent support for decision-making in integrated management systems, as well as service technologies. For the efficient operation of information exchange in the automated information management system, information about the state of the managed object, the external environment and the received control effects must be correctly presented. The operation of the Unified Computer System (UCS) for Data Processing in Tax Authorities requires conditions such as the optimal volume of information coming from various control units, the distribution of information flows by time and area.

113-Article

Organizational and information support of NоSQL data structures in integrated information systems

Askaraliyev O.U., Normatova M.N.

This article presents an analysis of the organizational and information support of the NoSQL data structure in integrated information systems. For experimental studies, an architecture was developed based on virtual machines simulating the operation of a web service for data collection with a classic three-tier architecture. It was proved that differences in the structure of an unstructured database can affect the reliability and efficiency of the entire information system. The article proposes a methodology for assessing the effectiveness of the data structure of corporate information systems using the MongoDB database management system (DBMS), a methodology for information and organizational support of the database.

114-Article

Analysis of accuracy of local spline functions using analytic functions

Abduganiev Mukhriddin

After many scientific studies in the world, we can say that the use of spline functions in working with digital signals is widely used and good results are achieved. Nowadays, there are many ways to wish digital signals. Examples of them include Lagrange and Newton interpolation methods, spline function, Fourier series and exponential function approximation methods, orthogonal methods for solving systems of linear equations, discrete wavelet transforms and a number of other interpolation methods. During the research work, cubic Bezier spline function and interpolation Natural spline function were selected for equal intervals. This article describes in detail the process of interpolation of functions to approximate local cubic spline functions to given analytic functions.

115-Article

Linear programming model and procedures for the transportation problem based on fuzzy logic in data exchange between corporate management systems

Askaraliyev O.U., Mamatqulov Q.N.

The purpose of the study is to develop mathematical methods and algorithms for taking into account the uncertainties of the initial parameters when solving the transport problem in the exchange of information between corporate information systems. The research methods are based on the use of linear algebra, mathematical statistics and linear programming. Numerical modeling methods were used in the work to verify the performance of the proposed solutions. The mathematical expectation matrix and the covariance matrix are considered as such parameters. The covariance matrix characterizes the distribution of the initial parameters of the problem, which ultimately leads to a difference in the cost of transporting goods from the planned values. The presence of random parameters in the considered formulation of the problem is considered as a risk. The article presents a mathematical formulation of the problem, in which the optimization criterion is risk, and the total cost of transportation is taken into account as an additional constraint in the problem statement. For any selected value of the total cost, it is possible to estimate the probability that the random variable will fall into a certain interval. The article considers an example of solving the transport problem in the proposed formulation, taking into account the uncertainty of the initial values. A statistical assessment of the probability of the obtained solutions is given.

116-Article

Numerical Simulation of Non-Stationary Heat Conduction in Axisymmetric Bodies

Polatov Askhad, Sapayev Shikhnazar, Matyakubov Marks

The distribution of the temperature field of elements of three-dimensional structures is examined in the article and the influence of non-homogeneities on the temperature field in three-dimensional axisymmetric structures is studied. Based on the variational formulation of the problem, a finite element model for solving axisymmetric problems of heat distribution in three-dimensional bodies was built based on the finite element method; a computational algorithm of the solution and the software were implemented. Shape functions corresponding to linear triangular elements are used in the finite element solution to the problem. They ensure its continuity at the boundary with neighboring elements since this distribution is linear along any side of the triangle and with the same change in value at the nodes, the same changes will occur along the entire inner boundary. A discrete finite element mesh model is a set of parameters that consist of the total number of finite elements and mesh nodes, arrays of their node coordinates, and node numbers of finite elements. To verify the reliability of the results obtained, a computational experiment was conducted, related to the study of the effect of the increase in the number of finite elements on the convergence of solutions. Analysis of the experimental results confirms the numerical convergence of temperature values as the finite element mesh is refined. At the initial stage of the study, the influence of temperature distribution for homogeneous structural elements was studied.

117-Article

Numerical Modeling Of Boundary Value Problems For Parabolic Differential Equations

Nematov Abdugani, Sadikov Rustam, Bakhriddinov Akbar.

This article examines numerical methods for solving boundary value problems for parabolic differential equations, which are widely used in modeling physical processes such as the filtration of oil, gas, and water in porous media, as well as heat transfer processes. The primary focus is on the differential-difference method, which is characterized by its high accuracy and ease of programming. The theoretical aspects of the method are presented, including algorithmic implementation, the use of the differential sweep method, and an analysis of the stability of the computational process. Special attention is given to the advantages of the differential-difference approach, such as the ability to automatically fulfill internal conditions during phase transitions, ensure absolute computational stability, and simplify programming. The article also describes the solution algorithm, which includes a longitudinal-transverse scheme that enables efficient problem-solving using parallel computations. Additionally, numerical calculation results are provided, including comparisons with analytical solutions that demonstrate the method's high accuracy. It is shown that the developed algorithms can be easily adapted for solving other classes of problems, making them a universal tool for numerical modeling in computational mathematics. The conclusions are supported by graphical results and error analysis, confirming the reliability of the proposed approach.

118-Article

MODELING BUBBLE RECOVERY PROCESSES IN A VIDEO IMAGEHalimov Shahzod

Halimov Shahzod

- This study investigates the gas motion through the froth of a prototype bi-dimensional flotation cell. Using advanced video and image analysis techniques, surface velocity data obtained with a Visiofroth system were validated by comparing them with manual tracking results of bubble motion on the froth surface. Images for manual tracking were captured using a high-speed video camera. Additionally, discharge velocity profiles were analyzed as a function of froth height over the launder lip under different froth Crowder angles and superficial air rates. An increasing froth discharge velocity from the lip level to the top of the froth was observed. Air recovery was estimated using the velocity profile and compared with values derived from surface velocity estimation. Results indicated differences from 24% to 47% in air recovery when froth flow area at the lip was considered. However, both approaches displayed similar trends under varying JG and froth Crowder angles. Using top-of-froth velocity alongside the froth flow area at the Visiofroth location resulted in air recovery values closer to those obtained from the discharge velocity profile at the lip.

119-Article

CONVOLUTIONAL NEURAL NETWORKS

Eshankulov Hamza, Fayziyev Muhriddin

this article provides an in‐depth analysis of convolutional neural networks, examining both their theoretical foundations and practical implementations. We review the historical development of convolutional neural networks, detail their architectural components, and discuss the underlying mathematical models. Experimental results are presented to demonstrate their performance in image classification and object recognition tasks. Furthermore, we compare the outcomes with previous studies, discuss limitations, and propose future research directions aimed at further enhancing convolutional neural network performance and applicability.Artificial intelligence and machine learning have advanced significantly in recent decades. One of the main reasons for this development is the successful application of deep learning methods, especially the advances achieved in image recognition, segmentation, and classification tasks using convolutional neural networks (CNNs). CNNs consist of layers that mimic the visual perception mechanism of the human brain, in which features extracted by previous layers serve as the basis for subsequent layers.

120-Article

Construction Of Higher-Order Spline Functions, Digital Processing And Modeling Of Signals, And Their Comparative Analysis

Zaynidinov Hakimjon, Bakhramov Sayfiddin, Kobilov Sirojiddin, Kuchkarov Muslimjon

In this work, numerical processing of signals using high-order spline models in the direction of the approximation theory of mathematical modeling, which plays an important role in the development of science, is considered one of the important and urgent issues, therefore, third-order, fifth-order, seventh-order Ryabenky spline models selected. We can also say that high order Ryabenky spline models are effective and reliable mathematical models in digital signal processing. As an example, the functions obtained as an experiment and the initial values of the gastroenterological signal were obtained. Approximation of gastroenterological signals and functions, numerical processing of signals by obtained values, and results of comparative analysis are presented. From the results of the comparative analysis, it was analyzed that the results obtained in this study in digital processing of signals are better approximated by the seventh-order Ryabenky spline model among the results of digital processing of signals based on third-order, fifth-order, and seventh-order Ryabenky spline functions. The higher-order Ryabenky spline functions discussed in this paper can also be used in digital processing and processing of various medical and other signals.

121-Article

MODELING GEOFILTRATION PROCESSES IN IRRIGATED CULTURAL AREAS AND SIMULATING THE WATER ABSORPTION PROCESS

Haknazarova Dilobar¸ Tadjikhodjaeva Elvira, Akhmedova Iroda, Murodullaev Bakhtiyor

In this work, a detailed analysis of the physical-geological and melioration features of the territory was carried out when modeling the geofiltration process on irrigated sown areas. Taking into account the above-ground and underground influencing factors in modeling, based on existing information models and scientific literature, a new mathematical model is proposed. In this process, special attention was paid to the phenomenon of mass transfer, as well as the components of velocity in the direction of the liquid flow, surface tension, and molecular diffusion processes were introduced, and a mathematical model was formed. Based on the proposed mathematical model, effective computational algorithms have been developed, and a software package for predicting groundwater levels has been created using them. This software package is aimed at accurate modeling and forecasting of geofiltration processes and includes a number of complementary software tools. Computational experiments were conducted, and the results of the experiments were analyzed. These results are aimed at a deeper study of geofiltration processes and ensuring optimal regulation of groundwater levels during irrigation. The data obtained through computational experiments carried out using the software package confirmed the effectiveness of the process and showed that this process can be used to improve melioration conditions and predict groundwater levels.

122-Article

Defuzzification of Intuitionistic Fuzzy Sets and its Application

Charos Khidirova, Alevtina Muradova

This paper presents a comprehensive study of defuzzification methods designed specifically for intuitionistic fuzzy sets (IFS), which extend traditional fuzzy sets by incorporating an additional dimension of uncertainty – hesitation. The research analyzes and compares three main classes of defuzzification techniques: centroid-based, score function-based, and hesitation-driven methods. Each approach is evaluated in terms of its ability to transform fuzzy data, described by membership, non-membership, and hesitation degrees, into meaningful crisp outputs that support more accurate decision-making. A significant contribution of this study is the application of the centroid-based defuzzification method in the medical domain, specifically for cardiovascular disease prediction. The paper outlines a framework where patient data is modeled using IFS and converted into a single risk score, enhancing clinical decision-making by quantifying uncertainty in diagnostic parameters. The results demonstrate that incorporating hesitation into defuzzification processes can yield more nuanced, reliable outcomes compared to traditional methods. The findings underscore the importance of selecting appropriate defuzzification strategies depending on the decision context and highlight the potential for applying IFS-based models in other complex and uncertain environments. The paper concludes with suggestions for future research, including hybrid techniques and broader applications in decision-support systems.

123-Article

Development of models for punctuation analysis of Uzbek language texts

Maksud S. Sharipov, Hushnudbek S. Adinaev

Punctuation analysis holds an important place among natural language processing (NLP) tasks. The Uzbek language is considered a low-resource language in the field of NLP, and to date, no punctuation analysis system has been developed specifically for Uzbek texts. In this work, we present IDEF0 and IDEF1X models for a punctuation analysis system tailored to the Uzbek language. The architecture of the proposed system is outlined, with its functionality described using the IDEF0 model and the relationships between objects illustrated through the IDEF1X model. A rule-based system for Uzbek punctuation has also been developed. In this article, an algorithm for punctuation analysis of Uzbek language texts is also proposed. A rule-based algorithm has been developed to solve the problem of determining whether punctuation marks in sentences of Uzbek texts are correctly or incorrectly used, and a rule base has been created. During the execution of the algorithm, the program also refers to words in the noun category, so a database of words belonging to the noun class has also been developed

124-Article

CREATING OPEN-CORRES PARALLEL CORPUS BASES FOR MACHINE TRANSLATION

Nazirova Elmira, Abidova Shakhnoza, Uzakova Mamura, Usmanova Kamola

This study focuses on the development of an open-source parallel corpus database for machine translation among the Uzbek, Turkish, and Karakalpak languages, which all belong to the Turkic language family. The paper presents the linguistic and technological aspects of creating an open-platform translator, incorporating lexical and terminological databases, and highlights the importance of a constantly evolving terminological base for the Uzbek language. Through the use of linguo-mathematical models, the research analyzes complex word formation in agglutinative languages and proposes a functional software interface that supports accurate translation based on morphological structure. The translation model includes modules for corpus selection, data cleaning, lexical resource integration, and machine learning. Practical implementation and testing of the "Parallel Translator" program demonstrate its ability to analyze and translate complex word forms effectively, contributing to the advancement of computational linguistics and machine translation for underrepresented languages.

125-Article

Algorithm and program for solving the gas filtration problem in dynamically interconnected porous media

Normakhmad Ravshanov, Аbdugani Nematov, Shikhnazar Ismailov, Mohiniso Mahmudova

This article examines the mathematical modeling of the thermal impact process on an oil reservoir when water vapor is pumped into it. The problem of heat propagation in a porous medium is being investigated, taking into account heat losses through the roof and bottom of the layer, which leads to a more realistic description of temperature fields. The model is based on a system of differential equations with phase transitions and takes into account the thermal anisotropy of rocks. Numerical methods using finite-difference schemes and the distillation method were used to solve the Stefan problem. A computational experiment was conducted, the results of which showed a significant influence of heat loss on the temperature field and the efficiency of oil displacement. The obtained data were compared with previously developed models, key differences were identified, and refined calculation approaches were proposed. The work has applied significance for increasing the oil recovery of highly viscous oil reservoirs.

126-Article

TECHNOLOGICAL PROCESS MODELING COMPLEX WITH AN INTELLIGENT IDENTIFIER FOR PETROCHEMICAL ENTERPRISES

Siddikov Isamiddin, Akmal Ganiev

This paper examines the challenges of creating a modular intelligent complex designed to monitor and analyze process parameters at petrochemical enterprises. The primary aim of the development is to ensure a high level of automation in the production process control and to support informed management decisions in real-time. To achieve these objectives, a virtual analyzer that links the identifier and the knowledge base is proposed. The virtual analyzer enables intelligent processing of input data and generates recommendations based on accumulated information and statistical models. The identifier, in turn, develops mathematical models of technological processes using statistical data obtained during production activities. This allows for the adaptation of the model to the specific operating conditions of the control object. The decision-making system is implemented based on predictive analytics, which forecasts the behavior of the control object under various operating scenarios. This approach allows for the timely identification of possible deviations in the operation of process units and suggests corrective measures considering a priori information about the object and historical data. Implementing the proposed modeling complex in the production of petrochemical enterprises significantly enhances the efficiency of technological unit management. This is achieved by improving forecasting accuracy, reducing the influence of the human factor, and swiftly responding to changes in production process parameters. Thus, the system ensures the sustainability, reliability, and economic efficiency of enterprise operations in the industry.

127-Article

MATHEMATICAL MODEL FOR EVALUATION OF TRILINGUAL ELECTRONIC TRANSLATION

Nazirova Elmira, Abidova Shakhnoza, Uzakova Mamura, Boymurodov Farrukh

The paper considers the issue of improving the mathematical model for a hybrid method of machine translation evaluation. Today, electronic translation remains a popular tool. The development of technologies and adaptation to linguistic and cultural features makes it indispensable in education, business and everyday life. The scientific article is devoted to the study of improving the model for evaluating electronic translation. The authors paid special attention to the analysis of existing methods for evaluating electronic translation, such as BLEU, METEOR, ROUGE was improved on the basis of which a new mixed model for evaluating electronic translation. An exact, also given example of calculating the assessment with an incoming text in the Uzbek language, which is translated into the Kyrgyz and Karakalpak languages. As a result, assessments were obtained using the METEOR, ROUGE methods. In addition, digital results of evaluating electronic translation based on the hybrid method were obtained. An analysis of the comparison of the translation platforms GOOGLE Translate, PROMT, Yandex and DEEPL after the implementation of the above methods is given.

128-Article

Development of a time synchronization method for climate monitoring system data based on sensor fusion method

A.T.Babajanova

This article analyzes articles on sensory synthesis data fusion methods. A block diagram and an algorithm for processing data received from sensors are presented. The problem of integrating measured data is investigated and a method of temporal data integration is proposed. For synchronous operation of meteorological data, time cycles for measuring meteorological parameters are provided. The main task of a special-purpose weather station is to assess the influence of weather parameters on the spatial motion of the corresponding object and determine the forecast coordinates. The measurement time t of the sensors used to measure atmospheric parameters is different, and the measurement period of the sensors used for the system does not end at the same time. This problem reduces the accuracy of the data in systems performing special tasks. In this article, a method and algorithms for obtaining θ data for the period at the end of the sensor measurement time and processing sensor data are developed to increase the accuracy.

129-Article

THE POTENTIAL OF VIRTUAL AND AUGMENTED REALITY TECHNOLOGIES FOR THE PROMOTION OF LITERARY TOURISM IN UZBEKISTAN

Artikova Muazzam, Eldor Sayfiyev, Fozil Jo‘raboyev

The article explores the potential of virtual reality (VR) and augmented reality (AR) technologies in the context of developing literary tourism in Uzbekistan. It presents a project aimed at creating a digital resource that comprehensively reflects the country's literary heritage through the development of a multilingual electronic platform and a mobile application based on VR and AR technologies. The study examines both conceptual and practical aspects of the digitalization of literary heritage, focusing on the creation of the "Literary Guide" electronic platform. The paper outlines technological solutions, including the implementation of virtual tours and the integration of marker-based and spatial AR technologies, and identifies key literary landmarks—specifically, the house-museums of prominent writers in Tashkent and Samarkand—covered by the project. The importance of innovative digital tools is emphasized for the promotion of cultural assets, enhancement of tourist experiences, and stimulation of post-pandemic development in the tourism sector. The results presented may serve as a foundation for further research and the adoption of similar initiatives in the field of cultural tourism.