All articles - Automation and Control Systems

Number of articles: 83
  • Actually and relevance of the subject of dissertation. The present in the world providing the population with safe food and the satisfaction in desired level for product nutrition needs is food industry. Therefore, the stable development of the production of local food and raw materials, delivery on the market of safe and quality nutritive on consumption rates in the established range is a basic task.
    After acquisition of independence in the country food industry has been formed working on high technology, which is currently being converted into one of the leading sectors of the economy. It is assimilated that ensure of food safety, the completion of the internal market with high quality food, modernization of production, paid that special attention to the launch of new capacities to production of import-substituting products. Stimulation of the modernization and diversification of production, as well as support of the implementation of these arrangements ensures the growth of production of food products.
    Production of qualitative food products at the global level, including refining of cottonseed oil using kaolin and bentonite adsorbents, focusing on the development of new approaches of their activation and modification is considered an important task carried out in the direction of scientific research for technology creation of novel adsorbents with high quality of their adsorption properties. When development of activation technology coal, kaolin, and bentonite that have low adsorption properties is necessary to justify appropriate in this area a number of scientific solutions: development of effective methods of thermal activation of kaolin raw materials; setting changes the composition and properties in the process of activation and modification of selected bentonite and coal; creating effective compositions of activated clay and coal-alkali adsorbents for refining heavy bleached cotton oil and increase of the efficiency of the bleaching process.
    The present dissertation research serves to a certain extent performance of the tasks provided for in the Decree of the President of the Republic of Uzbekistan № UP-4707 on March 4, 2015 «About measures for structural reforms, modernization and diversification of production in 2015-2019» and the Decree of the Cabinet of Ministers of the Republic of Uzbekistan №8 from 01.22.2015, «On additional measures to decumulation of costs and reduce of production costs in industry», and other normative and legal documents related to the work and its practical implementation.
    The research objective is development of novel coal-alkali and clay adsorbents based on local raw materials and the improvement of treatment technology of press and the extraction cotton oil with their application.
    The scientific novelty of the thesis research is as follows:
    there have been developed the conditions for obtaining effective coal-alkali adsorbent by pre-soaking the Angren coal low ash 2BPK brand by Na2CO3 solution and further it heat treatment by pyrolysis without air;
    It found that activation-Sultan Uvaysk kaolin by microwave radiation in compared with a conventional (convective) heating process accelerates in 2.0-3.0 times;
    It found that by activating enriched in calcium bentonite from «Jahon» deposits replacement of the traditional sulfuric acid (H2SO4) in the hydrochloric acid (HC1) allow to improve the bleaching ability of the resulting adsorbent in 1.2 times;
    for the first time there has been created the possibility of reduce of saponification of the neutral fat and the alkaline reagent consumption during the refinement cottonseed oil to use cheap water solution of Ca(OH)2 instead of conventional expensive NaOH solution;
    for the first time there has been revealed the purification of carcinogenic 3,4-benzo [a] pyrene and hydrocarbon residues from the extraction cotton oil by developed coal-alkali adsorbent;
    there have been developed the novel effective composition technologies based on coal-alkali and clay adsorbents establishing their selective properties for the harmful and carcinogenic substances containing in the cotton oil;
    there has been developed the technology of a two-step refining and bleaching of cotton oil at recycled flow of mixture oil with adsorbent.
    CONCLUSION
    1. Based on analysis capacity, as well as the composition and properties of raw materials in Uzbekistan there have been identified the perspective deposits of coal and clay (kaolin, bentonite and palygorskite) minerals suitable for the industrial production of adsorbents for cleaning and bleaching of vegetable oil.
    2. In order to obtain highly porous coal-alkali adsorbents it has been suggested that Angren coal to impregnate it with 10% Na2CO3 solution before its pyrolysis no oxygen.
    3. To improve the alkaline properties of the coal-alkali adsorbent recommended after pyrolysis impregnate with 10% NaOH solution with further by drying and grinding to the desired granule composition.
    4. It has been found that acid activation of bentonite with high (greater than 3% by weight) CaO content in order to avoid the formation of significant amounts of gypsum, it is rationally to use a 10% solution of hydrochloric acid instead of conventional sulfuric acid.
    5. There has been established that replacement convection heating using microwave (MW) radiation at a frequency 2450 MHz allows to increase sorption activity in 1.2-1.4 times and reduce the time of thermal activation of Sultan Uvaysk kaolin in 2-3 times (depending on the kaolin wet).
    6. There has been the way of alkaline refinement of dark-colored cotton oil providing replacement high-priced caustic soda (NaOH) at low cost limestone milk that considerably reduces of neutral fat saponification decrease and increases outlet refined oil in 1.2 times.
    7. There have been developed the optimal conditions for the removal of carcinogenic 3,4-benzo pyrene and remnants of hydrocarbons from extraction oil on the modified coal-alkali adsorbents.
    8. There have been developed the technologies of coal-alkali, kaolin, and bentonite adsorbents for refining press and extraction cotton oil.
    9. Selective properties of the developed clay and clay-alkali adsorbents based on that are created the effective compositions for cleaning and bleaching heavy bleaching cotton oil have been found.
    10. The technology of the two-stage adsorption treatment and bleaching cotton oils at thermo differentiated and recirculating flow of oil with the adsorbent has been developed.
    11. It is shown that the economic effect of the introduction of only bentonite adsorbents based on deposits «Jahon» at JSC «Beruniy yog-gar» for refining and bleaching cotton oil is 169.4 million sums per year.

    Dilnoza Salikhanova
    1-71
    51   17
  • The aim of the research work is development of efficient design of working details and mechanisms of saw gins.
    Scientific novelty of the research work: effective and resource efficient constructions of saw gin mechanisms have been developed; analytical method of indication of law for motion of rotor drive and saw gin beam has been developed; estimation method of random reflection from cotton and support with non-linear stiffness is calculated; the rule of oscillating motion on resilient support is identified with analytical method; active parameters are developed; a method of friction decrease between short fibers and saw gin mechanisms is developed.

    Salokhiddin Yunusov
    1-56
    59   10
  • The aim of research work is the working out the plans controlling measurements’ on the base of cotton plant growth, and development arising of cotton moth, development forecasting of distribution and systematization of automatic monitoring.
    Scientific novelty' of the research work:
    development of cotton moth and monitoring system of distribution have been worked out the first time and improved biological controlling method on this base;
    determination methods, of developing phases of cotton plant, depending upon useful temperature volume have been worked out;
    phenological calendars of cotton moth developing phases through interring of clearness into their development terms have been arranged, determinated development, distribution and damaging affect rates depending on the climatic condition;
    planning norms of needs on the protection for agrochemical crops from cotton moth have been worked out;
    an information -advise system on «Plant protection» is working at the mobile telephones for farmer farms in the type of «Android», pronouncing of pests, diseases, their biological features, damaging affect and controlling measures against then has been worked out.

    Khuriyatkhon Abdullaeva
    1-38
    26   5
  • The aim of the research work is the development of scientific foundations for the development and controlling of automated technological equipment on aerodynamic action for increasing production efficiency.
    Scientific novelty of the research work Calculation and design of automated technological equipment for the aerodynamic action of finishing and hardening processing of cylindrical parts and developing of fundamentally new devices for loading flat products, transferring aggressive media, transporting small piece products and installing rivets into a hole with a vertical and horizontal axis..

    Shukhrat Fayzimatov
    1-62
    29   3
  • Ushbu maqolaning maqsadi elektron hukumatning davlat boshqaruvi tizimidagi o‘rni, uning qarorlar qabul qilish jarayonlariga va davlat organlari va fuqarolarning o‘zaro hamkorligiga ta’sirini ko‘rib chiqishdan iborat.
    Ne’matillo Yusupov , Xojimuxammad Xasanxonov
    104-106
    32   20
  • The aim of the research work is to develop recommendations and proposals for improving the processes of effective organization of the functioning of integrated information systems in the activities of the treasury bodies.
    Scientific novelty' of the research work consists of the following provisions: improved stages of input, processing, analysis and presentation of primary data on the basis of expanding the functional capacities of integrated information systems of treasury bodies;
    improved econometric models of the processing of financial and economic information in integrated information systems of treasury bodies, which allows the transition from disparate data sets for the execution of budgets accumulated in the offices of the republican treasury and located throughout the country, to unified databases;
    the methodology for implementing treasury integrated information systems in the context of the formation of a single information space based on «Electronic Government» platform is improved;
    proposed the technology for effective information interaction of the integrated information system of the treasury with informational systems of government, which allows to avoid duplication of functional operations in business processes of transfering reports and directories from one database to another republican treasury.

    Sardor Umurzakov
    1-54
    19   6
  • The aim of the research work is to develop an encrgy-resourcc-saving tool for quality loosening, removal of weeds and soil crusts on ridges, and also to form a mulching layer on their surfaces.
    The scientific novelty of the study is as follows:
    the constructive scheme of the tool for complete processing of ridges is developed and the technological process of work is grounded;
    the design of a rotary ripper for the destruction of weed vegetation and the quality loosening of the soil on the slopes of the ridges have been developed;
    on the basis of analytical dependencies, describing the processes of processing the loosening paw of the bottom of the furrow, the rotary ripper of the ridge of the ridges, and the tooth ripper of their apex, their optimal parameters have been determined;
    the uniformity of the processing of the tooth ripper is substantiated depending on the position of the longitudinal traction of the parallelogram mechanism to which it is mounted.

    Khurshed Abdulkhaev
    1-44
    0   0
  • The research aim is to develop agrotechnological means by improving seeding timing and planting rate to achieve higher emergence and survival rate of sprouts, qualitative and quantitative yields of Iskandar and Ilgor rice varieties in conditions of meadow-boggy soil type of the Tashkent region.
    The scientific novelty of the research is as the followings:
    optimal seeding rate and timing of the new Iskandar and Ilgor varieties of the medium duration rice were developed for the first time in conditions of the meadow-boggy soil type of the Tashkent region;
    influence of seeding rate and timing on rice emergence and plant population depending of external factors (air temperature and sunshine duration) was explored;
    impact of seeding rate and timing on duration of inter-stage periods, development of productive stems and leaf area, net productivity of photosynthesis, aboveground biomass accumulation of the Iskandar and Ilgor varieties of the medium duration rice was determined;
    influence of seeding rate and timing on the crop components, yield and rice quality was defined;
    High and positive correlations between seeding rate/timing and leaf area index/rice glassiness were found.

    Chulpanoy Kashkabaeva
    1-43
      
  • This research paper is devoted to the problem of classifying pathologies in renal computed tomography images using deep neural networks, where not only binary classification such as «normal/pathological» but also complex differential diagnosis issues between pathologies arc analyzed. The paper also proposes a combinatorial approach to classifying pathologies, in which it is shown that initially making a general diagnosis using a four-class classification model, and in doubtful cases, additional examination using binary or ternary models is acceptable for clinical practice.
    Narzullo Mamatov, Islomjon Juraev, Barno Abdullaeva
    268-271
      
  • The article is devoted to solving the problem of selecting precedent objects, which is an important aspect of multi-clustering in pattern recognition and classification processes. A new algorithm for selecting precedent objects, taking into account the space of nominal and numerical features, is proposed. This algorithm ensures accurate, robust, and transparent data classification, enhancing the effectiveness of analytical decision-making, especially in medical diagnostic processes.
    Akhram Nishanov, Fayzulla Ollamberganov, Umidjon Odiljonov
    280-283
      
  • This article discusses methods for automating communication between healthcare workers and patients. An integrated communication platform is proposed, outlining its key advantages and the mathematical modeling basis.
    Nursultan Sagidullaev
    12-14
      
  • This article covers the basic concepts of the Python programming language in a simple and understandable way. The article explains the capabilities, syntax, and practical uses of the Python language for new users with consistent and clear examples. The article also provides information about Python’s "pythonic" - that is, its unique and recommended writing style. The material is intended for students, students, and independent learners who are just starting out in programming.
    Bahoroy Rizayeva
    15-19
      
  • This article discusses methods of organizing online classes aimed at developing students’ language skills. It reveals the advantages of using online platforms for learning a language and the methodology used in such classes.
    Xulkar Alimkulova
    36-38
      
  • This article examines the role and importance of artificial intelligence (Al) technologies in the digitization process of archival documents in Uzbekistan. Digitizing archival records ensures their preservation, facilitates their processing, and enhances public accessibility. The article provides an overview of the information systems introduced by the “Uzarchiv” Agency and explores how Al technologies are being applied within these systems. It also presents a comparative analysis of advanced international practices in countries such as the United States, the United Kingdom, South Korea, China, and other European nations, focusing on legal frameworks, digital infrastructure, and the integration of Al in archival management. The article concludes with practical recommendations for the development of the archival digitization system in Uzbekistan.
    U Yusupov
    39-41
      
  • In today’s interconnected digital landscape, ensuring timely and secure dissemination of information about local events and incidents is critical for fostering community engagement. This article presents the development of an Android-based mobile application designed to provide real-time updates on local events while incorporating robust security measures such as data encryption, user authentication, and secure database management. Built using Android Studio and Firebase, the application offers features like event listing, real-time chat, and push notifications, all tailored to the cultural context of Uzbekistan.
    Temur Turdiyev, Jaloliddin Omonbayev
    52-57
      
  • This article discusses the increasing role of Artificial Intelligence (Al) in English language education, highlighting its benefits and potential drawbacks. Three main purposes of Al in education have been outlined. Moreover, practical examples such as ChatGPT, Mentimeter, Gencraft, and Aspose Grade calculator are used to illustrate how Al is transforming teaching and learning processes. While acknowledging the advantages of Al in providing personalized learning, creating engaging materials, and automating assessment, the text also emphasizes the importance of critical thinking, teacher guidance, and responsible Al use. The conclusion stresses that Al is no longer a futuristic tool but a present-day resource, and educators must equip students to use it wisely and ethically.
    Diana Tashanova
    97-100
      
  • This article examines the impact of digital technologies and artificial intelligence on logistics between Russia, China and Uzbekistan. The theoretical and practical aspects of Al application in logistics systems are described, as well as the possibilities of optimizing processes, increasing efficiency and reducing costs are analyzed. The strategic importance of logistics for the development of the economics of these countries in the context of globalization is emphasized.
    Dinara Abdurasulova
    136-139
      
  • This paper investigates the impact of interpolation methods applied to multispectral images in pansharpening techniques aimed at enhancing spatial resolution. Specifically, interpolation methods such as nearest neighbor, bilinear, bicubic, and Lanczos were employed within the IHS, Brovey, PCA, Gram-Schmidt, and BDSD pansharpening approaches. These methods were compared in terms of their ability to preserve spatial details and reduce spectral distortions. Experimental evaluations were conducted using image quality assessment metrics including ERGAS, SAM, SS1M, and QAVE. The results indicate that bicubic and Lanczos interpolation methods provided the best performance in improving image quality.
    O Yusupov, Sh Eshonkulov
    151-154
      
  • The article develops a mathematical model describing the processes of nonlinear filtration of groundwater in multilayer heterogeneous porous media that affect the flow of groundwater and the transport of pollutants.
    Normakhmad Ravshanov, Kamola Shadmanova
    159-161
      
  • This paper considers unsteady groundwater flow in a system of three aquifers. The hydrogeological structure consists of a highly permeable main aquifer, a poorly permeable interlayer, and a capping layer. The calculations take into account infiltration, evaporation, vertical and horizontal drainage, and interaction with underlying aquifers through the intermediate layer. Finite-difference approximation of differential equations is used to solve the problem.
    Marat Karimov
    165-168
      
  • The paper presents a comparative analysis of machine learning algorithms applied for the early diagnosis of oncological diseases. The paper examines algorithms such as Random Forest, XGBoost, AdaBoost, and others, tested on various clinical tasks including cervical, lung, and skin cancer. Special attention is given to ensemble methods, which demonstrated the highest accuracy, particularly the Random Forest algorithm. The study emphasizes the versatility of the methods, their adaptability to heterogeneous medical data, and their potential for developing intelligent clinical decision support systems.
    Charos Khidirova
    188-194
      
  • With the help of modem technologies and big data technologies, it is also becoming difficult to implement large volumes of texts in the Uzbek language. Training language models from large corpora, extracting meaningful information from real-time chats, semantic indexing of texts and creating search engines are all now implemented through the integration of platforms such as Hadoop, Spark, NoSQL, Kafka and Elasticsearch.
    Mastura Primova
    197-200
      
  • This work is dedicated to exploring the application of machine learning (ML) in transforming business processes within the digital economy. The study examines the potential of ML algorithms for automating management, forecasting key performance indicators (KPIs), and optimizing resource allocation. The article provides a detailed overview of theoretical foundations, the methodology for developing software solutions, and the results of experiments conducted on real-world data from logistics and e-commerce. Examples of using linear regression, random forest, gradient boosting, and neural networks are presented, demonstrating their effectiveness in enhancing productivity and reducing costs. The work emphasizes the strategic role of ML as a tool for achieving competitive advantages and suggests directions for further research in adapting these technologies to various industries.
    Javokhirbek Esonov, N Egamberdiev
    219-224
      
  • The article describes the state of development of small business and private entrepreneurship and the factors affecting it, the socio-economic aspects of the development of the sector and the evaluation of structural changes.
    Otabek Arzikulov, Zafar Mamatkulov
    228-230
      
  • One of the most important tasks is to constantly monitor changes in the greenhouse. If the greenhouse is small, we can manage it with one worker. But if the greenhouse is large, then its monitoring and management require a lot of time and human resources. Working in a greenhouse involves not only managing it, but also performing certain operations, such as: ventilation, water distribution, harvesting ripe crops, spraying chemicals against pests, etc. To automate and intelligently analyze these tasks, this paper considers a model of an agricultural robotic manipulator for a greenhouse.
    I Karimov
    231-233