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Articles 1 - 8 of 8
Full-Text Articles in Engineering
Smart System For Wheat Diseases Early Detection, Rustam Baratov, Himola Sunnatillayeva, Almardon Mamatovich Mustafoqulov
Smart System For Wheat Diseases Early Detection, Rustam Baratov, Himola Sunnatillayeva, Almardon Mamatovich Mustafoqulov
Chemical Technology, Control and Management
This paper presents a smart system for early detection of wheat plant diseases in the vegetation period. The proposed smart system allows detecting three types of wheat diseases, particularly yellow rust, powdery mildew and septoria at early stage and significantly improves the soil and ecology by locally spraying harmful chemicals just to sickness plants. The proposed diagnostic program is created in the C++ programming language. The basic structure of the smart system consists of Raspberry PI 4 MODULE, Logitech HD Pro Webcam C920, buzzer, HC-SR04 distance sensor, DC motor driver, AC motor, power supply, relay and some digital devices.
Current Issues Of The Use Of Artificial Intelligence In The Activities Of Customs Authorities, Jasur Usmonovich Sevinov, Gayrat Rustamovich Khamroev
Current Issues Of The Use Of Artificial Intelligence In The Activities Of Customs Authorities, Jasur Usmonovich Sevinov, Gayrat Rustamovich Khamroev
Chemical Technology, Control and Management
Presents effective methods and solutions to eliminate errors caused by the “human factor” (fatigue, neglect, etc.) as a result of the creation and improvement of automated systems based on artificial intelligence, distinguishing features such as commodity group, weight, dimensions, etc. in relation to goods under customs control. The use of artificial intelligence in customs activities allows: to increase the speed of performing tasks set before customs authorities by increasing productivity, without attracting additional personnel; to eliminate errors caused by the “human factor” (fatigue, neglect, etc.); to free employees from everyday activities and transfer it to solving mainly analytical tasks; to …
Approaches To Solving Problems Of Optimization Of Solving Monitoring Problems Based On Natural Computing Algorithms, D.T. Muhamediyeva
Approaches To Solving Problems Of Optimization Of Solving Monitoring Problems Based On Natural Computing Algorithms, D.T. Muhamediyeva
Chemical Technology, Control and Management
To find approximate optimization solutions, many algorithms are used, seven of which are considered in this work: fuzzy sets, artificial neural networks, genetic algorithm, ant algorithm, particle swarm algorithm, DNA computation, and a new approach based on artificial immune systems (IIS). All these methods belong to the direction of "natural computing", ie. model certain biological processes, the algorithms of which nature has created for millions of years. It should be noted that the efficiency of one or another algorithm depends on the characteristics of the initial data of the problem, so it is impossible to unambiguously determine which of the …
Analysis Of Information Security Methods In Biosystems And Application Of Intelligent Tools In Information Security Systems, Sherzod Sayfullaev
Analysis Of Information Security Methods In Biosystems And Application Of Intelligent Tools In Information Security Systems, Sherzod Sayfullaev
Chemical Technology, Control and Management
In this paper, the methods of information protection in bio systems are studied. The paper considers the use of intelligent tools in information security systems and the use of adaptive information security systems. Several articles on the field of information protection in bio systems are analyzed. Disadvantages and advantages of neural network technologies in modern information security systems are described. The characteristics of bio systems and the specificity of DNA, the main features of the DNA code that provide information security and functional stability of bio systems data protection structure. Application of intelligent tools to create a comprehensive adaptive protection …
Neuro-Fuzzy Modeling For Predictive Control Systems With Complex Technological Processes And Production, Yusupbekov Nodirbek, Shukhrat Gulyamov, Malika Doshchanova
Neuro-Fuzzy Modeling For Predictive Control Systems With Complex Technological Processes And Production, Yusupbekov Nodirbek, Shukhrat Gulyamov, Malika Doshchanova
Chemical Technology, Control and Management
The paper implements a modification of a fuzzy neural network, which is suitable for predictive control purposes. Adaptation of a multidimensional programmable controller based on a neural algorithm for the back propagation of forecasting errors is proposed, as well as neural parametric identification of a fuzzy mathematical model of complex technological processes and production based on experimental data and expert estimates.
Fuzzy-Multiple Tasks Of Multicriterial Optimization In Risk Conditions ., T.F Bekmuratov, D.T Mukhamedieva
Fuzzy-Multiple Tasks Of Multicriterial Optimization In Risk Conditions ., T.F Bekmuratov, D.T Mukhamedieva
Chemical Technology, Control and Management
Approaches to solving the optimization problem and solving a fuzzy multicriteria optimization problem under risk conditions are considered. To assess risks in fuzzy conditions, it is proposed to supplement the system of constraints of a standard decision-making task with a set of restrictions on possible losses, namely, for selected scenarios, to build a model of their consequences (damages) as functions of control parameters and impose expert limitations on an acceptable level of relative damage for each scenario.
Construction Of Fuzzy Risk Assessment Models., T.F Bekmuratov, B.T Solieva
Construction Of Fuzzy Risk Assessment Models., T.F Bekmuratov, B.T Solieva
Chemical Technology, Control and Management
The tasks of making decisions on risk assessment, depending on the conditions of uncertainty, are divided into two types: decision-making tasks under conditions where the initial data are stochastic; decision-making tasks under conditions when the initial data are of a non-stochastic nature, and the necessary confidence limits for the parameters of the processes under investigation are unknown or unclear. In problems of the second type, risks are manifested to a greater extent than the first, since in solving problems it is necessary to take into account not only statistical uncertainty, but also linguistic. At the same time, one should consider …
Method Of Solving Incorrect Tasks Formed By Construction Of Fuzzy Models Assessing The Weakly Formallized Processes., D.T Muxamediyeva, X.A Primova
Method Of Solving Incorrect Tasks Formed By Construction Of Fuzzy Models Assessing The Weakly Formallized Processes., D.T Muxamediyeva, X.A Primova
Chemical Technology, Control and Management
The article examines the improvement of the method for obtaining a fuzzy and fuzzy-stable solution to incorrect problems arising in the construction of a model for estimating the state of weakly formalizable processes using various membership functions based on the theory of fuzzy sets. The proposed method makes it possible to construct a correct fuzzy model of weakly formalizable processes.