Tashkent University of Information Technologies

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Tashkent University of Information Technologies named after Muhammad al-Khwarizmi is an educational institution that provides students with the academic knowledge necessary to become highly qualified specialists and actively shape the future of our country. The wide range of subjects offered by the university provides students with a modern education and, in turn, represents a solution to social and global challenges. Continuing education lays the foundation for lifelong exploration. The concept of innovation is seen as an important basis for the continuous improvement of the university. The university strives to maintain the quality of education at the level of world requirements, providing continuous training for teachers by supporting dialogue between teachers and students.

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Now showing 1 - 9 of 9

Citation Count: 2
Clustered Routing Using Chaotic Genetic Algorithm With Grey Wolf Optimization To Enhance Energy Efficiency in Sensor Networks
(Mdpi, 2024) Khujamatov, Halimjon; Pitchai, Mohaideen; Shamsiev, Alibek; Mukhamadiyev, Abdinabi; Cho, Jinsoo; Department of Data Communication Networks and Systems
As an alternative to flat architectures, clustering architectures are designed to minimize the total energy consumption of sensor networks. Nonetheless, sensor nodes experience increased energy consumption during data transmission, leading to a rapid depletion of energy levels as data are routed towards the base station. Although numerous strategies have been developed to address these challenges and enhance the energy efficiency of networks, the formulation of a clustering-based routing algorithm that achieves both high energy efficiency and increased packet transmission rate for large-scale sensor networks remains an NP-hard problem. Accordingly, the proposed work formulated an energy-efficient clustering mechanism using a chaotic genetic algorithm, and subsequently developed an energy-saving routing system using a bio-inspired grey wolf optimizer algorithm. The proposed chaotic genetic algorithm-grey wolf optimization (CGA-GWO) method is designed to minimize overall energy consumption by selecting energy-aware cluster heads and creating an optimal routing path to reach the base station. The simulation results demonstrate the enhanced functionality of the proposed system when associated with three more relevant systems, considering metrics such as the number of live nodes, average remaining energy level, packet delivery ratio, and overhead associated with cluster formation and routing.
Citation Count: 0
Clustering Algorithm Based on Object Similarity
(al-Farabi Kazakh State National University, 2024) Nishanov, A.Kh.; Akbarova, M.Kh.; Tursunov, A.T.; Ollamberganov, F.F.; Rashidova, D.E.; Department of System and Applied Programming
The article examines the issue of drug clustering. Initially, k classes are arbitrarily formed and the resulting training sample is pre-processed, then the similarities between the objects of each class are evaluated based on the proximity function and the criterion for evaluating the contribution of objects to the formation of their own class. Usually, it is in percentage and is the degree of mutual similarity of objects of each class. In the next steps of the algorithm, first, one object is taken from the first class, and by adding it to all k classes, the contribution of this object to this class is measured. The object will be left in the class which has the most contribution. This process is repeated several times in a row for all objects of the class. The process is stopped when the location of objects does not change and the degree of similarity exceeds the required percentage. As a result, the required clusters are formed. © 2024 Al-Farabi Kazakh National University.
Citation Count: 0
Development of the Librarianship: Analysis of the Status of Librarian Personnel Training in Uzbekistan
(Rezekne Higher Educ inst-rezeknes Augstskola, 2020) Ganieva, Barno; Department of Information and Library Systems
The paper aims to discuss the development of library science in Uzbekistan and the analysis of the current state of training in the field of librarianship. Training in the library sector has always been actual, since libraries are an integral part of the continuing education of the republic. The article provides an analytical overview of the development of the industry interconnected with human resources. The urgency of the problem lies primarily in the fact that it is aimed at substantiating a new approach to the study of the training and professional development of library specialists. The problem of training library workers needs to be developed, both methodological and theoretical foundations. At the same time, the development of a private scientific methodology in the library profession, including in the history and theory of training and professionalization of librarians, allows us to outline the framework for further scientific research.
Citation Count: 0
Erirms Evaluation of the Reliability of Iot-Aided Remote Monitoring Systems of Low-Voltage Overhead Transmission Lines
(Mdpi, 2024) Khujamatov, Halimjon; Davronbekov, Dilmurod; Khayrullaev, Alisher; Abdullaev, Mirjamol; Mukhiddinov, Mukhriddin; Cho, Jinsoo; Department of Data Communication Networks and Systems
Researchers have studied instances of power line technical failures, the significant rise in the energy loss index in the line connecting the distribution transformer and consumer meters, and the inability to control unauthorized line connections. New, innovative, and scientific approaches are required to address these issues while enhancing the reliability and efficiency of electricity supply. This study evaluates the reliability of Internet of Things (IoT)-aided remote monitoring systems specifically designed for a low-voltage overhead transmission line. Many methods of analysis and comparison have been employed to examine the reliability of wireless sensor devices used in real-time remote monitoring. A reliability model was developed to evaluate the reliability of the monitoring system in various situations. Based on the developed models, it was found that the reliability indicators of the proposed monitoring system were 98% in 1 month. In addition, it has been proven that the reliability of the system remains high even when an optional sensor in the network fails. This study investigates various IoT technologies, their integration into monitoring systems, and their effectiveness in enhancing the reliability and efficiency of electrical transmission infrastructure. The analysis includes data from field deployments, case studies, and simulations to assess performance metrics, such as accuracy, latency, and fault detection capabilities.
Citation Count: 0
Fog Computing Capabilities for Big Data Provisioning: Visualization Scenario
(Mdpi, 2022) Khujamatov, Halimjon; Ahmad, Khaleel; Usmanova, Nargiza; Khoshimov, Jamshid; Alduailij, Mai; Alduailij, Mona; Department of Data Communication Networks and Systems
With the development of Internet technologies, huge amounts of data are collected from various sources, and used 'anytime, anywhere' to enrich and change the life of the whole of society, attract ways to do business, and better perceive people's lives. Those datasets, called 'big data', need to be processed, stored, or retrieved, and special tools were developed to analyze this big data. At the same time, the ever-increasing development of the Internet of Things (IoT) requires IoT devices to be mobile, with adequate data processing performance. The new fog computing paradigm makes computing resources more accessible, and provides a flexible environment that will be widely used in next-generation networks, vehicles, etc., demonstrating enhanced capabilities and optimizing resources. This paper is devoted to analyzing fog computing capabilities for big data provisioning, while considering this technology's different architectural and functional aspects. The analysis includes exploring the protocols suitable for fog computing by implementing an experimental fog computing network and assessing its capabilities for providing big data, originating from both a real-time stream and batch data, with appropriate visualization of big data processing.
Citation Count: 3
Paralleling of Calculations and Vectorization of Processes in Digital Treatment of Seismic Signals by Cubic Spline
(Iop Publishing Ltd, 2019) Zayniddinov, H. N.; Mallayev, U.; Department of Artificial Intelligence
In this work the possibility of parallelization of calculations when smoothing data using the cubic spline method using examples of seismic signal processing has been researched. The main indicators of efficiency and acceleration of parallel and sequential algorithms were calculated.
Citation Count: 0
Possibilities and Importance of Using Artificial Intelligence Technologies in Smart Grid Systems
(EDP Sciences, 2024) Khasanov, D.; Khujamatov, H.; Jumanov, K.; Rakhimov, A.; Department of Data Communication Networks and Systems
Smart Grid systems are generally aimed at solving many problems in energy supply, such as: balancing supply and demand, ensuring grid stability, ensuring reliability of electricity supply, and ensuring a wider integration of different generators and consumers. In order to achieve such goals in Smart Grid systems, the possibility of using modern artificial intelligence techniques, like other technologies, is very wide, and its use plays an important role in solving many problems in Smart Grid systems. This paper provides information on various applications, technologies and methods of artificial intelligence that serve to successfully implement the Smart Grid system. Also, the paper focuses on the characteristics of various artificial intelligence techniques and their importance in the developing energy ecosystem. © The Authors, published by EDP Sciences.
Citation Count: 0
Research of Needs in Digital Scientific and Educational Resources in Universities
(Rezekne Higher Educ inst-rezeknes Augstskola, 2020) Rakhmatullaev, Marat; Department of Information and Library Systems
Currently, without the effective information support of scientific research and the educational process, the innovative development of higher education isn't possible. But the databases of leading publishers such as Springer Nature, Wiley, Elsevier, Oxford University Press and others are very expensive for universities in developing countries and countries with economies in transition. It is necessary to conduct researches to analyze the demand for digital information resources of publishers to determine the most popular sources for each university. The article is devoted to the results of research on the demand for electronic scientific and educational resources in 63 universities of Uzbekistan, as well as their impact on publication activity. Interviewed more than 1200 respondents from among doctoral students, applicants for academic degrees, teachers and researchers. Based on the results of the survey, the most frequently used sources of information for scientific research, problems they face when writing scientific articles, and information resources they often use are identified. Such researches were conducted in the republic for the first time. The results of the survey made it possible to get a clear picture of the state of information support of universities, to develop recommendations to improve of acquisition funds of academic libraries, on organizing and conducting thematic trainings for doctoral students, teachers, and researchers.
Citation Count: 0
Virtual Digital Libraries for Professional Education
(Rezekne Higher Educ inst-rezeknes Augstskola, 2015) Rakhmatullaev, Marat; Department of Information and Library Systems
The article is devoted actual problems of support of the system of professional education on the basis of development corporate network and virtual libraries of colleges. Some important results of applied researches on creation of the corporate network of Uzbekistan libraries are given. The information about the basic information sources (databases, multimedia encyclopedias and characteristics of other resources) actively used in educational process and virtual libraries are included too.

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