Building a model of recognizing operators based on the definition of basic reference objects

Kamilov, Mirzoyan; Fazilov, Shavkat; Mirzaeva, G. R.; Gulyamova, Dilfuza; Mirzaev, N. M.

doi:10.1088/1742-6596/1441/1/012142

Cited by 14 publications

(6 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At that, a particular attention is paid to the modeling of various subsystems in the automation of the agricultural sector. These problems are well studied in various branches of science and technology: in modeling in geomechanics [11][12][13], in solving problems of pattern recognition [14][15][16][17][18] and classification [19,20], medicine [21], in tracking objects based on a Kalman filter [22], modeling of personal identification processes [23], creating a model of an access control system [24], creating models to improve image contrast [25], when modeling predictive indicators [26] and in sports research [27], as well as in hydromechanics [29,29]. In our case, for modeling and automatic control of the agricultural sector, the PHP programming language and the MySQL database, as well as various methods of data mining [30,31], were used.…”

Section: Resultsmentioning

confidence: 99%

Automation of the Agricultural Sector of the Republic of Uzbekistan

et al. 2023

View full text Add to dashboard Cite

In the agricultural sector of the Republic of Uzbekistan, a tendency to automate production and business processes can be seen. Agriculture automation helps to significantly reduce the amount of manual labour, while increasing work efficiency. It is possible to single out the following practical advantages of introducing automation in the agricultural sector: it becomes possible to manage production, technological and business operations in an optimized and effortless manner; the competitiveness of the goods is growing through improving the quality and reducing the cost; the productivity of agricultural enterprises increases; cost minimization leads to a drop in the cost price of manufacture of products, and a manufacturing organization can offer the products at a price, which is affordable for the buyer and at the same time profitable for the manufacturing organization. The use of modern technologies for the ‘intellectualization’ of agriculture makes it possible to preserve and restore the beneficial properties of groundwater and soil; to provide environmentally safe and effective pest control; to remotely monitor compliance with the certification requirements of organic agriculture. It is necessary to automate not only production, but also business processes in the agricultural sector. The main goal is to increase the productivity of enterprises, minimize the number of errors associated with the ‘human factor,’ and reduce the amount of ‘manual labour’. The article substantiates a systematic approach to the formation of the information space of an agricultural enterprise, taking into account the needs of all participants in process management, the choice of a software and hardware platform and methods for automating the software development process.

show abstract

Section: Resultsmentioning

confidence: 99%

Automation of the Agricultural Sector of the Republic of Uzbekistan

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The course "Information technologies and mathematical modeling of processes" describes the modeling methods proposed in [11][12][13][14], modeling methods used in geodynamics [15][16][17], the original methods of pattern recognition [18][19][20][21][22][23], methods of reducing the dimension of the initial feature space for the problem of pattern recognition in relation to solving medical and other problems [24][25][26][27][28][29][30]. Also included in the course are: results of studies of the spectra of electron paramagnetic resonance and infrared rays in order to consider the possibility of changing the interfacial layer of the nanocomposite [31]; the results of electron microscopic studies of morphology and X-ray diffraction analysis of the phase composition of the nanocomposite, where it is shown that the dispersed phase mainly consists of nanoparticles of metallic copper with a size of 33.94 nm [32]; the results of studies of the frequency dependence of the conductivity of compositions based on glass and cadmium oxide [33].…”

Section: Discussionmentioning

confidence: 99%

The effectiveness of digital technologies use in higher education: a modern approach to training

Baydullaev

Tayrov

Narzullaev

et al. 2023

International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023)

View full text Add to dashboard Cite

This article is devoted to issues of digitalization of the educational system, organization and development of educational processes using digital technologies, which is one of the current problems in the educational system. The need to use digital technologies in providing distance education to students, the need to use the field of distance education and introduce new generation systems of distance education, that it is faster, easier and cheaper to learn new skills or materials related to the subject through the distance education system, is covered in detail. At the same time, the problems hindering the effective implementation of distance education using digital technologies in our country and suggestions and recommendations for their solution are given. Management of higher education processes at the Tashkent pharmaceutical institute, based on the information platform "HEMIS" and distance learning systems "Moodle LMS", a brief description of the principles of organization of online education in teaching all modules of students is presented, and its main capabilities and advantages are indicated. By studying, systematizing and summarizing the existing practice in drawing up scientifically-based conclusions on the introduction of digital technologies in higher education, suggestions are made not only on how they will take an important place in the field of education and in what form they will be introduced.

show abstract

“…Specifying the discriminant function in the two-dimensional RF subspace. In this stage, based on the generalized difference function, the discriminant function (DF) is determined in the two-dimensional RF subspace, for example, in the following form: 𝔉𝔉 τ (K j , 𝔒𝔒) = υ j 𝒟𝒟 τ (K j , 𝔒𝔒) − 𝔳𝔳 j 𝒟𝒟 τ (СK j , 𝔒𝔒), (5) 𝒟𝒟 τ (СK j , 𝔒𝔒) = ∑ ℊ u 𝑑𝑑 𝜏𝜏 (𝐸𝐸 𝑢𝑢 𝜏𝜏 , 𝔒𝔒)…”

Section: 𝐸𝐸 𝑢𝑢 𝜏𝜏 ∈K ̃Jmentioning

confidence: 99%

“…An analysis of literary sources, in particular [1][2][3][4][5], shows that the problem of pattern recognition is the focus of attention of many specialists in the field of computer science and applied mathematics. The reason is that in recent years, pattern recognition methods and algorithms are increasingly used in various fields of science, technology, production, and everyday life.…”

Section: Introductionmentioning

confidence: 99%

Recognition algorithms based on the construction of threshold rules using two-dimensional representative pseudo-objects

Fazilov,

Mirzaev,

Radjabov

et al. 2023

E3S Web Conf.

View full text Add to dashboard Cite

The development of recognition algorithms is discussed in the article; they are built using threshold rules based on representative pseudo-objects that provide a solution to the recognition problem in conditions of high dimensionality of feature space. A new approach is proposed, based on the formation of a set of two-dimensional base pseudo-objects and the determination of a relevant set of two-dimensional threshold proximity functions when constructing an extreme recognition algorithm. A parametric description of the proposed recognition algorithms is given, presented in the form of a sequence of computational procedures, the main of which are procedures for determining: 1) groups of tightly coupled features; 2) a set of representative features (RF); 3) groups of tightly coupled pseudo-objects in the RF subspace; 4) difference functions between objects in the two-dimensional subspace of RF; 5) groups of tightly coupled pseudo-objects in the RF subspace; 6) a set of basic pseudo-objects; 7) difference functions between the basic and simple pseudo-object in the two-dimensional RF subspace; 8) functions that differentiate between a pseudo-object and a class; 9) discriminant functions in the two-dimensional subspace of RF; 10) groups of tightly coupled separating functions; 11) basic separating functions in each group and 12) integral recognition operator for basic discriminant proximity functions. The results of a comparative analysis of the proposed and known recognition algorithms are presented. The main conclusion is that the implementation of the approach proposed in this study allows us to move from a given feature space to a space of RFs of lesser dimension.

show abstract

Building a model of recognizing operators based on the definition of basic reference objects

Cited by 14 publications

References 5 publications

Automation of the Agricultural Sector of the Republic of Uzbekistan

Automation of the Agricultural Sector of the Republic of Uzbekistan

The effectiveness of digital technologies use in higher education: a modern approach to training

Recognition algorithms based on the construction of threshold rules using two-dimensional representative pseudo-objects

Contact Info

Product

Resources

About