Zhadra Moldasheva Zholamanovna

Verified @mail.ru

Профессор кафедры прграммной инженерии
Atyrau university named oof after Kh. Dosmukhamedov

Zhadra Moldasheva Zholamanovna


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https://researchid.co/zhadira1985

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Information Systems, Computer Science, Artificial Intelligence
12

Scopus Publications

Scopus Publications

  • DEVELOPMENT OF THE SCITRACK INFORMATION SYSTEM FOR AUTOMATING REPORTING IN THE EDUCATIONAL PROCESS
    Zhanna Shangitova, Malika Shangitova, Baktygul Assanova, Shynar Yelezhanova, Zhadra Moldasheva, Elvira Gaisina
    Eastern European Journal of Enterprise Technologies, 2026
    The object of the study is the automation of accounting and reporting of scientific activities in educational organizations. The problem addressed is the inefficiency and high labor intensity of existing approaches, as well as the limited adaptability of available solutions to institutional needs. With the digitalization of educational organizations, there is a growing demand for effective information systems that automate accounting processes and generate reports on academic and pedagogical activities. Existing solutions, mainly international and local Enterprise Resource Planning (ERP) systems, offer extensive functionality but are complex, resource-intensive, and poorly adapted to educational institutions. A modular information system was designed and implemented, managing data on staff, publications, and awards, with a unified data model and automated report generation. The essence of the results lies in the development and validation of the SciTrack (Republic of Kazakhstan) system, which integrates all scientific activity data into a single structured environment and ensures automated processing and reporting. Its modular design and centralized database eliminate data duplication, reduce manual work, and accelerate report preparation. SciTrack is easy to customize, simpler to implement than traditional ERP systems, and automatically calculates summary indicators, such as total publications and awards. Standardized data structures, centralized storage, and automated algorithms implemented in Python with a Tkinter interface explain these results. The system improves reporting efficiency, reduces labor costs, and enhances analytical quality, demonstrating practical value for educational organizations. It can be deployed in universities with basic information technologies infrastructure requiring regular monitoring of research performance
  • HEURISTIC APPROACH TO MULTI-CRITERIA OPTIMISATION OF A MODEL BASED DELAYED COKING PROCESS IN FUZZY ENVIRONMENT
    News of the National Academy of Sciences of the Republic of Kazakhstan Series of Geology and Technical Sciences, 2025
  • DECISION MAKING ON EFFECTIVE CONTROL OF RECTIFICATION PROCESS IN THE MAIN COLUMN OF DELAYED COKING UNIT IN FUZZY ENVIRONMENT
    News of the National Academy of Sciences of the Republic of Kazakhstan Series of Geology and Technical Sciences, 2025
  • Method of Synthesis of Linguistic Models of Slow Coking Unit Coking Reactors in Fuzzy Environment
    Baktygul Assanova, Batyr Orazbayev, Zhanna Shangitova, Zhadra Moldasheva, Kulman Orazbayeva, Dinara Kaibassova
    Isas 2025 9th International Symposium on Innovative Approaches in Smart Technologies Proceedings, 2025
    This study addresses the challenges associated with constructing mathematical models for systems described by imprecise or fuzzy data inputs and outputs. A novel approach is introduced for synthesizing linguistic models tailored to complex technical systems operating within fuzzy environments. Specifically, the methodology is applied to the modeling of delayed coking unit (DCU) reactors using fuzzy logic principles. A fuzzy inference system was designed based on expert-derived rule bases to evaluate coke quality and fugacity under uncertain operational conditions. MATLAB’s Fuzzy Logic Toolbox was employed to simulate the fuzzy environment and derive the models. The developed linguistic models effectively capture the influence of temperature and pressure on coke quality, offering a powerful tool for system analysis and decision-making.
  • A FUZZY DECISION-MAKING METHOD FOR CONTROLLING OPERATION MODES OF A HARD-TO-FORMALISE RECTIFICATION COLUMN OF A DELAYED COKING UNIT
    News of the National Academy of Sciences of the Republic of Kazakhstan Series of Geology and Technical Sciences, 2024
    The quality and depth of content Web of Science offers to researchers, authors, publishers, and institutions sets it apart from other research databases. The inclusion of News of NAS RK. Series of geology and technical sciences in the Emerging SourcesCitation Index demonstrates our dedication to providing the most relevant and influential content of geology and engineering sciences to our community.
  • METHODS OF MULTI-CRITERIA SELECTION IN PETROLEUM GEOLOGY UNDER CONDITIONS OF FUZZY INITIAL DATA
    B. Orazbayev, M. Urazgaliyeva, A. Gabdulova, Zh. Moldasheva, Zh. Amanbayeva
    News of the National Academy of Sciences of the Republic of Kazakhstan Series of Geology and Technical Sciences, 2023
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  • Development of Coke Chambers Models of Delayed Coking Unit under uncertain initial information
    Baktygul Assanova, Batyr Orazbayev, Zhanna Shangitova, Zhadra Moldasheva, Kulman Orazbayeva, Dinara Kozhakhmetova
    Isas 2023 7th International Symposium on Innovative Approaches in Smart Technologies Proceedings, 2023
    Problems of development of complex technological objects models, on the example of coke chambers of delayed coking unit, which are characterised by fuzzyness of some output parameters, are investigated and an approach to their solution is proposed. A method for developing models of objects with fuzzy parameters has been developed and described, which is implemented in the development of clear and fuzzy models of coke chambers. The originality of the proposed method lies in the development of effective models of objects with fuzzy parameters using available statistical and fuzzy information and the idea of a systems approach. On the basis of the developed models, the simulation of the modes of operation of coke chambers was carried out and the optimal modes of their operation were determined. The obtained results of the proposed method are compared with the results of known methods and real production data, and the advantages of the proposed approach to modelling taking into account the fuzzyness of some output parameters of the object are shown.
  • PROBLEMS OF INCREASING THE DEPTH OF GEOLOGICAL EXPLORATION AND OIL REFINING IN KAZAKHSTAN AND APPROACHES TO THEIR SOLUTION
    K.N. Orazbayeva, M.K. Urazgaliyeva, Zh.Zh. Moldasheva, N.K. Shazhdekeyeva, D.O. Kozhakhmetova
    News of the National Academy of Sciences of the Republic of Kazakhstan Series of Geology and Technical Sciences, 2022
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  • MODELING AND OPTIMIZATION OF OPERATING MODES OF OIL HEATING TUBE FURNACES
    News of the National Academy of Sciences of the Republic of Kazakhstan Series of Geology and Technical Sciences, 2022
  • METHOD OF DEVELOPING MODELS OF CHEMICAL AND TECHNOLOGICAL SYSTEMS OF OIL REFINING UNDER UNCERTAINTY
    Zh. Moldasheva, K. Orazbayeva, Zh. Abdugulova, B. Utenova, Sh. Kodanova
    News of the National Academy of Sciences of the Republic of Kazakhstan Series of Geology and Technical Sciences, 2022
    The quality and depth of content Web of Science offers to researchers, authors, publishers, and institutions sets it apart from other research databases. The inclusion of News of NAS RK. Series of geology and technical sciences in the Emerging Sources Citation Index demonstrates our dedication to providing the most relevant and influential content of geology and engineering sciences to our community. . Web of Science
  • Automated systems for main oil pipelines diagnostics and control
    Ye A Ospanov, Zh Zh Moldasheva, T Zh Toleuov, G S Shuteyeva, A I Demyanenko, A A Seidaliyev
    Iop Conference Series Materials Science and Engineering, 2021
  • DEVELOPMENT OF MATHEMATICAL MODELS AND OPTIMIZATION OF OPERATION MODES OF THE OIL HEATING STATION OF MAIN OIL PIPELINES UNDER CONDITIONS OF FUZZY INITIAL INFORMATION
    Batyr Orazbayev, Zhadra Moldasheva, Kulman Orazbayeva, Valentina Makhatova, Lyailya Kurmangaziyeva, Aigul Gabdulova
    Eastern European Journal of Enterprise Technologies, 2021